In-field whole-plant maize architecture characterized by subcanopy rovers and latent space phenotype скачать в хорошем качестве

In-field whole-plant maize architecture characterized by subcanopy rovers and latent space phenotype

Collecting useful, interpretable, and biologically relevant phenotypes in a resource‐efficient manner is a bottleneck to plant breeding, genetic mapping, and genomic prediction. Joseph Gage of Cornell University discusses how his team used subcanopy rovers to efficiently generate sensor‐based datasets of in‐field crop plants. Date recorded: Monday, March 2, 2020, 11am CST Associated article in The Plant Phenome Journal: In‐Field Whole‐Plant Maize Architecture Characterized by Subcanopy Rovers and Latent Space Phenotyping Read the article: https://doi.org/10.2135/tppj2019.07.0011 Additional Resources: You can view more about Dr. Gage: https://www.maizegenetics.net/joegage And his recent publications here: https://scholar.google.com/citations?...