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hagis, an R Package Resource for Pathotype Analysis of Phytophthora sojae Populations Causing Stem and Root Rot of Soybean.
McCoy, Austin G; Noel, Zachary; Sparks, Adam H; Chilvers, Martin.
Afiliación
  • McCoy AG; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, U.S.A.
  • Noel Z; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, U.S.A.
  • Sparks AH; Program in Ecology, Evolutionary Biology, and Behavior, Michigan State University.
  • Chilvers M; University of Southern Queensland, Centre for Crop Health, Toowoomba, Qld 4350, Australia.
Mol Plant Microbe Interact ; 32(12): 1574-1576, 2019 Dec.
Article en En | MEDLINE | ID: mdl-31415224
ABSTRACT
Phytophthora sojae is a significant pathogen of soybean worldwide. Pathotype surveys for Phytophthora sojae are conducted to monitor resistance gene efficacy and determine if new resistance genes are needed. Valuable measurements for pathotype analysis include the distribution of susceptible reactions, pathotype complexity, pathotype frequency, and diversity indices for pathotype distributions. Previously the Habgood-Gilmour Spreadsheet (HaGiS), written in Microsoft Excel, was used for data analysis. However, the growing popularity of the R programming language in plant pathology and desire for reproducible research made HaGiS a prime candidate for conversion into an R package. Here we report on the development and use of an R package, hagis, that can be used to produce all outputs from the HaGiS Excel sheet for P. sojae or other gene-for-gene pathosystem studies.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Parasitología / Phytophthora / Programas Informáticos Idioma: En Revista: Mol Plant Microbe Interact Asunto de la revista: BIOLOGIA MOLECULAR / BOTANICA / MICROBIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Parasitología / Phytophthora / Programas Informáticos Idioma: En Revista: Mol Plant Microbe Interact Asunto de la revista: BIOLOGIA MOLECULAR / BOTANICA / MICROBIOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos