Deciphering the Traits Association and Path Coefficient Analysis among Yield Attributing Traits of Snap Melon (Cucumis melo var. momordica) Genotypes

Shrilatha K A, I. B. Biradar, Satish D, H. Hadimani, R. S. Jawadagi, Nayana K R
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Abstract

An investigation was carried out at the University of Horticultural Sciences, Bagalkot, Karnataka, during the Rabi season of 2021. The experiment employed a randomized complete block design with two replications and aimed to assess twenty-five snap melon genotypes alongside three check varieties, sourced from various regions in India. Seventeen yield-related traits were observed for each genotype, and the mean data was utilized for subsequent analysis. The study on trait associations revealed that genotypic correlations exhibited higher values compared to their respective phenotypic counterparts, indicating stronger, consistent correlations independent of environmental factors. Notably, yield plant-1 exhibited positive and significant correlations with vine length, number of fruits vine-1, fruit weight, length of fruit, fruit circumference, and flesh thickness at both genotypic and phenotypic levels. Path coefficient analysis unveiled that the total number of fruits plant-1 and average fruit weight exerted positive direct effects on yield plant-1. Consequently, the study suggests that selection based on traits such as number of fruits-1 plant and average fruit weight would be effective for enhancing yield in snap melon.
脆瓜(Cucumis melo var. momordica)基因型的性状关联解密及产量归因性状间的路径系数分析
卡纳塔克邦巴加科特园艺科学大学在 2021 年 Rabi 季节开展了一项调查。试验采用随机完全区组设计,两次重复,旨在评估来自印度不同地区的 25 个甜瓜基因型和 3 个对照品种。对每个基因型的 17 个产量相关性状进行了观察,并利用平均数据进行后续分析。对性状相关性的研究表明,基因型相关性的数值高于各自的表型相关性,这表明基因型与表型之间的相关性更强、更一致,不受环境因素的影响。值得注意的是,在基因型和表型水平上,植株产量-1 与藤蔓长度、藤蔓结果数-1、果实重量、果实长度、果实周长和果肉厚度均呈显著正相关。路径系数分析表明,总株数-1 和平均果重对产量-1 有直接的正向影响。因此,该研究表明,基于单株果实数和平均果重等性状的选择将有效提高甜瓜的产量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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