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 | Acesso ao texto completo restrito à biblioteca da Embrapa Solos. Para informações adicionais entre em contato com cnps.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
01/12/2017 |
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Data da última atualização: |
10/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PINHEIRO, H. S. K.; OWENS, P. R.; ANJOS, L. H. C.; CARVALHO JUNIOR, W. de; CHAGAS, C. da S. |
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Afiliação: |
H. S. K. PINHEIRO, UFRRJ; P. R. OWENS, USDA Dale Bumpers Small Farms Research Center; L. H. C. ANJOS, UFRRJ; WALDIR DE CARVALHO JUNIOR, CNPS; CESAR DA SILVA CHAGAS, CNPS. |
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Título: |
Tree-based techniques to predict soil units. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Soil Research, v. 55, n. 8, p. 788-798, 2017. |
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DOI: |
https://doi.org/10.1071/SR16060 |
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Idioma: |
Inglês |
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Conteúdo: |
Quantitative soil-landscape models offer a method for conducting soil surveys that use statistical tools to predict natural patterns in the occurrence of particular map units across a landscape. The aim of the present study was to predict soil units in a watershed with wide variation in landscape conditions. The approach relied on a modelling of soil-forming factors in order to understand the variability of the landscape components in the region. Models were generated for landscape attributes related to pedogenesis, specifically elevation, slope, curvature, compound topographic index, Euclidean distance from stream networks, landforms map, clay minerals index, iron oxide index and normalised difference vegetation index, along with an existing geology map. The soil classification was adapted from the World Reference Base System for Soil Resources, and the predominant soil taxonomic orders observed were Ferrasols, Acrisols, Gleysols, Cambisols, Fluvisols and Regosols. The algorithms used to predict the soil units were based on decision tree (DT) and random forest (RF) methods. The criteria used to evaluate the models' performance were statistical indices, coherence between predicted units and the legacy map, as well as accuracy checks based on control samples. The best performing model was found to be the RF algorithm, with resulting statistical indices considered excellent (overall = 0.966, kappa = 0.962). The accuracy of the map as determined by control points was 67.89%, with a kappa value of 61.39%. MenosQuantitative soil-landscape models offer a method for conducting soil surveys that use statistical tools to predict natural patterns in the occurrence of particular map units across a landscape. The aim of the present study was to predict soil units in a watershed with wide variation in landscape conditions. The approach relied on a modelling of soil-forming factors in order to understand the variability of the landscape components in the region. Models were generated for landscape attributes related to pedogenesis, specifically elevation, slope, curvature, compound topographic index, Euclidean distance from stream networks, landforms map, clay minerals index, iron oxide index and normalised difference vegetation index, along with an existing geology map. The soil classification was adapted from the World Reference Base System for Soil Resources, and the predominant soil taxonomic orders observed were Ferrasols, Acrisols, Gleysols, Cambisols, Fluvisols and Regosols. The algorithms used to predict the soil units were based on decision tree (DT) and random forest (RF) methods. The criteria used to evaluate the models' performance were statistical indices, coherence between predicted units and the legacy map, as well as accuracy checks based on control samples. The best performing model was found to be the RF algorithm, with resulting statistical indices considered excellent (overall = 0.966, kappa = 0.962). The accuracy of the map as determined by control points was 67.89%, wi... Mostrar Tudo |
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Palavras-Chave: |
Mapeamento digital do solo. |
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Thesagro: |
Classificação do Solo; Pedologia. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02162naa a2200217 a 4500
001 2081200
005 2021-11-10
008 2017 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1071/SR16060$2DOI
100 1 $aPINHEIRO, H. S. K.
245 $aTree-based techniques to predict soil units.$h[electronic resource]
260 $c2017
520 $aQuantitative soil-landscape models offer a method for conducting soil surveys that use statistical tools to predict natural patterns in the occurrence of particular map units across a landscape. The aim of the present study was to predict soil units in a watershed with wide variation in landscape conditions. The approach relied on a modelling of soil-forming factors in order to understand the variability of the landscape components in the region. Models were generated for landscape attributes related to pedogenesis, specifically elevation, slope, curvature, compound topographic index, Euclidean distance from stream networks, landforms map, clay minerals index, iron oxide index and normalised difference vegetation index, along with an existing geology map. The soil classification was adapted from the World Reference Base System for Soil Resources, and the predominant soil taxonomic orders observed were Ferrasols, Acrisols, Gleysols, Cambisols, Fluvisols and Regosols. The algorithms used to predict the soil units were based on decision tree (DT) and random forest (RF) methods. The criteria used to evaluate the models' performance were statistical indices, coherence between predicted units and the legacy map, as well as accuracy checks based on control samples. The best performing model was found to be the RF algorithm, with resulting statistical indices considered excellent (overall = 0.966, kappa = 0.962). The accuracy of the map as determined by control points was 67.89%, with a kappa value of 61.39%.
650 $aClassificação do Solo
650 $aPedologia
653 $aMapeamento digital do solo
700 1 $aOWENS, P. R.
700 1 $aANJOS, L. H. C.
700 1 $aCARVALHO JUNIOR, W. de
700 1 $aCHAGAS, C. da S.
773 $tSoil Research$gv. 55, n. 8, p. 788-798, 2017.
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Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
29/01/2018 |
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Data da última atualização: |
29/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
ECKSTEIN, C.; BENTO, F. C.; MOURÃO, R. C.; LOPES, L. B.; GOMES, H. F. B.; MOUSTACAS, V. S.; SANTOS, R. de L. |
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Afiliação: |
CAMILA ECKSTEIN, UFMT-SINOP; FELIPE CECCONELLO BENTO, UFMT-SINOP; RAPHAEL CASTRO MOURÃO, IFMT-SORRISO; LUCIANO BASTOS LOPES, CPAMT; HELEN FERNANDA BARROS GOMES, UFMT-SINOP; VALERIA SPYRIDION MOUSTACAS, CPAMT; RENATO DE LIMA SANTOS, UFMG. |
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Título: |
Characterization of the sheep industry in the medium northern region of Mato Grosso, Brazil. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Revista brasileira de ciência veterinária, v. 24, n. 2, p. 81-85, 2017. |
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Idioma: |
Inglês |
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Conteúdo: |
EN: In recent decades, the Brazilian market for sheep meat has increased substantially, and the State of Mato Grosso had the highest growth rate in Brazil. However, information about ovine production systems in this region is lacking. This study aimed to characterize productive systems of sheep in the medium northern region of Mato Grosso, by application of qualitative and quantitative questionnaires. Among 40 properties evaluated, herds there were predominately with fewer than 100 animals (82.5%, 33/40), with semi-intensive exploration focused on meat production. Livestock sheep was a secondary economic activity in 92.5% (37/40) of farms, and sheep were kept only for family consumption in 60.0% (24/40). Poor health management resulted in the occurrence of various diseases, and myiasis was the most frequently cited disease (65.0%, 26/40). Sheep farming has a great potential for development in Mato Grosso. However, the activity is neglected in many ways, including animal health. | PT-BR: Nas últimas décadas o mercado brasileiro de carne ovina aumentou substancialmente, e o estado de Mato Grosso apresentou a maior taxa de crescimento do Brasil, apesar da falta de informações sobre os sistemas de produção nesta região. Este estudo teve como objetivo caracterizar os sistemas de produção de ovinos da região meio-norte do Mato Grosso, utilizando um questionário com perguntas qualitativas e quantitativas. Dentre as 40 propriedades avaliadas foram predominantes (82,5%; 33/40) rebanhos com menos de 100 animais, com exploração semi-intensiva, voltada para a produção de carne. A ovinocultura foi citada como atividade econômica secundária em 92,5% (37/40) dos rebanhos e, em 60,0% (24/40) das propriedades, os animais eram mantidos apenas para consumo familiar. O manejo sanitário deficiente resultou na ocorrência de diversas doenças, sendo os casos de miíases os mais citados (65,0%; 26/40). A ovinocultura possui grande potencial para o desenvolvimento em Mato Grosso. No entanto, a atividade ainda é negligenciada em muitos aspectos, incluindo a saúde animal. MenosEN: In recent decades, the Brazilian market for sheep meat has increased substantially, and the State of Mato Grosso had the highest growth rate in Brazil. However, information about ovine production systems in this region is lacking. This study aimed to characterize productive systems of sheep in the medium northern region of Mato Grosso, by application of qualitative and quantitative questionnaires. Among 40 properties evaluated, herds there were predominately with fewer than 100 animals (82.5%, 33/40), with semi-intensive exploration focused on meat production. Livestock sheep was a secondary economic activity in 92.5% (37/40) of farms, and sheep were kept only for family consumption in 60.0% (24/40). Poor health management resulted in the occurrence of various diseases, and myiasis was the most frequently cited disease (65.0%, 26/40). Sheep farming has a great potential for development in Mato Grosso. However, the activity is neglected in many ways, including animal health. | PT-BR: Nas últimas décadas o mercado brasileiro de carne ovina aumentou substancialmente, e o estado de Mato Grosso apresentou a maior taxa de crescimento do Brasil, apesar da falta de informações sobre os sistemas de produção nesta região. Este estudo teve como objetivo caracterizar os sistemas de produção de ovinos da região meio-norte do Mato Grosso, utilizando um questionário com perguntas qualitativas e quantitativas. Dentre as 40 propriedades avaliadas foram predominantes (82,5%; 33/40) rebanh... Mostrar Tudo |
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Palavras-Chave: |
Perfil do rebanho; Saúde animal. |
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Thesagro: |
Ovinocultura. |
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Thesaurus NAL: |
Animal health; Livestock; Sheep breeds. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02878naa a2200265 a 4500
001 2086577
005 2018-01-29
008 2017 bl uuuu u00u1 u #d
100 1 $aECKSTEIN, C.
245 $aCharacterization of the sheep industry in the medium northern region of Mato Grosso, Brazil.$h[electronic resource]
260 $c2017
520 $aEN: In recent decades, the Brazilian market for sheep meat has increased substantially, and the State of Mato Grosso had the highest growth rate in Brazil. However, information about ovine production systems in this region is lacking. This study aimed to characterize productive systems of sheep in the medium northern region of Mato Grosso, by application of qualitative and quantitative questionnaires. Among 40 properties evaluated, herds there were predominately with fewer than 100 animals (82.5%, 33/40), with semi-intensive exploration focused on meat production. Livestock sheep was a secondary economic activity in 92.5% (37/40) of farms, and sheep were kept only for family consumption in 60.0% (24/40). Poor health management resulted in the occurrence of various diseases, and myiasis was the most frequently cited disease (65.0%, 26/40). Sheep farming has a great potential for development in Mato Grosso. However, the activity is neglected in many ways, including animal health. | PT-BR: Nas últimas décadas o mercado brasileiro de carne ovina aumentou substancialmente, e o estado de Mato Grosso apresentou a maior taxa de crescimento do Brasil, apesar da falta de informações sobre os sistemas de produção nesta região. Este estudo teve como objetivo caracterizar os sistemas de produção de ovinos da região meio-norte do Mato Grosso, utilizando um questionário com perguntas qualitativas e quantitativas. Dentre as 40 propriedades avaliadas foram predominantes (82,5%; 33/40) rebanhos com menos de 100 animais, com exploração semi-intensiva, voltada para a produção de carne. A ovinocultura foi citada como atividade econômica secundária em 92,5% (37/40) dos rebanhos e, em 60,0% (24/40) das propriedades, os animais eram mantidos apenas para consumo familiar. O manejo sanitário deficiente resultou na ocorrência de diversas doenças, sendo os casos de miíases os mais citados (65,0%; 26/40). A ovinocultura possui grande potencial para o desenvolvimento em Mato Grosso. No entanto, a atividade ainda é negligenciada em muitos aspectos, incluindo a saúde animal.
650 $aAnimal health
650 $aLivestock
650 $aSheep breeds
650 $aOvinocultura
653 $aPerfil do rebanho
653 $aSaúde animal
700 1 $aBENTO, F. C.
700 1 $aMOURÃO, R. C.
700 1 $aLOPES, L. B.
700 1 $aGOMES, H. F. B.
700 1 $aMOUSTACAS, V. S.
700 1 $aSANTOS, R. de L.
773 $tRevista brasileira de ciência veterinária$gv. 24, n. 2, p. 81-85, 2017.
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