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| 7. |  | CABRERA, M.C.; OLIVERO, R.; DEL PUERTO, M.; SAADOUN, A.; NAYA, D.; ZUNINI, P.; GUERRA, H. Características digestivas de la nutria en la etapa de engorde y su importancia en la regulación de la ingesta de alimento, utilización de la proteína, fibra y energía alimentaria Las Brujas, Canelones (Uruguay): INIA, 2002. p. 1-3 (INIA Serie Actividades de Difusión ; 290)| Biblioteca(s): INIA Las Brujas. |
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| 12. | | ROVIRA, P.J.; BRUGNINI , G.; RODRIGUEZ, J.; CABRERA, M.C.; SAADOUN, A.; DE SOUZA, G.; LUZARDO, S.; RUFO, C. Microbiological changes during long-storage of beef meat under different temperature and vacuum-packaging conditions. Foods, 2023, volume 12, issue 4, article 694. OPEN ACCESS. doi: https://doi.org/10.3390/foods12040694 Article history: Received 28 December 2022; Revised 26 January 2023; Accepted 30 January 2023; Published 6 February 2023. -- Correspondence: Santiago Luzardo, mail: sluzardo@inia.org.uy (S.L.); Caterina Rufo, mail: crufo@fq.edu.uy (C.R.)...| Biblioteca(s): INIA Las Brujas. |
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| 13. | | LUZARDO, S.; SAADOUN, A.; CABRERA, M. C.; TEREVINTO, A.; BRUGNINI, G.; RODRIGUEZ, J.; DE SOUZA, G.; ROVIRA, P.J.; RUFO, C. Effect of beef long-storage under different temperatures and vacuum-packaging conditions on meat quality, oxidation processes and microbial growth. Journal of the Science of Food and Agriculture, 2023. https://doi.org/10.1002/jsfa.12999 -- OPEN ACCESS. Article history: Manuscript received 04 June 2023, Manuscript revised 09 August 2023, Manuscript accepted 19 September 2023, Accepted manuscript online 22 September 2023, Version of Record online 06 October 2023. -- Correspondence...| Biblioteca(s): INIA Las Brujas. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
15/11/2015 |
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Actualizado : |
09/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 2 |
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Autor : |
FRAGOMENI, B.O.; MISZTAL, I.; LOURENCO, D.L.; AGUILAR, I.; OKIMOTO, R.; MUIR, W.M. |
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Afiliación : |
IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Changes in variance explained by top SNP windows over generations for three traits in broiler chicken |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Frontiers in Genetics, 2014, v.5, no.Oct., Article number 332. OPEN ACCESS. |
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ISSN : |
1664-8021 |
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DOI : |
10.3389/fgene.2014.00332 |
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Idioma : |
Inglés |
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Notas : |
Article history: Published 01 October 2014. |
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Contenido : |
ABSTRACT.
The purpose of this study was to determine if the set of genomic regions inferred as accounting for the majority of genetic variation in quantitative traits remain stable over multiple generations of selection. The data set contained phenotypes for five generations of broiler chicken for body weight, breast meat, and leg score. The population consisted of 294,632 animals over five generations and also included genotypes of 41,036 single nucleotide polymorphism (SNP) for 4,866 animals, after quality control. The SNP effects were calculated by a GWAS type analysis using single step genomic BLUP approach for generations 1-3, 2-4, 3-5, and 1-5. Variances were calculated for windows of 20 SNP. The top ten windows for each trait that explained the largest fraction of the genetic variance across generations were examined. Across generations, the top 10 windows explained more than 0.5% but less than 1% of the total variance. Also, the pattern of the windows was not consistent across generations. The windows that explained the greatest variance changed greatly among the combinations of generations, with a few exceptions. In many cases, a window identified as top for one combination, explained less than 0.1% for the other combinations. We conclude that identification of top SNP windows for a population may have little predictive power for genetic selection in the following generations for the traits here evaluated.
© 2014 Fragomeni, Misztal, Lourenco, Aguilar, Okimoto and Muir. MenosABSTRACT.
The purpose of this study was to determine if the set of genomic regions inferred as accounting for the majority of genetic variation in quantitative traits remain stable over multiple generations of selection. The data set contained phenotypes for five generations of broiler chicken for body weight, breast meat, and leg score. The population consisted of 294,632 animals over five generations and also included genotypes of 41,036 single nucleotide polymorphism (SNP) for 4,866 animals, after quality control. The SNP effects were calculated by a GWAS type analysis using single step genomic BLUP approach for generations 1-3, 2-4, 3-5, and 1-5. Variances were calculated for windows of 20 SNP. The top ten windows for each trait that explained the largest fraction of the genetic variance across generations were examined. Across generations, the top 10 windows explained more than 0.5% but less than 1% of the total variance. Also, the pattern of the windows was not consistent across generations. The windows that explained the greatest variance changed greatly among the combinations of generations, with a few exceptions. In many cases, a window identified as top for one combination, explained less than 0.1% for the other combinations. We conclude that identification of top SNP windows for a population may have little predictive power for genetic selection in the following generations for the traits here evaluated.
© 2014 Fragomeni, Misztal, Lourenco, Aguilar, Okimoto and... Presentar Todo |
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Palabras claves : |
Gene identification; Genome-wide association study; Genomic selection; QTL; SsGBLUP. |
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Thesagro : |
MEJORAMIENTO GENETICO ANIMAL; POLLO DE ENGORDE. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5195/1/Aguilar-I.-2014.-Frontiers-in-Genetics.pdf
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Marc : |
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100 1 $aFRAGOMENI, B.O.
245 $aChanges in variance explained by top SNP windows over generations for three traits in broiler chicken$h[electronic resource]
260 $c2014
500 $aArticle history: Published 01 October 2014.
520 $aABSTRACT. The purpose of this study was to determine if the set of genomic regions inferred as accounting for the majority of genetic variation in quantitative traits remain stable over multiple generations of selection. The data set contained phenotypes for five generations of broiler chicken for body weight, breast meat, and leg score. The population consisted of 294,632 animals over five generations and also included genotypes of 41,036 single nucleotide polymorphism (SNP) for 4,866 animals, after quality control. The SNP effects were calculated by a GWAS type analysis using single step genomic BLUP approach for generations 1-3, 2-4, 3-5, and 1-5. Variances were calculated for windows of 20 SNP. The top ten windows for each trait that explained the largest fraction of the genetic variance across generations were examined. Across generations, the top 10 windows explained more than 0.5% but less than 1% of the total variance. Also, the pattern of the windows was not consistent across generations. The windows that explained the greatest variance changed greatly among the combinations of generations, with a few exceptions. In many cases, a window identified as top for one combination, explained less than 0.1% for the other combinations. We conclude that identification of top SNP windows for a population may have little predictive power for genetic selection in the following generations for the traits here evaluated. © 2014 Fragomeni, Misztal, Lourenco, Aguilar, Okimoto and Muir.
650 $aMEJORAMIENTO GENETICO ANIMAL
650 $aPOLLO DE ENGORDE
653 $aGene identification
653 $aGenome-wide association study
653 $aGenomic selection
653 $aQTL
653 $aSsGBLUP
700 1 $aMISZTAL, I.
700 1 $aLOURENCO, D.L.
700 1 $aAGUILAR, I.
700 1 $aOKIMOTO, R.
700 1 $aMUIR, W.M.
773 $tFrontiers in Genetics, 2014$gv.5, no.Oct., Article number 332. OPEN ACCESS.
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