Estimation of genetic parameters for maintenance energy requirements and residual feed intake in Nellore cattle

IF 1.9 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Animal Breeding and Genetics Pub Date : 2024-05-07 DOI:10.1111/jbg.12870
Roberto D. Sainz, Fernando Baldi, Larissa Bordin Temp, Luciano B. Ribeiro
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Abstract

We estimated heritabilities and genetic and phenotypic correlation estimates for maintenance energy requirements (NEmR), residual feed intake (RFI), growth, carcass and reproductive indicator traits, using data from 41 feed efficiency trials in Brazil, comprising 4381 males and females. Continuous traits were analysed using a linear animal model and threshold traits were analysed using a threshold animal model. The heritability estimates were low for RFI (0.190) and NEmR (0.193); other heritabilities were mainly moderate (growth and carcass traits) or high (sexual precocity traits). The genetic correlation of RFI with NEmR was high (0.701). The genetic correlations of NEmR were low with carcass and reproductive traits, and moderate with growth traits. Thus, selection to improve weaning weight and female sexual precocity indicator traits would not affect maintenance energy requirement. Genetic selection to reduce maintenance energy requirements is feasible and would also reduce DMI and RFI. Selection to improve RFI can be used to identify animals with lower maintenance energy requirements. Long-term selection to reduce RFI and NEmR would have favourable effects on yearling weight, carcass muscle indicator traits and female sexual precocity. Genetic (co)variance component estimates for NEmR, in conjunction with economic values of selection criteria, may be used to develop novel approaches for genetic selection to improve efficiency of beef production.

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内洛尔牛维持能量需求和剩余饲料摄入量遗传参数的估算
我们利用来自巴西 41 项饲料效率试验的数据,对维持能量需要量(NEmR)、剩余采食量(RFI)、生长、胴体和繁殖指标性状的遗传率以及遗传和表型相关性进行了估算。连续性性状采用线性动物模型进行分析,阈值性状采用阈值动物模型进行分析。RFI(0.190)和NEmR(0.193)的遗传率估计值较低;其他遗传率主要为中等(生长和胴体性状)或较高(性早熟性状)。RFI 与 NEmR 的遗传相关性很高(0.701)。NEmR与胴体和繁殖性状的遗传相关性较低,与生长性状的遗传相关性中等。因此,提高断奶重和雌性性早熟指标性状的选择不会影响维持能量需求。降低维持能量需求的遗传选择是可行的,而且也会降低DMI和RFI。提高 RFI 的选择可用于识别维持能量需求较低的动物。降低RFI和NEmR的长期选择将对一岁体重、胴体肌肉指标性状和雌性性早熟产生有利影响。NEmR的遗传(共)变异成分估计值与选择标准的经济价值相结合,可用于开发新的遗传选择方法,以提高牛肉生产效率。
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来源期刊
Journal of Animal Breeding and Genetics
Journal of Animal Breeding and Genetics 农林科学-奶制品与动物科学
CiteScore
5.20
自引率
3.80%
发文量
58
审稿时长
12-24 weeks
期刊介绍: The Journal of Animal Breeding and Genetics publishes original articles by international scientists on genomic selection, and any other topic related to breeding programmes, selection, quantitative genetic, genomics, diversity and evolution of domestic animals. Researchers, teachers, and the animal breeding industry will find the reports of interest. Book reviews appear in many issues.
期刊最新文献
Issue Information Influence of variance component estimates on genomic predictions for growth and reproductive-related traits in Nellore cattle. Genomic selection strategies for the German Merino sheep breeding programme - A simulation study. Correction to: Rahbar et al., 2023. Defining desired genetic gains for Pacific white shrimp (Litopeneaus vannamei) breeding objectives using participatory approaches. Journal of Animal Breeding and Genetics. 2024;141:390-402. Combining genomics and semen microbiome increases the accuracy of predicting bull prolificacy.
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