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Modeling developmental growth stages in mango on the basis of absolute vs. relative growth rates

机译:基于绝对对比的芒果中的发育生长阶段建模

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Plant development, the change in plant structure, and growth, the increase of organ size over time are often studied as two separate processes. The concept of developmental growth stages has been recently proposed in mango to integrate both morphological traits and growth measurements. These stages rely on a strong match between developmental (i.e., phenological) stages and growth stages deduced from absolute growth rate (AGR) sequences. In this study, we explore growth stages deduced from relative growth rate (RGR) sequences. For a given mango cultivar (Cogshall or José) and either growth units (GUs) or inflorescences, a multistage model based on RGR sequences was first built. Growth stages deduced from this model were then compared with developmental stages determined visually. For GUs, the match rates between RGR-based stages and developmental stages were similar to the match rates between AGR-based stages and developmental stages, because of the rich information provided by the four organs modeled (the axis and three selected leaves). The match rates were far lower for the inflorescences where only the main axis was modeled. This is related to the fact that, compared to AGRs, RGRs amplify the variations at the beginning of growth of an organwhile damping the variations at the end of growth. This explains the low match rates at the end of inflorescence growth. In plant growth studies, RGRs are often preferred to AGRs with the objective to take account of sink strength and to abstract from the effect of organ size. This latter argument is not relevant in our case since our probabilistic multistage model intrinsically abstracts from the organ size and only relies on the overlap of growth rate distributions for successive stages.
机译:植物开发,植物结构的变化和增长,随着时间的推移,器官尺寸的增加通常是两个单独的过程。最近在芒果中提出了发育成长阶段的概念,以整合形态特征和生长测量。这些阶段依赖于从绝对生长速率(AGR)序列所推出的发育(即酚类)阶段和生长阶段之间的强匹配。在这项研究中,我们探索了从相对生长速率(RGR)序列所引用的增长阶段。对于给定的芒果品种(COGSHALL或JOSÉ)和生长单位(GUS)或花序,首先构建了一种基于RGR序列的多级模型。然后将从该模型推断的生长阶段与视觉上确定的发育阶段进行比较。对于GUS,基于RGR的阶段和发展阶段之间的匹配率类似于AGR的阶段和发展阶段之间的匹配速率,因为由模型的四个器官提供的丰富信息(轴和三个选定的叶子)提供。对于仅建模主轴的花序,匹配率远低得多。这与该事实有关,与AGRS相比,RGRS放大了有机体的生长开始时的变化,这些变化阻尼在生长结束时变化。这解释了花序生长结束时的低匹配速率。在植物生长研究中,RGR通常是优选的,以占据陷阱强度的目的,并从器官尺寸的影响中摘要。由于我们的概率多阶段模型从器官尺寸的本质上摘要,后一种论点在我们的情况下不相关,并且只依赖于连续阶段的生长速率分布重叠。

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