Direct and maternal genetic parameters for growth traits in Jersey crossbred cattle

被引:0
作者
Vangchhia, Nunhlupuii [1 ]
Gayari, Indrajit [1 ]
Rahman, Mokidur [1 ]
Lalhmingmawii, Sylvia [1 ]
Bhakat, Champak [1 ]
Baneh, Hasan [2 ]
Mandal, Ajoy [1 ]
机构
[1] ICAR Natl Dairy Res Inst, Eastern Reg Stn, Kalyani, West Bengal, India
[2] Skolkovo Inst Sci & Technol, Project Ctr Agro Technol, Moscow, Russia
关键词
animal model; cattle; genetic parameters; growth traits; maternal effects; WEANING WEIGHT; BIRTH-WEIGHT; BORAN CATTLE; GESTATION LENGTH; CARCASS TRAITS; PERFORMANCE; COMPONENTS; CALVES;
D O I
10.1017/S0021859624000285
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Growth data on Jersey crossbred calves, maintained at ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, Nadia, West Bengal, India, were collected and analysed to assess the influence of maternal effects on growth traits of calves. Traits considered for this study were birth weight (BW) and weights at 3 months (W3M), 6 months (W6M), 9 months (W9M) and 12 months (W12M) of age. Least-squares analyses were employed to obtain the effects of non-genetic factors on the traits of interest. Determination of influence of maternal effects on growth traits was estimated by fitting three univariate animal models (including or excluding maternal effects) using Bayesian approach. The most appropriate model for each trait was selected based on Deviance Information Criterion. Direct heritability (h2) estimates for BW, W3M, W6M, W9M and W12M were 0.31 +/- 0.08, 0.26 +/- 0.10, 0.48 +/- 0.10, 0.44 +/- 0.11 and 0.39 +/- 0.14, respectively, under the best model. Permanent environmental maternal effects (c2) varied from 0.04 to 0.12 for all traits. Existence of maternal effects for all ages reflects the importance of maternal components for these traits. Moderate to high heritability estimates for growth traits indicate the possibility of modest genetic progress for these traits through selection under prevalent management system.
引用
收藏
页数:8
相关论文
共 49 条
  • [1] Addisu Bitew Addisu Bitew, 2010, Livestock Research for Rural Development, V22, P136
  • [2] Afroz M. A., 2011, Bangladesh Veterinarian, V28, P39, DOI 10.3329/bvet.v28i1.8812
  • [3] Almasri OAK., 2020, Egypt J Anim Prod, V57, P127, DOI [10.21608/EJAP.2020.121423, DOI 10.21608/EJAP.2020.121423]
  • [4] Aziz MA, 2005, J ANIM SCI, V83, P519
  • [5] Genome-wide association study and predictive ability for growth traits in Nellore cattle
    Carvalho, F. E.
    Espigolan, R.
    Berton, M. P.
    Neto, J. B. S.
    Silva, R. P.
    Grigoletto, L.
    Silva, R. M. O.
    Ferraz, J. B. S.
    Eler, J. P.
    Aguilar, I
    Lobo, R. B.
    Baldi, F.
    [J]. LIVESTOCK SCIENCE, 2020, 231
  • [6] Chen J, 2012, J ANIM VET ADV, V11, P1570
  • [7] Estimates of parameters for genetic relationship between reproductive performances and body condition score of Hanwoo cows
    Choi, SB
    Lee, JW
    Choy, YH
    Na, KJ
    Kim, NS
    [J]. ASIAN-AUSTRALASIAN JOURNAL OF ANIMAL SCIENCES, 2005, 18 (07): : 909 - 914
  • [8] Genetic analysis for gestation length, birth weight, weaning weight, and accumulated productivity in Nellore beef cattle
    Chud, Tatiane C. S.
    Caetano, Sabrina L.
    Buzanskas, Marcos E.
    Grossi, Daniela A.
    Guidolin, Diego G. F.
    Nascimento, Guilherme B.
    Rosa, Jaqueline O.
    Lobo, Raysildo B.
    Munari, Danisio P.
    [J]. LIVESTOCK SCIENCE, 2014, 170 : 16 - 21
  • [9] The milk yield of dams and its relation to direct and maternal genetic components of weaning weight in beef cattle
    Cortes-Lacruz, X.
    Casasus, I.
    Revilla, R.
    Sanz, A.
    Blanco, M.
    Villalba, D.
    [J]. LIVESTOCK SCIENCE, 2017, 202 : 143 - 149
  • [10] Dezfuli BT, 2009, J ANIM VET ADV, V8, P276