GGE Biplot/Stability Analyses of CIAT Common Bean Performance Trials. (S-kang154441-oral)
Authors:
M.S. Kang* - LSU AgCenter V.D. Aggarwal - CIAT
R.M. Chirwa - CIAT
Abstract:
Common bean (Phaseolus vulgaris L.) is the most important food legume for more than 300 million people in Latin America and in Africa. Multi-environment crop performance trials are expensive but essential to identify high yielding bean
cultivars. International Bean Yield and Adaptation Nursery of Centro Internacional de Agricultura Tropical (CIAT) data were used to assess the feasibility of GGE (G, genotype + GE, genotype-by-environment interaction) Biplot analysis to identify broadly and specifically adapted common bean cultivars and to identify
opportunities for fine-tuning the CIAT’s performance-testing program. Two
datasets selected from a total of eight datasets, one involving 15 cultivars tested at 13 locations (dataset 1) and the other involving 20 cultivars tested at 10 locations (dataset 2), were subjected to GGE biplot analyses. Analyses of variance revealed cultivar-by-location interactions to be significant. In dataset 1, locations sum of squares was 15.3 times larger than that for cultivars, and in dataset 2, it was 120 times larger. Cultivar-by-environment interaction was 22% and 75% of the sum of squares for cultivars in dataset 1 and 2, respectively. Large cultivar-(or
genotype)-by-environment interactions are not conducive to selection gains. In both dataset 1 and 2, GGE biplot analysis revealed inefficient and redundant test
locations (short vector lengths and small angles between vectors). Discarding such locations should save both time and money, thus, increasing the efficiency of CIAT’s bean improvement/testing program. Such savings should help advance CIAT’s mission that is to reduce hunger and poverty in the tropics through
collaborative research that improves agricultural productivity and natural resource management. The GGE biplot analyses proved to be useful in selecting both
broadly adapted and specifically adapted bean cultivars and in identifying inefficient, redundant locations.
Speaker Information: Manjit Kang, LSU AgCenter, Agronomy LSU AgCenter, Baton Rouge, LA 70803-2110; Phone: 225-578-2110; E-mail: [email protected]
