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Pasquale Steduto

Researcher at Food and Agriculture Organization

Publications -  69
Citations -  13588

Pasquale Steduto is an academic researcher from Food and Agriculture Organization. The author has contributed to research in topics: Water resources & Deficit irrigation. The author has an hindex of 41, co-authored 68 publications receiving 11336 citations. Previous affiliations of Pasquale Steduto include University of California, Davis & United Nations.

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AquaCrop-The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles

TL;DR: The FAO crop model AquaCrop as mentioned in this paper is a water-driven growth engine, in which transpiration is calculated first and translated into biomass using a conservative, crop-specific parameter: the biomass water productivity, normalized for atmospheric evaporative demand and air CO 2 concentration.
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Uncertainty in Simulating Wheat Yields Under Climate Change

Senthold Asseng, +53 more
TL;DR: In this article, the authors present the largest standardized model intercomparison for climate change impacts so far, finding that individual crop models are able to simulate measured wheat grain yields accurately under a range of environments, particularly if the input information is sufficient.
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AquaCrop — The FAO Crop Model to Simulate Yield Response to Water: II. Main Algorithms and Software Description

TL;DR: The AquaCrop model was developed to replace the former FAO I&D Paper 33 procedures for the estimation of crop productivity in relation to water supply and agronomic management in a framework based on current plant physiological and soil water budgeting concepts as discussed by the authors.
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AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: III. Parameterization and Testing for Maize

TL;DR: The first crop chosen to parameterize and test the new FAO AquaCrop model is maize (Zea mays L.). Working mainly with data sets from 6 yr of maize field experiments at Davis, CA, plus another 4 yr of Davis maize canopy data, a set of conservative (nearly constant) parameters, presumably applicable to widely different conditions and not specific to a given crop cultivar, was evaluated by test simulations, and used to simulate the 6 yr Davis data as discussed by the authors.