Machine Learning-Based Identification of Mating Type and Metalaxyl Response in <i>Phytophthora infestans</i> Using SSR Markers.

Machine Learning-Based Identification of Mating Type and Metalaxyl Response in Phytophthora infestans Using SSR Markers.

Agho, Collins A; Sliwka, Jadwiga; Nassar, Helina; Niinemets, Ülo; Runno-Paurson, Eve.

Afiliação

Agho CA; Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 1, 51006 Tartu, Estonia.
Sliwka J; Plant Breeding and Acclimatization Institute-National Research Institute in Radzików, Department of Potato Genetics and Parental Lines, Platanowa Str. 19, 05-831 Mlochów, Poland.
Nassar H; Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 1, 51006 Tartu, Estonia.
Niinemets Ü; Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Kreutzwaldi 1, 51006 Tartu, Estonia.
Runno-Paurson E; Estonian Academy of Sciences, Kohtu 6, 10130 Tallinn, Estonia.

Microorganisms ; 12(5)2024 May 14.

Article em En | MEDLINE | ID: mdl-38792811