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J.A. Sullivan, Weikai Yan and J.P. Privé

Primocane-fruiting (PF) red raspberry (Rubus idaeus L.) cultivars are being grown in many regions as their popularity increases. However, testing of this perennial fruit crop is expensive and requires many years. Large genotype (G) × environment (E) interactions can make identification of superior genotypes difficult. The G/G × E (GGE) biplot can be used to measure cultivar performance and group locations into mega-environments. The GGE biplot was applied to yield trial data of three PF red raspberry cultivars Autumn Bliss, Heritage, and Redwing grown in 17 environments (year-location combinations). The 17 environments encompassed six locations in Ontario and Quebec, Canada between 1989 and 1996. `Autumn Bliss' produced the highest yields in 11 of 17 environments. `Heritage' was usually the lowest yielding cultivar. Two mega-environments were identified based on the performance of `Autumn Bliss' and `Redwing'. Some environmental variables were likely to be responsible for the discriminating ability of the test environments as they were correlated with the primary effects. The GGE biplot was an effective analysis to determine mega-environments and the cultivars best adapted to each.

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Fekadu Fufa Dinssa, Peter Hanson, Dolores R. Ledesma, Ruth Minja, Omary Mbwambo, Mansuet Severine Tilya and Tsvetelina Stoilova

multiplicative interaction (AMMI) analysis based on two significant interaction principal component axes (IPCAs) measured on 26 amaranth entries evaluated during wet-cool season and hot-dry season of Tanzania in 2016–17. Mega-environment identification. Figure 3

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Abbas Lafta, Thomas Turini, German V. Sandoya and Beiquan Mou

are visualized by the polygon view of the biplot ( Yan and Kang, 2003 ). Two mega environments are indicated based on yield ( Fig. 1A ). The first mega environment was P55 with ‘Hacienda’ as the best genotype that showed the highest yield; cultivars

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test sites. They found that seasons explained 52.1%, varieties 24.9%, and locations 23.0% of the observed variation. Hot-dry season trials demonstrated 47.3% greater yield than wet-cool season trials. Two mega-environments were identified, one with

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Adriano dos Santos, Francisco Eduardo Torres, Erina Vitório Rodrigues, Ariane de Andréa Pantaleão, Larissa Pereira Ribeiro Teodoro, Leonardo Lopes Bhering and Paulo Eduardo Teodoro

Tinker, 2006 ). Genotype G15 (MNC99542F-5) was located in one of the vertices of the polygon in mega-environment 1, which was the most favorable for that group of environments, as well as genotype G11 (MNC00-553D-8-1-2-2) in sector 3 and genotype G14 (EV

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Yansheng Li, Ming Du, Qiuying Zhang, Guanghua Wang, Jian Jin, Stephen Herbert and Xiaobing Liu

. Baigorri, H. 2006 Soybean maturity groups, environments, and their interaction define mega-environments for seed composition in Argentina Crop Sci. 46 1939 1947 De Bruin, J.L. Pedersen, P. 2008 Soybean seed yield response to planting date and seeding rate