Evolution of flowering time in experimental wheat populations: A comprehensive approach to detect genetic signatures of natural selection

Evolution

Volumn 64, Issue 7, 2010, Pages 2110-2125

  Rhoné, Bénédicte ^a,b   Vitalis, Renaud ^c   Goldringer, Isabelle ^a   Bonnin, Isabelle ^a,d  

^a INRA Institut National de la Recherche Agronomique   (France)

^b UNIVERSITÉ PARIS SACLAY   (France)

^c CNRS   (France)

^d Domain du Petit Arbois   (France)

Author keywords

Adaptation; Candidate genes; Diversifying selection; Genetic differentiation; Triticum aestivum L.

Indexed keywords

TRITICUM AESTIVUM;

MICROSATELLITE DNA;

ADAPTATION; ARTICLE; BIOLOGICAL MODEL; CLIMATE; COMPUTER SIMULATION; ENVIRONMENT; EVOLUTION; FLOWER; FRANCE; GENE FREQUENCY; GENETIC SELECTION; GENETICS; GROWTH, DEVELOPMENT AND AGING; QUANTITATIVE TRAIT; WHEAT;

ADAPTATION, BIOLOGICAL; CLIMATE; COMPUTER SIMULATION; ENVIRONMENT; EVOLUTION; FLOWERS; FRANCE; GENE FREQUENCY; MICROSATELLITE REPEATS; MODELS, GENETIC; QUANTITATIVE TRAIT, HERITABLE; SELECTION, GENETIC; TRITICUM;

EID: 78349270191     PISSN: 00143820     EISSN: 15585646     Source Type: Journal    
DOI: 10.1111/j.1558-5646.2010.00970.x     Document Type: Article

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