Predictive breeding for maize: Making use of molecular phenotypes, machine learning, and physiological crop models
Author:
Affiliation:
1. Institute for Genomic Diversity Cornell Univ. Ithaca NY 14853 USA
2. Section of Plant Breeding and Genetics Ithaca NY 14850 USA
Funder
US National Science Foundation Postdoctoral Research Fellowship in Biology
USDA-ARS
Publisher
Wiley
Subject
Agronomy and Crop Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20052
Reference146 articles.
1. Development and evaluation of a field-based high-throughput phenotyping platform
2. TEOSINTE AND THE ORIGIN OF MAIZE
3. The rhizosphere microbiome and plant health
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