ArticlePlants (Basel, Switzerland)2023
Integrating BLUP, AMMI, and GGE Models to Explore GE Interactions for Adaptability and Stability of Winter Lentils (
Article in Plants (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Assessment of genotype-by-environment interactions for seed yield and yield-related traits in oilseed sunflower genotypes under normal and salinity stress conditions.BMC plant biology · 2026Article
- Multi-environment stability and genotype × environment interaction analysis for grain yield and micronutrient (Fe and Zn) contents in mungbean (Vigna radiata L.).BMC plant biology · 2026Article
- Breeding climate-resilient wheat for Nepalese agricultural system under diverse abiotic stresses using an integrated AMMI, GGE and stress tolerance indices.Scientific reports · 2026Article
- Integrating marker-assisted identification and multi-environment trait stability models to select superior rice restorer lines for hybrid breeding.Frontiers in plant science · 2026Article
- Article
- Assessment of stability and yield performance of onion (Allium cepa L.) genotypes across diverse Indian environments.Scientific reports · 2025Article
- Multivariate stability analysis to select elite rice (Oryza sativa L.) genotypes for grain yield, zinc and Iron.Scientific reports · 2025Article
- Variation of Seed Yield and Nutritional Quality Traits of Lentil (Plants (Basel, Switzerland) · 2025Article
- Grass pea dual purpose dry matter and seed yields in rainfed conditions across diverse environments.Scientific reports · 2025Article
- Stability and adaptability assessment of red onion genotypes using AMMI, GGE, BLUP, and multivariate indices.Frontiers in plant science · 2025Article
- Stay-green trait improves yield, quality, and feeding value of forage oats under contrasting eco-sowing systems.Frontiers in plant science · 2025Article
- Effects of genotype-by-environment and analysis of potential management interaction on vase life in cut lisianthus.Frontiers in plant science · 2025Article
- Manure-biochar compost mitigates the soil salinity stress in tomato plants by modulating the osmoregulatory mechanism, photosynthetic pigments, and ionic homeostasis.Scientific reports · 2024Article
- Phenotypic diversity in qualitative and quantitative traits for selection of high yield potential field pea genotypes.Scientific reports · 2024Article
- Genotype-by-environment interaction and stability analysis of grain yield of bread wheat (Heliyon · 2024Article
- Climate-smart rice (Oryza sativa L.) genotypes identification using stability analysis, multi-trait selection index, and genotype-environment interaction at different irrigation regimes with adaptation to universal warming.Scientific reports · 2024Article
- Article
- Assessing agronomic performance, chocolate spot resistance, and heat tolerance for diverse Vicia faba genotypes under varying environmental conditions.Scientific reports · 2024Article
- Stability and adaptability of grain yield in quinoa genotypes in four locations of Iran.Frontiers in plant science · 2024Article
- Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lentil yield is a complicated quantitative trait; it is significantly influenced by the environment. It is crucial for improving human health and nutritional security in the country as well as for a sustainable agricultural system. The study was laid out to determine the stable genotype through the collaboration of G × E by AMMI and GGE biplot and to identify the superior genotypes using 33 parametric and non-parametric stability statistics of 10 genotypes across four different conditions. The total G × E effect was divided into two primary components by the AMMI model. For days to flowering, days to maturity, plant height, pods per plant, and hundred seed weight, IPCA1 was significant and accounted for 83%, 75%, 100%, and 62%, respectively. Both IPCA1 and IPCA2 were non-significant for yield per plant and accounted for 62% of the overall G × E interaction. An estimated set of eight stability parameters showed strong positive correlations with mean seed yield, and these measurements can be utilized to choose stable genotypes. The productivity of lentils has varied greatly in the environment, ranging from 786 kg per ha in the MYM environment to 1658 kg per ha in the ISD environment, according to the AMMI biplot. Three genotypes (G8, G7, and G2) were shown to be the most stable based on non-parametric stability scores for grain yield. G8, G7, G2, and G5 were determined as the top lentil genotypes based on grain production using numerical stability metrics such as Francis's coefficient of variation, Shukla stability value (σi
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