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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
08/07/2021 |
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Actualizado : |
08/07/2021 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
CARRAU, F.; BOIDO, E.; GAGGERO, C.; MEDINA, K.; FARIÑA, L.; DISEGNA, E.; DELLACASSA, I. |
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Afiliación : |
F. CARRAU, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay.; E. BOIDO, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay.; C. GAGGERO, Departamento de Biología Molecular Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay.; K. MEDINA, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay.; L. FARIÑA, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay.; EDGARDO JOSE DISEGNA LIGUORI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; I. DELLACASSA, Sección Enología, Facultad de Química, Universidad de la República, Montevideo, Uruguay; Cátedra de Farmacognosia y Productos Naturales, Facultad de Química, Universidad de la República ,Montevideo, Uruguay. |
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Título : |
Vitis vinifera Tannat, chemical characterization and functional properties. Ten years of research. |
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Fecha de publicación : |
2011 |
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Fuente / Imprenta : |
In: Multidisciplinary Approaches on Food Science and Nutrition for the XXI Century. Research Signpost/ Transworld Res. Network. Rosana Filip (editor), Kerala, India, 2011. pp.53-71. ISBN: 978-81-7895-504-9 |
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ISBN : |
978-81-7895-504-9 |
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Idioma : |
Inglés |
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Notas : |
Correspondence/Reprint request: Dr. E. Dellacassa, Cátedra de Farmacognosia y Productos Naturales, Facultad de Química, Universidad de la República, Gral. Flores 2124, 11800-Montevideo, Uruguay. E-mail: edellac@fq.edu.uy |
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Contenido : |
ABSTRACT - Although the ancient Vitis vinifera Tannat variety is virtually unknown in the international wine market, the strategy to promote it as the Uruguayan emblematic grape variety is starting to become successful in the red wines market. This paper presents a summary of the latest research and developments performed in
Uruguay with Tannat since the late 1970s, its origin and production statistics. As an expression of the state-of-the-art viticultural technology developed in Uruguay for this variety during the last ten years, the chemical characterization of the polyphenolic and aroma profiles, typical for this variety, is also presented. The high
polyphenolic content of this V. vinifera variety, when compared to other red grapes, confer its wines a high free radicals scavenging activity. Furthermore, from the
winemaking point of view, some New World wine-producing countries have planted this grape to blend it with their own varieties, with the purpose of adding more
structure and aging potential to their premium red wines. |
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Palabras claves : |
WINE MARKET. |
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Thesagro : |
TANNAT; VINOS; VITICULTURA; VITIS VINIFERA. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02165naa a2200277 a 4500
001 1062286
005 2021-07-08
008 2011 bl uuuu u00u1 u #d
020 $a978-81-7895-504-9
100 1 $aCARRAU, F.
245 $aVitis vinifera Tannat, chemical characterization and functional properties. Ten years of research.$h[electronic resource]
260 $c2011
500 $aCorrespondence/Reprint request: Dr. E. Dellacassa, Cátedra de Farmacognosia y Productos Naturales, Facultad de Química, Universidad de la República, Gral. Flores 2124, 11800-Montevideo, Uruguay. E-mail: edellac@fq.edu.uy
520 $aABSTRACT - Although the ancient Vitis vinifera Tannat variety is virtually unknown in the international wine market, the strategy to promote it as the Uruguayan emblematic grape variety is starting to become successful in the red wines market. This paper presents a summary of the latest research and developments performed in Uruguay with Tannat since the late 1970s, its origin and production statistics. As an expression of the state-of-the-art viticultural technology developed in Uruguay for this variety during the last ten years, the chemical characterization of the polyphenolic and aroma profiles, typical for this variety, is also presented. The high polyphenolic content of this V. vinifera variety, when compared to other red grapes, confer its wines a high free radicals scavenging activity. Furthermore, from the winemaking point of view, some New World wine-producing countries have planted this grape to blend it with their own varieties, with the purpose of adding more structure and aging potential to their premium red wines.
650 $aTANNAT
650 $aVINOS
650 $aVITICULTURA
650 $aVITIS VINIFERA
653 $aWINE MARKET
700 1 $aBOIDO, E.
700 1 $aGAGGERO, C.
700 1 $aMEDINA, K.
700 1 $aFARIÑA, L.
700 1 $aDISEGNA, E.
700 1 $aDELLACASSA, I.
773 $tIn: Multidisciplinary Approaches on Food Science and Nutrition for the XXI Century. Research Signpost/ Transworld Res. Network. Rosana Filip (editor), Kerala, India, 2011. pp.53-71. ISBN: 978-81-7895-504-9
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
18/12/2018 |
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Tipo de producción científica : |
Artículos Indexados |
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Autor : |
MISZTAL, I.; FRAGOMENI, B.; LOURENÇO, D. A. L.; TSURUTA, S.; MASUDA, Y.; AGUILAR, I.; LEGARRA, A.; LAWLOR, T. J. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Efficient inversion of genomic relationship matrix by the Algorithm for Proven and Young (APY). |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Interbull Bulletin, 2015, v. 49, p. 111-116. |
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Idioma : |
Inglés |
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Contenido : |
ABSTRACT.
The purpose of this study was to evaluate properties of the inverse of the genomic relationship matrix derived with the algorithm for proven and young (APY) and the accuracy of genomic selection in single-step genomic best linear unbiased prediction (ssGBLUP). The APY implements genomic recursions on a subset of genotyped animals. When that subset is small, the cost of APY is approximately linear in memory and computations, effectively removing restrictions on the number of genotypes. Tests involved 10 102 702 final scores from 6 930 618 Holstein cows. A total of 100 000 animals with genotypes were used in the analyses and included 23 174 sires, 27 215 cows and 49 611 young animals. Genomic estimated breeding values (GEBVs) were calculated using ssGBLUP with a regular inverse of the genomic relationship matrix (G) and with G inverse from APY. Many subsets were tested including only sires, only cows and random samples from 2 000 to 20 000 animals. When the number of animals in the subset was ≥15,000, the correlations between GEBV with APY and
GEBV with the regular inverse were ≥0.99. Best convergence rate was achieved with random samples. A theory on APY was derived and is based on the fact that additive effects of animals in the subset are linear functions of the effects of independent chromosome segments (ICSs); the number of segments is a function of the effective population size. Accuracy of GEBV with APY can be slightly superior to that of a regular inverse. The inverse with APY is computed from G, which in turn is derived from single nucleotide polymorphism (SNP) BLUP and indirectly from BayesB or other SNP-based prediction methods. Strategies like SNP selection, SNP weighting, and use of causative SNPs from sequence analysis can be incorporated in APY without additional cost. The APY removes size limitations from ssGBLUP and facilitates a model with a complex genetic architecture. MenosABSTRACT.
The purpose of this study was to evaluate properties of the inverse of the genomic relationship matrix derived with the algorithm for proven and young (APY) and the accuracy of genomic selection in single-step genomic best linear unbiased prediction (ssGBLUP). The APY implements genomic recursions on a subset of genotyped animals. When that subset is small, the cost of APY is approximately linear in memory and computations, effectively removing restrictions on the number of genotypes. Tests involved 10 102 702 final scores from 6 930 618 Holstein cows. A total of 100 000 animals with genotypes were used in the analyses and included 23 174 sires, 27 215 cows and 49 611 young animals. Genomic estimated breeding values (GEBVs) were calculated using ssGBLUP with a regular inverse of the genomic relationship matrix (G) and with G inverse from APY. Many subsets were tested including only sires, only cows and random samples from 2 000 to 20 000 animals. When the number of animals in the subset was ≥15,000, the correlations between GEBV with APY and
GEBV with the regular inverse were ≥0.99. Best convergence rate was achieved with random samples. A theory on APY was derived and is based on the fact that additive effects of animals in the subset are linear functions of the effects of independent chromosome segments (ICSs); the number of segments is a function of the effective population size. Accuracy of GEBV with APY can be slightly superior to that of a regular... Presentar Todo |
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Palabras claves : |
BIG POPULATION; GENOMIC RECURSION; INVERSION; SINGLE-STEP METHOD. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12204/1/1387-2387-1-PB.pdf
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Marc : |
LEADER 02658naa a2200253 a 4500
001 1012458
005 2018-12-18
008 2015 bl uuuu u00u1 u #d
100 1 $aMISZTAL, I.
245 $aEfficient inversion of genomic relationship matrix by the Algorithm for Proven and Young (APY).$h[electronic resource]
260 $c2015
520 $aABSTRACT. The purpose of this study was to evaluate properties of the inverse of the genomic relationship matrix derived with the algorithm for proven and young (APY) and the accuracy of genomic selection in single-step genomic best linear unbiased prediction (ssGBLUP). The APY implements genomic recursions on a subset of genotyped animals. When that subset is small, the cost of APY is approximately linear in memory and computations, effectively removing restrictions on the number of genotypes. Tests involved 10 102 702 final scores from 6 930 618 Holstein cows. A total of 100 000 animals with genotypes were used in the analyses and included 23 174 sires, 27 215 cows and 49 611 young animals. Genomic estimated breeding values (GEBVs) were calculated using ssGBLUP with a regular inverse of the genomic relationship matrix (G) and with G inverse from APY. Many subsets were tested including only sires, only cows and random samples from 2 000 to 20 000 animals. When the number of animals in the subset was ≥15,000, the correlations between GEBV with APY and GEBV with the regular inverse were ≥0.99. Best convergence rate was achieved with random samples. A theory on APY was derived and is based on the fact that additive effects of animals in the subset are linear functions of the effects of independent chromosome segments (ICSs); the number of segments is a function of the effective population size. Accuracy of GEBV with APY can be slightly superior to that of a regular inverse. The inverse with APY is computed from G, which in turn is derived from single nucleotide polymorphism (SNP) BLUP and indirectly from BayesB or other SNP-based prediction methods. Strategies like SNP selection, SNP weighting, and use of causative SNPs from sequence analysis can be incorporated in APY without additional cost. The APY removes size limitations from ssGBLUP and facilitates a model with a complex genetic architecture.
653 $aBIG POPULATION
653 $aGENOMIC RECURSION
653 $aINVERSION
653 $aSINGLE-STEP METHOD
700 1 $aFRAGOMENI, B.
700 1 $aLOURENÇO, D. A. L.
700 1 $aTSURUTA, S.
700 1 $aMASUDA, Y.
700 1 $aAGUILAR, I.
700 1 $aLEGARRA, A.
700 1 $aLAWLOR, T. J.
773 $tInterbull Bulletin, 2015$gv. 49, p. 111-116.
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