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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha : |
21/02/2014 |
Actualizado : |
13/04/2018 |
Tipo de producción científica : |
Documentos |
Autor : |
RISSO, D.; PITTALUGA, O.; BERRETTA, E.J. |
Afiliación : |
DIEGO FERNANDO RISSO RIET, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR ALBERTO PITTALUGA GONZALEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ELBIO JOAQUIN BERRETTA CARVALLO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Módulo de engorde: producción de novillos jóvenes sobre campo natural y pasturas mejoradas. |
Fecha de publicación : |
2000 |
Fuente / Imprenta : |
ln: INIA TACUAREMBÓ. UNIDAD EXPERIMENTAL GLENCOE. JORNADA, OCTUBRE 2000, TACUAREMBÓ. Producción animal y pasturas en basalto. Tacuarembó (Uruguay): INIA, 2000. |
Páginas : |
p. 33-34 |
Serie : |
(INIA Serie Actividades de Difusió ; 239) |
Idioma : |
Español |
Contenido : |
De acuerdo a lo presentado en otras oportunidades, se dispone de tecnología forrajera y de manejo animal, que permite acelerar la recría del destete y promover un buen engorde del sobreaño. Se ha integrando esa tecnología, junto a la suplementación estratégica, para su validación a nivel del sistema de producción. En ciclos pasados, el módulo ha comprendido un 52% de campo mejorado (cobertura de trébol blanco Zapicán y Lotus San Gabriel, refertilizada anualmente) y 48% campo natural, con un manejo controlado del pastoreo sobre 5 divisiones totales. Ha incluido tipos raciales diferentes, (Hereford y cruzas con Cebú) en dotación promedio anual de 1.2 UG/Ha, con terneros y novillos en igual número. |
Palabras claves : |
NOVILLO. |
Thesagro : |
ALIMENTACION DE LOS ANIMALES; ENGORDE; GANADO BOVINO. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/9135/1/SAD-239p33-34.pdf
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Marc : |
LEADER 01463naa a2200217 a 4500 001 1024920 005 2018-04-13 008 2000 bl uuuu u00u1 u #d 100 1 $aRISSO, D. 245 $aMódulo de engorde$bproducción de novillos jóvenes sobre campo natural y pasturas mejoradas. 260 $c2000 300 $ap. 33-34 490 $a(INIA Serie Actividades de Difusió ; 239) 520 $aDe acuerdo a lo presentado en otras oportunidades, se dispone de tecnología forrajera y de manejo animal, que permite acelerar la recría del destete y promover un buen engorde del sobreaño. Se ha integrando esa tecnología, junto a la suplementación estratégica, para su validación a nivel del sistema de producción. En ciclos pasados, el módulo ha comprendido un 52% de campo mejorado (cobertura de trébol blanco Zapicán y Lotus San Gabriel, refertilizada anualmente) y 48% campo natural, con un manejo controlado del pastoreo sobre 5 divisiones totales. Ha incluido tipos raciales diferentes, (Hereford y cruzas con Cebú) en dotación promedio anual de 1.2 UG/Ha, con terneros y novillos en igual número. 650 $aALIMENTACION DE LOS ANIMALES 650 $aENGORDE 650 $aGANADO BOVINO 653 $aNOVILLO 700 1 $aPITTALUGA, O. 700 1 $aBERRETTA, E.J. 773 $tln: INIA TACUAREMBÓ. UNIDAD EXPERIMENTAL GLENCOE. JORNADA, OCTUBRE 2000, TACUAREMBÓ. Producción animal y pasturas en basalto. Tacuarembó (Uruguay): INIA, 2000.
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Registro original : |
INIA Tacuarembó (TBO) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
23/01/2023 |
Actualizado : |
07/03/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
CARRACELAS, G.; GUILPART, N.; CASSMAN, K.G.; GRASSINI, P. |
Afiliación : |
JULIO GONZALO CARRACELAS GARRIDO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; NICOLÁS GUILPART, University of Nebraska-Lincoln, USA; Université Paris-Saclay, AgroParisTech, INRAE, UMR Agronomie, France.; KENNETH G. CASSMAN, University of Nebraska-Lincoln, USA; PATRICIO GRASSINI, University of Nebraska-Lincoln, USA. |
Título : |
Distinguishing between yield plateaus and yield ceilings: A case study of rice in Uruguay. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Field Crops Research, 2023, volume 292, number 108808. OPEN ACCESS. Doi: https://doi.org/10.1016/j.fcr.2023.108808 |
Páginas : |
8 p. |
DOI : |
10.1016/j.fcr.2023.108808 |
Idioma : |
Inglés |
Notas : |
Article history: Received 3 September 2022; Received in revised form 22 December 2022; Accepted 2 January 2023; Available online 13 January 2023.
Corresponding author. E-mail address: gcarracelas@inia.org.uy (G. Carracelas). |
Contenido : |
Rice yields in Uruguay have increased rapidly (159 kg-1 ha-1 y-1) between 1990 and 2013. There is evidence, however, of an incipient yield plateau in recent years. The aim of this study was to determine if the recent slowdown in yield gains is because average yield (Ya) has approached the yield potential (Yp) ceiling, which makes it increasingly difficult for farmers to sustain further yield gains. We followed the methodology developed by the Global Yield Gap Atlas to estimate Yp and associated yield gaps for irrigated rice supported by data from high-yield experiments to calibrate the rice simulation model Oryza (v3). Subsequently, the model was used to simulate Yp using long-term daily weather data from seven locations, representing 90 % of total rice area in Uruguay. The exploitable yield gap (Yeg) was calculated as the difference between 80 % of Yp and Ya. Estimated national average Yp was 13.9 Mg ha?1, with relatively small variation across sites, from 13.1 to 15.1 Mg ha-1. Average Ya was 8.3 Mg ha-1, ranging from 7.9 to 8.5 Mg ha-1 across sites, and representing 60 % of Yp. Our analysis suggests there is still room to further increase rice yields in Uruguay, because the Yeg is 2.8 Mg ha-1, which means the current yield plateau is not due to Ya approaching Yp, as has occurred in other high-yield irrigated rice systems in China and California, USA. The approach followed here can help determine whether yield plateaus are occurring due to a small Yeg or other factors. |
Palabras claves : |
ORYSA SATIVA; RICE; YIELD GAP; YIELD PLATEAU; YIELD POTENTIAL. |
Asunto categoría : |
F01 Cultivo |
URL : |
https://www.sciencedirect.com/sdfe/reader/pii/S0378429023000011/pdf
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Marc : |
LEADER 02481naa a2200253 a 4500 001 1063945 005 2023-03-07 008 2023 bl uuuu u00u1 u #d 024 7 $a10.1016/j.fcr.2023.108808$2DOI 100 1 $aCARRACELAS, G. 245 $aDistinguishing between yield plateaus and yield ceilings$bA case study of rice in Uruguay.$h[electronic resource] 260 $c2023 300 $a8 p. 500 $aArticle history: Received 3 September 2022; Received in revised form 22 December 2022; Accepted 2 January 2023; Available online 13 January 2023. Corresponding author. E-mail address: gcarracelas@inia.org.uy (G. Carracelas). 520 $aRice yields in Uruguay have increased rapidly (159 kg-1 ha-1 y-1) between 1990 and 2013. There is evidence, however, of an incipient yield plateau in recent years. The aim of this study was to determine if the recent slowdown in yield gains is because average yield (Ya) has approached the yield potential (Yp) ceiling, which makes it increasingly difficult for farmers to sustain further yield gains. We followed the methodology developed by the Global Yield Gap Atlas to estimate Yp and associated yield gaps for irrigated rice supported by data from high-yield experiments to calibrate the rice simulation model Oryza (v3). Subsequently, the model was used to simulate Yp using long-term daily weather data from seven locations, representing 90 % of total rice area in Uruguay. The exploitable yield gap (Yeg) was calculated as the difference between 80 % of Yp and Ya. Estimated national average Yp was 13.9 Mg ha?1, with relatively small variation across sites, from 13.1 to 15.1 Mg ha-1. Average Ya was 8.3 Mg ha-1, ranging from 7.9 to 8.5 Mg ha-1 across sites, and representing 60 % of Yp. Our analysis suggests there is still room to further increase rice yields in Uruguay, because the Yeg is 2.8 Mg ha-1, which means the current yield plateau is not due to Ya approaching Yp, as has occurred in other high-yield irrigated rice systems in China and California, USA. The approach followed here can help determine whether yield plateaus are occurring due to a small Yeg or other factors. 653 $aORYSA SATIVA 653 $aRICE 653 $aYIELD GAP 653 $aYIELD PLATEAU 653 $aYIELD POTENTIAL 700 1 $aGUILPART, N. 700 1 $aCASSMAN, K.G. 700 1 $aGRASSINI, P. 773 $tField Crops Research, 2023, volume 292, number 108808. OPEN ACCESS. Doi: https://doi.org/10.1016/j.fcr.2023.108808
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