Multivariate Analysis for Post Harvest Quality and Yield Attributes in Tomato (Solanum lycopersicum L.)

Aim: To study the multivariate analysis, genetic parameters and correlation for post harvest quality yield traits in tomato.
 Study Design: The variability twenty genotypes of tomato (Solanum lycopersicum L.) was evaluated 18 attributes using randomized block design analyzed with methods.
 Place Duration Study: Twenty augmented from Indian Institute Vegetable Research, Varanasi were sown during rainy season at Horticulture Research Farm Banaras Hindu University.
 Methodology: unweighted pair group method average linkage (UPGMA) cluster analysis principal component (PCA) used to analyze data. Canonical discriminant showed contribution each trait classification accessions into different groups.
 Results: first seven components (PC) explained 87.83% total variation has eigen values >1. that mainly contributed this PC1 PC2 are fruit yield, plant height, number flower clusters per plant, fruits days set, cluster. High (>20%) genotypic coefficient (GCV) phenotypic (PCV) observed fruits/cluster, shape index, fruits/plant, shelf life. coefficients primary branches/plant, clusters/plant, width (cm), weight (g) lycopene (mg/100 g) positively significantly correlated yield/plant.
 Conclusion: Number had maximum variation. These also high heritability, gain significant yield.