ArticlePloS one2015
Environmental Response and Genomic Regions Correlated with Rice Root Growth and Yield under Drought in the OryzaSNP Panel across Multiple Study Systems.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Plant root plasticity during drought and recovery: What do we know and where to go?Frontiers in plant science · 2023Pooled it
- Mathematical modeling with RGB data for comparative analysis of rice lineages and distribution of breaking points.BMC plant biology · 2026Article
- Modulation of Root Hydrotropism and Recovery From Drought by MIZ1-like Genes in Tomato.Plant, cell & environment · 2025Article
- Article
- DFMA: an improved DeepLabv3+ based on FasterNet, multi-receptive field, and attention mechanism for high-throughput phenotyping of seedlings.Frontiers in plant science · 2024Article
- Dissecting the Relationship between Root Morphological Traits and Yield Attributes in Diverse Rice Cultivars under Subtropical Condition.Life (Basel, Switzerland) · 2022Article
- Improving the efficiency of plant root system phenotyping through digitization and automation.Breeding science · 2022Article
- Proofing Direct-Seeded Rice with Better Root Plasticity and Architecture.International journal of molecular sciences · 2021Review
- Impact of osmotic stress on the growth and root architecture of introgression lines derived from a wild ancestor of rice and a modern cultivar.Plant-environment interactions (Hoboken, N.J.) · 2020Article
- Computer vision and machine learning enabled soybean root phenotyping pipeline.Plant methods · 2020Article
- Article
- A follow-up study for biomass yield QTLs in rice.PloS one · 2018Article
- Genetic Loci Governing Grain Yield and Root Development under Variable Rice Cultivation Conditions.Frontiers in plant science · 2017Article
- Rice Root Architectural Plasticity Traits and Genetic Regions for Adaptability to Variable Cultivation and Stress Conditions.Plant physiology · 2016Article
- Growing Out of Stress: The Role of Cell- and Organ-Scale Growth Control in Plant Water-Stress Responses.The Plant cell · 2016Review
- Combining Image Analysis, Genome Wide Association Studies and Different Field Trials to Reveal Stable Genetic Regions Related to Panicle Architecture and the Number of Spikelets per Panicle in Rice.Frontiers in plant science · 2016Article
Corrections and comments
- Erratum issued
Authors and funding
27 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid progress in rice genotyping must be matched by advances in phenotyping. A better understanding of genetic variation in rice for drought response, root traits, and practical methods for studying them are needed. In this study, the OryzaSNP set (20 diverse genotypes that have been genotyped for SNP markers) was phenotyped in a range of field and container studies to study the diversity of rice root growth and response to drought. Of the root traits measured across more than 20 root experiments, root dry weight showed the most stable genotypic performance across studies. The environment (E) component had the strongest effect on yield and root traits. We identified genomic regions correlated with root dry weight, percent deep roots, maximum root depth, and grain yield based on a correlation analysis with the phenotypes and aus, indica, or japonica introgression regions using the SNP data. Two genomic regions were identified as hot spots in which root traits and grain yield were co-located; on chromosome 1 (39.7-40.7 Mb) and on chromosome 8 (20.3-21.9 Mb). Across experiments, the soil type/ growth medium showed more correlations with plant growth than the container dimensions. Although the correlations among studies and genetic co-location of root traits from a range of study systems points to their potential utility to represent responses in field studies, the best correlations were observed when the two setups had some similar properties. Due to the co-location of the identified genomic regions (from introgression block analysis) with QTL for a number of previously reported root and drought traits, these regions are good candidates for detailed characterization to contribute to understanding rice improvement for response to drought. This study also highlights the utility of characterizing a small set of 20 genotypes for root growth, drought response, and related genomic regions.
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