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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
21/02/2014 |
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Actualizado : |
08/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
VIÑOLES, C.; FORSBERG, M.; BANCHERO, G.; RUBIANES, E. |
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Afiliación : |
CAROLINA VIÑOLES GIL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Center for Reproductive Biology, Dept. of Clinical Chemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; EDGARDO RUBIANES, Dept. of Physiology, Faculty of Veterinary Medicine, Lasplaces 1550, Montevideo, Uruguay. |
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Título : |
Effect of long-term and short-term progestagen treatment on follicular development and pregnancy rate in cyclic ewes. |
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Fecha de publicación : |
2001 |
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Fuente / Imprenta : |
Theriogenology, 1 March 2001, Volume 55, Issue 4, Pages 993-1004 |
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DOI : |
10.1016/S0093-691X(01)00460-5 |
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Idioma : |
Inglés |
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Notas : |
Article history:Received for publication: September 28, 1999/ Accepted: May 1, 2000. |
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Contenido : |
Abstract.
The aim of this study was to evaluate the effect of the length of a progestagen treatment (12 d vs. 6 d) on follicular dynamics, estrus synchronization and pregnancy rate using medroxyprogesterone acetate (MAP) with or without an eCG dose at the end of MAP treatment. One hundred sixty Polwarth ewes were divided into four equal groups: long-term treated (LT, n=40); short-term treated (ST, n=40); long-term treated plus eCG (LTeCG, n=40); and short-term treated plus eCG (STeCG, n=40). Five ewes of each group were separated to undergo daily transrectal ultrasonography, and blood samples were taken for hormone determination. Until 96 h after sponge withdrawal the number of ewes in estrus was higher in both long-term-treated groups than in both short-term-treated groups but at the end of the observational period (144 h) no significant differences were found among groups. The pregnancy rate was higher in the ST group (87%) than in the other groups (LT, 63%; LTeCG, 67%; and STeCG, 58%; P< or =0.03). The ovulatory follicle emerged before sponge withdrawal in long-term-treated ewes (-3.8+/-0.4 d and -2.2+/-0.8 d for LT and LTeCG, respectively), whereas in short-term-treated ewes it emerges around sponge removal (0.4+/-1.1 d and 0.5+/-0.5 d for ST and STeCG, respectively; P< or =0.01). The ovulatory follicle in the LT group had a longer lifespan and attained a larger (P< or =0.05) maximum diameter than in the ST group. We conclude: a) that the lower pregnancy rate observed after long-term progestagen treatment was related to a slower follicular turnover that promoted the ovulation of persistent dominant follicles; (b) that short-term treatment resulted in a higher pregnancy rate probably due to the ovulation of newly recruited growing follicles; and (c) treatment with eCG had no advantage in association with long-term treatment and had a deleterious effect in combination with short-term treatment with MAP MenosAbstract.
The aim of this study was to evaluate the effect of the length of a progestagen treatment (12 d vs. 6 d) on follicular dynamics, estrus synchronization and pregnancy rate using medroxyprogesterone acetate (MAP) with or without an eCG dose at the end of MAP treatment. One hundred sixty Polwarth ewes were divided into four equal groups: long-term treated (LT, n=40); short-term treated (ST, n=40); long-term treated plus eCG (LTeCG, n=40); and short-term treated plus eCG (STeCG, n=40). Five ewes of each group were separated to undergo daily transrectal ultrasonography, and blood samples were taken for hormone determination. Until 96 h after sponge withdrawal the number of ewes in estrus was higher in both long-term-treated groups than in both short-term-treated groups but at the end of the observational period (144 h) no significant differences were found among groups. The pregnancy rate was higher in the ST group (87%) than in the other groups (LT, 63%; LTeCG, 67%; and STeCG, 58%; P< or =0.03). The ovulatory follicle emerged before sponge withdrawal in long-term-treated ewes (-3.8+/-0.4 d and -2.2+/-0.8 d for LT and LTeCG, respectively), whereas in short-term-treated ewes it emerges around sponge removal (0.4+/-1.1 d and 0.5+/-0.5 d for ST and STeCG, respectively; P< or =0.01). The ovulatory follicle in the LT group had a longer lifespan and attained a larger (P< or =0.05) maximum diameter than in the ST group. We conclude: a) that the lower pregnancy rate observed af... Presentar Todo |
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Palabras claves : |
EWES; FERTILITY; OVARIAN DYNAMICS; PREÑEZ EN OVEJA; PROGESTAGEN; ULTRASONOGRAPHY. |
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Asunto categoría : |
L53 Fisiología Animal - Reproducción |
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Marc : |
LEADER 02753naa a2200253 a 4500
001 1049494
005 2019-10-08
008 2001 bl uuuu u00u1 u #d
024 7 $a10.1016/S0093-691X(01)00460-5$2DOI
100 1 $aVIÑOLES, C.
245 $aEffect of long-term and short-term progestagen treatment on follicular development and pregnancy rate in cyclic ewes.
260 $c2001
500 $aArticle history:Received for publication: September 28, 1999/ Accepted: May 1, 2000.
520 $aAbstract. The aim of this study was to evaluate the effect of the length of a progestagen treatment (12 d vs. 6 d) on follicular dynamics, estrus synchronization and pregnancy rate using medroxyprogesterone acetate (MAP) with or without an eCG dose at the end of MAP treatment. One hundred sixty Polwarth ewes were divided into four equal groups: long-term treated (LT, n=40); short-term treated (ST, n=40); long-term treated plus eCG (LTeCG, n=40); and short-term treated plus eCG (STeCG, n=40). Five ewes of each group were separated to undergo daily transrectal ultrasonography, and blood samples were taken for hormone determination. Until 96 h after sponge withdrawal the number of ewes in estrus was higher in both long-term-treated groups than in both short-term-treated groups but at the end of the observational period (144 h) no significant differences were found among groups. The pregnancy rate was higher in the ST group (87%) than in the other groups (LT, 63%; LTeCG, 67%; and STeCG, 58%; P< or =0.03). The ovulatory follicle emerged before sponge withdrawal in long-term-treated ewes (-3.8+/-0.4 d and -2.2+/-0.8 d for LT and LTeCG, respectively), whereas in short-term-treated ewes it emerges around sponge removal (0.4+/-1.1 d and 0.5+/-0.5 d for ST and STeCG, respectively; P< or =0.01). The ovulatory follicle in the LT group had a longer lifespan and attained a larger (P< or =0.05) maximum diameter than in the ST group. We conclude: a) that the lower pregnancy rate observed after long-term progestagen treatment was related to a slower follicular turnover that promoted the ovulation of persistent dominant follicles; (b) that short-term treatment resulted in a higher pregnancy rate probably due to the ovulation of newly recruited growing follicles; and (c) treatment with eCG had no advantage in association with long-term treatment and had a deleterious effect in combination with short-term treatment with MAP
653 $aEWES
653 $aFERTILITY
653 $aOVARIAN DYNAMICS
653 $aPREÑEZ EN OVEJA
653 $aPROGESTAGEN
653 $aULTRASONOGRAPHY
700 1 $aFORSBERG, M.
700 1 $aBANCHERO, G.
700 1 $aRUBIANES, E.
773 $tTheriogenology, 1 March 2001, Volume 55, Issue 4, Pages 993-1004
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
26/12/2018 |
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Actualizado : |
05/07/2019 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
GUTIERREZ, L.; BORGES, A.; QUERO, G.; GONZALEZ-REYMUNDEZ, A.; BERRO, I.; LADO, B.; CASTRO, A. |
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Afiliación : |
Departamento de Biometría, Estadística y Computación, Facultad de Agronomía, Universidad de la República, Garzón 780, CP 12900, Montevideo, Uruguay.; Departamento de Biometría, Estadística y Computación, Facultad de Agronomía, Universidad de la República, Garzón 780, CP 12900, Montevideo, Uruguay.; Departamento de Biología Vegetal, Facultad de Agronomía, Universidad de la República, Garzón 780, CP 12900, Montevideo, Uruguay.; Departamento de Biometría, Estadística y Computación, Facultad de Agronomía, Universidad de la República, Garzón 780, CP 12900, Montevideo, Uruguay.; Departamento de Biometría, Estadística y Computación, Facultad de Agronomía, Universidad de la República, Garzón 780, CP 12900, Montevideo, Uruguay.; BETTINA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./1 Departamento de Biometría, Estadística y Computación, Facultad de Agronomía, Universidad de la República, Garzón 780, CP 12900, Montevideo, Uruguay.; Departamento de Producción Vegetal, Facultad de Agronomía, Universidad de la República, R3 Km 373, Paysandú, Uruguay. |
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Título : |
Biostatistical tools for plant breeding in the genomics era. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
In: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018. |
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Páginas : |
p.46-57. |
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Serie : |
(INIA Serie Técnica; 241). |
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ISBN : |
978-9974-38-406-4 |
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ISSN : |
1688-9266 |
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DOI : |
http://doi.org/10.35676/INIA/ST.241 |
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Idioma : |
Inglés |
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Contenido : |
SUMMARY:
Since the advent of agriculture, plant breeding has successfully improved plantsfor human benefit. Modern plant breeding
activities consist in evaluating the genetic merit of lines discerning genetic from environment and noise components. To do
so, modern plant breeding relies on the genetics foundations derived from Mendel?s work and statistical tools (or biometry)
generated afterwards. Plant breeding activities could be grouped in three categories: traditional, marker assisted
(MAS), and genomic selection (GS). Traditional plant breeding uses either per sephenotypic information, or information from
relatives to evaluate the genetic value. MAS on the other hand, involves the identification of markers linked to genes or quantitative
traits loci (QTL) of relevant traits, and then selecting individuals based on their marker scores. Finally, GS involves the prediction
of the genetic merit of individuals based on their marker scores and a statistical model. All of the three strategies require the
evaluation of large number of individuals creating massive amounts of data that needs proper analyses. Our objective was to
present some biostatistical strategies that are successfully being used in plant breeding programs. First, we used novel simulation |
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Palabras claves : |
GENOMIC SELECTION; GENOTYPE BY ENVIRONMENT INTERACTION; GWAS; QTL MAPPING. |
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Thesagro : |
GENOTIPOS. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/12214/1/st-241-2018.p.46-57-Guitierrez-et-al.pdf
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Marc : |
LEADER 02312naa a2200313 a 4500
001 1059383
005 2019-07-05
008 2018 bl uuuu u00u1 u #d
020 $a978-9974-38-406-4
022 $a1688-9266
024 7 $ahttp://doi.org/10.35676/INIA/ST.241$2DOI
100 1 $aGUTIERREZ, L.
245 $aBiostatistical tools for plant breeding in the genomics era.$h[electronic resource]
260 $c2018
300 $ap.46-57.
490 $a(INIA Serie Técnica; 241).
520 $aSUMMARY: Since the advent of agriculture, plant breeding has successfully improved plantsfor human benefit. Modern plant breeding activities consist in evaluating the genetic merit of lines discerning genetic from environment and noise components. To do so, modern plant breeding relies on the genetics foundations derived from Mendel?s work and statistical tools (or biometry) generated afterwards. Plant breeding activities could be grouped in three categories: traditional, marker assisted (MAS), and genomic selection (GS). Traditional plant breeding uses either per sephenotypic information, or information from relatives to evaluate the genetic value. MAS on the other hand, involves the identification of markers linked to genes or quantitative traits loci (QTL) of relevant traits, and then selecting individuals based on their marker scores. Finally, GS involves the prediction of the genetic merit of individuals based on their marker scores and a statistical model. All of the three strategies require the evaluation of large number of individuals creating massive amounts of data that needs proper analyses. Our objective was to present some biostatistical strategies that are successfully being used in plant breeding programs. First, we used novel simulation
650 $aGENOTIPOS
653 $aGENOMIC SELECTION
653 $aGENOTYPE BY ENVIRONMENT INTERACTION
653 $aGWAS
653 $aQTL MAPPING
700 1 $aBORGES, A.
700 1 $aQUERO, G.
700 1 $aGONZALEZ-REYMUNDEZ, A.
700 1 $aBERRO, I.
700 1 $aLADO, B.
700 1 $aCASTRO, A.
773 $tIn: German, S.; Quincke, M.; Vázquez, D.; Castro, M.; Pereyra, S.; Silva, P.; García, A. (Eds.). Seminario Internacional "1914-2014: Un siglo de mejoramiento de trigo en La Estanzuela". Montevideo (UY): INIA, 2018.
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