High-throughput computer vision introduces the time axis to a quantitative trait map of a plant growth response

Genetics

Volumn 195, Issue 3, 2013, Pages 1077-1086

  Moore, Candace R ^a   Johnson, Logan S ^a   Kwak, Il Youp ^a   Livny, Miron ^a   Broman, Karl W ^b   Spalding, Edgar P ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALLELE; ARABIDOPSIS THALIANA; ARTICLE; CHROMOSOME 1; CHROMOSOME 3; CHROMOSOME 4; DNA MARKER; GENE MAPPING; GENETIC ANALYSIS; GENETIC LINKAGE; GENETIC VARIABILITY; GENOTYPE; GRAVITROPISM; HERITABILITY; HIGH THROUGHPUT COMPUTING; NONHUMAN; PHENOTYPE; PLANT GROWTH; PRIORITY JOURNAL; QUANTITATIVE TRAIT LOCUS; SEEDLING;

ARABIDOPSIS; NATURAL VARIATION; QTL; ROOT GRAVITROPISM;

ARABIDOPSIS; CHROMOSOME MAPPING; GENES, PLANT; GRAVITROPISM; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, GENETIC; PLANT ROOTS; QUANTITATIVE TRAIT LOCI; QUANTITATIVE TRAIT, HERITABLE; TIME FACTORS;

EID: 84887085019     PISSN: 00166731     EISSN: 19432631     Source Type: Journal    
DOI: 10.1534/genetics.113.153346     Document Type: Article

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