2 Works

Data from: Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement

Jennifer E. Spindel, Hasina Begum, Deniz Akdemir, Bertrand Collard, Edilberto Redoña, Jean-Luc Jannink & Susan McCouch
To address the multiple challenges to food security posed by global climate change, population growth and rising incomes, plant breeders are developing new crop varieties that can enhance both agricultural productivity and environmental sustainability. Current breeding practices, however, are unable to keep pace with demand. Genomic selection (GS) is a new technique that helps accelerate the rate of genetic gain in breeding by using whole-genome data to predict the breeding value of offspring. Here, we...

Data from: Genomic selection and association mapping in rice (Oryza sativa): effect of trait genetic architecture, training population composition, marker number and statistical model on accuracy of rice genomic selection in elite, tropical rice breeding lines

Jennifer Spindel, Hasina Begum, Deniz Akdemir, Parminder Virk, Bertrand Collard, Edilberto Redoña, Gary Atlin, Jean-Luc Jannink & Susan R. McCouch
Genomic Selection (GS) is a new breeding method in which genome-wide markers are used to predict the breeding value of individuals in a breeding population. GS has been shown to improve breeding efficiency in dairy cattle and several crop plant species, and here we evaluate for the first time its efficacy for breeding inbred lines of rice. We performed a genome-wide association study (GWAS) in conjunction with five-fold GS cross-validation on a population of 363...

Registration Year

  • 2015

Resource Types

  • Dataset


  • International Rice Research Institute
  • Cornell University
  • Agricultural Research Service
  • Centro Internacional de Agricultura Tropical