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dc.contributor.authorANTOLIN, L. A. S.pt_BR
dc.contributor.authorCOSTA NETO, G. M. F.pt_BR
dc.contributor.authorBORGES, M. G.pt_BR
dc.contributor.authorHEINEMANN, A. B.pt_BR
dc.date.accessioned2015-09-29T11:11:11Zpt_BR
dc.date.available2015-09-29T11:11:11Zpt_BR
dc.date.created2015-09-29pt_BR
dc.date.issued2015pt_BR
dc.identifier.citationIn: INOVAGRI INTERNATIONAL MEETING, 3., 2015, Fortaleza. Anais... Fortaleza: INI, 2015.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1025281pt_BR
dc.descriptionGoiás State is considered the major common beans producer in the autumn/winter season. In this season, the common beans production is fully irrigated by Center Pivot. However, due to the water scarcity water, the water dispute among human consumption, power generation, industries and agriculture is increasing. Then, it is important to optimize their consumption in the agriculture. Crop models are excellent tools for that and were used in this study to simulate the irrigation efficiency during the winter season for two cultivars, Pérola and BRS Radiante. Five planting dates from April to August and five irrigation amounts (10, 15, 20, 25 and 30 mm) applied when the soil water content reaches 50% of field capacity (CC) were considered. For cultivar Pérola, longer cycle, the best irrigation efficiency was obtained at the end of planting season, in the month of August, for the fixed irrigation amounts of 20 and 25 mm respectively. In the other hand, for the short cycle cultivar, BRS Radiante, the best irrigation efficiency was obtained only at the begin of planting date season, April.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectCROPGROpt_BR
dc.titleIrrigation efficiency simulation for common bean during dry season, in the municipality of Goiânia, Goiás.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2016-03-22T11:11:11Zpt_BR
dc.subject.thesagroFeijãopt_BR
dc.subject.thesagroPhaseolus vulgarispt_BR
dc.subject.thesagroEvapotranspiraçãopt_BR
dc.subject.thesagroIrrigaçãopt_BR
dc.subject.thesagroSecapt_BR
dc.subject.thesagroModelo de simulaçãopt_BR
riaa.ainfo.id1025281pt_BR
riaa.ainfo.lastupdate2016-03-22pt_BR
dc.identifier.doi10.12702/iii.inovagri.2015-a217pt_BR
dc.contributor.institutionLUIS ALBERTO S. ANTOLIN, UFGpt_BR
dc.contributor.institutionGERMANO MARTINS F. COSTA NETO, UFGeng
dc.contributor.institutionM. G. BORGESeng
dc.contributor.institutionALEXANDRE BRYAN HEINEMANN, CNPAF.eng
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