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Data · dataset · 2019

Maize Yield Sensitivities for Nigeria

Listed in Teesside University Research Data Repository

Description

Yield data collated from the Global Yield Gap and Water Productivity Atlas (yieldgap.org/) were used to compute this sensitivity index. In the case of Nigeria yield data were available for the period between 2002 – 2010. The index was computed using the method described by Shi and Tao (2014).

This method involves detrending (multiplicative detrending method) the yield data and this led to the generation of expected yield for each year. The index was then computed as the ration of expected Maize yield divided by the actual linear yield for this period. Detrending has been reported to aid the removal of the potential impact of technology, error in reporting and captures the variations in yield attributable to climate.

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The computed index can be linked to a GIS file (Shapefiles) availble from the Global Yield Gap and Water Productivity Atlas to create a visual representation of the index. High index value indicate high yield sensitivity.

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Provenance · 1 source records, 8 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/s73x3fmbpr.114 h agoJSON v1
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concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[subject].local:topic:climatemapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Climate Change']
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titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title