Data from: Field-based high throughput phenotyping rapidly identifies genomic regions controlling yield components in rice

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.