Abstract
Mathematical models are a useful part of extension and researcher collaboration with producers and policymakers. Although many models of large ruminant production exist, with a wide variety of objectives and users, the range available to small ruminant producers is limited. This review summarizes the current state of models available to small ruminant research, identifies data gaps that could be filled to improve representation of current small ruminant production practices, and suggests a framework that could be used to develop a suite of models to improve small ruminant research at the research and consultant levels and research and teaching levels and to improve system-level assessment of environmental impacts.
| Original language | English |
|---|---|
| Pages (from-to) | 114-129 |
| Journal | Applied Animal Science |
| Volume | 35 |
| Issue number | 1 |
| Early online date | 30 Jan 2019 |
| DOIs | |
| Publication status | Published - Feb 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 2 Zero Hunger
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