Expansão agrícola: elaboração de indicadores de sustentabilidade nas cadeias produtivas de Mato Grosso do Sul

Borlachenco, Natascha Goes Cintra; Gonçalves, Ariadne Barbosa

doi:10.20435/1984-042x-2017-v.18-n.1(09)

Cited by 13 publications

(11 citation statements)

References 3 publications

(4 reference statements)

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“…The soybean (Glycine max L. Merryl) is currently one of the main commodities of Brazilian agribusiness, which has become a source of income and prosperity for many producing regions of the country (BORLACHENCO; GONÇALVES, 2017;ARTUZO et al, 2018). In the 2017/2018-crop season, soybean presented a seeded area of 35,022.8 hectares with an average productivity of 3.156 kg ha -1 , and these values have values increasing in recent years (CONAB, 2018).…”

Section: Introductionmentioning

confidence: 99%

Space Distribution of Soybean Seed Storage Potential

2019

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The objective of this study was to identify the spatial distribution of the physiological quality of soybean seeds during storage from a production field of 39 hectares using geostatistical techniques in the 2012/2013 harvest. Seeds were sampled at geo-referenced points for the determination of physiological quality and spatial dependence analysis. The results were submitted to analysis of descriptive statistics, Pearson's linear correlation and geostatistics. The grid of one point per hectare and a georeferenced sampling mesh with spacing of 100 meters between points was efficient in the evaluation of the spatial variability. It was verified the existence of a negative correlation between the variable protein content and bed bug attack and a significant correlation between the intensity of bed bug damage and the protein content with the variables related to seed quality. Physiological quality is not uniform, particularly in relation to vigor, providing better diagnosis through interpolation maps. Precision agriculture, coupled with the monitoring of seed quality during storage, indicated spatial variability of quality from harvest to the end of storage. Areas with high rates of bedbug and unit damage presented low quality physiology and reduced protein levels. The geostatistics allows to determine the spatial distribution of the physiological quality of soybean seeds in the area of seed production, facilitating the decision making, regarding the areas to be harvested. DISTRIBUIÇÃO ESPACIAL DO POTENCIAL DE ARMAZENAMENTO DE SEMENTES DE SOJARESUMO -Objetivou-se identificar a distribuição espacial da qualidade fisiológica de sementes de soja durante o armazenamento, provenientes de campo de produção de 39 hectares por meio de técnicas de geoestatística na safra 2012/2013. Realizou-se amostragem de sementes em pontos georreferenciados, para a determinação da qualidade fisiológica e análise da dependência espacial. Os resultados foram submetidos às análises de estatística descritiva, correlação linear de Pearson e geoestatística. O grid de um ponto por hectare e uma malha de amostragem georreferenciada com espaçamento de 100 metros entre pontos foi eficiente na avaliação da variabilidade espacial. Constatou-se a existência de correlação negativa entre a variável teor de proteína e ataque de percevejos e correlação significativa entre a intensidade de dano por percevejo e o teor de proteína com as variáveis relacionadas a qualidade de sementes. A qualidade fisiológica não é uniforme, particularmente em relação ao vigor, proporcionando melhor diagnóstico por meio de mapas de interpolação. A agricultura de precisão, associada ao monitoramento da qualidade de sementes durante o armazenamento, indicou variabilidade espacial da qualidade desde a colheita até o fim do armazenamento. Áreas com altos índices de danos por percevejo e unidade apresentaram baixa qualidade fisiologia e reduzidos teores de proteína. A geoestatística possibilita determinar a distribuição espacial da qualidade fisiológica de sementes de soja em área ...

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Section: Introductionmentioning

confidence: 99%

Space Distribution of Soybean Seed Storage Potential

2019

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“…Faine (1982) concluded that, compared to temperate regions, disease presence and dispersion are more favored in tropical and subtropical regions due to persistent bacteria in flooded environments, where they can survive for up to 180 days, depending on temperature (28 °C to 30 °C) and pH (7.2 to 7.4) conditions. In Mato Grosso do Sul, the tropical climate prevails in most of the territory, characterized by rainy summers and dry winters, with average temperatures varying between 26°C in the Paraguay lowlands and 23°C in the Plateau, and approximately 1,500 mm rainfall annually (Borlachenco & Gonçalves, 2017).…”

Section: Discussionmentioning

confidence: 99%

Epidemiological characteristics of Leptospira spp. infection in bovine herds in Mato Grosso do Sul, Brazil

Santos

Frias

Silva

et al. 2021

Braz. J. Vet. Res. Anim. Sci.

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The epidemiological characteristics of bovine leptospirosis in animals and herds in Mato Grosso do Sul were investigated to determine parameters such as disease frequency and the serovars reactant in beef cattle herds. A total of 4,629 beef cattle herds were examined against 33 Leptospira spp. serovars. The serum samples were submitted to the microscopic agglutination test (MAT) for the serological diagnosis of leptospirosis. The MAT results showed that 3,814 (82.39%) of the 4,629 animals evaluated were seropositive for the bacterium, with serological reactions mainly to serogroup Sejroe, serovar Wolffi (36.49%). The observed high frequency of reactive animals demonstrates the relevance of the infection. Therefore, general and specific measures should be implemented to contain and/or prevent infection of the animals in the studied region.

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“…An agricultural expansion of 87% was observed in the Cerrado from 2000 to 2014, and 76% of this increase was caused by soybean (Carneiro Filho & Costa, 2016). Sustainable practices need to be established in the economic, social, and environmental spheres using new technologies and management that allow equal or greater production without increasing areas already cultivated (Borlachenco & Gonçalves, 2017).…”

Section: Introductionmentioning

confidence: 99%

Management Systems: Soil Cover and Compaction, Longitudinal Distribution, and Yield of Soybean Crop

Cortez¹,

Pusch

Silva

et al. 2019

Eng. Agríc.

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The way the soil is managed can influence its structuring and, consequently, crop yield. Thus, this study aimed to evaluate the effect caused by the management systems plowing followed by two intermediate harrowing operations, intermediate harrowing, chiseling, chiseling followed by intermediate harrowing, cross chiseling followed by intermediate harrowing, and non-tillage on soil and agronomic attributes of the soybean crop. A randomized block design with four replications was used. The percentage of soil cover, soil resistance to penetration, number of plants per meter, longitudinal distribution of seedlings, and soybean yield were evaluated. The data were submitted to analysis of variance by the Tukey test at 5% probability, and use of geostatistics for soil resistance to penetration. The system without soil tillage provides the best straw preservation but affects the longitudinal distribution of soybean seedlings. The use of intermediate harrowing for managing crop residues or soil tillage leads to the greatest compaction problems. Chiseling is efficient in maintaining compaction values below critical values up to a depth of 0.20 m when working at 0.35 m. Soil yield is not affected by soil management systems when the pluviometric regime is adequate to crop requirements.

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Expansão agrícola: elaboração de indicadores de sustentabilidade nas cadeias produtivas de Mato Grosso do Sul

Cited by 13 publications

References 3 publications

Space Distribution of Soybean Seed Storage Potential

Space Distribution of Soybean Seed Storage Potential

Epidemiological characteristics of Leptospira spp. infection in bovine herds in Mato Grosso do Sul, Brazil

Management Systems: Soil Cover and Compaction, Longitudinal Distribution, and Yield of Soybean Crop

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