Work

Geostatistical Modeling Improves Prediction of Macrophomina phaseolina Abundance and Distribution in Soybean Fields

Year: 2024

Type: article

Source: Phytopathology

DOI: 10.1094/phyto-04-24-0139-r

Authors: Sandip Mondal, Emile Gluck-Thaler, Cristhian J. Grabowski Ocampos, Enrique Hahn Villalba, Terry L. Niblack, Aida L. Orrego Fuente, Lidia M. Pedrozo, Timothy I. Ralston, Laura C. Soilan, Horacio D. Lopez-Nicora

Institutions: The Ohio State University, University of Wisconsin–Madison, Wisconsin Institutes for Discovery, Universidad Nacional de Asunción, Universidad Católica Nuestra Señora de la Asunción

Language: English

Topic: Plant Pathogens and Fungal Diseases

Subfield: Cell Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDGs: Zero hunger, Life on land

Open Access status: closed

Funder: Wisconsin Alumni Research Foundation

OpenAlex ID: W4404524959

FWCI:

Cites: 71

Cited by:

Related to: 10