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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
09/03/2023 |
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Data da última atualização: |
23/08/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
AMORIM, M. R.; SILVA, V. R. C. da; CUNHA, M. A. C. da; OLIVEIRA, C. R. S. de; LEAO, P. C. de S. |
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Afiliação: |
MARILÚCIA RIBEIRO AMORIM, Estagiária da UPE; VITÓRIA RAMOS CRUZ DA SILVA, Bolsista Pibic; MARCOS ANDREI CUSTODIO DA CUNHA, Bolsista Capes; CARLOS ROBERTO SILVA DE OLIVEIRA, Bolsista Capes; PATRICIA COELHO DE SOUZA LEAO, CPATSA. |
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Título: |
Diversidade genética entre cultivares de uvas para processamento do Banco de Germoplasma de videira da Embrapa Semiárido. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA SEMIÁRIDO, 16., 2022, Petrolina. Anais... Petrolina: Embrapa Semiárido, 2022. |
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Páginas: |
p. 37. |
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Série: |
(Embrapa Semiárido. Documentos, 308). |
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Idioma: |
Português |
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Conteúdo: |
O objetivo deste trabalho foi estudar a diversidade genética existente entre as cultivares de uvas para processamento de vinhos e sucos, avaliadas no ciclo de produção do segundo semestre de 2021, no Banco de Germoplasma (BAG) de Videira da Embrapa Semiárido. |
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Palavras-Chave: |
Cultivares de videira; Diversidade genética; Recursos genéticos; Uva de mesa. |
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Thesagro: |
Germoplasma; Melhoramento Genético Vegetal; Suco; Uva; Vinho. |
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Thesaurus Nal: |
Grapes. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152215/1/Diversidade-genetica-entre-cultivares-de-uvas-2022.pdf
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Marc: |
LEADER 01261nam a2200301 a 4500
001 2152215
005 2023-08-23
008 2022 bl uuuu u00u1 u #d
100 1 $aAMORIM, M. R.
245 $aDiversidade genética entre cultivares de uvas para processamento do Banco de Germoplasma de videira da Embrapa Semiárido.$h[electronic resource]
260 $aIn: JORNADA DE INICIAÇÃO CIENTÍFICA DA EMBRAPA SEMIÁRIDO, 16., 2022, Petrolina. Anais... Petrolina: Embrapa Semiárido$c2022
300 $ap. 37.
490 $a(Embrapa Semiárido. Documentos, 308).
520 $aO objetivo deste trabalho foi estudar a diversidade genética existente entre as cultivares de uvas para processamento de vinhos e sucos, avaliadas no ciclo de produção do segundo semestre de 2021, no Banco de Germoplasma (BAG) de Videira da Embrapa Semiárido.
650 $aGrapes
650 $aGermoplasma
650 $aMelhoramento Genético Vegetal
650 $aSuco
650 $aUva
650 $aVinho
653 $aCultivares de videira
653 $aDiversidade genética
653 $aRecursos genéticos
653 $aUva de mesa
700 1 $aSILVA, V. R. C. da
700 1 $aCUNHA, M. A. C. da
700 1 $aOLIVEIRA, C. R. S. de
700 1 $aLEAO, P. C. de S.
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
25/04/2011 |
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Data da última atualização: |
08/07/2011 |
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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: |
VIEIRA, S. R.; CARVALHO, J. R. P. de; PAZ GONZÁLEZ, A. |
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Afiliação: |
SIDNEY ROSA VIEIRA, IAC; JOSE RUY PORTO DE CARVALHO, CNPTIA; ANTONIO PAZ GONZÁLEZ, Universidade da Coruña, Espanha. |
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Título: |
Jack knifing for semivariogram validation. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Bragantia, Campinas, v. 69, p. 97-105, 2010 |
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Idioma: |
Inglês |
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Notas: |
Suplemento. |
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Conteúdo: |
The semivariogram function fitting is the most important aspect of geostatistics and because of this the model chosen must be validated. Jack knifing may be one the most efficient ways for this validation purpose. The objective of this study was to show the use of the jack knifing technique to validate geostatistical hypothesis and semivariogram models. For that purpose, topographical heights data obtained from six distinct field scales and sampling densities were analyzed. Because the topographical data showed very strong trend for all fields as it was verified by the absence of a sill in the experimental semivariograms, the trend was removed with a trend surface fitted by minimum square deviation. Semivariogram models were fitted with different techniques and the results of the jack knifing with them were compared. The jack knifing parameters analyzed were the intercept, slope and correlation coefficient between measured and estimated values, and the mean and variance of the errors calculated by the difference between measured and estimated values, divided by the square root of the estimation variances. The ideal numbers of neighbors used in each estimation was also studied using the jack knifing procedure. The jack knifing results were useful in the judgment of the adequate models fitted independent of the scale and sampling densities. It was concluded that the manual fitted semivariogram models produced better jack knifing parameters because the user has the freedom to choose a better fit in distinct regions of the semivariogram. MenosThe semivariogram function fitting is the most important aspect of geostatistics and because of this the model chosen must be validated. Jack knifing may be one the most efficient ways for this validation purpose. The objective of this study was to show the use of the jack knifing technique to validate geostatistical hypothesis and semivariogram models. For that purpose, topographical heights data obtained from six distinct field scales and sampling densities were analyzed. Because the topographical data showed very strong trend for all fields as it was verified by the absence of a sill in the experimental semivariograms, the trend was removed with a trend surface fitted by minimum square deviation. Semivariogram models were fitted with different techniques and the results of the jack knifing with them were compared. The jack knifing parameters analyzed were the intercept, slope and correlation coefficient between measured and estimated values, and the mean and variance of the errors calculated by the difference between measured and estimated values, divided by the square root of the estimation variances. The ideal numbers of neighbors used in each estimation was also studied using the jack knifing procedure. The jack knifing results were useful in the judgment of the adequate models fitted independent of the scale and sampling densities. It was concluded that the manual fitted semivariogram models produced better jack knifing parameters because the user has the freedom to c... Mostrar Tudo |
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Palavras-Chave: |
Erro reduzido; Estacionaridade; Semivariograms; Stationarity. |
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Thesagro: |
Topografia. |
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Thesaurus NAL: |
Topography. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/33101/1/Jack2.pdf
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Marc: |
LEADER 02167naa a2200229 a 4500
001 1886773
005 2011-07-08
008 2010 bl uuuu u00u1 u #d
100 1 $aVIEIRA, S. R.
245 $aJack knifing for semivariogram validation.$h[electronic resource]
260 $c2010
500 $aSuplemento.
520 $aThe semivariogram function fitting is the most important aspect of geostatistics and because of this the model chosen must be validated. Jack knifing may be one the most efficient ways for this validation purpose. The objective of this study was to show the use of the jack knifing technique to validate geostatistical hypothesis and semivariogram models. For that purpose, topographical heights data obtained from six distinct field scales and sampling densities were analyzed. Because the topographical data showed very strong trend for all fields as it was verified by the absence of a sill in the experimental semivariograms, the trend was removed with a trend surface fitted by minimum square deviation. Semivariogram models were fitted with different techniques and the results of the jack knifing with them were compared. The jack knifing parameters analyzed were the intercept, slope and correlation coefficient between measured and estimated values, and the mean and variance of the errors calculated by the difference between measured and estimated values, divided by the square root of the estimation variances. The ideal numbers of neighbors used in each estimation was also studied using the jack knifing procedure. The jack knifing results were useful in the judgment of the adequate models fitted independent of the scale and sampling densities. It was concluded that the manual fitted semivariogram models produced better jack knifing parameters because the user has the freedom to choose a better fit in distinct regions of the semivariogram.
650 $aTopography
650 $aTopografia
653 $aErro reduzido
653 $aEstacionaridade
653 $aSemivariograms
653 $aStationarity
700 1 $aCARVALHO, J. R. P. de
700 1 $aPAZ GONZÁLEZ, A.
773 $tBragantia, Campinas$gv. 69, p. 97-105, 2010
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Embrapa Agricultura Digital (CNPTIA) |
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