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Genetic parameters for body weight and different definitions of residual feed intake in broiler chickens.
Genetics Selection Evolution ( IF 4.1 ) Pub Date : 2019-09-23 , DOI: 10.1186/s12711-019-0494-2
Wossenie Mebratie 1, 2, 3 , Per Madsen 1 , Rachel Hawken 4 , Hélène Romé 1 , Danye Marois 4 , John Henshall 4 , Henk Bovenhuis 2 , Just Jensen 1
Affiliation  

BACKGROUND The objectives of this study were to (1) simultaneously estimate genetic parameters for BW, feed intake (FI), and body weight gain (Gain) during a FI test in broiler chickens using multi-trait Bayesian analysis; (2) derive phenotypic and genetic residual feed intake (RFI) and estimate genetic parameters of the resulting traits; and (3) compute a Bayesian measure of direct and correlated superiority of a group selected on phenotypic or genetic residual feed intake. A total of 56,649 male and female broiler chickens were measured at one of two ages ([Formula: see text] or [Formula: see text] days). BW, FI, and Gain of males and females at the two ages were considered as separate traits, resulting in a 12-trait model. Phenotypic RFI ([Formula: see text]) and genetic RFI ([Formula: see text]) were estimated from a conditional distribution of FI given BW and Gain using partial phenotypic and partial genetic regression coefficients, respectively. RESULTS Posterior means of heritability for BW, FI and Gain were moderately high and estimates were significantly different between males and females at the same age for all traits. In addition, the genetic correlations between male and female traits at the same age were significantly different from 1, which suggests a sex-by-genotype interaction. Genetic correlations between [Formula: see text] and [Formula: see text] were significantly different from 1 at an older age but not at a younger age. CONCLUSIONS The results of the multivariate Bayesian analyses in this study showed that genetic evaluation for production and feed efficiency traits should take sex and age differences into account to increase accuracy of selection and genetic gain. Moreover, for communicating with stakeholders, it is easier to explain results from selection on [Formula: see text] than selection on [Formula: see text], since [Formula: see text] is genetically independent of production traits and it explains the efficiency of birds in nutrient utilization independently of energy requirements for production and maintenance.

中文翻译:

体重的遗传参数和肉鸡剩余饲料摄入量的不同定义。

背景技术这项研究的目的是(1)使用多特征贝叶斯分析同时估算肉鸡FI试验期间的体重,饲料摄入量(FI)和体重增加(增重)的遗传参数;(2)推导表型和遗传残留饲料摄入量(RFI)并估算由此产生的性状的遗传参数;(3)计算在表型或遗传残余饲料摄入量上选择的一组的直接和相关优势的贝叶斯度量。在两个年龄之一([公式:参见文字]或[公式:参见文字]天)中,对总共56,649头雄性和雌性肉鸡进行了测量。两个年龄段的男性和女性的体重,FI和增高被认为是独立的性状,从而形成了12个性状的模型。表型RFI([公式:参见文字])和遗传RFI([公式:见正文])是根据给定体重和增益的FI的条件分布分别使用部分表型和部分遗传回归系数估算的。结果BW,FI和Gain的遗传力的后验均值适中,并且在所有年龄的男性和女性在所有性状方面的估计值均存在显着差异。此外,同一年龄段男性和女性性状之间的遗传相关性与1显着不同,这表明性别与基因型之间存在相互作用。[公式:参见文本]和[公式:参见文本]之间的遗传相关性在年龄较大时与1显着不同,但在年龄较小时则没有。结论本研究的多元贝叶斯分析结果表明,对生产和饲料效率性状进行遗传评估应考虑性别和年龄差异,以提高选择和遗传增益的准确性。此外,与利益相关者进行沟通时,解释[公式:参见文本]的结果要比[公式]参见文本的选择要容易,因为[公式:参见文本]在基因上与生产特性无关,并且可以解释效率禽的养分利用率与生产和维护所需的能量无关。
更新日期:2020-04-22
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