Genetic and non-genetic analysis of milk production and some reproductive traits of Friesian cows at Al-Rami Farm

Mahmud, Kanaw Ismail; Mustafa, Nadia W.; Ahmad, Mohsin Ali; Raoof, Salim Omar; Tahir, Ihsan Hasan

doi:10.36531/ijds.2025.159306.1100

	Genetic and non-genetic analysis of milk production and some reproductive traits of Friesian cows at Al-Rami Farm
IRAQI JOURNAL OF DESERT STUDIES
Volume 15, Issue 2, December 2025, Pages 1-6 PDF (660.46 K)
Document Type: Case Report
DOI: 10.36531/ijds.2025.159306.1100
Authors
Kanaw Ismail Mahmud¹; Nadia W. Mustafa²; Mohsin Ali Ahmad^* ³; Salim Omar Raoof⁴; Ihsan Hasan Tahir⁵
¹Animal Resources, Agriculture Engineering sciences , Salahaddin University- Erbil, Erbil, Iraq
²Directorate of education Baghdad Karkh second
³Animal Resouces, Agriculture Engineering sciences, Salahaddin University- Erbil, Erbil, Iraq
⁴General Directorate of Scientific Research Center, Salahaddin University- Erbil, Erbil, Iraq
⁵Rami Farm Project, Erbil, Iraq
Abstract
This study was conducted at the Rami farm cows’ station for milk production located in Balndan north of Erbil Kurdistan Region- Iraq on one hundred Friesian cows, between January 1, 2022, and July 20, 2023. to study the effect of age, parity, sex and calving year on Daily Milk Yield (DMY), Service per conception (SPC), Dry Period (DP) and Calving Interval (CI).and to estimate the heritability value (h2) of the studied traits. The results showed that the overall means of (DMY), (SPC), (DP) and (CI) were 29.87, 1.75, 49.20 and365.00 respectively. The age of cow’s had significant effect on (DMY) and (DP). Age (years) have significant (P≤0.05) effect on daily milk yield (DMY), which cows aged 3 years produced significantly higher daily milk yield (30.04 ±0.34) in comparison to cows aged 3(29.76 ±0.23) and 4(29.88 ±0.27) years respectively. Daily milk yield increased with the advance of parity and mostly reached its maximum value in the second parity being30.10 ±0.12kg per day. The sex of Calves had non-significant affected on daily milk yield. The result of the study showed the heritability value for TMP, LP, SPC and CL were 0.23, 0.08, 0.19 and 0.08 respectively, the Best Linear Unbiased Prediction (BLUP) value for TMP, LP, SPC and CL were ranged between -2.986-3.291, -0.101-0.166.-4.218-5.021 and-0.535-0.545 respectively. From present study concluded that daily milk production increased reached highest level in the second parity, cows can produce considerable amounts of milk and have favorable reproductive traits.
Keywords
Friesian cows; Genetic non-genetic correlation; heritability and BLUP

References
Adrien-Delgado, M., Mattiauda, D. A., Artegoitia, V., Carriquiry, M., Motta, G., Bentancur, O., & Meikle, A. (2012). Nutritional regulation of body condition score at the initiation of the transition period in primiparous and multiparous dairy cows under grazing conditions: Milk production, resumption of postpartum ovarian cyclicity and metabolic parameters. Journal of Animal Science, 6(2), 292–299. https://doi.org/10.1017/S1751731111001780 Bilal, G., & Khan, M. S. (2009). Use of test-day milk yield for genetic evaluation in dairy cattle: A review. Pakistan Veterinary Journal, 29, 35–41. Boujenane, I. (2002). Estimates of genetic and phenotypic parameters for milk production in Moroccan Holstein-Friesian cows. Revue d’Élevage et de Médecine Vétérinaire des Pays Tropicaux, 55(1), 63–67. Dadpasand, M., Zamiri, M. J., & Atashi, H. (2013). Genetic correlation of average somatic cell scores at different stages of lactation with milk yield and composition in Holstein cows. Iranian Journal of Veterinary Research, 14, 190–196. Duncan, D. B. (1955). Multiple range and multiple F tests. Biometrics, 11, 1–42. https://doi.org/10.2307/3001478 El-Arian, M. N., El-Awady, H. G., & Khattab, A. S. (2003). Genetic analysis for some productive traits of Holstein Friesian cows in Egypt through MTDFREML program. Egyptian Journal of Animal Production, 40, 99–109. Falconer, D. S., & Mackay, T. F. C. (1996). Introduction to quantitative genetics (4th ed.). Longman. Hammoud, M. H. (2013). Genetic aspects of some first lactation traits of Holstein cows in Egypt. Alexandria Journal of Agricultural Research, 58, 295–300. Hill, W. G., Edwards, M. R., & Ahmed, M. K. A. (1983). Heritability of milk yield and composition at different levels and variability of production. Animal Production, 36, 59–68. https://doi.org/10.1017/S0003356100039887 Kaygisiz, A. (2013). Estimation of genetic parameters and breeding values for dairy cattle using test-day milk yield records. Journal of Animal and Plant Sciences, 23, 345–349. Khan, M. K. I., Huque, K. S., Miah, A. G., & Khatun, M. J. (2000). Study on the performances of Red Chittagong cows under different production systems. Pakistan Journal of Biological Sciences, 3, 313–319. Kozerski, N. D., Signoretti, R. D., Souza, J. C., Dally, V. S., & Freitas, J. A. (2017). Use of monensin in lactating crossbred dairy cows (Holstein × Gyr) raised on tropical pastures with concentrate supplementation. Animal Feed Science and Technology, 232, 119–128. https://doi.org/10.1016/j.anifeedsci.2017.08.003 Macmillan, K., Lopez-Helguera, I., Behrouzi, A., Gobikrushanth, B., Hoff, B., & Colazo, M. G. (2017). Accuracy of a cow-side test for the diagnosis of hyperketonemia and hypoglycemia in lactating dairy cows. Research in Veterinary Science, 115, 327–331. https://doi.org/10.1016/j.rvsc.2017.06.010 Maybrook, M. F., Darbyshire, A. M., & Petty, M. C. (2005). Quality control of dairy products using single frequency admittance measurements. Measurement Science and Technology, 17(2), 275–281. https://doi.org/10.1088/0957-0233/17/2/020 Meyer, K. (1985). Genetic parameters for dairy production of Australian Black and White cows. Livestock Production Science, 12, 205–219. https://doi.org/10.1016/0301-6226(85)90020-5 Mitra, A., & Bhattacharya, D. (2006). Dose dependent effect of fenugreek composite in diabetes with dyslipidemia. Internet Journal of Food Safety, 8, 49–55. Mostageer, A., Morsey, M. A., Ngim, A. A., Rashad, N. S., & Pirchner, F. (1990). Milk production characteristics of Baladi cattle and their F1 crossbreds with some European breeds. Journal of Animal Breeding and Genetics, 107, 301–310. https://doi.org/10.1111/j.1439-0388.1990.tb00030.x Ojango, J. M. K., & Pollott, G. E. (2001). Genetics of milk yield and fertility traits in Holstein-Friesian cattle on large-scale Kenyan farms. Journal of Animal Science, 79, 1742–1750. https://doi.org/10.2527/2001.7971742x Rensis, F. D., Lopez-Gatius, F., Garcia-Ispierto, I., Morini, G., & Scaramuzzi, R. J. (2017). Causes of declining fertility in dairy cows during the warm season. Theriogenology, 91, 145–153. https://doi.org/10.1016/j.theriogenology.2016.12.024 Safa, S., Soleimani, A., & Moussavi, A. E. (2013). Improving productive and reproductive performance of Holstein dairy cows through dry period management. Asian-Australasian Journal of Animal Sciences, 26, 630–637. https://doi.org/10.5713/ajas.2012.12529 SAS Institute Inc. (2018). SAS/STAT user’s guide (Version 9.4). SAS Institute Inc. Seyed Sharifi, R., Nasab, M. P. E., & Sobhani, A. (2008). Estimation of genetic parameters and breeding values for test-day and 305-day milk yields in some Iranian Holstein herds. Journal of Animal and Veterinary Advances, 7, 1422–1425. Siewert, J., Salfer, J., & Endres, M. (2019). Milk yield and milking station visits of primiparous versus multiparous cows on automatic milking system farms in the Upper Midwest United States. Journal of Dairy Science, 102, 3523–3530. https://doi.org/10.3168/jds.2018-15560 Usman, T., Guo, G., Suhail, S. M., Ahmed, S., Qiaoxiang, L., Qureshi, M. S., & Wang, Y. (2012). Performance traits study of Holstein Friesian cattle under subtropical conditions. Journal of Animal and Plant Sciences, 22, 92–95. Visser, A., Shannon, P., & Wickham, B. W. (1988). Factors affecting conception rate in cattle. Proceedings of the New Zealand Society of Animal Reproduction, 48, 61–63.
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