Abstract

Genotype selection based on multiple traits is a key issue in plant breeding; it has been dependent on setting a subjective weight for each trait in index selection and a subjective truncation point for each trait in independent culling, and the weights and truncation points can be highly subjective. In this paper we proposed and demonstrated a novel approach for genotype selection based on multiple traits, the genotype by yield*trait (GYT) biplot, where “trait” can be any breeding objective other than yield; it may be an agronomic trait, a grain quality, processing quality, or nutritional quality trait, or a disease resistance. The GYT biplot ranks genotypes based on their levels in combining yield with other target traits and at the same time shows their trait profiles, i.e., their strengths and weaknesses. Compared to existing methods, this approach is graphical, objective, effective, and straightforward. Underlying the GYT biplot approach is the paradigm shift that genotypes should be evaluated by their levels in combining yield with other traits as opposed to by their levels in individual traits. An oat dataset from multi-year multi-locations trials was used to demonstrate the GYT biplot approach.

Highlights

  • The current paper addresses the second challenge, i.e., genotype evaluation based on multiple traits

  • The genotype by trait (GT) data presented in Table 1 are trait means for each of 26 genotypes tested across 30 trials at nine Quebec locations plus one Ontario location in 2015 to 2017

  • Numerous papers have been published and continue to be published on GE analysis of single traits, publications on genotype evaluation based on multiple traits are few

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Summary

Introduction

The current paper addresses the second challenge, i.e., genotype evaluation based on multiple traits. A genotype by yield*trait (GYT) biplot approach is proposed in this paper to tackle the problem of genotype evaluation on multiple traits. It is based on the following conceptualization. The average tester coordination (ATC) view[9] of the GYT biplot is employed to rank genotypes based on their overall superiority across the yield-trait combinations and to show their trait profiles (i.e., strengths and weaknesses), which serves as the basis for genotype evaluation and recommendation. It will be shown that complicated associations exist among these traits and the GYT biplot makes it easy to rank oat genotypes based on their levels of combining yield and other target traits and at the same time to show their strengths and/or weaknesses

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