Assessment of Correlation Analysis for Yield and Yield Contributing Traits among Tomato (Solanum lycopersicum L.) Genotypes
Deepak Kumar *
Department of Vegetable Science, College of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (Uttar Pradesh), India.
Vipin Kumar
Department of Vegetable Science, College of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (Uttar Pradesh), India.
Bijendra Singh
Department of Vegetable Science, College of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (Uttar Pradesh), India.
Satya Prakash
Department of Vegetable Science, College of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (Uttar Pradesh), India.
Manoj Kumar Singh
Department of Vegetable Science, College of Horticulture, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (Uttar Pradesh), India.
*Author to whom correspondence should be addressed.
Abstract
Tomato (Solanum lycopersicum L.) is one of the most economically valuable crops worldwide, making it imperative to understand the complex interplay of various factors influencing tomato yield. During the research, we investigate Correlation analysis enhances our understanding of the relationships between the variables. We employ Pearson correlation coefficients to assess the strength and direction of linear associations. The results indicate strong positive correlations between morphological traits of diverse genotypes of tomato. This research article contributes to the existing body of knowledge by providing a comprehensive assessment of the correlations among key factors influencing tomato yield. Our findings have practical implications for tomato growers, enabling them to make informed decisions regarding selection of different tomato genotypes strategies to optimize yield.
Keywords: Tomato, genotypic, phenotypic, yield, correlation, genotypes