Multi‐objective optimization of root phenotypes for nutrient capture using evolutionary algorithms
Author:
Affiliation:
1. Department of Plant Science The Pennsylvania State University University Park Pennsylvania USA
2. Microsoft Lincoln Nebraska USA
3. Civil and Environmental Engineering Cornell University Ithaca New York USA
Funder
Foundation for Food and Agriculture Research
National Institute of Food and Agriculture
Publisher
Wiley
Subject
Cell Biology,Plant Science,Genetics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/tpj.15774
Reference72 articles.
1. Integrated root phenotypes for improved rice performance under low nitrogen availability
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3. Ethylene modulates genetic, positional, and nutritional regulation of root plagiogravitropism
4. Multiscale computational models can guide experimentation and targeted measurements for crop improvement
5. Legume shovelomics: High—Throughput phenotyping of common bean (Phaseolus vulgaris L.) and cowpea (Vigna unguiculata subsp, unguiculata) root architecture in the field
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