Evidence map›Paper›PMID 41125639›Full record

ArticleScientific reports2025

AMMI and GGE biplot analysis for seed yield and stability performance of selected buckwheat genotypes under multi-environmental trials.

Raghav Sood, Gopal Katna, Manoj Negi, Surinder Kumar Kaushik, Gyanendra Pratap Singh, Mohar Singh

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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 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Raghav SoodICAR - National Bureau of Plant Genetic Resources, Regional Station, Shimla, 171004, India.
Gopal KatnaChaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, 176062, India.
Manoj NegiChaudhary Sarwan Kumar Himachal Pradesh Krishi Vishvavidyalaya, Palampur, 176062, India.
Surinder Kumar KaushikICAR - National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Gyanendra Pratap SinghICAR - National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, 110012, India.
Mohar SinghICAR - National Bureau of Plant Genetic Resources, Regional Station, Shimla, 171004, India. mohar.singh2@icar.org.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Buckwheat is an underutilized yet nutrient dense crop with immense potential for sustainable agriculture, especially in regions with challenging agroclimatic conditions. This study assessed the yield performance and stability of twenty buckwheat genotypes across two distinct locations over three consecutive years (2022-2024). Additive main effects and multiplicative interaction (AMMI) and genotype plus genotype by environment interaction (GGE) biplot analysis were performed to evaluate the genotype for stability and adaptability. The results indicated significant genotype × environment (G × E) interactions for all characters, emphasizing the necessity of multi-environmental trials for desirable selection and breeding. According to analysis of variance, environments had a significant impact on genotype performance. However, IC109729 (3.80 g per plant) and Sangla B-129 (2.86 g per plant) emerged as the most stable and high yielding genotypes. GGE biplot analysis indicated Shimla, 2023 and Sangla, 2023 were the most discriminative and representative environments, making them ideal for further testing and selection. These results highlight the importance of environmental assessment and genotype selection in buckwheat breeding, providing key insights for developing resilient varieties across diverse environments. These results can serve as a basis for enhancing the productivity of buckwheat and expanding its production in marginal areas, where traditional cereal crops are in the struggling phase.

Indexed as

FagopyrumGene-Environment InteractionSeedsEnvironmentGenotypePlant BreedingAdaptabilityAMMIBiplot visualizationBuckwheatClimate resilient cropGenotype × environment interactionGGE biplotsPotential cropStability analysis

Identifiers

PMID41125639
PMCPMC12546826

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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.