The results suggest that a combined breeding strategy involving hybridization followed by selection in advanced segregating generations would be effective for improving seed yield and oil quality traits in Indian mustard.
Abstract
The present investigation was undertaken to elucidate the nature and magnitude of gene action governing seed yield and oil quality traits in Indian mustard (Brassica juncea (L.) Czern. & Coss.) using generation mean analysis. Four crosses, namely PR36 × Rohini, PRE11 × CS60, PRE15 × CS58, and PRL26 × Giriraj, were studied using six generations (P₁, P₂, F₁, F₂, BC₁, and BC₂) during the Rabi seasons of 2022–2024 at Ajitmal, Uttar Pradesh, India. Analysis of variance revealed significant genetic variability for seed yield, oil content, protein content, and fatty acid composition. Significant scaling tests indicated the presence of epistatic interactions, and therefore, the six-parameter model was employed. Both additive (d) and non-additive (h) gene effects were involved in the inheritance of most traits, with additive × additive (i) and dominance × dominance (l) interactions being predominant in several cases. The results suggest that a combined breeding strategy involving hybridization followed by selection in advanced segregating generations would be effective for improving seed yield and oil quality traits in Indian mustard.
Indian mustard belongs to the family Brassicaceae and the genus Brassica and is a major oilseed crop cultivated in India. Worldwide, it is the third-ranked oilseed crop in terms of consumption after palm oil and soybean. However, productivity remains below its potential because of various biotic and abiotic stressors coupled with a narrow genetic base, highlighting the need to broaden the genetic base and exploit heterosis to develop superior cultivars. Therefore, in the present study, general and specific combining ability analyses were conducted to assess the combining abilities of the parents and the performance of hybrids at the Zonal Agricultural Research Station, Morena, Rajmata Vijayaraje Scindia Agricultural University, Gwalior, M. P., India, during Rabi 2026. During the present investigation, 16 yield-attributing traits were evaluated using 10 lines, 3 testers, and their thirty F1 hybrids developed through a line × tester mating design to estimate the magnitude and direction of combining abilities. Among the lines and testers, GCA effects showed that parents viz., Pusa Bold, Rohini, Varuna, and Vardhan were good general combiners because they exhibited desirable negative and highly significant GCA effects for days to 50% flowering, days to siliquae initiation, and plant height. However, Pusa Bold was recognized as a good general combiner because it displayed positive and highly significant GCA effects for the maximum number of quantitative traits, including seed yield per plant and harvest index. The cross-combination Pusa Jagannath × PAB-2014-4 had the highest SCA effect for seed yield per plant, biological yield, number of siliquae per plant and number of primary branches per plant, while Maya × PAB-2014-8 showed high SCA effects for seed yield per plant, biological yield and number of siliquae on the main raceme.
Soyal Davalasab Wathar, M. K. Tripathi, Jagendra Singh et al.· Plant cell biotechnology and...· 0 citations
Understanding the genetic control of earliness-related traits is essential for developing early maturing cucumber varieties and hybrids. The present investigation was undertaken to elucidate the nature of gene action governing the node at which the first female flower appears (NFFF) and days to first fruit picking (DFFP) using generation mean analysis in two reciprocal crosses, PBRK-11 × Punjab Naveen and Punjab Naveen × PBRK-11. Six basic generations, namely P1, P2, F1, F2, BC1P1 and BC1P2, were evaluated for both traits. The results revealed sufficient genetic variability among the generations for both traits. For NFFF, additive gene action was predominant in the cross PBRK-11 × Punjab Naveen, whereas its reciprocal cross Punjab Naveen × PBRK-11 exhibited significant dominance effects along with duplicate type of epistasis, indicating the influence of non-additive gene action. The contrasting behaviour of the reciprocal crosses suggested a possible reciprocal cross effect for NFFF; however, this effect cannot be attributed to maternal or cytoplasmic inheritance without further validation. In contrast, the DFFP trait was mainly governed by dominance gene action with duplicate type of epistatic interactions in both reciprocal crosses, indicating no clear reciprocal difference for this trait. The estimates of dominance ratio indicated partial to complete dominance for NFFF and over-dominance for DFFP. Significant negative heterosis for DFFP over better-parent indicated the superiority of hybrids for early fruit development, whereas contrasting heterotic responses for NFFF suggested limited direct exploitation of heterosis for NFFF. The predominance of non-additive gene effects and duplicate epistasis indicates that selection for earliness would be more effective in later segregating generations. Overall, the findings indicate that hybridization followed by selection in advanced generations would be an effective breeding strategy for developing early maturing cucumber varieties.
Megha Sharma, R. Dhall, Gurpreet Kaur· Horticulturae· 0 citations
Aims: To evaluate the combining ability, determine the nature of gene action governing yield, oil content and associated traits, and identify superior parents and promising hybrid combinations for sunflower (Helianthus annuus L.) improvement.
Study Design: Line × tester mating design.
Place and Duration of Study: Oilseeds Research Station, Latur, Maharashtra, India, during kharif 2025 (hybrid development) and rabi 2025–26 (field evaluation).
Methodology: Six cytoplasmic male sterile (CMS) lines and seven restorer lines were crossed in a line × tester mating design to generate 42 hybrids. The resulting hybrids, along with their 13 parents and three standard checks, were evaluated in a randomised block design with two replications for ten agro-morphological and quality traits. Data were subjected to analysis of variance, line × tester analysis to estimate general and specific combining ability, and assessment of gene action following the method of Kempthorne (1957).
Results: Analysis of variance revealed highly significant differences among the genotypes for all the traits studied, indicating substantial genetic variability. Line × tester analysis showed significant GCA and SCA effects for most traits, with non-additive gene action predominating for seed yield and several associated traits. Among the parents, NDCMS 2A and CMS 597A were identified as good general combiners among the lines, while NDL20, NDL3 and GMU847 were the most desirable testers for seed yield, oil content and associated traits. The crosses NDCMS 2A × NDL20, CMS 597A × NDL20, CMS 597A × NDL3, CMS 852A × GMU847 and CMS 597A × HOCL-20R exhibited desirable specific combining ability effects coupled with superior per se performance, indicating their potential for exploitation in sunflower hybrid breeding.
Conclusion: The findings indicated the involvement of both additive and non-additive gene action in the inheritance of yield, oil content and associated traits in sunflower, with the predominance of non-additive gene action for most of the characters. The identified superior combiners and promising hybrid combinations provide valuable genetic resources for the development of high-yielding and high-oil sunflower hybrids and can be effectively utilised in future sunflower breeding programmes.
Surya Prakash Sharma, M. V. Dhuppe, S. Pole et al.· Plant cell biotechnology and...· 0 citations
Aims: To evaluate combining ability, determine the nature of gene action governing yield and yield-contributing traits, and identify superior parents and promising hybrid combinations in sunflower (Helianthus annuus L.).
Study Design: Line × tester mating design.
Place and Duration of Study: Oilseeds Research Station, Latur, Maharashtra, India, during kharif 2025 (hybrid development) and rabi 2025–26 (field evaluation).
Methodology: Six cytoplasmic male-sterile (CMS) lines and seven restorer lines were crossed in a line × tester mating design to generate 42 hybrids. The resulting hybrids, together with their 13 parents and three standard checks, were evaluated in a randomised block design with two replications for ten agro-morphological and quality traits. The data were subjected to analysis of variance, line × tester analysis to estimate general and specific combining ability, and assessment of gene action following Kempthorne (1957).
Results: Significant variation was observed among the 58 genotypes for all ten traits studied, indicating sufficient genetic variability for effective selection and hybrid development. Combining ability analysis revealed significant GCA and SCA effects for most traits, with SCA variance exceeding GCA variance and indicating the predominance of non-additive gene action. CMS-249A and CMS-47A exhibited desirable GCA effects for several yield-related traits, whereas EC-601924 and EC-601751 were superior restorers. The hybrid combinations DSP-11A × EC-601924, CMS-249A × RHAGPR-3, and CMS-10A × EC-601751 expressed high SCA effects together with desirable performance for yield and related traits, indicating their suitability for hybrid breeding.
Conclusion: Both additive and non-additive genetic effects contributed to the inheritance of yield and yield-contributing traits, although non-additive gene action was predominant. The identified superior parents and hybrids may be utilised in sunflower hybrid-breeding programmes to develop high-yielding hybrids.
Sharanabasava Sangamesh Ambakkanavar, M. V. Dhuppe, R. Chinmay et al.· Plant cell biotechnology and...· 0 citations
Cotton (Gossypium hirsutum L.) is a major commercial crop and an important source of natural fibre, making the understanding of its genetic architecture essential for crop improvement. The present study employed generation mean analysis using six generations (P₁, P₂, F₁, F₂, BC₁ and BC₂) to investigate the nature of gene action governing yield-contributing and fibre quality traits. Significant scaling tests and chi-square (X2) values for several traits indicated the presence of epistatic gene interactions. The analysis revealed that both additive and non-additive gene effects contributed to trait inheritance, with duplicate epistasis predominating for several economically important traits. These findings suggest that the inheritance of yield and fibre quality traits is complex, involving multiple gene interactions. Therefore, breeding strategies that exploit both additive and non-additive genetic variation, including selection in advanced generations and population improvement approaches, are likely to be more effective for developing superior cotton genotypes.
P. Ashita, K. Chaudhari, Chintan v Kapadia et al.· Plant Science Today· 0 citations
A field experiment was conducted during the Rabi season of 2024–25 at the research farm of Ch. Chhotu Ram (PG) College, Muzaffarnagar, Uttar Pradesh, under the aegis of the Department of Genetics and Plant Breeding (Agricultural Botany). The primary objectives were to quantify genetic variability, estimate heritability and genetic advance, and explore trait interrelationships for yield enhancement in Indian mustard. The analysis of variance demonstrated highly significant genotypic differences across all characters, confirming the presence of considerable genetic diversity within the germplasm. For the majority of traits, phenotypic coefficient of variation (PCV) estimates marginally exceeded genotypic coefficient of variation (GCV), suggesting limited environmental influence on trait expression. Several yield-related attributes exhibited elevated GCV and PCV values, indicating substantial opportunities for selection-mediated genetic improvement. Traits registering high heritability alongside significant genetic advance as a percentage of the mean reflected the predominance of additive genetic effects, thereby supporting the efficacy of phenotypic selection in subsequent generations. Moreover, the pronounced direct contributions of these traits to seed yield underscore their potential as dependable selection indices in mustard breeding initiatives. Collectively, the findings establish the availability of exploitable genetic variability and identify key economically important traits that directly influence yield. Accordingly, prioritising these characteristics in breeding frameworks may accelerate the development of high-yielding, genetically superior mustard cultivars adaptable to diverse agro-climatic conditions.
S. K. Singh, J. Kumar, S. Lal et al.· Annual Research & Review...· 0 citations
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