Evidence map›Paper›PMID 41203788›Full record

ArticleScientific reports2025

Yield stability of finger millet genotypes assessed by AMMI and GGE biplot analysis across diverse environments.

M Chandhana Ishwarya, Swapnil, Sanghamitra Rout, Digvijay Singh, Koustava Kumar Panda, Zafar Imam, Jahnavi Penaganti, Mehdi Rahimi, Pramod Kumar, Tangi Rushi Naidu and 1 more

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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. Cited by 1 paper.

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0cells of the map it votes in
1citing 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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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

M Chandhana IshwaryaDepartment of Genetics and Plant Breeding & Seed Science and Technology, Centurion University of Technology and Management, Paralakhemundi, 761211, Odisha, India.
SwapnilDepartment of Genetics and Plant Breeding & Seed Science and Technology, Centurion University of Technology and Management, Paralakhemundi, 761211, Odisha, India. swapnilkomal14@gmail.com.
Sanghamitra RoutDepartment of Genetics and Plant Breeding & Seed Science and Technology, Centurion University of Technology and Management, Paralakhemundi, 761211, Odisha, India.
Digvijay SinghDepartment of Seed Science and Technology, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya, 224229, India.
Koustava Kumar PandaDepartment of Plant Biotechnology, Centurion University of Technology and Management, Paralakhemundi, 761211, Odisha, India.
Zafar ImamDepartment of Genetics & Plant Breeding, Bihar Agricultural University, Sabour, Bhagalpur, 813210, India.
Jahnavi PenagantiDepartment of Genetics and Plant Breeding & Seed Science and Technology, Centurion University of Technology and Management, Paralakhemundi, 761211, Odisha, India.
Mehdi RahimiDepartment of Biotechnology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran. mehdi83ra@gmail.com.
Pramod KumarZonal Research station (Birsa Agricultural University, Chianki, 822101, India.
Tangi Rushi NaiduDepartment of Genetics and Plant Breeding & Seed Science and Technology, Centurion University of Technology and Management, Paralakhemundi, 761211, Odisha, India.
Nanduri V S D S L N Mani SankarDepartment of Genetics and Plant Breeding & Seed Science and Technology, Centurion University of Technology and Management, Paralakhemundi, 761211, Odisha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finger millet productivity is strongly influenced by genotype × environment interaction (GEI), which complicates the identification of high-yielding and stable genotypes. This study evaluated 35 genetically diverse finger millet genotypes across three agro-ecological zones viz., Odisha (E1), Jharkhand (E2), and Bihar (E3) during two rabi seasons (2023-24 and 2024-25). A randomized block design with three replications was implemented and key quantitative traits i.e. grain yield per plant, 1000-grain weight, and number of fingers on the main ear were recorded. AMMI and GGE biplot analyses were applied to assess GEI, stability, and adaptability. Genotype G18 (VR-1176) consistently emerged as the most stable and high-yielding across environments, followed by G13 (VL-Mandia-352), G28 (Bada Mandia), G3 (PR-1639), G25 (Bada Kumnda), G26 (Badatara), G11 (VR-1223), G15 (VR-12-38), G14 (OEB-610), and G33 (FEZN-84). AMMI 1 and AMMI 2 biplots confirmed these findings, highlighting G18 and G15 as superior performers. Among sites, Jharkhand (E2) was identified as the most favourable environment. Additionally, molecular profiling using UGEP markers 46, 66, and 68 revealed polymorphic banding in high-yielding genotypes, which validates phenotypic observations. The integration of phenotypic and molecular analyses provides a robust framework for identifying finger millet genotypes with both high productivity and yield stability, supporting their recommendation for breeding programs and wider cultivation.

Indexed as

EleusineGene-Environment InteractionGenotypeEdible GrainPhenotypeGenotype x environment interactionMain effectMarkersPhenotypicPrincipal componentsSeasons

Identifiers

PMID41203788
PMCPMC12594826

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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.