QTL mapping and omics analysis to identify genes controlling kernel dehydration in maize.

Area of Science:

• Plant genetics
• Agricultural science
• Maize breeding

Background:

• Maize kernels with slow dehydration rates result in high moisture content at harvest, hindering mechanized harvesting in China.
• Developing maize varieties with optimal dehydration rates is crucial for improving harvesting efficiency.

Purpose of the Study:

• To map and screen candidate genes controlling kernel dehydration in maize.
• To identify quantitative trait loci (QTLs) associated with kernel dehydration rate and moisture content.
• To provide genetic insights for breeding maize suitable for mechanized harvesting.

Main Methods:

• Utilized a recombinant inbred line population from parents with contrasting dehydration rates (Zheng 58 and PH6WC).
• Conducted four years of trait investigation and analysis to identify QTLs.
• Performed omics analysis of parental lines and compared identified QTLs with previous studies.

Main Results:

• Identified 25 QTLs related to kernel dehydration rate and moisture content.
• Six QTLs significantly contributed over 10% to the phenotype.
• Screened and identified three candidate genes (Zm00001d014030, Zm00001d006476, Zm00001d040113) involved in carbohydrate/energy metabolism and stimulus resistance.

Conclusions:

• The identified candidate genes provide a foundation for understanding maize kernel dehydration.
• These findings offer valuable genetic resources for future breeding programs aimed at improving mechanized maize harvesting.