about
Tradeoffs between Maize Silage Yield and Nitrate Leaching in a Mediterranean Nitrate-Vulnerable Zone under Current and Projected Climate ScenariosHow do various maize crop models vary in their responses to climate change factors?Multimodel ensembles of wheat growth: many models are better than one.Response of wheat growth, grain yield and water use to elevated CO2 under a Free-Air CO2 Enrichment (FACE) experiment and modelling in a semi-arid environmentCan Impacts of Climate Change and Agricultural Adaptation Strategies Be Accurately Quantified if Crop Models Are Annually Re-Initialized?Brief history of agricultural systems modelingToward a new generation of agricultural system data, models, and knowledge products: State of agricultural systems science.Contribution of Crop Models to Adaptation in Wheat.Hot spots of wheat yield decline with rising temperatures.Complex water management in modern agriculture: Trends in the water-energy-food nexus over the High Plains Aquifer.The uncertainty of crop yield projections is reduced by improved temperature response functions.Selecting optimal hyperspectral bands to discriminate nitrogen status in durum wheat: a comparison of statistical approaches.Environmental and economic benefits of variable rate nitrogen fertilization in a nitrate vulnerable zone.Assessing uncertainties in crop and pasture ensemble model simulations of productivity and N2 O emissions.Estimating plant distance in maize using Unmanned Aerial Vehicle (UAV).Olive Agroecosystems in the Mediterranean Basin: Multitrophic Analysis of Climate Effects with Process-based Representation of Soil Water BalanceDrivers of within-field spatial and temporal variability of crop yield across the US MidwestNO and CO emissions following repeated application of organic and mineral N fertiliser from a vegetable crop rotationA statistical analysis of three ensembles of crop model responses to temperature and CO 2 concentrationSimilar estimates of temperature impacts on global wheat yield by three independent methodsRising temperatures reduce global wheat productionClassifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation changeCrop model improvement reduces the uncertainty of the response to temperature of multi-model ensemblesUncertainty of wheat water use: Simulated patterns and sensitivity to temperature and CO 2How accurately do maize crop models simulate the interactions of atmospheric CO2 concentration levels with limited water supply on water use and yield?Multi-wheat-model ensemble responses to interannual climate variabilityTemperature and precipitation effects on wheat yield across a European transect: a crop model ensemble analysis using impact response surfacesUncertainty in simulating wheat yields under climate changeRemote estimation of chlorophyll on two wheat cultivars in two rainfed environmentsLong-term wheat response to nitrogen in a rainfed Mediterranean environment: Field data and simulation analysisLandscape Position and Precipitation Effects on Spatial Variability of Wheat Yield and Grain Protein in Southern ItalyEvaluating the fidelity of downscaled climate data on simulated wheat and maize production in the southeastern USLong-term nitrate loss along an agricultural intensity gradient in the Upper Midwest USAProcedures for Initializing Soil Organic Carbon Pools in the DSSAT-CENTURY Model for Agricultural SystemsThe contribution of maize cropping in the Midwest USA to global warming: A regional estimateUrban water sustainability: framework and applicationMultimodel ensembles improve predictions of crop-environment-management interactionsThe Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studiesClimate change impact and adaptation for wheat proteinGlobal wheat production with 1.5 and 2.0°C above pre‐industrial warming
P50
Q28602342-88E32B1E-688A-45B8-9967-C5BB8B82399FQ30727193-B185790A-3CFB-4960-AD68-8203CE10691BQ30862883-EB4ED3D4-2435-47F4-847E-A12E21FBDA52Q30875398-E612EFE6-4E47-4BC1-94F8-12BD5E58F8DCQ30965498-6B0495D2-8D79-4553-B3D7-838CA37AB3E0Q33837315-4224A045-BB2F-453C-A58F-B6F385AFFC98Q33837440-AE6DDEBE-1FE2-40EF-814C-11D2C7054EE6Q36340479-C0A4BB90-D340-43FF-A22F-DEC84A8EBDB5Q38793897-DD68F3AE-8249-45B8-BB26-32DDCAC45E88Q38848482-1F55EF14-BFC2-4D9E-BE7E-B13C291617F0Q39573048-438850A6-CCC3-421C-A9C7-2AA76D6B4052Q39962972-85F117D4-108F-4776-8412-E1BC7169197FQ40126642-6F04F0B6-4D6F-41E0-A872-760C8089B071Q46272771-63A09107-20F3-4A9E-A65E-93B6187487E2Q52574409-1E6349AA-44D0-4E56-A0B8-662893C8A924Q56944752-E33C5408-C129-489E-AA9D-37A205ECA352Q57032001-6BE4A333-C7BC-4EE5-A73C-29828006F083Q57070488-B3598785-1390-49E9-A6F0-8CFBECE1B2E1Q57146962-A498A0A5-DBE9-4AF6-B33A-D134844D0C34Q57161257-BE8E8358-B392-4510-867C-9444D8BA9648Q57161299-13E1D481-E6AF-4E03-928A-4B7B76E629ACQ57197360-8B35327C-A641-4505-BC58-450AD1EAAD7CQ57197373-1505D694-39F0-4321-B3F4-3952CAC4A3CEQ57197380-C8BF0729-3CC6-413D-B99F-85536E45DA7FQ57197382-F7FA7286-531A-4AEC-92CB-79209496D28EQ57197383-4F960E8E-09CF-4C09-BD4C-9B2279B60BC0Q57197397-C8A09207-5DE4-416A-8AA2-BB6D9E0D6B43Q57197412-F551235D-EA65-4B53-8044-C903A64D4983Q57199009-496D3529-1ADB-4F60-B395-1A19B0009CBEQ57199024-11FF971B-3CF1-440F-BE3F-ED8DD06B1FC3Q57199038-BA48D4BA-DC1B-40DA-9A3D-C5C40658596AQ57426122-9C38C9BC-92B3-4B07-A868-C6AE1A0826E9Q57597142-43EDEFCC-63A3-4846-B6A7-4E82114F7FE3Q57597160-82CD825E-9AEA-46E2-9507-387169297B02Q57597165-B693680E-13ED-4941-9649-36363E77D321Q58320668-81ACA374-B174-440A-992C-5C8FB06D4994Q58390092-B3E1F54F-BA99-48B7-B047-C5DA790D8B99Q58392101-4BB3835E-C22A-4332-9C15-1AD5B6D0E413Q61821173-2ADBB653-6B63-4545-ACEB-01BBE2527A3EQ61821486-B8F078AC-4A13-4A85-9DD6-37BFEA40EAA6
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Bruno Basso
@ast
Bruno Basso
@en
Bruno Basso
@es
Bruno Basso
@nl
Bruno Basso
@sl
type
label
Bruno Basso
@ast
Bruno Basso
@en
Bruno Basso
@es
Bruno Basso
@nl
Bruno Basso
@sl
prefLabel
Bruno Basso
@ast
Bruno Basso
@en
Bruno Basso
@es
Bruno Basso
@nl
Bruno Basso
@sl
P1053
A-3128-2012
P106
P21
P31
P3829
P496
0000-0003-2090-4616