Phenomic selection and prediction of maize grain yield from near-infrared reflectance spectroscopy

Near-infrared reflectance spectroscopy (NIRS), has been traditionally used to quantify grain composition at high throughput and low costs. Holly Lane of Texas A&M, College Station, presents evidence to suggest that NIRS data can be used as phenomic data to assist in the selection process by providing information about the genetic value of samples. Date recorded: Monday, May 4, 2020 Associated article in The Plant Phenome Journal: Phenomic selection and prediction of maize grain yield from near-infrared reflectance spectroscopy of kernels Read the article: https://doi.org/10.1002/ppj2.20002 Additional Resources: Ms. Lane’s LinkedIn:   / hollyylane   and you can also follow her on twitter: @HLplants

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