水稻(Oryza sativa L.)先进育种品系在陆地条件下粮食产量和营养特性的遗传评估

Vilas G M, Shashidhara N, Uday G, Nethra P, Sainath K
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摘要

本研究在卡纳塔克邦穆加德农业研究站(Agricultural Research Station, Mugad, Karnataka)进行,采用扩增区组设计,使用 60 个水稻(Oryza sativa L.)先进育种品系和 6 个对照(即 IR64、BPT 5204、DRR Dhan 45、Kagisali 和 Chittimutyalu),于 2023 年印度旱季在高地条件下进行,以评估产量成分性状和谷物品质性状的遗传变异,评估产量与品质性状的关联,并使用 SSR 标记验证品质性状的基因型。方差分析显示,所研究的所有性状在基因型之间都存在显著差异。每丘丰产分蘖数和谷物产量的基因型和表型变异系数都很高,表明这些性状的变异范围很广。株高、每丘分蘖数、每丘丰产分蘖数、每平方米圆锥花序、谷物产量、谷物含铁量、含锌量和蛋白质含量等性状的遗传率较高,平均遗传进率也较高,这表明这些性状主要受加性基因作用的影响,受环境影响较小,因此通过选育有更好的改良空间。相关性分析表明,谷物产量与谷物锌含量呈负相关,与其他品质性状呈负非显著相关。对假定标记进行验证通常是为了检查这些标记的重现性。谷物铁含量的 SSR 标记 RM211 和 RM242、谷物锌含量的 SSR 标记 RM303 和 RM234 以及谷物蛋白质含量的 SSR 标记 RM23914、RM1235、RM219、RM206 和 RM1337 已通过验证。因此,这些标记可进一步用于水稻的有效生物强化。
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Genetic Evaluation of Advanced Breeding Lines of Rice (Oryza sativa L.) for Grain Yield and Nutrient Characters in Upland Condition
The present study was carried out at Agricultural Research Station, Mugad, Karnataka during kharif 2023 using augmented block design in upland condition using sixty advanced breeding lines of rice (Oryza sativa L.) and six checks viz., IR64, BPT 5204, DRR Dhan 45, Kagisali and Chittimutyalu to evaluate genetic variability for yield component traits and grain quality traits, to evaluate the association of yield with quality traits and to validate the genotypes for quality traits using SSR markers. Analysis of variance revealed the presence of significant differences among the genotypes for all the traits under study. Genotypic and phenotypic coefficients of variances were high for number of productive tillers per hill and grain yield depicting the wide range of variation for these traits. High heritability allied with high genetic advance over mean was seen for the traits like plant height, number of tillers per hill, number of productive tillers per hill, panicles per sqm, grain yield, grain iron content, zinc content and protein content indicating the preponderance of additive gene action and least influence of environment on these traits, thus, they possess better scope for improvement through selection. The correlation analysis revealed the negative significant association of grain yield with grain zinc content and negative non-significant association with all other quality traits. Validation of the putative markers is generally carried out to check the reproducibility of those markers. SSR markers RM211 and RM242 were validated for grain iron content, RM303 and RM234 for grain zinc content and RM23914, RM1235, RM219, RM206 and RM1337 for grain protein content. Therefore, these markers can be further used for effective biofortification of rice.
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