Title
A risk assessment framework for seed degeneration: Informing an integrated seed health strategy for vegetatively propagated crops
Date Issued
01 October 2017
Access level
open access
Resource Type
journal article
Author(s)
Thomas-Sharma S.
Carvajal Yepes M.
Hernandez Nopsa J.
Jeger M.
Jones R.
Kromann P.
Legg J.
Yuen J.
Forbes G.
Garrett K.
Publisher(s)
American Phytopathological Society
Abstract
Pathogen buildup in vegetative planting material, termed seed degeneration, is a major problem in many low-income countries. When smallholder farmers use seed produced on-farm or acquired outside certified programs, it is often infected. We introduce a risk assessment framework for seed degeneration, evaluating the relative performance of individual and combined components of an integrated seed health strategy. The frequency distribution of management performance outcomes was evaluated for models incorporating biological and environmental heterogeneity, with the following results. (1) On-farm seed selection can perform as well as certified seed, if the rate of success in selecting healthy plants for seed production is high; (2) when choosing among within-season management strategies, external inoculum can determine the relative usefulness of ‘incidence-altering management’ (affecting the proportion of diseased plants/seeds) and ‘rate-altering management’ (affecting the rate of disease transmission in the field); (3) under severe disease scenarios, where it is difficult to implement management components at high levels of effectiveness, combining management components can be synergistic and keep seed degeneration below a threshold; (4) combining management components can also close the yield gap between average and worst-case scenarios. We also illustrate the potential for expert elicitation to provide parameter estimates when empirical data are unavailable.
Start page
1123
End page
1135
Volume
107
Issue
10
Language
English
OCDE Knowledge area
Agricultura
Subjects
Scopus EID
2-s2.0-85032623878
PubMed ID
Source
Phytopathology
ISSN of the container
0031949X
Sponsor(s)
We appreciate very helpful input from Phytopathology reviewers. KAG, STS, and GAF developed the framework and model with input from all authors. STS and KAG wrote the R code. STS performed the computational experiments. STS interviewed experts for the expert elicitation component. STS, KAG, and GAF wrote the manuscript with input from all authors. This work was supported by the CGIAR Research Program on Roots, Tubers, and Bananas, the CGIAR Research Program on Climate Change, Agriculture and Food Security, the Kansas Agricultural Experiment Station, an NSF-BMGF BREAD Idea Challenge Award to STS, US NSF Grant EF-0525712 as part of the joint NSF-NIH Ecology of Infectious Disease program, US NSF Grant DEB-0516046, the National Institute for Mathematical and Biological Synthesis (NIMBioS), and the University of Florida. We thank scientists at the following institutions for their participation in the expert elicitation study: Central Tuber Crop Research Institute, Thiruvananthapuram, India; Banana Research Station, Kannara, India; Kerala Agricultural University (KAU), Thrissur, India; KAU, Thiruvananthapuram, India; National Research Center for Banana, Tiruchirapalli, India; International Institute of Tropical Agriculture (IITA), Dar es Salam, Tanzania; IITA Ibadan, Nigeria; University of Queensland, Brisbane, Australia; International Potato Center (CIP), Quito, Ecuador; CIP, Lima, Peru; CIP, Beijing, China; and Indian Agricultural Research Institute, New Delhi, India.
Sources of information:
Directorio de Producción Científica
Scopus