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Marker-based crop model assisted ideotype design to improve avoidance of abiotic stress in bread wheat.

Abstract：

:Wheat phenology allows escaping from seasonal abiotic stresses including frosts and high temperatures, the latter being forecasted to increase with climate change. The use of marker-based crop models to identify ideotypes has been proposed to select genotypes adapted to specific weather and management conditions and anticipate climate changes. In this study, a marker-based crop model for wheat phenology was calibrated and tested. Climate analysis of 30 years of historical weather data in 72 locations representing the main wheat production areas in France was performed. Marker-based crop model simulations were carried out for 1019 wheat cultivars and three sowing dates and allowed calculating genotypic stress avoidance frequencies of frost and heat stress and identifying ideotypes. The phenology marker-based crop model allowed predicting large genotypic variations for the beginning of stem elongation (GS30) and heading date (GS55). Prediction accuracy was assessed using untested genotypes and environments and showed median genotype prediction errors of 8.5 and 4.2 days for GS30 and GS55, respectively. Climate analysis allowed defining a low risk period for each location based on the distribution of the last frost and first heat days. Clustering of locations showed three groups with contrasting levels of frost and heat risks. Marker-based crop model simulations showed the need to optimize genotype depending on sowing date, particularly in the high risk environments. An empirical validation of the approach showed that it holds good promises in order to improve frost and heat stress avoidance.

journal_name

J Exp Bot

journal_title

Journal of experimental botany

authors

Bogard M,Hourcade D,Piquemal B,Gouache D,Deswartes JC,Throude M,Cohan JP

doi

10.1093/jxb/eraa477

subject

Has Abstract

pub_date

2020-10-17 00:00:00

eissn

0022-0957

issn

1460-2431

pii

5928898

pub_type

杂志文章

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