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首页> 外文期刊>Research on Crops >Genetic variability, trait association and path analysis of yield and yield components in greengram [Vigna radiata (L.) Wilczek]
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Genetic variability, trait association and path analysis of yield and yield components in greengram [Vigna radiata (L.) Wilczek]

机译:GENERGAGRAPERING [Vigna Radiata(L.)Wilczek的产量和产量组分的遗传变异,性状和产量分析

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摘要

An experiment was conducted to study the extent of variability, interrelationship and direct and indirect effects of component characters on seed yield in greengram during the kharif 2016 for 12 quantitative characters. Analysis of variance revealed significant differences for all the characters studied, indicating sufficient variation among genotypes. The magnitude of genotypic coefficient of variation and phenotypic coefficient of variation was high for primary branches per plant and clusters per plant, indicating the presence of sufficient variation in these traits. Clusters per plant, pods per plant, seeds per pod, seed yield per plant, pod length, primary branches per plant, seed index, plant height, biological yield per plant and harvest indexshowed high heritability accompanied by high genetic advance, indicating that the heritability was due to additive gene effects and selection may be effective. Seed yield per plant exhibited significant positive correlation with pods per plant (0.982**), clusters per plant (0.977**), primary branches per plant (0.795**), harvest index (0.749**), seeds per pod (0.417**) and biological yield (0.315*) at both the phenotypic and genotypic levels. The characters harvest index (0.748), biological yield (0.649), pods per plant (0.133), seeds per pod (0.095) and primary branches per plant (0.016) exhibited positive direct effect with seed yield. Harvest index and biological yield per plant exhibited high positive direct effect accompanied by significant positive correlation with seed yield. So, these characters can be used as selection criteria for yield improvement in greengram.
机译:进行了一项实验,研究了组分特征在kharif 2016期间为12种定量性状的kharif 2016期间成分特征的可变性,相互关系和直接和间接影响的程度。方差分析显示研究所有角色的显着差异,表明基因型之间的足够变化。各种植物和每株植物簇的原代分枝的基因型变异系数和表型变异系数高,表明这些特征存在足够的变化。每个植物的簇,每株植物,每植物种子,种子产量每株植物,每株植物,种子指数,植物高,每个植物生物产量和收获索引的高遗传性伴随着高遗传的进步,表明可遗传由于添加剂基因效应和选择可能是有效的。每个植物的种子产量与每株植物的豆荚(0.982 **),每株植物(0.977 **),每株植物的簇(0.795 **),收获指数(0.749 **),每个豆荚(0.417) **)和生物收率在表型和基因型水平上的生物屈服(0.315 *)。人物收获指数(0.748),生物收率(0.649),每株植物(0.133),每株豆荚的种子(0.095),每株植物的原代分枝(0.016)表现出与种子产率的阳性直接效应。收获指数和每个植物的生物产量表现出高阳性直接效应,伴随着种子产量的显着正相关性。因此,这些字符可以用作绿钢盖的产量改善的选择标准。

著录项

  • 来源
    《Research on Crops》 |2017年第4期|共7页
  • 作者单位

    Department of Genetics and Plant Breeding Sam Higginbottom University of Agriculture Technology and Sciences Allahabad-211007 (U. P.) India;

    Department of Genetics and Plant Breeding Sam Higginbottom University of Agriculture Technology and Sciences Allahabad-211007 (U. P.) India;

    Department of Genetics and Plant Breeding Sam Higginbottom University of Agriculture Technology and Sciences Allahabad-211007 (U. P.) India;

    Agricultural Research Station Badnapur Jalna Maharashtra India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 农学(农艺学);
  • 关键词

    Correlation; genetic advance; heritability; path analysis; variability;

    机译:相关性;遗传进步;遗传性;路径分析;变异性;

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