Soybean Root System Architecture Trait Study through Genotypic, Phenotypic, and Shape-Based Clusters.

ABSTRACT: We report a root system architecture (RSA) traits examination of a larger scale soybean accession set to study trait genetic diversity. Suffering from the limitation of scale, scope, and susceptibility to measurement variation, RSA traits are tedious to phenotype. Combining 35,448 SNPs with an imaging phenotyping platform, 292 accessions (replications = 14) were studied for RSA traits to decipher the genetic diversity. Based on literature search for root shape and morphology parameters, we used an ideotype-based approach to develop informative root (iRoot) categories using root traits. The RSA traits displayed genetic variability for root shape, length, number, mass, and angle. Soybean accessions clustered into eight genotype- and phenotype-based clusters and displayed similarity. Genotype

SUBMITTER: Falk KG 

PROVIDER: S-EPMC7706349 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature