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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
11/06/2020 |
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Actualizado : |
22/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
DO CARMO, M.; CARDOZO, G.; MECATTI, F.; SOCA, P.; HIRATA, M. |
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Afiliación : |
MARTÍN DO CARMO, Departamento de Sistemas Agrarios y Paisajes Culturales, Centro Universitario de la Región Este, Rocha, Uruguay.; GERONIMO AGUSTIN CARDOZO CABANELAS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; FULVIA MECATTI, Department of Statistics, Università degli Studi di Milano-Bicocca.; PABLO SOCA, Universidad de la República, School of Agronomy, EEMAC.; MASAHIKO HIRATA, Department of Animal and Grassland Sciences, University of Miyazaki. |
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Título : |
Number of samples for accurate visual estimation of mean herbage mass in Campos grasslands. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Agronomy Journal, July 2020, Vol. 112(4), p. 2734-2740. Doi: https://doi.org/10.1002/agj2.20237 |
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DOI : |
DOI: 10.1002/agj2.20237 |
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Idioma : |
Inglés |
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Notas : |
Article history: Manuscript received: 23 October 2019. Manuscript revised: 23 March 2020. Manuscript accepted: 01 April 2020. Accepted manuscript online: 09 April 2020. Version of Record online: 19 May 2020. Published July 2020. |
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Contenido : |
The number of samples is a major issue when estimating the mean herbage mass of grazed paddocks. The aim of this study was to assess the number of samples required for accurate visual estimation of mean herbage mass in relation to the herbage mass heterogeneity and size of paddocks. Data were collected across scales of space and time (273 sampling events) from paddocks on Campos grasslands in Uruguay, using the visual estimation technique. The mean herbage mass of the paddocks ranged from 270 to 6350 kg DM ha−1 with coefficient of variation (CV) of 0.13 to 1.26. Twenty-four events representing four levels of herbage mass heterogeneity (CV = 0.3, 0.5, 0.7 and 1.0) × three levels of paddock size (small, 5?13 ha; medium, 41?67 ha; large, 100?140 ha) were chosen (two replicates per group), and analyzed for the probability that the estimation error exceeded 10% of the mean (10% error probability) using the bootstrap technique. The number of samples required for
controlling the 10% error probability below 0.1 increased gradually from 50 to 150 per paddock as the CV increased from 0.3 to 0.7, then sharply to 350 until the CV increased to 1.0, with no effect of paddock size. Taking account of the distribution of CV (< 0.7 in nearly 80% of the events), we propose a general recommendation to take a minimum of 150 samples per paddock for accurate estimation of mean herbage mass in Campos grasslands irrespective of the size of paddocks. |
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Palabras claves : |
ANIMAL PRODUCTION; E-TANIN; ESTIMACION DE BIOMASA; FIELD IMPROVEMENT; LOTUS PEDUNCULATUS; MEJORAMIENTO DE CAMPO; MEJORAMIENTO DE CAMPO NATURAL; PRODUCCIÓN ANIMAL. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02569naa a2200289 a 4500
001 1061106
005 2021-02-22
008 2020 bl uuuu u00u1 u #d
024 7 $aDOI: 10.1002/agj2.20237$2DOI
100 1 $aDO CARMO, M.
245 $aNumber of samples for accurate visual estimation of mean herbage mass in Campos grasslands.$h[electronic resource]
260 $c2020
500 $aArticle history: Manuscript received: 23 October 2019. Manuscript revised: 23 March 2020. Manuscript accepted: 01 April 2020. Accepted manuscript online: 09 April 2020. Version of Record online: 19 May 2020. Published July 2020.
520 $aThe number of samples is a major issue when estimating the mean herbage mass of grazed paddocks. The aim of this study was to assess the number of samples required for accurate visual estimation of mean herbage mass in relation to the herbage mass heterogeneity and size of paddocks. Data were collected across scales of space and time (273 sampling events) from paddocks on Campos grasslands in Uruguay, using the visual estimation technique. The mean herbage mass of the paddocks ranged from 270 to 6350 kg DM ha−1 with coefficient of variation (CV) of 0.13 to 1.26. Twenty-four events representing four levels of herbage mass heterogeneity (CV = 0.3, 0.5, 0.7 and 1.0) × three levels of paddock size (small, 5?13 ha; medium, 41?67 ha; large, 100?140 ha) were chosen (two replicates per group), and analyzed for the probability that the estimation error exceeded 10% of the mean (10% error probability) using the bootstrap technique. The number of samples required for controlling the 10% error probability below 0.1 increased gradually from 50 to 150 per paddock as the CV increased from 0.3 to 0.7, then sharply to 350 until the CV increased to 1.0, with no effect of paddock size. Taking account of the distribution of CV (< 0.7 in nearly 80% of the events), we propose a general recommendation to take a minimum of 150 samples per paddock for accurate estimation of mean herbage mass in Campos grasslands irrespective of the size of paddocks.
653 $aANIMAL PRODUCTION
653 $aE-TANIN
653 $aESTIMACION DE BIOMASA
653 $aFIELD IMPROVEMENT
653 $aLOTUS PEDUNCULATUS
653 $aMEJORAMIENTO DE CAMPO
653 $aMEJORAMIENTO DE CAMPO NATURAL
653 $aPRODUCCIÓN ANIMAL
700 1 $aCARDOZO, G.
700 1 $aMECATTI, F.
700 1 $aSOCA, P.
700 1 $aHIRATA, M.
773 $tAgronomy Journal, July 2020, Vol. 112(4), p. 2734-2740. Doi: https://doi.org/10.1002/agj2.20237
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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 : |
07/04/2021 |
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Actualizado : |
07/04/2021 |
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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 : |
BUSTAMANTE-SILVEIRA, M.; SIRI-PRIETO, G.; CARRASCO-LETELIER, L. |
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Afiliación : |
MAURICIO BUSTAMANTE-SILVEIRA, Estación Experimental Mario Cassinoni (EEMAC), Facultad de Agronomía, Universidad de la República, Ruta 3 km 363, Paysandú, Uruguay.; GUILLERMO SIRI-PRIETO, stación Experimental Mario Cassinoni (EEMAC), Facultad de Agronomía, Universidad de la República, Ruta 3 km 363, Paysandú, Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Water footprints of bioethanol cropping systems in Uruguay, |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Agricultural Water Management, 30 June 2021, Volume 252, Article 106870. Doi: https://doi.org/10.1016/j.agwat.2021.106870 |
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DOI : |
10.1016/j.agwat.2021.106870 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 4 June 2020/ Revised 10 March 2021/ Accepted 13 March 2021/ Available online 5 April 2021. Corresponding author:
E-mail address: bustamantefagro@gmail.com (M. Bustamante-Silveira). |
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Contenido : |
ABSTRACT: Bioenergy is the most widely used type of renewable energy. However, an assessment of water consumption and
pollution is necessary to determine the water demand of this energy source. The Uruguayan public policy to decarbonize energy sources highlighted the use of bioenergy. In this regard, we analyzed the water footprint (WF) of four bioethanol cropping systems: (1) maize-wheat-sorghum rotation without harvested crop residues (MWS), (2) maize-wheat-sorghum rotation with harvested crop residues (MWS-R), (3) continuous sweet sorghum (Ss), and (4) switchgrass (Sw). In order to assess the WF of bioethanol production, green (WFgreen) and gray
(WFgray) components of crop production were calculated by considering the different volumes of water involved
in evaporation, rainfall, and fertilizer pollution. Annual cropping systems (i.e., MWS, MWS-R, Ss) had the largest
WFs (23.1?30.9 m3 L? 1 ethanol). Switchgrass had the lowest values per hectare and per liter of ethanol
(12,735 m3 (ha yr)? 1 and 3.8 m3 L? 1 ethanol, respectively). The volume required to assimilate phosphorous (P) and
nitrogen (N) fertilizers played a significant role in bioethanol cropping systems. In annual systems, WFgray was
the main fraction (87%) of total WF (WFT). Averaged across all cropping systems, WFgray related to P was 13
times larger than WFgray related to N. |
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Palabras claves : |
BIOENERGY; GRAY WATER; GREEN WATER; HUELLA HIDRICA; INTESIFICATION; SOIL EROSION. |
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Thesagro : |
ENERGIA RENOVABLE. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02354naa a2200253 a 4500
001 1061959
005 2021-04-07
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1016/j.agwat.2021.106870$2DOI
100 1 $aBUSTAMANTE-SILVEIRA, M.
245 $aWater footprints of bioethanol cropping systems in Uruguay,$h[electronic resource]
260 $c2021
500 $aArticle history: Received 4 June 2020/ Revised 10 March 2021/ Accepted 13 March 2021/ Available online 5 April 2021. Corresponding author: E-mail address: bustamantefagro@gmail.com (M. Bustamante-Silveira).
520 $aABSTRACT: Bioenergy is the most widely used type of renewable energy. However, an assessment of water consumption and pollution is necessary to determine the water demand of this energy source. The Uruguayan public policy to decarbonize energy sources highlighted the use of bioenergy. In this regard, we analyzed the water footprint (WF) of four bioethanol cropping systems: (1) maize-wheat-sorghum rotation without harvested crop residues (MWS), (2) maize-wheat-sorghum rotation with harvested crop residues (MWS-R), (3) continuous sweet sorghum (Ss), and (4) switchgrass (Sw). In order to assess the WF of bioethanol production, green (WFgreen) and gray (WFgray) components of crop production were calculated by considering the different volumes of water involved in evaporation, rainfall, and fertilizer pollution. Annual cropping systems (i.e., MWS, MWS-R, Ss) had the largest WFs (23.1?30.9 m3 L? 1 ethanol). Switchgrass had the lowest values per hectare and per liter of ethanol (12,735 m3 (ha yr)? 1 and 3.8 m3 L? 1 ethanol, respectively). The volume required to assimilate phosphorous (P) and nitrogen (N) fertilizers played a significant role in bioethanol cropping systems. In annual systems, WFgray was the main fraction (87%) of total WF (WFT). Averaged across all cropping systems, WFgray related to P was 13 times larger than WFgray related to N.
650 $aENERGIA RENOVABLE
653 $aBIOENERGY
653 $aGRAY WATER
653 $aGREEN WATER
653 $aHUELLA HIDRICA
653 $aINTESIFICATION
653 $aSOIL EROSION
700 1 $aSIRI-PRIETO, G.
700 1 $aCARRASCO-LETELIER, L.
773 $tAgricultural Water Management, 30 June 2021, Volume 252, Article 106870. Doi: https://doi.org/10.1016/j.agwat.2021.106870
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