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Plant Science Today (PST)

Research Articles

Vol. 12 No. 4 (2025)

Evaluation of India's hottest chilli species (Capsicum chinense Jacq.) from various northeastern states to identify high-yielding lines with superior nutritional quality

DOI
https://doi.org/10.14719/pst.6612
Submitted
9 December 2024
Published
18-09-2025 — Updated on 10-10-2025
Versions

Abstract

The present study was conducted to assess the genetic diversity, association ship and identify stable lines of king chilli (Capsicum chinense Jacq.) at Horticulture Research Farm, ICAR Research Complex for NEH Region for three consecutive years (2021, 2022 and 2023) keeping in view the vast genetic diversity of king chilli present in the North Eastern Hill Region of India which are yet to explore to its fullest potential. The results of the study reveal that for the economic trait fruit yield per plant, the highest value was recorded in RCML5 (1003.40g) followed by RCML1 (949.85g) and RCNL4 (898.46g). Similarly, for quality parameters the highest dry matter (%), ascorbic acid content (mg/100g), total flavonoid (mg QE/g) and capsaicin (%) was recorded in RCML6 (19.78 %), RCMP6 (693.41 mg/100g), RCNL-1 (5.12 mg QE/g) and RCML16 (5.90 %), respectively. High heritability (˃60 %) coupled with high GA (˃20 %) was observed for desirable traits such as fruit yield per plant, no. of fruits per plant, no. of fruits per cluster and average fruit weight. Among the quality traits, ascorbic acid content exhibits high heritability (˃60 %) and high GA (˃20 %). This indicates the presence of additive gene action and the potential response of these traits towards selection. Cluster analysis revealed that cluster 6th, comprising of 9 accessions, was the largest, while the largest inter-cluster distance based on the Mahalnobis Euclidean Distance was recorded between cluster 8th and 6th (77.28). The Principal Component Analysis revealed that 7 PCs with eigenvalues more than 1 contribute 84.53 % of the total variability. Plant spread (E to W), no. of fruits per plant, ascorbic acid content and capsaicin content were depicted as the major predictors of total variability. The present study identifies accessions RCML5, RCML1 and RCNL4 as the best performers for fruit yield and most of its related traits. It exhibits the potential of giving higher yield in future improvement programmes, while accessions viz., RCML16, RCML5 and RCML10 are promising for capsaicin content. Based on stability analysis accession RCNL1, a moderate yielder and mid-maturity with average capsaicin content, was stable across environments. These identified accessions can served as a gene bank for future crop improvement programme in king chilli.

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