家蚕(Bombyx mori L.)若干经济性状相关性及直接和间接影响的关键性分析

R. Rahman
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引用次数: 0

摘要

采用10个经济性状来检测10个家蚕品系间性状间的直接和间接关系。相关分析显示,Y/100 DFLS在表型和基因型水平上与除SR%外的其他性状均呈正相关。但Y/100 DFLS在表型和基因型水平上均与除renditta外的其他性状显著相关,表明定向选择对产量遗传改良的有效性,并提示随着这些性状的增加,Y/100 DFLS也会增加。通径分析表明,表型水平上的ERRwt、SSwt和denier以及基因型水平上除Wt10ML和SSwt外的所有性状对Y/100 DFLS均有直接的正影响,说明这些性状对产量和选择的贡献是可以利用的。通径系数分析显示,在表型和基因型水平上,对Y/100 DFLS的直接影响最大。从相关分析和通径系数分析结果可以看出,ERRwt是最重要的产量贡献性状,在表型和基因型水平上对Y/100 DFLS的直接影响均为显著正相关,其次是denier,因为denier在基因型和表型水平上均具有正直接影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Critical Analysis of Correlation and Direct and Indirect Effects of Some Economic Characters in Silkworm (Bombyx mori L.)
Ten economic traits were taken to detect the relationship as well as find out direct and indirect effects among the characters of ten silkworm (Bombyx mori L.) lines. Correlation analysis revealed that Y/100 DFLS showed a positive correlation with all the characters except SR% at both the phenotypic and genotypic levels. But Y/100 DFLS significantly correlated with all the characters except renditta at both the phenotypic and genotypic levels indicating the effectiveness for directional selection for genetic improvement of yield and suggested that with the increases of those characters Y/100 DFLS will be increased. In case of path coefficient analysis, characters ERRwt, SSwt and denier at phenotypic level and all the characters except Wt10ML and SSwt at genotypic level exhibited a direct positive effect on Y/100 DFLS which revealed their contribution to the yield and selection can be made by using these characters. It was noted that in path coefficient analysis ERRwt showed the highest direct effect on Y/100 DFLS both at phenotypic and genotypic levels. From the results of correlation and path coefficient analysis, it can be concluded that ERRwt was the most important yield contributing character as it exhibited significant positive correlation and highest direct effect on Y/100 DFLS both at phenotypic and genotypic levels followed by denier since denier showed positive direct effect both at genotypic and phenotypic levels.
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