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Correlation coefficient and Path analysis studies in Okra (Abelmoschus esculentus L. Monech)

机译:黄秋葵(Abelmoschus esculentus L. Monech)的相关系数和路径分析研究

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Fifty seven lines of okra including ten different genotypes along with forty five hybrids and two standard checks were evaluated in Randomized Block Design with two replication in Kharif 2011. Correlation and Path analysis were carried out to study character association and contribution for days to 50 per cent flowering, Plant height at harvest, number of branches per plant, number of nodes per plant, days to first picking, number of fruits per plant, average length of fruit, average weight of fruit,yield per plant (g), yield per plot (kg), yield per hectare (qt) and reaction to yellow vein mosaic for identification of appropriate selection indices. Genotypic and phenotypic correlation revealed that at both level fruit yield was positively associated with number of fruits, number of nodes per plant, fruit length and fruit weight. Correlation and Path analysis revealed that characters days to first picking, plant height at harvest, number of nodes per plant and number of fruits per plant not only had positive significant association with yield per plant but also had high positive direct effects on marketable yield per plant and are regarded as the main determinants of yield per plant. If selection is based on these characters then improvement in yield will be efficient.
机译:在2011年Kharif的随机区组设计中评估了包括10个不同基因型以及45个杂种和两个标准检查在内的57个秋葵品系,并在Kharif 2011中进行了两次复制。进行了相关性和路径分析,研究了性格关联和贡献达50%的天开花,收获时的植物高度,每株植物的枝条数,每株植物的节数,首次采摘的天数,每株植物的果实数,平均果实长度,平均果实重量,每株植物的产量(g),每块地的产量(kg),每公顷产量(qt)和对黄脉镶嵌的反应,以识别合适的选择指数。基因型和表型相关性表明,在两个水平上,果实产量与果实数量,单株结节数量,果实长度和果实重量成正相关。相关性和路径分析表明,首次采摘的天数,收获时的株高,单株结节数和单株果实数不仅与单株产量成正相关,而且对单株适销产量也有高正直接影响。并被视为决定单株产量的主要因素。如果基于这些特征进行选择,那么产量的提高将是有效的。

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