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      Economic nitrogen doses via fertigation for corn cultivation in a semiarid environment

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          Abstract

          ABSTRACT Producers in the northeastern semiarid region of Brazil have been cultivating irrigated corn. The commercialized product comprises mainly green ears and silage. However, the irrigation of crops for dry grain has been questioned regarding costs and price competitiveness in relation to the same non-irrigated product cultivated in other regions. In recent years, the use of drip tapes and fertigation has spread among corn producers in the region. The aim of this study was to determine the N dose, via fertigation, which provides the maximum economic production of corn for dry grain, in two crop seasons (summer and winter), in the semiarid region of Brazil. The experimental design was performed in randomized blocks, with four replications. In both crops, the treatments consisted of four doses of N (0, 80, 160, and 240 kg ha-1) applied in the form of urea. In the hybrid corn (Bt Feroz), the N content was evaluated in terms of leaves, grain yield, gross and net incomes, the rate of return, and the profitability index. Independent of the crop season, the yield of dry grain (5,441.03 kg ha-1) was highest when the corn was fertigated with a dose of 104.05 kg ha-1 N. The highest net incomes of the dry grain were obtained with 80 kg ha-1 N in summer (R\(1,190.78 ha-1) and 160 kg ha-1 N in winter (R\) 2,757.54 ha-1). The winter crop was more favorable to the economic production of dry grain.

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          Sisvar: a computer statistical analysis system

          Sisvar is a statistical analysis system, first released in 1996 although its development began in 1994. The first version was done in the programming language Pascal and compiled with Borland Turbo Pascal 3. Sisvar was developed to achieve some specific goals. The first objective was to obtain software that could be used directly on the statistical experimental course of the Department of Exact Science at the Federal University of Lavras. The second objective was to initiate the development of a genuinely Brazilian free software program that met the demands and peculiarities of research conducted in the country. The third goal was to present statistical analysis software for the Brazilian scientific community that would allow research results to be analyzed efficiently and reliably. All of the initial goals were achieved. Sisvar gained acceptance by the scientific community because it provides reliable, accurate, precise, simple and robust results, and allows users a greater degree of interactivity.
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            Manual de análises químicas de solos. plantas e fertilizantes

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              Maize kernel weight responses to sowing date-associated variation in weather conditions

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                Author and article information

                Journal
                asagr
                Acta Scientiarum. Agronomy
                Acta Sci., Agron.
                Editora da Universidade Estadual de Maringá - EDUEM (Maringá, PR, Brazil )
                1679-9275
                1807-8621
                2021
                : 43
                : e52045
                Affiliations
                [4] Mossoró Rio Grande do Norte orgnameUniversidade Federal Rural do Semi-Árido orgdiv1Programa de Pós-graduação em Fitotecnia Brazil
                [5] Serra Talhada orgnameUniversidade Federal Rural de Pernambuco orgdiv1Unidade Acadêmica de Serra Talhada Brazil
                [2] Salvador Bahia orgnameUniversidade Federal da Bahia orgdiv1Programa de Pós-graduação em Engenharia Industrial Brazil
                [1] Piranhas orgnameInstituto Federal de Educação, Ciência e Tecnologia de Alagoas orgdiv1Curso de Engenharia Agronômica Brazil
                [3] Seropédica Rio de Janeiro orgnameUniversidade Federal Rural do Rio de Janeiro orgdiv1Programa de Pós-graduação em Agronomia - Ciências do Solo Brazil
                Article
                S1807-86212021000105028 S1807-8621(21)04300005028
                10.4025/actasciagron.v43i1.52045
                05495795-7cf3-4fd2-bf1e-a0142c4b0eff

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 21 January 2020
                : 30 July 2020
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 41, Pages: 0
                Product

                SciELO Brazil

                Categories
                Crop Production

                production costs,Zea mays L.,planting date,profitability

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