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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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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
11/10/2018 |
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Actualizado : |
05/11/2019 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
FRANZLUEBBERS, A.J.; ANGERS, D.; CLARK, H.; EHRHARDT, F.; GRACE, P.; MARTIN-NETO, L.; RODRIGUES, R. DE A.R.; ROEL, A.; SCHOLTEN, M.; SHAFER, S.; SLATTERY, B.; SOUSSANA, J.F.; VERHAGEN, J.; YAGI, K.; ZORRILLA DE SAN MARTÍN, G. |
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Afiliación : |
A. J. FRANZLUEBBERS, USDA - Agricultural Research Service, USA.; DENIS ANGERS, Agriculture and Agri-Food Canada; HARRY CLARK, New Zealand Agricultural Greenhouse Gas Research Centre, New Zealand.; FIONA EHRHARDT, INRA, Paris, France; PETER GRACE, Queenland University of Technology, Brisbane, Australia; LADISLAU MARTIN-NETO, Embrapa Headquarters - Executive-director of Research and Development, Brasilia, Brazil.; RENATO DE ARAGAO RIBEIRO RODRIGUES, Embrapa Soils, Rio de Janeiro, Brazil.; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARTIN SCHOLTEN, Wageningen UR, The Netherlands.; STEVEN SHAFER, USDA, Agricultural Research Service, USA.; BILL SLATTERY, Department of Climate Change and Energy Efficiency, Caberra, Australia; JEAN-GRANCOIS SOUSSANA, INRA, Paris, France.; JAN VERHAGEN, Wageningen UR, The Netherlands,; KAZUYUKI YAGI, National Institute fo Agro-Environmental Sciences, Tsukuba, Japan.; GONZALO ROBERTO ZORRILLA DE SAN MARTÍN PEREYRA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Global Research Alliance on Agricultural Greenhouse gases.[Chap. 3]. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
IN: Zolin, C.A.; Rodrigues, R. de A.R., eds. Impact of climate change on water resources in agriculture. Boca Raton, (USA): CRC Press, 2016. |
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Páginas : |
p. 39-60. |
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ISBN : |
978-149870617-9 |
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DOI : |
10.1201/b18652 |
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Idioma : |
Inglés |
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Palabras claves : |
ACUERDOS ENTRE PAISES; ALIANZAS INTERNACIONALES; EMISIÓN DE GASES DE EFECTO INVERNADERO (GEI). |
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Thesagro : |
CAMBIO CLIMATICO; GASES DE EFECTO INVERNADERO. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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Marc : |
LEADER 01173naa a2200373 a 4500
001 1059189
005 2019-11-05
008 2016 bl uuuu u00u1 u #d
020 $a978-149870617-9
024 7 $a10.1201/b18652$2DOI
100 1 $aFRANZLUEBBERS, A.J.
245 $aGlobal Research Alliance on Agricultural Greenhouse gases.[Chap. 3].$h[electronic resource]
260 $c2016
300 $ap. 39-60.
650 $aCAMBIO CLIMATICO
650 $aGASES DE EFECTO INVERNADERO
653 $aACUERDOS ENTRE PAISES
653 $aALIANZAS INTERNACIONALES
653 $aEMISIÓN DE GASES DE EFECTO INVERNADERO (GEI)
700 1 $aANGERS, D.
700 1 $aCLARK, H.
700 1 $aEHRHARDT, F.
700 1 $aGRACE, P.
700 1 $aMARTIN-NETO, L.
700 1 $aRODRIGUES, R. DE A.R.
700 1 $aROEL, A.
700 1 $aSCHOLTEN, M.
700 1 $aSHAFER, S.
700 1 $aSLATTERY, B.
700 1 $aSOUSSANA, J.F.
700 1 $aVERHAGEN, J.
700 1 $aYAGI, K.
700 1 $aZORRILLA DE SAN MARTÍN, G.
773 $tIN: Zolin, C.A.; Rodrigues, R. de A.R., eds. Impact of climate change on water resources in agriculture. Boca Raton, (USA): CRC Press, 2016.
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