干旱区生态环境知识资源中心(Arid): Multi trait genetic evaluation of growth traits in Nellore sheep raised on pasture in semi-arid regions of India using Bayesian approach

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DOI	10.1016/j.smallrumres.2020.106224
	Multi trait genetic evaluation of growth traits in Nellore sheep raised on pasture in semi-arid regions of India using Bayesian approach
	Illa, Satish Kumar; Gollamoori, Gangaraju; Lopes, Fernando Brito; Nath, Sapna; Thiruvenkadan, A. K.
通讯作者	Illa, SK
来源期刊	SMALL RUMINANT RESEARCH
ISSN	0921-4488
EISSN	1879-0941
出版年	2020
卷号	192
英文摘要	The main aim of this study is to estimate genetic parameters and (co) variance components for body weights at various ages in Nellore sheep born during the period from 1993 to 2016 (23 years). A total of 4822 lambs with pedigree descended from 144 sires and 1299 dams were included in this study. Bayesian analysis using Gibbs sampler multi trait animal model with and without maternal effects was studied. Traits included in this study were birth weight (BW), weaning weight (WW), six months body weight (6MW), nine months body weight (9 MW), Yearling weight (YW). Year-season of birth and sex of lamb (contemporary groups) were considered as fixed effects with ewe weight at lambing as a covariate. Estimates of direct heritability estimates for birth weight, WW, 6MW, 9MW and YW based on best model were 0.17, 0.28, 0.27, 26 and 0.23, respectively and the corresponding maternal heritability estimates were 0.12, 0.14, 0.14, 0.12 and 0.13, respectively. The directmaternal genetic covariance was negative for all the studied traits. Strong and positive estimates of direct additive genetic correlations were observed in growth traits and they ranged from 0.16 to 0.83, whereas the directmaternal genetic correlations were negative for all the traits and these estimates ranged from -0.89 to -0.08. Moderate estimates of heritability for the growth traits obtained in this study suggested the presence of better genetic variability and the possibility for genetic improvement of Nellore sheep through selection. Maternal genetic effects were significant in all the traits. Hence, it is recommended to incorporate these effects in the genetic analysis by including it as a genetic or environmental effect or both. The environmental variance obtained in the study suggested that the growth performance of Nellore sheep may be enhanced by improving the feeding and management aspects. Correlations among traits and effects should be considered while implementing breed improvement program.
英文关键词	Direct heritability Gibbs sampling Growth traits Maternal effects Multi-trait animal model Nellore sheep
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000583630000023
WOS关键词	MATERNAL (CO)VARIANCE COMPONENTS ; BODY-WEIGHTS ; WOOL CHARACTERISTICS ; DIFFERENT AGES ; PARAMETERS ; REPRODUCTION ; BIRTH ; MODELS
WOS类目	Agriculture, Dairy & Animal Science
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327193
作者单位	[Illa, Satish Kumar] Sri Venkateswara Vet Univ, Livestock Res Stn, Palamaner, Andhra Pradesh, India; [Gollamoori, Gangaraju] Sri Venkateswara Vet Univ, Livestock Res Stn, Network Project Sheep Improvement, Palamaner, Andhra Pradesh, India; [Lopes, Fernando Brito] Brazilian Agr Res Corp EMBRAPA, Brasilia, DF, Brazil; [Nath, Sapna] ICAR Natl Dairy Res Inst, Div Anim Genet & Breeding, Southern Res Stn, Bengaluru, India; [Thiruvenkadan, A. K.] Vet Coll & Res Inst, Dept Anim Genet & Breeding, Namakkal, India
推荐引用方式 GB/T 7714	Illa, Satish Kumar,Gollamoori, Gangaraju,Lopes, Fernando Brito,et al. Multi trait genetic evaluation of growth traits in Nellore sheep raised on pasture in semi-arid regions of India using Bayesian approach[J],2020,192.
APA	Illa, Satish Kumar,Gollamoori, Gangaraju,Lopes, Fernando Brito,Nath, Sapna,&Thiruvenkadan, A. K..(2020).Multi trait genetic evaluation of growth traits in Nellore sheep raised on pasture in semi-arid regions of India using Bayesian approach.SMALL RUMINANT RESEARCH,192.
MLA	Illa, Satish Kumar,et al."Multi trait genetic evaluation of growth traits in Nellore sheep raised on pasture in semi-arid regions of India using Bayesian approach".SMALL RUMINANT RESEARCH 192(2020).