Estimation of genetic parameters in three commercial silk-worm lines of Iran
Year: 2011
Type: article
Abstract: In order to estimate genetic parameters of the cocoon weight (CW), cocoon shell weight (CSW) and cocoon shell percentage (CSP) of three industrial lines of silk-worm (number 31, 103 and 107), data were collected from three successive generations. (Co)variance components were as follows: additive genetic variation (δ 2 g) and environmental variation (δ 2 e ) of traits and additive genetic covariance (cov g1, 2 ) and environmental covariance (cov e1, 2 ). Heritability of traits was estimated with maximum likelihood procedure (REML) by using algorithms (DFREML) based on a three trait animal model. Data were from half-sibs and the heritability and genetic, phenotypic and environmental correlation were estimated between traits. The highest heritability for CW was estimated in lines 31 and 107 (0.58 and 0.58, respectively) and the lowest heritability for CW was in line number 103 (0.28). The highest and lowest heritability for CSW was in lines 107 and 103 (0.70 and 0.01, respectively). Also, the highest heritability for CWP was in line 31 (0.48) and the lowest value was in line 103 (0.077). The highest δ 2 g for CSP was estimated in line 103 (0.004) and lowest δ 2 g was estimated in line 107 (0.001). The highest and lowest δ 2 g for CW were estimated in lines 103 and 31 (0.0004 and 0.00003, respectively). The δ 2 g for CW was high inline 31 (0.604) but low in line 103 (0.257). The highest and lowest δ 2 e for CW were in lines 103 and 107 (0.02 and 0.01, respectively). Furthermore, the highest δ 2 e for CSW was estimated in line 103 (0.0013) butminimum δ 2 e was in line 107 (0.0007). Maximum cov g1, 2 for CW-CSW was estimated in line 103 (0.00087) and minimum value was estimated in line 31 (0.00012). A high cov e1,2 for CW- CSP was estimated in line 103 (0.093) but it was low in line 31 (0.00026). The highest cov g1, 2 for CSW-CSP was in line 103 (0.002) but it was low in line 31 (0.00079). Key words : Cocoon, correlation, heritability, genetic (Co) variance.
Source: AFRICAN JOURNAL OF BIOTECHNOLOGY
DOI: 10.5897/ajb11.1419
Language: English
Subfield: Insect Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: diamond
OpenAlex ID: W2148147673
