Assessment of variability parameters and diversity of panicle architectural traits associated with yield in rice (Oryza sativa L.)

IF 0.7 Q4 PLANT SCIENCES Plant Science Today Pub Date : 2023-10-14 DOI:10.14719/pst.2658
Jasmin S Agalya, Prasanth P Hari, Selvaraj Ramchander, Kumar P` Dinesh, N Devesena, R Naveenkumar, Thankappan Sugitha, Kingsly N. B. John
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Abstract

The rice panicle, a pivotal reproductive structure, signifies the transition from vegetative to reproductive growth in plants. Comprising components such as the rachis, primary and secondary branches, seed quantities and branch lengths, panicle architecture profoundly influences grain production. This study delves into the diversity of panicle architecture traits and scrutinizes variability parameters across 69 distinct rice genotypes. Our findings underscore substantial variations in panicle architecture traits among genotypes. Particularly noteworthy are traits with the highest coefficient of variation (CV%), encompassing the count of secondary branches, single plant yield, productive tillers per plant, seeds per secondary branch and panicle weight. Correlation analysis reveals robust positive connections between panicle weight, the number of filled grains per panicle, 1000-grain weight and single plant yield. The number of secondary branches exhibits the most substantial phenotypic coefficient of variation (PCV%) at 47.14%, accompanied by a genotypic coefficient of variation (GCV%) of 43.57%. Traits such as days to 50% flowering, plant height and number of filled grains per panicle manifest high heritability (97.04%, 91.24% and 76.22% respectively) and notable genetic advancement (23.11%, 39.62% and 47.49%). The principal component analysis identifies the primary component (PC1) as the principal contributor to variance. Biplot analysis accentuates positive correlations between attributes like the number of filled grains per panicle, panicle length, plant height, primary branch count, panicle weight, seeds per primary branch and the number of secondary branches with single plant yield. By employing Mahalanobis D2 statistics, the classification of genotypes into 6 distinct clusters reveals clusters III and IV as distinguished by their significant inter-cluster and intra-cluster distances. This comprehensive analysis unveils the potential for harnessing panicle architecture traits to enhance grain production and advances our comprehension of intricate relationships within diverse rice genotypes.
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水稻穗部结构性状与产量的变异参数及多样性评价
稻穗是水稻重要的生殖结构,标志着植物从营养生长向生殖生长的过渡。穗型结构由茎轴、一次枝和二次枝、种子数量和分枝长度等组成,对籽粒产量有着深远的影响。本研究深入研究了69个不同水稻基因型的穗结构性状多样性,并对变异参数进行了分析。我们的研究结果强调了基因型之间穗结构性状的实质性差异。特别值得注意的是变异系数最高的性状(CV%),包括二次枝数、单株产量、单株有效分蘖数、每次枝种子数和穗重。相关分析表明,穗重、每穗实粒数、千粒重与单株产量呈显著正相关。次生枝数的表型变异系数(PCV%)为47.14%,基因型变异系数(GCV%)为43.57%。开花至50%天数、株高和每穗实粒数的遗传力分别为97.04%、91.24%和76.22%,遗传先进性显著(23.11%、39.62%和47.49%)。主成分分析将主成分(PC1)识别为方差的主要贡献者。双图分析表明,每穗实粒数、穗长、株高、一次枝数、穗重、一次枝种子数和二次枝数与单株产量呈正相关。利用Mahalanobis D2统计数据,将基因型分为6个不同的集群,发现集群III和集群IV具有显著的集群间和集群内距离。这一综合分析揭示了利用穗结构性状提高粮食产量的潜力,并推进了我们对不同水稻基因型之间复杂关系的理解。
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来源期刊
Plant Science Today
Plant Science Today PLANT SCIENCES-
CiteScore
1.50
自引率
11.10%
发文量
177
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