Vitor Seiti Sagae, Noé Mitterhofer Eiterer Ponce de Leon da Costa, M. Suela, D. Ferreira, A. C. Nascimento, C. Azevedo, Felipe Lopes da Silva, Moysés Nascimento
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Genomic Prediction of Root Traits via Aerial Traits in Soybean Using Canonical Variables
The phenotypic evaluation of root traits in soybeans presents challenges in breeding due to its high cost and the requirement for experimental plot destruction. Establishing relationships between aerial and root traits is crucial, given the relative ease of phenotypic evaluations for aerial traits. Therefore, this study aims to utilize the canonical correlation technique to estimate latent variables, subsequently employing GBLUP for the genomic prediction of the root traits (length, volume, surface area, and dry mass) using phenotypic information from aerial part traits (hypocotyl diameter and dry mass). Our results demonstrate the effectiveness of the technique in predicting the root part, even when not directly evaluated. The agreement observed between the top 10% of individuals selected based on the canonical variable and each root trait individually was considered moderate or substantial. This enables the simultaneous selection of genotypes based on both trait groups, providing a valuable approach for soybean breeding programs.
期刊介绍:
The International Journal of Plant Biology is an Open Access, online-only, peer-reviewed journal that considers scientific papers in all different subdisciplines of plant biology, such as physiology, molecular biology, cell biology, development, genetics, systematics, ecology, evolution, ecophysiology, plant-microbe interactions, mycology and phytopathology.