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Journal articles on the topic 'Dairy cattle'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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1

Dirasta, Suny, Muhammad Irfan Affandi, and Yuliana Saleh. "ANALISIS KELAYAKAN FINANSIAL USAHA TERNAK SAPI PERAH GISTING DAIRY FARM DI KECAMATAN GISTING KABUPATEN TANGGAMUS." Jurnal Ilmu-Ilmu Agribisnis 12, no. 2 (2024): 108. http://dx.doi.org/10.23960/jiia.v12i2.7711.

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Thisl researchl aims tol analyzel thel feasibility of dairy cattle business by employing investment assessment criterial NPV, lIRR, net lB/C, grossl B/C, payback period andl sensitivity. . Thisl research wasl conducted at Gisting Dairly Farm, Gisting District, Tanggamus Regency. Data collection was conducted from July toAugust 2022. Respondentsl for the research were l the ownerl and l employees ofl Gisting Dairyl Farm. The datal were analyzedl quantitativelyl by using measurementl criteria ofl financiall viability andl sensitivityl lanalyzes. The resultsl showedl thatl dairy cattlel businessl isl financially viablel asl indicatedl by NPVl valuesl ofl IDR 2,116,549,122.00; Net lB/C valuesl of 3.54; Grossl B/C valuesl of 1.54; IRRl values ofl 27.57 percent; PPl of 5.03 froml the economicl life ofl dairy cattlel for eightl years, andl dairy cattlel business isl still viablel despite of decreasing ofl milk sales cost byl 12 percent, andl increasing ofl cow maintenancel cost ofl 10 lpercent. lKey words: dairy cattle, lfeasibility, financial, sensitivity

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2

Politiek, R. D. "Dairy-cattle production." Livestock Production Science 22, no. 3-4 (1989): 367–68. http://dx.doi.org/10.1016/0301-6226(89)90068-7.

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3

Katkov, Aleksey A., Gennady P. Yukhin, Vladimir M. Martynov, and Pavel V. Kovalev. "DAIRY CATTLE WATERING." Vestnik Bashkir State Agrarian University, no. 4 (2022): 97–102. http://dx.doi.org/10.31563/1684-7628-2022-64-4-97-102.

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4

Stokka, Gerald L., John F. Smith, James R. Dunham, and Anne T. Van. "Lameness in dairy cattle." Kansas Agricultural Experiment Station Research Reports, no. 2 (January 1, 1996): 46–50. http://dx.doi.org/10.4148/2378-5977.3246.

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5

SAKURAI, KENICH, TOSHIKAZU MATSUOKA, YASUSHI KOUNOSU, et al. "PasteurellahaemolyticaInfection in Dairy Cattle." Journal of the Japan Veterinary Medical Association 41, no. 10 (1988): 731–34. http://dx.doi.org/10.12935/jvma1951.41.731.

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6

Prince, M. "Paratuberculosis in dairy cattle." Veterinary Record 121, no. 16 (1987): 383. http://dx.doi.org/10.1136/vr.121.16.383-a.

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7

Fricke, P. M. "Twinning in Dairy Cattle." Professional Animal Scientist 17, no. 2 (2001): 61–67. http://dx.doi.org/10.15232/s1080-7446(15)31599-0.

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8

Veerkamp, R. F., M. P. L. Calus, B. Beerda, and J. Ten Napel. "Robustness in dairy cattle." Proceedings of the British Society of Animal Science 2007 (April 2007): 259. http://dx.doi.org/10.1017/s1752756200021621.

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Robustness can be defined as “the capacity to handle disturbances in common and sustainable, e.g. economically, systems”. To achieve a robust farming system, a broad perspective is needed (Napel 2005), but here we focus on genetic selection for robust cows and the origin of the need for such animals.

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9

Scott, P. R. "Lameness in dairy cattle." British Veterinary Journal 152, no. 1 (1996): 11–12. http://dx.doi.org/10.1016/s0007-1935(96)80081-9.

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10

Holschbach, Chelsea L., and Simon F. Peek. "Salmonella in Dairy Cattle." Veterinary Clinics of North America: Food Animal Practice 34, no. 1 (2018): 133–54. http://dx.doi.org/10.1016/j.cvfa.2017.10.005.

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11

Cooper, Richard. "Ketosis in dairy cattle." Livestock 19, no. 2 (2014): 74–82. http://dx.doi.org/10.12968/live.2014.19.2.74.

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12

Mayank, Kumar Agarwal Lalit Kumar Saini. "Ketosis in Dairy Cattle." Science World a monthly e magazine 3, no. 7 (2023): 1512–16. https://doi.org/10.5281/zenodo.8172163.

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Ketosis is the metabolic disorder in dairy cattle in early stage of lactation (first 6-8 weeks). It occurs when energy requirement of the animal exceeds the energy intake which results in negative energy balance. This condition occurs due to low level of blood glucose. During glucose deficiency the body fat is mobilized and processed in liver to meet the energy requirements. When higher quantity of fat gets mobilized, these fatty acids are not properly metabolized in the body leading to increased level of ketone bodies (also called ketonemia) likes; acetone (also called acetonemia) acetoacetate acid and β-hydroxybutyrate (BHB) in the blood and accumulate in the liver. In blood, high level of ketone bodies & low blood sugar and presence of ketone bodies in urine are the characteristic features of ketosis. Reduced appetite in later stage of gestation or after calving or due to any disease conditions is one of the causes for ketosis. The condition is highly economically important as it results in reduced milk production during the peak lactation period and delayed conception leading to longer inter calving period.

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13

Fikiru, Getaachew. "Challenges and Opportunities of Dairy Cattle Production in Selected Districts of North Shewa Zone, Oromia, Ethiopia." Advances in dairy Research 10, no. 3 (2022): 9. https://doi.org/10.5281/zenodo.11197353.

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The study was conducted at North shewa zone of Oromia regional state, to assess major challenges face the dairy cattle production and opportunities for dairy development in the study area. A cross-sectional survey was used; three districts were selected from the zone and three kebeles were selected purposively based on dairy potentials. Three hundred sixty respondents were randomly selected for a structured interview. Both focus group discussion and depth interview with key informant was conducted to support the data obtained from the farmers. Almost (83.3%) of the dairy cattle owners were male-headed and mostly completed primary school (46.1%). The family size was between 1 and 5(53%) having had scarce (1.81 ± 0.24 ha) land to produce the large size of dairy cattle. Children were responsible for herding and take care of the dairy cattle. Women were controlled milking, cleaning and marketing of the dairy and dairy products. Inadequate animal feed, animal health problems, poor genetic potentials, limited artificial services, limited livestock credit and insurance service, poor dairy market linkage, absence of dairy technology and lack of institutional support were major identified dairy cattle production challenges while suitable environment, high demand for dairy and dairy product and nearest to the centre as dairy production potentials and the study is highly recommended that planning of dairy policy, provision of credit and insurance, motivating of the formal market channel and improving dairy production inputs(feeds, drugs, semen, technologies, technicians and heifers).

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14

Prasetyo, Edy, Titik Ekowati, and Dian Wahyu Harjanti. "THE EFFECT OF AGRIBUSINESS SYSTEM IMPLEMENTATION TO DAIRY CATTLE FARMS PRODUCTIVITY IN SEMARANG REGENCY." Agrisocionomics: Jurnal Sosial Ekonomi Pertanian 4, no. 2 (2020): 274–80. http://dx.doi.org/10.14710/agrisocionomics.v4i2.7216.

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The purposes of study were to examine the agribusiness system implementation of the dairy cattle farms; the average productions of dairy cattle and to analyse the effect of agribusiness system implementation on dairy cattle farm productivity. The study used survey methods and as elementary units were the dairy cattle farmers. The sample was determined by the Purposive quota sampling method towards 69 dairy cattle farmers. Data collected were primary and secondary data. Data were analysed using qualitative descriptive, quantitative descriptive, and inferencial statistic methods (multiple linear regression). The result showed that: (i) the agribusiness implementation system was in good category with score 3.97; (ii) the average business scale of dairy cattle farms was 3.74 head/farmer with composition of lactation dairy cattle and non-lactation dairy cattle was 42.25% and 57.75% respectively, and the milk productivity was 9.05 lt/head/day; (iii) Simultaneously, agribusiness subsystem was significant influenced to cow's milk productivity, while in partial term, the preproduction subsystem, agribusiness support access subsystem, and agribusiness planning were a significant effect on the productivity of dairy cattle farms, while the livestock business management subsystem was no significant effect.

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15

FIKADU WODAJO, TIRFIE. "ENVIRONMENTAL FACTORS INFLUENCE THE LACTATION PERFORMANCE OF CROSSBRED DAIRY CATTLE IN ETHIOPIA: A REVIEW." Greener Journal of Agricultural Sciences 13, no. 1 (2023): 31–36. https://doi.org/10.15580/gjas.2023.1.022223017.

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The effect of environmental factors on the lactation performance of crossbred dairy cattle in Ethiopia is discussed in this review. The efficiency of dairy farming systems is largely determined by the herd’s lactation performance. The evaluation of lactation performance of dairy cattle is critical for the overall development of the dairy industry. Non-genetic (environmental) factors (parity, calving season, and calving year) significantly influenced common lactation performance indicators (daily milk yield (DMY), lactation milk yield (LMY), 305day milk yield (305DMY), and lactation length (LL)). Improving cow management (such as feeding, housing, disease control, and seasonal breeding) should be required to improve the lactation performance of crossbred dairy cattle.

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16

Odriozola, Ernesto, Matias Dorsch, Rubén Caffarena, et al. "Systemic granulomatous disease in dairy cattle from Argentina." Brazilian Journal of Veterinary Pathology 12, no. 1 (2019): 19–23. http://dx.doi.org/10.24070/bjvp.1983-0246.v12i1p19-23.

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17

Fikadu, Wodajo Tirfie. "Environmental factors influence the lactation performance of crossbred dairy cattle in Ethiopia: A review." Greener Journal of Agricultural Sciences, 13, no. 1 (2023): 31–36. https://doi.org/10.5281/zenodo.7730552.

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<strong>The effect of environmental factors on the lactation performance of crossbred dairy cattle in Ethiopia is discussed in this review. The efficiency of dairy farming systems is largely determined by the herd's lactation performance. The evaluation of lactation performance of dairy cattle is critical for the overall development of the dairy industry. Non-genetic (environmental) factors (parity, calving season, and calving year) significantly influenced common lactation performance indicators (daily milk yield (DMY), lactation milk yield (LMY), 305day milk yield (305DMY), and lactation length (LL)). Improving cow management (such as feeding, housing, disease control, and seasonal breeding) should be required to improve the lactation performance of crossbred dairy cattle.</strong>

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18

Marinchenko, T. E. "Automation of dairy cattle breeding." IOP Conference Series: Earth and Environmental Science 624 (January 8, 2021): 012080. http://dx.doi.org/10.1088/1755-1315/624/1/012080.

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19

DePeters, Edward, Juan Medrano, Donald L. Bath, and Donald P. Harper. "Cereal forage for dairy cattle." California Agriculture 44, no. 6 (1990): 21–23. http://dx.doi.org/10.3733/ca.v044n06p21.

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20

Naito, Y. "Vitamin D in dairy cattle." Tohoku Journal Veterinary Clinics, no. 11 (1988): 1–10. http://dx.doi.org/10.4190/jjvc1978.1988.1.

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21

Blowey, Roger. "Claw trimming of dairy cattle." Veterinary Record 177, no. 12 (2015): 319.1–319. http://dx.doi.org/10.1136/vr.h5059.

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22

Archer, Simon, Reuben Newsome, Harry Dibble, et al. "Claw trimming of dairy cattle." Veterinary Record 177, no. 12 (2015): 319.3–319. http://dx.doi.org/10.1136/vr.h5142.

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23

Burnell, Mark, Jon Reader, and Phil Alcock. "Claw trimming of dairy cattle." Veterinary Record 177, no. 16 (2015): 423.2–423. http://dx.doi.org/10.1136/vr.h5620.

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24

Marinchenko, T. E. "Automation of dairy cattle breeding." IOP Conference Series: Earth and Environmental Science 624 (January 8, 2021): 012080. http://dx.doi.org/10.1088/1755-1315/624/1/012080.

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25

Cook, John. "Multiple ovulation in dairy cattle." Livestock 14, no. 7 (2009): 37–39. http://dx.doi.org/10.1111/j.2044-3870.2009.tb00251.x.

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26

Stafford, Kevin. "The welfare of dairy cattle." Journal of the Japan Veterinary Medical Association 58, no. 9 (2005): 597–601. http://dx.doi.org/10.12935/jvma1951.58.597.

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27

Shannon, D. "Necrotic cellulitis in dairy cattle." Veterinary Record 121, no. 11 (1987): 263. http://dx.doi.org/10.1136/vr.121.11.263-b.

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28

Blowey, R. "Digital dermatitis in dairy cattle." Veterinary Record 121, no. 13 (1987): 311. http://dx.doi.org/10.1136/vr.121.13.311-c.

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29

Cagienard, B. "Necrotic cellulitis in dairy cattle." Veterinary Record 121, no. 14 (1987): 334–35. http://dx.doi.org/10.1136/vr.121.14.334.

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30

Sivam, K. "Necrotic cellulitis in dairy cattle." Veterinary Record 121, no. 17 (1987): 407–8. http://dx.doi.org/10.1136/vr.121.17.407.

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31

Blowey, R., and M. Sharp. "Digital dermatitis in dairy cattle." Veterinary Record 122, no. 21 (1988): 505–8. http://dx.doi.org/10.1136/vr.122.21.505.

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32

Lush, Jay L. "Selection Indexes for Dairy Cattle." Zeitschrift für Tierzüchtung und Züchtungsbiologie 75, no. 1-4 (2010): 249–61. http://dx.doi.org/10.1111/j.1439-0388.1961.tb01312.x.

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33

Roberts, Judith, and John Fishwick. "Teat surgery in dairy cattle." In Practice 32, no. 8 (2010): 388–96. http://dx.doi.org/10.1136/inp.c4574.

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34

Gordon, Paddy. "Oestrus detection in dairy cattle." In Practice 33, no. 10 (2011): 542–46. http://dx.doi.org/10.1136/inp.d7479.

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35

Eddy, R. "Solar haemorrhages in dairy cattle." Veterinary Record 132, no. 24 (1993): 615. http://dx.doi.org/10.1136/vr.132.24.615-a.

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36

Logue, D., and S. Kempson. "Solar haemorrhages in dairy cattle." Veterinary Record 132, no. 25 (1993): 640. http://dx.doi.org/10.1136/vr.132.25.640.

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37

Blowey, R. "Solar haemorrhages in dairy cattle." Veterinary Record 132, no. 26 (1993): 663. http://dx.doi.org/10.1136/vr.132.26.663-a.

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38

Indrajit Gayari, Sylvia Lalhmingmawii, and Ajoy Mandal. "Heat stress on dairy cattle." Indian Journal of Animal Genetics and Breeding 43, no. 1,2 (2024): 118–24. http://dx.doi.org/10.59317/ardz9c35.

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Climate change significantly impacts the production, health, welfare, and survival of farm animals. The prolonged heat stress is a major concern in tropical and subtropical regions. Heat tolerance enables livestock to maintain thermal balance under extreme climatic conditions, thus ensuring productivity and animal welfare. There is a feasibility of genetic selection for heat tolerance to improve production and reproduction traits. This genetic selection may provide enduring advantages in maintaining productive and reproductive performances as heat stress is a heritable trait. To identify and integrate traits associated with thermal tolerance into breeding programs, it is imperative to have a robust animal performance records and meteorological data. Temperature humidity index (THI) is a widely used biomarker for assessing heat stress in dairy cows, as it combines air temperature and relative humidity. In regions with sparse weather station coverage, NASA POWER satellite data is a viable alternative for obtaining meteorological information to calculate THI and evaluate heat stress impacts. There are multiple models for calculating THI and those focusing on humidity being more effective in humid climates. Genetic models, particularly reaction norm models based on random regressions, were introduced for estimating genetic parameters for heat tolerance in cattle. These models help to understand genotype-environment interactions and non-linear relationship between THI and milk yield reduction. The continued genetic selection for milk production without considering heat tolerance traits increases susceptibility to heat stress, emphasizing a need for comprehensive selection objectives. This review underscores the importance of incorporating heat tolerance traits into genetic selection for dairy cattle and highlights various biomarkers and genetic models used to estimate heat tolerance. Incorporating these traits into breeding goals is essential to improve thermotolerance while maintaining productivity, bolstering resilience of cattle to climate change.

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39

ДУЛЕПИНСКИХ, Л., О. ЮНУСОВА, and Л. СЫЧЁВА. "Legumes in feeding dairy cattle." Животноводство России, no. 9 (September 22, 2023): 55–56. http://dx.doi.org/10.25701/zzr.2023.09.09.004.

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Экспериментально доказано, что скармливание лактирующими коровам силоса из козлятника восточного вместо разнотравного или клеверного силоса позволяет повысить молочную продуктивность и качество молока.

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40

Boyle, Debora, Susan G. Gerberich, Robert W. Gibson, et al. "Injury from Dairy Cattle Activities." Epidemiology 8, no. 1 (1997): 37–41. http://dx.doi.org/10.1097/00001648-199701000-00006.

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41

MACMILLAN, K. L. "Reproductive efficiency in dairy cattle." Australian Veterinary Journal 62, s1 (1985): 41–48. http://dx.doi.org/10.1111/j.1751-0813.1985.tb13888.x.

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42

Lonergan, Pat, Trudee Fair, Niamh Forde, and Dimitrios Rizos. "Embryo development in dairy cattle." Theriogenology 86, no. 1 (2016): 270–77. http://dx.doi.org/10.1016/j.theriogenology.2016.04.040.

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43

van Arendonk, Johan A. M., and Anna-Elisa Liinamo. "Dairy cattle production in Europe." Theriogenology 59, no. 2 (2003): 563–69. http://dx.doi.org/10.1016/s0093-691x(02)01240-2.

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44

Peter, A. T., P. L. A. M. Vos, and D. J. Ambrose. "Postpartum anestrus in dairy cattle." Theriogenology 71, no. 9 (2009): 1333–42. http://dx.doi.org/10.1016/j.theriogenology.2008.11.012.

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45

Ball, Peter. "Oestrus detection in dairy cattle." In Practice 9, no. 6 (1987): 223–28. http://dx.doi.org/10.1136/inpract.9.6.223.

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46

Ward, Bob. "The Health of Dairy Cattle." Veterinary Journal 164, no. 1 (2002): 77–78. http://dx.doi.org/10.1053/tvjl.2000.0554.

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47

Nicol, J. "Fertility management in dairy cattle." British Veterinary Journal 142, no. 4 (1986): 393. http://dx.doi.org/10.1016/0007-1935(86)90039-4.

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48

Herdt, Thomas H. "Metabolic Diseases of Dairy Cattle." Veterinary Clinics of North America: Food Animal Practice 29, no. 2 (2013): xi—xii. http://dx.doi.org/10.1016/j.cvfa.2013.05.001.

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49

Beaver, Annabelle, Caroline Ritter, and Marina A. G. von Keyserlingk. "The Dairy Cattle Housing Dilemma." Veterinary Clinics of North America: Food Animal Practice 35, no. 1 (2019): 11–27. http://dx.doi.org/10.1016/j.cvfa.2018.11.001.

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50

Gleerup, Karina Bech, Pia Haubro Andersen, Lene Munksgaard, and Björn Forkman. "Pain evaluation in dairy cattle." Applied Animal Behaviour Science 171 (October 2015): 25–32. http://dx.doi.org/10.1016/j.applanim.2015.08.023.

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