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Registro Completo |
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
12/12/2013 |
Data da última atualização: |
12/12/2013 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
ABREU, U. G. P. de; GREGO, C. R.; FASIABEN, M. do C. R.; GOMES, E. G.; ALMEIDA, M.; OLIVEIRA, O. |
Afiliação: |
URBANO GOMES PINTO DE ABREU, CPAP; CELIA REGINA GREGO, CNPM; MARIA DO CARMO RAMOS FASIABEN, CNPTIA; ELIANE GONCALVES GOMES, SGE; MAXWELL ALMEIDA, IBGE; OCTÁVIO OLIVEIRA, IBGE. |
Título: |
Beef cattle stocking rate, a key to the conservation of the pastoral system in Brazilian biomes. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
In: INTERANTIONAL CONFERENCE ON AGRICULTURAL STATISTICS, 6., 2013, Rio de Janeiro. Improving statistics for food Security, sustainable agriculture, and rural development. Rio de Janeiro: IBGE, 2013. |
Páginas: |
Não paginado. |
Idioma: |
Inglês |
Notas: |
ICAS VI. |
Conteúdo: |
In Brazil, beef cattle are raised in predominantly extensive systems. The feeding base is represented by native and/or cultivated pastures. The latter may be in a well conserved state or may present some degree of degradation. The amount of animals per hectare, supported by the pasture by each time unit, is basically related to the pasture production. There is interaction between quality and production, and changes in these parameters are strongly affected by the stocking rate. Therefore, the adjustment in the stocking rate is the most important management factor and the main determinant of animal production and pasture composition. Municipal data from the 2006 agriculture and cattle raising business census were considered with the objective to analyze, by means of typologies, the use of pastoral areas in Brazil. In the census, the producers declared their pastoral areas according to the following classification: native pasture areas (PN), cultivated pasture areas in good conservation status (PC) and cultivated pasture areas with some degree of degradation (PCD). They also indicated the number of bovine in each type of pasture. The data were submitted to exploratory factorial analysis, with varimax rotation. The first two factors (extracted by main components) explained 0.83 of the (co)variance, and the estimate of the Kaiser-Mayer-Olkin (KMO) adequacy test was 0.76, which meant good adjustment of the variables selected. The commonalities of the variables selected, PN area; total pasture area (TP), bovines in PN (Bov_PN); bovines in PCD area (Bov_PCD); bovines in PC area (Bov_PC); bovines in total pasture area (Bov_APT); and the stocking rate (TxLota) were 0.65; 0.97; 0.77; 0.74; 0.79; 0.87; and 0.99, respectively. The first factor was associated with the variables PN, TP, Bov_PN, Bov_PCD, Bov_PC, and Bov_APT, which directs to the latent variable correlated to those municipalities with large pasture areas, in general, and also with the largest cattle population. The variable TxLota presented the most significant factorial load in the second factor, that is, all those municipalities with the greatest concentration of cattle per unit area are represented in the second factor. The municipalities that were best represented in factor_1 are different from the ones represented in factor_2. The non-parametric correlation between the classifications of the two groups of municipalities formed by the factorial scores in the first and the second factors is small (0,24). This indicates that the context of those municipalities with the highest stocking rate is a lot different from the ones with the largest areas and cattle herds. The application of livestock development policies in the different Brazilian biomes should take into account all the distinguishing features of the municipalities, regarding their context, especially the pasture areas and their vocation for primary livestock production. MenosIn Brazil, beef cattle are raised in predominantly extensive systems. The feeding base is represented by native and/or cultivated pastures. The latter may be in a well conserved state or may present some degree of degradation. The amount of animals per hectare, supported by the pasture by each time unit, is basically related to the pasture production. There is interaction between quality and production, and changes in these parameters are strongly affected by the stocking rate. Therefore, the adjustment in the stocking rate is the most important management factor and the main determinant of animal production and pasture composition. Municipal data from the 2006 agriculture and cattle raising business census were considered with the objective to analyze, by means of typologies, the use of pastoral areas in Brazil. In the census, the producers declared their pastoral areas according to the following classification: native pasture areas (PN), cultivated pasture areas in good conservation status (PC) and cultivated pasture areas with some degree of degradation (PCD). They also indicated the number of bovine in each type of pasture. The data were submitted to exploratory factorial analysis, with varimax rotation. The first two factors (extracted by main components) explained 0.83 of the (co)variance, and the estimate of the Kaiser-Mayer-Olkin (KMO) adequacy test was 0.76, which meant good adjustment of the variables selected. The commonalities of the variables selected, PN area; ... Mostrar Tudo |
Palavras-Chave: |
Análise multivariada; Tipologia. |
Thesagro: |
Gado de Corte; Uso da Terra. |
Thesaurus Nal: |
Beef cattle; Land use; Multivariate analysis. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/93930/1/artigo-111-POSTER-urbano-abreu.docx
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Marc: |
LEADER 03858nam a2200277 a 4500 001 1973754 005 2013-12-12 008 2013 bl uuuu u00u1 u #d 100 1 $aABREU, U. G. P. de 245 $aBeef cattle stocking rate, a key to the conservation of the pastoral system in Brazilian biomes. 260 $aIn: INTERANTIONAL CONFERENCE ON AGRICULTURAL STATISTICS, 6., 2013, Rio de Janeiro. Improving statistics for food Security, sustainable agriculture, and rural development. Rio de Janeiro: IBGE$c2013 300 $aNão paginado. 500 $aICAS VI. 520 $aIn Brazil, beef cattle are raised in predominantly extensive systems. The feeding base is represented by native and/or cultivated pastures. The latter may be in a well conserved state or may present some degree of degradation. The amount of animals per hectare, supported by the pasture by each time unit, is basically related to the pasture production. There is interaction between quality and production, and changes in these parameters are strongly affected by the stocking rate. Therefore, the adjustment in the stocking rate is the most important management factor and the main determinant of animal production and pasture composition. Municipal data from the 2006 agriculture and cattle raising business census were considered with the objective to analyze, by means of typologies, the use of pastoral areas in Brazil. In the census, the producers declared their pastoral areas according to the following classification: native pasture areas (PN), cultivated pasture areas in good conservation status (PC) and cultivated pasture areas with some degree of degradation (PCD). They also indicated the number of bovine in each type of pasture. The data were submitted to exploratory factorial analysis, with varimax rotation. The first two factors (extracted by main components) explained 0.83 of the (co)variance, and the estimate of the Kaiser-Mayer-Olkin (KMO) adequacy test was 0.76, which meant good adjustment of the variables selected. The commonalities of the variables selected, PN area; total pasture area (TP), bovines in PN (Bov_PN); bovines in PCD area (Bov_PCD); bovines in PC area (Bov_PC); bovines in total pasture area (Bov_APT); and the stocking rate (TxLota) were 0.65; 0.97; 0.77; 0.74; 0.79; 0.87; and 0.99, respectively. The first factor was associated with the variables PN, TP, Bov_PN, Bov_PCD, Bov_PC, and Bov_APT, which directs to the latent variable correlated to those municipalities with large pasture areas, in general, and also with the largest cattle population. The variable TxLota presented the most significant factorial load in the second factor, that is, all those municipalities with the greatest concentration of cattle per unit area are represented in the second factor. The municipalities that were best represented in factor_1 are different from the ones represented in factor_2. The non-parametric correlation between the classifications of the two groups of municipalities formed by the factorial scores in the first and the second factors is small (0,24). This indicates that the context of those municipalities with the highest stocking rate is a lot different from the ones with the largest areas and cattle herds. The application of livestock development policies in the different Brazilian biomes should take into account all the distinguishing features of the municipalities, regarding their context, especially the pasture areas and their vocation for primary livestock production. 650 $aBeef cattle 650 $aLand use 650 $aMultivariate analysis 650 $aGado de Corte 650 $aUso da Terra 653 $aAnálise multivariada 653 $aTipologia 700 1 $aGREGO, C. R. 700 1 $aFASIABEN, M. do C. R. 700 1 $aGOMES, E. G. 700 1 $aALMEIDA, M. 700 1 $aOLIVEIRA, O.
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Embrapa Pantanal (CPAP) |
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Registro Completo
Biblioteca(s): |
Embrapa Algodão. |
Data corrente: |
05/06/1998 |
Data da última atualização: |
08/05/2018 |
Autoria: |
SANTOS, R. C. dos; REGO, G. M.; SILVA, A. P. G. da; FERREIRA FILHO, J. R.; VASCONCELOS, J. O. L.; COUTINHO, J. L. B.; CAMPELO, M. T. B. |
Título: |
Avaliacao de linhagens de amendoim conduzidas no semi-arido nordestino. |
Ano de publicação: |
1997 |
Fonte/Imprenta: |
Campina Grande: EMBRAPA-CNPA, 1997. |
Páginas: |
10p. |
Série: |
(EMBRAPA-CNPA. Pesquisa em Andamento, 65) |
Idioma: |
Inglês Português |
Conteúdo: |
O programa de melhoramento de amendoim da Embrapa Algodão, voltado para a região Nordeste, teve início em 1990. Contando com apoio de uma equipe multidisciplinar e interinstitucional, o programa tem como principal objetivo desenvover cultivares que, além de produtivas, sejam precoces, resistentes às cercosporioses e adaptadas às condições semi-áridas do Nordeste brasileiro. Para alcançar esses objetivos, são testadas, anualmente, milhares de linhagens nacionais e internacionais e em várias gerações, para se verificar seu comportamento agronômico e fisiológico, principalmente com relação à tolerância ao déficit hídrico. O objetivo desta pesquisa foi demonstrar, em caráter prelimnar, o desempenho destes materiais nas condições de cultivo nas regiões semi-aridas do Nordeste brasileiro. |
Palavras-Chave: |
Avaliacao; Behaviour; Brasil; Comportamento; Evaluation; Groundnut; Nordeste; Northest region; Peanut; Regiao Nordeste; Regiao semi arida; Semi arid region; Semi-arido. |
Thesagro: |
Amendoim; Arachis Hypogaea; Linhagem; Melhoramento; Pesquisa. |
Thesaurus NAL: |
Brazil; breeding; progeny. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01992nam a2200457 a 4500 001 1270018 005 2018-05-08 008 1997 bl uuuu u0uu1 u #d 100 1 $aSANTOS, R. C. dos 245 $aAvaliacao de linhagens de amendoim conduzidas no semi-arido nordestino. 260 $aCampina Grande: EMBRAPA-CNPA$c1997 300 $a10p. 490 $a(EMBRAPA-CNPA. Pesquisa em Andamento, 65) 520 $aO programa de melhoramento de amendoim da Embrapa Algodão, voltado para a região Nordeste, teve início em 1990. Contando com apoio de uma equipe multidisciplinar e interinstitucional, o programa tem como principal objetivo desenvover cultivares que, além de produtivas, sejam precoces, resistentes às cercosporioses e adaptadas às condições semi-áridas do Nordeste brasileiro. Para alcançar esses objetivos, são testadas, anualmente, milhares de linhagens nacionais e internacionais e em várias gerações, para se verificar seu comportamento agronômico e fisiológico, principalmente com relação à tolerância ao déficit hídrico. O objetivo desta pesquisa foi demonstrar, em caráter prelimnar, o desempenho destes materiais nas condições de cultivo nas regiões semi-aridas do Nordeste brasileiro. 650 $aBrazil 650 $abreeding 650 $aprogeny 650 $aAmendoim 650 $aArachis Hypogaea 650 $aLinhagem 650 $aMelhoramento 650 $aPesquisa 653 $aAvaliacao 653 $aBehaviour 653 $aBrasil 653 $aComportamento 653 $aEvaluation 653 $aGroundnut 653 $aNordeste 653 $aNorthest region 653 $aPeanut 653 $aRegiao Nordeste 653 $aRegiao semi arida 653 $aSemi arid region 653 $aSemi-arido 700 1 $aREGO, G. M. 700 1 $aSILVA, A. P. G. da 700 1 $aFERREIRA FILHO, J. R. 700 1 $aVASCONCELOS, J. O. L. 700 1 $aCOUTINHO, J. L. B. 700 1 $aCAMPELO, M. T. B.
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