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ARS Home » Southeast Area » Stuttgart, Arkansas » Dale Bumpers National Rice Research Center » Research » Research Project #434318

Research Project: Gene Discovery and Crop Design for Current and New Rice Management Practices and Market Opportunities

Location: Dale Bumpers National Rice Research Center

Project Number: 6028-21000-011-000-D
Project Type: In-House Appropriated

Start Date: Mar 26, 2018
End Date: Mar 25, 2023

Objective:
1. Conserve, regenerate, characterize and expand rice germplasm and blast fungal collections to provide new genetic resources for rice research. 1A. Conserve and characterize the current NSGC rice collection through phenotypic and genotypic analysis to provide true to type and viable genetic resources for distribution to the research community. 1B. Determine the allelic value of Tropical japonica germplasm for improving US rice cultivars. 1C. Identify new sources of germplasm and associated alleles that result in increased grain yield under AWD management system and growing conditions of the southern U.S. 1D. Characterization of agronomic and physiological performance of weedy (red) rice germplasm biotypes in AWD management systems. 1E. Expand the NSGC collection with the development and characterization of an O. glaberrima/barthii and an O. rufipogon rice wild relative diversity panels and evaluate for agronomic and biotic stress tolerance traits. 1F. Characterize the rice blast fungus M. oryzae (Mo) collection for AVR genes and their response to changing climate and production practices. 2. Discover genomic regions and candidate genes/alleles associated with high yield, reduced environmental impacts, resistance to biotic and abiotic stresses, beneficial microbial interactions, and novel/superior grain qualities that are expressed across environments and management systems (GxExM) by developing and utilizing bioinformatics tools, high throughput phenotyping, and omics-driven analyses. 2A. Map QTLs for root architecture at the seedling stage… 2B. Identify QTL associated with quality production under AWD management… 2C. Evaluate three Chromosome Segment Substitution Line (CSSL) libraries… 2D. Fine map yield enhancing loci derived from O. rufipogon introgressions… 2E. Identify genomic regions associated with increased quality production in response to extremes in temperature. 2F. Identify genomic regions associated with increased quality production in response to biotic stress derived from O. sativa and its wild relatives. 2G. Fine-map and conduct candidate gene analyses for kernel fissure resistance (FR)… 2H. Identify genomic regions… 3. Identify optimum gene combinations using modeling of interactions between agronomic traits, reduced environmental impacts, biotic and abiotic stress tolerance, the plant-microbiome, and rice grain quality parameters that are expressed across environments and management systems (GxExM). 3A. Determine impact of reduced input systems on weed suppression. 3B. Identification and validation of effective QTLs for disease resistance… 3C. Determine the impact of AWD irrigation management… 3D. Determine the impact of abiotic stress… 4. Develop and deploy improved rice germplasm for production under existing and new management systems and for new market opportunities. 4A. Develop improved cultivars and germplasm for production in the southern U.S… 4B. Deploy yield enhancing loci derived from O. rufipogon introgressions… 4C. Determine if yield penalty is associated with disease resistance… 4D. Facilitate the development of new rice cultivars… Please see Project Plan for all listed Sub-objectives.

Approach:
Rice is one of the most important cereal grains and it is important to sustain USA rice production for both domestic and global food security. A major challenge in rice production is diminishing irrigation resources. One approach being adopted uses alternate wetting and drying (AWD) irrigation that reduces water use by 20%. Yet there are many questions as to how to optimize quality production under this management system. In addition, record high temperatures during grainfill have resulted in yield and quality losses. This project will use genetic resources, genomic sequence data, and high throughput phenotyping to understand the genes and physiological processes that impact rice yield and quality under changing cultural practices and climates. The approach includes 1) exploring diverse genetic resources for novel traits and genes for developing improved rice cultivars that are resilient to changing climates and production practices, 2) identifying genes through mapping of quantitative trait loci (QTL), 3) identifying combinations of genes that result in increased yield and grain quality, and 4) developing and deploying unique combinations of genes in germplasm that will benefit the US rice industry. Central to the program is curation of the USDA’s world rice collection of over 19,000 cultivars. Subsets of this collection are used to create diversity panels that explore specific gene pools (e.g. O. glaberrima, O. rufipogon, Aus, etc.) for response to biotic and abiotic stresses. In addition, a collection of US rice blast (Magnaporthea oryzea) pathotypes will be evaluated for their ability to causes disease in response to different rice genotypes, management systems, and climatic environments (G x M x E). Segregating mapping populations developed from bi-parental matings and chromosome segment substitution lines (CSSLs) developed using wild species will be used to map QTL for response AWD and heat stress, yield production, disease resistance, kernel fissure resistance, and grain nutritional quality. Recombinant inbred lines (RILs) and CSSLs that possess QTLs for these traits will be used to determine which combinations of genes/QTLs provide the most robust response to production under systems using reduced inputs and having high disease and weed pressure as well as abiotic stresses such as drought and high temperatures. Although most of our previous research has focused on above ground traits, this project will include evaluation of root architecture traits and plant-soil-soil microbiome interactions that may be driving above ground phenotypes and responses. Outcomes from this research will include identification of unique germplasm, location of important QTLs, new methods for accurate and efficient phenotyping, and genetic markers linked to QTLs that can be used in marker assisted breeding. Our goal is to deploy improved germplasm that can be used directly as cultivars or as parental stocks in breeding programs that possess unique combinations of genes that provide high yield, superior milling and processing quality, are resilient to pest pressures and abiotic stress, and have unique nutritional quality that will result in high crop value.