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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
13/10/2020 |
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Data da última atualização: |
29/10/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MATTAR, E. P. L.; MATRANGOLO, W. J. R.; BRASILEIRO, B. P.; FRADE JÚNIOR, E. F.; ALBUQUERQUE, T. A. de; OLIVEIRA, J. R. de; PAULA-SOUZA, J. de; DIAS, D. C. F. dos S. |
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Afiliação: |
Eduardo Pacca Luna Mattar, Universidade Federal do Acre; WALTER JOSE RODRIGUES MATRANGOLO, CNPMS; Bruno Portela Brasileiro, Universidade Federal do Paraná; ELIZIO FERREIRA FRADE JUNIOR, Universidade Federal do Acre; Thais Aguiar de Albuquerque, Médica Veterinária; João Ricardo de Oliveira, Instituto Nacional de Colonização e Reforma Agrária; Juliana de Paula-Souza, Universidade Federal de Santa Catarina; Denise Cunha Fernandes dos Santos Dias, Universidade Federal de Viçosa. |
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Título: |
Terra Ronca State Park: a potential natural Cratylia argentea (Desv.) Kuntze conservation area in Goiás, Brazil. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Tropical Grasslands-Forrajes Tropicales, v. 8, n. 3, p. 280-288, 2020. |
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Idioma: |
Inglês |
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Conteúdo: |
Cratylia argentea (cratília) is a neo-tropical leguminous plant with high resprouting ability, showing great potential as both an animal feed and to fertilize the soil through its N-fixing ability. During scientific expeditions carried out in 2016 to identify and collect germplasm in different states of Brazil, the Terra Ronca State Park (PETeR) stood out as a potential conservation area for this species. There, cratília is well adapted to the dry season, retaining green leaves even during extended dry periods and was found to develop a shrub or climbing habit, depending on light conditions. In the traditional cattle production systems of the region livestock readily consume cratília, making it an important asset for local inhabitants. Based on several populations identified and collected in PETeR, the value of traditional knowledge and use of cratília is discussed as is the potential role of the Park as an in situ conservation unit. |
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Palavras-Chave: |
Conservação in situ. |
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Thesagro: |
Biodiversidade; Forragem; Gado; Leguminosa Tropical. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/216596/1/Terra-Ronca.pdf
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Marc: |
LEADER 01789naa a2200265 a 4500
001 2125442
005 2020-10-29
008 2020 bl uuuu u00u1 u #d
100 1 $aMATTAR, E. P. L.
245 $aTerra Ronca State Park$ba potential natural Cratylia argentea (Desv.) Kuntze conservation area in Goiás, Brazil.$h[electronic resource]
260 $c2020
520 $aCratylia argentea (cratília) is a neo-tropical leguminous plant with high resprouting ability, showing great potential as both an animal feed and to fertilize the soil through its N-fixing ability. During scientific expeditions carried out in 2016 to identify and collect germplasm in different states of Brazil, the Terra Ronca State Park (PETeR) stood out as a potential conservation area for this species. There, cratília is well adapted to the dry season, retaining green leaves even during extended dry periods and was found to develop a shrub or climbing habit, depending on light conditions. In the traditional cattle production systems of the region livestock readily consume cratília, making it an important asset for local inhabitants. Based on several populations identified and collected in PETeR, the value of traditional knowledge and use of cratília is discussed as is the potential role of the Park as an in situ conservation unit.
650 $aBiodiversidade
650 $aForragem
650 $aGado
650 $aLeguminosa Tropical
653 $aConservação in situ
700 1 $aMATRANGOLO, W. J. R.
700 1 $aBRASILEIRO, B. P.
700 1 $aFRADE JÚNIOR, E. F.
700 1 $aALBUQUERQUE, T. A. de
700 1 $aOLIVEIRA, J. R. de
700 1 $aPAULA-SOUZA, J. de
700 1 $aDIAS, D. C. F. dos S.
773 $tTropical Grasslands-Forrajes Tropicales$gv. 8, n. 3, p. 280-288, 2020.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
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URL |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
23/08/2022 |
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Data da última atualização: |
24/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
COSTA, T. C. e C. da; FRANÇA, L.; SANTOS, T.; RAMOS, L. B.; CAMPANHA, M. M. |
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Afiliação: |
THOMAZ CORREA E CASTRO DA COSTA, CNPMS; LUIZ FRANÇA, SIG Soluções Ltda; TIAGO SANTOS, SIG Soluções Ltda; LUCAS BARBOSA RAMOS, Universidade Federal São João del-Rei; MONICA MATOSO CAMPANHA, CNPMS. |
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Título: |
CalcMadeira: software for estimating lumber production. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Global Journal of Science Frontier Research, v. 22, n. 2, p. 1-17, 2022. |
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Idioma: |
Inglês |
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Conteúdo: |
One information that is generally not used but is still essential to the economic evaluation and wood yield of the sawmill production chain is the quantification of lumber a priori. The few applications that provide a solution to this problem work with one log at a time and generally use optimization techniques instead of cut pattern models. The software developed for this work uses trigonometric rules, applying the circumscribed square (block), longitudinal (or tangential), log rotation, and radial cut patterns to help a producer sell a tree not in cubic meters but as a function of the pieces obtained from trees. Six tests were performed using trees and individual logs. The comparison between the calculated and milled or drawing pieces was presented for each model. The total errors obtained were approximately 2% for priority pieces. The best accuracy for the number and volume of the lumber pieces was 2.2% and -5.4%, respectively, obtained with a 30o angle of the slab (waste wood) and 0.60 to the proportion of the radius parameters in the model that rotates the log. The total calculated and observed piece width distributions were statistically equal in the radial model. This application requires observation of the milling operation while monitoring parameters in a heterogeneous sample of wooden logs to obtain the best results. |
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Palavras-Chave: |
Padrão de corte; Tronco. |
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Thesagro: |
Madeira; Serra. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1145671/1/CalcMadeira-software-for-estimating-lumber-production.pdf
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Marc: |
LEADER 01947naa a2200217 a 4500
001 2145671
005 2022-08-24
008 2022 bl uuuu u00u1 u #d
100 1 $aCOSTA, T. C. e C. da
245 $aCalcMadeira$bsoftware for estimating lumber production.$h[electronic resource]
260 $c2022
520 $aOne information that is generally not used but is still essential to the economic evaluation and wood yield of the sawmill production chain is the quantification of lumber a priori. The few applications that provide a solution to this problem work with one log at a time and generally use optimization techniques instead of cut pattern models. The software developed for this work uses trigonometric rules, applying the circumscribed square (block), longitudinal (or tangential), log rotation, and radial cut patterns to help a producer sell a tree not in cubic meters but as a function of the pieces obtained from trees. Six tests were performed using trees and individual logs. The comparison between the calculated and milled or drawing pieces was presented for each model. The total errors obtained were approximately 2% for priority pieces. The best accuracy for the number and volume of the lumber pieces was 2.2% and -5.4%, respectively, obtained with a 30o angle of the slab (waste wood) and 0.60 to the proportion of the radius parameters in the model that rotates the log. The total calculated and observed piece width distributions were statistically equal in the radial model. This application requires observation of the milling operation while monitoring parameters in a heterogeneous sample of wooden logs to obtain the best results.
650 $aMadeira
650 $aSerra
653 $aPadrão de corte
653 $aTronco
700 1 $aFRANÇA, L.
700 1 $aSANTOS, T.
700 1 $aRAMOS, L. B.
700 1 $aCAMPANHA, M. M.
773 $tGlobal Journal of Science Frontier Research$gv. 22, n. 2, p. 1-17, 2022.
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Embrapa Milho e Sorgo (CNPMS) |
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