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APPLICATION OF UAS BIOMASS LONGITUDINAL PHENOTYPES TO SELECTION IN SOYBEAN BREEDING TRIALS

Investigators
Rainey, K. M.; Cherkauer, Ke, .; Brito, Lu, .; Xavier, Al, .
Institutions
Purdue University
Start date
2020
End date
2023
Objective
a.2.1 Objective 1: Improve the accuracy and automation of UAS image analyses to develop novel longitudinal phenotypes for genetic improvement of soybean yield, and validate the phenotypes in public soybean breeding germplasm from the north central region.a.2.3 Objective 2: In a selection experiment in a breeding pipeline, test genomic prediction models incorporating image-based longitudinal phenotypes for genomic selection of yield in soybean breeding programs using random regression models, genome-wide markers and pedigree data.?
Funding Source
Nat'l. Inst. of Food and Agriculture
Project source
View this project
Project number
IND00068834G1
Accession number
1022482