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Interrelationship and cause effect analysis among panicle yield attributing traits in lowland Traditional Rice

机译:低地传统水稻穗部产量性状间的相关关系及原因效应分析。

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摘要

Yield component analysis provides a framework for identifying potentially useful traits for yield improvement. A field experiment was conducted for two consecutive years to evaluate the forty four low land traditional rice cultivars for twenty three panicle yield and its attributing traits during kharif season at the Zonal Adaptive Research Station, Krishnagar, Nadia, West Bengal, India. Significant varietal differences were observed for all the characters. Among the panicle yield attributing traits, number of primary branches per panicle, number of grains on primary branches panicle-1, number of spikelets on primary branches panicle-1, grain length, grain breadth, grain thickness, kernel breadth, kernel thickness, 100 grain weight, 100 kernel weight correlated significantly and positively with panicle yield both at the genotypic and phenotypic levels. Results of path analysis showed that the direct positive effect on panicle yield was greatest for number of spikelets on secondary branches panicle-1 (0.998) which is followed by number of grains on secondary branches panicle-1 (0.948), grain length (0.755), and number of spikelets on primary branches panicle-1 (0.625), grain thickness (0.392) and fertility % of spikelets on primary branches panicle-1 (0.378). Few characters like number of primary branches panicle-1, number of spikelets panicle-1, by number of grains on primary branches panicle-1 and grain breadth showed negative direct effect on panicle yield even though the genotypic correlation coefficients on panicle yield were positive. The study revealed that the direct selection of the above said traits might be rewarding for panicle yield improvement since they revealed a true relationship with the panicle yield.
机译:产量成分分析提供了一个框架,用于识别潜在的有用特性以提高产量。在印度西孟加拉邦纳迪亚的克里希纳加尔的Zonal自适应研究站,连续两年进行了田间试验,评估了44个低陆传统水稻品种的23个穗粒产量及其归因特性。所有字符均观察到明显的品种差异。在穗产量归因特征中,每穗的初生枝数,初生穗-1上的粒数,初生穗-1上的小穗数,粒长,粒宽,粒厚,籽粒宽度,籽粒厚度100在基因型和表型水平上,籽粒重量,100粒重与穗产量显着正相关。路径分析结果表明,对次生穗-1上的小穗数(0.998)最大的是对穗产量的直接正效应,其次是次生穗1上的小粒数(0.948),籽粒长度(0.755) ,以及初级分支圆锥花序1上的小穗数量(0.625),谷粒厚度(0.392)和初级分支圆锥花序1上的小穗的繁殖率(0.378)。尽管主要基因型相关系数与穗产量相关,但主要的穗穗-1数量,小穗穗1的数量,穗主茎穗1上的粒数和谷粒宽度等几个字符对穗产量没有直接的负面影响。研究表明,直接选择上述性状可能对穗部产量的提高有所回报,因为它们揭示了与穗部产量的真正关系。

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