A Pathway to Assess Genetic Variation of Wheat Germplasm by Multidimensional Traits with Digital Images.

ABSTRACT: In this paper, a new pathway was proposed to assess the germplasm genetic variation by multidimensional traits of wheat seeds generated from digital images. A machine vision platform was first established to reconstruct wheat germplasm 3D model from omnidirectional image sequences of wheat seeds. Then, multidimensional traits were conducted from the wheat germplasm 3D model, including seed length, width, thickness, surface area, volume, maximum projection area, roundness, and 2 new defined traits called cardioid-derived area and the index of adjustment (J index). To assess genetic variation of wheat germplasm, phenotypic coefficients of variation (PCVs), analysis of variance (ANOVA), clustering, and the defined genetic variation factor (GVF) were calculated using the extracted morphologica

SUBMITTER: Wu T 

PROVIDER: S-EPMC10665127 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature