GGE biplot analysis of multi-environment yield trials of rice produced in a temperate climate

Gabriel Donoso-Ñanculao1*, Mario Paredes1, Viviana Becerra1, Camila Arrepol1, and Mónica Balzarini2
Low temperature is one of the main environmental constraints for rice (Oryza sativa L.) grain production yield. It is known that multi-environment studies play a critical role in the sustainability of rice production across diverse environments. However, there are few studies based on multi-environment studies of rice in temperate climates. The aim was to study the performance of rice plants in cold environments. Four experimental lines and six cultivars were evaluated at three locations during three seasons. The grain yield data were analyzed with ANOVA, mixed models based on the best linear unbiased predictors (BLUPs), and genotype plus genotype × environment interaction (GGE) biplot. High genotype contribution (> 25%) was observed in grain yield and the interaction between genotype and locations was not very important. Results also showed that ‘Quila 241319’ was the best experimental line with the highest grain yield (11.3 t ha-1) and grain yield stability across the environments; commercial cultivars were classified as medium grain yield genotypes.
Keywords: BLUPs, GGE biplot, temperate rice, yield stability.
1Instituto de Investigaciones Agropecuarias, INIA Quilamapu, Av. Vicente Méndez 515, Chillán, Chile. *Corresponding author (gabriel.donoso@inia.cl).
2Universidad Nacional de Córdoba, Facultad de Ciencias Agropecuarias, Avenida Enrique Barros esq. Los Nogales, Ciudad Universitaria, CP 5000, Córdoba, Argentina.