Crop-model assisted phenomics and genome-wide association study for climate adaptation of indica rice. 2. Thermal stress and spikelet sterility
| Autor: | S Shrestha, Abdoulaye Sow, Jean Damo, Baboucarr Manneh, Louis-Marie Raboin, Julie Dusserre, Tobias Kretzschmar, Michaël Dingkuhn, Julie Pasuquin, Richard Pasco, Jean-Christophe Soulie |
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| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
0301 basic medicine Identification Candidate gene Linkage disequilibrium Hot Temperature Infertilité mâle Physiology Climate Adaptation Biological adaptation aux changements climatiques Plant Science 01 natural sciences F30 - Génétique et amélioration des plantes Genetics F63 - Physiologie végétale - Reproduction U10 - Informatique mathématiques et statistiques Tolérance à la chaleur food and beverages Senegal Phenotype Phénologie Modèle mathématique Génotype Locus des caractères quantitatifs P40 - Météorologie et climatologie Sterility Climate Change Oryza sativa Flowers Quantitative trait locus Biology Genes Plant Models Biological 03 medical and health sciences Botany Madagascar Cold acclimation Allele Tolérance au froid Genetic association Changement climatique Stress thermique Oryza Modèle de simulation 030104 developmental biology Gène H50 - Troubles divers des plantes U30 - Méthodes de recherche Genome-Wide Association Study 010606 plant biology & botany |
| Zdroj: | Journal of Experimental Botany |
| ISSN: | 1460-2431 0022-0957 |
| Popis: | Low night and high day temperatures during sensitive reproductive stages cause spikelet sterility in rice. Phenotyping of tolerance traits in the field is difficult because of temporal interactions with phenology and organ temperature differing from ambient. Physiological models can be used to separate these effects. A 203-accession indica rice diversity panel was phenotyped for sterility in ten environments in Senegal and Madagascar and climate data were recorded. Here we report on sterility responses while a companion study reported on phenology. The objectives were to improve the RIDEV model of rice thermal sterility, to estimate response traits by fitting model parameters, and to link the response traits to genomic regions through genome-wide association studies (GWAS). RIDEV captured 64% of variation of sterility when cold acclimation during vegetative stage was simulated, but only 38% when it was not. The RIDEV parameters gave more and stronger quantitative trait loci (QTLs) than index variables derived more directly from observation. The 15 QTLs identified at P |
| Databáze: | OpenAIRE |
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