Quantifying how climatic factors affect variation in plant disease severity: A general method using a new way to analyze meteorological data
- 1 February 1988
- journal article
- research article
- Published by Springer Nature in Climatic Change
- Vol. 12 (1) , 57-75
- https://doi.org/10.1007/bf00140264
Abstract
No abstract availableThis publication has 19 references indexed in Scilit:
- Predicting Stripe Rust Severity on Winter Wheat Using an Improved Method for Analyzing Meteorological and Rust DataPhytopathology®, 1988
- Describing and Quantifying the EnvironmentPlant Disease, 1985
- Development and Commercialization of an In-field Microcomputer Delivery System for Weather-Driven Predictive ModelsPlant Disease, 1984
- Understanding Computers: Applications in Plant PathologyPlant Disease, 1984
- On Julian day notation for meteorological conditionsAgricultural Meteorology, 1983
- Statistical Models for Predicting Stripe Rust on Winter Wheat in the Pacific NorthwestPhytopathology®, 1982
- Quantitative Relationships Between Climatic Variables and Stripe Rust Epidemics on Winter WheatPhytopathology®, 1981
- The Effect of Climate Variability on Stripe Rust of Wheat in the Pacific NorthwestPhytopathology®, 1978
- Validation of Regression Models: Methods and ExamplesTechnometrics, 1977
- Weather and Epidemics of Septoria Leaf Blotch of WheatPhytopathology®, 1976