RESPOSTA DA PRODUÇÃO DE SOJA À VARIABILIDADE ESPACIAL SOB PIVÔ CENTRAL MARIO SANTOS NUNES1; ADROALDO DIAS ROBAINA2; MARCIA XAVIER PEITER3; FABIANO DE VARGAS ARIGONY BRAGA4; TONISMAR DOS SANTOS PEREIRA5 E TAISE CRISTINE BUSKE6 1 Doutor em Engenharia Agrícola, Prof. da URI, Erechim, RS. E-mail: mario.nunes.s1@gmail.com2 Doutor, Prof. Titular do Departamento de Engenharia Rural, UFSM, Santa Maria, RS.3 Doutora, Profª. Associada do Departamento de Engenharia Rural, UFSM, Santa Maria, RS.4 Doutor em Engenharia Agrícola, UFSM, Santa Maria, RS.5 Doutorando em Engenharia Agrícola, Prof. da UNIPAMPA, Alegrete, RS.6 Doutoranda em Engenharia Agrícola, Profª. do IFCatarinense – Campus Rio do Sul, SC. 1 RESUMO O objetivo deste trabalho foi de avaliar a influência da variabilidade espacial nos componentes de produção de soja irrigada por um pivô central. O trabalho foi desenvolvido no município de Bossoroca, RS, em uma área experimental de 31,17 ha, subdividida em sete setores de aproximadamente 4,45 ha. Foram coletadas 25 plantas em cada um dos setores, sendo medidos os parâmetros de crescimento e desenvolvimento em períodos quinzenais, seguidos da determinação dos componentes de produção na colheita. O manejo de irrigação baseou-se em turno de rega estipulado pelo instrumento irrigâmetro, com mesma lâmina em todos os setores. Os pontos da área georreferenciada foram visualizados através do software ArcGIS 9.3, gerando mapas de produção. As médias de produção dos diferentes setores foram submetidas à análise de variância e a comparação de médias pelo teste de Tukey a 5% de probabilidade de erro. Concluiu-se que ocorreu variação na produtividade entre os setores, sendo que no setor 03 observou-se maior produção com 6713,25 kg ha-1 e o setor 05 a menor com 5248,05 kg ha-1. Palavras-chave: Glycine max, L.; manejo da água; componentes de produção. NUNES, M. S.; ROBAINA, A. D.; PEITER, M. X.; BRAGA, F. de V. A.; PEREIRA, T. dos S.; BUSKE, T.C.RESPONSE OF SOYBEAN PRODUCTION TO SPACIAL VARIABILITY UNDER CENTER PIVOT 2 ABSTRACT The aim of this study was to evaluate the influence of spatial variability in yield components of soybean irrigated by a center pivot. The work was developed in Bossoroca city, RS, in an experimental area of 31.17 ha, subdivided into seven sectors of approximately 4.45 ha. In each sectors, 25 plants were collected, being measured growth parameters and developing of plants in fortnightly periods followed by determination of component production at harvest. The irrigation management was carried out with the irrigation schedule stipulated by Irrigameter instrument, with same sheet of water in all sectors. Points georeferenced area were visualized using ArcGIS 9.3 software, where maps production were generated. Average production of different sectors were subjected to analysis of variance and Tukey test at 5% probability. It was concluded that there was variation in production across sectors, where sector 03 had the highest production with 6713.25 kg ha-1 and the sector with the smallest 05 5248.05 kg ha-1. Keywords: Glycine max, L.; water management; production components.
The aim of this study was to evaluate the performance of less accurate analysis methods of slope stability, in order to reduce the number of operations used by the most accurate methods available in the literature. The study evaluated four methods for calculating slope stability.
Irrigation is an agricultural technique that increases crop yield and reduces periods of forage shortage. However, this technique increases production costs, and the process is economically viable only when costs are lower than the financial return. Determining the technical and financial viability of irrigation is essential to assess the feasibility of forage production systems. Therefore, the objective of this study was to determine the technical and financial viability of irrigated producing of forage millet in different growing seasons in two microregions of the state of Rio Grande do Sul, Brazil. The water requirements of the growing seasons of 2012 to 2017 in the microregions of Santiago and Santa Maria varied and affected the cost of irrigation. The irrigated production of forage millet increased the total average cost by 13.42% and increased the financial return by 43.03% and 22.49% in Santiago and Santa Maria, respectively.A irrigação é uma técnica que visa garantir altos rendimentos e reduzir períodos de escassez forrageira. Com a inclusão desta técnica, há um incremento no custo de produção, devendo este ser inferior aos rendimentos decorrentes de sua utilização para garantir a opção pelo uso. A determinação da viabilidade técnica e financeira da utilização da irrigação é imprescindível para avaliar os sistemas produtivos 1 Parte da tese de doutorado do primeiro autor.forrageiros. Dessa forma, o objetivo deste trabalho foi determinar a viabilidade técnica e financeira do uso da irrigação, na produção de forragem de milheto, para diferentes safras agrícolas e em duas microregiões do Estado do Rio Grande do Sul. Verificou-se que as demandas hídricas das diferentes cinco safras agrícolas 2012-2017, para as microrregiões de Santiago e Santa Maria são variáveis e influenciam nos custos da irrigação. A inclusão da irrigação na produção de forragem de milheto aumentou o custo total, em média, em 13,42%, porém proporcionou aumento do retorno econômico de 43,03% e 22,49% para as respectivas microrregiões. Palavras-chave: Estimativa de ganho animal. Custo de produção. Aspersão convencional fixa. Pennisetum americanum L.
Renewable energies are alternatives to replace fossil fuels and are crucial for the sustainability of the agricultural sector, besides being an important alternative for pumping water in irrigation. Thus, understanding revenues and expenses is fundamental in economic feasibility. Therefore, the aim of this study was to assess the behavior of economic indicators in off-grid solar energy system for irrigation based on different scenarios. Photovoltaic projects were developed for different irrigation powers ranging from 0.736 to 22.1 kW, and the costs for implementation and operation, as well as the occurrence of economy of scale were evaluated, and the levelized cost of energy for each power analyzed was determined. In addition, sensitivity analyses were performed, considering the variation in product price and investment cost, to demonstrate the responses in relation to economic indicators. Photovoltaic energy projects showed increasing costs with the increase in power, and the normalized cost per kW followed an economy of scale, while the levelized cost of energy showed feasibility, except for the power of 22.1 kW. The sensitivity analyses showed profitability for the analyzed configurations.
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