GENOTYPE × ENVIRONMENT INTERACTION BY GGE BIPLOT IN MANGO (Mangifera indica L.)
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Date
2021
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DRPCAU, PUSA
Abstract
Mango is one of the most important perennial fruit crop grown in India, with vast varieties. India has first position in mango production among the mango growing countries. Due to its taste and diverse uses it is known as “king of fruits”. The differential performance of a genotype in different environments is known as “Genotype × Environment Interaction”. Multi location trials are being carried out to study the behaviour of genotypes over different locations. Identification of stable genotypes of mango is important to increase the income of farmers. In present investigation an attempt has been made to identify stable genotypes of mango fruit crop from secondary data of multi-location trials collected from AICRP-STF and CISH, Lucknow. Data comprises of 16 genotypes grown in 4 locations over nine years have been analysed on Genotype × Environment interaction using GGE biplot. Two characters have been taken for the empirical analysis i.e. number of fruits per tree and fruit yield per tree. Results obtained by GGE biplot have been compared with results obtained by AMMI.
Sixteen genotypes common across 4 locations viz., Rewa, Sabour, Sangareddy and Vengurla over a period of nine years was considered for the analysis. These genotypes, locations and years were coded accordingly. On the basis of AMMI
analysis the superior genotypes were Totapari, Zardalu for Rewa; Kesar, Mankurad for Sabour; Suvarnarekha, Mankurad for Sangareddy; Alphanso, Totapari for Vengurla. AMMI analysis identified Zardalu as superior genotype for all four locations under study. Likewise, from GGE biplot analysis, genotypes Totapari, Neelum for Rewa; Kesar, Suvarnarekha for Sabour; Suvarnarekha, Mankurad for Sangareddy; Totapari, Bombai for Vengurla were found to be superior. GGE biplot analysis identified Totapuri as superior genotype for all four locations under study. Two mega environments have been identified based on GGE biplot analysis, the test locations Rewa and Sangareddy constitute first mega environment with Neelum as winner genotype; Vengurla and Sabour collectively forms second mega environment with Suvarnarekha as winner genotype. From the present study it is concluded that, GGE biplot analysis is a better approach for evaluating Genotype × environment interaction and identifying superior genotypes of mango fruit crop. Since, the interpretation of GGE biplots relatively to AMMI analysis is easier. “Which-won-where” view of GGE biplot facilitates to determine location specific genotypes which is challenging in AMMI analysis.