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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 : |
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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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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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
28/10/2016 |
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Actualizado : |
28/10/2016 |
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Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
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Autor : |
LÓPEZ VALIENTE, S.; MARESCA, S.; ROGRÍGUEZ, A.M.; DUNLEAVY, M.; LACAU MENGIDO, I.M.; PALLADINO, R.A.; MICCOLI, F.; QUINTANS, G. |
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Afiliación : |
GRACIELA QUINTANS ILARIA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Restricción proteica durante el último tercio de gestación en vacas de cría. 1. Evolución de peso vivo, estado corporal, parámetros reproductivos, perfil metabólico y hormonal en la madre. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
IN: REVISTA ARGENTINA DE PRODUCCIÓN ANIMAL, 2016, VOL. 36, ISS.1 (SUPL). 39 CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL. 19-21 OCTUBRE 2016. ACTAS. Buenos Aires (Argentina): AAPA. |
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Páginas : |
p. 213. |
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Idioma : |
Español |
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Thesagro : |
ANESTRO; BOVINOS DE CARNE; REPRODUCCION ANIMAL. |
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Asunto categoría : |
L10 Genética y mejoramiento animal |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6276/1/aapa-2016-Quintans-1.pdf
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Marc : |
LEADER 00925nam a2200229 a 4500
001 1055938
005 2016-10-28
008 2016 bl uuuu u0uu1 u #d
100 1 $aLÓPEZ VALIENTE, S.
245 $aRestricción proteica durante el último tercio de gestación en vacas de cría. 1. Evolución de peso vivo, estado corporal, parámetros reproductivos, perfil metabólico y hormonal en la madre.$h[electronic resource]
260 $aIN: REVISTA ARGENTINA DE PRODUCCIÓN ANIMAL, 2016, VOL. 36, ISS.1 (SUPL). 39 CONGRESO ARGENTINO DE PRODUCCIÓN ANIMAL. 19-21 OCTUBRE 2016. ACTAS. Buenos Aires (Argentina): AAPA.$c2016
300 $ap. 213.
650 $aANESTRO
650 $aBOVINOS DE CARNE
650 $aREPRODUCCION ANIMAL
700 1 $aMARESCA, S.
700 1 $aROGRÍGUEZ, A.M.
700 1 $aDUNLEAVY, M.
700 1 $aLACAU MENGIDO, I.M.
700 1 $aPALLADINO, R.A.
700 1 $aMICCOLI, F.
700 1 $aQUINTANS, G.
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