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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
23/01/2023 |
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Actualizado : |
07/03/2023 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CARRACELAS, G.; GUILPART, N.; CASSMAN, K.G.; GRASSINI, P. |
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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. |
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Título : |
Distinguishing between yield plateaus and yield ceilings: A case study of rice in Uruguay. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Field Crops Research, 2023, volume 292, number 108808. OPEN ACCESS. Doi: https://doi.org/10.1016/j.fcr.2023.108808 |
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Páginas : |
8 p. |
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DOI : |
10.1016/j.fcr.2023.108808 |
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Idioma : |
Inglés |
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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). |
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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. |
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Palabras claves : |
ORYSA SATIVA; RICE; YIELD GAP; YIELD PLATEAU; YIELD POTENTIAL. |
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Asunto categoría : |
F01 Cultivo |
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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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INIA Treinta y Tres (TT) |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
17/09/2019 |
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Actualizado : |
17/09/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
MACÍAS-RIOSECO, M.; RIET-CORREA, F.; MILLER, M.M.; SONDGEROTH, K.; FRAGA, M.; SILVEIRA, C.S.; UZAL, F.A.; GIANNITTI, F. |
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Afiliación : |
MELISSA MACÍAS RIOSECO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MYRNA M. MILLER, Wyoming State Veterinary Diagnostic Laboratory, University of Wyoming, Laramie, WY; KERRY SONDGEROTH, Wyoming State Veterinary Diagnostic Laboratory, University of Wyoming, Laramie, WY.; MARTIN FRAGA COTELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAROLINE DA SILVA SILVEIRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FRANCISCO A. UZAL, California Animal Health and Food Safety Laboratory, University of California at Davis, San Bernardino, CA .; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Department of Veterinary Population Medicine, University of Minnesota, Saint Paul, MN. |
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Título : |
Bovine abortion caused by Coxiella burnetii : report of a cluster of cases in Uruguay and review of the literature. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Journal of Veterinary Diagnostic Investigation; Jul 2019, v. 31, n. 4, p.634-639. |
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DOI : |
10.1177/1040638719856394 |
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Idioma : |
Inglés |
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Notas : |
Article history: Article first published online: June 10, 2019//Issue published: July 1, 2019. |
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Contenido : |
Abstract:
A cluster of 4 bovine abortions caused by Coxiella burnetii occurred in a dairy herd in Uruguay during a 2-mo period. Case 1 consisted of a placenta from an aborted cow; cases 2?4 were fetuses and their placentas. Grossly, the placenta from one aborted cow had moderate, diffuse reddening of the cotyledons and loss of translucency of the intercotyledonary areas. No gross lesions were observed in the other 3 placentas. Microscopically, 2 of 4 placentas had fibrinonecrotizing placentitis with abundant intratrophoblastic gram-negative coccobacilli. C. burnetii was identified intralesionally by immunohistochemistry (IHC) in all 4 placentas, and by PCR and DNA sequencing in 3 placentas analyzed by these techniques. One fetus had mild neutrophilic alveolitis with multinucleate syncytial cells; no gross or microscopic lesions were observed in the other 2 fetuses examined. The lungs of the 3 fetuses were negative for C. burnetii by IHC. Tests performed to investigate other possible causes of abortions in the 4 cases were negative. C. burnetii causes Q fever in humans and coxiellosis in animals. Clusters of abortions in cattle by C. burnetii have not been reported previously, to our knowledge; this bacterium has been considered an opportunistic pathogen associated only with sporadic abortion in cattle. We present herein a cluster of 4 bovine abortions caused by C. burnetii in a dairy farm during a period of 2?mo and a review of the literature on C. burnetii infection in cattle. MenosAbstract:
A cluster of 4 bovine abortions caused by Coxiella burnetii occurred in a dairy herd in Uruguay during a 2-mo period. Case 1 consisted of a placenta from an aborted cow; cases 2?4 were fetuses and their placentas. Grossly, the placenta from one aborted cow had moderate, diffuse reddening of the cotyledons and loss of translucency of the intercotyledonary areas. No gross lesions were observed in the other 3 placentas. Microscopically, 2 of 4 placentas had fibrinonecrotizing placentitis with abundant intratrophoblastic gram-negative coccobacilli. C. burnetii was identified intralesionally by immunohistochemistry (IHC) in all 4 placentas, and by PCR and DNA sequencing in 3 placentas analyzed by these techniques. One fetus had mild neutrophilic alveolitis with multinucleate syncytial cells; no gross or microscopic lesions were observed in the other 2 fetuses examined. The lungs of the 3 fetuses were negative for C. burnetii by IHC. Tests performed to investigate other possible causes of abortions in the 4 cases were negative. C. burnetii causes Q fever in humans and coxiellosis in animals. Clusters of abortions in cattle by C. burnetii have not been reported previously, to our knowledge; this bacterium has been considered an opportunistic pathogen associated only with sporadic abortion in cattle. We present herein a cluster of 4 bovine abortions caused by C. burnetii in a dairy farm during a period of 2?mo and a review of the literature on C. burnetii infection in catt... Presentar Todo |
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Palabras claves : |
ABORTO BOVINO; BOVINE ABORTION; COXIELLA BURNETII; COXIELLOSIS; PLATAFORMA SALUD ANIMAL; Q FEVER; ZOONOSIS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02526naa a2200313 a 4500
001 1060177
005 2019-09-17
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1177/1040638719856394$2DOI
100 1 $aMACÍAS-RIOSECO, M.
245 $aBovine abortion caused by Coxiella burnetii$breport of a cluster of cases in Uruguay and review of the literature.$h[electronic resource]
260 $c2019
500 $aArticle history: Article first published online: June 10, 2019//Issue published: July 1, 2019.
520 $aAbstract: A cluster of 4 bovine abortions caused by Coxiella burnetii occurred in a dairy herd in Uruguay during a 2-mo period. Case 1 consisted of a placenta from an aborted cow; cases 2?4 were fetuses and their placentas. Grossly, the placenta from one aborted cow had moderate, diffuse reddening of the cotyledons and loss of translucency of the intercotyledonary areas. No gross lesions were observed in the other 3 placentas. Microscopically, 2 of 4 placentas had fibrinonecrotizing placentitis with abundant intratrophoblastic gram-negative coccobacilli. C. burnetii was identified intralesionally by immunohistochemistry (IHC) in all 4 placentas, and by PCR and DNA sequencing in 3 placentas analyzed by these techniques. One fetus had mild neutrophilic alveolitis with multinucleate syncytial cells; no gross or microscopic lesions were observed in the other 2 fetuses examined. The lungs of the 3 fetuses were negative for C. burnetii by IHC. Tests performed to investigate other possible causes of abortions in the 4 cases were negative. C. burnetii causes Q fever in humans and coxiellosis in animals. Clusters of abortions in cattle by C. burnetii have not been reported previously, to our knowledge; this bacterium has been considered an opportunistic pathogen associated only with sporadic abortion in cattle. We present herein a cluster of 4 bovine abortions caused by C. burnetii in a dairy farm during a period of 2?mo and a review of the literature on C. burnetii infection in cattle.
653 $aABORTO BOVINO
653 $aBOVINE ABORTION
653 $aCOXIELLA BURNETII
653 $aCOXIELLOSIS
653 $aPLATAFORMA SALUD ANIMAL
653 $aQ FEVER
653 $aZOONOSIS
700 1 $aRIET-CORREA, F.
700 1 $aMILLER, M.M.
700 1 $aSONDGEROTH, K.
700 1 $aFRAGA, M.
700 1 $aSILVEIRA, C.S.
700 1 $aUZAL, F.A.
700 1 $aGIANNITTI, F.
773 $tJournal of Veterinary Diagnostic Investigation; Jul 2019$gv. 31, n. 4, p.634-639.
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