Back to Search Start Over

Genetic Variation for Cold Tolerance in Two Nested Association Mapping Populations

Authors :
Pedro Revilla
Ana Butrón
Víctor Manuel Rodriguez
Renaud Rincent
Alain Charcosset
Catherine Giauffret
Albrecht E. Melchinger
Chris-Carolin Schön
Eva Bauer
Thomas Altmann
Dominique Brunel
Jesús Moreno-González
Laura Campo
Milena Ouzunova
Ángel Álvarez
José Ignacio Ruíz de Galarreta
Jacques Laborde
Rosa Ana Malvar
Source :
Agronomy, Vol 13, Iss 1, p 195 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Cold reduces maize (Zea mays L.) production and delays sowings. Cold tolerance in maize is very limited, and breeding maize for cold tolerance is still a major challenge. Our objective was to detect QTL for cold tolerance at germination and seedling stages. We evaluated, under cold and control conditions, 919 Dent and 1009 Flint inbred lines from two nested association mapping designs consisting in 24 double-haploid populations, genotyped with 56,110 SNPs. We found a large diversity of maize cold tolerance within these NAM populations. We detected one QTL for plant weight and four for fluorescence under cold conditions, as well as one for plant weight and two for chlorophyll content under control conditions in the Dent-NAM. There were fewer significant QTL under control conditions than under cold conditions, and half of the QTL were for quantum efficiency of photosystem II. Our results supported the large genetic discrepancy between optimal and low temperatures, as the quantity and the position of the QTL were very variable between control and cold conditions. Furthermore, as we have not found alleles with significant effects on these NAM designs, further studies are needed with other experimental designs to find favorable alleles with important effects for improving cold tolerance in maize.

Details

Language :
English
ISSN :
20734395
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Agronomy
Publication Type :
Academic Journal
Accession number :
edsdoj.6738fd67c73f4d0d90e7b4c981929fa9
Document Type :
article
Full Text :
https://doi.org/10.3390/agronomy13010195