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Dataset Information

Identification of QTN-by-environment interactions for yield related traits in maize under multiple abiotic stresses.


ABSTRACT:

Introduction

Quantitative trait nucleotide (QTN)-by-environment interactions (QEIs) play an increasingly essential role in the genetic dissection of complex traits in crops as global climate change accelerates. The abiotic stresses, such as drought and heat, are the major constraints on maize yields. Multi-environment joint analysis can improve statistical power in QTN and QEI detection, and further help us to understand the genetic basis and provide implications for maize improvement.

Methods

In this study, 3VmrMLM was applied to identify QTNs and QEIs for three yield-related traits (grain yield, anthesis date, and anthesis-silking interval) of 300 tropical and subtropical maize inbred lines with 332,641 SNPs under well-watered and drought and heat stresses.

Results

SUBMITTER: Wen YJ 

PROVIDER: S-EPMC9975332 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature