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Abstract
Aim:
To understand the magnitude and pattern of genotype-environment interaction
in vegetable type soybeans and to identify mega environment(s) and best
performing genotype(s) across environments.
Methodology: Five vegetable type soybean genotypes were evaluated
across five geographical locations viz., Indore, Parbhani, Adilabad,
Bengaluru and Pune, during rainy season of 2018. Genotypes were grown in a
plot size of 1.35 x 3 m2 in three replications in randomized block
design. Data on green pod yield, green seed test weight, days to 50%
flowering, days to maturity and plant height were recorded using standard
methods. GGE biplot analysis was performed using software “GGE Biplot version
7.0”.
Results:
In the present investigation, except in case of green seed test weight, in
remaining four traits, major portion of variation was contributed by location
(52.95-79.4%) followed by genotype (17.7-42.7%) and genotype x location
interaction (2.21-4.29%). Through GGE biplot analysis, Bengaluru was found to
be near ideal environment and genotypes Karune and Harasoya were found to be
the best performers across the locations with respect to green pod yield.
Interpretation: Bengaluru was found to be near ideal
environment for vegetable type soybean evaluation. Selection for genotypes
having wider adaptability can be conducted at this location. Genotypes Karune
and Harasoya were found to be the best performers with respect to green pod
yield. These two genotypes can be included as parents for breeding as
vegetable type soybean.
Key
words:
GEE biplot, Multienvironmental analyses, Soybean genotypes
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