首页> 外文期刊>Frontiers in Plant Science >Utilization of Molecular, Phenotypic, and Geographical Diversity to Develop Compact Composite Core Collection in the Oilseed Crop, Safflower ( Carthamus tinctorius L.) through Maximization Strategy
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Utilization of Molecular, Phenotypic, and Geographical Diversity to Develop Compact Composite Core Collection in the Oilseed Crop, Safflower ( Carthamus tinctorius L.) through Maximization Strategy

机译:利用分子,表型和地理多样性,通过最大化策略开发油料作物红花( Carthamus tinctorius L。)中紧凑的复合核心种质

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Safflower ( Carthamus tinctorius L.) is a dryland oilseed crop yielding high quality edible oil. Previous studies have described significant phenotypic variability in the crop and used geographical distribution and phenotypic trait values to develop core collections. However, the molecular diversity component was lacking in the earlier collections thereby limiting their utility in breeding programs. The present study evaluated the phenotypic variability for 12 agronomically important traits during two growing seasons (2011–12 and 2012–13) in a global reference collection of 531 safflower accessions, assessed earlier by our group for genetic diversity and population structure using AFLP markers. Significant phenotypic variation was observed for all the agronomic traits in the representative collection. Cluster analysis of phenotypic data grouped the accessions into five major clusters. Accessions from the Indian Subcontinent and America harbored maximal phenotypic variability with unique characters for a few traits. MANOVA analysis indicated significant interaction between genotypes and environment for both the seasons. Initially, six independent core collections (CC1–CC6) were developed using molecular marker and phenotypic data for two seasons through POWERCORE and MSTRAT. These collections captured the entire range of trait variability but failed to include complete genetic diversity represented in 19 clusters reported earlier through Bayesian analysis of population structure (BAPS). Therefore, we merged the three POWERCORE core collections (CC1–CC3) to generate a composite core collection, CartC1 and three MSTRAT core collections (CC4–CC6) to generate another composite core collection, CartC2. The mean difference percentage, variance difference percentage, variable rate of coefficient of variance percentage, coincidence rate of range percentage, Shannon's diversity index, and Nei's gene diversity for CartC1 were 11.2, 43.7, 132.4, 93.4, 0.47, and 0.306, respectively while the corresponding values for CartC2 were 9.3, 58.8, 124.6, 95.8, 0.46, and 0.301. Each composite core collection represented the complete range of phenotypic and genetic variability of the crop including 19 BAPS clusters. This is the first report describing development of core collections in safflower using molecular marker data with phenotypic values and geographical distribution. These core collections will facilitate identification of genetic determinants of trait variability and effective utilization of the prevalent diversity in crop improvement programs.
机译:红花(红花(Carthhamus tinctorius L.))是一种旱地油料作物,可生产优质食用油。先前的研究已经描述了作物中明显的表型变异性,并使用地理分布和表型性状值来开发核心品种。但是,早期的采集中缺少分子多样性成分,因此限制了它们在育种程序中的实用性。本研究评估了两个生长季节(2011-12和2012-13)在全球531个红花种质参考集中的12个重要农艺性状的表型变异性,该研究小组较早时使用AFLP标记对遗传多样性和种群结构进行了评估。在代表性的集合中观察到所有农艺性状的显着表型变异。表型数据的聚类分析将这些种分为五个主要的聚类。印度次大陆和美国的种质具有最大的表型变异性,具有一些性状的独特特征。 MANOVA分析表明两个季节的基因型和环境之间存在显着的相互作用。最初,使用POWERCORE和MSTRAT的两个季节的分子标记和表型数据开发了六个独立的核心馆藏(CC1-CC6)。这些集合捕获了性状变异的整个范围,但未能包括通过贝叶斯人口结构分析(BAPS)先前报道的19个聚类所代表的完整遗传多样性。因此,我们合并了三个POWERCORE核心集合(CC1-CC3)以生成复合核心集合CartC1和三个MSTRAT核心集合(CC4-CC6)以生成另一个复合核心集合CartC2。 CartC1的平均差异百分比,方差差异百分比,方差系数可变率百分比,范围百分比符合率,Shannon多样性指数和Nei基因多样性分别为CartC1,分别为11.2、43.7、132.4、93.4、0.47和0.306。 CartC2的相应值分别为9.3、58.8、124.6、95.8、0.46和0.301。每个复合核心集代表了包括19个BAPS簇在内的农作物的表型和遗传变异的完整范围。这是第一份报告,该报告使用具有表型值和地理分布的分子标记数据描述了红花中核心菌种的发育。这些核心收藏将有助于鉴定性状变异的遗传决定因素,并有助于在作物改良计划中有效利用普遍存在的多样性。

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