Oct 2026· Journal of Experimental Agriculture International· Vol 48, pp. 878-886· 0 citations
Genetics and Plant Breeding
Abstract
The present investigation was undertaken to estimate general and specific combining ability (GCA and SCA) and gene action of seven morphological traits in lentil under normal and late-sown conditions. The F₁ crosses were made using a line × tester mating design and the crosses along with parents were evaluated in a randomised block design with two replications in both environments. The study was conducted at the Agricultural Research Farm, Institute of Agricultural Sciences, BHU, Varanasi. The crosses were made in Rabi 2023–24 and evaluated in Rabi 2024–25. Plant-to-plant and row-to-row spacing was 10 and 25 cm, respectively. Morphological data were collected from five randomly selected plants from each replication of each treatment. ANOVA revealed considerable variation among lines, testers and F₁ crosses for all the seven morphological traits studied. The GCA and SCA effects were significant, indicating the involvement of additive and non-additive gene action. Higher additive than dominance variance was observed for most of the traits, including seed yield, in both environments. The lentil genotype DPL 15 showed desirable GCA for early flowering and maturity under both conditions. Among the crosses, HUL 57 × BCL 10212 and HUL 57 × KM 2 showed favourable SCA for yield-related traits under late-sown conditions. The contributions of interactions, lines and testers varied among traits, with line × tester interaction making an important contribution to yield and its components under late-sown conditions. These identified parents and cross combinations may be used for improving lentil productivity under late-sown conditions.
The present investigation was carried during kharif (July–October) 2024 at college farm Bihar Agricultural University, Sabour, Bihar, India utilizing twelve lines and two testers along with twenty four crosses to analyse general and specific combining ability. The experimental material comprised twelve lines and two t...
S. Raj, S. Sen, A. K. Choudhary et al.· International Journal of Bio...· 1 citation
Tomato (Solanum lycopersicum L.) yield in Ghana remains low ( ~7.5 t ha-1), far below the >40 t ha-1 potential of improved hybrids, due to limited adapted varieties, bacterial wilt, tomato yellow leaf curl virus, and poor shelf life under high ambient temperatures. The objective of this study was to evaluate the combin...
P. Amoah, M. Osei, H. Adu-Dapaah· African Crop Science Journal· 0 citations
This study used a line × tester design to evaluate eight lines, five testers, and 40 F1 hybrids at the Cereal Crops Research Institute (CCRI), Pirsabak, Pakistan, during the 2023–2024 growing season under irrigated and rainfed conditions using a randomized complete block design with three replications. An integrated an...
Maryam Amin, N. Ali, A. Brennan et al.· Agronomy· 0 citations
Background: The present investigation entitled ‘Genetic analysis for quantitative traits in lentil (Lens culinaris Medik) using Line × tester mating design’. The Line × Tester mating provides a powerful statistical tool to estimate general combining ability (GCA) of parents and specific combining ability (SCA). To char...
Raushan Lal, A. Srivastava, Ved Ratan et al.· Legume Research An Internati...· 0 citations
Aim: To assess heterobeltiosis and standard heterosis for seed yield per plant and yield-attributing traits in Pigeon pea [Cajanus cajan (L.) Millsp.] across diverse environments and identify promising F₁ combinations for further genetic improvement.Study Design: Twenty F₁s were developed using a Line × Tester mating d...
Bhagyasri Majhi, D. Chauhan, Boddu Sangavi et al.· Journal of Scientific Resear...· 0 citations
Cucumber (
Cucumis sativus
L.) is a major vegetable crop facing continuous challenges regarding genetic narrowness and pathogen susceptibility. Traditional breeding approaches often face challenges in combining high productivity with resistance to multiple diseases. This study aimed to comprehensively evaluate the...
Nikolay Velkov, S. Grozeva· BIO Web of Conferences· 0 citations
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