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Genetic analysis of persistency indices of milk yield in Jersey crossbred cattle

Published online by Cambridge University Press:  07 September 2020

Subrata Koloi  and
Ajoy Mandal
Subrata Koloi
Affiliation:
ICAR-National Dairy Research Institute, Karnal132001, Haryana, India
Ajoy Mandal*
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani741235, West Bengal, India
*
Author for correspondence: Ajoy Mandal, Email: [email protected]
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Abstract

The study reported in this Research Communication was conducted to estimate genetic parameters for different lactation persistency indices and their association with reproductive traits in Jersey crossbred cattle. Data on lactation traits (part lactation yields and 305-days milk yield) comprising all lactations as well as reproductive traits viz. calving interval, conception rate and gestation length of 378 Jersey crossbred cattle, maintained at National Dairy Research Institute, Kalyani, West Bengal, India, were collected over a period of 35 years (1982–2016). Five lactation persistency indices of animals (P21, P31, P32, P4 and P5) were calculated using ratio method. A total of six different animal models, ignoring or including maternal genetic or permanent environmental effects, were fitted for all persistency traits. The best model was chosen after testing the improvement of the log-likelihood values. The estimates of direct heritability were low in magnitude and ranged from 0.02 to 0.14 for the studied traits under the best fitted animal model. The permanent maternal environmental (c2) effects of different lactation persistency indices accounted for 2–9% of the total phenotypic variance in this study. Estimated genetic correlations of lactation persistency indices with all studied reproductive traits were low to moderate and negative (−0.11 to −0.68), except for calving interval. Phenotypic correlations of lactation persistency measures with studied reproductive traits were low (0.01 to 0.15). The low heritability estimates of all the persistency indices indicate some limited scope of genetic improvement of lactation persistency of animals through selection under the prevailing management conditions.

Keywords

Crossbred cattlegenetic parameterslactation persistencyreproductive traits
Type
Research Article
Information
Journal of Dairy Research , Volume 87 , Issue 3 , August 2020 , pp. 330 - 333
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation.

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References

Albarrán-Portillo, B and Pollot, GE (2013) The relationship between fertility and lactation characteristics in Holstein cows on United Kingdom commercial dairy farms. Journal of Dairy Science 96, 635–646.CrossRefGoogle ScholarPubMed
Danell, B (1982) Persistency of milk yield and its correlation with lactation yield. Acta Agriculturae Scandinavica 32, 93–101.CrossRefGoogle Scholar
Dekkers, JCM, Ten Hag, JH and Weersink, A (1998) Economic aspects of persistency of lactation in dairy cattle. Livestock Production Science 53, 237–252.CrossRefGoogle Scholar
Dhaka, CS (2013) Performance of Rathi cattle under organized farm management conditions (Ph.D. Thesis). Rajasthan University of Veterinary and Animal Sciences, Bikaner, India.Google Scholar
Eman, A, Elfadl, ABO and Radwan, HA (2016) Model comparisons and genetic parameters estimates of productive traits in Holstein cows. Journal of Applied Sciences 16, 380–387.Google Scholar
Grayaa, M, Vanderick, S, Rekik, B, Gara, AB, Hanzen, C, Grayaa, S, Mota, RR, Hammami, H and Gengler, N (2019) Linking first lactation survival to milk yield and components and lactation persistency in Tunisian Holstein cows. Archives Animal Breeding 62, 153–160.CrossRefGoogle ScholarPubMed
Gudex, BW, Johnson, DL, Gondro, C and Singh, K (2014) Prenatal maternal genetic, permanent environmental and paternal epigenetic effects in New Zealand dairy cattle. Proceedings of the 10th World Congress on Genetics Applied to Livestock Production, August 17–22, 2014, British Columbia, Canada.Google Scholar
Harvey, WR (1990) User's Guide for LSMLMW PC-2 Version, mixed model least squares and maximum likelihood computer programme, Mimeograph. Ohio State University Press; Columbus, OH, USA.Google Scholar
Huizinga, HA, Korver, S, McDaniel, BT and Politiek, RD (1986) Maternal effects due to cytoplasmic inheritance in dairy cattle. Influence on milk production and reproduction traits. Journal of Livestock Production Science 15, 11–26.CrossRefGoogle Scholar
Jamrozik, J, Jensen, G, Schaeffer, LR and Liu, Z (1998) Analysis of persistency of lactation calculated from a random regression test day model. Interbull Bulletin 16, 64–68.Google Scholar
Johansson, I and Hansson, A (1940) Causes of variation in milk and butterfat yield of dairy cows. Kungliga Lantbruksakademiens Tidskrift 79, 1–127.Google Scholar
Koloi, S, Pathak, K, Behra, R, Mandal, DK, Karunakaran, M, Dutta, TK and Mandal, A (2018) Factors affecting the persistency of milk production in Jersey crossbred cattle. Journal of Dairy Veterinary and Animal Research 7, 268–271.Google Scholar
Mahadevan, P (1951) The effect of environment and heredity on lactation. II. Persistency of lactation. Journal of Agricultural Science 41, 89–93.CrossRefGoogle Scholar
Mandal, A, Roy, PK, Ghosh, MK, Chatterjee, A and Das, SK (2013) Genetic and environmental effects on first lactation traits of Jersey crossbred cattle in an organised herd of Eastern India. Indian Journal of Dairy Science 66, 130–133.Google Scholar
Meyer, K (1992) Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livestock Production Science 31, 179–204.CrossRefGoogle Scholar
Meyer, K (2000) DFREML programs to estimate variance components by restricted maximum likelihood using derivative free algorithm-user notes.Google Scholar
Muir, BL, Fatehi, J and Schaeffer, LR (2004) Genetic relationships between persistency and reproductive performance in first-lactation Canadian Holsteins. Journal of Dairy Science 87, 3029–3037.CrossRefGoogle ScholarPubMed
Schutz, MM, Freeman, AE, Beitz, DC and Mayfield, JE (1992) The importance of maternal lineage on milk yield traits of dairy cattle. Journal of Dairy Science 75, 1331–1341.Google ScholarPubMed
Sölkner, J and Fuchs, W (1987) A comparison of different measures of persistency with special respect to variation of test day yields. Livestock Production Science 16, 305–319.CrossRefGoogle Scholar
Weller J, I, Ezra, E and Leitner, G (2006) Genetic analysis of persistency in the Israeli Holstein population by the multitrait animal model. Journal of Dairy Science 89, 2738–2746.10.3168/jds.S0022-0302(06)72350-5CrossRefGoogle ScholarPubMed
Yamazaki, T, Hagiya, K, Takeda, H, Yamaguchi, S, Osawa, T and Nagamine, Y (2014) Genetic analysis of reproductive traits, milk yield, and persistency during the first 3 lactations of Holstein cows. 10th World Congress of Genetics Applied to Livestock Production.Google Scholar
Zurwan, A, Moaeen-ud-Din, M, Bilal, G, Zia-ur-Rehman, and Khan, MS (2017) Estimation of genetic parameters for persistency of lactation in Sahiwal dairy cattle. Pakistan Journal of Zoology 49, 877–882.CrossRefGoogle Scholar
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