Crop-model assisted phenomics and genome-wide association study for climate adaptation of indica rice. 1. Phenology

التفاصيل البيبلوغرافية
العنوان: Crop-model assisted phenomics and genome-wide association study for climate adaptation of indica rice. 1. Phenology
المؤلفون: Baboucarr Manneh, Alpha Bocar Balde, S Shrestha, Michaël Dingkuhn, Abdoulaye Sow, Jean-Christophe Soulie, Jean Damo, Richard Pasco, Julie Dusserre, Tobias Kretzschmar, Louis-Marie Raboin, Julie Pasuquin
المصدر: Journal of Experimental Botany
بيانات النشر: Oxford University Press (OUP), 2017.
سنة النشر: 2017
مصطلحات موضوعية: 0106 biological sciences, 0301 basic medicine, Identification, Infertilité mâle, Physiology, Climate, Adaptation, Biological, adaptation aux changements climatiques, Plant Science, 01 natural sciences, F30 - Génétique et amélioration des plantes, chemistry.chemical_compound, Phenomics, Floraison, Photopériodicité, photoperiodism, F63 - Physiologie végétale - Reproduction, U10 - Informatique, mathématiques et statistiques, Phenology, food and beverages, Senegal, Phenotype, Seasons, Phénologie, Florigen, Modèle mathématique, Génotype, DNA, Plant, P40 - Météorologie et climatologie, Climate Change, F60 - Physiologie et biochimie végétale, Oryza sativa, Flowers, Quantitative trait locus, Biology, Genes, Plant, Models, Biological, 03 medical and health sciences, Madagascar, Cold acclimation, Tolérance au froid, Changement climatique, Polymorphism, Genetic, fungi, Oryza, Modèle de simulation, Température, 030104 developmental biology, chemistry, Agronomy, Gène, Adaptation, Genome-Wide Association Study, 010606 plant biology & botany
الوصف: Phenology and time of flowering are crucial determinants of rice adaptation to climate variation. A previous study characterized flowering responses of 203 diverse indica rices (the ORYTAGE panel) to ten environments in Senegal (six sowing dates) and Madagascar (two years and two altitudes) under irrigation in the field. This study used the physiological phenology model RIDEV V2 to heuristically estimate component traits of flowering such as cardinal temperatures (base temperature (Tbase) and optimum temperature), basic vegetative phase, photoperiod sensitivity and cold acclimation, and to conduct a genome-wide association study for these traits using 16 232 anonymous single-nucleotide polymorphism (SNP) markers. The RIDEV model after genotypic parameter optimization explained 96% of variation in time to flowering for Senegal alone and 91% for Senegal and Madagascar combined. The latter was improved to 94% by including an acclimation parameter reducing Tbase when the crop experienced low temperatures during early vegetative development. Eighteen significant (P
وصف الملف: text
تدمد: 1460-2431
0022-0957
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::138144a8e77ba834b9fd8dbda0a7db6a
https://doi.org/10.1093/jxb/erx249
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....138144a8e77ba834b9fd8dbda0a7db6a
قاعدة البيانات: OpenAIRE