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    Agronomic gain: definition, approach, and application

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    Journal Article (1.363Mb)
    Date
    2021-08
    Author
    Saito, K.
    Six, J.
    Komatsu, S.
    Snapp, S.
    Rosenstock, T.S.
    Arouna, A.
    Cole, S.M.
    Taulya, G.
    Vanlauwe, B.
    Type
    Journal Article
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Meeting future global staple crop demand requires continual productivity improvement. Many performance indicators have been proposed to track and measure the increase in productivity while minimizing environmental degradation. However, their use has lagged behind theory, and has not been uniform across crops in different geographies. The consequence is an uneven understanding of opportunities for sustainable intensification. Simple but robust key performance indicators (KPIs) are needed to standardize knowledge across crops and geographies. This paper defines a new term ‘agronomic gain’ based on an improvement in KPIs, including productivity, resource use efficiencies, and soil health that a specific single or combination of agronomic practices delivers under certain environmental conditions. We apply the concept of agronomic gain to the different stages of science-based agronomic innovations and provide a description of different approaches used to assess agronomic gain including yield gap assessment, meta-data analysis, on-station and on-farm studies, impact assessment, panel studies, and use of subnational and national statistics for assessing KPIs at different stages. We mainly focus on studies on rice in sub-Saharan Africa, where large yield gaps exist. Rice is one of the most important staple food crops and plays an essential role in food security in this region. Our analysis identifies major challenges in the assessment of agronomic gain, including differentiating agronomic gain from genetic gain, unreliable in-person interviews, and assessment of some KPIs at a larger scale. To overcome these challenges, we suggest to (i) conduct multi-environment trials for assessing variety × agronomic practice × environment interaction on KPIs, and (ii) develop novel approaches for assessing KPIs, through development of indirect methods using remote-sensing technology, mobile devices for systematized site characterization, and establishment of empirical relationships among KPIs or between agronomic practices and KPIs.
    Acknowledgements
    This study was financially supported by the European Union and International Fund for Agricultural Development (IFAD) under the project “Sustainable and Diversified Rice-based Farming Systems [DCIFOOD/2015/360-968]” under the program “Putting Research into Use for Nutrition, Sustainable Agriculture and Resilience (PRUNSAR)” and CGIAR Excellence in Agronomy 2030 (Incubation Phase), which is funded by the Bill & Melinda Gates Foundation.
    https://dx.doi.org/10.1016/j.fcr.2021.108193
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/7189
    IITA Authors ORCID
    Todd Rosenstockhttps://orcid.org/0000-0002-1958-9500
    Godfrey Taulyahttps://orcid.org/0000-0002-5690-0492
    bernard vanlauwehttps://orcid.org/0000-0001-6016-6027
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1016/j.fcr.2021.108193
    Research Themes
    Natural Resource Management
    IITA Subjects
    Agronomy; Farming Systems; Grain Legumes; Plant Breeding; Plant Production
    Agrovoc Terms
    Oryza Sativa; Agronomy; Productivity; Sustainability
    Hubs
    Eastern Africa Hub; Central Africa Hub
    Journals
    Field Crops Research
    Collections
    • Journal and Journal Articles5078
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