Development of Machine Learning Methods for Accurate Prediction of Plant Disease Resistance

The traditional method of screening plants for disease resistance phenotype is both time-consuming and costly. Genomic selection offers a potential solution to improve efficiency, but accurately predicting plant disease resistance remains a challenge. In this study, we evaluated eight different mach...

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Autori principali:	Qi Liu, Shi-min Zuo, Shasha Peng, Hao Zhang, Ye Peng, Wei Li, Yehui Xiong, Runmao Lin, Zhiming Feng, Huihui Li, Jun Yang, Guo-Liang Wang, Houxiang Kang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2024-09-01
Serie:	Engineering
Soggetti:	Predicting plant disease resistance Genomic selection Machine learning Genome-wide association study
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2095809924002431
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