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Tomato Phenotypic Diversity Determined by Combined Approaches of Conventional and High-Throughput Tomato Analyzer Phenotyping

机译:常规和高通量番茄分析仪表型联合方法确定的番茄表型多样性

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摘要

Morphological variation in vegetative and fruit traits is a key determinant in unraveling phenotypic diversity. This study was designed to assess phenotypic diversity in tomatoes and examine intra- and intervarietal groups’ variability using 28 conventional descriptors (CDs) and 47 Tomato Analyzer (TA) descriptors related to plant and fruit morphometry. Comprehensive phenotyping of 150 accessions representing 21 countries discerned noticeable variability for CD vegetative traits and TA quantified fruit features, such as shape, size, and color. Hierarchical cluster analysis divided the accessions into 10 distinct classes based on fruit shape and size. Multivariate analysis was used to assess divergence in variable traits among populations. Eight principal components with an eigenvalue >1 were identified by factor analysis, which contributed 87.5% variation to the total cumulative variance with the first two components contributing 32.0% and 18.1% variance, respectively. The relationship between vegetative and fruit descriptors was explained by respective CD and TA correlation networks. There was a strong positive correlation between fruit shape and size whereas negative correlations were between fruit shape index, internal eccentricity, and proximal end shape. The combined approach of CD and TA phenotyping allowed us to unravel the phenotypic diversity of vegetative and reproductive trait variation evaluated at pre- and post-harvest stages.
机译:营养和水果性状的形态变异是决定表型多样性的关键决定因素。这项研究旨在评估番茄的表型多样性,并使用28个与植物和水果形态相关的常规描述符(CD)和47个番茄分析仪(TA)描述符检查品种间和品种间的变异性。代表21个国家的150个种质的综合表型鉴定出CD营养性状和TA定量果实特征(例如形状,大小和颜色)的显着变异。层次聚类分析根据果实的形状和大小将种质分为10个不同的类别。多变量分析用于评估人群中不同性状的差异。通过因子分析确定了特征值> 1的八个主要成分,它们对总累积方差的贡献为87.5%,而前两个成分分别贡献了32.0%和18.1%的方差。营养和水果描述符之间的关系由相应的CD和TA相关网络解释。果实形状和大小之间存在很强的正相关,而果实形状指数,内部偏心率和近端形状之间存在负相关。 CD和TA表型的组合方法使我们能够揭示在收获前和收获后阶段评估的营养和生殖性状变异的表型多样性。

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