Increased power to dissect adaptive traits in global sorghum diversity using a nested association mapping population

Genetics

Volumn 206, Issue 2, 2017, Pages 573-585

  Bouchet, Sophie ^a,e   Olatoye, Marcus O ^a   Marla, Sandeep R ^a   Perumal, Ramasamy ^a,b   Tesso, Tesfaye ^a   Yu, Jianming ^c   Tuinstra, Mitch ^d   Morris, Geoffrey P ^a  

^a KANSAS STATE UNIVERSITY   (United States)

^b KANSAS STATE UNIVERSITY   (United States)

^c IOWA STATE UNIVERSITY   (United States)

^d PURDUE UNIVERSITY   (United States)

^e Diversity and Ecophysiology of Cereals   (France)

Author keywords

Adaptation; Genome wide association studies; Linkage mapping; MPP; Multiparental populations; Population structure; Quantitative trait loci

Indexed keywords

5' UNTRANSLATED REGION; ARTICLE; FLOWERING; GENE STRUCTURE; GENETIC VARIABILITY; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; GENOTYPE; NONHUMAN; PLANT GENETICS; PLANT HEIGHT; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; QUANTITATIVE TRAIT LOCUS; SEQUENCE ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; SORGHUM; CHROMOSOMAL MAPPING; FLOWER; GENETIC HETEROGENEITY; GENETIC LINKAGE; GENETICS; PHENOTYPE;

CHROMOSOME MAPPING; FLOWERS; GENETIC HETEROGENEITY; GENETIC LINKAGE; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; QUANTITATIVE TRAIT LOCI; SORGHUM;

EID: 85020264505     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.116.198499     Document Type: Article

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