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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
21/02/2014 |
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Actualizado : |
13/12/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
SÁNCHEZ, J. P.; MISZTAL, I.; AGUILAR, I.; BERTRAND, J. K. |
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Afiliación : |
J. P. SÁNCHEZ, Animal and Dairy Science Department, University of Georgia, United States; Departamento de Producción Animal, Facultad de Veterinaria, Universidad de León, Spain; I. MISZTAL, Animal and Dairy Science Department, University of Georgia, United States; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; J. K. BERTRAND, Animal and Dairy Science Department, University of Georgia, United States. |
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Título : |
Genetic evaluation of growth in a multibreed beef cattle population using random regression-linear spline models. |
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Fecha de publicación : |
2008 |
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Fuente / Imprenta : |
Journal of Animal Science, 2008, 86 (2): 267-277. |
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ISSN : |
0021-8812 |
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DOI : |
10.2527/jas.2007-0064 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received January 24, 2007. // Accepted October 2, 2007. |
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Contenido : |
ABSTRACT.
The objective of this study was to examine the feasibility of using random regression-spline (RR-spline) models for fitting growth traits in a multibreed beef cattle population. To meet the objective, the results from the RR-spline model were compared with the widely used multitrait (MT) model when both were fit to a data set (1.8 million records and 1.1 million animals) provided by the American Gelbvieh Association. The effect of prior information on the EBV of sires was also investigated. In both RR-spline and MT models, the following effects were considered: individual direct and maternal additive genetic effects, contemporary group, age of the animal at measurement, direct and maternal heterosis, and direct and maternal additive genetic mean effect of the breed. Additionally, the RR-spline model included an individual direct permanent environmental effect. When both MT and RR-spline models were applied to a data set containing records for weaning weight (WWT) and yearling weight (YWT) within specified age ranges, the rankings of bulls' direct EBV (as measured via Pearson correlations) provided by both models were comparable, with slightly greater differences in the reranking of bulls observed for YWT evaluations (≥0.99 for BWT and WWT and ≥0.98 for YWT); also, some bulls dropped from the top 100 list when these lists were compared across methods. For maternal effects, the estimated correlations were slightly smaller, particularly for YWT; again, some drops from the top 100 animals were observed. As in regular MT multibreed genetic evaluations, the heterosis effects and the additive genetic effects of the breed could not be estimated from field data, because there were not enough contemporary groups with the proper composition of purebred and crossbred animals; thus, prior information based on literature values had to be included. The inclusion of prior information had a negligible effect in the overall ranking for bulls with greater than 20 birth weight progeny records; however, the effect of prior information for breeds or groups poorly represented in the data was important. The Pearson correlations for direct and maternal WWT and YWT ranged from 0.95 to 0.98 when comparing evaluations of data sets for which the out-of-range age records were removed or retained. Random regression allows for avoiding the discarding of records that are outside the usual age ranges of measurement; thus, greater accuracies are achieved, and greater genetic progress could be expected.
©2008 American Society of Animal Science. All rights reserved. MenosABSTRACT.
The objective of this study was to examine the feasibility of using random regression-spline (RR-spline) models for fitting growth traits in a multibreed beef cattle population. To meet the objective, the results from the RR-spline model were compared with the widely used multitrait (MT) model when both were fit to a data set (1.8 million records and 1.1 million animals) provided by the American Gelbvieh Association. The effect of prior information on the EBV of sires was also investigated. In both RR-spline and MT models, the following effects were considered: individual direct and maternal additive genetic effects, contemporary group, age of the animal at measurement, direct and maternal heterosis, and direct and maternal additive genetic mean effect of the breed. Additionally, the RR-spline model included an individual direct permanent environmental effect. When both MT and RR-spline models were applied to a data set containing records for weaning weight (WWT) and yearling weight (YWT) within specified age ranges, the rankings of bulls' direct EBV (as measured via Pearson correlations) provided by both models were comparable, with slightly greater differences in the reranking of bulls observed for YWT evaluations (≥0.99 for BWT and WWT and ≥0.98 for YWT); also, some bulls dropped from the top 100 list when these lists were compared across methods. For maternal effects, the estimated correlations were slightly smaller, particularly for YWT; again, som... Presentar Todo |
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Palabras claves : |
BEEF CATTLE; GROWTH; MULTIBREED; RANDOM REGRESSION MODEL; SPLINE. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03374naa a2200253 a 4500
001 1012853
005 2018-12-13
008 2008 bl uuuu u00u1 u #d
022 $a0021-8812
024 7 $a10.2527/jas.2007-0064$2DOI
100 1 $aSÁNCHEZ, J. P.
245 $aGenetic evaluation of growth in a multibreed beef cattle population using random regression-linear spline models.
260 $c2008
500 $aArticle history: Received January 24, 2007. // Accepted October 2, 2007.
520 $aABSTRACT. The objective of this study was to examine the feasibility of using random regression-spline (RR-spline) models for fitting growth traits in a multibreed beef cattle population. To meet the objective, the results from the RR-spline model were compared with the widely used multitrait (MT) model when both were fit to a data set (1.8 million records and 1.1 million animals) provided by the American Gelbvieh Association. The effect of prior information on the EBV of sires was also investigated. In both RR-spline and MT models, the following effects were considered: individual direct and maternal additive genetic effects, contemporary group, age of the animal at measurement, direct and maternal heterosis, and direct and maternal additive genetic mean effect of the breed. Additionally, the RR-spline model included an individual direct permanent environmental effect. When both MT and RR-spline models were applied to a data set containing records for weaning weight (WWT) and yearling weight (YWT) within specified age ranges, the rankings of bulls' direct EBV (as measured via Pearson correlations) provided by both models were comparable, with slightly greater differences in the reranking of bulls observed for YWT evaluations (≥0.99 for BWT and WWT and ≥0.98 for YWT); also, some bulls dropped from the top 100 list when these lists were compared across methods. For maternal effects, the estimated correlations were slightly smaller, particularly for YWT; again, some drops from the top 100 animals were observed. As in regular MT multibreed genetic evaluations, the heterosis effects and the additive genetic effects of the breed could not be estimated from field data, because there were not enough contemporary groups with the proper composition of purebred and crossbred animals; thus, prior information based on literature values had to be included. The inclusion of prior information had a negligible effect in the overall ranking for bulls with greater than 20 birth weight progeny records; however, the effect of prior information for breeds or groups poorly represented in the data was important. The Pearson correlations for direct and maternal WWT and YWT ranged from 0.95 to 0.98 when comparing evaluations of data sets for which the out-of-range age records were removed or retained. Random regression allows for avoiding the discarding of records that are outside the usual age ranges of measurement; thus, greater accuracies are achieved, and greater genetic progress could be expected. ©2008 American Society of Animal Science. All rights reserved.
653 $aBEEF CATTLE
653 $aGROWTH
653 $aMULTIBREED
653 $aRANDOM REGRESSION MODEL
653 $aSPLINE
700 1 $aMISZTAL, I.
700 1 $aAGUILAR, I.
700 1 $aBERTRAND, J. K.
773 $tJournal of Animal Science, 2008, 86 (2): 267-277.
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
30/05/2019 |
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Actualizado : |
04/05/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
WALLACE, F.; BENNADJI, Z.; FERREIRA, F.; OLIVARO, C. |
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Afiliación : |
FEDERICO WALLACE, Espacio de Ciencia y Tecnología Química, Centro Universitario de Tacuarembó, UdelaR, Tacuarembó, Uruguay.; ZOHRA BENNADJI SOUALHIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FERNANDO AMARY FERREIRA CHIESA, Espacio de Ciencia y Tecnología Química, Centro Universitario de Tacuarembó, UdelaR, Tacuarembó, Uruguay; Laboratorio de Carbohidratos y Glicoconjugados, Departamento de Química Orgánica, Facultad de Química, Udelar, Instituto de Higiene, Uruguay.; CRISTINA OLIVARO, Espacio de Ciencia y Tecnología Química, Centro Universitario de Tacuarembó, UdelaR, Tacuarembó, Uruguay. |
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Título : |
Structural characterisation of new immunoadjuvant saponins from leaves and the first study of saponins from the bark of Quillaja brasiliensis by liquid chromatography electrospray ionisation ion trap mass spectrometry.
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Phytochemical Analysis, 1 November 2019, Volume 30, Issue 6, Pages 644-652. Doi: https://doi.org/10.1002/pca.2837 |
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DOI : |
10.1002/pca.2837 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 19 December 2018; Revised: 21 February 2019; Accepted: 27 March 2019. ACKNOWLEDGEMENTS: This work was supported by the INIA (award L4?FO?21?0?00);
the MEC (Uruguay, Fondo Vaz Ferreira fvf_2017_158) and the PEDECIBA-Química. |
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Contenido : |
Abstract. Introduction: Quillaja brasiliensis (St. A. ?Hil. & Tul) Mart (Quillajaceae) is a species native to South America, which is rich in saponins. Saponins are used in different industries, so there is a constant demand for this type of compound. Based on the wide range of applications for the saponins found in this species, notably as
immunoadjuvants, we conducted a comprehensive study of this tree and its saponins. Objective: The purpose of this work is to complete the characterisation of
the immunoadjuvant saponin fraction from Q. brasiliensis leaves and further study the saponin fraction obtained from Q. brasiliensis bark. Methodology: Saponin fractions were studied using mass spectrometry in combination with classical methods of monosaccharide and methylation analysis. We performed direct infusion and liquid chromatography/electrospray ionisation ion trap multiple?stage mass spectrometry (DI?ESI?IT?MSn and LC?ESI?IT?MS2). Results: Seventy?five saponins, 21 from leaves and 54 from bark, were tentatively identified according to their molecular mass, fragmentation pattern and chromatographic behaviour. This work represents the first investigation of saponins from the bark of Q. brasiliensis and some of them presented new structural motifs not previously reported in the genus Quillaja. Conclusion: The efficiency and selectivity of the data dependent LC?MS2 method allowed the rapid profiling of saponins from Q. brasiliensis. The results of the monosaccharide and methylation analysis performed in saponins from Q. brasiliensis fractions and Q. saponaria Molina (Quillajaceae) fraction gives further support to the structures proposed according to the mass spectral data, validating the strategy used in the present work. MenosAbstract. Introduction: Quillaja brasiliensis (St. A. ?Hil. & Tul) Mart (Quillajaceae) is a species native to South America, which is rich in saponins. Saponins are used in different industries, so there is a constant demand for this type of compound. Based on the wide range of applications for the saponins found in this species, notably as
immunoadjuvants, we conducted a comprehensive study of this tree and its saponins. Objective: The purpose of this work is to complete the characterisation of
the immunoadjuvant saponin fraction from Q. brasiliensis leaves and further study the saponin fraction obtained from Q. brasiliensis bark. Methodology: Saponin fractions were studied using mass spectrometry in combination with classical methods of monosaccharide and methylation analysis. We performed direct infusion and liquid chromatography/electrospray ionisation ion trap multiple?stage mass spectrometry (DI?ESI?IT?MSn and LC?ESI?IT?MS2). Results: Seventy?five saponins, 21 from leaves and 54 from bark, were tentatively identified according to their molecular mass, fragmentation pattern and chromatographic behaviour. This work represents the first investigation of saponins from the bark of Q. brasiliensis and some of them presented new structural motifs not previously reported in the genus Quillaja. Conclusion: The efficiency and selectivity of the data dependent LC?MS2 method allowed the rapid profiling of saponins from Q. brasiliensis. The results of the monosaccharide and methyla... Presentar Todo |
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Palabras claves : |
IMMUNOADJUVANT SAPONINS; MASS SPECTROMETRY; METHYLATION ANALYSIS; MONOSACCHARIDE ANALYIS; QUILLAJA BRASILIENSIS. |
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Asunto categoría : |
K11 Ingeniería forestal |
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Marc : |
LEADER 02910naa a2200241 a 4500
001 1059792
005 2020-05-04
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1002/pca.2837$2DOI
100 1 $aWALLACE, F.
245 $aStructural characterisation of new immunoadjuvant saponins from leaves and the first study of saponins from the bark of Quillaja brasiliensis by liquid chromatography electrospray ionisation ion trap mass spectrometry. .$h[electronic resource]
260 $c2019
500 $aArticle history: Received: 19 December 2018; Revised: 21 February 2019; Accepted: 27 March 2019. ACKNOWLEDGEMENTS: This work was supported by the INIA (award L4?FO?21?0?00); the MEC (Uruguay, Fondo Vaz Ferreira fvf_2017_158) and the PEDECIBA-Química.
520 $aAbstract. Introduction: Quillaja brasiliensis (St. A. ?Hil. & Tul) Mart (Quillajaceae) is a species native to South America, which is rich in saponins. Saponins are used in different industries, so there is a constant demand for this type of compound. Based on the wide range of applications for the saponins found in this species, notably as immunoadjuvants, we conducted a comprehensive study of this tree and its saponins. Objective: The purpose of this work is to complete the characterisation of the immunoadjuvant saponin fraction from Q. brasiliensis leaves and further study the saponin fraction obtained from Q. brasiliensis bark. Methodology: Saponin fractions were studied using mass spectrometry in combination with classical methods of monosaccharide and methylation analysis. We performed direct infusion and liquid chromatography/electrospray ionisation ion trap multiple?stage mass spectrometry (DI?ESI?IT?MSn and LC?ESI?IT?MS2). Results: Seventy?five saponins, 21 from leaves and 54 from bark, were tentatively identified according to their molecular mass, fragmentation pattern and chromatographic behaviour. This work represents the first investigation of saponins from the bark of Q. brasiliensis and some of them presented new structural motifs not previously reported in the genus Quillaja. Conclusion: The efficiency and selectivity of the data dependent LC?MS2 method allowed the rapid profiling of saponins from Q. brasiliensis. The results of the monosaccharide and methylation analysis performed in saponins from Q. brasiliensis fractions and Q. saponaria Molina (Quillajaceae) fraction gives further support to the structures proposed according to the mass spectral data, validating the strategy used in the present work.
653 $aIMMUNOADJUVANT SAPONINS
653 $aMASS SPECTROMETRY
653 $aMETHYLATION ANALYSIS
653 $aMONOSACCHARIDE ANALYIS
653 $aQUILLAJA BRASILIENSIS
700 1 $aBENNADJI, Z.
700 1 $aFERREIRA, F.
700 1 $aOLIVARO, C.
773 $tPhytochemical Analysis, 1 November 2019, Volume 30, Issue 6, Pages 644-652. Doi: https://doi.org/10.1002/pca.2837
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