Identification of key yield determinants in sesame through multivariate analysis of F<sub>2</sub> and F<sub>3</sub> populations

The research was conducted to evaluate the F2 and F3 segregating populations of inter-varietal crosses in sesame for selecting superior segregants. The experiment involved F2 generation of three superior crosses of sesame, namely; Thilak x Ayali 1, Thilathara x Ayali 2 and Thilak x Ayali 5. The seeds of the selected superior F2 lines namely; TA1-5, TA5-2, TA5-4, TA5-5 and TA5-32 were advanced to F3 generation, which was raised in a compact family block design. Principal Component Analysis was carried out to identify the key traits influencing yield and genetic divergence. In PC1, traits such as capsule length, capsule width, number of seeds per capsule, plant height, and seed yield were identified as critical determinants, while in PC2, crop duration traits like days to maturity and first flowering were observed to be critical. Segregants such as TA5-2, TA5-4, and TA5-32 stood out for their promising yield traits and genetic variability, demonstrating the practical utility of PCA in breeding efforts. Regression analysis of both F2 and F3 populations revealed that the number of capsules per plant was the most influential factor, with capsule width, number of seeds per capsule, and plant height also contributing substantially to yield variability.

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Publication Details

Journal
Electronic Journal of Plant Breeding
Published
2025-10-14
DOI
https://doi.org/10.37992/2025.1603.040
Primary Topic
Sesame and Sesamin Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification of key yield determinants in sesame through multivariate analysis of F2 and F3 populations

B. Lovely, G. Ravi
Electronic Journal of Plant Breeding
Sesame and Sesamin Research
article

Identification of key yield determinants in sesame through multivariate analysis of F2 and F3 populations

B. Lovely, G. Ravi
article en

Abstract

The research was conducted to evaluate the F2 and F3 segregating populations of inter-varietal crosses in sesame for selecting superior segregants. The experiment involved F2 generation of three superior crosses of sesame, namely; Thilak x Ayali 1, Thilathara x Ayali 2 and Thilak x Ayali 5. The seeds of the selected superior F2 lines namely; TA1-5, TA5-2, TA5-4, TA5-5 and TA5-32 were advanced to F3 generation, which was raised in a compact family block design. Principal Component Analysis was carried out to identify the key traits influencing yield and genetic divergence. In PC1, traits such as capsule length, capsule width, number of seeds per capsule, plant height, and seed yield were identified as critical determinants, while in PC2, crop duration traits like days to maturity and first flowering were observed to be critical. Segregants such as TA5-2, TA5-4, and TA5-32 stood out for their promising yield traits and genetic variability, demonstrating the practical utility of PCA in breeding efforts. Regression analysis of both F2 and F3 populations revealed that the number of capsules per plant was the most influential factor, with capsule width, number of seeds per capsule, and plant height also contributing substantially to yield variability.

Electronic Journal of Plant BreedingVol. 16(3)
Institute of Plant Genetics, Polish Academy of Sciences (PL)
Kerala Agricultural University
Openalex Percentile: Top 76%
Sesame and Sesamin Research
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