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Relevant bibliographies by topics / Sahiwal cow

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Academic literature on the topic 'Sahiwal cow'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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Journal articles on the topic "Sahiwal cow"

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I. Anwar. "MILK COMPOSITION EVALUATION IN DIFFERENT BREEDS OF LOCAL DAIRY TYPE ANIMALS IN PUNJAB." Pakistan Journal of Science 76, no. 01 (2024): 54–58. http://dx.doi.org/10.57041/pjs.v76i01.1086.

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The current study was carried out during the reign of July 2022 to June 2023 involving 1682 collected milk samples to evaluate the effect of species on milk composition including fat, protein, solid not fat (SNF) and total solids (TS) from indigenous livestock species of Punjab, Pakistan kept for milk purpose under local conditions including cow, sheep, goat and camel. The study was carried out a Livestock Production Research Institute, Bahadurnagar, Okara. The objective of current study was to investigate the effect of species on composition of milk for. For this purpose the milk samples were

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I. Anwar. "MILK COMPOSITION EVALUATION IN DIFFERENT BREEDS OF LOCAL DAIRY TYPE ANIMALS IN PUNJAB." Pakistan Journal of Science 76, no. 01 (2024): 54–58. https://doi.org/10.57041/vol76iss01pp54-58.

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The current study was carried out during the period of July 2022 to June 2023 with a total of 2012 milk samples to evaluate the effect of species on milk composition including fat, protein, solid not fat (SNF) and total solids (TS). The milk samples were collected from indigenous livestock species of Punjab Pakistan including cow, buffalo, sheep, goat and camel kept for milk purpose. The study was carried out at Livestock Production Research Institute (LPRI) Bahadurnagar, Okara. The objective of current study was to investigate the effect of species and breed on composition of milk. Milk sampl

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3

Dwivedi, Shripati, Ajmer Singh, B. S. Chandel, Deepak Kumar Patel, and Alok Dube. "Economic Performance of Selected Dairy Breeds in Ayodhya Mandal, Uttar Pradesh." Indian Journal of Extension Education 60, no. 1 (2024): 124–27. http://dx.doi.org/10.48165/ijee.2024.601rn1.

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The study estimated the milk production in the Ayodhya mandal of Uttar Pradesh for selected dairy breeds, Sahiwal, Murrah, and Crossbred (with jersey) during the years 2020-2021. Using a pre-tested structured schedule, primary data was collected on 108 dairy animals of the selected dairy breeds and their respective lactation groups. This study used the snowball sampling technique to select animals from different lactation groups and the budgetary technique to calculate the costs and returns. There was a significant increase in the cost of milk production, which was measured by the cost of milk

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Pasan, A. J. R. P., B. D. R. Prasantha, and K. S. P. Amarathunga. "Relationship between milk stability and physico-chemical characteristics of raw milk of different breeds during storage at ambient temperature." Sri Lankan Journal of Biology 10, no. 1 (2025): 1–11. https://doi.org/10.4038/sljb.v10i1.174.

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This study investigated the relationship between milk stability and physico-chemical characteristics of raw milk of four cow breeds in Sri Lanka: Sahiwal, Friesian Cross, Jersey Cross, and Australian Friesian Sahiwal. This study examined the changes in electrical conductivity (EC), pH, turbidity, and total soluble solids (TSS%) during an 8 h storage period at ambient temperature (28±1 oC) and their correlation with the alcohol test results as a platform test. Results indicated that EC did not significantly change in the raw milk samples of Sahiwal, Friesian cross, or Australian Friesian Sahiwa

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5

Pathak, Puneet, Shashi Prabha Yadav, Anil Kanaujia, Shivcharan, Divyanshu Dubey, and Surbhi Sharma. "Isolation and Characterization of Multifunctional Plant-Growth-Promoting Bacteria from Indigenous Sahiwal Cow Dung for Sustainable Agriculture." Microbiology Research Journal International 35, no. 7 (2025): 10–24. https://doi.org/10.9734/mrji/2025/v35i71593.

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India, with its rich livestock diversity, has indigenous cow breeds such as Sahiwal. These native breeds have evolved resilience to climatic stress and nutritional scarcity, yet remain underutilized due to low milk yield. This study explores an alternative valorization strategy by investigating the microbial potential of Sahiwal cow (from Sonipat District of Haryana) dung for potential agricultural applications. Fresh samples were analyzed for microbial load and then subjected to the isolation, identification, and functional characterization of the associated microflora. Particular focus was p

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6

Reddy, Y. Nagendra, and K. Anusha. "Successful management of mummified foetus in a Sahiwal cow." International Journal of Veterinary Sciences and Animal Husbandry 8, no. 4 (2023): 114–15. http://dx.doi.org/10.22271/veterinary.2023.v8.i4b.579.

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Shaz Murtuza, Mohammed, Ashok Kumar Devarasetti, Akkaldevi Jayasri, B. D. P. Kalakumar, Anumolu Vijaya Kumar, and Lavudya Naveen. "Antimicrobial evaluation of Bovine Lactoferrin: A bioactive protein isolated from milk of crossbred and Indigenous cow breeds." emergent Life Sciences Research 08, no. 02 (2022): 52–58. http://dx.doi.org/10.31783/elsr.2022.825258.

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A multifunctional iron-binding glycoprotein called lactoferrin (Lf) acts as a broad-spectrum first line of defense against fungi, protozoa, bacteria, and viruses. Bovine Lactoferrin (BLf), which was extracted from the milk of crossbred and native breeds of cattle, was investigated for its antibacterial properties. The BLf protein was purified from the milk of HF crossbred and indigenous breeds like Sahiwal and Poda thurpu cows using the cation-exchange chromatography method and Broth microdilution and disc diffusion techniques were used to investigate the antibacterial activity. The minimum in

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8

Rizal, Abdul, Musram Abadi, S. Surahmanto, and La Harudin. "An Analysis of the Development and Income of Sahiwal Cross Cattle Business during the Covid 19 Pandemic in Konda District South Konawe Regency." Chalaza Journal of Animal Husbandry 6, no. 1 (2021): 6–11. http://dx.doi.org/10.31327/chalaza.v6i1.1389.

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The study aimed to provide information on strategy development and income level of the Sahiwal Cross cattle business. The research method used was a survey. The researcher applied a stratified random sampling technique to determine the research sample. The location of the research was determined by considering the largest number of cattle and area representativeness. The respondents of this research consisted of all Sahiwal Cross cattlemen in Konda District. Research data were analyzed by applying SWOT Analysis. SWOT Analysis was used to describe the development strategy, and the income level

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9

Talukder, MAI, JM Panandam, Y. Halimatun, and I. Idris. "Milk Composition and Quality of Sahiwal Friesian Crossbred Cow Studied in Malaysia." Agriculturists 11, no. 2 (2013): 58–65. http://dx.doi.org/10.3329/agric.v11i2.17488.

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Six groups of Sahiwal-Friesian crossbred cows, namely M50-1, M50-2, M50-3, M56, M63 and M75-1 were evaluated. In total 180 cows were used and milk collected was evaluated for composition and quality. The effect of genotypes was significant (P?0.05) only for titrable acidity (TA) and milk yield (MY). The M50-1 had the highest milk yield per day (8.73 ± 1.65 kg) but this was not significantly different from the yields of M50-3, M56 and M75-1 (7.06 ± 0.84, 7.06 ± 0.96, 7.70 ± 0.82 kg), respectively. Lactation stage had significant (P?0.05) effect on milk yield, fat content, solids-not fat (SNF) c

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DAHIYA, NARESH KUMAR, SHALINI BHASKAR BAJAJ, A. P. RUHIL, and VIVEK JAGLAN. "Udderly accurate: A deep learning based modelling for determination of dairyness of Sahiwal cow using computer vision." Indian Journal of Animal Sciences 94, no. 1 (2024): 83–87. http://dx.doi.org/10.56093/ijans.v94.i1.141798.

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Dairy farming is a crucial agricultural practice for food and nutritional security. Selection of the best milching animals has always been a challenging task for optimising production efficiency. The efficacy of milk yield production is contingent upon a number of factors including inherent linear traits. Linear traits refer to the quantifiable physical characteristics that are associated with the production and reproduction capabilities of dairy animals. This article presents an innovative approach for the classification of Sahiwal cows into high, medium and low yielder categories based on im

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Conference papers on the topic "Sahiwal cow"

1

Dahiya, Naresh Kumar, Shalini Bhaskar Bajaj, A. P. Ruhil, and Vivek Jaglan. "A deep learning-based framework for identification of Sahiwal cow." In RECENT ADVANCEMENTS IN COMMUNICATION, COMPUTING, AND ARTIFICIAL INTELLIGENCE (RACCAI-2023). AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0221772.

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