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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
21/02/2014 |
Actualizado : |
08/10/2019 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
CAVESTANY, D.; GALINA, C.S. |
Afiliación : |
DANIEL CAVESTANY BOCKING, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS SALVADOR GALINA, Facultad de Medicina Veterinaria y Zootecnia. Universidad Nacional Autonoma de Mexico. |
Título : |
Factors affecting the reproductive efficiency of artificial insemination programmes in a seasonal breeding pasture-based dairy system with the aid of milk progesterone. |
Fecha de publicación : |
2001 |
Fuente / Imprenta : |
Reproduction in Domestic Animals, 2001, Volume 36, Issue 2, Pages 85-89. |
DOI : |
10.1046/j.1439-0531.2001.00254.x |
Idioma : |
Inglés |
Notas : |
Article history: |
Contenido : |
Abstract.
To determine the factors affecting reproductive efficiency in a seasonal breeding artificial insemination (AI) programme in dairy herds in Uruguay, a field trial was conducted on three dairy farms. Lactating cows (n=328) intended to be bred at the following breeding period were selected. The trial started 1 week before the beginning of the breeding period and lasted 80 days or until first service. Milk samples were obtained biweekly for 12 weeks, starting 1 week prior to the breeding season to determine progesterone concentrations. Data indicated that 12.5% of the cows were anoestrus at the beginning of the season remaining in this condition throughout the trial. Most of the anoestrous animals were first-calf heifers. A varying number of cycling cows (8.5%) at each farm were never reported in heat. Oestrous detection rate for cows cycling, as determined by progesterone patterns, was evaluated in three periods of 21 days and resulted in an overall efficiency of 46.9%. Main factors affecting oestrous detection were farm, with an effect of parity (67.8%, mature cows and 33.2%, first-calf heifers) and no effect of days postpartum. Mean interval from the beginning of the breeding season to first breeding was 27.4 days, which was also affected by farm. Neither parity nor days postpartum affected this parameter. |
Thesagro : |
EFICIENCIA REPRODUCTIVA; PROGESTERONA. |
Asunto categoría : |
L53 Fisiología Animal - Reproducción |
Marc : |
LEADER 02008naa a2200181 a 4500 001 1049434 005 2019-10-08 008 2001 bl uuuu u00u1 u #d 024 7 $a10.1046/j.1439-0531.2001.00254.x$2DOI 100 1 $aCAVESTANY, D. 245 $aFactors affecting the reproductive efficiency of artificial insemination programmes in a seasonal breeding pasture-based dairy system with the aid of milk progesterone.$h[electronic resource] 260 $c2001 500 $aArticle history: 520 $aAbstract. To determine the factors affecting reproductive efficiency in a seasonal breeding artificial insemination (AI) programme in dairy herds in Uruguay, a field trial was conducted on three dairy farms. Lactating cows (n=328) intended to be bred at the following breeding period were selected. The trial started 1 week before the beginning of the breeding period and lasted 80 days or until first service. Milk samples were obtained biweekly for 12 weeks, starting 1 week prior to the breeding season to determine progesterone concentrations. Data indicated that 12.5% of the cows were anoestrus at the beginning of the season remaining in this condition throughout the trial. Most of the anoestrous animals were first-calf heifers. A varying number of cycling cows (8.5%) at each farm were never reported in heat. Oestrous detection rate for cows cycling, as determined by progesterone patterns, was evaluated in three periods of 21 days and resulted in an overall efficiency of 46.9%. Main factors affecting oestrous detection were farm, with an effect of parity (67.8%, mature cows and 33.2%, first-calf heifers) and no effect of days postpartum. Mean interval from the beginning of the breeding season to first breeding was 27.4 days, which was also affected by farm. Neither parity nor days postpartum affected this parameter. 650 $aEFICIENCIA REPRODUCTIVA 650 $aPROGESTERONA 700 1 $aGALINA, C.S. 773 $tReproduction in Domestic Animals, 2001, Volume 36, Issue 2, Pages 85-89.
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
02/09/2019 |
Actualizado : |
02/09/2019 |
Tipo de producción científica : |
Presentaciones Orales |
Autor : |
MIGUES, I.; CESIO, V.; GÁMBARO, A.; MOYNA, G.; RODRÍGUEZ, C.; LADO, J.; RIVAS, F.; HEINZEN, H. |
Afiliación : |
IGNACIO MIGUES, Facultad de Química. Universidad de la República (UdelaR), Montevideo, Uruguay.; VERÓNICA CESIO, Facultad de Química. Universidad de la República (UdelaR), Montevideo, Uruguay.; ADRIANA GÁMBARO, Facultad de Química. Universidad de la República (UdelaR), Montevideo, Uruguay; GUILLERMO MOYNA, Polo Agroalimentario de Paysandú. Universidad de la República (UdelaR), Paysandú, Uruguay.; CECILIA RODRÍGUEZ, Facultad de Química. Universidad de la República (UdelaR), Montevideo, Uruguay.; JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS FERNANDO RIVAS GRELA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; HORACIO HEINZEN, Facultad de Química. Universidad de la República (UdelaR), Montevideo, Uruguay. |
Título : |
NMR metabolomics as a prediction tool for consumers acceptance of mandarins. (SI-O-7) [oral presentation]. |
Complemento del título : |
Session I: Breeding, Genomics and Genetics. |
Fecha de publicación : |
2018 |
Fuente / Imprenta : |
In: RIivas, F. (Ed.). IV International Symposium on Citrus Biotechnology. Book of Abstracts. Montevideo (UY): INIA. |
Páginas : |
p. 17. |
Serie : |
(INIA Serie Técnica; 244). |
ISBN : |
978-9974-38-396-8 |
ISSN : |
1688-9266 |
DOI : |
http://doi.org/10.35676/INIA/ST.244 |
Idioma : |
Inglés |
Contenido : |
These results could be applied in breeding programs to select new cultivars based in chemical data that correlates with consumers? acceptance without bias or subjective opinions, speeding up the development of new Citrus varieties. |
Palabras claves : |
MANDARIN. |
Thesagro : |
CITRUS. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13213/1/Lado-Rivas-st-244-Citrus-Symposium-2018-SI-0-7.pdf
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Marc : |
LEADER 01081nam a2200277 a 4500 001 1060109 005 2019-09-02 008 2018 bl uuuu u00u1 u #d 020 $a978-9974-38-396-8 022 $a1688-9266 024 7 $ahttp://doi.org/10.35676/INIA/ST.244$2DOI 100 1 $aMIGUES, I. 245 $aNMR metabolomics as a prediction tool for consumers acceptance of mandarins. (SI-O-7) [oral presentation]. 260 $aIn: RIivas, F. (Ed.). IV International Symposium on Citrus Biotechnology. Book of Abstracts. Montevideo (UY): INIA.$c2018 300 $ap. 17. 490 $a(INIA Serie Técnica; 244). 520 $aThese results could be applied in breeding programs to select new cultivars based in chemical data that correlates with consumers? acceptance without bias or subjective opinions, speeding up the development of new Citrus varieties. 650 $aCITRUS 653 $aMANDARIN 700 1 $aCESIO, V. 700 1 $aGÁMBARO, A. 700 1 $aMOYNA, G. 700 1 $aRODRÍGUEZ, C. 700 1 $aLADO, J. 700 1 $aRIVAS, F. 700 1 $aHEINZEN, H.
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