Growth and reproductive traits are well-known characteristics of living organisms because of their direct relationship with economic benefits. Genetic description of the growth curve and the correlation of its parameters with growth and reproductive traits can be useful in determining selection strategies. For this purpose, 2035 quail data, which were collected during the years 1398-1396 in the Agricultural Research and Training Center and Natural Resources of Khorasan Razavi, were used. To identify the fixed factors affecting the traits, the linear model of GLM procedure of SAS software was used and to estimate the parameters of the growth curve, the nonlinear regression model of Gampertz was used. Genetic components variance (co) of growth curve and reproduction traits was estimated using maximum likelihood multi-trait analysis by DMU software. Heritability of body weight at 35 days (BW35), asymptotic weight (a), maturity rate (k), age at inflection point (IPT), absolute growth rate (AGR), relative growth rate (RGR), number of eggs (EN) and fertility percentage (FR) were estimated respectively 0.222, 0.238, 0.416, 0.283, 168 to be 0.22, 0.222, 0.283 and 0.071. Growth curve parameters with AGR and RGR and BW35 days had high genetic correlations (0.434 - 0.924). The strongest correlation was obtained between IPT and RGR (0.924). Except for genetic correlations between EN and FR percentage with other traits, most of the genetic correlations were positive. Based on this results, management of environmental factors are effective in increasing growth and reproductive performance, and genetic selection for growth trait using growth curve parameters can improve the genetic potential of the animals.
Type of Study:
Research |
Subject:
ژنتیک و اصلاح نژاد دام Received: 2021/05/31 | Revised: 2021/12/1 | Accepted: 2021/08/10 | Published: 2021/10/2