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Estimating yield gaps at the cropping system level()

Yield gap analyses of individual crops have been used to estimate opportunities for increasing crop production at local to global scales, thus providing information crucial to food security. However, increases in crop production can also be achieved by improving cropping system yield through modific...

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Detalles Bibliográficos
Autores principales: Guilpart, Nicolas, Grassini, Patricio, Sadras, Victor O., Timsina, Jagadish, Cassman, Kenneth G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Scientific Pub. Co 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421155/
https://www.ncbi.nlm.nih.gov/pubmed/28515571
http://dx.doi.org/10.1016/j.fcr.2017.02.008
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author Guilpart, Nicolas
Grassini, Patricio
Sadras, Victor O.
Timsina, Jagadish
Cassman, Kenneth G.
author_facet Guilpart, Nicolas
Grassini, Patricio
Sadras, Victor O.
Timsina, Jagadish
Cassman, Kenneth G.
author_sort Guilpart, Nicolas
collection PubMed
description Yield gap analyses of individual crops have been used to estimate opportunities for increasing crop production at local to global scales, thus providing information crucial to food security. However, increases in crop production can also be achieved by improving cropping system yield through modification of spatial and temporal arrangement of individual crops. In this paper we define the cropping system yield potential as the output from the combination of crops that gives the highest energy yield per unit of land and time, and the cropping system yield gap as the difference between actual energy yield of an existing cropping system and the cropping system yield potential. Then, we provide a framework to identify alternative cropping systems which can be evaluated against the current ones. A proof-of-concept is provided with irrigated rice-maize systems at four locations in Bangladesh that represent a range of climatic conditions in that country. The proposed framework identified (i) realistic alternative cropping systems at each location, and (ii) two locations where expected improvements in crop production from changes in cropping intensity (number of crops per year) were 43% to 64% higher than from improving the management of individual crops within the current cropping systems. The proposed framework provides a tool to help assess food production capacity of new systems (e.g. with increased cropping intensity) arising from climate change, and assess resource requirements (water and N) and associated environmental footprint per unit of land and production of these new systems. By expanding yield gap analysis from individual crops to the cropping system level and applying it to new systems, this framework could also be helpful to bridge the gap between yield gap analysis and cropping/farming system design.
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spelling pubmed-54211552017-05-15 Estimating yield gaps at the cropping system level() Guilpart, Nicolas Grassini, Patricio Sadras, Victor O. Timsina, Jagadish Cassman, Kenneth G. Field Crops Res Article Yield gap analyses of individual crops have been used to estimate opportunities for increasing crop production at local to global scales, thus providing information crucial to food security. However, increases in crop production can also be achieved by improving cropping system yield through modification of spatial and temporal arrangement of individual crops. In this paper we define the cropping system yield potential as the output from the combination of crops that gives the highest energy yield per unit of land and time, and the cropping system yield gap as the difference between actual energy yield of an existing cropping system and the cropping system yield potential. Then, we provide a framework to identify alternative cropping systems which can be evaluated against the current ones. A proof-of-concept is provided with irrigated rice-maize systems at four locations in Bangladesh that represent a range of climatic conditions in that country. The proposed framework identified (i) realistic alternative cropping systems at each location, and (ii) two locations where expected improvements in crop production from changes in cropping intensity (number of crops per year) were 43% to 64% higher than from improving the management of individual crops within the current cropping systems. The proposed framework provides a tool to help assess food production capacity of new systems (e.g. with increased cropping intensity) arising from climate change, and assess resource requirements (water and N) and associated environmental footprint per unit of land and production of these new systems. By expanding yield gap analysis from individual crops to the cropping system level and applying it to new systems, this framework could also be helpful to bridge the gap between yield gap analysis and cropping/farming system design. Elsevier Scientific Pub. Co 2017-05 /pmc/articles/PMC5421155/ /pubmed/28515571 http://dx.doi.org/10.1016/j.fcr.2017.02.008 Text en © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Guilpart, Nicolas
Grassini, Patricio
Sadras, Victor O.
Timsina, Jagadish
Cassman, Kenneth G.
Estimating yield gaps at the cropping system level()
title Estimating yield gaps at the cropping system level()
title_full Estimating yield gaps at the cropping system level()
title_fullStr Estimating yield gaps at the cropping system level()
title_full_unstemmed Estimating yield gaps at the cropping system level()
title_short Estimating yield gaps at the cropping system level()
title_sort estimating yield gaps at the cropping system level()
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421155/
https://www.ncbi.nlm.nih.gov/pubmed/28515571
http://dx.doi.org/10.1016/j.fcr.2017.02.008
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