Study on correlation and path coefficient analysis for yield and some quality traits in Indian mustard (Brassica juncea L.)

Ekta Saini, Mahak Singh, Pramod Kumar Prajapati, Devesh Yadav, Rakesh Kumar, Kundan Muwel
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Abstract

The present investigation was carried out at Oilseed Research Farm, Kanpur during Rabi 2020-22 with 28 treatments [7 parents (PR-20, PR-21, Azad Mahak, KMR17-5, KMR17-4, NDR-8501 and KMR(L)17-6] and their possible combination excluding reciprocals)] following diallel cross analysis excluding reciprocals in 3 replications laid out in randomized block design. Genotypic correlation coefficient was higher in magnitude than their corresponding phenotypic correlation coefficient for all the characters. Significant positive correlations were found in seed yield per plant with number siliquae per plant, number of secondary branches per plant, number of primary branches per plant and main raceme length (cm),1000 seed weight (g), oil content (%), protein content (%), methionine content (%) and tryptophan content (%). Phenotypic path analysis values revealed that positive and direct effect on seed yield per plant was exerted by number of siliquae per plant followed by number of secondary branches per plant, protein content, number of primary branches, 1000 seed weight days to maturity and methionine content. Whereas, tryptophan content, days to 50% flowering, main raceme length, plant height and oil content showed negative direct effects. Thus, in this experimental material, these traits are recognized as the effective and probable choices for indirect selection towards increasing productivity. The challenge of the study is to find out the character associations to the yield and to estimate the direct and indirect effects of each character on yield. Ultimate aim is to enhance the yield and also enhance the quality of grain.
印度芥菜(Brassica juncea L.)产量及部分品质性状的相关及通径分析
本研究于Rabi 2020-22期间在坎普尔油籽研究农场进行,采用28个处理[7个亲本(PR-20、PR-21、Azad Mahak、KMR17-5、KMR17-4、NDR-8501和KMR(L)17-6]及其可能的组合],采用随机区组设计,采用双列杂交分析,排除重复。所有性状的基因型相关系数均大于相应的表型相关系数。单株种子产量与单株硅酸枝数、单株次枝数、单株一次枝数、总状花序长度(cm)、千粒重(g)、含油量(%)、蛋白质含量(%)、蛋氨酸含量(%)、色氨酸含量(%)呈极显著正相关。表型通径分析结果表明,单株硅酸枝数对单株种子产量有直接正向影响,其次是单株次枝数、蛋白质含量、一次枝数、千粒重成熟天数和蛋氨酸含量。色氨酸含量、开花至50%的天数、总状花序长度、株高和含油量均直接负相关。因此,在本实验材料中,这些性状被认为是提高生产率的间接选择的有效和可能的选择。本研究的难点在于找出性状与产量的关系,并估计各性状对产量的直接和间接影响。最终目的是提高产量,同时提高粮食的质量。
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