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2838. | | REBUFFO, M. Impacto de la FBN de las leguminosas forrajeras en los sistemas productivos del Uruguay: conferencia. In: REUNIÓN LATINOAMERICANA DE RIZOBIOLOGÍA, 25.,; CONGRESO NACIONAL DE MICROORGANISMOS PROMOTORES DEL CRECIMIENTO VEGETAL, 1.; TALLER BIOFAG: MICROORGANISMOS PROMOTORES DEL CRECIMIENTO VEGETAL, SOSTENIBILIDAD Y MEDIO AMBIENTE, 2011, Piriápolis, Maldonado, UY. 50 [i.e. cincuenta] años de investigación en inoculantes como estrategia de desarrollo sostenible (1960-2011); libro de resúmenes. [s.l.]: ALAR, 2011.Biblioteca(s): INIA La Estanzuela. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
Fecha actual : |
21/04/2017 |
Actualizado : |
05/10/2017 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
BERETTA, A.; CARRASCO-LETELIER, L. |
Afiliación : |
ANDRES NICOLAS BERETTA BLANCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
USLE/RUSLE K-factors allocated through a linear mixed model for Uruguayan soils: resarch note. |
Fecha de publicación : |
2017 |
Fuente / Imprenta : |
Ciencia e Investigación Agraria v. 44, n.1 ,p. 100-112, 2017. |
DOI : |
10.7764/rcia.v44i1.1622 |
Idioma : |
Español |
Notas : |
Article history: Received June 06, 2016.// Accepted January 17, 2017 |
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). |
Palabras claves : |
EROSIÓN DEL SUELO; PARENT MATERIAL; SOIL CHEMISTRY; SOIL CLASSIFICATION; SOIL TEXTURE. |
Thesagro : |
CLASIFICACIÓN DE SUELOS; QUIMICA DEL SUELO; TEXTURA DEL SUELO; URUGUAY. |
Asunto categoría : |
P32 Clasificación y génesis del suelo |
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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