Identification of Novel Genotypes Suitable for Processing in Tomato (Solanum lycopersicum L.) using Genetic variability Studies and Principal component Analysis

Author: Ramavath Ramesh Babu, Prasanna H.C., J.S. Aravinda Kumar, Jyothi Kattegoudar, Ranjitha K., S. Sriram, R.H. Laxman, K.V. Ravi Shankar and C.N. Hanchinamani

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Abstract

This study used twenty one tomato genotypes and two check varieties and observations were taken for two seasons. Analysis of the coefficient of variation revealed that the magnitude of the PCV was slightly higher than the GCV for all the studied traits. Further, high estimates of heritability and genetic gain were recorded for lycopene and yield per plant. Twenty two components were identified based on the PCA with 24 attributes, although 7 PCs had more than 1 eigen value and 83.01% variability. Thus, suggesting that traits such as days to first fruit ripening, yield per plant and number of locules per fruit highest eigen vectors and factor loadings are responsible for genetic variability and divergence indicating that there is sufficient variation for the morphological traits observed in this principal component in the tomato parental lines that could be used to improve tomato cultivars for these traits.

Keywords

Genetic variability, GCV, PCV, heritability, genetic advance, PCA, principal component analysis, morphological, biochemical traits

Conclusion

The analysis of 21 parental lines and 2 check varieties of tomatoes revealed a wide range of variability for different morphological and biochemical traits. Parental lines used were completely determinate, which will reduce the number of harvests, unlike semi-determinate. Days to 50% flowering, days to first fruit ripening, pericarp thickness, number of locules and number of seeds per fruit, size of core in fruit cross-section, yield per plant, TSS, fruit firmness, titrable acidity, lycopene, pH, pulp recovery, carotenoids, and shelf life are the most significant traits for which direct selection may result in appreciable improvement in selecting superior tomato genotypes. The present data was divided into twenty-two principal components. Out of twenty two factors, the first seven principal components PC1, PC2, PC3, PC4, PC5, PC6 and PC7 showed eigenvalues of more than one and cumulatively they explained 83.01% variability, thus suggesting that traits such as fruit weight, fruit width, size of core in fruit cross section, pulp recovery, days to first fruit ripening, moisture content, yield per plant, number of fruits per plant and number of locules per fruit with highest eigen vectors and factor loadings were the principal differentiating traits. So, while applying these traits in a tomato breeding program, it is important to consider the crucial traits that combine information from many PCs and contribute to phenotypic diversity. Based on the findings of the aforementioned study, the genotypes such as PED, IIHR-2833, IIHR-2955, IIHR-2821, IIHR-Sel-57, IIHR-2327-1, IIHR-2273, IIHR-Sel-41-1, IIHR-Sel-19, IIHR-Sel-22, CLN3916C, CLN3916D, IIHR-2411-2 and IIHR-TLBER-7-4-11-34 were considered as best performers with good processing quality.

References

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How to cite this article

Ramavath Ramesh Babu, Prasanna H.C., J.S. Aravinda Kumar, Jyothi Kattegoudar, Ranjitha K., S. Sriram, R.H. Laxman, K.V. Ravi Shankar and C.N. Hanchinamani (2023). Identification of Novel Genotypes Suitable for Processing in Tomato (Solanum lycopersicum L.) using Genetic variability Studies and Principal component Analysis. Biological Forum – An International Journal, 15(9): 872-881.