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首页> 外文期刊>Current Journal of Applied Science and Technology >Character Association and Path-Coefficient Analysis for Yield and Yield-Related Traits in 112 Genotypes of Rice (Oryza sativa L.)
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Character Association and Path-Coefficient Analysis for Yield and Yield-Related Traits in 112 Genotypes of Rice (Oryza sativa L.)

机译:稻米112基因型产量和产量相关性状的特征协会和路径系数分析(Oryza Sativa L.)

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Character association and path coefficients for sixteen different yield and yield-contributing traits were evaluated for 112 rice genotypes at Banaras Hindu University, Varanasi during Kharif -2019. The experiment was conducted in alpha lattice design and observations were recorded in five randomly selected plants for sixteen traits. The data were analyzed in WINDOSTAT 9.3 ver. for correlation and path analysis. The correlation analysis showed very strong correlation of grain yield per plot with biomass yield per plot. Days to first flowering showed very strong correlation with days to 50% flowering and days to maturity. Days to 50% flowering showed very strong correlation with days to maturity. Spikelets per panicle showed very strong correlation with grains per panicle and grain weight per panicle. Number of grains per panicle showed very strong correlation with grain weight per panicle. Path-coefficient analysis showed that biomass yield per plot, grain yield per plant, grain weight per panicle, grains per panicle, spikelets per panicle, harvest index, days to first flowering, days to 50% flowering, days to maturity and panicle length had a high and positive direct effect on grain yield per plot. Correlation and path coefficient analysis envisaged characteristics such as biomass yield per plot, grain weight per panicle, grains per panicle, spikelets per panicle, first flowering, 50 percent flowering and days to maturity showed positive direct effect and very strong correlation with grain yield per plot, indicating the effectiveness of these traits in selection. Path analysis revealed that traits like biomass yield per plot, harvest index, grain yield per panicle exerted highest positive direct effect on grain yield per plot. Thus, these characters which contribute to the grain yield could be exploited for future breeding programmes.
机译:在Kharif -2019期间,评估了16种不同产量和产量促成的16种不同产量和产量促进性状的促进额外促进性状的路径系数。该实验在α晶格设计中进行,并在五种随机选择的植物中记录了6个用于十六个特征的观察结果。在Windostat 9.3 Ver中分析了数据。相关性和路径分析。相关性分析表明,每绘具有生物量产量的每种曲率的谷物产量非常强烈。第一次开花的日子表现出与日期到50%的开花和日期的日子表现出非常强烈的相关性。日落到50%的开花与成熟时期表现出非常强烈的相关性。每穗的小穗与每穗和每穗粒重量的晶粒相关的非常强烈的相关性。每穗的晶粒数与每穗的粒重相比表现出非常强烈的相关性。路径系数分析表明,每植物的生物质产量,每株植物籽粒产量,每穗粒重量,每穗颗粒,每穗针,收获指数,天至第一次开花,天至50%开花,天数为成熟,天数与成熟的天数高阳性直接对每种绘图的谷物产量直接影响。相关性和路径系数分析设想的特征如每种曲线的生物质产量,每穗粒粒重,每穗穗,第一次开花,50%的开花和成熟的日子显示出积极的直接效果,与每种绘图的籽粒产量非常强烈相关性,表示这些特征在选择中的有效性。路径分析显示,每个图的生物量产量,收获指数,每穗的籽粒产量对籽粒产量的籽粒产量相同的性状。因此,可以利用对粮食产量有助于未来的繁殖计划的这些角色。

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