ArticleMolecular genetics and genomics : MGG2018
Marker-trait association for low-light intensity tolerance in rice genotypes from Eastern India.
Article in Molecular genetics and genomics : MGG, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 24 citations in OpenAlex.
- Rice adaptation to low-light stress: integrating morpho-physiology, biochemical plasticity, signalling networks and molecular breeding strategies.Plant cell reports · 2026Review
- Genome-wide association analysis to identify QTLs and candidate genes associated with grain yield and its related traits under low light conditions in rice (Oryza sativa L.).The plant genome · 2026Article
- Identification of Novel Quantitative Trait Loci and Candidate Genes Associated with Grain Yield and Related Traits Under Low-Light Stress Conditions in Rice.Biomolecules · 2025Article
- Genome-wide association study reveals the QTLs and candidate genes associated with seed longevity in soybean (Glycine max (L.) Merrill).BMC plant biology · 2025Article
- Identification and analysis of low light responsive yield enhancing QTLs in rice.Scientific reports · 2024Article
- The Chrysosplenium sinicum genome provides insights into adaptive evolution of shade plants.Communications biology · 2024Article
- Impact of low light intensity on biomass partitioning and genetic diversity in a chickpea mapping population.Frontiers in plant science · 2024Article
- Evaluation of diverse soybean genotypes for seed longevity and its association with seed coat colour.Scientific reports · 2023Article
- Identification of microRNAs That Provide a Low Light Stress Tolerance-Mediated Signaling Pathway during Vegetative Growth in Rice.Plants (Basel, Switzerland) · 2022Article
- Understanding the metabolome and metagenome as extended phenotypes: The next frontier in macroalgae domestication and improvement.Journal of the World Aquaculture Society · 2021Article
- A 1.84-Mb region on rice chromosome 2 carrying SPL4, SPL5 and MLO8 genes is associated with higher yield under phosphorus-deficient acidic soil.Journal of applied genetics · 2021Article
- Low Light/Darkness as Stressors of Multifactor-Induced Senescence in Rice Plants.International journal of molecular sciences · 2021Review
- In silico characterization, and expression analysis of rice golden 2-like (OsGLK) members in response to low phosphorous.Molecular biology reports · 2020Article
- Identification and analysis of low light tolerant rice genotypes in field conditions and their SSR-based diversity in various abiotic stress tolerant lines.Journal of genetics · 2020Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Light intensity is a crucial environmental factor that affects photosynthesis and ultimately, grain yield in rice. However, no gene or marker directly associated with improved performance under low-light intensity under field conditions has been identified till date. With an aim of identifying genes and markers associated with improved performance (measured in terms of better yields) under low-light intensity, an integrated field screening, in silico and wet lab validation analysis was performed. Field-based screening of a diverse set of 110 genotypes led to the identification of two physiological and three morphological parameters critical for low-light tolerance in rice. In silico analysis using information available in public databases led to the identification of a set of 90 potential candidate genes which were narrowed to thirteen genic targets for possible marker-trait association. Marker-trait association on the panel of 48 diverse rice genotypes varying in their response to low-light intensity led to the identification of six markers [HvSSR02-44 (biological yield), HvSSR02-52 (spikelet fertility), HvSSR02-54 (grain yield), HvSSR06-56 (spikelet fertility), HvSSR06-69 (spikelet fertility; biological yield), HvSSR09-45 (spikelet fertility)] lying on chromosomes 2, 6 and 9 showing significant association (R
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Registered trials
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.