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<p>Linseed is a potential oilseed crop with various industrial and nutraceutical applications. The climatic conditions of the North-Eastern Region of India favour linseed cultivation, but the crop occupies a limited area and yields remain low. This is primarily due to soil acidity, which leads to phosphorus deficiency, as well as iron and aluminium toxicity in the soil. A set of 35 linseed genotypes was grown in the ICAR research complex for the NEH region, and the genotypes were evaluated for eight yield contributing traits. Analysis of variance revealed a significant difference among the genotypes for all the traits, indicating a considerable variability among the genotypes. Pearson correlation studies revealed a positive and significant correlation of yield per plant with number of capsules per plant and number of secondary branches per plant. Further, the hierarchical clustering method grouped 35 genotypes into four different clusters. Among that, cluster I consists of 23 genotypes, and clusters II, III and IV consist of six, five and one (NL294) genotypes, respectively. Additionally, AMMI and GGE biplot analysis revealed stable and high-yielding genotypes NL356, BAU-15-06 and T397 across environments. The genotypes SLS115 and PKDL166 were identified as high-yielding and moderately stable genotypes. Based on yield performance, five parental lines, namely RLC163, SLS115, RLC164, LMS-2015-14 and T397, were selected, and a total of 20 crosses were made in diallel fashion, including the reciprocals. GCA effects were non-significant for all traits, indicating the presence of non-additive gene action. Specific combining ability variances showed a significant variation for all traits except yield per plant. Among 20 crosses, C8 (SLS115 XT397) exhibited a high SCA effect for plant height, primary branches per plant, secondary branches per plant and performed better under acidic soil conditions. Thus, the population was advanced up to the F<sub>5</sub> generation, and the mean value comparison for selected plants of&#xa0;F<sub>3</sub>, F<sub>4</sub> and F<sub>5</sub> generations revealed that the F<sub>5</sub> generation exhibited a higher mean value than the F<sub>3</sub> and F<sub>4</sub> generations, suggesting that the population performance is moving in a positive direction for yield-contributing traits. The presence of non-additive gene action suggests the use of heterosis breeding for the genetic improvement of the traits. The present study identified that the genotypes NL356, BAU-15-06, T397, SLS115 and PKDL166 can be used as parents in the future breeding programme and that the genotypes SLS115 and RLC163 were identified as the best combiners to increase yield per plant.</p>

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Genetic Diversity, Combining Ability and Stability Analysis of Linseed (Linum Usitatissimum) Under Acidic Soil Conditions in the North-Eastern Region of India

  • 期刊论文

  • 发表日期：

    2025年12月17日

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  • M. Bezil,
  • P. Magudeeswari,
  • Malemnganbi Keisham,
  • Abhilash Behera,
  • Amit Kumar,
  • Wricha Tyagi,
  • Mayank Rai

摘要

Linseed is a potential oilseed crop with various industrial and nutraceutical applications. The climatic conditions of the North-Eastern Region of India favour linseed cultivation, but the crop occupies a limited area and yields remain low. This is primarily due to soil acidity, which leads to phosphorus deficiency, as well as iron and aluminium toxicity in the soil. A set of 35 linseed genotypes was grown in the ICAR research complex for the NEH region, and the genotypes were evaluated for eight yield contributing traits. Analysis of variance revealed a significant difference among the genotypes for all the traits, indicating a considerable variability among the genotypes. Pearson correlation studies revealed a positive and significant correlation of yield per plant with number of capsules per plant and number of secondary branches per plant. Further, the hierarchical clustering method grouped 35 genotypes into four different clusters. Among that, cluster I consists of 23 genotypes, and clusters II, III and IV consist of six, five and one (NL294) genotypes, respectively. Additionally, AMMI and GGE biplot analysis revealed stable and high-yielding genotypes NL356, BAU-15-06 and T397 across environments. The genotypes SLS115 and PKDL166 were identified as high-yielding and moderately stable genotypes. Based on yield performance, five parental lines, namely RLC163, SLS115, RLC164, LMS-2015-14 and T397, were selected, and a total of 20 crosses were made in diallel fashion, including the reciprocals. GCA effects were non-significant for all traits, indicating the presence of non-additive gene action. Specific combining ability variances showed a significant variation for all traits except yield per plant. Among 20 crosses, C8 (SLS115 XT397) exhibited a high SCA effect for plant height, primary branches per plant, secondary branches per plant and performed better under acidic soil conditions. Thus, the population was advanced up to the F5 generation, and the mean value comparison for selected plants of F3, F4 and F5 generations revealed that the F5 generation exhibited a higher mean value than the F3 and F4 generations, suggesting that the population performance is moving in a positive direction for yield-contributing traits. The presence of non-additive gene action suggests the use of heterosis breeding for the genetic improvement of the traits. The present study identified that the genotypes NL356, BAU-15-06, T397, SLS115 and PKDL166 can be used as parents in the future breeding programme and that the genotypes SLS115 and RLC163 were identified as the best combiners to increase yield per plant.