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João Vasco Silva

Researcher at Wageningen University and Research Centre

Publications -  34
Citations -  963

João Vasco Silva is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Yield gap & Yield (finance). The author has an hindex of 11, co-authored 28 publications receiving 467 citations. Previous affiliations of João Vasco Silva include International Maize and Wheat Improvement Center & International Rice Research Institute.

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Cereal yield gaps across Europe

TL;DR: In this paper, the authors used a country-by-country, bottom-up approach to establish statistical estimates of actual grain yield, and compare these to modelled estimates of potential yields for either irrigated or rainfed conditions.
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Explaining rice yields and yield gaps in Central Luzon, Philippines: An application of stochastic frontier analysis and crop modelling

TL;DR: In this article, the authors decompose the yield gap into efficiency, resource and technology yield gaps for irrigated lowland rice-based farming systems in Central Luzon, Philippines, and to explain those yield gaps using data related to crop management, biophysical constraints and available technologies.
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Review of yield gap explaining factors and opportunities for alternative data collection approaches

TL;DR: In this article, a review of yield gap studies (50 agronomic-based peer-reviewed articles) was performed to identify the most commonly considered and explaining factors of the yield gap.
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Yield gaps in rice-based farming systems: Insights from local studies and prospects for future analysis

TL;DR: In this paper, the authors reviewed the existing literature to assess the methods used to estimate rice yield gaps at a local scale and to summarize the yield gaps estimated in those studies, identify practical methods of analysis that provides realistic estimates of exploitable rice yield gap, and provide recommendations for future studies on rice yields that will allow accurate interpretation of available data at local level.