A5048915635- Rice Cultivation and Yield Improvement
- Plant nutrient uptake and metabolism
- Genetic Mapping and Diversity in Plants and Animals
- Plant responses to water stress
- GABA and Rice Research
- Plant Disease Resistance and Genetics
- Plant Molecular Biology Research
- Soil Moisture and Remote Sensing
- Genetic and phenotypic traits in livestock
- Wheat and Barley Genetics and Pathology
- Irrigation Practices and Water Management
- Agriculture, Soil, Plant Science
- Plant tissue culture and regeneration
- Genetics and Plant Breeding
- Smart Agriculture and AI
- Soil Carbon and Nitrogen Dynamics
- Plant Genetic and Mutation Studies
- Crop Yield and Soil Fertility
- Plant Micronutrient Interactions and Effects
- Research in Cotton Cultivation
- Bioenergy crop production and management
- Genetic Syndromes and Imprinting
- Pacific and Southeast Asian Studies
- Legume Nitrogen Fixing Symbiosis
- Light effects on plants
National Agriculture and Food Research Organization
2016-2025
Institute of Crop Science
2016-2025
Institute of Agrobiological Sciences
2007-2023
Tokyo University of Agriculture
2017-2018
Genomics (United Kingdom)
2013
University of Tsukuba
2003
International Rice Research Institute
2003
Developing a deep root system is an important strategy for avoiding drought stress in rice. Using the ‘basket’ method, ratio of rooting (RDR; proportion total roots that elongated through basket bottom) was calculated to evaluate rooting. A new major quantitative trait locus (QTL) controlling RDR detected on chromosome 9 by using 117 recombinant inbred lines (RILs) derived from cross between lowland cultivar IR64, with shallow rooting, and upland Kinandang Patong (KP), This QTL explained...
Significance Genetically improving the root system architectures of plants is an effective strategy for developing climate-resilient crops. In this study, we revealed that a cloned rice quantitative trait locus associated with growth angle, qSOR1 , DRO1 homolog involved in gravitropic responses. The loss-of-function allele qsor1 resulted roots developed on soil surface and enabled to avoid reducing stress found saline paddy soils and, consequently, increased yields. We show homologs could be...
Abstract Over the past two decades, genetic dissection of complex phenotypes economic and biological interest has revealed chromosomal locations many quantitative trait loci (QTLs) in rice their contributions to phenotypic variation. Mapping resolution varied considerably among QTL studies owing differences population size number DNA markers used. Additionally, same QTLs have often been reported with different locus designations. This situation made it difficult determine allelic...
To clarify the effect of deep rooting on grain yield in rice (Oryza sativa L.) an irrigated paddy field with or without fertilizer, we used shallow-rooting IR64 and deep-rooting Dro1-NIL (a near-isogenic line homozygous for Kinandang Patong allele DEEPER ROOTING 1 (DRO1) genetic background). Although total root length was similar both lines, more roots were distributed within lower soil layer than IR64, irrespective fertilizer treatment. At maturity, showed approximately 10% higher Higher...
Abstract Background X-ray computed tomography (CT) allows us to visualize root system architecture (RSA) beneath the soil, non-destructively and in a three-dimensional (3-D) form. However, CT scanning, reconstruction processes, isolation from volumes, take considerable time. For genetic analyses, such as quantitative trait locus mapping, which require large population size, high-throughput RSA visualization method is required. Results We have developed process flow for 3-D of rice ( Oryza...
Root growth angle (RGA) is an important trait that influences the ability of rice to avoid drought stress. DEEPER ROOTING 1 (DRO1), which a major quantitative locus (QTL) for RGA, responsible difference in RGA between shallow-rooting cultivar IR64 and deep-rooting Kinandang Patong. However, differences these cultivars cannot be fully explained by DRO1. The objective this study was identify new QTLs explaining cultivars.
The functional allele of the rice gene DEEPER ROOTING 1 (DRO1) increases root growth angle (RGA). However, wide natural variation in RGA is observed among cultivars with DRO1 allele. To elucidate genetic factors related to such variation, we quantitatively measured using basket method and analyzed quantitative trait loci (QTLs) for three F2 mapping populations derived from crosses between large RGA-type cultivar Kinandang Patong each accessions varying RGA: Momiroman has small was used...
Abstract Rice production faces the challenge to be enhanced by 50% year 2030 meet growth of population in rice-eating countries. Whereas yield cereal crops tend reach plateaus and a is likely deeply affected climate instability resource scarcity coming decades, building rice cultivars harboring root systems that can maintain performance capturing water nutrient resources unevenly distributed major breeding target. Taking advantage gathering community biologists Global Science Partnership...
Roots are essential organs for capturing water and nutrients from the soil. In particular, root system architecture (RSA) determines extent of region soil where can be gathered. As global climate change accelerates, it will important to improve belowground plant parts, as well aboveground ones, because roots front-line in response abiotic stresses such drought, flooding, salinity stress. However, using conventional breeding based on phenotypic selection, is difficult select lines possessing...
Osmotic stresses, such as drought and high salinity, adversely affect plant growth productivity. The phytohormone abscisic acid (ABA) accumulates in response to osmotic stress enhances tolerance plants by triggering multiple physiological responses through ABA signaling. Subclass III SNF1–related protein kinases 2 (SnRK2s) are key regulators of Although SnRK2s have long been considered be self-activated autophosphorylation after release from PP2C-mediated inhibition, they were recently...
Asian cultivated rice (Oryza sativa L.) has genetic diversification of root characteristics, but this variation not been elucidated fully with reference to the background. To clarify differences in anatomical and morphological traits among different varietal groups rice, we analyzed four (root thickness, stele transversal area, total area number late metaxylem vessels) two length index ratio deep rooting) 59 accessions. A previous principal-coordinate analysis study using data on 179...
Rice cultivars show a wide range of variation in stele and xylem structures the root as well thickness (RTH). We identified quantitative trait loci (QTLs) for by using 117 F3 lines from cross between lowland rice cultivar IR64 (thin roots) upland Kinandang Patong (thick roots). QTL analysis was performed genotype data consisting 197 DNA markers F2 plants phenotype plants. Stele transversal area (STA), total number late metaxylem vessels (MXA MXN) RTH were measured basal sections nodal roots....
Drought is the most serious abiotic stress that hinders rice production under rainfed conditions. Breeding for deep rooting a promising strategy to improve root system architecture in shallow-rooting cultivars avoid drought stress. We analysed quantitative trait loci (QTLs) ratio of (RDR) three F2 mapping populations derived from crosses between each varieties ('ARC5955', 'Pinulupot1', and 'Tupa729') deep-rooting variety, 'Kinandang Patong'. In total, we detected five RDR QTLs on chromosomes...
SUMMARY Improving crop yield potential through an enhanced response to rising atmospheric CO 2 levels is effective strategy for sustainable production in the face of climate change. Large‐sized panicles (containing many spikelets per panicle) have been a recent ideal plant architecture (IPA) high‐yield rice breeding. However, few breeding programs proposed IPA under projected Here, we demonstrate cloning ( Oryza sativa ) quantitative trait locus MORE PANICLES 3 MP3 that improvement panicle...
Heading date, a crucial factor determining regional and seasonal adaptation in rice (Oryza sativa L.), has been major selection target breeding programs. Although considerable progress made our understanding of the molecular regulation heading date during last two decades, previously isolated genes identified quantitative trait loci (QTLs) cannot fully explain natural variation for diverse accessions. To genetically dissect naturally occurring we collected QTLs advanced-backcross populations...
Shape is an important morphological characteristic both in animals and plants. In the present study, we examined a method for predicting biological contour shapes based on genome-wide marker polymorphisms. The expected to contribute acceleration of genetic improvement shape via genomic selection. Grain variation observed rice (Oryza sativa L.) germplasms was delineated using elliptic Fourier descriptors (EFDs), predicted single nucleotide polymorphism (SNP) genotypes. We applied four methods...
Root distribution in the soil determines plants’ nutrient and water uptake capacity. Therefore, root is one of most important factors crop production. The trench profile method used to observe underground by making a rectangular hole close crop, providing informative images compared other phenotyping methods. However, much effort required segment area for quantification. In this study, we present promising approach employing convolutional neural network segmentation images. We defined two...