Early Generation Selection Parameters for Genetic Improvement using Morpho-physiological and Seed Yield Components in Brassica species

Amit Kumar Sharma, V. Kumari, Amit Rana
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引用次数: 1

Abstract

Aims: To determine the best selection indices for seed yield improvement in Brassica crops Place of Study: Experimental Farm of Department of Genetics & Plant Breeding, CSK HPKV, Palampur, during rabi 2018-19. Methodology: The experimental material for the investigation comprised of twenty five advanced breeding lines including released varieties of four different Brassica species laid out in randomized complete block design with three replications which were evaluated for correlation (genotypic and phenotypic) studies, direct and indirect effects using various growth parameters and yield contributing traits. Results: Analysis of variance revealed significant genotypic variances for all the growth parameters and seed yield components under study except for Leaf Area Index (LAI), number of primary branches per plant, number of secondary branches per plant, siliquae per plant and harvest index. Correlation coefficients at phenotypic level indicated that seed yield per plant had significant positive correlations with relative growth rate (RGR), leaf area ratio (LAR), number of secondary branches per plant, siliquae per plant, seeds per siliqua, 1000-seed weight, biological yield per plant and harvest index while it had significant negative association with specific leaf weight (SLW), days to 50% flowering, days to 75% maturity and number of primary branches per plant. Path coefficient analysis revealed that biological yield per plant followed by harvest index had high positive direct as well as indirect effects on seed yield. Conclusion: Biological yield per plant and harvest index could be considered most important characters for improvement of seed yield both directly and indirectly in different Brassica species. Therefore, these traits could be preferred as the best selection indices in future for genetic improvement of rapeseed-mustard.
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利用形态生理和种子产量成分进行遗传改良的早期代选择参数
目的:确定芸苔属作物种子产量改良的最佳选择指标。研究地点:Palampur市CSK HPKV遗传与植物育种部实验农场,2018-19 rabi。方法:选取25个高级选育品系,其中包括4个不同的芸苔属品种的已发布品种,采用随机完全区组设计,3个重复,利用各种生长参数和产量贡献性状对相关性(基因型和表型)、直接和间接效应进行评估。结果:方差分析显示,除叶面积指数(LAI)、单株一次枝数、单株次枝数、单株硅枝数和收获指数外,各生长参数和籽粒产量组分均存在显著的基因型差异。表型水平相关系数表明,单株种子产量与相对生长率(RGR)、叶面积比(LAR)、单株次枝数、单株硅果数、单株硅果数、千粒重、单株生物产量和收获指数呈极显著正相关,与比叶重(SLW)、开花天数至50%、成熟天数至75%和单株一次枝数呈极显著负相关。通径系数分析表明,单株生物产量对种子产量有较高的直接和间接正向影响,其次是收获指数。结论:单株生物产量和收获指数可作为直接或间接提高芸苔属种子产量的重要指标。因此,这些性状可作为今后油菜遗传改良的最佳选择指标。
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