Affordable Access

deepdyve-link
Publisher Website

Where to Invest Project Efforts for Greater Benefit: A Framework for Management Performance Mapping with Examples for Potato Seed Health.

Authors
  • Buddenhagen, C E1, 2, 3, 4
  • Xing, Y1, 2, 3
  • Andrade-Piedra, J L5
  • Forbes, G A5
  • Kromann, P5, 6
  • Navarrete, I5, 7, 8
  • Thomas-Sharma, S9
  • Choudhury, R A1, 2, 3, 10
  • Andersen Onofre, K F1, 2, 3, 11
  • Schulte-Geldermann, E12, 13
  • Etherton, B A1, 2, 3
  • Plex Sulá, A I1, 2, 3
  • Garrett, K A1, 2, 3
  • 1 Plant Pathology Department, University of Florida, Gainesville, U.S.A.
  • 2 Food Systems Institute, University of Florida, Gainesville, U.S.A.
  • 3 Emerging Pathogens Institute, University of Florida, Gainesville, U.S.A.
  • 4 AgResearch, Ltd., Ruakura, Hamilton, New Zealand. , (New Zealand)
  • 5 International Potato Center, Lima, Peru. , (Peru)
  • 6 Field Crops, Wageningen University and Research, Lelystad, The Netherlands. , (Netherlands)
  • 7 Centre for Crop Systems Analysis, Wageningen University and Research, Wageningen, The Netherlands. , (Netherlands)
  • 8 Knowledge, Technology and Innovation, Wageningen University and Research, Wageningen, The Netherlands. , (Netherlands)
  • 9 Department of Plant Pathology and Crop Physiology, Louisiana State University Agricultural Center, Baton Rouge, U.S.A.
  • 10 School of Earth, Environment, Marine Science, University of Texas, Rio Grande Valley, U.S.A.
  • 11 Department of Plant Pathology, Kansas State University, Manhattan, U.S.A.
  • 12 International Potato Center, Nairobi, Kenya. , (Kenya)
  • 13 Department of Agriculture, University of Applied Sciences Bingen, Bingen, Germany. , (Germany)
Type
Published Article
Journal
Phytopathology
Publisher
Scientific Societies
Publication Date
Jul 01, 2022
Volume
112
Issue
7
Pages
1431–1443
Identifiers
DOI: 10.1094/PHYTO-05-20-0202-R
PMID: 34384240
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Policymakers and donors often need to identify the locations where technologies are most likely to have important effects, to increase the benefits from agricultural development or extension efforts. Higher-quality information may help to target the high-benefit locations, but often actions are needed with limited information. The value of information (VOI) in this context is formalized by evaluating the results of decision making guided by a set of specific information compared with the results of acting without considering that information. We present a framework for management performance mapping that includes evaluating the VOI for decision making about geographic priorities in regional intervention strategies, in case studies of Andean and Kenyan potato seed systems. We illustrate the use of recursive partitioning, XGBoost, and Bayesian network models to characterize the relationships among seed health and yield responses and environmental and management predictors used in studies of seed degeneration. These analyses address the expected performance of an intervention based on geographic predictor variables. In the Andean example, positive selection of seed from asymptomatic plants was more effective at high altitudes in Ecuador. In the Kenyan example, there was the potential to target locations with higher technology adoption rates and with higher potato cropland connectivity, i.e., a likely more important role in regional epidemics. Targeting training to high management performance areas would often provide more benefits than would random selection of target areas. We illustrate how assessing the VOI can contribute to targeted development programs and support a culture of continuous improvement for interventions.[Formula: see text] Copyright © 2022 The Author(s). This is an open access article distributed under the CC BY 4.0 International license.

Report this publication

Statistics

Seen <100 times