dc.contributorStreck, Nereu Augusto
dc.contributorhttp://lattes.cnpq.br/8121082379157248
dc.contributorZanon, Alencar Junior
dc.contributorhttp://lattes.cnpq.br/7337698178327854
dc.contributorMarin, Fabio Ricardo
dc.contributorFollmann, Diego Nicolau
dc.creatorTagliapietra, Eduardo Lago
dc.date.accessioned2021-11-30T11:30:56Z
dc.date.accessioned2022-10-07T22:50:47Z
dc.date.available2021-11-30T11:30:56Z
dc.date.available2022-10-07T22:50:47Z
dc.date.created2021-11-30T11:30:56Z
dc.date.issued2020-02-05
dc.identifierhttp://repositorio.ufsm.br/handle/1/23060
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/4038507
dc.description.abstractThe yield potential (YP) and water-limited yield potential (WYP) in soybean crop estimated for different regions of Rio Grande do Sul. This information may help to optimize management practices to increase yield and improve resource efficiency. The objectives of this dissertation was (i) to estimate yield potential and yield gaps to soybean for climatic regions in Rio Grande do Sul state, (ii) to identify biophysical and management factors that potentially explain the existing yield gap, and (iii) to identify the yield potentials at different sowing dates and soybean maturity group (MG) and their water use efficiency. The CSM-CROPGRO-Soybean model was used to estimate yield potential and water-limited yield potential for different regions of the Rio Grande do Sul state and a large database representing the variation of weather, soil types, sowing dates and maturity group (MG), represented by data from experiments (2010 - 2019) and data reported by farmers (2016 - 2019) to identify which biophysical and management factors explain the yield gaps. Boundary Function was used to estimate yield potential at sowing and MGs and their water use efficiency. The YP ranged from 6,1 to 7,2 Mg ha-¹ and WYP from 2,5 to 5,1 Mg ha-¹ in the different buffer zones (BZs), being the average YP 6.6 Mg ha-¹ and the WYP 3.9 Mg ha-¹. The yield gap caused by water deficiency was 41% and the yield gap by management was 21%, with sowing date being the main factor causing the yield gap by management. The yield potential ranged from 6.2 to 5.2, from earliest MG (MG ≤ 5.5) to later (MG ≥ 7.0) and water use efficiency was higher for MG ≤ 5.5 (9.6 kg ha-¹ mm-¹) when compared to MG ≥ 7.0 (8.5 kg ha-¹ mm-¹).
dc.publisherUniversidade Federal de Santa Maria
dc.publisherBrasil
dc.publisherEngenharia Agrícola
dc.publisherUFSM
dc.publisherPrograma de Pós-Graduação em Engenharia Agrícola
dc.publisherCentro de Ciências Rurais
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.subjectGlycine max (L.)
dc.subjectGrupo de maturidade relativa
dc.subjectModelos agrícolas
dc.subjectRegiões climáticas
dc.subjectSuprimento de água
dc.subjectMaturity group
dc.subjectCrop models
dc.subjectClimate zones
dc.subjectWater use efficiency
dc.titlePotencial e lacunas de produtividade da cultura da soja para o estado do Rio Grande do Sul
dc.typeDissertação


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