背景:通常,在农艺实验中评估了几个性状,以更好地了解所研究的因素。然而,同样常见的是,即使有几个特征可用,研究人员选择遵循最简单的方法,通过应用单变量分析和事后检验来比较每个特征的均值,这引起了这样的假设,即多特征框架分析的好处可能尚未在该领域得到充分利用。
结果:在本文中,我们扩展了多性状基因型-理想型距离指数(MGIDI)的理论基础,以在简单的实验中分析多变量数据(例如,单向布局,很少处理和特征)或复杂的实验(例如,具有阶乘处理结构)。我们提出了一种可选的加权过程,该过程使在具有较高权重的性状中脱颖而出的治疗方法的排名更有可能。使用(1)模拟数据和(2)来自草莓实验的真实数据来说明其应用,该实验旨在选择更好的因子组合(即,栽培品种,移植起源,和底物混合物)基于22物候的期望性能,生产,生理,和质量特征。我们的结果表明,大多数草莓性状受品种的影响,移植起源,栽培基质,以及品种和移植起源之间的相互作用。MGIDI将源自进口移植的Albion品种和源自国家移植的Camarosa品种列为更好的因子组合。以火烧稻壳为主要成分(70%)的基质表现出令人满意的物理特性,提供更高的用水效率。MGIDI提供的优势和劣势观点表明,寻找理想的治疗方法应该有助于增加进口来源的Albion移植的水果产量。另一方面,这种治疗具有与生产性早熟有关的优势,总可溶性固体,和肉的坚定。
结论:总体而言,这项研究为在植物育种背景之外使用MGIDI打开了大门,提供一个独特的,实用,健壮,和易于处理的基于多特征的框架来分析多变量数据。这是一个令人兴奋的可能性,可以开辟新的研究途径,主要是因为在未来的研究中使用MGIDI将大大减少所需的表格/数字的数量,作为指导研究人员提出更好治疗建议的有力工具。
BACKGROUND: Commonly, several traits are assessed in agronomic experiments to better understand the factors under study. However, it is also common to see that even when several traits are available, researchers opt to follow the easiest way by applying univariate analyses and post-hoc tests for mean comparison for each trait, which arouses the hypothesis that the benefits of a multi-trait framework analysis may have not been fully exploited in this area.
RESULTS: In this paper, we extended the theoretical foundations of the multi-trait genotype-ideotype distance index (
MGIDI) to analyze multivariate data either in simple experiments (e.g., one-way layout with few treatments and traits) or complex experiments (e.g., with a factorial treatment structure). We proposed an optional weighting process that makes the ranking of treatments that stands out in traits with higher weights more likely. Its application is illustrated using (1) simulated data and (2) real data from a strawberry experiment that aims to select better factor combinations (namely, cultivar, transplant origin, and substrate mixture) based on the desired performance of 22 phenological, productive, physiological, and qualitative traits. Our results show that most of the strawberry traits are influenced by the cultivar, transplant origin, cultivation substrates, as well as by the interaction between cultivar and transplant origin. The
MGIDI ranked the Albion cultivar originated from Imported transplants and the Camarosa cultivar originated from National transplants as the better factor combinations. The substrates with burned rice husk as the main component (70%) showed satisfactory physical proprieties, providing higher water use efficiency. The strengths and weakness view provided by the
MGIDI revealed that looking for an ideal treatment should direct the efforts on increasing fruit production of Albion transplants from Imported origin. On the other hand, this treatment has strengths related to productive precocity, total soluble solids, and flesh firmness.
CONCLUSIONS: Overall, this study opens the door to the use of
MGIDI beyond the plant breeding context, providing a unique, practical, robust, and easy-to-handle multi-trait-based framework to analyze multivariate data. There is an exciting possibility for this to open up new avenues of research, mainly because using the
MGIDI in future studies will dramatically reduce the number of tables/figures needed, serving as a powerful tool to guide researchers toward better treatment recommendations.