title: Field-based high throughput phenotyping rapidly identifies genomic regions controlling yield components in rice.
abstract: To ensure food security in the face of population growth, decreasing water and land for agriculture, and increasing climate variability, crop yields must increase faster than the current rates. Increased yields will require implementing novel approaches in genetic discovery and breeding. Here we demonstrate the potential of field-based high throughput phenotyping (HTP) on a large recombinant population of rice to identify genetic variation underlying important traits. We find that detecting quantitative trait loci (QTL) with HTP phenotyping is as accurate and effective as traditional labor-intensive measures of flowering time, height, biomass, grain yield, and harvest index. Genetic mapping in this population, derived from a cross of an modern cultivar (IR64) with a landrace (Aswina), identified four alleles with negative effect on grain yield that are fixed in IR64, demonstrating the potential for HTP of large populations as a strategy for the second green revolution.
authors.affiliation: Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO, USA.
authors.forename: Paul
authors.initials: P
authors.lastname: Tanger
authors.affiliation: International Rice Research Institute (IRRI), Los Baños, Philippines.
authors.forename: Stephen
authors.initials: S
authors.lastname: Klassen
authors.affiliation: Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO, USA.|Department of Biology, Duke University, Durham, NC, USA.
authors.forename: Julius P
authors.initials: JP
authors.lastname: Mojica
authors.affiliation: Department of Integrative Biology, University of Texas, Austin, Austin, TX, USA.
authors.forename: John T
authors.initials: JT
authors.lastname: Lovell
authors.affiliation: Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO, USA.
authors.forename: Brook T
authors.initials: BT
authors.lastname: Moyers
authors.affiliation: International Rice Research Institute (IRRI), Los Baños, Philippines.
authors.forename: Marietta
authors.initials: M
authors.lastname: Baraoidan
authors.affiliation: International Rice Research Institute (IRRI), Los Baños, Philippines.
authors.forename: Maria Elizabeth B
authors.initials: ME
authors.lastname: Naredo
authors.affiliation: International Rice Research Institute (IRRI), Los Baños, Philippines.
authors.forename: Kenneth L
authors.initials: KL
authors.lastname: McNally
authors.affiliation: Departments of Plant Pathology and Agronomy, Kansas State University, Manhattan, KS, USA.
authors.forename: Jesse
authors.initials: J
authors.lastname: Poland
authors.affiliation: Department of Biology, Colorado State University, Fort Collins, CO, USA.
authors.forename: Daniel R
authors.initials: DR
authors.lastname: Bush
authors.affiliation: International Rice Research Institute (IRRI), Los Baños, Philippines.
authors.forename: Hei
authors.initials: H
authors.lastname: Leung
authors.affiliation: Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO, USA.
authors.forename: Jan E
authors.initials: JE
authors.lastname: Leach
authors.affiliation: Bioagricultural Sciences and Pest Management, Colorado State University, Fort Collins, CO, USA.
authors.forename: John K
authors.initials: JK
authors.lastname: McKay
mesh_terms: D000383:Agriculture; D000483:Alleles; D018533:Biomass; D002874:Chromosome Mapping; D002523:Edible Grain / Q000254:growth & development; D014644:Genetic Variation; D018745:Genome, Plant; D005838:Genotype; D012275:Oryza / Q000235:genetics* / Q000254:growth & development; D010641:Phenotype; D040641:Quantitative Trait Loci