Multivariate Dissection of Phenotypic Variation and Genetic Divergence in Advanced Groundnut Lines under Rainy Season

Groundnut (Arachis hypogaea L.) is an important oilseed and legume crop for global food security, yet its genetic advancement remains constrained by a narrow genetic base. Improving pod yield and kernel quality by systematically exploiting available genetic variability is a primary objective in groundnut breeding. In this study, we evaluated 35 groundnut accessions, comprising 30 advanced breeding lines (ICGV series) and five commercial checks during the rainy season of 2024 using an Augmented Randomised Block Design (Augmented RBD) at the Seed Research and Technology Centre (SRTC), PJTAU. A total of 11 quantitative morphological and agronomic traits were recorded and subjected to multivariate analysis. Hierarchical cluster analysis using Euclidean distance and Ward’s minimum variance method (Ward.D2) partitioned the genotypes into four distinct clusters. Cluster II was the largest (n = 22), comprised lines with a low average yield (2,589.30 kg ha-1) and seed weight, whereas Cluster III (n = 2) exhibited the maximum plant height (56.29 cm) and 100-seed weight (58.80 g), but fewer pods per plant (8.60), suggesting a trade-off between seed size and pod proliferation. Cluster IV (n = 3, including K6, JCG 2141, and G5) demonstrated superior agronomic performance, combining early maturity (110 days) with the highest pod yield (5,215.28 kg ha-1). The maximum inter-cluster distance occurred between Clusters II and III (6.32), followed by Clusters III and IV (6.10), highlighting substantial genetic divergence. Principal component analysis (PCA) identified four principal components (λ > 1.0) accounting for 76.81% of the total phenotypic variation, with PC1 (33.74%) dominated by 100-seed weight, pod wall thickness, kernel diameter, and pod yield. Crossing genotypes from Cluster IV with those from Cluster III offers the potential to combine large kernel traits with early maturity and high pod yield, facilitating transgressive segregation in future groundnut improvement programmes. Furthermore, targeted hybridisation between the high-yielding, early-maturing lines of Cluster IV and the bold-seeded lines of Cluster III may help to overcome the physiological trade-off between kernel mass and pod density, establishing a strategic foundation for future high-yielding groundnut cultivars.

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Journal
PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY
Published
2026-11-03
DOI
https://doi.org/10.56557/pcbmb/2026/v27i11-1211319
Primary Topic
Peanut Plant Research Studies
Type
article
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article

Multivariate Dissection of Phenotypic Variation and Genetic Divergence in Advanced Groundnut Lines under Rainy Season

Mandalapu Pallavi, Jagan Mohan Rao, Sunita Choudhary, Manish Pandey et al.
PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGY
Peanut Plant Research Studies
article

Multivariate Dissection of Phenotypic Variation and Genetic Divergence in Advanced Groundnut Lines under Rainy Season

Mandalapu Pallavi, Jagan Mohan Rao, Sunita Choudhary, Manish Pandey, Wahid Husen M. Peerzade
article en

Abstract

Groundnut (Arachis hypogaea L.) is an important oilseed and legume crop for global food security, yet its genetic advancement remains constrained by a narrow genetic base. Improving pod yield and kernel quality by systematically exploiting available genetic variability is a primary objective in groundnut breeding. In this study, we evaluated 35 groundnut accessions, comprising 30 advanced breeding lines (ICGV series) and five commercial checks during the rainy season of 2024 using an Augmented Randomised Block Design (Augmented RBD) at the Seed Research and Technology Centre (SRTC), PJTAU. A total of 11 quantitative morphological and agronomic traits were recorded and subjected to multivariate analysis. Hierarchical cluster analysis using Euclidean distance and Ward’s minimum variance method (Ward.D2) partitioned the genotypes into four distinct clusters. Cluster II was the largest (n = 22), comprised lines with a low average yield (2,589.30 kg ha-1) and seed weight, whereas Cluster III (n = 2) exhibited the maximum plant height (56.29 cm) and 100-seed weight (58.80 g), but fewer pods per plant (8.60), suggesting a trade-off between seed size and pod proliferation. Cluster IV (n = 3, including K6, JCG 2141, and G5) demonstrated superior agronomic performance, combining early maturity (110 days) with the highest pod yield (5,215.28 kg ha-1). The maximum inter-cluster distance occurred between Clusters II and III (6.32), followed by Clusters III and IV (6.10), highlighting substantial genetic divergence. Principal component analysis (PCA) identified four principal components (λ > 1.0) accounting for 76.81% of the total phenotypic variation, with PC1 (33.74%) dominated by 100-seed weight, pod wall thickness, kernel diameter, and pod yield. Crossing genotypes from Cluster IV with those from Cluster III offers the potential to combine large kernel traits with early maturity and high pod yield, facilitating transgressive segregation in future groundnut improvement programmes. Furthermore, targeted hybridisation between the high-yielding, early-maturing lines of Cluster IV and the bold-seeded lines of Cluster III may help to overcome the physiological trade-off between kernel mass and pod density, establishing a strategic foundation for future high-yielding groundnut cultivars.

PLANT CELL BIOTECHNOLOGY AND MOLECULAR BIOLOGYVol. 27(11-12)
Professor Jayashankar Telangana Agricultural University (IN), International Crops Research Institute for the Semi-Arid Tropics (IN)
Openalex Percentile: Top 17%
Peanut Plant Research Studies
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