IDENTIFICATION OF KEY TRAITS INFLUENCING TOMATO GENOTYPE PERFORMANCE USING PRINCIPAL COMPONENT ANALYSIS
Keywords:
Fruit quality, variability, physiological traits, PCA, tomatoesAbstract
This study examines tomato genotype variability concerning morphological and biochemical fruit attributes. The Ayub Agriculture Research Institute in Faisalabad, Pakistan has a genetic collection of tomato plants that includes experimental material. Fruit size, locule count, index of fruit form, fruit color, dry matter content, total sugar contents, total acidity, lycopene, and vitamin C content were all examined about genotypes. The key markers of variability (CV and σ) and the minimum, maximum, and mean values were computed. Using principal component analysis, the variability source structure was determined. Four main components that account for 93.74% of the overall variability were chosen for analysis. The definition of the first primary component includes vitamin C, locule number, and fruit form index. Dry matter content and overall acidity decide the second component, whereas lycopene, fruit mass, and fruit color determine the third. The most significant portion of the fourth component was made up of total sugars.
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