A Probabilistic Bio-Economic Assessment of the Global Consequences of Wheat Leaf Rust

Author:

Chai Yuan1ORCID,Pardey Philip G.12,Hurley Terrance M.12,Senay Senait D.13,Beddow Jason M.4

Affiliation:

1. GEMS Agroinformatics Initiative, University of Minnesota, St. Paul, MN 55108

2. Stakman-Borlaug Cereal Rust Center at the University of Minnesota, St. Paul, MN 55108

3. Department of Plant Pathology, University of Minnesota, St. Paul, MN 55108

4. GEMS Agroinformatics Initiative and Stakman-Borlaug Cereal Rust Center, University of Minnesota, St. Paul, MN 55108 (deceased)

Abstract

This study provides a bio-economic assessment of the global climate suitability and probabilistic crop-loss estimates attributable to wheat leaf rust. We draw on a purpose-built, spatially explicit, ecoclimatic suitability model for wheat leaf rust to estimate that 94.4% of global wheat production is vulnerable to the disease. To reflect the spatiotemporal variation in leaf rust losses, we used a probabilistic approach to estimate a representative rust loss distribution based on long-term, state-level annual U.S. loss estimates. Applying variants of this representative loss distribution to selected wheat production areas in 15 epidemiological zones throughout the world, we project global annual average losses of 8.6 million metric tons of grain for the period 2000 to 2050 based on a conservative, baseline scenario, and 18.3 million metric tons based on a high-loss scenario; equivalent to economic losses ranging from $1.5 to $3.3 billion per year (2016 U.S. prices). Even the more conservative baseline estimate implies that a sustained, worldwide investment of $50.5 million per year in leaf rust research is economically justified.

Publisher

Scientific Societies

Subject

Plant Science,Agronomy and Crop Science

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