Genome-wide prediction methods for detecting genetic effects of donor chromosome segments in introgression populations

BMC Genomics

Volumn 15, Issue 1, 2014, Pages

  Falke, Karen Christin ^a,d   Mahone, Gregory S ^a   Bauer, Eva ^b   Haseneyer, Grit ^b   Miedaner, Thomas ^c   Breuer, Frank ^e   Frisch, Matthias ^a  

^a JUSTUS LIEBIG UNIVERSITY   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c UNIVERSITY OF HOHENHEIM   (Germany)

^d UNIVERSITY OF MÜNSTER   (Germany)

^e KWS SAAT SE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

GLUCOSINOLATE; LINOLENIC ACID;

AMPLIFIED FRAGMENT LENGTH POLYMORPHISM; ARTICLE; COMPUTER SIMULATION; DONOR; DONOR CHROMOSOME SEGMENT; FALSE POSITIVE RESULT; GENETIC VARIABILITY; GENOME WIDE PREDICTION; INTROGRESSION; NONHUMAN; PHENOTYPIC VARIATION; PLANT BREEDING; PLANT CHROMOSOME; PLANT HEIGHT; PREDICTION; RAPESEED; RECIPIENT; RYE; STATISTICAL ANALYSIS; BIOLOGICAL MODEL; BREEDING; CHROMOSOME; CROP; GENETIC ASSOCIATION; HUMAN;

BREEDING; CHROMOSOMES; CROPS, AGRICULTURAL; GENOME-WIDE ASSOCIATION STUDY; HUMANS; MODELS, GENETIC;

EID: 84907294446     PISSN: None     EISSN: 14712164     Source Type: Journal    
DOI: 10.1186/1471-2164-15-782     Document Type: Article

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