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ARS Home » Southeast Area » Stuttgart, Arkansas » Dale Bumpers National Rice Research Center » Research » Publications at this Location » Publication #358272

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

Location: Dale Bumpers National Rice Research Center

Title: Registration of the ‘Estrela/NSFTV199’ Rice Recombinant Inbred Line Mapping Population

item Eizenga, Georgia
item Chen, Ming Hsuan
item Jia, Melissa
item Jackson, Aaron
item Edwards, Jeremy

Submitted to: Journal of Plant Registrations
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 6/27/2019
Publication Date: 9/1/2019
Citation: Eizenga, G.C., Chen, M., Jia, M.H., Jackson, A.K., Edwards, J. 2019. Registration of the ‘Estrela/NSFTV199’ Rice Recombinant Inbred Line Mapping Population. Journal of Plant Registrations. 13:469-478.

Interpretive Summary: Rice is the stable food for over half of the world’s 7.6 billion people and population growth is predicted to reach 8.6 billion in 2030 and 9.8 billion in 2050. To meet this growing demand for food, it is essential to understand the plant processes that control rice yield and grain quality, thus expediting breeding efforts to produce more pounds of rice per acre and better tasting rice is crucial. Rice yield is determined by several factors including number of plants per acre, number of panicles per plant, number of grains per panicle and grain size which is affected by days to maturity and flag leaf dimensions. Most rice produced in the southern USA is classified as tropical japonica whereas most rice grown in Asia is classified as indica. Tropical japonica rice is substantially different from indica rice both in appearance and genetically, thus there is a need to dissect the processes controlling rice yield and quality in tropical japonica. The tropical japonica Estrela/NSFTV199 mapping population is diverse for these yield related traits and grain quality. In addition to the previously reported traits, this study reports the evaluation of the population for flag leaf dimensions, which affects grain yield; leaf hairiness, an undesirable trait in rice; and grain chalkiness, which negatively affects the appearance and cooking quality of rice kernels. This Estrela/NSFTV199 population is being made publicly available for research groups to identify the mechanisms controlling these yield-related and quality traits, evaluate the population for additional traits of interest, and for breeders to make crosses with their elite breeding materials for varietal development.

Technical Abstract: Understanding the variation for agronomic, panicle architecture and grain traits in tropical japonica rice (Oryza sativa L.) is extremely important to U.S. rice breeding because most U.S. rice is from this subpopulation. The ‘Estrela’/NSFTV199 mapping population was developed from the Rice Diversity Panel 1 accessions, Estrela (GSOR301227), recently reclassified as admixture of Japonica, and tropical japonica NSFTV199 (GSOR301190) which were characterized as phenotypically and genotypically diverse. The population consists of 276 F2:9 recombinant inbred lines and parents (GSOR 104001 through GSOR 104282) which were genotyped with 65 SSR markers and 256 RILs were genotyped with an additional 69 SSR markers. The population was phenotyped for eight agronomic traits (days to heading, plant height, flag leaf length and width, leaf pubescence, culm habit, awn presence and seed shattering), six panicle architecture traits (panicle length; number of primary branches, florets, seeds and sterile florets per panicle; and percent fertility) and nine grain traits (seed length, width and length to width ratio with and without the hull; percent chalk in brown rice with and without broken kernels, and 100-seed weight). In this report we discuss evaluation of the population for eight traits not previously reported. The linkage map was constructed based on 132 SSR markers and 256 RILs. QTL associated with 22 of the 23 yield related traits were identified. This mapping population and the associated genotypes represent a valuable resource for basic rice genomic studies and applied marker-assisted breeding efforts to select for desirable yield related traits.