Nature Communications (Feb 2016)

Open access resources for genome-wide association mapping in rice

  • Susan R. McCouch,
  • Mark H. Wright,
  • Chih-Wei Tung,
  • Lyza G. Maron,
  • Kenneth L. McNally,
  • Melissa Fitzgerald,
  • Namrata Singh,
  • Genevieve DeClerck,
  • Francisco Agosto-Perez,
  • Pavel Korniliev,
  • Anthony J. Greenberg,
  • Ma. Elizabeth B. Naredo,
  • Sheila Mae Q. Mercado,
  • Sandra E. Harrington,
  • Yuxin Shi,
  • Darcy A. Branchini,
  • Paula R. Kuser-Falcão,
  • Hei Leung,
  • Kowaru Ebana,
  • Masahiro Yano,
  • Georgia Eizenga,
  • Anna McClung,
  • Jason Mezey

DOI
https://doi.org/10.1038/ncomms10532
Journal volume & issue
Vol. 7, no. 1
pp. 1 – 14

Abstract

Read online

Understanding the link between genotype and phenotype can facilitate efforts by breeders to utilize natural variation and develop new crop varieties. Here the authors present a diverse germplasm collection, a high-density genotyping array and a set of bioinformatic tools to enable association mapping in rice.