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Optimizing a Key Winter Squash Collection with AI
Greg Howard
12th March, 2024
![Optimizing a Key Winter Squash Collection with AI](https://static.naturalsciencenews.com/images/articles/611_main.jpg)
Key Findings
- In Brazil, a study evaluated the nutrition and growth of 91 types of squash (Cucurbita moschata)
- Artificial intelligence grouped squash types efficiently, needing only 15% of samples to represent all
- This smaller, diverse group helps breeders enhance squash nutrition and resilience
AgricultureBiotechPlant Science
References
Main Study
1) Artificial neural networks optimize the establishment of a Brazilian germplasm core collection of winter squash (Cucurbita moschata D.).
Published 11th March, 2024
https://doi.org/10.1038/s41598-024-54818-y
Related Studies
2) Dietary Antioxidants, Circulating Antioxidant Concentrations, Total Antioxidant Capacity, and Risk of All-Cause Mortality: A Systematic Review and Dose-Response Meta-Analysis of Prospective Observational Studies.
3) Phylogeographic and population genetic analyses of Cucurbita moschata reveal divergence of two mitochondrial lineages linked to an elevational gradient.
4) Preceramic adoption of peanut, squash, and cotton in northern Peru.
Journal: Science (New York, N.Y.), Issue: Vol 316, Issue 5833, Jun 2007
5) Phytolith evidence for early Holocene Cucurbita domestication in southwest Ecuador.
Journal: Science (New York, N.Y.), Issue: Vol 299, Issue 5609, Feb 2003