南瓜产量及其成分分析的相关系数和路径分析

Dharamraj Kumar, C. N. Ram, Lav Kumar, Mirtunjay Kumar, Rishikant Choudhary, Anjali Rani
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摘要

目前的试验旨在评估不同基因型南瓜(Cucurbita moschata Duch ex. Poir)产量及其组成部分的相关系数和路径分析。研究涉及 35 个不同的基因型,包括一个对照,以测量数量和质量性状。研究于 2021 年夏季在阿约提亚的库马甘吉 Acharya Narendra Deva 农业与技术大学进行,采用随机区组设计,三次重复。观察指标包括雄花和雌花初花期的节数、两种花的花期天数、初果采收天数、果实极长、果实赤道周长、果肉厚度、每株果实数、平均果重和每株果实总产量。通过相关系数和路径分析对基因型的产量进行了评估,方差分析结果表明,这些基因型具有良好的育种价值。在 35 个基因型中,有 4 个基因型的产量明显高于表现最好的对照 Narendra Agrim。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation Coefficient and Path Analysis of Yield and It’s Components Analysis in Pumpkin (Cucurbita moschata Duch ex. Poir)
The current experiment was designed to evaluate the correlation coefficient and path analysis of yield and its components in pumpkin (Cucurbita moschata Duch ex. Poir) among various genotypes. The study involved 35 distinct genotypes, including a control, to measure both quantitative and qualitative traits. It was conducted in a randomized block design with three replications at Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, during the summer of 2021. Observations included the node number at first staminate and pistillate flower anthesis, days to anthesis of both flower types, days to first fruit harvest, fruit polar length, fruit equatorial circumference, flesh thickness, number of fruits per plant, average fruit weight, and total fruit yield per plant. The genotypes were assessed for yield through correlation coefficients and path analysis, indicating promising breeding values as supported by the analysis of variance. Among the 35 genotypes, four yielded significantly more than the highest-performing control, Narendra Agrim.
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