Genetic variability and principal component analysis of sesame genotypes using morphological traits

Sesame is one major oilseed crop cultivated in India. The demand for the sesame oil is increasing but the productivity of sesame in India is around 537 kg/ha. Selection based on the yield along with the other yield component traits is essential by studying of character association to assess the relationship among yield and its components characters for selection while developing new varieties. The present study was conducted to access the variability and relationship between the yield and its component characters in sesame (Sesamum indicum L.). The experiment was laid out with 26 advance lines along with checks in Regional Research Station, Vriddhachalam during the Kharif 2023 season and evaluated in two replications in Randomized Complete Block Design. The high Genotypic Co-efficient of Variation (GCV) was noticed for number of branches per plant (19.9 %), number of capsules per plant (11.3) and seed yield (16.4). High heritability along with high genetic advance was recorded for seed yield per plant, number of branches per plant and number of capsules per plant indicating prime role of additive genetic components for the expression and indicating better scope of use of direct selection for those traits. The trait Number of capsules per plant showed positive correlation (0.148) with seed yield. Number of capsules per plant showed positive direct effects on seed yield while days to maturity showed negative direct effects. In the Principal component analysis PC1, PC2 and PC3 explained cumulative variance of 68.44 %.

Authors

Institutions

Publication Details

Journal
Plant Science Today
Published
2025-04-27
DOI
https://doi.org/10.14719/pst.7855
Primary Topic
Sesame and Sesamin Research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic variability and principal component analysis of sesame genotypes using morphological traits

P. Indiragandhi, Mahalingam Angamuthu, M. Paramasivan, Kanhaiya Kumar et al.
Plant Science Today
Sesame and Sesamin Research
article

Genetic variability and principal component analysis of sesame genotypes using morphological traits

P. Indiragandhi, Mahalingam Angamuthu, M. Paramasivan, Kanhaiya Kumar, R. Sathish Kumar
article en

Abstract

Sesame is one major oilseed crop cultivated in India. The demand for the sesame oil is increasing but the productivity of sesame in India is around 537 kg/ha. Selection based on the yield along with the other yield component traits is essential by studying of character association to assess the relationship among yield and its components characters for selection while developing new varieties. The present study was conducted to access the variability and relationship between the yield and its component characters in sesame (Sesamum indicum L.). The experiment was laid out with 26 advance lines along with checks in Regional Research Station, Vriddhachalam during the Kharif 2023 season and evaluated in two replications in Randomized Complete Block Design. The high Genotypic Co-efficient of Variation (GCV) was noticed for number of branches per plant (19.9 %), number of capsules per plant (11.3) and seed yield (16.4). High heritability along with high genetic advance was recorded for seed yield per plant, number of branches per plant and number of capsules per plant indicating prime role of additive genetic components for the expression and indicating better scope of use of direct selection for those traits. The trait Number of capsules per plant showed positive correlation (0.148) with seed yield. Number of capsules per plant showed positive direct effects on seed yield while days to maturity showed negative direct effects. In the Principal component analysis PC1, PC2 and PC3 explained cumulative variance of 68.44 %.

Plant Science Today
Tamil Nadu Agricultural University (IN)
Indian Council of Agricultural Research
Openalex Percentile: Top 94%
Sesame and Sesamin Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Genetic variability and principal component analysis of sesame genotypes using morphological traits — P. Indiragandhi, Mahalingam Angamuthu, et al. · Plant Science Today (2025) | TGRS Research Map | TGRS