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| Registros recuperados : 56 | |
| 41. |  | FERNANDEZ, E.; CLARIGET, J.M.; ZARZA, R.; LATTANZI, F.; BANCHERO, G.; LA MANNA, A.; CANOZZI, M.E.A. Sistemas ganaderos intensivos de la región suroeste y centro sur del país: ¿cuáles son las prácticas tecnológicas y decisiones de manejo predominantes en las empresas?. Primera parte: Caracterización de los sistemas, especies y manejo del pastoreo. Socio-Economía. Revista INIA Uruguay, 2020, no.63, p.34-38. (Revista INIA; 63).| Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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| 42. | | CANOZZI, M.E.A. Ayuno pre-faena: pérdidas productivas y económica. In: INIA (Instituto Nacional de Investigación Agropecuaria); INIA La Estanzuela; Programa Nacional Carne y Lana. Día de Campo de Ganadería Intensiva. La Estanzuela, Colonia, UY: INIA, Agosto 2019. p. 23-24. (Serie Actividades de Difusión; 791).| Biblioteca(s): INIA La Estanzuela. |
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| 44. | | CANOZZI, M.E.A.; MEDEROS, A.; TURNER, S.; MANTECA, X.; MCMANNUS, C.; MENEGASSI, S.R.; BARCELLOS, J.O. Dehorning and welfare indicators in beef cattle: A meta-analysis. Review. Animal Production Science, 2019, Volume 59, Issue 5, p. 801-814. doi: https://doi.org/10.1071/AN17752 History Article: Received 27 January 2017 // accepted 11 April 2018 // published online 30 May 2018. -- Corresponding author: Barcellos, J.O.J.; Centre for Research on Production Systems and Beef Cattle Supply Chain (NESPro/UFRGS),...| Biblioteca(s): INIA Tacuarembó. |
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| 45. | | FERNANDES, A.M; TEIXEIRA, O DE S.; RIOS, H.V.; CANOZZI, M.E.A.; SCHULTZ, G.; BARCELLOS, J.O.J. Insights of innovation and competitiveness in meat supply chains. International Food and Agribusiness Management Review, volume 22, Issue 3, 2019 .OPEN ACCESS.
Doi:https://doi.org/ 10.22434/IFAMR2018.0031 Article history: Received: 24 February 2018 / Accepted: 30 November 2018/Published Online: March 04, 2019.| Biblioteca(s): INIA La Estanzuela. |
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| 48. | | CANOZZI, M.E.A.; MARQUES, P.M.; TEIXEIRA, O. DE S.; PIMENTEL, C.M.M.; DILL, M.D.; BARCELLOS, J.O.J. Typology of beef production systems according to bioeconomic efficiency in the south of Brazil. [Tipologia de sistemas de produção de carne bovina de acordo com a eficiência bioeconômica no sul do Brasil]¨. Ciencia Rural, Santa Marìa, september 2019, vol.49, no.10,e20190030. OPEN ACCESS. Doi: 10.1590/0103-8478cr20190030 Article history: Received 01.14.19 / Approved 07.26.19/ Returned by the author 08.21.19.| Biblioteca(s): INIA La Estanzuela. |
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| 49. | | LOPES, R.B.; CANOZZI, M.E.A.; CANELLAS, L.C; GONZALEZ, F.A.L.; CORRÊA, R.F.; PEREIRA, P.R.R.X; BARCELLOS, J.O.J. Bioeconomic simulation of compensatory growth in beef cattle production systems. Livestock Science, October 2018, v.216,p.165-173. Article history: Received 20 December 2017//Revised 23 August 2018// Accepted 23 August 2018 // Available online 24 August 2018.| Biblioteca(s): INIA La Estanzuela. |
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| 52. | | QUEIROZ,R.G.; DOMINGUES, C.H.F.; CANOZZI, M.E.A.; GARCIA, R.G.; RUVIARO, C.F.; BARCELLOS, J.O.J.; BORGES, J.A.R. How do Brazilian citizens perceive animal welfare conditions in poultry, beef, and dairy supply chains? PLoS One 13(12):e0202062, 19 December 2018. OPEN ACCESS. Article history: Received:July 23, 2018//Accepted:December 5, 2018//Published:December19, 2018.| Biblioteca(s): INIA La Estanzuela. |
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| 53. | | CANOZZI, M.E.A.; MEDEROS, A.; MENEGASI, S.R.O.; CAMARGO, C.M.; BREMM, B.; HOERBE, J.B.; BARCELLOS, J.O.J. Effects of dehorning on welfare indicators in beef cattle: systematic review-meta-analysis approach. In: Conference, Reunião Anual da Sociedade Brasileira de Zootecnia (SBZ), 53., 01-04 de Agosto, Gramado, Brasil, 2016.| Biblioteca(s): INIA Tacuarembó. |
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| 54. | | CANOZZI, M.E.A.; MEDEROS, A.; ZAGO, D.; PEREIRA, G.R.; BARCELLOS, J.O. A systematic review-meta-analysis of castration and welfare indicators in beef cattle. [Abstract]. J. Anim. Sci Vol. 94, E-Suppl. 5/J. Dairy Sci. Vol. 99, E-Suppl. 1, 2016, 0086, p. 38. Conference, 2016 Joint Annual Meeting (JAM), At Salt Lake City, USA.| Biblioteca(s): INIA Tacuarembó. |
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| Registros recuperados : 56 | |
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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 : |
18/12/2020 |
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Actualizado : |
21/05/2021 |
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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 : |
BERETTA-BLANCO, A.; CARRASCO-LETELIER, L. |
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Afiliación : |
ANDRÉS BERETTA-BLANCO, Dirección General de Recursos Naturales, Ministerio de Ganadería Agricultura y Pesca, Uruguay.; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Relevant factors in the eutrophication of the Uruguay River and the Río Negro. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Science of the Total Environment, Volume 761, 20 March 2021, Article number 143299. Doi: https://doi.org/10.1016/j.scitotenv.2020.143299 |
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DOI : |
10.1016/j.scitotenv.2020.143299 |
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Idioma : |
Inglés |
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Notas : |
Article history: Article history:Received 10 April 2020/Received in revised form 9 October 2020/Accepted 25 October 2020/Available online 14 November 2020. Corresponding author:E-mail address: lcarrasco@inia.org.uy (L. Carrasco-Letelier). |
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Contenido : |
Abstract: In recent decades, there has been increasing eutrophication of rivers and lagoons in Uruguay and solutions leading to water purification are being sought. The growing pollution has been attributed to nitrogen and phosphorus compounds exported from the river basins with intensification of agricultural production and the absence of tertiary treatment for urban and industrial effluents. Although nitrogen and phosphorus are relevant to eutrophication, there are also other factors that can promote eutrophication and algal blooms. This paper reports a broad analysis of water quality variables recorded over 9 years (2009?2018) at 17 sampling stations on the Uruguay River and 16 sampling stations on the Río Negro, and explores their relationship with the changes of chlorophyll a (Chl-a) concentrations using a generalized linear model and a neural network simulation (NNS). The input variables were total phosphorus; total suspended solids; electrical conductivity of water (ECw); alkalinity; water temperature (T); water pH (pH) and sampling month. The NNS explained 79% of Chl-a variations and showed
the most relevant variables to be T, ECw, and pH. Moreover, the NNS showed that replacement of current land uses by natural prairie would not significantly reduce Chl-a concentrations. The results showed that the main factors that drive Chl-a concentrations (i.e., algae) are not directly linked to agriculture land use. |
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Palabras claves : |
CHL-A; EUTROPHICATION; FRESHWATER; NEURAL NETWORK SIMULATIONS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02373naa a2200205 a 4500
001 1061591
005 2021-05-21
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1016/j.scitotenv.2020.143299$2DOI
100 1 $aBERETTA-BLANCO, A.
245 $aRelevant factors in the eutrophication of the Uruguay River and the Río Negro.$h[electronic resource]
260 $c2021
500 $aArticle history: Article history:Received 10 April 2020/Received in revised form 9 October 2020/Accepted 25 October 2020/Available online 14 November 2020. Corresponding author:E-mail address: lcarrasco@inia.org.uy (L. Carrasco-Letelier).
520 $aAbstract: In recent decades, there has been increasing eutrophication of rivers and lagoons in Uruguay and solutions leading to water purification are being sought. The growing pollution has been attributed to nitrogen and phosphorus compounds exported from the river basins with intensification of agricultural production and the absence of tertiary treatment for urban and industrial effluents. Although nitrogen and phosphorus are relevant to eutrophication, there are also other factors that can promote eutrophication and algal blooms. This paper reports a broad analysis of water quality variables recorded over 9 years (2009?2018) at 17 sampling stations on the Uruguay River and 16 sampling stations on the Río Negro, and explores their relationship with the changes of chlorophyll a (Chl-a) concentrations using a generalized linear model and a neural network simulation (NNS). The input variables were total phosphorus; total suspended solids; electrical conductivity of water (ECw); alkalinity; water temperature (T); water pH (pH) and sampling month. The NNS explained 79% of Chl-a variations and showed the most relevant variables to be T, ECw, and pH. Moreover, the NNS showed that replacement of current land uses by natural prairie would not significantly reduce Chl-a concentrations. The results showed that the main factors that drive Chl-a concentrations (i.e., algae) are not directly linked to agriculture land use.
653 $aCHL-A
653 $aEUTROPHICATION
653 $aFRESHWATER
653 $aNEURAL NETWORK SIMULATIONS
700 1 $aCARRASCO-LETELIER, L.
773 $tScience of the Total Environment, Volume 761, 20 March 2021, Article number 143299. Doi: https://doi.org/10.1016/j.scitotenv.2020.143299
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