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Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
Computomics
73 episodes
3 days ago
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?
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Nature
Science
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All content for Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions is the property of Computomics and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?
Show more...
Nature
Science
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Cracking the Code of Hybrid Vigor and Crop Adaptation
Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
23 minutes 36 seconds
8 months ago
Cracking the Code of Hybrid Vigor and Crop Adaptation

In this episode, John McKay, Chief Scientific Officer at New West Genetics and professor at Colorado State University, discusses his research on local adaptation, genotype-by-environment interactions, and heterosis. His work spans crops like maize, rice, and hemp, applying evolutionary genetics to improve breeding strategies. John's projects aim to enhance crop efficiency and sustainability.


More information:

New West Genetics hybrid hemp
Genetic basis of plant root growth traits and their response to environment (current NSF grant)
National Science Foundation
Conditional neutrality in Arabidopsis local adaptation
GxE in maize root traits 

Computomics: Discussions On Innovations To Drive Advanced Agriculture Solutions
Discussions with Computomics and guest speakers on topics covering a wide range from bioinformatics, agriculture, farming, crops, food, to specific research projects. How can new technologies like machine learning facilitate solutions for global food challenges?