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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
09/09/2019 |
Actualizado : |
14/10/2019 |
Tipo de producción científica : |
Abstracts/Resúmenes |
Autor : |
FERREIRA, G.; DE BARBIERI, I.; CASTELLS, D.; NAVAJAS, E.; GIORELLO, D.; COSTA, J.T.C.; BANCHERO, G.; CIAPPESONI, G. |
Afiliación : |
GRACIALDA FERREIRA DE FERREIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUIS IGNACIO DE BARBIERI ETCHEBERRY, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SUL (Secretariado Uruguayo de la Lana).; ELLY ANA NAVAJAS VALENTINI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DIEGO GERMAN GIORELLO LEITES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GEORGGET ELIZABETH BANCHERO HUNZIKER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Differences in growth between Corriedale sheep divergent lines for resistance to nematodes. |
Fecha de publicación : |
2019 |
Fuente / Imprenta : |
In: Annual Meeting of the European Federation of Animal Science, 70., Ghent, Belgium, 26-30 August, 2019. Book of abstracts No. 25. |
Páginas : |
p. 574 |
DOI : |
10.3920/978-90-8686-890-2 |
Idioma : |
Inglés |
Contenido : |
The association between genetic resistance of lambs to gastrointestinal parasites (GIP) with dry matter intake (DMI) average daily gain (ADG) and residual feed intake (RFI) was studied. Sixty-four Corriedale lambs (357±14 days old), from divergent lines for resistance to GIP (27 resistant-R and 37 susceptible-S) developed by the Uruguayan Wool Secretariat were used. The animals were allotted to one of five outdoor pens, they were stratified by sex, body weight, and sire. Each pen was equipped with five automated feeding systems and two automatic weighing platforms allowing individual records of feed intake and body weight. After 14 days of acclimatization to diet (ad libitum Lucerne silage: DM 36.5%, CP 21.7%, ME 2.51%) and feeding system, two tests were run over two periods of 44 (P1) and 42 days (P2), respectively. Firstly, the animals were maintained worm-free (P1) followed by an artificial
infestation of Haemonchus contortus (P2). The infestation occurred in three consecutive days with 2,000 L3 larvae per day. The second period was split into two subperiods from 0-23 and 24-42 days post infestation (P2a and P2b, respectively). Records for faecal egg count (FEC) were taken in days 9, 23, 27, 30, 42 post infestation. The DMI (kg/ day) was computed as the average of the individual daily intake, ADG (kg/day) was calculated by regression using
all weights for each period, RFI is the residuals resulting from the model DMI = ADG + metabolic weight (defined as mid-weight for each period ^0.75) + pen (1-5) + type of birth (1 or 2). There were no differences between lines in DMI, ADG, RFI for both periods. However, statically significative differences (P<0.05) were found in P2b for ADG and FEC (at day 23). The R line showed higher ADG than S line (0.132±0.017 vs 0.091±0.014 kg/day) and
lower parasite infestation (1,049 vs 2,479 back-transformed FEC mean). Probably, the high CP diet content and the age of the animals contribute to decreasing the differences in FEC between lines. These preliminary results suggest a difference in growth pattern between R&S lines during the infestation period without effects on DMI. MenosThe association between genetic resistance of lambs to gastrointestinal parasites (GIP) with dry matter intake (DMI) average daily gain (ADG) and residual feed intake (RFI) was studied. Sixty-four Corriedale lambs (357±14 days old), from divergent lines for resistance to GIP (27 resistant-R and 37 susceptible-S) developed by the Uruguayan Wool Secretariat were used. The animals were allotted to one of five outdoor pens, they were stratified by sex, body weight, and sire. Each pen was equipped with five automated feeding systems and two automatic weighing platforms allowing individual records of feed intake and body weight. After 14 days of acclimatization to diet (ad libitum Lucerne silage: DM 36.5%, CP 21.7%, ME 2.51%) and feeding system, two tests were run over two periods of 44 (P1) and 42 days (P2), respectively. Firstly, the animals were maintained worm-free (P1) followed by an artificial
infestation of Haemonchus contortus (P2). The infestation occurred in three consecutive days with 2,000 L3 larvae per day. The second period was split into two subperiods from 0-23 and 24-42 days post infestation (P2a and P2b, respectively). Records for faecal egg count (FEC) were taken in days 9, 23, 27, 30, 42 post infestation. The DMI (kg/ day) was computed as the average of the individual daily intake, ADG (kg/day) was calculated by regression using
all weights for each period, RFI is the residuals resulting from the model DMI = ADG + metabolic weight (defined as mid-weight for eac... Presentar Todo |
Palabras claves : |
SHEEP. |
Asunto categoría : |
A50 Investigación agraria |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/13243/1/De-Barbieri-2019.pdf
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Marc : |
LEADER 02899nam a2200229 a 4500 001 1060142 005 2019-10-14 008 2019 bl uuuu u01u1 u #d 024 7 $a10.3920/978-90-8686-890-2$2DOI 100 1 $aFERREIRA, G. 245 $aDifferences in growth between Corriedale sheep divergent lines for resistance to nematodes.$h[electronic resource] 260 $aIn: Annual Meeting of the European Federation of Animal Science, 70., Ghent, Belgium, 26-30 August, 2019. Book of abstracts No. 25.$c2019 300 $ap. 574 520 $aThe association between genetic resistance of lambs to gastrointestinal parasites (GIP) with dry matter intake (DMI) average daily gain (ADG) and residual feed intake (RFI) was studied. Sixty-four Corriedale lambs (357±14 days old), from divergent lines for resistance to GIP (27 resistant-R and 37 susceptible-S) developed by the Uruguayan Wool Secretariat were used. The animals were allotted to one of five outdoor pens, they were stratified by sex, body weight, and sire. Each pen was equipped with five automated feeding systems and two automatic weighing platforms allowing individual records of feed intake and body weight. After 14 days of acclimatization to diet (ad libitum Lucerne silage: DM 36.5%, CP 21.7%, ME 2.51%) and feeding system, two tests were run over two periods of 44 (P1) and 42 days (P2), respectively. Firstly, the animals were maintained worm-free (P1) followed by an artificial infestation of Haemonchus contortus (P2). The infestation occurred in three consecutive days with 2,000 L3 larvae per day. The second period was split into two subperiods from 0-23 and 24-42 days post infestation (P2a and P2b, respectively). Records for faecal egg count (FEC) were taken in days 9, 23, 27, 30, 42 post infestation. The DMI (kg/ day) was computed as the average of the individual daily intake, ADG (kg/day) was calculated by regression using all weights for each period, RFI is the residuals resulting from the model DMI = ADG + metabolic weight (defined as mid-weight for each period ^0.75) + pen (1-5) + type of birth (1 or 2). There were no differences between lines in DMI, ADG, RFI for both periods. However, statically significative differences (P<0.05) were found in P2b for ADG and FEC (at day 23). The R line showed higher ADG than S line (0.132±0.017 vs 0.091±0.014 kg/day) and lower parasite infestation (1,049 vs 2,479 back-transformed FEC mean). Probably, the high CP diet content and the age of the animals contribute to decreasing the differences in FEC between lines. These preliminary results suggest a difference in growth pattern between R&S lines during the infestation period without effects on DMI. 653 $aSHEEP 700 1 $aDE BARBIERI, I. 700 1 $aCASTELLS, D. 700 1 $aNAVAJAS, E. 700 1 $aGIORELLO, D. 700 1 $aCOSTA, J.T.C. 700 1 $aBANCHERO, G. 700 1 $aCIAPPESONI, G.
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INIA Tacuarembó (TBO) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
04/11/2022 |
Actualizado : |
04/11/2022 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); GRAS |
Afiliación : |
UNIDAD DE AGROCLIMA Y SISTEMAS DE INFORMACIÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Informe agroclimático 2022- Situación a Octubre. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Montevideo (UY): INIA, 2022. |
Páginas : |
6 p. |
Serie : |
(Informe Agroclimático; Año 17, No.10) |
Idioma : |
Español |
Notas : |
Equipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. |
Contenido : |
Contenido. Síntesis de la Situación Agroclimática de Octubre-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Agua No Retenida (ANR) -- Índice de Bienestar Hídrico (IBH) -- Perspectivas Climáticas Nov-Dic-Ene elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Pronóstico de DON en trigo. Mapas nacionales mostrando la estimación de cantidad de DON en trigo a cosecha. Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Pron%C3%B3stico-DON-para-trigo- |
Palabras claves : |
AGTECH; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; GRAFICAS AGROCLIMATICAS; GRAS; INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2022; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SISTEMAS DE INFORMACION GEOGRAFICOS; TEMPERATURA; TERMOMETROS. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.inia.uy/Publicaciones/Documentos%20compartidos/Informe%20agroclimatico%20INIA-GRAS%20Octubre%20de%202022.pdf
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Marc : |
LEADER 02960nam a2200757 a 4500 001 1063702 005 2022-11-04 008 2022 bl uuuu u0uu1 u #d 100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA) 245 $aInforme agroclimático 2022- Situación a Octubre.$h[electronic resource] 260 $aMontevideo (UY): INIA$c2022 300 $a6 p. 490 $a(Informe Agroclimático; Año 17, No.10) 500 $aEquipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. 520 $aContenido. Síntesis de la Situación Agroclimática de Octubre-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Agua No Retenida (ANR) -- Índice de Bienestar Hídrico (IBH) -- Perspectivas Climáticas Nov-Dic-Ene elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Pronóstico de DON en trigo. Mapas nacionales mostrando la estimación de cantidad de DON en trigo a cosecha. Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Pron%C3%B3stico-DON-para-trigo- 650 $aAGROCLIMATOLOGIA 650 $aCAMBIO CLIMATICO 650 $aCLIMA 650 $aCLIMATOLOGIA 650 $aESTACIONES METEOROLOGICAS 650 $aESTRES HIDRICO 650 $aEVAPOTRANSPIRACION 650 $aHUMEDAD 650 $aHUMEDAD RELATIVA 650 $aLLUVIA 650 $aMETEOROLOGIA 650 $aPERSPECTIVAS 650 $aPLUVIOMETROS 650 $aPRONOSTICO DEL TIEMPO 650 $aSENSORES 650 $aSISTEMAS 650 $aSISTEMAS DE INFORMACION 650 $aSISTEMAS DE INFORMACION GEOGRAFICOS 650 $aTEMPERATURA 650 $aTERMOMETROS 653 $aAGTECH 653 $aBOLETIN AGROCLIMÁTICO 653 $aCARACTERIZACIÓN AGROCLIMÁTICA 653 $aDIRECCION VIENTO 653 $aESTACIONES AGROMETEOROLOGICAS 653 $aESTACIONES AUTOMATICAS 653 $aESTACIONES INIA 653 $aESTADO DEL TIEMPO 653 $aGRAFICAS AGROCLIMATICAS 653 $aGRAS 653 $aINFORMACION SATELITAL 653 $aINFORME AGROCLIMÁTICO 2022 653 $aINUNDACIONES 653 $aLLUVIAS DIARIAS 653 $aMAXIMA 653 $aMEDIA 653 $aMINIMA 653 $aPANEL SOLAR 653 $aPERSPECTIVAS CLIMATICAS 653 $aPLUVIOMETRO 653 $aPRECIPITACION NACIONAL 653 $aPREVENCION HELADAS 653 $aPRONOSTICO 653 $aSENSOR 653 $aSISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA 653 $aTANQUE A 653 $aTERMOCUPLAS 653 $aTERMOHIDROGRAFO 653 $aVARIABLES AGROCLIMATICAS 653 $aVELETA 700 1 $aGRAS
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