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Forecasting Root Rot Disease through Predictive Microbial Functional Profiling

open access: yesAdvanced Science, EarlyView.
Predicting soil‐borne disease moves beyond observation with a framework that elevates microbial functional genes into reliable forecasting biomarkers. By coupling targeted qPCR assays for core stress‐response genes with machine learning, this method detects root rot risks in pre‐symptomatic soils with over 80% accuracy.
Chuan You   +11 more
wiley   +1 more source

Evaluating iSAT climate-informed agro-advisories for farm decisions and system performance in Senegal's drylands. [PDF]

open access: yesSci Rep
Joseph JE   +9 more
europepmc   +1 more source
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Reconsidering Agricultural Extension

The World Bank Research Observer, 1997
The institutional design of agricultural extension programs in developing countries has always been subject to heated debate. But whereas previous disagreements centered on the relative efficacy of different organizational approaches to public service delivery, the questions currently raised by agricultural policymakers and extension practitioners go ...
R. Picciotto, J. R. Anderson
openaire   +1 more source

Gender Inequality and Agricultural Extension

The Journal of Agricultural Education and Extension, 2013
This special issue of the Journal of Agricultural Education and Extension focuses on the issue of gender inequality and agricultural extension.
Jafry, Tahseen, Sulaiman V, Rasheed
openaire   +1 more source

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