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| Registros recuperados : 2 | |
| 1. |  | REYNO, R.; REAL, D.; DO CANTO, J.; GONZALEZ, S.; ROSSI, C. Ornithopus pinnatus Cultivar INIA Molles. In: BERRETTA, E.; MONTOSSI, F.; BRITO, G. (Ed.). Alternativas tecnológicas para los sistemas ganaderos del basalto. Montevideo, UY: INIA, 2014. 11-19 (Serie Técnica; 217)| Biblioteca(s): INIA Tacuarembó; INIA Treinta y Tres. |
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| Registros recuperados : 2 | |
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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 : |
21/04/2017 |
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Actualizado : |
05/10/2017 |
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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, A.; CARRASCO-LETELIER, L. |
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Afiliación : |
ANDRES NICOLAS BERETTA BLANCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils: resarch note. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Ciencia e Investigación Agraria v. 44, n.1 ,p. 100-112, 2017. |
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DOI : |
10.7764/rcia.v44i1.1622 |
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Idioma : |
Español |
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Notas : |
Article history: Received June 06, 2016.// Accepted January 17, 2017 |
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Contenido : |
Abstract: Soil erosion byrainfall is a process that demands management, both for the prevention of excessive soil erosion
and for the protection of the quality of freshwater bodies. Erosion coefficients (K-factors) of the
universal soil loss equation (USLE)/revised USLE (RUSLE) model were assigned to 99 mapped
Uruguayan soil types at 1:1,000,000 scale. This work developed a linear mixed model (LMM)
with 79 soils with assigned K-factors, in which the following variables were considered: soil
taxonomy, chemical composition, and parent material. The developed LMM had an R2=0.86,
in which the soil taxonomy (p<0.0001), parent material (p=0.0174), clay (p=0.0005) and sand
(p=0.017) contents had significant statistical effects. The prediction capacity of this model
was assessed with 10 soils not previously used in development of the LMM with assigned
K-factors. The prediction assessment had an R2=0.84 and a mean error of 9.08% of the mean
K-factor value. The LMM developed was used for the allocation of K-factors to soils mapped
at a 1:20,000-resolution. Thus, the use of LMM increased the soil area with assigned K-factors
from 111,822 km2 (at a scale of 1:1,000,000) to 174,132 km2 (1:20,000). |
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Palabras claves : |
EROSIÓN DEL SUELO; PARENT MATERIAL; SOIL CHEMISTRY; SOIL CLASSIFICATION; SOIL TEXTURE. |
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Thesagro : |
CLASIFICACIÓN DE SUELOS; QUIMICA DEL SUELO; TEXTURA DEL SUELO; URUGUAY. |
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Asunto categoría : |
P32 Clasificación y génesis del suelo |
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Marc : |
LEADER 02070naa a2200265 a 4500
001 1057111
005 2017-10-05
008 2017 bl uuuu u00u1 u #d
024 7 $a10.7764/rcia.v44i1.1622$2DOI
100 1 $aBERETTA, A.
245 $aUSLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils$bresarch note.$h[electronic resource]
260 $c2017
500 $aArticle history: Received June 06, 2016.// Accepted January 17, 2017
520 $aAbstract: Soil erosion byrainfall is a process that demands management, both for the prevention of excessive soil erosion and for the protection of the quality of freshwater bodies. Erosion coefficients (K-factors) of the universal soil loss equation (USLE)/revised USLE (RUSLE) model were assigned to 99 mapped Uruguayan soil types at 1:1,000,000 scale. This work developed a linear mixed model (LMM) with 79 soils with assigned K-factors, in which the following variables were considered: soil taxonomy, chemical composition, and parent material. The developed LMM had an R2=0.86, in which the soil taxonomy (p<0.0001), parent material (p=0.0174), clay (p=0.0005) and sand (p=0.017) contents had significant statistical effects. The prediction capacity of this model was assessed with 10 soils not previously used in development of the LMM with assigned K-factors. The prediction assessment had an R2=0.84 and a mean error of 9.08% of the mean K-factor value. The LMM developed was used for the allocation of K-factors to soils mapped at a 1:20,000-resolution. Thus, the use of LMM increased the soil area with assigned K-factors from 111,822 km2 (at a scale of 1:1,000,000) to 174,132 km2 (1:20,000).
650 $aCLASIFICACIÓN DE SUELOS
650 $aQUIMICA DEL SUELO
650 $aTEXTURA DEL SUELO
650 $aURUGUAY
653 $aEROSIÓN DEL SUELO
653 $aPARENT MATERIAL
653 $aSOIL CHEMISTRY
653 $aSOIL CLASSIFICATION
653 $aSOIL TEXTURE
700 1 $aCARRASCO-LETELIER, L.
773 $tCiencia e Investigación Agraria$gv. 44, n.1 ,p. 100-112, 2017.
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