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Oat mega‐environments in Canada
Author(s) -
Yan Weikai,
MitchellFetch Jennifer,
Beattie Aaron,
Nilsen Kirby T.,
Pageau Denis,
DeHaan Brad,
Hayes Matthew,
Mountain Nathan,
Cummiskey Allan,
MacEachern Dan
Publication year - 2021
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.1002/csc2.20426
Subject(s) - biplot , avena , biology , cultivar , perennial plant , rust (programming language) , variety (cybernetics) , agronomy , new variety , stem rust , botany , genotype , statistics , mathematics , computer science , biochemistry , gene , programming language
Genotype × environment interaction (GE) is a perennial problem in plant breeding and must be dealt with. Dealing with GE starts with differentiation of repeatable GE from unrepeatable GE in a target region. Repeatable GE can be used by dividing the target region into mega‐environments (MEs) and breeding ME‐specific cultivars, and unrepeatable GE must be accommodated by testing adequately within a ME. This study applied LG (location‐grouping) biplot analysis to several datasets from multiyear oat ( Avena sativa L.) variety trials conducted at locations across Canada. Analysis showed that the oat growing regions in Canada can be divided into three MEs: the crown rust ( Puccinia coronata Corda f. sp. avenae Eriks.) prone regions in southern and eastern Ontario (ME1), other regions in eastern Canada (ME2), and the Canadian Prairies (ME3). In addition, two sub‐MEs existed within ME2. Latitude was shown to be the main factor for the ME differentiation. The results suggest that oat variety trials should be conducted and cultivar recommendation be made according to MEs, as opposed to by administrative regions that are currently in place.