Summary
The objectives of the present study were to evaluate the genotype-environment interaction (GxE) in a temperate region of rice (Oryza sativa L.) using a low number of environments and to compare the Joint Regression Analysis (JRA) and AMMI (additive main effects and multiplicative interactions) methods in the quantification of GxE.
Grain yield (GY) of commercial genotypes and inbreed lines of rice sowing in Argentina were used. GxE and the environment sum of square (SS) was highly significant (p<0.001), meaning while genotype SS was non- significant. Regression heterogeneity of JRA was non-significant explaining only 16,8 % of SS. The first axis of principal component analysis of AMMI explained 73% of interactions SS. The AMMI model retained 70.62 % of the total SS, while only 57.9 % was explained by JRA. The AMMI model was more efficient that JRA to evaluate GxE in rice under low number of environments. Both, registered low radiation and temperature values near crop anthesis appear related to high expression of GxE in this marginal region. The growing cycle of genotypes is an important factor to take into account in the objectives of rice breeding program for temperate zones.
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Asenjo, C.A., Bezus, R. & Acciaresi, H.A. Genotype-Environment interactions in rice (Oryza sativa L.) in temperate region using the Joint Regression Analysis and AMMI methods. CEREAL RESEARCH COMMUNICATIONS 31, 97–104 (2003). https://doi.org/10.1007/BF03543255
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DOI: https://doi.org/10.1007/BF03543255