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This article in JPR

  1. Vol. 4 No. 3, p. 261-265
    Received: Nov 12, 2009

    * Corresponding author(s): joard@agcenter.lsu.edu
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Registration of the MY2 ‘Cypress’/‘LaGrue’ Rice Recombinant Inbred Line Mapping Population

  1. James H. Oard *a,
  2. Karen Moldenhauerb,
  3. Bob Fjellstromc,
  4. James C. Nelsond,
  5. Brian Schefflere,
  6. Steve Linscombef,
  7. James Correllg,
  8. James Silvaa and
  9. Greg D. Mayh
  1. a School of Plant, Environmental, and Soil Sciences, 104 Sturgis Hall, Louisiana State Univ. Agricultural Center, Baton Rouge, LA 70803
    b Univ. of Arkansas, Division of Agriculture, Rice Research and Extension Center, 2900 Hwy. 130 East, Stuttgart, AR 72160
    c USDA-Dale Bumpers National Rice Research Center, 2890 Hwy. 130 East, Stuttgart, AR 72160
    d Kansas State Univ., 4024 Throckmorton Plant Sciences Center, Manhattan, KS 66506
    e USDA-ARS MSA Genomics Lab., 141 Experiment Station Rd., JWDSRC, Stoneville, MS 38776
    f Louisiana State Univ. Agricultural Center, Rice Research Station, P.O. Box 1429, Crowley, LA 70527
    g Univ. of Arkansas, Dep. of Plant Pathology, PTSC 217, Fayetteville, AR 72701
    h National Center for Genome Resources, Santa Fe, NM 87505. Approved for publication by the Director of the Louisiana Agricultural Experiment Station as paper number 2010-306-4116


Grain quality plays a crucial economic role for producers, millers, and exporters of rice (Oryza sativa L.). The objective of this research was to develop a japonica-based rice recombinant inbred line (RIL) mapping population to assist in the identification of genomic regions associated with whole-grain milling (head rice), five additional seed-related characters, and two agronomic traits. The ‘Cypress’/‘LaGrue’ mapping population (Reg. No. MP-4, NSL 466304) was developed under the Rice Coordinated Agricultural Project (RiceCAP) and released by the Louisiana State University Agricultural Center, Baton Rouge, LA in 2009. The mapping population consisted of 298 F2:6 RILs from which a linkage map was constructed using simple sequence repeat (SSR) markers to identify the quantitative trait loci underlying the above mentioned traits. To complement the SSR marker information, the DNA sequence of the two parental nuclear genomes at fivefold coverage has been determined. A database consisting of single nucleotide polymorphisms between the two parents has been posted at a public website. This mapping population and related datasets represent a valuable resource for basic rice genomic and applied marker-assisted breeding efforts in grain quality and associated traits.

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Copyright © 2010. Crop Science Society of AmericaCrop Science Society of America