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		<doi>10.13031/trans.59.11588</doi>
		<issn>2151-0032</issn>
		<citationkey>ResendeMiraChouCook:2016:EfCoPr</citationkey>
		<title>Regional climate change and drainage systems: effects on corn productivity and profitability in campinas, brazil</title>
		<year>2016</year>
		<typeofwork>journal article</typeofwork>
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		<author>Resende, Nicole,</author>
		<author>Miranda, J. H.,</author>
		<author>Chou, Sin Chan,</author>
		<author>Cooke, R. A.,</author>
		<group></group>
		<group></group>
		<group>DMD-CPT-INPE-MCTI-GOV-BR</group>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>Universidade de São Paulo (USP)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>University of Illinois</affiliation>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>chou.sinchan@cptec.inpe.br</electronicmailaddress>
		<journal>Transactions of the American Society of Agricultural and Biological Engineers</journal>
		<volume>59</volume>
		<number>6</number>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
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		<keywords>Climate change, Corn productivity, Drainage system, Eta model, SISDRENA model.</keywords>
		<abstract>Many natural systems are being affected by regional climate change. The hypothesis of this article is that regional climate change may affect the profitability and productivity of corn, which may require changes in the optimum de - sign of drainage systems in the future. Our aim is to determine the effects of regional climate change on the relationship between drain spacing, corn productivity, and profitability and to derive estimates of productivity and profitability until the year 2100 using different future scenarios of climate simulation (CNTRL, HIGH, LOW, and MIDI). Our goal is to opti - mize drainage system designs that account for changes in climate using different drain spacing and types of soil in Campinas, Brazil. This study also evaluates the performance of the Eta regional climate model to simulate precipitation and air temperature for the study area. Evapotranspiration calculated with the Thornthwaite method (using observed and simu - lated data) and precipitation data were used as input for the SISDRENA model, which evaluates the performance of onedimensional drainage systems. As output, the SISDRENA model provides information about drainage system design and indexes of water stress, productivity, and profitability. The general conclusion is that the Eta model is a good tool for studying the effects of climate change in the region because the simulations approximated the observed data. All sets of analyzed years indicated that a spacing of 20 m between drains was best, producing the highest average productivity and profitability. Clay loam soils tended to have higher productivity and profitability than clay soils, which translates to greater profit for the producer. However, the temperature and precipitation variations predicted by the Eta model showed that corn profitability may be reduced, changing the potential productivity in Campinas, Brazil.</abstract>
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		<language>en</language>
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