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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha : |
21/02/2014 |
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Actualizado : |
01/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
RESQUÍN, F.; BARRICHELO, L.E.G.; DA SILVA JR., F.G.; BRITO, J.O.; SANSIGOLO, C.A. |
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Afiliación : |
JOSE FERNANDO RESQUIN PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIZ ERNESTO GEORGE BARRICHELO, University of São Paulo, Brazil; FRANCIDES GOMES DA SILVA JÚNIOR, University of São Paulo, Brazil; JOSÉ OTÁVIO BRITO, University of São Paulo, Brazil; CLÁUDIO ANGELI SANSIGOLO, State University of São Paulo, Brazil. |
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Título : |
Wood quality for kraft pulping of Eucalyptus globulus origins planted in Uruguay. [Qualidade da madeira para polpa celulósica kraft de Eucalyptus globulus plantados no Uruguai]. |
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Fecha de publicación : |
2006 |
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Fuente / Imprenta : |
Scientia Forestalis/Forest Sciences, December 2006, Issue 72, Pages 57-66. Open Access |
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Descripción física : |
2-s2.0-33845534948 |
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Idioma : |
Inglés |
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Notas : |
Article history: Recebido em 03/09/2004 // Aceito para publicação em 20/10/2006. |
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Contenido : |
Resumo: A madeira Eucalyptus globulus é uma importante matéria-prima para produção de polpa celulósica kraft. O objetivo deste trabalho foi avaliar diferentes materiais genéticos de E. globulus em termos de propriedades da madeira e polpa celulósica. Os resultados mostram que os valores de densidade básica podem ser considerados normais para madeiras destinadas à produção de polpa celulósica; as procedências com as maiores densidades básicas são originadas do sul do estado de Victoria; as dimensões de fibras indicam que todos os materiais avaliados podem ser utilizados para produção de polpa celulósica kraft; o teor de holocelulose variou de 69 a 72%; os maiores rendimentos depurados foram obtidos para os materiais do sul do estado de Victoria.
Abstract: Eucalyptus globulus is an important raw-material for kraft pulping and has a wide geographical distribution. The objective of this paper was to evaluate E. globulus origins in terms of their wood and pulp properties. The results showed that wood density values for the origins are within the values considered advisable for kraft pulp production; origins with the highest wood density were from the south of Victoria state; fiber dimensions indexes obtained in this study allow us to infer that all origins are suitable for paper production; holocellulose content varied from 69 to 72%; the highest screened yield values correspond to the origins from south Victoria. |
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Palabras claves : |
BASIC DENSITY; CELULOSA; CHEMICAL CONTROL; EUCALYPTUS GLOBULUS; FIBER DIMENSIONS; KRAFT PULP; PULP; PULP STRENGTH; REFINING; WOOD QUALITY. |
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Thesagro : |
FORESTACIÓN. |
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Asunto categoría : |
K10 Producción forestal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13379/1/RESQUIN-2006.pdf
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Marc : |
LEADER 02543naa a2200325 a 4500
001 1017838
005 2019-10-01
008 2006 bl uuuu u00u1 u #d
100 1 $aRESQUÍN, F.
245 $aWood quality for kraft pulping of Eucalyptus globulus origins planted in Uruguay. [Qualidade da madeira para polpa celulósica kraft de Eucalyptus globulus plantados no Uruguai].$h[electronic resource]
260 $c2006
300 $c2-s2.0-33845534948
500 $aArticle history: Recebido em 03/09/2004 // Aceito para publicação em 20/10/2006.
520 $aResumo: A madeira Eucalyptus globulus é uma importante matéria-prima para produção de polpa celulósica kraft. O objetivo deste trabalho foi avaliar diferentes materiais genéticos de E. globulus em termos de propriedades da madeira e polpa celulósica. Os resultados mostram que os valores de densidade básica podem ser considerados normais para madeiras destinadas à produção de polpa celulósica; as procedências com as maiores densidades básicas são originadas do sul do estado de Victoria; as dimensões de fibras indicam que todos os materiais avaliados podem ser utilizados para produção de polpa celulósica kraft; o teor de holocelulose variou de 69 a 72%; os maiores rendimentos depurados foram obtidos para os materiais do sul do estado de Victoria. Abstract: Eucalyptus globulus is an important raw-material for kraft pulping and has a wide geographical distribution. The objective of this paper was to evaluate E. globulus origins in terms of their wood and pulp properties. The results showed that wood density values for the origins are within the values considered advisable for kraft pulp production; origins with the highest wood density were from the south of Victoria state; fiber dimensions indexes obtained in this study allow us to infer that all origins are suitable for paper production; holocellulose content varied from 69 to 72%; the highest screened yield values correspond to the origins from south Victoria.
650 $aFORESTACIÓN
653 $aBASIC DENSITY
653 $aCELULOSA
653 $aCHEMICAL CONTROL
653 $aEUCALYPTUS GLOBULUS
653 $aFIBER DIMENSIONS
653 $aKRAFT PULP
653 $aPULP
653 $aPULP STRENGTH
653 $aREFINING
653 $aWOOD QUALITY
700 1 $aBARRICHELO, L.E.G.
700 1 $aDA SILVA JR., F.G.
700 1 $aBRITO, J.O.
700 1 $aSANSIGOLO, C.A.
773 $tScientia Forestalis/Forest Sciences, December 2006, Issue 72, Pages 57-66. Open Access
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Registro original : |
INIA Tacuarembó (TBO) |
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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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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
11/09/2014 |
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Actualizado : |
30/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 2 |
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Autor : |
LOURENCO, D.A.L.; MISZTAL, I.; WANG, H.; AGUILAR, I.; TSURUTA, S.; BERTRAND, J.K. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Prediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models. |
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Fecha de publicación : |
2013 |
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Fuente / Imprenta : |
Journal of Animal Science, 2013, v.91, no.9, p.4090-4098. |
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ISSN : |
0021-8812 |
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DOI : |
10.2527/jas.2012-5826 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published online July 26, 2013.
This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National Institute of Food and Agriculture Animal Genome Program). Helpful comments and suggestions from W. M. Snelling (U.S. Meat Animal Research Center, ARS, USDA, Clay Center, NE) and two anonymous reviewers are gratefully acknowledged. |
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Contenido : |
ABSTRACT.
Different methods for genomic evaluation were compared for accuracy and feasibility of evaluation using phenotypic, pedigree, and genomic information for a trait influenced by a maternal effect. A simulated population was constructed that included 15,800 animals in 5 generations. Genotypes from 45,000 SNP were available for 1,500 animals in the last 3 generations. Genotyped animals in the last generation had no phenotypes. Weaning weight data were simulated using an animal model with direct and maternal effects. Additive direct and maternal effects were considered either noncorrelated (Graphic) or negatively correlated (Graphic). Methods of analysis were traditional BLUP, BayesC using phenotypes and ignoring maternal effects (BayesCPR), BayesC using deregressed EBV (BayesCDEBV), and single-step genomic BLUP (ssGBLUP). Whereas BayesCPR can be used when phenotypes of only genotyped animals are available, BayesCDEBV can be used when BLUP EBV of genotyped animals are available, and ssGBLUP is suitable when genotypes, phenotypes, and pedigrees are jointly available. For all genotyped and young genotyped animals, mean accuracies from BayesCPR and BayesCDEBV were lower than accuracies from BLUP for direct and maternal effects. The differences in mean accuracy were greater when genetic correlation was negative. Gains in accuracy were observed when ssGBLUP was compared with BLUP; for the direct (maternal) effect the average gain was 0.01 (0.02) for all genotyped animals and 0.03 (0.02) for young genotyped animals without phenotypes. Similar gains were observed for 0 and negative genetic correlation. Accuracy with BayesCPR was affected by ignoring phenotypes of nongenotyped animals and maternal effect and by not accounting for parent average. Accuracy with BayesCDEBV was affected by approximations needed for deregression, not accounting for parent average, and sequential rather than simultaneous fitting of genomic and nongenomic information. Whereas BayesCDEBV presented a considerable bias, especially for maternal effect, ssGBLUP was unbiased for both effects. The computing time was 1 s for BLUP, 44 s for ssGBLUP, and over 2,000 s for BayesC. Greatest computational efficiency and accuracy of genomic prediction for a maternally affected trait was obtained when information from all nongenotyped but related individuals was included and phenotypes, pedigree, and genotypes were available and considered jointly. Increasing the gain in accuracy of genomic predictions obtained by ssGBLUP over BLUP may require an increase in the number of genotyped animals. MenosABSTRACT.
Different methods for genomic evaluation were compared for accuracy and feasibility of evaluation using phenotypic, pedigree, and genomic information for a trait influenced by a maternal effect. A simulated population was constructed that included 15,800 animals in 5 generations. Genotypes from 45,000 SNP were available for 1,500 animals in the last 3 generations. Genotyped animals in the last generation had no phenotypes. Weaning weight data were simulated using an animal model with direct and maternal effects. Additive direct and maternal effects were considered either noncorrelated (Graphic) or negatively correlated (Graphic). Methods of analysis were traditional BLUP, BayesC using phenotypes and ignoring maternal effects (BayesCPR), BayesC using deregressed EBV (BayesCDEBV), and single-step genomic BLUP (ssGBLUP). Whereas BayesCPR can be used when phenotypes of only genotyped animals are available, BayesCDEBV can be used when BLUP EBV of genotyped animals are available, and ssGBLUP is suitable when genotypes, phenotypes, and pedigrees are jointly available. For all genotyped and young genotyped animals, mean accuracies from BayesCPR and BayesCDEBV were lower than accuracies from BLUP for direct and maternal effects. The differences in mean accuracy were greater when genetic correlation was negative. Gains in accuracy were observed when ssGBLUP was compared with BLUP; for the direct (maternal) effect the average gain was 0.01 (0.02) for all genotyped animals an... Presentar Todo |
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Thesagro : |
GANADERÍA; GANADO DE CARNE; MEJORAMIENTO GENÉTICO ANIMAL; MODELOS DE SIMULACIÓN; SELECCIÓN GENÓMICA. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 03895naa a2200277 a 4500
001 1050147
005 2019-10-30
008 2013 bl uuuu u00u1 u #d
022 $a0021-8812
024 7 $a10.2527/jas.2012-5826$2DOI
100 1 $aLOURENCO, D.A.L.
245 $aPrediction accuracy for a simulated maternally affected trait of beef cattle using different genomic evaluation models.$h[electronic resource]
260 $c2013
500 $aArticle history: Published online July 26, 2013. This study was partially funded by the American Angus Association (St. Joseph, MO) and the USDA Agriculture and Food Research Initiative (Grant no. 2009-65205-05665 from the USDA National Institute of Food and Agriculture Animal Genome Program). Helpful comments and suggestions from W. M. Snelling (U.S. Meat Animal Research Center, ARS, USDA, Clay Center, NE) and two anonymous reviewers are gratefully acknowledged.
520 $aABSTRACT. Different methods for genomic evaluation were compared for accuracy and feasibility of evaluation using phenotypic, pedigree, and genomic information for a trait influenced by a maternal effect. A simulated population was constructed that included 15,800 animals in 5 generations. Genotypes from 45,000 SNP were available for 1,500 animals in the last 3 generations. Genotyped animals in the last generation had no phenotypes. Weaning weight data were simulated using an animal model with direct and maternal effects. Additive direct and maternal effects were considered either noncorrelated (Graphic) or negatively correlated (Graphic). Methods of analysis were traditional BLUP, BayesC using phenotypes and ignoring maternal effects (BayesCPR), BayesC using deregressed EBV (BayesCDEBV), and single-step genomic BLUP (ssGBLUP). Whereas BayesCPR can be used when phenotypes of only genotyped animals are available, BayesCDEBV can be used when BLUP EBV of genotyped animals are available, and ssGBLUP is suitable when genotypes, phenotypes, and pedigrees are jointly available. For all genotyped and young genotyped animals, mean accuracies from BayesCPR and BayesCDEBV were lower than accuracies from BLUP for direct and maternal effects. The differences in mean accuracy were greater when genetic correlation was negative. Gains in accuracy were observed when ssGBLUP was compared with BLUP; for the direct (maternal) effect the average gain was 0.01 (0.02) for all genotyped animals and 0.03 (0.02) for young genotyped animals without phenotypes. Similar gains were observed for 0 and negative genetic correlation. Accuracy with BayesCPR was affected by ignoring phenotypes of nongenotyped animals and maternal effect and by not accounting for parent average. Accuracy with BayesCDEBV was affected by approximations needed for deregression, not accounting for parent average, and sequential rather than simultaneous fitting of genomic and nongenomic information. Whereas BayesCDEBV presented a considerable bias, especially for maternal effect, ssGBLUP was unbiased for both effects. The computing time was 1 s for BLUP, 44 s for ssGBLUP, and over 2,000 s for BayesC. Greatest computational efficiency and accuracy of genomic prediction for a maternally affected trait was obtained when information from all nongenotyped but related individuals was included and phenotypes, pedigree, and genotypes were available and considered jointly. Increasing the gain in accuracy of genomic predictions obtained by ssGBLUP over BLUP may require an increase in the number of genotyped animals.
650 $aGANADERÍA
650 $aGANADO DE CARNE
650 $aMEJORAMIENTO GENÉTICO ANIMAL
650 $aMODELOS DE SIMULACIÓN
650 $aSELECCIÓN GENÓMICA
700 1 $aMISZTAL, I.
700 1 $aWANG, H.
700 1 $aAGUILAR, I.
700 1 $aTSURUTA, S.
700 1 $aBERTRAND, J.K.
773 $tJournal of Animal Science, 2013$gv.91, no.9, p.4090-4098.
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