Evidence map›Paper›PMID 40593274›Full record

ArticleScientific reports2025

Analysis of yield stability and genotype-environment interaction for open-pollinated tomato varieties in the Kashmir Himalaya using the AMMI model.

Ummyiah H Masoodi, Immad A Shah, Walid Emam, Yusra Tashkandy, Pradeep Mishra, Neha Mishra, Adelajda Matuka

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Ummyiah H MasoodiSher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar, J&K, 190025, India.
Immad A ShahSher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, Shalimar, Srinagar, J&K, 190025, India.
Walid EmamDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Yusra TashkandyDepartment of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia.
Pradeep MishraCollege of Agriculture, JNKVV, Rewa, MP, India. pradeepjnkvv@gmail.com.
Neha MishraDepartment of Mathematics and Statistics School of Physical Sciences, Amity University, Mohali, Punjab, India.
Adelajda MatukaDepartment of Economics, Faculty of Economics, University of Bologna, Bologna, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the yield stability and adaptability of sixteen open-pollinated tomato (Solanum lycopersicum Mill.) genotypes across multiple environments in the Kashmir Valley, employing Additive Main Effect and Multiplicative Interaction (AMMI) analysis to examine genotype-environment interactions (GEI). A Randomized Complete Block Design (RCBD) with three replications was implemented at six locations over two years, representing the region's diverse environmental conditions. Analysis of variance indicated that the effects of environment (E), genotype (G), and GEI were all highly significant (p < 0.001) in influencing yield per hectare, with the environment contributing 47.5% of the total variation, underscoring the impact of local conditions on performance. Key stability indicators, including Weighted Average of Absolute Scores (WAAS) and Multi-Trait Stability Index (MTSI), assessed genotype stability and yield, with Arka Meghali and NDF-9 emerging as top-performing varieties across locations. Arka Meghali achieved the highest yield, while NDF-9 showed remarkable adaptability. The consistent rankings provided by stability indices reinforced the reliability of WAAS and MTSI as selection tools in multi-environment trials. Based on multi-environment stability analysis, Arka Meghali and NDF-9 were identified as superior open-pollinated tomato genotypes combining high yield and stability across diverse environments. These varieties are recommended for cultivation in the Kashmir Valley to enhance tomato productivity under variable agro-climatic conditions.These findings underscore the utility of GEI analysis in identifying tomato genotypes with robust yield and stability, providing valuable insights for breeding programs and crop management in ecologically sensitive regions like the Northern Himalayas. This research establishes a foundation for future studies on environmental adaptability in crop improvement, highlighting the potential of selected genotypes for sustainable cultivation in Kashmir.

Indexed as

Gene-Environment InteractionSolanum lycopersicumGenotypeIndiaAMMI analysisBiplot graphGenotype–environment interactionIPCAStability indicesTomato

Identifiers

PMID40593274
PMCPMC12216272

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.