Machine learning applications to improve flavor and nutritional content of horticultural crops through breeding and genetics.

trition, we expect breeding to increase its prioritization toward these traits. Reaching this goal will, in part, necessitate knowledge of the genetic architecture controlling these traits, as well as the development of breeding methods that maximize their genetic gain. Can artificial intelligence (AI) help predict flavor preferences, and can such insights be leveraged by breeding programs? In this Perspective, we outline both the opportunities and challenges for the development of more flavorful and nutritious crops, and how AI can support these breeding initiatives.
MeSH Term
Artificial Inte

原文链接：https://ngdc.cncb.ac.cn/openlb/publication/OLB-PM-37515935