ESTIMATION OF HERITABILITY, GENETIC CORRELATION OF BODY WEIGHT, AND MODELING OF GROWTH CURVE IN TWO CHICKEN STRAINS

W. Habashy, Ibrahim Elkhaiat, G. Abd El-latif
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Abstract

: The purpose of this study was to use nonlinear models (NLN)to characterize the growth pattern and estimate the heritability (h 2 ), the genetic (r g ), and phenotypic(r p ) correlation of the body weight (BW) in two distinct genotypes of chicken raising under Egyptian conditions. A data set of 500 chickens with pedigree information was gathered for this study. For this purpose, the BW was measured at hatching (BW0),4 weeks (BW4), 8 weeks (BW8), and 12 weeks (BW 12) of age. Three NLN models (Logistic, Gompertz, and Von Bertalanffy) were used. Using Wombat software, a multi-trait animal model with a restricted maximum likelihood procedure was used to estimate h 2 , r g, and r p for BW.The results showed that Golden Sabahi (GS) had a significantly higher weight than White Leghorn (WL). The growth curve parameters A (mature body weight), B (biological constant), and K (growth rate) were 3989.9, 0.7853, and 0.0624 for WL and 4332.6,0.7897, and 0.0642 for GS in the von Bertalanffy model, 2152.8, 3.8096, and 0.1322 for WL chickens and 2368, 3.8594, and 0.1350 for GS chickens in the Gompertz model, 1304.5, 19.0421, and 0.3382 for WL chickens and 1455.6, 19.6116, and 0.3411 for GS chickens in the logistic model. Three models represented the growth of the two breeds using goodness-of-fit metrics (R2, MSE, and AIC). Heritability estimates of BW at 0, 4, and 8 were higher in GS than WL, while the estimate of BW at 12 weeks of age was almost similar in the both strains GS and WL (0.1). Between BW0 and BW12, there were strong positive genetic and phenotypic correlations compared by the rest of growth traits . Based on the findings of this investigation, we recommend that the two strains can be utilized for selective breeding between the ages of 4 and 8 weeks to increase the overall genetic improvement of growth traits.
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两个鸡品系体重遗传力、遗传相关性及生长曲线建模
本研究的目的是利用非线性模型(NLN)来表征埃及条件下饲养的两种不同基因型鸡的生长模式,并估计体重(BW)的遗传力(h 2)、遗传(r g)和表型(r p)相关性。本研究收集了500只鸡的系谱信息。为此,分别在孵化(BW0)、4周(BW4)、8周(BW8)和12周(bw12)时测定体重。使用了三种NLN模型(Logistic, Gompertz和Von Bertalanffy)。利用袋熊软件,采用有限最大似然法建立多性状动物模型,估计体重的h 2、r g和r p。结果表明,金沙巴鱼(GS)的体重显著高于白来港鱼(WL)。von Bertalanffy模型中WL鸡的生长曲线参数A(成熟体重)、B(生物常数)和K(生长率)分别为3989.9、0.7853和0.0624,GS为4332.6、0.7897和0.0642,Gompertz模型中WL鸡为2152.8、3.8096和0.1322,GS鸡为2368、3.8594和0.1350,logistic模型中WL鸡为1304.5、19.0421和0.3382,GS鸡为1455.6、19.6116和0.3411。三个模型使用拟合优度指标(R2, MSE和AIC)代表两个品种的生长。GS菌株0、4和8周龄体重的遗传力估计高于WL菌株,而GS菌株和WL菌株12周龄体重的遗传力估计几乎相同(0.1)。BW0和BW12与其他生长性状之间存在较强的正遗传和表型相关。根据本研究结果,我们建议在4 ~ 8周龄期间利用这两个品系进行选择性育种,以提高生长性状的整体遗传改良。
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