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Welcome to the AgShare.Today Resource Centre

The AgShare.Today Resource Centre brings together a collection of resources related to agriculture. These include open access scientific journals and best practice guides that can be used for background reading and to support research initiatives. The AgShare Featured Resource showcases a new document each month that the AgShare team recommends to all members.

Global economic trade-offs between wild nature and tropical agriculture

To inform global sustainable land-use policies, this research combines geographic information systems with a meta-analysis of ecosystem services studies to perform a spatially explicit analysis of trade-offs.

Published by: PLOS Biology, Year: 2017, Pages: 22, File type: External link (2,913 KB)

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Adapting agriculture to a changing climate in South Asia

This paper highlights a wide range of climate-smart agriculture options undertaken to address the risks and challenges faced by farmers in South Asia.

Published by: World Agriculture, Year: 2017, Pages: 14, File type: External link (596 KB)

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The search for resistance to cassava mosaic geminiviruses: how much we have accomplished, and what lies ahead

This study identifies that further progress in harnessing natural resistance to contain cassava mosaic geminiviruses has come from the discovery of the dominant monogenic resistance locus, CMD2, in some West African cassava cultivars.

Published by: Frontiers in Plant Science, Year: 2017, Pages: 19, File type: External link (6,421 KB)

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Interventions to improve the labour market outcomes of youth: a systematic review of training, entrepreneurship promotion, employment services and subsidised employment interventions

This systematic review investigates the impact of training and skills development, entrepreneurship promotion, employment services and subsidised employment interventions on the labour market outcomes of young women and men.

Published by: International Labour Organisation, Year: 2017, Pages: 291, File type: External link (4,190 KB)

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VirusDetect: an automated pipeline for efficient virus discovery using deep sequencing of small RNAs

This research presents VirusDetect, a bioinformatics pipeline that can efficiently analyse large-scale small RNA data sets for both known and novel virus identification.

Published by: Virology, Year: 2017, Pages: 9, File type: External link (1,272 KB)

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Reversing land degradation through grasses: a systematic meta-analysis in the Indian tropics

This study analyses the effect of grasses in reversing the process of land degradation using a systematic review.

Published by: Solid Earth, Year: 2017, Pages: 17, File type: External link (4 MB)

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Rates of return to sorghum and millet research investments: a meta-analysis

This study conducted a meta-analysis of 59 sorghum and millet ROR estimates obtained from 25 sources published between 1958 and 2015.

Published by: PLOS One, Year: 2017, Pages: 17, File type: External link (1.8 MB)

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Unravelling complex mixtures of badnavirus sequences present in yam germplasm

In this study, the molecular diversity of partial reverse transcriptase (RT)-ribonuclease H (RNaseH) sequences from yam badnaviruses was analysed using PCR-dependent denaturing gradient gel electrophoresis.

Published by: Viruses, Year: 2017, Pages: 24, File type: External link (3.8 MB)

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Quantitative trait locus associated with resistance to cassava brown streak and cassava mosaic diseases in a bi-parental cross of two Tanzanian farmer varieties, Namikonga and Albert

In this study, a QTL study was conducted to identify molecular markers linked to resistance against cassava brown streak disease and cassava mosaic disease.

Published by: Theoretical and Applied Genetics, Year: 2017, Pages: 22, File type: External link (2 MB)

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Using transfer learning for image-based cassava disease detection

Using a data set of cassava disease images taken in the field in Tanzania, this study applied transfer learning to train a deep convolutional neural network to identify three diseases and two types of pest damage.

Published by: Frontiers in Plant Science, Year: 2017, Pages: 7, File type: External link (2.2 MB)

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