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Genotype x Environment Interaction Effects on Winter Rapeseed Yield and Oil Content

Statistical Programs
Div. of Plant Sciences, College of Agriculture. Univ. of Idaho, Moscow, ID 83843
Dep. of Agronomy, Texas Tech. Univ., M.S. 2122, Lubbock, TX 79409.

^* Corresponding author.

Since rapeseed (Brassica napus L. subsp, oleifera (Metzg.) Sinsk. biennis) is a relatively new crop in the USA, little is known about cultivar performance across diverse environments. During the 1986– 1987, 1987–1988 and 1988–1989 growing seasons, six cultivars of winter rapeseed were grown at 12, 16, and 17 locations across the USA, respectively. These genetically diverse cultivars were grown as controis in the U.S. Winter Rapeseed Variety Trial. Average seed yields across locations in these trials ranged from 0.727 to 6.287 Mg ha^–1 while oil contents in these trials ranged from 33.6 to 45.4%. Testing of winter rapeseed cultivars in different environments is important in evaluating yield and oil content stability to define performance and a range of adaptation. Our objective was to diagnose the genotype x environment (GE) interaction patterns for seed yield and oil content using the Additive Main effects and Multiplicative Interaction (AMMI) statistical model. Results indicated a significant GE interaction influenced the relative ranking of genotypes (cultivars) across environments. ‘Glacier’ had small interaction effects for both seed yield and oil content. ‘Bienvenu’ produced the highest average yield across 27 environments (2.487 Mg ha^–1). ‘Bridger’ had the highest percent oil content (40.9%), while Glacier and Bienvenu seemed more stable across 25 environments. Examination of the GE interaction structure revealed specific areas of the USA that could consistently produce competitive yields of high quality canola and industrial rapeseed if adapted cultivars were grown.

Received for publication July 25, 1991.

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