Resposta Da Produção De Soja À Variabilidade Espacial Sob Pivô Central

Abstract

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.

Concordance Modeling With a Gold Standard for Variables From the Three-Parameter Gamma Distribution

“…The water stress is the main cause for losses in the soybean culture (Confalone et al, 2010;Nunes et al, 2016;Souza et al, 2016). For non-irrigated areas, the water deficit caused, mainly, during drought periods can increase losses in the agricultural crops (Nunes et al, 2016;Pugh et al, 2019).…”

“…The water stress is the main cause for losses in the soybean culture (Confalone et al, 2010;Nunes et al, 2016;Souza et al, 2016). For non-irrigated areas, the water deficit caused, mainly, during drought periods can increase losses in the agricultural crops (Nunes et al, 2016;Pugh et al, 2019). The spatial variability of the soybean culture and the several agricultural crops occur according to the water availability (Iglesias et al, 2012;Vivan et al, 2013;Zanon et al, 2016).…”

Development of soybean genotypes as a function of water availability and sowing seasons in Rio Verde, state of Goias

“…Crop yield tends to be restricted by the unfavorable climate, and by factors that directly influence the intensity of meteorological phenomena. The occurrence of dry spells and periods of drought, associated with the evapotranspirative demand and irregular distribution of rainfall are the major factors limiting the achievement of high grain yields (NUNES et al, 2016), leading to a drop in crop yield (SILVA et al, 2020).…”

“…Using the data on the maximum crop evapotranspiration (ETc), precipitation (P), and available soil water capacity (CAD) variables allowed us to carry out the sequential climatological water balance of the crop. The water balance is used to account for water inputs and outputs in agricultural systems and associate them with crop productivity, as well as serving as a tool for agricultural planning (PASSOS et al, 2016).…”