2007•Progressive HorticultureRequires access

Association analysis in peach (Prunus persica L.) genotypes

Parmeshwar Lal Saran

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Abstract

Eleven genotypes of low chilling peach (Prunus persica L.) were studied for their, correlation and path coefficient analysis for thirteen yield and its contributing traits. Yield of peach genotypes had significant positive correlation with number of fruit set, fruit weight, fruit length, fruit diameter, stone weight, height, spread and chlorosis. Fruit weight has highly positive correlation with fruit length fruit diameter and stone weight, while fruit length with fruit diameter and stone weight. The path coefficient analysis indicated that fruit weight had highest direct and positive effect followed by chlorosis, number of flowers/shoot, stone weight and number of shoots on yield per tree.

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What this paper is about

Eleven genotypes of low chilling peach (Prunus persica L.) were studied for their, correlation and path coefficient analysis for thirteen yield and its contributing traits. Yield of peach genotypes had significant positive correlation with number of fruit set, fruit weight, fruit length, fruit diameter, stone weight, height, spread and chlorosis. Fruit weight has highly positive correlation with fruit length fruit diameter and stone weight, while fruit length with fruit diameter and stone weight. The path coefficient analysis indicated that fruit weight had highest direct and positive effect followed by chlorosis, number of flowers/shoot, stone weight and number of shoots on yield per tree.

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Available abstract

Eleven genotypes of low chilling peach (Prunus persica L.) were studied for their, correlation and path coefficient analysis for thirteen yield and its contributing traits. Yield of peach genotypes had significant positive correlation with number of fruit set, fruit weight, fruit length, fruit diameter, stone weight, height, spread and chlorosis. Fruit weight has highly positive correlation with fruit length fruit diameter and stone weight, while fruit length with fruit diameter and stone weight. The path coefficient analysis indicated that fruit weight had highest direct and positive effect followed by chlorosis, number of flowers/shoot, stone weight and number of shoots on yield per tree.

Key concepts: Prunus, Horticulture, Path coefficient, Chlorosis, Shoot, Biology, Path analysis (statistics), Fruit set

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