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      Commercial integrated crop-livestock systems achieve comparable crop yields to specialized production systems: A meta-analysis

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      PLoS ONE
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          Abstract

          Production systems that feature temporal and spatial integration of crop and livestock enterprises, also known as integrated crop-livestock systems (ICLS), have the potential to intensify production on cultivated lands and foster resilience to the effects of climate change without proportional increases in environmental impacts. Yet, crop production outcomes following livestock grazing across environments and management scenarios remain uncertain and a potential barrier to adoption, as producers worry about the effects of livestock activity on the agronomic quality of their land. To determine likely production outcomes across ICLS and to identify the most important moderating variables governing those outcomes, we performed a meta-analysis of 66 studies comparing crop yields in ICLS to yields in unintegrated controls across 3 continents, 12 crops, and 4 livestock species. We found that annual cash crops in ICLS averaged similar yields (-7% to +2%) to crops in comparable unintegrated systems. The exception was dual-purpose crops (crops managed simultaneously for grazing and grain production), which yielded 20% less on average than single-purpose crops in the studies examined. When dual-purpose cropping systems were excluded from the analysis, crops in ICLS yielded more than in unintegrated systems in loamy soils and achieved equal yields in most other settings, suggesting that areas of intermediate soil texture may represent a “sweet-spot” for ICLS implementation. This meta-analysis represents the first quantitative synthesis of the crop production outcomes of ICLS and demonstrates the need for further investigation into the conditions and management scenarios under which ICLS can be successfully implemented.

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          Ecological intensification: harnessing ecosystem services for food security.

          Rising demands for agricultural products will increase pressure to further intensify crop production, while negative environmental impacts have to be minimized. Ecological intensification entails the environmentally friendly replacement of anthropogenic inputs and/or enhancement of crop productivity, by including regulating and supporting ecosystem services management in agricultural practices. Effective ecological intensification requires an understanding of the relations between land use at different scales and the community composition of ecosystem service-providing organisms above and below ground, and the flow, stability, contribution to yield, and management costs of the multiple services delivered by these organisms. Research efforts and investments are particularly needed to reduce existing yield gaps by integrating context-appropriate bundles of ecosystem services into crop production systems. Copyright © 2012 Elsevier Ltd. All rights reserved.
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            Biomass use, production, feed efficiencies, and greenhouse gas emissions from global livestock systems.

            We present a unique, biologically consistent, spatially disaggregated global livestock dataset containing information on biomass use, production, feed efficiency, excretion, and greenhouse gas emissions for 28 regions, 8 livestock production systems, 4 animal species (cattle, small ruminants, pigs, and poultry), and 3 livestock products (milk, meat, and eggs). The dataset contains over 50 new global maps containing high-resolution information for understanding the multiple roles (biophysical, economic, social) that livestock can play in different parts of the world. The dataset highlights: (i) feed efficiency as a key driver of productivity, resource use, and greenhouse gas emission intensities, with vast differences between production systems and animal products; (ii) the importance of grasslands as a global resource, supplying almost 50% of biomass for animals while continuing to be at the epicentre of land conversion processes; and (iii) the importance of mixed crop–livestock systems, producing the greater part of animal production (over 60%) in both the developed and the developing world. These data provide critical information for developing targeted, sustainable solutions for the livestock sector and its widely ranging contribution to the global food system.
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              Productivity limits and potentials of the principles of conservation agriculture.

              One of the primary challenges of our time is to feed a growing and more demanding world population with reduced external inputs and minimal environmental impacts, all under more variable and extreme climate conditions in the future. Conservation agriculture represents a set of three crop management principles that has received strong international support to help address this challenge, with recent conservation agriculture efforts focusing on smallholder farming systems in sub-Saharan Africa and South Asia. However, conservation agriculture is highly debated, with respect to both its effects on crop yields and its applicability in different farming contexts. Here we conduct a global meta-analysis using 5,463 paired yield observations from 610 studies to compare no-till, the original and central concept of conservation agriculture, with conventional tillage practices across 48 crops and 63 countries. Overall, our results show that no-till reduces yields, yet this response is variable and under certain conditions no-till can produce equivalent or greater yields than conventional tillage. Importantly, when no-till is combined with the other two conservation agriculture principles of residue retention and crop rotation, its negative impacts are minimized. Moreover, no-till in combination with the other two principles significantly increases rainfed crop productivity in dry climates, suggesting that it may become an important climate-change adaptation strategy for ever-drier regions of the world. However, any expansion of conservation agriculture should be done with caution in these areas, as implementation of the other two principles is often challenging in resource-poor and vulnerable smallholder farming systems, thereby increasing the likelihood of yield losses rather than gains. Although farming systems are multifunctional, and environmental and socio-economic factors need to be considered, our analysis indicates that the potential contribution of no-till to the sustainable intensification of agriculture is more limited than often assumed.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                7 May 2020
                2020
                : 15
                : 5
                : e0231840
                Affiliations
                [1 ] Department of Plant Sciences, University of California, Davis, CA, United States of America
                [2 ] College of Food, Agricultural, and Environmental Sciences, The Ohio State University, Columbus, OH, United States of America
                Consiglio per la Ricerca e la Sperimentazione in Agricoltura, ITALY
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0002-2876-0357
                http://orcid.org/0000-0003-2001-9238
                Article
                PONE-D-19-36052
                10.1371/journal.pone.0231840
                7205283
                32379773
                e4db7954-0de8-4a4f-9289-22d078a89888
                © 2020 Peterson et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 December 2019
                : 1 April 2020
                Page count
                Figures: 6, Tables: 2, Pages: 25
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100000001, National Science Foundation;
                Award ID: 1650042
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100005825, National Institute of Food and Agriculture;
                Award ID: CA-D-PLS-2332-352H
                Award Recipient :
                This study is based on work supported by the National Science Foundation Graduate Research Fellowship Program under grant number #1650042 (PI: P Mohapatra), an international travel allowance through the NSF-CAPES Graduate Research Opportunities Worldwide program to CP, and by the USDA National Institute of Food and Agriculture Experiment Station Hatch Projects to AG (project CA-D-PLS-2332-352H). NSF website: https://www.nsfgrfp.org/ USDA website: https://nifa.usda.gov/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Biology and Life Sciences
                Psychology
                Behavior
                Animal Behavior
                Grazing
                Social Sciences
                Psychology
                Behavior
                Animal Behavior
                Grazing
                Biology and Life Sciences
                Zoology
                Animal Behavior
                Grazing
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Cereal Crops
                Biology and Life Sciences
                Agriculture
                Livestock
                Biology and Life Sciences
                Agriculture
                Animal Products
                Meat
                Beef
                Biology and Life Sciences
                Nutrition
                Diet
                Food
                Meat
                Beef
                Medicine and Health Sciences
                Nutrition
                Diet
                Food
                Meat
                Beef
                Biology and Life Sciences
                Agriculture
                Agricultural Soil Science
                Ecology and Environmental Sciences
                Soil Science
                Agricultural Soil Science
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Wheat
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Model Organisms
                Maize
                Research and Analysis Methods
                Model Organisms
                Maize
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Maize
                Research and Analysis Methods
                Animal Studies
                Experimental Organism Systems
                Plant and Algal Models
                Maize
                Custom metadata
                The full dataset and accompanying R code are available on the Dryad repository with the following DOI: 10.25338/B8NP6J.

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