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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
19/07/2022 |
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Actualizado : |
02/12/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
HYDE, K.A.; AGUIAR, F.L.N.; ALVES, B.G.; ALVES, K.A.; GASTAL, G.D.A.; GASTAL, M.O.; GASTAL, E.L. |
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Afiliación : |
KENDALL A HYDE, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, Illinois, USA.; FRANCISCO L N AGUIAR, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, Illinois, USA.; BENNER G ALVES, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, Illinois, USA.; KELE A ALVES, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, Illinois, USA.; GUSTAVO DESIRE ANTUNES GASTAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, Illinois, USA.; MELBA O GASTAL, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, Illinois, USA.; EDUARDO L GASTAL, Animal Science, School of Agricultural Sciences, Southern Illinois University, Carbondale, Illinois, USA. |
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Título : |
Preantral follicle population and distribution in the horse ovary. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Reproduction & Fertility, 2022, Volume 3, Issue 2, Page 90-102. OPEN ACCESS. doi: https://doi.org/10.1530/RAF-21-0100 |
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ISSN : |
2633-8386 |
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DOI : |
10.1530/RAF-21-0100 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received in final form 25 March 2022; Accepted 4 April 2022; Accepted Manuscript published online 4 April 2022. -- Corresponding author: Gastal, E.L.; School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; email:egastal@siu.edu -- |
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Contenido : |
Abstract:
Characterization of the ovarian preantral follicle population is a necessary step to improve understanding of folliculogenesis and ovarian physiology. Therefore, in the present study, the preantral follicle population in the equine ovary in young and old mares was investigated according to follicular morphology, follicular class, distance from the geometric center using ovarian maps, and follicular density within ovarian portions (lateral vs intermediary) and regions (dorsal vs ventral). Ovaries were collected from an abattoir and histologically processed for evaluation, and the follicle population was calculated. Overall, in the current detailed study, a higher preantral follicle population per mare ovary (mean: 82,206 ± 50,022; range: 1477 to 773,091) than originally reported was identified. Additionally, a mare age effect was observed in the follicle population (young: 152,664 vs old: 11,750) and the spatial distribution of morphologically normal and abnormal follicles and the density and population of follicular classes. These results demonstrate that, in addition to the preantral follicle population in the mare ovary being comparable to that of other species, the location and spatial distribution of these follicles is dynamic and varies depending on mare age and follicle status (i.e. morphology and developmental stage). The characterization of the distribution and population of preantral follicles in the mare ovary provided by this study can potentially aid in improving reproductive studies and assisted reproductive techniques and may expand the understanding of mechanisms involving ovarian plasticity and follicular migration. © 2022 The authors. MenosAbstract:
Characterization of the ovarian preantral follicle population is a necessary step to improve understanding of folliculogenesis and ovarian physiology. Therefore, in the present study, the preantral follicle population in the equine ovary in young and old mares was investigated according to follicular morphology, follicular class, distance from the geometric center using ovarian maps, and follicular density within ovarian portions (lateral vs intermediary) and regions (dorsal vs ventral). Ovaries were collected from an abattoir and histologically processed for evaluation, and the follicle population was calculated. Overall, in the current detailed study, a higher preantral follicle population per mare ovary (mean: 82,206 ± 50,022; range: 1477 to 773,091) than originally reported was identified. Additionally, a mare age effect was observed in the follicle population (young: 152,664 vs old: 11,750) and the spatial distribution of morphologically normal and abnormal follicles and the density and population of follicular classes. These results demonstrate that, in addition to the preantral follicle population in the mare ovary being comparable to that of other species, the location and spatial distribution of these follicles is dynamic and varies depending on mare age and follicle status (i.e. morphology and developmental stage). The characterization of the distribution and population of preantral follicles in the mare ovary provided by this study can potentially aid in... Presentar Todo |
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Palabras claves : |
Equine ovarian plasticity; Folliculogenesis; Preantral follicles; Spatial distribution and population??. |
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Thesagro : |
CABALLOS. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16663/1/RAF-21-0100.pdf
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Marc : |
LEADER 02854naa a2200289 a 4500
001 1063439
005 2022-12-02
008 2022 bl uuuu u00u1 u #d
022 $a2633-8386
024 7 $a10.1530/RAF-21-0100$2DOI
100 1 $aHYDE, K.A.
245 $aPreantral follicle population and distribution in the horse ovary.$h[electronic resource]
260 $c2022
500 $aArticle history: Received in final form 25 March 2022; Accepted 4 April 2022; Accepted Manuscript published online 4 April 2022. -- Corresponding author: Gastal, E.L.; School of Agricultural Sciences, Southern Illinois University, Carbondale, IL, United States; email:egastal@siu.edu --
520 $aAbstract: Characterization of the ovarian preantral follicle population is a necessary step to improve understanding of folliculogenesis and ovarian physiology. Therefore, in the present study, the preantral follicle population in the equine ovary in young and old mares was investigated according to follicular morphology, follicular class, distance from the geometric center using ovarian maps, and follicular density within ovarian portions (lateral vs intermediary) and regions (dorsal vs ventral). Ovaries were collected from an abattoir and histologically processed for evaluation, and the follicle population was calculated. Overall, in the current detailed study, a higher preantral follicle population per mare ovary (mean: 82,206 ± 50,022; range: 1477 to 773,091) than originally reported was identified. Additionally, a mare age effect was observed in the follicle population (young: 152,664 vs old: 11,750) and the spatial distribution of morphologically normal and abnormal follicles and the density and population of follicular classes. These results demonstrate that, in addition to the preantral follicle population in the mare ovary being comparable to that of other species, the location and spatial distribution of these follicles is dynamic and varies depending on mare age and follicle status (i.e. morphology and developmental stage). The characterization of the distribution and population of preantral follicles in the mare ovary provided by this study can potentially aid in improving reproductive studies and assisted reproductive techniques and may expand the understanding of mechanisms involving ovarian plasticity and follicular migration. © 2022 The authors.
650 $aCABALLOS
653 $aEquine ovarian plasticity
653 $aFolliculogenesis
653 $aPreantral follicles
653 $aSpatial distribution and population??
700 1 $aAGUIAR, F.L.N.
700 1 $aALVES, B.G.
700 1 $aALVES, K.A.
700 1 $aGASTAL, G.D.A.
700 1 $aGASTAL, M.O.
700 1 $aGASTAL, E.L.
773 $tReproduction & Fertility, 2022, Volume 3, Issue 2, Page 90-102. OPEN ACCESS. doi: https://doi.org/10.1530/RAF-21-0100
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Registro original : |
INIA La Estanzuela (LE) |
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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 : |
14/06/2022 |
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Actualizado : |
14/06/2022 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
GARCÍA, A.; AGUILAR, I.; LEGARRA, A.; MILLER, S.; TSURUTA, S.; MISZTAL, I.; LOURENCO, D. |
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Afiliación : |
ANDRÉ GARCÍA, University of Georgia; IGNACIO AGUILAR GARCIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS LEGARRA, UMR GenPhySE, INRA; STEPHEN P. MILLER, Angus Genetics Inc; SHOGO TSURUTA, University of Georgia; IGNACY MISZTAL, University of Georgia; DANIELA LOURENCO, University of Georgia. |
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Título : |
Accuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22]. |
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Complemento del título : |
Issue Section: Animal Breeding and Genetics. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Journal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012 |
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ISSN : |
1525-3163 |
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DOI : |
10.1093/jas/skaa278.012 |
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Idioma : |
Inglés |
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Notas : |
Article history: 30 November 2020.
ASAS Annual 2020 Meeting Abstracts. |
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Contenido : |
ABSTRACT - With an ever-increasing number of genotyped animals, there is a question of whether to include all genotypes into single-step GBLUP (ssGBLUP) evaluations or to include only genotyped animals with phenotypes and use indirect predictions (IP) for the remaining young genotyped animals. Under ssGBLUP, SNP effects can be backsolved from GEBV, and IP can be calculated as the sum of SNP effects weighted by the gene content. |
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Palabras claves : |
Interim evaluations; SNP PEC. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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Marc : |
LEADER 01308nam a2200241 a 4500
001 1063292
005 2022-06-14
008 2020 bl uuuu u01u1 u #d
022 $a1525-3163
024 7 $a10.1093/jas/skaa278.012$2DOI
100 1 $aGARCÍA, A.
245 $aAccuracy of indirect predictions for large datasets based on prediction error covariance of SNP effects from single-step GBLUP. [abstract 22].$h[electronic resource]
260 $aJournal of Animal Science, 2020, Volume 98, Issue Supplement 4, Pages 6-7. doi: https://doi.org/10.1093/jas/skaa278.012$c1093
500 $aArticle history: 30 November 2020. ASAS Annual 2020 Meeting Abstracts.
520 $aABSTRACT - With an ever-increasing number of genotyped animals, there is a question of whether to include all genotypes into single-step GBLUP (ssGBLUP) evaluations or to include only genotyped animals with phenotypes and use indirect predictions (IP) for the remaining young genotyped animals. Under ssGBLUP, SNP effects can be backsolved from GEBV, and IP can be calculated as the sum of SNP effects weighted by the gene content.
653 $aInterim evaluations
653 $aSNP PEC
700 1 $aAGUILAR, I.
700 1 $aLEGARRA, A.
700 1 $aMILLER, S.
700 1 $aTSURUTA, S.
700 1 $aMISZTAL, I.
700 1 $aLOURENCO, D.
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INIA Las Brujas (LB) |
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