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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
02/05/2012 |
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Data da última atualização: |
09/12/2014 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
TEN CATEN, A.; DALMOLIN, R. S. D.; RUIZ, L. F. C.; MENDONÇA-SANTOS, M. de L. |
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Afiliação: |
MARIA DE LOURDES M SANTOS BREFIN, CNPS. |
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Título: |
Digital soil mapping: strategy for data pre-processing. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: THE GLOBAL WORKSHOPS ON DIGITAL SOIL MAPPING, 5., 10 - 13 Apr. 2012, Sidney. Digital Soil Assessments and Beyond: Sidney, 2012. |
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Páginas: |
1 p. |
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Idioma: |
Português |
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Conteúdo: |
Soil maps have a great deal of ambiguity regarding the exact location of transition zones, which leads pedologists to disagree about the proper delineation of soil classes at those locations. The aim of this study was to propose a preprocessing strategy applied to digital soil mapping. Soil polygons on a training map were displaced in its inward direction by 100 and 160 m. This strategy has enabled that data covariates located near the borders of soil classes were not used for Decision Tree (DT) model adjusting. Three DT models derived from eight predictors covariates, related to the soil formation factors relief and organisms, were sampled in a complete soil map and by polygons displaced 100 and 160 m, in order to be used to predict soil classes. The DT model derived from observations distant 160 m of the boundary between polygons in the original map was less complex and shown a better predictive performance. |
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Palavras-Chave: |
Digital mapping; Strategic information. |
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Thesaurus Nal: |
soil. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/70632/1/Digital-soil-mapping-strategy-for-data-pre-processing-GEOSTAT-courses.pdf
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Marc: |
LEADER 01555nam a2200193 a 4500
001 1923510
005 2014-12-09
008 2012 bl uuuu u00u1 u #d
100 1 $aTEN CATEN, A.
245 $aDigital soil mapping$bstrategy for data pre-processing.$h[electronic resource]
260 $aIn: THE GLOBAL WORKSHOPS ON DIGITAL SOIL MAPPING, 5., 10 - 13 Apr. 2012, Sidney. Digital Soil Assessments and Beyond: Sidney$c2012
300 $a1 p.
520 $aSoil maps have a great deal of ambiguity regarding the exact location of transition zones, which leads pedologists to disagree about the proper delineation of soil classes at those locations. The aim of this study was to propose a preprocessing strategy applied to digital soil mapping. Soil polygons on a training map were displaced in its inward direction by 100 and 160 m. This strategy has enabled that data covariates located near the borders of soil classes were not used for Decision Tree (DT) model adjusting. Three DT models derived from eight predictors covariates, related to the soil formation factors relief and organisms, were sampled in a complete soil map and by polygons displaced 100 and 160 m, in order to be used to predict soil classes. The DT model derived from observations distant 160 m of the boundary between polygons in the original map was less complex and shown a better predictive performance.
650 $asoil
653 $aDigital mapping
653 $aStrategic information
700 1 $aDALMOLIN, R. S. D.
700 1 $aRUIZ, L. F. C.
700 1 $aMENDONÇA-SANTOS, M. de L.
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Registro original: |
Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
07/03/2018 |
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Data da última atualização: |
07/03/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
PAIVA, G. N.; ARAUJO, G. G. L. de; HEMRIQUES, L. T.; MEDEIROS, A. N.; BELTRÃO FILHO, E. M; COSTA, R. G.; ALBUQUERQUE, I. R. R. de; GOIS, G. C.; CAMPOS, F. S.; FREIRE, R. M. B. |
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Afiliação: |
GUTEMBERG NASCIMENTO PAIVA, Mestrando da UFPB; GHERMAN GARCIA LEAL DE ARAUJO, CPATSA; LARA TOLEDO HENRIQUES, Professora do Centro de Ciências Agrárias, UFPB, Areia, PB; ARIOSVALDO NUNES MEDEIROS, Professor do Centro de Ciências Agrárias, UFPB, Areia, PB; EDVALDO MESQUITA BELTRÃO FILHO, Professor do Centro de Ciências Humanas, Sociais e Agrárias, UFPB, Bananeiras, PB; ROBERTO GERMANO COSTA, Professor do Centro de Ciências Humanas, Sociais e Agrárias, UFPB, Bananeiras, PB; ÍTALO RENEU ROSAS DE ALBUQUERQUE, Universidade Federal da Bahia, UFBA, Salvador, BA; GLAYCIANE COSTA GOIS, Pós-Doutorando da Embrapa Semiárido, Petrolina, PE; FLEMING SENA CAMPOS, Pós-Doutorando da Embrapa Semiárido, Petrolina, PE; RAYSSA MARIA BEZERRIL FREIRE, Mestrando da Universidade Federal da Paraíba, UFPB, Areia, PB. |
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Título: |
Water with different salinity levels for lactating goats. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Semina: Ciências Agrárias, Londrina, v. 38, n. 4, p. 2065-2074, jul./ago. 2017. |
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DOI: |
10.5433/1679-0359.2017v38n4p2065 |
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Idioma: |
Inglês |
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Conteúdo: |
The aim of this study was to evaluate the influence of supplying water with varying salinity levels to dairy goats on nutrient intake, apparent nutrient digestibility, and milk yield. The experiment lasted 65 days and involved 24 crossbred goats with mean body weight of 38±4 kg, which were randomly allotted. It was set in a completely randomized design with four treatments consisting of 640, 3188, 5740 and 8326 mg L‒1 total dissolved solids (TDS) in the drinking water. The results showed that water salinity levels had no effect on the intake of dry matter, neutral detergent fiber, crude protein, ether extract, total carbohydrates, non-fibrous carbohydrates, total digestible nutrients, metabolizable energy, digestible energy, or apparent nutrient digestibility. Water intake was influenced by the salinity, increasing as the salt level was increased. Moreover, the varying salinity had no significant effect on milk yield. Drinking water containing up to 8326 mg L‒1 TDS provided no interference with the intake and nutrient digestibility of lactating goats in the feedlot. However, increasing the water salinity affects animal intake without any changes in milk yield. Therefore, this type of water can be used for crossbred goats at 30 days in milk, for up to 65 days in the feedlot. |
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Palavras-Chave: |
Cabras leiteiras; Intake; Produção de leite. |
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Thesagro: |
Água salina; Caprino; Consumo; Digestibilidade; Produção animal; Salinidade. |
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Thesaurus NAL: |
Animal production; Digestibility; Saline water. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/173626/1/Gherman-2.pdf
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Marc: |
LEADER 02399naa a2200385 a 4500
001 2088722
005 2018-03-07
008 2017 bl uuuu u00u1 u #d
024 7 $a10.5433/1679-0359.2017v38n4p2065$2DOI
100 1 $aPAIVA, G. N.
245 $aWater with different salinity levels for lactating goats.$h[electronic resource]
260 $c2017
520 $aThe aim of this study was to evaluate the influence of supplying water with varying salinity levels to dairy goats on nutrient intake, apparent nutrient digestibility, and milk yield. The experiment lasted 65 days and involved 24 crossbred goats with mean body weight of 38±4 kg, which were randomly allotted. It was set in a completely randomized design with four treatments consisting of 640, 3188, 5740 and 8326 mg L‒1 total dissolved solids (TDS) in the drinking water. The results showed that water salinity levels had no effect on the intake of dry matter, neutral detergent fiber, crude protein, ether extract, total carbohydrates, non-fibrous carbohydrates, total digestible nutrients, metabolizable energy, digestible energy, or apparent nutrient digestibility. Water intake was influenced by the salinity, increasing as the salt level was increased. Moreover, the varying salinity had no significant effect on milk yield. Drinking water containing up to 8326 mg L‒1 TDS provided no interference with the intake and nutrient digestibility of lactating goats in the feedlot. However, increasing the water salinity affects animal intake without any changes in milk yield. Therefore, this type of water can be used for crossbred goats at 30 days in milk, for up to 65 days in the feedlot.
650 $aAnimal production
650 $aDigestibility
650 $aSaline water
650 $aÁgua salina
650 $aCaprino
650 $aConsumo
650 $aDigestibilidade
650 $aProdução animal
650 $aSalinidade
653 $aCabras leiteiras
653 $aIntake
653 $aProdução de leite
700 1 $aARAUJO, G. G. L. de
700 1 $aHEMRIQUES, L. T.
700 1 $aMEDEIROS, A. N.
700 1 $aBELTRÃO FILHO, E. M
700 1 $aCOSTA, R. G.
700 1 $aALBUQUERQUE, I. R. R. de
700 1 $aGOIS, G. C.
700 1 $aCAMPOS, F. S.
700 1 $aFREIRE, R. M. B.
773 $tSemina: Ciências Agrárias, Londrina$gv. 38, n. 4, p. 2065-2074, jul./ago. 2017.
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