Chaves Saulo F S, Damacena Michelle B, Dias Kaio Olimpio G, de Almada Oliveira Caio Varonill, Bhering Leonardo L
Federal University of Viçosa, Department of Agronomy, Viçosa, MG, Brazil.
Bracell MS Florestal, Campo Grande, MS, Brazil.
Sci Rep. 2024 Aug 8;14(1):18429. doi: 10.1038/s41598-024-69299-2.
Understanding the genotype-by-environment interaction (GEI) and considering it in the selection process is a sine qua non condition for the expansion of Brazilian eucalyptus silviculture. This study's objective is to select high-performance and stable eucalyptus clones based on a novel selection index that considers the Factor Analytic Selection Tools (FAST) and the clone's reliability. The investigation explores the nuances interplay of GEI and extends its insights by scrutinizing the relationship between latent factors and real environmental features. The analysis, conducted across seven trials in five Brazilian states involving 78 clones, employs FAST. The clonal selection was performed using an extended FAST index weighted by the clone's reliability. Further insights about GEI emerge from the integration of factor loadings with 25 environmental features through a principal component analysis. Ten clones, distinguished by high performance, stability, and reliability, have been selected across the target population of environments. The environmental features most closely associated with factor loadings, encompassing air temperature, radiation, and soil characteristics, emerge as pivotal drivers of GEI within this dataset. This study contributes insights to eucalyptus breeders, equipping them to enhance decision-making by harnessing a holistic understanding-from the genotypes under evaluation to the diverse environments anticipated in commercial plantations.
了解基因型与环境的相互作用（GEI）并在选择过程中加以考虑，是巴西桉树造林业扩张的必要条件。本研究的目的是基于一种新颖的选择指数，选择高性能且稳定的桉树无性系，该指数考虑了因子分析选择工具（FAST）和无性系的可靠性。该调查探讨了GEI的细微相互作用，并通过审视潜在因子与实际环境特征之间的关系来拓展其见解。分析在巴西五个州的七个试验中进行，涉及78个无性系，采用了FAST。无性系选择使用了由无性系可靠性加权的扩展FAST指数。通过主成分分析将因子载荷与25个环境特征相结合，进一步揭示了GEI的相关信息。在目标环境群体中选出了10个无性系，其特点是高性能、稳定性和可靠性。在该数据集中，与因子载荷最密切相关的环境特征，包括气温、辐射和土壤特性，成为GEI的关键驱动因素。本研究为桉树育种者提供了见解，使他们能够通过利用从评估的基因型到商业种植园预期的各种环境的全面理解来加强决策。
