ArticleFrontiers in plant science2023
Multi-environment evaluation of rice genotypes: impact of weather and culm biochemical parameters against sheath blight infection.
Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 9 citations in OpenAlex.
- 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
- Genomic insights into sheath blight resistance: leveraging natural variation in the Bengal-Assam-Aus rice panel for multi-season association mapping.Frontiers in plant science · 2026Article
- A multi-model genotype × environment interaction analysis discerning phenotypic plasticity of the strong culm trait in rice.Frontiers in plant science · 2026Article
- Multivariate stability analysis to select elite rice (Oryza sativa L.) genotypes for grain yield, zinc and Iron.Scientific reports · 2025Article
- Genotype by environment interaction analysis for resistance against powdery mildew and yellow rust in some promising exotic wheats.BMC plant biology · 2025Article
- Genotype by environment interaction across water regimes in relation to cropping season response of quinoa (Chenopodium quinoa).PloS one · 2024Article
- A comprehensive multivariate approach for GxE interaction analysis in early maturing rice varieties.Frontiers in plant science · 2024Article
- Dissecting genomic regions and underlying sheath blight resistance traits in rice (Plant direct · 2023Article
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Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Sheath blight caused by Material and methods: A multi-environment evaluation of 32 rice genotypes against sheath blight infection was conducted over six seasons across two locations (Agricultural Research Farm, Institute of Agricultural Sciences, Banaras Hindu University (28.18° N, 38.03° E, and 75.5 masl), for four years during the wet seasons ( Result and discussion: The resistant genotypes across seasons were the ones with a higher hemicellulose content (13.93-14.64) and lower nitrogen content (1.10- 1.31) compared with the susceptible check Tapaswini (G32) (hemicellulose 12.96, nitrogen 1.38), which might explain the resistant reaction. Three different stability models-additive main effect and multiplicative interaction (AMMI), genotype + genotype x environment (GGE) biplot, and multi-trait stability index (MTSI)-were then used to identify the stable resistant genotypes across six seasons. The results obtained with all three models had common genotypes highlighted as stable and having a low area under the disease progress curve (AUDPC) values. The ideal stable genotypes with low disease incidence were IC 283139 (G19), Tetep (G28), IC 260917 (G4), and IC 277274 (G10), with AUDPC values of 658.91, 607.46, 479.69, and 547.94, respectively. Weather parameters such as temperature, rainfall, sunshine hours, and relative humidity were also noted daily. Relative humidity was positively correlated with the percent disease index.
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