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首页> 外文期刊>International Journal of Applied Biology and Pharmaceutical Technology >CORRELATION AND PATH COEFFICIENT ANALYSIS FOR YIELD AND YIELD COMPONENTS IN SEGREGATING (F4) GENERATION OF LABLAB BEAN ( LABABPERPUREUS L. SWEET)
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CORRELATION AND PATH COEFFICIENT ANALYSIS FOR YIELD AND YIELD COMPONENTS IN SEGREGATING (F4) GENERATION OF LABLAB BEAN ( LABABPERPUREUS L. SWEET)

机译:LABLAB BEANPEAN(LABABPERPUREUS L.SWEET)分离(F4)生成中产量和产量成分的相关性和路径系数分析

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摘要

The genotypic correlation coefficients were slightly higher than phenotypic coefficients. Seed yield per plant was highly significant and positively correlated with number of pods per plant, primary branches per plant, hundred seed weight, days to maturity and number of peduncles per plant at both genotypic and phenotypic level, whereas it was significantly and positively correlated with days to first flowering at genotypic level only. Path analysis revealed that, number of pods per plant, hundred seed weight and number of primary branches recorded the highest direct effects in desirable direction. Their association with seed yield was also significant and positive indicating true and perfect association between these traits. Therefore direct selection for these characters would help in isolating high yielding genotypes.
机译:基因型相关系数略高于表型系数。在基因型和表型水平上,每株植物的种子产量都非常重要,并且与每株豆荚的数量,每株植物的初级分支,百粒重,成熟天数和每株花序梗的数量呈正相关,而与仅在基因型水平上首次开花的天数。通径分析表明,每株豆荚的数量,百粒种子的重量和初级分支的数量在期望的方向上表现出最高的直接效应。它们与种子产量的关联也很显着且为正,表明这些性状之间真实而完美的关联。因此,直接选择这些字符将有助于分离高产基因型。

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