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Biblioteca(s): |
Embrapa Unidades Centrais. |
Data corrente: |
30/12/2021 |
Data da última atualização: |
02/08/2022 |
Autoria: |
CHRIST, G. D.; STRAUCH, A. G. N.; SANTOS, L. P. dos; SHIKIDA, P. F. A. |
Afiliação: |
GABRIELA DAIANA CHRIST; ALLAN GEORGES NAKKA STRAUCH; LEANDRO PEREIRA DOS SANTOS, Instituto Federal do Paraná (IFPR); PERY FRANCISCO ASSIS SHIKIDA, Unioeste. |
Título: |
The competitiveness of Brazilian agribusiness in international trade. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Revista de Política Agrícola, ano 30, n. 4, out./dez. 2021. |
Páginas: |
122-139 |
Idioma: |
Inglês |
Conteúdo: |
Becoming globally competitive has proved more and more to be a challenge not only for Brazil, but for all countries. However, knowing the dynamics of international trade, to verify whether the export agenda is in line with the world demand can be a step towards decision-making for the attaining of better efficiency for Brazil?s international insertion. The objective of this study was to analyze the insertion of Brazil?s agribusiness in the international agricultural trade, and to identify the ranking of its products in comparison with the world, considering the 2005-2007 and 2015-2017 triennia, based on the methodology suggested by Fajnzylber (1991). It was possible to identify that the situation is favorable, since 46.51% of the country?s export total value in agribusiness products, in the 2015-2017 triennium, is composed of 150 products classified in an optimum situation according to the proposed methodological approach. |
Thesagro: |
Exportação; Mercado Internacional. |
Thesaurus Nal: |
Exports; Foreign markets; Market share. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229862/1/A-competitividade.pdf
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Marc: |
LEADER 01591naa a2200229 a 4500 001 2138636 005 2022-08-02 008 2021 bl uuuu u00u1 u #d 100 1 $aCHRIST, G. D. 245 $aThe competitiveness of Brazilian agribusiness in international trade.$h[electronic resource] 260 $c2021 300 $a122-139 520 $aBecoming globally competitive has proved more and more to be a challenge not only for Brazil, but for all countries. However, knowing the dynamics of international trade, to verify whether the export agenda is in line with the world demand can be a step towards decision-making for the attaining of better efficiency for Brazil?s international insertion. The objective of this study was to analyze the insertion of Brazil?s agribusiness in the international agricultural trade, and to identify the ranking of its products in comparison with the world, considering the 2005-2007 and 2015-2017 triennia, based on the methodology suggested by Fajnzylber (1991). It was possible to identify that the situation is favorable, since 46.51% of the country?s export total value in agribusiness products, in the 2015-2017 triennium, is composed of 150 products classified in an optimum situation according to the proposed methodological approach. 650 $aExports 650 $aForeign markets 650 $aMarket share 650 $aExportação 650 $aMercado Internacional 700 1 $aSTRAUCH, A. G. N. 700 1 $aSANTOS, L. P. dos 700 1 $aSHIKIDA, P. F. A. 773 $tRevista de Política Agrícola, ano 30$gn. 4, out./dez. 2021.
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Embrapa Unidades Centrais (AI-SEDE) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
13/01/2020 |
Data da última atualização: |
06/02/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
SILVA, D. A.; COSTA, C. N.; SILVA, A. A.; SILVA, H. T.; LOPES, P. S.; SILVA, F. F.; VERONEZE, R.; THOMPSON, G.; AGUILAR, I.; CARVALHEIRA, J. |
Afiliação: |
CLAUDIO NAPOLIS COSTA, CNPGL. |
Título: |
Autoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Journal of Animal Breeding and Genetics, v. 137, n. 3, p. 305-315, 2020. |
DOI: |
https://doi.org/10.1111/jbg.12459 |
Idioma: |
Inglês |
Conteúdo: |
Autoregressive (AR) and random regression (RR) models were fitted to test-day records from the first three lactations of Brazilian Holstein cattle with the objective of comparing their efficiency for national genetic evaluations. The data comprised 4,142,740 records of milk yield (MY) and somatic cell score (SCS) from 274,335 cows belonging to 2,322 herds. Although heritabilities were similar between models and traits, additive genetic variance estimates using AR were 7.0 (MY) and 22.2% (SCS) higher than those obtained from RR model. On the other hand, residual variances were lower in both traits when estimated through AR model. The rank correlation between EBV obtained from AR and RR models was 0.96 and 0.94 (MY) and 0.97 and 0.95 (SCS), respectively, for bulls (with 10 or more daughters) and cows. Estimated annual genetic gains for bulls (cows) obtained using AR were 46.11 (49.50) kg for MY and -0.019 (-0.025) score for SCS; whereas using RR these values were 47.70 (55.56) kg and -0.022 (-0.028) score. Akaike information criterion was lower for AR in both traits. Although AR model is more parsimonious, RR model assumes genetic correlations different from the unity within and across lactations. Thus, when these correlations are relatively high, these models tend to yield to similar predictions; otherwise, they will differ more and RR model would be theoretically sounder. |
Palavras-Chave: |
Autoregression; Legendre polynomials; Random regression. |
Thesaurus NAL: |
Dairy cattle. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02289naa a2200289 a 4500 001 2118639 005 2024-02-06 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1111/jbg.12459$2DOI 100 1 $aSILVA, D. A. 245 $aAutoregressive and random regression test-day models for multiple lactations in genetic evaluation of Brazilian Holstein cattle.$h[electronic resource] 260 $c2020 520 $aAutoregressive (AR) and random regression (RR) models were fitted to test-day records from the first three lactations of Brazilian Holstein cattle with the objective of comparing their efficiency for national genetic evaluations. The data comprised 4,142,740 records of milk yield (MY) and somatic cell score (SCS) from 274,335 cows belonging to 2,322 herds. Although heritabilities were similar between models and traits, additive genetic variance estimates using AR were 7.0 (MY) and 22.2% (SCS) higher than those obtained from RR model. On the other hand, residual variances were lower in both traits when estimated through AR model. The rank correlation between EBV obtained from AR and RR models was 0.96 and 0.94 (MY) and 0.97 and 0.95 (SCS), respectively, for bulls (with 10 or more daughters) and cows. Estimated annual genetic gains for bulls (cows) obtained using AR were 46.11 (49.50) kg for MY and -0.019 (-0.025) score for SCS; whereas using RR these values were 47.70 (55.56) kg and -0.022 (-0.028) score. Akaike information criterion was lower for AR in both traits. Although AR model is more parsimonious, RR model assumes genetic correlations different from the unity within and across lactations. Thus, when these correlations are relatively high, these models tend to yield to similar predictions; otherwise, they will differ more and RR model would be theoretically sounder. 650 $aDairy cattle 653 $aAutoregression 653 $aLegendre polynomials 653 $aRandom regression 700 1 $aCOSTA, C. N. 700 1 $aSILVA, A. A. 700 1 $aSILVA, H. T. 700 1 $aLOPES, P. S. 700 1 $aSILVA, F. F. 700 1 $aVERONEZE, R. 700 1 $aTHOMPSON, G. 700 1 $aAGUILAR, I. 700 1 $aCARVALHEIRA, J. 773 $tJournal of Animal Breeding and Genetics$gv. 137, n. 3, p. 305-315, 2020.
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