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首页> 外文期刊>International Journal of Plant Breeding and Genetics >Assessment of Genetic Variability, Genetic Advance, Correlation and Path Analysis for Morphological Traits in Sesame Genotypes
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Assessment of Genetic Variability, Genetic Advance, Correlation and Path Analysis for Morphological Traits in Sesame Genotypes

机译：芝麻基因型形态性状的遗传变异，遗传进展，相关性和通径分析的评估

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摘要

Grain yield and oil content of sesame are usually low, depending on genetic variability and association of relevant characters with grain yield and oil content. Hence, the objectives of this research were estimating the genetic variability and association among characters. Eighty one sesame genotypes were tested in 9x9 simple lattice design at Kebabo Tsegede wereda Western Tigray, Ethiopia in 2010/11 cropping season. Analysis of variance revealed that there was highly significant (p<0.01) differenceamong the 81 genotypes for all the 15 characters studied. High genotypic and Phenotypic Coefficient of Variation (PCV) was recorded for harvest index, seed yield/ha, height to first capsule, biomass/ha, number of capsules/ha, number of primary branches/ha, number of seeds per capsule and plant height. Height to first capsule had the highest heritability value. High heritability coupled with high expected genetic advance as percent of mean was observed for number of primary branches per plant, height tofirst capsule and harvest index. This indicates that these characters can be improved through selection. Harvest index showed positive significant phenotypic and genotypic correlation with grain yield. Genotypically, path coefficient analysis based on grain yield as a dependent variable revealed that capsule filling period by days to 50% flowering and biological yield exerted positive direct effect on seed yield. Therefore, a greater emphasis should be laid on these characters in perspective of breedingprograms.
机译：芝麻的籽粒产量和含油量通常较低，这取决于遗传变异性以及相关性状与籽粒产量和含油量的关联。因此，本研究的目的是估计字符之间的遗传变异性和关联性。在2010/11种植季节，在埃塞俄比亚西部提格里州Kebabo Tsegede Areda的9x9简单格子设计中测试了八十一种芝麻基因型。方差分析表明，在所研究的全部15个字符中，81个基因型之间存在极显着的差异（p <0.01）。记录了高基因型和表型变异系数（PCV）的收获指数，种子产量/公顷，至第一个荚膜的高度，生物量/公顷，荚膜数/公顷，初级分支数/公顷，每个荚膜和植物的种子数高度。第一囊的高度具有最高的遗传力值。观察到高遗传力和高预期遗传进展（平均植物百分比），单株初生枝数，至第一荚膜的高度和收获指数。这表明可以通过选择来改善这些字符。收获指数表现出与籽粒产量的正显着的表型和基因型相关性。从基因型上讲，基于籽粒产量作为因变量的路径系数分析表明，包囊充实期可连续几天达到开花的50％，而生物学产量对种子产量产生正的直接影响。因此，应从育种程序的角度更加重视这些特征。

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