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1

Hadiani, Dimas Pratidina Puriastuti, Muhammad Nur Ihsan, Puguh Surjowardojo, and Bambang Ali Nugroho. "Analysis of Dairy Farmers Cooperative Partnership and Participation toward Cooperative Performance to Increase Farmer's Income." ANIMAL PRODUCTION 24, no. 2 (September 11, 2022): 73–82. http://dx.doi.org/10.20884/1.jap.2022.24.2.144.

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The purpose of this study was to analyze the direct and indirect effect of cooperative partnerships,farmer participation and cooperative performance on farmer’s income. This research method was carried outby distributing questionnaires to 164 farmers as research respondents in Kemiri village who were activemembers of the Agroniaga Cooperative Jabung. The research variables were X1 (cooperative partnership), X2(farmers participation), Y1 (cooperative performance), Y2 (farmer's income). The data obtained were analyzedby path analysis using SPSS. The results show that 1) cooperative partnerships have a significant effect directlyon the cooperative performance at 0.533, 2) farmer participation has a significant effect directly on thecooperative performance at 0.362, 3) the cooperative partnership has a significant effect directly on the incomeof farmers at 0.341, 4) farmer participation has a significant effect directly on the income of farmers at 0.426, 5)cooperative performance has a significant effect directly on the income of farmers at 0.180, 6) cooperativepartnership has no significant effect indirectly on the income of farmers through the cooperative performanceat 0.096, 7) farmer participation has no significant effect indirectly on farmer income through cooperativeperformance at 0.18. This study concludes that 1) cooperative partnerships and farmer participation havesignificant effect directly on the cooperative performance, 2) cooperative partnerships, farmer participation,and cooperative performance have a significant effect directly on farmers' incomes, 3) cooperative partnershipsand farmer participation have no significant effect indirectly on farmer income through cooperativeperformance.
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Nurlina, Lilis, Unang Yunasaf, Marina Sulistyati, and Syahirul Alim. "Learning Process of Dairy Farmer in Achieving Dairy Farming’ Succeed (Case Study in KPBS Pangalengan and KSU Tandangsari West Java)." KnE Life Sciences 2, no. 6 (November 26, 2017): 314. http://dx.doi.org/10.18502/kls.v2i6.1054.

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Research on the learning process of dairy farmers in achieving decent scale of livestock farming has been carried out in South Bandung Dairy Farmer Cooperative (Koperasi Peternak Bandung Selatan/KPBS) Pangalengan and Multi Purpose Cooperative (Koperasi Serba Usaha/KSU) Tandangsari. The purposes of this study were to: (1) analyze the learning process of dairy farmer in order to achieve business success; and (2) analyze the success indicators in dairy farming business according to farmer’s perception. This research used case study with descriptive qualitative approach with 32 dairy farmers as informants. Data were analyzed descriptively by several stages namely reduction, categorization of data and conclusions. The results showed: dairy farmers who achieve success in their business is the farmer who has made the process of learning the truth, those who have been able to do active business in changing the behaviour of himself to be able to apply aspects of breeding, feeding and management as they should so that the dairy cattle business that manages has provided benefits and feasibility. The learning process through which the dairy farmers is the result of interaction or influence the motivation to learn instrisic owned by farmers, with reinforcement from outside through training, mentoring and enrichment of others, thus becoming sedentary behaviour or patterned to respond appropriately to problems or the challenges faced in achieving business success. Indicators of successful dairy farming according to farmers were having : productive cow more than 7 cows, decent housing (permanent buildings), four-wheel vehicles, more land for grass planting and able to finance their children to study in university. Keywords: Learning process, dairy cow farming’success, dairy farmers.
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Masango, P. S., J. I. Rugambisa, A. S. Singh, and D. Kibirige. "The Contribution of Swaziland Dairy Board on Dairy Farmers’ Productivity: A Case of Mbabane Sub-Region, Swaziland." Journal of Agricultural Studies 5, no. 2 (June 29, 2017): 163. http://dx.doi.org/10.5296/jas.v5i2.11470.

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The Swaziland Dairy Board (SDB) was established under the Act No. 28 of 1968 to promote increased dairy production to satisfy the domestic and export market. Despite numerous efforts of SDB through its dairy policy goals, Swaziland is failing to achieve self-sufficiency in liquid milk production, and can hardly sustain its local demand. Therefore, the study aimed at establishing the contribution of SDB policy goals on smallholder dairy farmers’ productivity. Primary data was collected from 120 dairy farmers through the use of a structured questionnaire in the Mbabane sub-region. The study characterized dairy farmers as mostly male (57%) who are aged above 55 years and married (88%), attained secondary education(48%) with farming experience of 4 years, milking averagely 2 cows per day, and each cow yielding averagely 10 litres and 13 litres per day for non-SDB and SDB members, respectively. The results further revealed that farmers trained by SDB were practicing more of the recommended animal husbandry practices compared to non-SDB farmers. Moreover, the SDB farmer’s milk yields were higher than non-SDB farmers at 10% significant level, although SDB farmers’ milk productivity is still regarded relatively low. Factors influencing productivity of milk among small holder dairy farmers included sex of the farmer, age, dairy sales incomes, number of milking cows, market distance, use of supplementary feed, dairy records keeping and the breeding system. Therefore, local milk production can increase if the stakeholders in the dairy industry can adopt SDB policy strategies, dairy related services and good livestock husbandry practices.
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4

Nurunisa, V. F., and I. Fadila. "Production Risk Analysis of Dairy Production Cooperative, Bogor, West Java." IOP Conference Series: Earth and Environmental Science 1364, no. 1 (June 1, 2024): 012036. http://dx.doi.org/10.1088/1755-1315/1364/1/012036.

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Abstract Bogor Dairy Production Cooperative (KPS Bogor) is one of the largest dairy cooperatives in Indonesia. Consisting of 127 active members, KPS Bogor produces an average of 78.8 liters of milk per farmer daily. However, the quantity and quality of milk produced fluctuate significantly, leading to income fluctuations for dairy farmers. This situation might indicate production risks faced by dairy farmers. This research aims to analyze the production risk KPS Bogor dairy farmers face. The study analyzes the variance level, coefficient of variation (CV), and the lower limit of dairy farming in KPS Bogor. The results showed that the production risk faced by dairy farmers was categorized as the “very high” category, with a CV value of 0.27 or 27 percent. Sensitivity analysis shows that dairy farmers at KPS Bogor faced the highest risk when the milk price reached the highest price, about 43 percent. Meanwhile, the lowest risk might occur from the production risk.
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5

Singh, Maharaj, Akesh Kumar, and J. P. Upadhyay. "An appraisal of area possessed under forage and pastures by dairy and non dairy farmers in district Mandi, Himachal Pradesh." International Journal of Agricultural Invention 2, no. 01 (June 30, 2017): 47–49. http://dx.doi.org/10.46492/ijai/2017.2.1.11.

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The study was undertaken in three blocks of district Mandi and data were collected about the level of knowledge among dairy and non dairy farmers in district Mandi of Himachal Pradesh. The study reported that the highest average area under cultivated fodder found in Maize crop (0.44ha) followed by Oats (0.25ha), Sorghum (0.16ha) and Berseem (0.15ha) while per non dairy farmer the highest area (0.16ha.) recorded under Maize followed by (0.13ha) Oats, Berseem (0.11ha) and (0.08ha) under Sorghum. As the area possessed under pastures the dairy farmers noticed highest area (0.96ha.) under common pastures followed by (0.68ha) family pasture and (0.24ha). Under hortipastures while in case of per non dairy farmers the highest area (0.93ha) was found under family pasture followed by (0.91ha) common pasture and 0.36ha in hortipasture. As regards to percent area per dairy and non dairy farmers is concerned; the dairy farmers possess more area (14.17%) compared with non dairy farmers (8.43%) in forage crops while non dairy farmer possess more area (34.42%) in pasture compared to dairy farmers (26.65% area). The reasons possessing more area by non dairy farmers under pasture that the maintenance and quality of pastures was not found proper and not getting sufficient fodder out of such pastures.
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6

Misra, Sukant K., Dale H. Carley, and Stanley M. Fletcher. "Dairy farmers' evaluation of dairy cooperatives." Agribusiness 9, no. 4 (July 1993): 351–61. http://dx.doi.org/10.1002/1520-6297(199307)9:4<351::aid-agr2720090406>3.0.co;2-4.

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7

Firdaus, Fuzi Ridwan, Unang Yunasaf, and Syahirul Alim. "Peran Koperasi Peternakan Bandung Selatan (KPBS) Pangalengan Dalam Pemberdayaan Peternak Sapi Perah (Kasus di TPK Cipanas Desa Margamukti Kecamatan Pangalengan Kabupaten Bandung Provinsi Jawa Barat)." Jurnal KIRANA 2, no. 1 (October 18, 2021): 31. http://dx.doi.org/10.19184/jkrn.v2i1.24038.

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The purposes of this research were to find out the role of KPBS Pangalengan in the empowerment of dairy farmers, the empowerment of dairy farmers in TPK Cipanas, and corelation between the role of KPBS Pangalengan with the empowerment of dairy farmers in TPK Cipanas. The research method was survey with questionnaires to 30 dairy farmers. The data obtained was analyzed by spearman rank analysis. The results showed that the role of cooperatives in the empowerment of dairy farmers was in the high category (63.33%), farmer empowerment in medium category (56.67%), and the correlation between the role of KPBS Pangalengan with the empowerment of dairy farmers in TPK Cipanas showed a positive relation with rs = 0.642. Keywords: Role of KPBS Pangalengan, Farmer Empowerment, Dairy Cows
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8

Rahman, M. A., Y. A. Sarker, M. M. Parvej, A. Parvin, M. A. Rimon, M. Tarafder, S. Sultana, and A. K. Saha. "FARMERS’ KNOWLEDGE, ATTITUDE AND PRACTICES OF MASTITIS IN DAIRY COWS AT SELECTED AREAS OF BANGLADESH." Bangladesh Journal of Veterinary Medicine 16, no. 1 (July 12, 2018): 65–70. http://dx.doi.org/10.3329/bjvm.v16i1.37378.

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The research work was designed to assess farmers’ knowledge, attitude and practices about bovine mastitis. The data were collected by using structured questionnaire through face to face interview techniques among the 65 dairy farmers of Dhaka, Mymensingh, and Gazipur. Disproportionate stratified random sampling was used to select the farmers based on study areas. Most of the studied farms are small (75.4%) in the studied area, only a few (10.8%) farms were large in Dhaka. In Gazipur and Mymensingh almost (86.2%) firms were small and rest of (13.8%) was medium. According to farmer’s knowledge, major cause of mastitis was microorganisms (46.15%), but 20% farmer reported that it is due to injury and 27.69% farmer don’t know the causes of the mastitis. Most of the farmers (87.7%) think that the source of infection is unhygienic floor, but others have no clear conception about it. Before milking only 23.10% farmers’ wash the whole udder where 58.5% used single towel. About 76.9% farmers have no knowledge of screening mastitis and only 9.2% of total farmers performed regular mastitis checking. Among the farmers, 55.4% are used antiseptic solution during washing the floor and others wash their floor only by water. Highest number of farmer use Tube well water (44.6%) for daily management of their farms. Most of the farmer takes suggestions from village doctor or pharmaceutical representative (64.62%) for maintaining the diseases condition. This study recommends that identification of factors associated with sub-clinical mastitis will help to take necessary steps to reduce the prevalence of sub-clinical mastitis. The most effective way to control sub-clinical mastitis is to take preventive measures such as regular cleaning of the floor, keeping the udder clean, milkman's cleanliness, and dry cow therapy especially in high yielding dairy cows.
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9

Masuku, B. B., M. B. Masuku, and A. Belete. "Economic Efficiency of Smallholder Dairy Farmers in Swaziland: An Application of the Profit Function." Journal of Agricultural Studies 2, no. 2 (September 11, 2014): 132. http://dx.doi.org/10.5296/jas.v2i2.6046.

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The purpose of the study was to analyse the economic efficiency of smallholder dairy farmers in Swaziland. Specifically, the study sought to describe the socio-economic characteristics of dairy farmers in Swaziland. The smallholder farmers are classified into: smallholder farmers, medium-scale farmers, and large-scale dairy farmers. The specific objectives of the study were to: estimate the economic efficiency of smallholder dairy farmers in Swaziland; identify factors affecting the economic efficiency of smallholder dairy farmers; and determine the profitability of the smallholder dairy enterprise. This was a descriptive and quantitative survey and the target population was all smallholder dairy farmers registered with the Swaziland Dairy Board (N = 444). A purposive and random sampling techniques was used to select the respondents (n = 111). Three methods of data analysis were used, namely; descriptive statistics, econometric analysis (Stochastic Profit Frontier Function) and gross margin analysis. The mean level of Economic Efficiency (EE) for the famers was 79.8%. The farm’s location, pasture size, soil fertility, water availability, the farmer’s years of experience in dairy farming, membership to dairy farmers’ association and training on dairy farming are factors that influenced the level of EE for smallholder dairy farmers in Swaziland. The smallholder dairy farmers were economically efficient. The institutional factors, socioeconomic and farm characteristics do affect the level of EE among smallholder dairy farmers. The dairy farming enterprise is a profitable enterprise.
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Utami, Hari Dwi, MB Hariyono, Umi Wisaptiningsih, Hary Nugroho, and Nur Cholis. "The impact of education and experience on profit of smallholder dairy farming at Batu City of Malang Raya, Indonesia." E3S Web of Conferences 335 (2022): 00051. http://dx.doi.org/10.1051/e3sconf/202233500051.

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The research was conducted at Batu, City, Malang Raya of Indonesia. Study addressed to examine the farmer characteristics, dairy farming income, and the factors influencing on profit. The case study applied multistage sampling method to select 34 representative farmers which divided into three strata namely, stratum-1 (rearing <4 Animal Units), stratum-2 (owning 4-8 AU), and stratum-3 (controlling >8 AU). Primary data collection used survey method with structured questionnaire, whereas secondary data were available in related institutions and sources. Data analysis implemented descriptive and multiple regression technique. Results confirmed that farmers has experienced about 6-10 years in raising dairy farming and they has secondary school education. The profitable dairy farming was smallholder dairy farming that rearing more than 8 AU with daily income per Animal Unit of IDR 64,554 and structured with IDR 11,131 of revenue and IDR 47,577 of production cost. Farmer’s experience was positively explaining the smallholder dairy profit, and the high school education attainment was more likely to increase venture’s income. The farm return has positive and strong relationships with the more number of dairy cattle owned.
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Chinchmalatpure, Umesh R. "SOCIO-ECONOMIC STATUS OF DAIRY FARMERS AND THEIR CONSTRAINTS IN ADOPTION OF IMPROVED DAIRY MANAGEMENT PRACTICES." Gujarat Journal of Extension Education 2022, no. 1 (November 25, 2022): 22–25. http://dx.doi.org/10.56572/gjoee.2022.si.0006.

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The present study was undertaken in selected villages from two Panchayat Samities i.e. Akola and Barshitakli of Akola district in Maharashtra State. An exploratory design of social research was used for present study. A random sample of 100 dairy farmer were selected as respondents from these two panchayat samities, those who have five years of experience in dairy farming and have more than four milch animal. The data was collected from them and used for analysis and interpretation. The results revealed that, 44.00 per cent of them were in middle age group category, nearly above one third (34%) were educated upto high school level (8th std. to 10th std.), near about half i.e. 48 per cent of the dairy farmers possessed Semi-medium (2.01 to 4.0 ha) category of land holding. The annual income of the 45 per cent and 44 per cent dairy farmers were have upto Rs. 50000/- and Rs. 50001 to Rs. 1,00,000/-, respectively. Majority of them (66%) have 7-12 years of experience in the dairy farming and 74 per cent possessed 5-10 milch animals. More than fifty per cent of the dairy farmers i.e. 56 per cent lived in joint family system and 42 per cent of them have 6-11 members in their family. Majority of the dairy farmers 64 per cent and 60 per cent were in medium category of economic motivation and scientific orientation category, respectively. More than half of the dairy farmers (56%) observed in low category of socio economic status. The relational analysis showed that the variables like land holding, annual income, herd size, economic motivation, scientific orientation and knowledge about improved dairy management practices were found highly significant with socio-economic status of the dairy farmer. It clearly had shown that as these variables increases, socio-economic status of the dairy farmer increases.
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KUMAR, SANJEEV, SANJEEV RANJAN, SURYAMANI KUMAR, and SANJAY KUMAR. "Empowering women dairy farmers through scientific dairy farming practices." Indian Journal of Animal Sciences 88, no. 10 (October 22, 2018): 1203–6. http://dx.doi.org/10.56093/ijans.v88i10.84170.

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The study was carried out in 6 villages of operational area of KVK, Nalanda, about the knowledge levels of the women dairy farmers with respect to the different component of Scientific Dairy Farming Practices (SDFP). Fifteen farmers from each village constituting the sample size of 90 farmers were included in the survey. The responses of the farmers were collected and statistically analyzed. The study revealed that majority of farmers had medium knowledge on different components of SDFP. But, very few farmers had high knowledge about the SDFP, which showed that different dairy development agencies working in Nalanda district were not providing adequate knowledge to the farmers. The knowledge index of different aspect of SDFP, viz. breeding, feeding, health care and management were 42, 37.84, 39.75 and 41.73%, respectively, and overall knowledge index of SDFP was 39.63, which indicated poor knowledge level of farmers in the study area. Therefore, the KVK, Nalanda should make proper action plan in which more training programmes could be organized on SDFP especially for women dairy farmers to empower them in dairying.
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Kittur, Shivani, Anupama S. Nandeppanavar, Medha Kudari, and Laxmi Pujari. "Automation of Dairy Farm for Effective Cattle Management." Journal of Web Development and Web Designing 7, no. 3 (November 18, 2022): 27–31. http://dx.doi.org/10.46610/jowdwd.2022.v07i03.004.

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Dairy farming is a branch of agriculture for long-term milk production. Dairy farming is playing a large position in growing countries. Milk and milk products are gaining huge demand. So the need for quality milk is increased. Dairy farms should adopt good practices like milking hygiene, animal health, nutrition, etc. Thus Automated Dairy Farm application is developed to support the need and challenges of “Vijaykant Dairy and Food Products”. Milking is the main activity of dairy farming. The milk is processed at the farm or at a dairy plant, which intern supports the sale of a dairy product. Farmers have no idea about dairy farming. Farmers do not know how to get a profit while selling milk. And even they do not know how to make milk products. The automated Dairy Farm application is an application introduced to fulfill the requirements of the farmer and other users. The application not only dairy food and products but supports farmer cattle. Cattle management includes cattle feed, cattle injection, health monitoring, nutrition, and reproduction. Different users like supervisors, agents, and farmers are allotted different roles to properly monitoring of activities on the farm. Cattle feed and injections are taken care of regularly. The payment gateway is provided in the application for farmer payments. Thus the application acts as an environment for good dairy farming activities to support farmers.
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Ntaganira, E., NK Taremwa, E. Majiwa, F. Niyitanga, and P. Uwimana. "Impact of contract farming on the income of smallholder dairy farmers from Nyagatare district in the Eastern Province of Rwanda." African Journal of Food, Agriculture, Nutrition and Development 23, no. 5 (May 31, 2023): 23465–88. http://dx.doi.org/10.18697/ajfand.120.22745.

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The demand for dairy milk and its products is projected to increase significantly in the developing countries by the year 2030. Globally, close to 6 billion people consume milk and other dairy products due to rising earnings, population expansion, urbanization, and dietary changes. The projected increase in demand for dairy milk and its products thus requires enhanced productivity by the dairy farmers. However, dairy farming is relatively capital intensive which requires dairy farmers to have disposal income to run the venture. Contract farming is gradually being embraced in Rwanda as a viable option to help farmers increase dairy productivity. The impact of contract farming on dairy farmers’ incomes is however not well documented in the Rwandan context. Thus, the purpose of this study was to assess the impact of contract farming on smallholder dairy farmers’ income in Rwanda among smallholders’ dairy farmers in Nyagatare District. Following the stratification and purposive sampling of two sectors, random sampling of two villages from each of those sectors allowed for the systematic and purposive sampling of representative households and farmers. Data from 214 smallholder dairy farmers were collected using structured interviews and document reviews. The multivariate logistic analysis and propensity score matching was used for data analysis in Stata Version 15. The findings showed that smallholder dairy farmers adopting contract farming earned on average 135,000 RWF (135$) more than their non-adopter counterparts. Further, contract farming was found to have a significant positive impact on income among smallholder dairy farmers in Nyagatare district. However, the impact of contract farming on farmer incomes could be further augmented by increasing the heads of cattle owned per farmer, to at least more than 30. Government intervention is one way to achieve this. The government, in collaboration with businesses like Heifer International, can give heifers to small-scale dairy farmers. Key words: Contract farming, Income, Smallholder dairy farmers, Impact, Rwanda
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Putro, Utomo Sarjono, Dini Turipanam Alamanda, Hesty Nurul Utami, Manahan Siallagan, and Shena Nadya Nirmala. "Factors Influencing Indonesian Dairy Farmers in Making Business Decisions." Asian Journal of Technology Management (AJTM) 14, no. 1 (2021): 75–88. http://dx.doi.org/10.12695/ajtm.2021.14.1.5.

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Abstract. The development of the dairy industry in Indonesia is concentrated in Java and is dominated by the traditional farm with small-scale ownership, which is farmers do not get a big profit, farm management is very simple, farmers low level of education, and most farmers have dairy cattle that functioned as savings. This research was conducted to answer questions about how the behavior and decisions of farmers are influenced by interactions with other agents or factors; and how to encourage farmers to increase the cattle population and milk production so that farmers' income increases and have a sustainable business farm to develop the dairy industry in Bandung Regency. Agent-based modeling was conduction with the help of the SOARS program. In this research, dairy farmers are categorized into three clusters using cluster analysis, which is, the motivated, the survived, and the unsatisfied. Agent-based modeling is suitable for the complexities of this research which are the motivation, behavior, decision, and interactions of dairy farmers will be affecting the output of the dairy industry system as a whole; and to implement some policy scenarios. Keywords: Agent-based, dairy farmer, milk production, business decisions, behaviour
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Fadul-Pacheco, Liliana, Steven R. Wangen, Tadeu Eder da Silva, and Victor E. Cabrera. "Addressing Data Bottlenecks in the Dairy Farm Industry." Animals 12, no. 6 (March 12, 2022): 721. http://dx.doi.org/10.3390/ani12060721.

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A survey to explore the challenges and opportunities for dairy farm data management and governance was completed by 73 farmers and 96 non-farmers. Although 91% of them find data sharing beneficial, 69% are unfamiliar with data collection protocols and standards, and 66% of farmers feel powerless over their data chain of custody. Although 58% of farmers share data, only 19% of them recall having signed a data share agreement. Fifty-two percent of respondents agree that data collected on farm belongs only to the farmer, with 25% of farmers believing intellectual property products are being developed with their data, and 90% of all said companies should pay farmers when making money from their data. Farmers and non-farmers are somewhat concerned about data ownership, security, and confidentiality, but non-farmers were more concerned about data collection standards and lack of integration. Sixty-two percent of farmers integrate data from different sources. Farmers’ most used technologies are milk composition (67%) and early disease detection (56%); most desired technologies are body condition score (56%) and automatic milking systems (46%); most abandoned technologies are temperature and activity sensors (14%) and automatic sorting gates (13%). A better understanding of these issues is paramount for the industry’s long-term sustainability.
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T.A., Gulumbe,, and Bhat, V. "Comparative Study of Economic Diversification of Dairy Farmers with Special Reference to Pune, Maharashtra." CARDIOMETRY, no. 24 (November 30, 2022): 498–509. http://dx.doi.org/10.18137/cardiometry.2022.24.498509.

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India being majorly an agrarian economy primarily has farmers with very small landholdings. Hence, along with agriculture, dairy farming plays an important role in providing livelihood and employment. Especially in the rural areas, the farmers have been completely dependent on rain for their agricultural activities; dairy farming serves as a real savior. As per the statistics, India ranks first in the world as the largest milk-producing country contributing 19% (150 million tons per year) of the total milk production in the world (FASAR AND YESBANK, 2016). Maharashtra is the 7th largest milk-producing state in India and produces about 11.6 million tons per year (Shah, 2014). The present study work was carried out in 4 Talukas viz., Purandhar, Bhor, Baramati, and Shirur of Pune district of Maharashtra. The cluster of three villages was selected from each taluka. Further, 120 farmers were randomly selected following the simple stratified random sampling considering the herd’s size as strata. The farmers were further divided into three classes based on herd size of 1-2 herds as a small-sized farmer, 3-5 as a medium-sized farmer, and more than 5 herds as a large farmer. From these 120 dairy farmers, 50 small farmers were selected, followed by 35 farmers, each under medium and large farmers. The main purpose of this research was to find out the difference in the pattern of cost, profit, and gap behind that small and large size dairy farmer. The questionnaire was prepared, and quantitative data were collected from the random farmers to analyze their capital investment, costs, and profitability in the year 2019-20. Qualitative data were also collected to support the quantitative data of dairy farmers. Of the total selected farmers, 65% of farmers had pure cows, 16.7% of farmers had pure buffalo, and 18.3% had mixed cows and buffaloes. The benefit-cost ratio was higher for the large-sized farmers, which was 1.70, while 1.62 and 1.50 for small and medium-size farmers. The average cost incurred per liter of milk production was Rs. 17.76, Rs. 20.37, and Rs. 19.55 for small, medium, and large size farmers, respectively. The total cost incurred for dairy farming majorly contributes to the feed and fodder cost, which was about 74% of the total cost. The study results showed that the large-sized farmers were getting 18.8% and 27.4% more profit per liter than small and medium-size farmers, respectively.
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Dutton-Regester, Kate J., Tamsin S. Barnes, John D. Wright, and Ahmad R. Rabiee. "Lameness in dairy cows: farmer perceptions and automated detection technology." Journal of Dairy Research 87, S1 (August 2020): 67–71. http://dx.doi.org/10.1017/s0022029920000497.

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AbstractThis Research Reflection provides an overview of three interrelated topics: (i) lameness in dairy cows, demonstrating the underpinning importance of the condition, (ii) dairy farmer detection, diagnosis and treatment of lameness and associated foot lesions as well as dairy farmer perceptions towards the condition and (iii) lameness detection technologies, and their potential application on farm to automate the detection of lameness in commercial dairy herds. The presented literature clearly demonstrates that lameness is a major health issue in dairy herds, compromising dairy cow welfare and productivity, and resulting in significant economic implications for dairy farmers. Despite this, dairy farmers fail to perceive lameness as a serious threat to their dairy business. This restricted perception of the importance of lameness may be a product of limited ability to detect lame cows. Many automated lameness detection technologies have been proposed to assist dairy farmers in managing their herds. However, limitations such as cost, performance and dairy farmer perception of the usefulness of these technologies, has lead to poor uptake. It can, therefore, be concluded that there is a need to more thoroughly evaluate the effectiveness of these technologies under on-farm conditions, potentially in the form of a demonstration farm network. This will allow generation of the necessary data required to show dairy farmers that these technologies are reliable and are economically rational for their dairy business.
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Casali, Marcela, Bruna Sesco de Mendonça, Marcel Moreira de Brito, Marcio Gregório Rojas dos Santos, Pedro Gustavo Loesia Lima, Tiago Teixeira da Silva Siqueira, Julio Cesar Damasceno, and Ferenc Istvan Bánkuti. "Information asymmetry among dairy producers in Paraná, Brazil." Semina: Ciências Agrárias 41, no. 1 (January 10, 2020): 293. http://dx.doi.org/10.5433/1679-0359.2020v41n1p295.

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Milk production has great social and economic importance in Paraná, Brazil. However, dairy farmers have abandoned the activity over the past few years because of difficulties in meeting institutional and market demands for increased milk production and quality. Information asymmetry between dairy farmers and market agents may be contributing to this scenario. It occurs when one agent in a transaction has more or better information than another. Information asymmetry can encourage opportunistic behavior and negatively affect the relationship between parties. These problems can be minimized or resolved by horizontal collaboration, such as participation in farmers’ organizations, cooperatives, or associations. The aim of this study was to assess the extent of information asymmetry among dairy farmers and investigate whether participation in farmers’ organizations strengthens buyer–seller relationships and stimulates compliance with milk quality standards. A total of 204 semi-structured questionnaires were applied to head farmers of dairy production systems in Paraná. Two sets of variables were analyzed: variables related to socio-economic and production characteristics and variables related to transactions between farmers and the dairy industry and the head farmer’s knowledge about milk quality regulations. The second set of variables was subjected to common factor analysis, which generated four factors: F1, knowledge about institutional requirements; F2, technical support from the buyer; F3, technical knowledge; and F4, level of trust in the buyer. Dairy farmers who did not participate in farmers’ organizations operated under greater information asymmetry and were disadvantaged with regard to F2, F3, and F4 (P < 0.05). Participation in horizontal collaborations can help farmers survive and thrive in the dairy activity.
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Casali, Marcela, Bruna Sesco de Mendonça, Marcel Moreira de Brito, Marcio Gregório Rojas dos Santos, Pedro Gustavo Loesia Lima, Tiago Teixeira da Silva Siqueira, Julio Cesar Damasceno, and Ferenc Istvan Bánkuti. "Information asymmetry among dairy producers in Paraná, Brazil." Semina: Ciências Agrárias 41, no. 1 (January 10, 2020): 293–304. http://dx.doi.org/10.5433/1679-0359.2020v41n1p293.

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Milk production has great social and economic importance in Paraná, Brazil. However, dairy farmers have abandoned the activity over the past few years because of difficulties in meeting institutional and market demands for increased milk production and quality. Information asymmetry between dairy farmers and market agents may be contributing to this scenario. It occurs when one agent in a transaction has more or better information than another. Information asymmetry can encourage opportunistic behavior and negatively affect the relationship between parties. These problems can be minimized or resolved by horizontal collaboration, such as participation in farmers’ organizations, cooperatives, or associations. The aim of this study was to assess the extent of information asymmetry among dairy farmers and investigate whether participation in farmers’ organizations strengthens buyer–seller relationships and stimulates compliance with milk quality standards. A total of 204 semi-structured questionnaires were applied to head farmers of dairy production systems in Paraná. Two sets of variables were analyzed: variables related to socio-economic and production characteristics and variables related to transactions between farmers and the dairy industry and the head farmer’s knowledge about milk quality regulations. The second set of variables was subjected to common factor analysis, which generated four factors: F1, knowledge about institutional requirements; F2, technical support from the buyer; F3, technical knowledge; and F4, level of trust in the buyer. Dairy farmers who did not participate in farmers’ organizations operated under greater information asymmetry and were disadvantaged with regard to F2, F3, and F4 (P < 0.05). Participation in horizontal collaborations can help farmers survive and thrive in the dairy activity.
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Mills, K. E., K. E. Koralesky, M. A. G. von Keyserlingk, and D. M. Weary. "Social referents for dairy farmers: who dairy farmers consult when making management decisions." Animal 15, no. 10 (October 2021): 100361. http://dx.doi.org/10.1016/j.animal.2021.100361.

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KHAN, MOHD AMEER, MAHESH CHANDER, and D. BARDHAN. "Risk perceptions and risk management strategies of insured and non-insured dairy farmers: A comparative study." Indian Journal of Animal Sciences 84, no. 6 (July 23, 2014): 694–98. http://dx.doi.org/10.56093/ijans.v84.i6.41654.

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This study was conducted to analyze the farmers’ perceptions of risk and risk management among the farmers who had insured and non-insured their dairy animals. The data originated from a questionnaire survey of insured (120) and non-insured (120) dairy farmers in Gorakhpur district of Uttar Pradesh. Farmers’ Socio-economic characteristics, risk perceptions and risk management strategies were documented. The average land holding, educational status and dairy farm experience of insured respondents was slightly larger than that of the non-insured dairy farmers. Epidemic livestock diseases, climate risk, marketing/sales risk, feed cost variability, Poor conception and delay in treatment/AI emerged as relevant sources of risk to the dairy farmers. The most relevant risk management strategy for the dairy farmers were vaccination of animals, having own agricultural land, having financial reserve, life insurance, livestock insurance and off farm employment. The intensity and domination of risk and risk management tool adopted by dairy farmers varied due to their personal perceptions of risk, socio-economic status of that farmer, farm type and institutional arrangements.
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D.M.Mankar, D. M. Mankar, Y. B. Shambharkar Y.B. Shambharkar, and R. A. Thakare R.A.Thakare. "Multidimensional Study of Dairy Farmers in Vidarbha Region." Indian Journal of Applied Research 1, no. 3 (October 1, 2011): 35–37. http://dx.doi.org/10.15373/2249555x/dec2011/14.

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Kadu, Kavita, Rohini Darade, and Kalyani Sarap. "Problems as perceived by membes and non-members of dairy co-operative societies in Gadchiroli district of Vidarbha region." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 19, no. 2 (June 15, 2023): 545–47. http://dx.doi.org/10.15740/has/ijas/19.2/545-547.

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Studies on problem / constraints faced by dairy farmers revealed that the major problems faced by majority of dairy farmers were related to health, followed by monitory and lastly related to facilities. Problem of high incidence of repeated breeding was mentioned by 76 % and 90.7% of beneficiary and non-beneficiary farmers followed by high incidence of prolapsed of uterus 70% and 84.7% of beneficiary and non-beneficiary farmers. High cost of concentrates and high cost of dairy animal was expressed by 69.3% and 53.3% of beneficiary and 69.13% and 78% of non-beneficiary farmers. Irregularity in payments was mentioned by maximum non-beneficiary farmer (86.7%), whereas only 7.3% of beneficiary farmer mentioned irregularity in payments as constraints for them. The problem related to health and money are major in both beneficiary and non-beneficiary farmers where as untimely payments of bills is major problems for non-beneficiary and it is negligible problem for beneficiary farmer as co-operatives pay them regularly.
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GN, Gayathri, Gopal Sankhala, and Yankam Shivkumar Ramrao. "Entrepreneurial behaviour of dairy farmers under Dairy Business School model." Indian Journal of Dairy Science 76, no. 1 (2023): 91–96. http://dx.doi.org/10.33785/ijds.2023.v76i01.013.

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Entrepreneurship has become the need of the hour with good potential to improve livelihood and generate employment. Most of the small and marginal farmers are dependent on dairy farming and there is a need to enhance the income of the farmers as per government priority to double their income. Hence entrepreneurship development in production, processing, and marketing is essential. So with the aim to inculcate entrepreneurial behaviour among dairy farmers, the Dairy Business School (DBS) was set up on an experimental basis at NDRI, Karnal a premier institute working on Dairy. The present study was conducted in 12 villages in six adjoining districts of NDRI, Karnal. An action research design was used with a sample size of 180 farmers during 2021-22. The data were collected through a pre-tested interview schedule by holding the personal interview. The results of the study revealed that the majority (61.11 %) of the farmers had a medium level of entrepreneurial behaviour. All the thirteen components of entrepreneurial behaviour like risk taking, hope of success, persistence, feedback usage, self confidence, knowledgeability, persuasability, manageability, innovativeness, achievement motivation, decision making ability, cosmopoliteness and profit orientation were at a medium level among dairy farmers. Knowledgeability was ranked first which contributed most to the entrepreneurial behavior of farmers while decision making ability at last.
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Anzuino, K., T. G. Knowles, M. R. F. Lee, and R. Grogono-Thomas. "Survey of husbandry and health on UK commercial dairy goat farms." Veterinary Record 185, no. 9 (August 14, 2019): 267. http://dx.doi.org/10.1136/vr.105274.

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Published research relevant to the UK dairy goat industry is scarce. Current practices and concerns within the UK dairy goat industry must be better understood if research is to have optimal value. A postal survey was conducted of the farmer membership of the Milking Goat Association as a first step in addressing gaps in knowledge. Questions were asked about husbandry practices, farmer observations of their goats and their priorities for further research. Seventy-three per cent of Milking Goat Association members responded, representing 38 per cent of commercial dairy goat farms and 53 per cent of the commercial dairy goat population in England and Wales. Findings were comprehensive and showed extensive variation in farm practices. Farmers reported pneumonia and scours (diarrhoea) as the most prevalent illnesses of their kids. Pneumonia, diarrhoea, failure to conceive and poor growth were the most prevalent observations of youngstock. Overly fat body condition, assisted kidding, failure to conceive and difficulty drying off were the most prevalent observations of adult milking goats. Farmers’ top priorities for further research were kid health (79.5 per cent of farmers), Johne’s disease (69.5 per cent of farmers), tuberculosis (59 per cent of farmers) and nutrition (47.7 per cent of farmers).
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Ibnouf, Mahmoad H., Maen N. Sheqwarah, and Kamel I. Sultan. "Competencies in Dairy Production Needed by Dairy Farmers of Kuku Cooperative Dairy Society in Khartoum State, Sudan." Journal of Agricultural Science 7, no. 12 (November 8, 2015): 129. http://dx.doi.org/10.5539/jas.v7n12p129.

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<p>The dairy farmers of Sudan are facing the lack of some competencies needed for improving the dairy productivity of their cattle. Therefore it is very important to study the farmers competencies in order to put plans for improving the farmers conditions and go for better productivity. The main objective of this study was to identify the competencies in dairy production of Kuku Cooperative Dairy Society (KCDS) in Khartoum State. A random sample of 81 dairy farmers was drawn from the total 162 members of KCDS. A questionnaire was carefully prepared that included a list of 8 understandings and 27 important abilities in the field of dairy production. A rating scale was provided with a 0 to 4 range of the abilities and understandings. The personal interviews with the farmers in the sample were conducted during January, 2013. The data was analyzed using the Statistical Package for Social Science (SPSS). It was concluded that the dairy farmers need more competencies in dairy production. Some competencies need more emphasis than others. The dairy farmers felt that they possessed fewer competencies in dairy production than their actual need. Farmers indicated that they need more competence in areas related to calculating net farm income, selecting sires with high proofs and high repeatability, identifying mastitis problems and treating mastitic cows, recognizing symptoms of sick animals, following the vaccination program, the proper management and the adequacy of feeding calves and herd replacements, and the identification of common parasites.</p>
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Rajpoot, Veenesh, Pawan Singh, and Kotresh Prasad C. "Feeding and Breeding Management Practices of Dairy Animals in Muzaffarnagar District of Uttar Pradesh." Indian Journal of Veterinary Sciences and Biotechnology 17, no. 02 (March 25, 2021): 64–67. http://dx.doi.org/10.21887/ijvsbt.17.2.12.

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The study was conducted to understand farmers’ feeding and breeding practices in the Muzaffarnagar district of Uttar Pradesh. Eighty farmers were randomly selected from four villages of two blocks. These farmers were grouped into three categories based on their landholding size as marginal (less than 1 ha), small (1-2 ha) and medium (2-10 ha). Using a pre-tested interview schedule, data were collected on existing breeding and feeding management practices followed by different categories of farmers.It is revealed that all farmers offered green fodder to their dairy animals @16.03 ± 0.80, 18.96 ± 0.73, and 23.53 ± 0 kg/animal/day, respectively. The majority of farmers (98%) used cake as a concentrate ingredient.51.25% of farmers used A.I.and 20% used the natural method for breeding of dairy animals. A majority (88.75%) considered bellowing with mucus discharge as the signs of estrous in dairy animals. Across the farmer’s categories, 70% of farmers reported repeat breeding problems in their dairy animals. It can be concluded that feeding and breeding management practices followed by the medium category of farmers were better for dairy animals.
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KUMAR, SUNIL, GOPAL SANKHALA, PRIYAJOY KAR, P. H. ROMEN SHARMA, and DEVENDRA KUMAR MEENA. "An Exploratory Study on Farmer’s Perception about dairy-based Farmer Producer Companies in India." Indian Journal of Agricultural Sciences 92, no. 5 (June 14, 2022): 619–24. http://dx.doi.org/10.56093/ijas.v92i5.124749.

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Farmer Producer Company (FPCs) has emerged as a novel collective approach model and is considered to be a very effective tool for improving the overall socio-economic development of small and marginal farmers in India. To authenticate this prerogative, a survey was conducted among 360 dairy farmer members of 12 dairy-based farmer producer companies in three states of India. Most of the farmers expressed that the major objectives of FPCs are to maximize the benefits of members (75.50%), capacity building of its members (76.38%), better accessibility of agricultural services (74.44%) followed by reducing the transport cost of members (72.75%). Furthermore, the study has also investigated the socio-economic variables and their relationship with the individual perception of the farmer about FPCs. Findings aid us to formulate an appropriate strategy that will help to improve the farmers’ perception about the FPCs. Enhanced farmers’ awareness and knowledge about the beneficial effects of FPCs will encourage fellow farmers to form FPCs and reap its benefits on a larger scale
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Maller, C. J., P. H. Hemsworth, K. T. Ng, E. J. Jongman, G. J. Coleman, and N. A. Arnold. "The relationships between characteristics of milking sheds and the attitudes to dairy cows, working conditions, and quality of life of dairy farmers." Australian Journal of Agricultural Research 56, no. 4 (2005): 363. http://dx.doi.org/10.1071/ar04148.

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This study consisted of a survey of dairy farmers and their milking sheds at 198 Victorian dairy farms to examine the relationships between physical features in the milking shed and a number of job-related characteristics of the farmer, such as attitudes to handling cows and job satisfaction. Furthermore, farmers’ opinions of the effects of specific design features of the milking shed on cow behaviour were sought. A further objective of this survey was to use the relationships between shed characteristics and job-related characteristics of the farmer to identify, for future research, possible features of the milking shed that may affect cow behaviour. There was substantial variation in both the behavioural beliefs of farmers about cow behaviour in the milking shed and reports by farmers on comfort and working conditions in the dairy, indicating that considerable opportunities exist to improve these key job-related characteristics. A principal component analysis (PCA) of the responses to the questions on job-related characteristics of the farmer identified 6 factors: 2 of the factors identified were related to behavioural beliefs by farmers about cow behaviour (labelled ‘Cow Movement’ and ‘Cow Behaviour’); one of the factors related to comfort of the farmer in the shed (labelled ‘Operator Comfort’); and 3 of the factors related to aspects of the quality of life of the farmer (labelled ‘Workload’, ‘Farmer Mood’, and ‘Job Characteristics’). Positive beliefs about both cow movement (factor called Cow Movement) and cow behaviour (factor called Cow Behaviour) were correlated with farmers being more positive about working in the dairy (factor called Operator Comfort; P < 0.05 and P < 0.01, respectively) and the characteristics of the job (factor called Job Characteristics; P < 0.01). These relationships suggest that improvements in cow behaviour may lead to improvements in both job satisfaction and the quality of life of the farmer. Furthermore, regression analysis revealed that a number of the shed features, such as height of the breast rail, presence of stall gates, length and width of the platform and solid side on first milking bail, were significant predictors of one or more of these 6 PCA factors. Although these results may not reflect causal relationships, these relationships between shed characteristics and a number of job-related characteristics of the farmer highlight the potential importance of shed design to both the cow and the farmer and provide a valuable guide in identifying features of milking sheds that require future examination as to their effects on cow behaviour.
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Sumekar, W., D. Mardiningsih, B. T. Eddy, A. S. Prasetyo, and Sumarsono. "The Application Integrated Farming System and The Role of Farmer Group." IOP Conference Series: Earth and Environmental Science 1246, no. 1 (September 1, 2023): 012036. http://dx.doi.org/10.1088/1755-1315/1246/1/012036.

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Abstract The application of the integrated farming system in sustainable agriculture has proven to be beneficial for farmers. However, the limitation of landowner and dairy cattle results in farming practices have been conducted separately. The aim of the research was to analyze the roles of farmer groups in encouraging farmers in implementing the integrated farming system. Data was collected using interviews with guided questionnaires to 36 farmers from the Dairy Farmer Group of ‘Mardi Santoso’ in Kopeng Village, Getasan Sub-District, Semarang Regency. Data were analyzed using descriptive and inferential statistics to identify the relationship between the variable of the role of the farmer group and the implementation of an integrated farming system using 4 indicators (food, feed, fertilizer, and fuel). The result showed that farmers were potentially to adopt 4 indicators, yet only 8.33% applied 3 indicators (food, feed, and fertilizer) because the location of their farming field was far from the dairy cow pen and incomplete structure and infrastructure. The four indicators program has created social and economic improvement among farmers, farmer groups, and communities. Meanwhile, the role of farmer groups significantly improved the application of an integrated farming system within the integration of vegetable farming and dairy cattle.
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Amam, Amam, M. Wildan Jadmiko, Pradiptya Ayu Harsita, Nur Widodo, and M. Setyo Poerwoko. "SUMBER DAYA INTERNAL PETERNAK SAPI PERAH DAN PENGARUHNYA TERHADAP DINAMIKA KELOMPOK DAN KONTEKS KERENTANAN." JURNAL ILMIAH PETERNAKAN TERPADU 7, no. 1 (May 20, 2019): 192. http://dx.doi.org/10.23960/jipt.v7i1.p192-200.

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This research aims to find out the influence of dairy farmer’s internal resources on group dynamics and vulnerability context of dairy farming business. The research was conducted at the animal husbandry institution Kelompok Usaha Bersama (KUB) Tirtasari Kresna Gemilang in Pujon Subdistrict, Malang District, East Java Province on October - December 2018. The research variables consisted of financial resources (X1), technological resources (X2), physical resources (X3), group dynamics (Z1), and the context of vulnerability of dairy farming business (Y1). The respondents were all KUB member dairy farmers, namely 174 dairy farmers. Data were analyzed by the SEM (Structural Equation Model) method using SmartPLS 2.0. The results showed that the accessibility of dairy farmers to internal resources affected group dynamics by 33%, while vulnerability context of dairy farming business was influenced by the dairy farmer’s internal resources and group dynamics by 30.3%. The conclusion of the research showed the role of resources could influence to group dynamics and vulnerability context of dairy farming business. Keywords: Dairy Cattle, Farming Business, Group Dynamics, Internal Resources, Vulnerability Context
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Zuroida, Rizqi. "Cages Sanitation and Health Complaints Among Dairy Farmers in Murukan Village, Jombang." JURNAL KESEHATAN LINGKUNGAN 10, no. 4 (December 4, 2018): 434. http://dx.doi.org/10.20473/jkl.v10i4.2018.434-440.

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Dairy farmers have risk to get bad effect from dairy cows waste that is not managed properly, because dairy farmers use to make a contact with dairy cows waste everyday. Dairy cows waste contains various microorganism, gases and other organic materials that can be an agent of disesase in humans. Objectives of this study were to analyze the correlation between cages sanitation that include location of the cages, cage’s construction building, cleanliness of the cage and density of flies with dairy farmer’s health complaints during work in the cages. This was an observational study with cross-sectional approach. Sampling was done by using simple random sampling method. The sample size used in this study was 58 dairy farmers that interviewed about their health complaints during work in the cages and observed the cages. The cages sanitation was sufficient (70,7%), while the density of flies around the cages was medium category (48,3%). Result of this study showed that there was no correlation between cages sanitation with dairy farmer’s health complaints during work in the cages (p=0,710). Dairy farmers should pay more attention and improve their cages sanitation especially in maintaining cleanliness of the cages, so that health complaints can be minimized.
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Bhosale, S. R., A. N. Deshmukh, S. K. Godse, and P. S. Shelake. "Entrepreneurial behaviour of dairy farmers." ADVANCE RESEARCH JOURNAL OF SOCIAL SCIENCE 5, no. 2 (December 15, 2014): 171–74. http://dx.doi.org/10.15740/has/arjss/5.2/171-174.

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35

Raina, Vishal, Neelesh Sharma, Shalini Khajuria, Kamal Kumar, Sunil Choudhary, Zul-i.-huma Syed, and Kafil Hussain. "Training needs of dairy farmers." International Journal of Agriculture, Environment and Biotechnology 10, no. 2 (2017): 245. http://dx.doi.org/10.5958/2230-732x.2017.00029.8.

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36

Tauer, Loren W. "Risk Preferences of Dairy Farmers." North Central Journal of Agricultural Economics 8, no. 1 (January 1986): 7. http://dx.doi.org/10.2307/1349077.

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37

Raina, Vishal, B. Bhushan, Parshant Bakshi, and Shalini Khajuria. "Entrepreneurial Behaviour of Dairy Farmers." Journal of Animal Research 6, no. 5 (2016): 947. http://dx.doi.org/10.5958/2277-940x.2016.00123.6.

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38

G. Triveni, B. Bhanuprakash Reddy, G. R. K. Sharma Y. Ravindra Reddy, and M. A. Harisha. "Entrepreneurial Behaviour of Dairy Farmers." International Journal of Current Microbiology and Applied Sciences 10, no. 5 (May 10, 2021): 507–11. http://dx.doi.org/10.20546/ijcmas.2021.1005.058.

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Brendan Ryan. "Dairy Farmers at the Beach." Antipodes 29, no. 2 (2015): 290. http://dx.doi.org/10.13110/antipodes.29.2.0290.

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40

Yang, W., and K. Rijswijk. "Farmer adoption of pasture renewal practices: the influence of credible information sources." Journal of New Zealand Grasslands 79 (January 1, 2017): 237–43. http://dx.doi.org/10.33584/jnzg.2017.79.535.

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Abstract Effective pasture management in the dairy sector is supported by the pasture renewal practices (PRPs) undertaken by farmers. However, the rate and extent of adoption of PRPs by farmers is influenced by their attitudes toward pasture renewal. The aim of this paper was to help the understanding of drivers and barriers that could be derived from the investigation of farmer attitudes to pasture renewal, and to relate credibility of information sources to their perceptions of pasture renewal. A two-step process was applied to existing survey data of dairy farmers in the Waikato and Bay of Plenty regions of New Zealand. First, a factor analysis clustered the dairy farmers into different groups based on their attitudes to pasture renewal. The results show that satisfaction with previous pasture renewal experiences was an important factor affecting farmer adoption. Second, the results from a correlation analysis between the different clusters, indicates that information from local experts and farmers was valued the most by all groups as they were perceived to be the most credible. Motivated farmers also tended to seek guidance from credible publications and websites. Keywords: pasture renewal, dairy farmers, information credibility, factor analysis
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Deshmukh, Aditya, Aditya Purohit, Aman Pratap Singh, and Anirudha Singh. "Implementation of Android Application In React-Native: Daily Dairy." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1846–52. http://dx.doi.org/10.22214/ijraset.2022.41655.

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Abstract: This paper describes the whole process of android application development using the react-native framework and firebase of google and developed the application “DailyDairy''. The Application is developed for medium-sized and digitally illiterate dairy farmers. The software is divided into milk distribution management and payment transactions, statistics and analysis can be a variety of technical data to analyze, synthesize, organize, and the User Interface is practical, economic, and user-friendly. This application also solves the differences between Vendor and his Customers. This paper also describes the integration of firebase firestore (database provided by google) with android application development with javascript framework react-native and code editor used in is visual studio code by Microsoft. Keywords: Dairy Management, Android application, Vendor, Customer, Milk, Dairy Farmer, Digital Literacy
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Hall, Alison, Lydia Turner, and Sue Kilpatrick. "Understanding Tasmanian dairy farmer adoption of pasture management practices: a Theory of Planned Behaviour approach." Animal Production Science 59, no. 10 (2019): 1941. http://dx.doi.org/10.1071/an18321.

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Improved pasture management and increased pasture utilisation are positively associated with dairy farm efficiency and profitability in Tasmania. Supporting dairy farmers in developing pasture management knowledge and skills has been a key priority for research, development and extension in the Tasmanian dairy industry. The role of extension has been to increase farmer awareness and knowledge of best practice pasture management and to facilitate farmer learning, focusing on training farmers to use pasture measurement tools. However, many farmers have never used a pasture measurement tool, only trialled/tested a tool, and/or do not implement recommended pasture management practices. This study aimed to identify and understand factors influencing pasture management decision-making and behaviour for different farmer subgroups. Qualitative data was obtained through semi-structured interviews with 30 Tasmanian dairy farmers. The Theory of Planned Behaviour was used to identify and explore key factors influencing pasture management behaviour. There was a negative effect of social influence on pasture measurement tool use by experienced farmers, with many perceiving tool use to be for less experienced, younger farmers. This negative influence limited their intention to measure pasture and engage in the learning process required to overcome perceived control factors and change practices. Perceived control factors limiting behaviour change included tool data inaccuracy and challenging calculations associated with applying measurement data on-farm. This study demonstrates how the Theory of Planned Behaviour can be used to identify and understand factors influencing adoption behaviour of Tasmanian dairy farmers and assist in developing recommendations for future extension and pasture management programs.
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Rajput, M. B., B. K. Ashwar, and S. J. Vekariya. "SOCIO-ECONOMIC STATUS AND CONSTRAINTS FACED BY DAIRY FARMERS." Gujarat Journal of Extension Education 36, no. 2 (December 25, 2023): 54–63. http://dx.doi.org/10.56572/gjoee.2023.36.2.0010.

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Socio-economic status of farmer is the position of an individual on the socio economic scale, which is determined by a combination of social and economic factors such as education, income, occupation, herd size and milk production. The present study was conducted in Banaskantha, Sabarkantha and Gandhinagar district of North Gujarat. The data was collected from 180 dairy farmers from 18 villages of selected districts by personal interviewing. The result revealed that majority of dairy farmers were (78.89 per cent) in middle age group, (79.99 per cent) educated up to high school to graduate level, (81.67 per cent) were engaged in dairy farming along with agriculture, (70.00 per cent) had medium level of experience in dairy farming, medium level of knowledge and adoption about recommended animal husbandry practices. They had medium level of extension participation and mass media exposure and majority of them had received one training in a year regarding on scientific dairy farming. With regards to socio-economic characteristics the majority of dairy farmers (41.67 per cent) were in medium to big farmer category, (57.22 per cent) had small sized herd and economic motivation.
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Lane, Murdock, Genskow, Betz, and Chatrchyan. "Climate Change and Dairy in New York and Wisconsin: Risk Perceptions, Vulnerability, and Adaptation among Farmers and Advisors." Sustainability 11, no. 13 (June 29, 2019): 3599. http://dx.doi.org/10.3390/su11133599.

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Climate change impacts on agriculture have been intensifying in the Northeastern and Midwestern United States. Few empirical studies have considered how dairy farmers and/or their advisors are interpreting and responding to climate impacts, risks, and opportunities in these regions. This study investigates dairy farmer and advisor views and decisions related to climate change using data from seven farmer and advisor focus groups conducted in New York and Wisconsin. The study examined how farmers and advisors perceived climate impacts on dairy farms, the practices they are adopting, and how perceived risks and vulnerability affect farmers’ decision making related to adaptation strategies. Although dairy farmers articulated concern regarding climate impacts, other business pressures, such as profitability, market conditions, government regulations, and labor availability were often more critical issues that affected their decision making. Personal experience with extreme weather and seasonal changes affected decision making. The findings from this study provide improved understanding of farmers’ needs and priorities, which can help guide land-grant researchers, Extension, and policymakers in their efforts to develop and coordinate a comprehensive strategy to address climate change impacts on dairy in the Northeast and the Midwest US.
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Engelberts, Liz, Arjan van Rheede, Henk Kievit, and André Nijhof. "Appreciating Multiple Realities in the Transformation towards a Sustainable Dairy Sector: An Explorative Study from the Inside-Out Perspective." Agronomy 11, no. 11 (October 22, 2021): 2116. http://dx.doi.org/10.3390/agronomy11112116.

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The dairy sector is in a systemic lock-in due to reinforcing cycles. This qualitative study, based on 13 in-depth interviews with frontrunning dairy farmers and additional observations, challenges this impression by looking at the sustainable business model innovation from the inside-out perspective of the sustainability-driven niche. The theoretical foundation rests in market transformation, looking at the co-evolution of sustainable business models, regime, system barriers and niche players. The objective is to gain a better understanding on the practices of frontrunner dairy farmers that innovate and overcome system barriers in the transformation from the current regime. The data is collected in 2020 and the analysis is based on template analysis. This study clustered the practices in five groups: an extra margin on milk, perceived support for product diversification, partnerships with specialists, increased transparency, and use of modern technology. Additionally, the appreciation by the farmers of multiple realities and their entrepreneurial competencies helped the dairy farmers to re-establish a closer connection between farmer and consumer, and a better connection between farmer and the production environment, resulting in more biodiverse and landscape-inclusive dairy farming. These insights will help policy makers better cater to the beliefs and values of dairy farmers.
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46

Molla, Abateneh, Azanaw Abebe, Mulugeta Balew, Desyalew Assefa, and Senait Kehali. "Analysis of Farmer's Perception and Constraints on Dairy Cooperatives in Amhara Region, Ethiopia." International Journal on Food, Agriculture and Natural Resources 5, no. 2 (July 2, 2024): 129–39. http://dx.doi.org/10.46676/ij-fanres.v5i2.331.

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This study was done to examine the farmer’s perception and constraints on dairy cooperatives in Amhara region, Ethiopia. A sample of 266 smallholder dairy farmers was selected using a multi-stage sampling technique. Perception of farmers was analyzed using relative importance index, and constraints of dairy cooperative performance were analyzed using Henry Garrett's ranking technique. The result indicates that farmers have a positive perception of certain attributes of dairy cooperatives; such as increasing social networks, improving income, and serving as a saving source. This suggests that farmers believe these aspects of dairy cooperatives are beneficial. Conversely, farmers have concerns and dissatisfaction with the way the cooperative is running, the loyalty of members to the cooperative, member's treatment by cooperatives, and the decision-making process. The study also identified that lack of milk processing facilities, poor member awareness, and member involvement in the decision-making process are the foremost internal challenges of dairy cooperatives, while high cost of cross-breed cows, occurrence of animal disease, and low productivity of local breed cows are external constraints hindering dairy cooperative performance. Thus, to enhance farmers' perception and participation in cooperative activities, emphasis should be given to addressing concerns and improving the overall functioning of dairy cooperatives.
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47

Bhattacharjee, Shraddhanjali, and Dharmendra Nath. "Impact and determinants of membership in dairy cooperative society: The case of smallholder dairy farmers in Barpeta District of Assam." Indian Journal of Dairy Science 76, no. 2 (2023): 176–83. http://dx.doi.org/10.33785/ijds.2023.v76i02.012.

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Dairy cooperatives are associated with creating opportunities for attaining higher level of market integration having implications for significant improvement in income of the dairy farmers. Given the positive impact of DCS membership from the analysis of multivariate regression the study further looks for factors that determine the decision to become membership of DCS. The analysis of the determinants based on logistic regression shows that milch animal holding, credit accessibility, availability of other services from DCS have positive relation with the membership decision, while dairy farming experience, distance to the cooperative collection centre and price of milk are negatively and significantly associated with cooperative membership. The study suggests that facilitating access to credit through dairy cooperatives to meet the financial viability, offering services to dairy farmers like fodder seed, subsidized concentrate feed, veterinary services, and establishment of more collection centre and improving market infrastructure can be instrumental in stimulating farmers’ membership decision to join cooperatives. Overall, to increase farmer’s membership the study recommends policies to take up more awareness programmes and trainings from time to time among the younger farmers on the beneficial effects of participating in cooperative system of dairying. The study concludes that cooperatives can be efficient in fostering wellbeing of the farmers with relatively higher income, employment and nutritional status.
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48

Liang, Yanni, Kai Wang, Brandi Janssen, Carri Casteel, Matthew Nonnenmann, and Diane S. Rohlman. "Examination of Symptoms of Depression among Cooperative Dairy Farmers." International Journal of Environmental Research and Public Health 18, no. 7 (April 1, 2021): 3657. http://dx.doi.org/10.3390/ijerph18073657.

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Farmers experience a high risk of stress, depression, and suicide. Risk factors are well documented but protective factors are seldom examined. Social support has been reported to reduce psychological distress among the general population but its effect on farmers is inconclusive. Agricultural cooperatives are typically created and owned by farmers to secure markets, access supplies and services, and participate in decision-making. It is unknown whether having cooperative resources impacts symptoms of depression. A survey was used to examine whether having access to cooperative programs and social support impacted symptoms of depression among dairy farmers. Farm bankruptcies, stress, depression, and suicide were identified as ongoing concerns. Having social support and cooperative educational opportunities and mentorship programs were associated with decreased symptoms of depression. Conversely, having cooperative policy discussions was associated with increased symptoms of depression. Results suggest that social support can potentially reduce symptoms of depression among farmers and having access to cooperative resources can reduce or increase it, depending on the type of program. Our findings identified an opportunity to further examine how programs provided by farmer-led organizations such as cooperatives can impact stress, depression, and suicide among farmers.
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., Vaishali, and Ritu Mittal Gupta. "Information utilization pattern among male and female dairy farmers of Punjab." Indian Journal of Dairy Science 76, no. 4 (2023): 397–402. http://dx.doi.org/10.33785/ijds.2023.v76i04.013.

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The current research was carried out in rural Punjab to study gender desegregated information seeking and utilization behaviour as well as their role in the dairy venture. By using pretested interview schedule, the data were collected from 160dairy farmers from three socio-cultural zones of Punjab. Gender desegregated role performance showed that male dairy farmers were more responsible for animal health care, feeding and breeding while female dairy farmers were majorly responsible for dairy finance and shed cleaning. Dairy farmers relied more upon the personal cosmopolite sources for the information followed by localite sources and impersonal cosmopolite channels. Male dairy farmer significantly sought more information from DDB, Pash uPalan Mela, State Extension Officer, PAU/KVK experts and progressive farmers as compared to females who significantly sought information more from family/relatives. In the utilizationof information, female dairy farmers were ahead of their male counter parts as they significantly utilize more information sought from progressive farmers, family/relatives, localite organisations and co-operative societies. It is eye opening to note that though women sought less information, whatever they sought they utilize. Results offer food for thought to effectively transfer technologies, ideas, practices to grass root level. It is suggested to ensure equal participation of female in various extension programs so that new ideas are readily accepted and utilised by farm families. So, it can be concluded that if new technologies or innovations are transferred effectively to women then the technologies will be more readily acceptable among farm families.
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Vichea, Soeng Chat, Endang Sulistyowati, and Pao Srean. "Profitability and Correlation Between Koica Milk Shop and Dairy Farm in Selupu Rejang, Bengkulu, Indonesia." AGRITROPICA : Journal of Agricultural Sciences 3, no. 2 (December 1, 2020): 46–57. http://dx.doi.org/10.31186/j.agritropica.3.2.46-57.

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The objective of this research was to analyze profitability and correlation between KOICA milk shop and dairy farms in Selupu Rejang, Rejang Lebong, Bengkulu, Indonesia. Data driven were general condition, performance of Milk Shop, performance of dairy farms, and the correlation between KOICA milk shop and dairy farmer are evaluated. The methodology started by census that chosen only KOICA milk shop owner and dairy farmers who pooled the milk to KOICA milk shop. Data collected then tabulated and analyzed using Excel and Regression. The result showed that both KOICA milk shop and dairy all were gained properly benefit from dairy business. For the average, it was about IDR 6,557,057.75 per month equivalent to USD 493 as a profit in KOICA milk shop. The profit was depending on the milk production from dairy farmer only, if they couldn’t milk from dairy cow, KOICA milk shop won’t be able to earn money. The dairy farmers were also got IDR 3,620,311.09 (USD 272) per month as the average profit from milk, compost and calve. There was very high correlation between the milk produced by dairy farmers then processed by Koica Milk Shop and its profit was r : 0.99. The discovering of this research was very valuable information, and also important to whom it may concern in dairy business as well as dairy farmers and Government for applying or understanding to develop new strategies for reducing production costs and to increase the profit by using model of whom successful in dairy business.
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