Genetic and Non-Genetic Factors Affecting Test Day Milk Yield and Milk Composition Traits in Crossbred Dairy Cattle in Ethiopia https://doi.org/10.12982/VIS.2023.052
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Abstract
This study evaluated the effects of genotype, parity, days in milk (DIM), calving season (CS), and calving year (CY) on the milk yield and composition traits of four hundred twenty lactating crossbred dairy cows in 13 districts in Ethiopia. Test day milk yield (TMY), protein (P), fat (F), lactose (L), solid not fat (SNF), density (D), total solids (TS), total protein (TP), casein (CN), whey (W), salts (S), and freezing point (FP) were determined using standard procedures. The data were analyzed using generalized linear models (GLM) using R software. Cows in the genetic group ≥ 87.5%, at 101–200 days, calved in the rainy season, in 2022, and at second parity all had the highest value of TMY. F, SNF, and TS were significantly (P<0.05) influenced by genotype, DIM, CS, CY, and parity. F was higher in cows with ≤ 50% genetic group, in early and late lactation, in the dry season, in 2020, in primiparous and above parity three cows than their counterparts. Proteins (P, TP, CN, and W) were affected by genotype, DIM, and CY but not by CS and parity (P<0.05). All milk proteins had a higher value in cows with ≤ 50% genetic group, and in early lactation. In this study, milk yield and composition were affected by genetic and non-genetic factors, providing an opportunity for crossbreeding programs to balance the quality and quantity of milk by manipulating the level of the exotic gene found in cows, choosing the best agro-climatic conditions, and improving the level of management.
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References
Abraham, B.L., Gayathri, S., 2015. Milk composition of crossbred and desi cattle maintained in the sub-tropical high ranges of kerala. Ind. J. Vet. Anim. Sci. Res. 44(1), 53-55.
Alexander, D.H., Novembre, J., Lange, K., 2009. Fast model-based estimation of ancestry in unrelated individuals. Genome. Res. 19(9), 1655-1664.
Amalfitano, N., Stocco, G., Maurmayr, A., Pegolo, S., Cecchinato, A., Bittante, G., 2020.Quantitative and qualitative detailed milk protein profiles of 6 cattle breeds: Sources of variation and contribution of protein genetic variants. J. Dairy. Sci. 103(12),
-11208.
Amenu, B., Deeth, H., 2007. The impact of milk composition on cheddar cheese manufacture. Aust. J. Dairy. Technol. 62(3), 171-184.
Asimwe, L., Kifaro, G.C., 2007. Effect of breed, season, year and parity on reproductive performance of dairy cattle under smallholder production system in Bukoba district,Tanzania. Livest. Res. Rural. Dev. 19(10).
Assan, N., 2014. Factors affecting yield and milk composition in dairy animals. Academic Publishing, United Kingdom, pp. 129-132.
Beneberu, N., Shibabaw, W., Getahun, K., Alemayehu, K., 2020. Effect of non-genetic factors on milk production traits of pure jersey dairy cattle in Central Highland Ethiopia. Food sci. qual. manag. 103, 7-12.
Bondan, C., Folchini, J.A., Noro, M., Quadros, D.L., Machado, K.M., González, F.H.D.,2018. Milk composition of holstein cows: a retrospective study. Ciencia Rural. 48(12), 565–576.
Britt, J.H., Cushman, R.A., Dechow, C.D., Dobson, H., Humblot, P., Hutjens, M.F.,Jones, G.A., Mitloehner, F.M., Ruegg, P.L., Sheldon, I.M., Stevenson, J.S., 2021.Review: Perspective on high-performing dairy cows and herds. Animal. 15, 100298.
Cardak, A., 2016. Effects of somatic cell count, parity and lactation stage on yield andcomponents of milk in holstein-friesian cows. Harran. Üniv. Vet. Fak. Derg. 5(1),34-39.
Cheruiyot, E.K., Bett, R.C., Amimo, J.O., Mujibi, F.D.N., 2018. Milk composition for admixed dairy cattle in Tanzania. Front. Genet. 9, 142.
Chebo, C., Alemayehu, K., 2012. Trends of cattle genetic improvement programs in Ethiopia:challenges and opportunities. Livest. Res. Rural. Dev. 24(7), 1–17.
Cozma, A., Andrei, S., Miere, D., Filip, L., Loghin, F., 2011. Proteins profile in milk from three species of ruminants. Not. Sci. Biol. 3(1), 26-29.
Desyibelew, W., Wondifraw, Z., 2019. Evaluation of milk composition in zebu× hf crossbred dairy cows in different seasons and stage of lactations in amanuel town. Ethiopia J.Agr. Sci. Food. Res. 10(1), 6-9.
Duguma, B., 2022. Milk composition, traditional processing, marketing, and consumption among smallholder dairy farmers in selected towns of jimma zone, oromia regional state, Ethiopia. Food. Sci. Nutr. 10(9), 2879-2895.
Gebreyohanes, G., Yilma, Z., Moyo, S., Okeyo Mwai, A., 2021. Dairy industry development in Ethiopia: Current status, major challenges and potential interventions for improvement. ILRI, Nairobi, Kenya.
Getahun, K., Tadesse, M., Hundie, D., Tadesse, Y., 2020. Productive performance of crossbred dairy cattle. Ethiopia. J. Agric. Sci. 30(2), 55-65.
Haile, A., Joshi, B.K., Ayalew, W., Tegegne, A., Singh, A., Yilma, Z., 2008. Genetic evaluation of Ethiopian Boran cattle and their crosses with Holstein Friesian for milk constituent traits in central Ethiopia. J. Cell. Anim. Biol. 2(10), 171–176.
Jabeen, M., Anwar, M., Fatima, W., Saleem, A., Rehman, K., Masood, M., Iqbal, N., Anjum, S., Zafar, A.M., Aslam, N., 2020. Quantitative estimation of casein in different milk samples. Sci. j. anal. chem. 8(3), 107.
Jóźwik, A., Krzyzewski, J., Strzałkowska, N., Poławska, E., Bagnicka, E., Wierzbicka, A.,Niemczuk, K., Lipińska, P., Horbańczuk, J.O., 2012. Relations between the oxidative status, mastitis, milk quality and disorders of reproductive functions in dairy cows - a
review. Anim. Sci. Pap. Rep. 30(4), 297–307.
Kebede, E., 2018. Effect of cattle breed on milk composition in the same management conditions. J. Agric. Sci. 28(2), 53–63.
Krauspe, R., Scheer, A., 1986. Coomassie brilliant blue G-250 dye-binding technique for determination of autolytic protein breakdown in Euglena gracilis and comparison to other methods of autolysis measurement. Anal. Biochem. 153(2), 242–250.
Kuczyńska, B., Puppel, K., Gołębiewski, M., Wiśniewski, K., Przysucha, T., 2021. Metabolic profile according to the parity and stage of lactation of high-performance Holstein-Friesian cows. Anim Biosci. 34(4), 575–583.
Maurmayr, A., Pegolo, S., Malchiodi, F., Bittante, G., Cecchinato, A., 2018. Milk protein composition in purebred holsteins and in first/second-generation crossbred cows from swedish red, montbeliarde and brown swiss bulls. Animal. 12(10), 2214-2220.
Mekonen, T., Tolera, A., Nurfeta, A., Bradford, B., Yigrem, S., Vipham, J., 2022. Effects of pigeon pea leaves and concentrate mixture on feed intake, milk yield, and composition of crossbred dairy cows fed native pasture hay. Animal. 16(10), 100632.
MOA, 2019. Agricultural and rural transformation in Ethiopia obstacles, triggers and reform considerations policy working paper (Issue January).
Niozas, G., Tsousis, G., Malesios, C., Steinhöfel, I., Boscos, C., Bollwein, H., Kaske, M.,2019. Extended lactation in high-yielding dairy cows. II. Effects on milk production,udder health, and body measurements. J. Dairy Sci. 102(1), 811–823.
Nyamushamba, G.B., Chikwanda, D., Matondi, G.H.M., Marandure, T., Mamutse, J.,Tavirimirwa, B., Banana, N.Y.D., Dhliwayo, M., 2014. The effect of non-genetic factors on milk yield and composition of Red Dane cattle in Zimbabwe. Livest. Res. Rural. Dev. 26(5), 17.
Ojango, J.M.K., Mrode, R., Rege, J.E.O., Mujibi, D., Strucken, E.M., Gibson, J., Mwai, O.,2019. Genetic evaluation of test-day milk yields from smallholder dairy production systems in Kenya using genomic relationships. J. Dairy Sci. 102(6), 5266–5278.
Oloo, R.D., Ekine-Dzivenu, C.C., Ojango, J.M., Mrode, R.A., Chagunda, M., Okeyo Mwai, A., 2022. Effects of breed exoticness, agro-ecological zone and their interaction on production and fertility traits of multibreed dairy cattle in Kenya. Available online:
https://hdl.handle.net/10568/118429
Pragna, P., Archana, P.R., Aleena, J., Sejian, V., Krishnan, G., Bagath, M., Manimaran, A.,Beena, V., Kurien, E.K., Varma, G., Bhatta, R., 2017. Heat stress and dairy cow:impact on both milk yield and composition. Int. J. Dairy Sci. 12(1), 1–11.
Ríos-Utrera, Á., Calderón-Robles, R.C., Galavíz-Rodríguez, J.R., Vega-Murillo, V.E.,Lagunes-Lagunes, J., 2013. Effects of breed, calving season and parity on milk yield, body weight and efficiency of dairy cows under subtropical conditions. Int. J. Anim.
Vet. Adv. 5(6), 226-232.
Rosell, S., 2011. Regional perspective on rainfall change and variability in the central highlands of Ethiopia, 1978-2007. Appl. Geogr. 31(1), 329–338.
Sahu, J., Bhonsle, D., Mishra, S., Khune, V.N., Dutta, G.K., 2018. Effect of parity on milk composition traits of kosali cows. J. Pharm. Innov. 7(7), 518–520.
Sehested, J., Gaillard, C., Lehmann, J.O., Maciel, G.M., Vestergaard, M., Weisbjerg, M.R.,Mogensen, L., Larsen, L.B., Poulsen, N.A., Kristensen, T., 2019. Review: extended lactation in dairy cattle. Animal. 13(S1), A65–A74.
Sipahi, C., 2022. The Effect of Different Environmental Factors on Milk Yield Characteristics of Holstein Fresian Cattle Raised with Different Production Scale on Teke Region of Turkey. Sustainability. 14(21), 13802.
Sudhakar, K., Panneerselvam, S., Thiruvenkadan, A., Abraham, J., Vinodkumar, G., 2013.Factors effecting milk composition of crossbred dairy cattle in Southern India. Int. j.food agric. vet. sci. 3(1), 229-233.
Tadesse, M., Dessie, T., 2003. Milk production performance of Zebu, Holstein Friesian and their crosses in Ethiopia. Livest. Res. Rural. Dev. 15(3), 28–37.
Tadesse, M., Getahun, K., Hunde, D., Gelmessa, U., 2022. Analysis of the non-genetic factors influencing the performance of high-grade and inter se mated crossbred dairy cows at holetta dairy research farm, Ethiopia. J. Dairy. Foods. Home. Sci. 41(1),
-42.
Verma, M.K., Sachdeva, G.K., Yadav, A.K., Gautam, S., Ali, M.M., Bindal, S., 2016. Effect of genetic and non-genetic factors on milk yield and milk constituents on sahiwal cattle. Indian. J. Anim. Res. 50(5), 808–810.
Verma, M.K., Sachdeva, G.K., Yadav, A.K., Gautam, S., Ali, M.M., Kumar, S., 2017. Effect of genetic and non-genetic factors on milk yield and milk constituents in Murrah buffalo. Indian. J. Anim. Res. 51(2), 387–390.
Yalew, B., Lobago, F., Goshu, G., 2011. Calf survival and reproductive performance of Holstein-Friesian cows in central Ethiopia. Trop. Anim. Health Prod. 43(2),359–365.
Yang, L., Yang, Q., Yi, M., Pang, Z.H., Xiong, B.H., 2013. Effects of seasonal change and parity on raw milk composition and related indices in Chinese Holstein cows in northern China. J. Dairy Sci. 96(11), 6863–6869.
Yang, Y., Fan, W., Mao, Y., Yang, Z., Lu, G., Zhang, R., Zhang, H., Szeto, C., Wang, C.(2016). Bovine leukemia virus infection in cattle of China: Association with reduced milk production and increased somatic cell score. J. Dairy Sci. 99(5), 3688–3697.
Yasmin, I., Iqbal, R., Liaqat, A., Khan, W.A., Nadeem, M., Iqbal, A., Chughtai, M.F.J.,Rehman, S.J.U., Tehseen, S., Mehmood, T., Ahsan, S., Tanweer, S., Naz, S.,Khaliq, A., 2020. Characterization and comparative evaluation of milk protein variants from Pakistani dairy breeds. Food. Sci. Anim. Resour. 40(5), 689-698.
Yoseph, D., Didanna, H.L., Ayza, A., 2022. Household characteristics, production and quality of bovine milk from crossbred dairy stock in the rural dairy production system of Ethiopia. J. Agric. Res. 10, 100453.
Zemarku, Z., Senapathy, M., Bojago, E., 2022. Determinants of adoption of improved dairy Technologies: the case of Offa Woreda, Wolaita Zone, Southern Ethiopia. Adv.Agric. 2022, 35–49.