Spatial frameworks for robust estimation of yield gaps

Food security interventions and policies need reliable estimates of crop production and the scope to enhance production on existing cropland. Here we assess the performance of two widely used ‘top-down’ gridded frameworks (Global Agroecological Zones and Agricultural Model Intercomparison and Improv...

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Detalles Bibliográficos
Otros Autores: Rattalino Edreira, Juan Ignacio, Andrade, José Francisco, Cassman, Kenneth, Ittersum, M. K. van, Loon, M.P. van, Grassini, Patricio
Formato: Artículo
Lenguaje:Inglés
Materias:
AFRICA
AGRICULTURAL LAND
AGRICULTURE
ARTICLE
CEREAL
CONTROLLED STUDY
CROP MANAGEMENT
CROP PRODUCTION
FOOD SECURYTY
HARVEST
OUTCOME ASSESSMENT
PERFORMANCE
PREDICTION
SIMULATION
SPATIAL ANALYSIS
Acceso en línea:http://ri.agro.uba.ar/files/download/articulo/2021rattalinoedreira.pdf
Material complementario
LINK AL EDITOR
Aporte de:Registro referencial: Solicitar el recurso aquí
Biblioteca Central (FAUBA) de Universidad de Buenos Aires
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245 0 0 |a Spatial frameworks for robust estimation of yield gaps 
520 |a Food security interventions and policies need reliable estimates of crop production and the scope to enhance production on existing cropland. Here we assess the performance of two widely used ‘top-down’ gridded frameworks (Global Agroecological Zones and Agricultural Model Intercomparison and Improvement Project) versus an alternative ‘bottom-up’ approach (Global Yield Gap Atlas). The Global Yield Gap Atlas estimates extra production potential locally for a number of sites representing major breadbaskets and then upscales the results to larger spatial scales. We find that estimates from top-down frameworks are alarmingly unlikely, with estimated potential production being lower than current farm production at some locations. The consequences of using these coarse estimates to predict food security are illustrated by an example for sub-Saharan Africa, where using different approaches would lead to different prognoses about future cereal self-sufficiency. Our study shows that foresight about food security and associated agriculture research priority setting based on yield potential and yield gaps derived from top-down approaches are subject to a high degree of uncertainty and would benefit from incorporating estimates from bottom-up approaches. 
590 |a ARTI202306 
650 |2 Agrovoc  |9 26 
653 |a AFRICA 
653 |a AGRICULTURAL LAND 
653 |a AGRICULTURE 
653 |a ARTICLE 
653 |a CEREAL 
653 |a CONTROLLED STUDY 
653 |a CROP MANAGEMENT 
653 |a CROP PRODUCTION 
653 |a FOOD SECURYTY 
653 |a HARVEST 
653 |a OUTCOME ASSESSMENT 
653 |a PERFORMANCE 
653 |a PREDICTION 
653 |a SIMULATION 
653 |a SPATIAL ANALYSIS 
700 1 |a Rattalino Edreira, Juan Ignacio  |u University of Nebraska - Lincoln. Department of Agronomy and Horticulture. Lincoln, NE, USA.  |9 34831 
700 1 |a Andrade, José Francisco  |u University of Nebraska - Lincoln. Department of Agronomy and Horticulture. Lincoln, NE, USA.  |u Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Producción Vegetal. Buenos Aires, Argentina.  |9 38153 
700 1 |a Cassman, Kenneth  |u University of Nebraska - Lincoln. Department of Agronomy and Horticulture. Lincoln, NE, USA.  |9 44324 
700 1 |a Ittersum, M. K. van  |u Wageningen University. Plant Production Systems Group. Wageningen, The Netherlands.  |9 74837 
700 1 |a Loon, M.P. van  |u Wageningen University. Plant Production Systems Group. Wageningen, The Netherlands.  |9 74838 
700 1 |a Grassini, Patricio  |u University of Nebraska - Lincoln. Department of Agronomy and Horticulture. Lincoln, NE, USA.  |9 21153 
773 |t Nature Food  |g Vol.2, (2021), p.773-779, grafs. 
856 |f 2021rattalinoedreira  |i en Internet  |q application/pdf  |u http://ri.agro.uba.ar/files/download/articulo/2021rattalinoedreira.pdf  |x ARTI202306 
856 |f 2021rattalinoedreira-c1  |i en Internet  |q application/pdf  |u http://ri.agro.uba.ar/files/download/articulo/2021rattalinoedreira-c1.pdf  |z Material complementario 
856 |u https://www.nature.com/natfood  |z LINK AL EDITOR 
942 |c ARTICULO 
942 |c ENLINEA 
976 |a AAG 

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