Machine learning and analysis of genomic diversity of "<i>Candidatus</i> Liberibacter asiaticus" strains from 20 citrus production states in Mexico.

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作者： Jiaquan,Huang ^[1] ; Iobana,Alanís-Martínez ^[2] ; Lucita,Kumagai ^[3] ; Zehan,Dai ^[4] ; Zheng,Zheng ^[1] ; Adalberto A,Perez de Leon ^[1] ; Jianchi,Chen ^[5] ; Xiaoling,Deng ^[5]

作者单位： Department of Plant Pathology, South China Agricultural University, Guangzhou, Guangdong, China. ^[1] Center for Biological Science and Technology, Advanced Institute of Natural Sciences, Beijing Normal University at Zhuhai, Zhuhai, Guangdong, China. ^[2] National Station of Plant Epidemiology, Quarantine and Sanitation, SENASICA, Queretaro, Mexico. ^[3] Plant Pest Diagnostic Center, California Department of Food and Agriculture, Sacramento, CA, United States. ^[4] United States Department of Agriculture-Agricultural Research Service (USDA-ARS), San Joaquín Valley Agricultural Sciences Center, Parlier, CA, United States. ^[5]

关键词 citrus HLB genomic diversity machine learning mexico HLB principal component analysis (PCA)single nucleotide polymorphisms sparse partial least squares discriminant analysis (sPLS-DA)“Candidatus Liberibacter asiaticus”

DOI 10.3389/fpls.2022.1052680

PMID 36589083

发布时间 2023-01-03

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Frontiers in plant science

2022年13卷

1052680页

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Machine learning and analysis of genomic diversity of "<i>Candidatus</i> Liberibacter asiaticus" strains from 20 citrus production states in Mexico.

Frontiers in plant science

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Frontiers in plant science

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Machine learning and analysis of genomic diversity of "<i>Candidatus</i> Liberibacter asiaticus" strains from 20 citrus production states in Mexico.

Frontiers in plant science

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Frontiers in plant science

相关期刊

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