Oat mega-environments and test-locations in Quebec

被引:2
|
作者
Yan, Weikai [1 ]
Pageau, Denis [2 ]
Fregeau-Reid, Judith [1 ]
Lajeunesse, Julie [2 ]
Goulet, Jean [3 ]
Durand, Julie [3 ]
Marois, Denis [4 ]
机构
[1] Agr & Agri Food Canada, Eastern Cereal & Oilseed Res Ctr, Ottawa, ON K1A 0C6, Canada
[2] Agr & Agri Food Canada, Soils & Crops Res & Dev Ctr, Normandin, PQ G8M 4K3, Canada
[3] SemiCan Inc, Plessisville, PQ G6L 2Y2, Canada
[4] Univ Laval, Quebec City, PQ G1V 0A6, Canada
关键词
Oat; biplot analysis; mega-environment; test location evaluation; TRIAL DATA;
D O I
10.4141/CJPS10139
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Yan, W., Pageau, D., Fregeau-Reid, J., Lajeunesse, J., Goulet, J., Durand, J. and Marois, D. 2011. Oat mega-environments and test-locations in Quebec. Can. J. Plant Sci. 91: 643-649. The Quebec agricultural regions have traditionally been divided into three zones. Zone I includes the small, southern most regions in the Montreal plain, zone 3 includes the large, discontinuous northern regions spreading from the west to the east of the province, and zone 2 includes areas between zone 1 and zone 3. Genotypic main effect (G) plus genotype-by-environment interaction (GGE) biplot analysis of the yield data from the Quebec Oat Registration and Recommendation trials during 2006-2009 revealed that the Quebec oat-growing regions can be divided into two distinct mega-environments: the small zone 1 region and the much larger zone 2 plus zone 3 regions. Due to the large genotype by mega-environment interactions, cultivar evaluation and recommendation must be conducted specifically to each mega-environment. However, a zone 3 test location, La Pocatiere, consistently behaved like a zone I location in terms of cultivar ranking. Therefore, La Pocatiere cannot be used to represent the zone 3 region, and cultivar recommendation for the regions represented by this location should be based on data from this location plus the zone 1 locations. In addition, climatic and soil data were examined in an attempt to explain this observation. The methodology adopted in this work may be of value to similar studies for other crops and in other regions.
引用
收藏
页码:643 / 649
页数:7
相关论文
共 49 条
  • [1] Oat mega-environments in Canada
    Yan, Weikai
    Mitchell-Fetch, Jennifer
    Beattie, Aaron
    Nilsen, Kirby T.
    Pageau, Denis
    DeHaan, Brad
    Hayes, Matthew
    Mountain, Nathan
    Cummiskey, Allan
    MacEachern, Dan
    CROP SCIENCE, 2021, 61 (02) : 1141 - 1153
  • [2] Identifying Mega-Environments and Essential Test Locations for Pearl Millet Cultivar Selection in India
    Gupta, S. K.
    Rathore, A.
    Yadav, O. P.
    Rai, K. N.
    Khairwal, I. S.
    Rajpurohit, B. S.
    Das, R. R.
    CROP SCIENCE, 2013, 53 (06) : 2444 - 2453
  • [3] Value of Locations for Representing Mega-Environments and for Discriminating Yield of Watermelon in the US
    Dia, Mahendra
    Wehner, Todd C.
    Hassell, Richard
    Price, Daniel S.
    Boyhan, George E.
    Olson, Stephen
    King, Stephen
    Davis, Angela R.
    Tolla, Gregory E.
    Bernier, Jerome
    Juarez, Benito
    CROP SCIENCE, 2016, 56 (04) : 1726 - 1735
  • [4] Exploring the trait-yield association patterns in different oat mega-environments of Canada
    Yan, Weikai
    Hadinezhad, Mehri
    Dehaan, Brad
    Hayes, Matt
    Orozovic, Savka
    Nilsen, Kirby T.
    MacEachern, Dan
    Telmosse, Genevieve
    Beattie, Aaron
    Booker, Helen
    Byker, Holly
    Cummiskey, Allan
    Morasse, Isabelle
    Mountain, Nathan
    Drummond, Melinda
    Zhang, Zhanghan
    Holzworth, Michael
    Durand, Julie
    Chen, Yuanhong
    CROP SCIENCE, 2023, 63 (06) : 3356 - 3366
  • [5] Identifying mega-environments and targeting genotypes
    Gauch, HG
    Zobel, RW
    CROP SCIENCE, 1997, 37 (02) : 311 - 326
  • [6] An application of vGWAS to differences in flowering time in maize across mega-environments
    Murphy, Matthew D.
    Lipka, Alexander E.
    CROP SCIENCE, 2023, 63 (05) : 2807 - 2817
  • [7] Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina
    Dardanelli, Julio L.
    Balzarini, Monica
    Martinez, Maria Jose
    Cuniberti, Martha
    Resnik, Silvia
    Ramunda, Silvina E.
    Herrero, Rosana
    Baigorri, Hector
    CROP SCIENCE, 2006, 46 (05) : 1939 - 1947
  • [8] Identifying mega-environments to enhance the use of superior rice genotypes in Panama
    Camargo-Buitrago, Ismael
    Quiros-Mc Intire, Evelyn
    Gordon-Mendoza, Roman
    PESQUISA AGROPECUARIA BRASILEIRA, 2011, 46 (09) : 1061 - 1069
  • [9] Variance component estimations and mega-environments for sweetpotato breeding in West Africa
    Swanckaert, Jolien
    Akansake, Daniel
    Adofo, Kwadwo
    Acheremu, Kwabena
    De Boeck, Bert
    Eyzaguirre, Raul
    Gruneberg, Wolfgang J.
    Low, Jan W.
    Campos, Hugo
    CROP SCIENCE, 2020, 60 (01) : 50 - 61
  • [10] Impact of the Removal of Genotypes on the Formation of Mega-Environments Based on GGE Biplots Analysis
    Batista, Tays Silva
    Peternelli, Luiz Alexandre
    Barbosa, Wagner Faria
    Carneiro, Antonio Policarpo Souza
    da Silva, Felipe Lopes
    JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS, 2024,