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Current IssueEditorial BoardOnline First Articles
Indian Journal of
Agricultural Research
Print ISSN: 0367-8245
Online ISSN: 0976-058X
NASS Rating
5.60
SJR
0.217
CiteScore
0.595

Chief Editor:
V. Geethalakshmi
Tamil Nadu Agricultural University Coimbatore, INDIA
Frequency:Monthly
Indexing:
BIOSIS Preview, ISI Citation Index, Biological Abstracts, Elsevier (Scopus and Embase), AGRICOLA, Go...

Indian Journal of Agricultural Research, volume 49 issue 1 (february 2015) : 39-45

AMMI analysis to comprehend genotype-by-environment (G × E) interactions in rainfed grown soybean [Glycine max. (L)Merrill]

Dilip Birla*, S.R. Ramgiry
1Department of Plant Breeding and Genetics, R.A.K. College of Agriculture (RVSKVV) Sehore-466 001, India
Cite article:- Birla* Dilip, Ramgiry S.R. (2025). AMMI analysis to comprehend genotype-by-environment (G × E) interactions in rainfed grown soybean [Glycine max. (L)Merrill]. Indian Journal of Agricultural Research. 49(1): 39-45. doi: 10.5958/0976-058X.2015.00005.0.

ABSTRACT

The additive main effects and multiplicative interaction (AMMI) model was used to analysis the yield and yield component traits data of 25 soybean genotypes grown in three environments(Normal condition with rainfed condition, high plant population with rainfed condition and normal population with excess moisture). Main effects due to environments (E)and genotypes (G) were found significant for the all traits. The G × E interaction was significant for most of the traits, except days to 50% flowering, days to maturity and 100 seed weight (g). Gollob’s test declared two components, Principal Component Analysis1 (PCA 1) and PCA 2, statistically significant (P

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