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      Productive and economic analyses of lowland soybean crops Translated title: Análises produtiva e econômica de lavouras de soja em terras baixas

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          Abstract

          Abstract The objective of this work was to estimate the relative yield that maximizes the profitability of the soybean crop in rotation with flood-irrigated rice. For this, 13 high-yield areas (from 2.6 to 5.2 ha) in lowland soybean-rice systems in Southern Brazil were selected before sowing. The calculation of production costs included seeds, seed treatment, fertilizers, lime, pesticides, irrigation, land, operational outsourcing, labor, and fuel consumption. The observed yield was transformed into relative yield by multiplying the quotient of the observed yield by the yield potential estimated by the CSM-CROPGRO-Soybean model. Water productivity was calculated as the ratio between the observed yield and available water during the crop cycle. Yield potential ranged from 6.1 to 7.4 Mg ha−1, whereas relative yield ranged from 45.3 to 101.2%. In addition, costs ranged from US$564.86 to US$1,122.86 per hectare, and profitability from US$767.18 to US$3,149.75 per hectare. The highest profitability of the soybean crop in rotation with flood-irrigated rice occurs with a relative yield between 67 and 84%.

          Translated abstract

          Resumo O objetivo deste trabalho foi estimar a produtividade relativa que maximiza a rentabilidade da lavoura de soja rotacionada com arroz irrigado por inundação. Para tanto, 13 áreas (de 2,6 a 5,2 ha) de alta produção em sistemas soja-arroz, em terras baixas, na região Sul do Brasil foram selecionadas antes da semeadura. O cálculo dos custos de produção incluiu sementes, tratamento de sementes, fertilizantes, calcário, defensivos agrícolas, irrigação, terra, operações terceirizadas, mão de obra e consumo de combustível. A produtividade observada foi transformada em produtividade relativa, ao se multiplicar o quociente da produtividade observada pelo potencial produtivo estimado pelo modelo CSM-CROPGRO-Soybean. A produtividade hídrica foi calculada como a razão entre a produtividade observada e a água disponível durante o ciclo da cultura. O potencial de produtividade variou de 6,1 a 7,4 Mg ha−1, enquanto a produtividade relativa variou de 45,3 a 101,2%. Além disso, os custos variaram de US$564,86 a US$1.122,86 por hectare, e a rentabilidade de US$767,18 ha−1 a US$3.149,75 por hectare. A maior rentabilidade da lavoura de soja em rotação com arroz irrigado por inundação ocorre com produtividade relativa entre 67 e 84%.

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          Closing yield gaps through nutrient and water management.

          In the coming decades, a crucial challenge for humanity will be meeting future food demands without undermining further the integrity of the Earth's environmental systems. Agricultural systems are already major forces of global environmental degradation, but population growth and increasing consumption of calorie- and meat-intensive diets are expected to roughly double human food demand by 2050 (ref. 3). Responding to these pressures, there is increasing focus on 'sustainable intensification' as a means to increase yields on underperforming landscapes while simultaneously decreasing the environmental impacts of agricultural systems. However, it is unclear what such efforts might entail for the future of global agricultural landscapes. Here we present a global-scale assessment of intensification prospects from closing 'yield gaps' (differences between observed yields and those attainable in a given region), the spatial patterns of agricultural management practices and yield limitation, and the management changes that may be necessary to achieve increased yields. We find that global yield variability is heavily controlled by fertilizer use, irrigation and climate. Large production increases (45% to 70% for most crops) are possible from closing yield gaps to 100% of attainable yields, and the changes to management practices that are needed to close yield gaps vary considerably by region and current intensity. Furthermore, we find that there are large opportunities to reduce the environmental impact of agriculture by eliminating nutrient overuse, while still allowing an approximately 30% increase in production of major cereals (maize, wheat and rice). Meeting the food security and sustainability challenges of the coming decades is possible, but will require considerable changes in nutrient and water management.
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            Crop Yield Gaps: Their Importance, Magnitudes, and Causes

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              Concepts in production ecology for analysis and quantification of agricultural input-output combinations

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                Author and article information

                Journal
                pab
                Pesquisa Agropecuária Brasileira
                Pesq. agropec. bras.
                Embrapa Secretaria de Pesquisa e Desenvolvimento; Pesquisa Agropecuária Brasileira (Brasília, DF, Brazil )
                0100-204X
                1678-3921
                2024
                : 59
                : e03333
                Affiliations
                [1] Santa Maria Rio Grande do Sul orgnameUniversidade Federal de Santa Maria Brazil alexandreferigolo@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-6610-3104
                https://orcid.org/0000-0002-3010-2249
                https://orcid.org/0000-0001-9643-7749
                https://orcid.org/0000-0003-4725-9901
                https://orcid.org/0000-0003-3638-7131
                https://orcid.org/0000-0002-9089-8517
                https://orcid.org/0000-0002-5463-3909
                https://orcid.org/0000-0002-2495-0823
                https://orcid.org/0000-0002-3263-3553
                https://orcid.org/0000-0002-7194-9833
                Article
                S0100-204X2024000104302 S0100-204X(24)05900004302
                10.1590/s1678-3921.pab2024.v59.03333
                d66cef22-69af-40f3-9f87-0d366c3778bb

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

                History
                : 31 March 2023
                : 22 April 2024
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 34, Pages: 0
                Product

                SciELO Brazil

                Categories
                Crop Science / Original Article

                Glycine max,custo,econômico,lucro,lacuna de produtividade,potencial de produtividade,cost,economic,profitability,yield gap,yield potential

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