The effect of environmental variables on the genotyping-by-environment interaction in blueberry

IF 1.6 3区 农林科学 Q2 AGRONOMY Euphytica Pub Date : 2024-06-22 DOI:10.1007/s10681-024-03364-9
Paul M. Adunola, Luis Felipe V. Ferrão, Camila F. Azevedo, Gerardo H. Nunez, Patricio R. Munoz
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Abstract

Blueberry (Vaccinium corymbosum) has an important role in the global market, with consumption increasing steadily in the past decades. Adapted to multiple environments, a relevant question when investigating fruit quality attributes is the performance of different genotypes over multiple environmental conditions. In this study, we hypothesize that the use of environmental covariables (ECs) can improve the understanding of genotype-by-environment interaction and guide breeders’ decisions. To test it, we used twenty-four genotypes, evaluated across five harvest seasons (2018–2022) in four mega-environments in Florida (Citra FL, Central-North FL, Central FL and South FL), and investigated the impact of twenty-one environmental covariables on the phenotypic expression of five fruit quality traits (weight, total soluble solids, total titratable acidity, firmness, and size). Our contributions in this study are three: (I) first, we identified important temporal windows affecting the phenotypic plasticity for multiple traits; (II) using the environmental covariables, we draw attention on the importance of ECs that characterize the mega-environments and use such information in a mixed model framework to explain the genotype-by-environment interaction; and finally (III) we used linear regression (in the form of Finlay-Wilkinson regression) to estimate adaptability and stability metrics to select promising genotypes. Overall, these findings offer insights into the utility of environmental variables in explaining genotype stability and plasticity, thus, providing a framework to enhance predictive responses and optimize resource allocation in blueberry breeding.

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环境变量对蓝莓基因分型与环境相互作用的影响
蓝莓(Vaccinium corymbosum)在全球市场中占有重要地位,其消费量在过去几十年中稳步增长。蓝莓适应多种环境,在研究水果品质属性时,一个相关的问题是不同基因型在多种环境条件下的表现。在本研究中,我们假设使用环境协变量(ECs)可以提高对基因型与环境相互作用的理解,并为育种者的决策提供指导。为了验证这一假设,我们使用了二十四个基因型,在佛罗里达州的四个特大环境(佛罗里达州的 Citra、佛罗里达州的中部-北部、佛罗里达州的中部和佛罗里达州的南部)中进行了五个收获季节(2018-2022 年)的评估,并研究了二十一个环境协变量对五个果实品质性状(重量、总可溶性固形物、总滴定酸度、紧实度和大小)表型表达的影响。我们在本研究中的贡献有三:(I)首先,我们确定了影响多个性状表型可塑性的重要时间窗口;(II)利用环境协变量,我们提请注意表征巨型环境的 EC 的重要性,并在混合模型框架中利用这些信息来解释基因型与环境之间的相互作用;最后(III)我们利用线性回归(Finlay-Wilkinson 回归形式)来估计适应性和稳定性指标,以筛选出有潜力的基因型。总之,这些研究结果深入揭示了环境变量在解释基因型稳定性和可塑性方面的作用,从而为蓝莓育种中加强预测反应和优化资源分配提供了一个框架。
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来源期刊
Euphytica
Euphytica 农林科学-农艺学
CiteScore
3.80
自引率
5.30%
发文量
157
审稿时长
4.5 months
期刊介绍: Euphytica is an international journal on theoretical and applied aspects of plant breeding. It publishes critical reviews and papers on the results of original research related to plant breeding. The integration of modern and traditional plant breeding is a growing field of research using transgenic crop plants and/or marker assisted breeding in combination with traditional breeding tools. The content should cover the interests of researchers directly or indirectly involved in plant breeding, at universities, breeding institutes, seed industries, plant biotech companies and industries using plant raw materials, and promote stability, adaptability and sustainability in agriculture and agro-industries.
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