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

Area of Science:

• Agricultural Science
• Genetics
• Plant Breeding

Background:

• Global food security is threatened by population growth, diminishing agricultural resources, and climate change.
• Current crop yield increases are insufficient to meet future demands.
• Novel genetic discovery and breeding approaches are essential for enhancing crop productivity.

Purpose of the Study:

• To assess the efficacy of field-based high-throughput phenotyping (HTP) in identifying genetic variations for key crop traits in rice.
• To demonstrate HTP's potential in large-scale genetic mapping for crop improvement.

Main Methods:

• Utilized a large recombinant rice population derived from a cross between a modern cultivar (IR64) and a landrace (Aswina).
• Employed field-based high-throughput phenotyping (HTP) to measure traits including flowering time, height, biomass, grain yield, and harvest index.
• Performed genetic mapping to identify quantitative trait loci (QTL).

Main Results:

• HTP-based detection of QTL was found to be as accurate and effective as traditional phenotyping methods.
• Identified four alleles with a negative impact on grain yield that are present in the modern cultivar IR64.
• Demonstrated that HTP can effectively analyze large populations for genetic trait discovery.

Conclusions:

• Field-based HTP is a powerful tool for identifying genetic variation related to important crop traits in rice.
• HTP of large populations offers a viable strategy for accelerating genetic gains and contributing to a 'second green revolution'.
• Findings highlight the potential for using HTP to uncover genetic resources for enhancing grain yield and overall crop performance.