Genotype-by-environment and QTL-by-environment interactions in sweet cherry (Prunus avium L.) for flowering date

Frontiers in Plant Science

Plant Science

Gregorio Lopez-Ortega¹  Daniela Giovannini²  Federica Brandi²  Anton Ivančič³  David Alletru⁴  Julien Parmentier⁴  Bénédicte Quilot-Turion⁵  José Quero-García⁶  Bénédicte Wenden⁶  Elisabeth Dirlewanger⁶  Camille Branchereau⁶  Loïck Le Dantec⁶  Federico Garcia-Montiel⁷  Craig Hardner⁸ 

[1] Atlantic Green, Ctra. Almonde El Rocio, Huelva, Spain;Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Research Centre for Olive, Fruit and Citrus Crops, Forli, Italy;Faculty of Agriculture and Life Sciences, University of Maribor, Hoce, Slovenia;INRAE, Unité Expérimentale (UE) 0393, Unité Expérimentale Arboricole, Toulenne, France;INRAE, Unité de Recherche (UR) 1052 GAFL, Montfavet, France;INRAE, Univ. Bordeaux, Unité Mixte de Recherche Biologie du Fruit et Pathologie (UMR BFP), Villenave d’Ornon, France;Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA), Instituto Murciano de Investigación, y Desarrollo Agrario y Alimentario, Murcia, Spain;Queensland Alliance for Agriculture and Food Innovation, The University of Queensland, Brisbane, QLD, Australia;

关键词: sweet cherry;    flowering;    genotype-by-environment interactions;    QTL;    QTL-by-environment interactions;   

DOI  :  10.3389/fpls.2023.1142974

 received in 2023-01-12, accepted in 2023-02-13,  发布年份 2023

来源: Frontiers

【 摘 要 】

In sweet cherry (Prunus avium L.), flowering date is strongly dependent on the environment conditions and, therefore, is a trait of major interest for adaptation to climate change. Such trait can be influenced by genotype-by-environment interaction (G×E), that refers to differences in the response of genotypes to different environments. If not taken into account, G×E can reduce selection accuracy and overall genetic gain. However, little is known about G×E in fruit tree species. Flowering date is a highly heritable and polygenic trait for which many quantitative trait loci (QTLs) have been identified. As for the overall genetic performance, differential expression of QTLs in response to environment (QTL-by-environment interaction, QTL×E) can occur. The present study is based on the analysis of a multi-environment trial (MET) suitable for the study of G×E and QTL×E in sweet cherry. It consists of a sweet cherry F1 full-sib family (n = 121) derived from the cross between cultivars ‘Regina’ and ‘Lapins’ and planted in two copies in five locations across four European countries (France, Italy, Slovenia and Spain) covering a large range of climatic conditions. The aim of this work was to study the effect of the environment on flowering date and estimate G×E, to carry QTL detection in different environments in order to study the QTL stability across environments and to estimate QTL×E. A strong effect of the environment on flowering date and its genetic control was highlighted. Two large-effect and environment-specific QTLs with significant QTL×E were identified on linkage groups (LGs) 1 and 4. This work gives new insights into the effect of the environment on a trait of main importance in one of the most economically important fruit crops in temperate regions. Moreover, molecular markers were developed for flowering date and a strategy consisting in using specific markers for warm or cold regions was proposed to optimize marker-assisted selection (MAS) in sweet cherry breeding programs.

【 授权许可】

Unknown   
Copyright © 2023 Branchereau, Hardner, Dirlewanger, Wenden, Le Dantec, Alletru, Parmentier, Ivančič, Giovannini, Brandi, Lopez-Ortega, Garcia-Montiel, Quilot-Turion and Quero-García