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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
03/03/2022 |
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Actualizado : |
01/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
CUADRO, R.; CADENAZZI, M.; QUINCKE, A. |
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Afiliación : |
WASHINGTON ROBIN CUADRO LOPEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MÓNICA CADENAZZI, Universidad de la República, EEMAC, Departamento Biometría, Estadística y Computación, Paysandú, Uruguay.; JUAN ANDRES QUINCKE WALDEN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Soil sampling depth and phosphorus extraction method for phosphorus in leguminous pastures.[Profundidad de muestreo del suelo y método de extracción de fósforo en pasturas de leguminosas].[Profundidade de amostragem e método de extração de fósforo em solos com pastagens de leguminosas]. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Agrociencia Uruguay, 2022, Volume 26, Number 1, Article 954. DOI: https://doi.org/10.31285/AGRO.26.954 |
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ISSN : |
2730-5066 |
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DOI : |
10.31285/AGRO.26.954 |
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Idioma : |
Inglés |
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Notas : |
Article history:Received 05 Aug 2021/ Accepted 07 Jan 2022/ Published 02 Mar 2022. Correspondence: Robin Cuadrorcuadro@inia.org.uy |
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Contenido : |
Abstract:
The current guidelines and recommendations for P fertilization in Uruguay can be improved by adjusting the sampling depth and analytical methods of testing soil P in pastures with different fertilization history. A set of field trials was con-ducted between2008 and 2012 on 14 sites of Uruguay for the purpose of comparing two sampling depths and three methods for assessing P availability by their correlation with annual dry matter yield response. The trials had a randomized complete block design and were sown with Trifolium repensor Lotus corniculatus. Soil P availability was determined by sampling 0-7.5 and 0-15 cmdepth using three analytical methods: Bray I, cationic resins, and citric acid. Rock phosphate and triple superphosphate were applied at five P rates. (0-240 kg kg P2O5 ha-1).Annual forage yield was recorded. Relative yield was calculated as measured yield/maximum yield observed within a block. The correlation between relative yield and soil P availability was studied using the modified arcsine-logarithm calibration curve (ALCC) and analyzing the resulting correlation coefficient, root-mean-square error (RMSE) of the soil P test, and RMSE of the relative yield. The 0-7.5 cm soil sampling depth did not show a better fit than the deeper sampling (0-15 cm), with the latter having less variation in soil P test values. When rock phosphate was used, the correlation coefficients were 0.50 for cationic resins, 0.53 for citric acid,and 0.38 for Bray I. When triple superphosphate was used, the correlation coefficients were 0.37 for cationic resins, 0.44 for citric acid and 0.43 for Bray I. For both P sources, the citric acid method withthe sampling of0-15 cm soil depth is the preferred soil P test method for management of P in leguminous pastures for the soils studied.
Resumen:
En Uruguay, se reconoce que las pautas y las recomendaciones vigentes para la fertilización fosfatada de pasturaspue-den mejorarse a través de un ajuste de la profundidad de muestreo y los métodos analíticos para determinar el fósforo (P) extractable en suelo. El objetivo de este trabajo fue comparar dos profundidades de muestreo y tres métodos de extracción de P en suelo, a través de su correlación con la respuesta vegetal. Los experimentos fueron realizados entre los años 2008 y 2012, en 14 sitios de Uruguay, sobre pasturas de Trifolium repensy Lotus corniculatusfertilizadas con roca fosfórica y superfosfato triple. Se determinó anualmente la disponibilidad de P en el suelo a 0-7,5 y 0-15 cm de profundidad, con tres métodos analíticos: Bray I, resinas catiónicas y ácido cítrico. Se midió anualmente el rendimiento de forraje. La profundidad de muestreo del suelo 0-7,5 cm no mostró un mejor ajuste que el muestreo más profundo (0-15 cm), teniendo este último una menor variación en los valores de análisis de suelo. Cuando se usó roca fosfórica, los coeficientes de correlación fueron 0,50 para resinas catiónicas, 0,53 para ácido cítrico y 0,38 para Bray I. Cuando se usó superfosfato triple, los coeficientes de correlación fueron 0,37 para resinas catiónicas, 0,44 para ácido cítrico y 0,43 para Bray I. Para ambas fuentes de P, el método de ácido cítrico, con muestreo de 0-15 cm de profundidad, es el que mejor se ajusta en la determinación del P extractable, para el conjunto de los suelos evaluados.
Resumo:
No Uruguai, é reconhecido que os parâmetros e recomendações vigentes para a fertilização fosfatada de pastagens podem ser aprimoradas através de um ajuste da profundidade de amostragem e dos métodos analíticos para determinar fósforo (P) extraível do solo. O objetivo deste trabalhofoi comparar duas profundidades de amostragem e três métodos de extração de P do solo e correlacionar com a resposta vegetal. Os experimentos foram realizados entre os anos de 2008 e 2012, em 14 campos de Uruguai, sobre pastagens formadas por Trifolium repense Lotus corniculatus, fertilizadas com rocha fosfatada e superfosfato triplo. Anualmente foi determinada a disponibilidade de P em diferentes profundidades do solo, 0-7,5 e 0-15 cm, com três métodos de analíticos: Bray I, resinas catiônicas e ácido cítrico; além do rendimento de forragem. A profundidade de amostragem do solo de 0-7,5 cm não mostrou melhor correlação com a resposta vegetal na comparação com amostragem mais profunda (0-15 cm), apresentando esta última menor variação nos valores das análises de solo. Quando foi usado rocha fosfatada, os coeficientes de correlação foram 0.50 para resina catiônica, 0.53 para acido cítrico e 0.38 para Bray I. Entretanto, quando usado superfosfato triplo, os coeficientes de correlação foram 0.37, 0.44 e 0.43 para os métodos de resina catiônica, acido cítrico e Bray I, respectivamente. Para ambas as fontes de P o método de acido cítrico, com amostragem de 0-15 cm de profundidade, foi o que melhor se ajustou a determinação de P extraível, em os solos avaliados. MenosAbstract:
The current guidelines and recommendations for P fertilization in Uruguay can be improved by adjusting the sampling depth and analytical methods of testing soil P in pastures with different fertilization history. A set of field trials was con-ducted between2008 and 2012 on 14 sites of Uruguay for the purpose of comparing two sampling depths and three methods for assessing P availability by their correlation with annual dry matter yield response. The trials had a randomized complete block design and were sown with Trifolium repensor Lotus corniculatus. Soil P availability was determined by sampling 0-7.5 and 0-15 cmdepth using three analytical methods: Bray I, cationic resins, and citric acid. Rock phosphate and triple superphosphate were applied at five P rates. (0-240 kg kg P2O5 ha-1).Annual forage yield was recorded. Relative yield was calculated as measured yield/maximum yield observed within a block. The correlation between relative yield and soil P availability was studied using the modified arcsine-logarithm calibration curve (ALCC) and analyzing the resulting correlation coefficient, root-mean-square error (RMSE) of the soil P test, and RMSE of the relative yield. The 0-7.5 cm soil sampling depth did not show a better fit than the deeper sampling (0-15 cm), with the latter having less variation in soil P test values. When rock phosphate was used, the correlation coefficients were 0.50 for cationic resins, 0.53 for citric ac... Presentar Todo |
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Palabras claves : |
Ácido cítrico; Bray I; Cationic resin; Citric acid; Correlación; Correlation; Pastures; Resina catiónica; Soil P test. |
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Thesagro : |
PASTURAS. |
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Asunto categoría : |
-- |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16641/1/954-Article-Text-5474-2-10-20220315.pdf
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Marc : |
LEADER 06272naa a2200301 a 4500
001 1062775
005 2022-09-01
008 2022 bl uuuu u00u1 u #d
022 $a2730-5066
024 7 $a10.31285/AGRO.26.954$2DOI
100 1 $aCUADRO, R.
245 $aSoil sampling depth and phosphorus extraction method for phosphorus in leguminous pastures.[Profundidad de muestreo del suelo y método de extracción de fósforo en pasturas de leguminosas].[Profundidade de amostragem e método de extração de fósforo em solos com pastagens de leguminosas].$h[electronic resource]
260 $c2022
500 $aArticle history:Received 05 Aug 2021/ Accepted 07 Jan 2022/ Published 02 Mar 2022. Correspondence: Robin Cuadrorcuadro@inia.org.uy
520 $aAbstract: The current guidelines and recommendations for P fertilization in Uruguay can be improved by adjusting the sampling depth and analytical methods of testing soil P in pastures with different fertilization history. A set of field trials was con-ducted between2008 and 2012 on 14 sites of Uruguay for the purpose of comparing two sampling depths and three methods for assessing P availability by their correlation with annual dry matter yield response. The trials had a randomized complete block design and were sown with Trifolium repensor Lotus corniculatus. Soil P availability was determined by sampling 0-7.5 and 0-15 cmdepth using three analytical methods: Bray I, cationic resins, and citric acid. Rock phosphate and triple superphosphate were applied at five P rates. (0-240 kg kg P2O5 ha-1).Annual forage yield was recorded. Relative yield was calculated as measured yield/maximum yield observed within a block. The correlation between relative yield and soil P availability was studied using the modified arcsine-logarithm calibration curve (ALCC) and analyzing the resulting correlation coefficient, root-mean-square error (RMSE) of the soil P test, and RMSE of the relative yield. The 0-7.5 cm soil sampling depth did not show a better fit than the deeper sampling (0-15 cm), with the latter having less variation in soil P test values. When rock phosphate was used, the correlation coefficients were 0.50 for cationic resins, 0.53 for citric acid,and 0.38 for Bray I. When triple superphosphate was used, the correlation coefficients were 0.37 for cationic resins, 0.44 for citric acid and 0.43 for Bray I. For both P sources, the citric acid method withthe sampling of0-15 cm soil depth is the preferred soil P test method for management of P in leguminous pastures for the soils studied. Resumen: En Uruguay, se reconoce que las pautas y las recomendaciones vigentes para la fertilización fosfatada de pasturaspue-den mejorarse a través de un ajuste de la profundidad de muestreo y los métodos analíticos para determinar el fósforo (P) extractable en suelo. El objetivo de este trabajo fue comparar dos profundidades de muestreo y tres métodos de extracción de P en suelo, a través de su correlación con la respuesta vegetal. Los experimentos fueron realizados entre los años 2008 y 2012, en 14 sitios de Uruguay, sobre pasturas de Trifolium repensy Lotus corniculatusfertilizadas con roca fosfórica y superfosfato triple. Se determinó anualmente la disponibilidad de P en el suelo a 0-7,5 y 0-15 cm de profundidad, con tres métodos analíticos: Bray I, resinas catiónicas y ácido cítrico. Se midió anualmente el rendimiento de forraje. La profundidad de muestreo del suelo 0-7,5 cm no mostró un mejor ajuste que el muestreo más profundo (0-15 cm), teniendo este último una menor variación en los valores de análisis de suelo. Cuando se usó roca fosfórica, los coeficientes de correlación fueron 0,50 para resinas catiónicas, 0,53 para ácido cítrico y 0,38 para Bray I. Cuando se usó superfosfato triple, los coeficientes de correlación fueron 0,37 para resinas catiónicas, 0,44 para ácido cítrico y 0,43 para Bray I. Para ambas fuentes de P, el método de ácido cítrico, con muestreo de 0-15 cm de profundidad, es el que mejor se ajusta en la determinación del P extractable, para el conjunto de los suelos evaluados. Resumo: No Uruguai, é reconhecido que os parâmetros e recomendações vigentes para a fertilização fosfatada de pastagens podem ser aprimoradas através de um ajuste da profundidade de amostragem e dos métodos analíticos para determinar fósforo (P) extraível do solo. O objetivo deste trabalhofoi comparar duas profundidades de amostragem e três métodos de extração de P do solo e correlacionar com a resposta vegetal. Os experimentos foram realizados entre os anos de 2008 e 2012, em 14 campos de Uruguai, sobre pastagens formadas por Trifolium repense Lotus corniculatus, fertilizadas com rocha fosfatada e superfosfato triplo. Anualmente foi determinada a disponibilidade de P em diferentes profundidades do solo, 0-7,5 e 0-15 cm, com três métodos de analíticos: Bray I, resinas catiônicas e ácido cítrico; além do rendimento de forragem. A profundidade de amostragem do solo de 0-7,5 cm não mostrou melhor correlação com a resposta vegetal na comparação com amostragem mais profunda (0-15 cm), apresentando esta última menor variação nos valores das análises de solo. Quando foi usado rocha fosfatada, os coeficientes de correlação foram 0.50 para resina catiônica, 0.53 para acido cítrico e 0.38 para Bray I. Entretanto, quando usado superfosfato triplo, os coeficientes de correlação foram 0.37, 0.44 e 0.43 para os métodos de resina catiônica, acido cítrico e Bray I, respectivamente. Para ambas as fontes de P o método de acido cítrico, com amostragem de 0-15 cm de profundidade, foi o que melhor se ajustou a determinação de P extraível, em os solos avaliados.
650 $aPASTURAS
653 $aÁcido cítrico
653 $aBray I
653 $aCationic resin
653 $aCitric acid
653 $aCorrelación
653 $aCorrelation
653 $aPastures
653 $aResina catiónica
653 $aSoil P test
700 1 $aCADENAZZI, M.
700 1 $aQUINCKE, A.
773 $tAgrociencia Uruguay, 2022, Volume 26, Number 1, Article 954. DOI: https://doi.org/10.31285/AGRO.26.954
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INIA La Estanzuela (LE) |
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
23/09/2016 |
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Actualizado : |
23/09/2016 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
BASILE, P.; FORMOSO, D.; TISCORNIA, G.; BLUMETTO, O. |
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Afiliación : |
PATRICIA CECILIA BASILE LORENZO, Universidad de la República (UdelaR)/ Centro Universitario Regional Tacuarembó; DANIEL FORMOSO CUNHA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR RICARDO BLUMETTO VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Radiation use efficiency on campos graslands with contrasting grzing methods. [Resumen de poster]. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
ln: Encuentro de Investigadores de la Región Noreste: Cerro Largo-Rivera-Tacuarembó, 1., 12 de agosto de 2016, Campus Interinstitucional de Tacuarembó, Tacuarembó. Libro de Resúmenes. Tacuarembó: UDELAR; INIA, 2016. |
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Páginas : |
p. 64 |
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Idioma : |
Inglés |
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Contenido : |
Introduction: In Uruguay, the Basaltic region has de highest proportion of natural grasslands of the country. In this pastures, livestock management is the main reason of degradation of natural grasslands. Today, it's possible to estimate ANPP (Aboveground Net Primary Production) using remote sensing techniques. The RUE (Radiation Use Efficiency) is the effectiveness with which fPAR (fraction of Photosyntethically Active Radiation absorbed by plants) is transformed in ANPP and is known to vary according to temperature, precipitation and species composition. Objectives; The aims of this work were: a) to calibrate RUE and b) study the temporal variability
of RUE for two contrasting grazing methods. Materials & Methods: The study was conducted on five livestock farms located in the Basaltic region. In each site, two contrasting pastures with different historical grazing management (controlled vs continuous stocking rate) were selected. Data was collected between september 2013 and february 2015. RUE coefficient was estimated following Monteith equation: RUE= ANPP / APAR and APAR= fPAR x PAR. ANPP was estimated using the technique of regrowth in three exclusion cages. Biomass was cut at 1cm in boxes 20 x 50cm with shears every 45-50 days and was dried in forced air oven at 60 ° C. fPAR
was obtained as a function of ENVI images from MODIS sensor (US Geological Survey) and PAR was estimated from agro-climatic stations of INIA. RUE data were analyzed with a oneway ANOVA and the means were compared with T test for paired samples. Results: Between grazing methods, RUE average values were statistically different (p <0.05), with controlled management reporting values above 44%. When analysing seasonal variation between grazing methods, there were no statistical differences in RUE values. Seasonal variation of RUE for each grazing methods separately, was significantly different within seasons (p <0.05). Conclusions: The RUE values obtained could be used in the estimation of a more accurately ANPP in natural grasslands of this region. MenosIntroduction: In Uruguay, the Basaltic region has de highest proportion of natural grasslands of the country. In this pastures, livestock management is the main reason of degradation of natural grasslands. Today, it's possible to estimate ANPP (Aboveground Net Primary Production) using remote sensing techniques. The RUE (Radiation Use Efficiency) is the effectiveness with which fPAR (fraction of Photosyntethically Active Radiation absorbed by plants) is transformed in ANPP and is known to vary according to temperature, precipitation and species composition. Objectives; The aims of this work were: a) to calibrate RUE and b) study the temporal variability
of RUE for two contrasting grazing methods. Materials & Methods: The study was conducted on five livestock farms located in the Basaltic region. In each site, two contrasting pastures with different historical grazing management (controlled vs continuous stocking rate) were selected. Data was collected between september 2013 and february 2015. RUE coefficient was estimated following Monteith equation: RUE= ANPP / APAR and APAR= fPAR x PAR. ANPP was estimated using the technique of regrowth in three exclusion cages. Biomass was cut at 1cm in boxes 20 x 50cm with shears every 45-50 days and was dried in forced air oven at 60 ° C. fPAR
was obtained as a function of ENVI images from MODIS sensor (US Geological Survey) and PAR was estimated from agro-climatic stations of INIA. RUE data were analyzed with a oneway ANOVA and the mea... Presentar Todo |
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Palabras claves : |
GRASSLAND PRODUCTIVITY; LIVESTOCK MANAGEMENT; PPNA. |
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Thesagro : |
PASTURAS. |
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Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6099/1/PAGINA-64.pdf
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Marc : |
LEADER 02852naa a2200217 a 4500
001 1055722
005 2016-09-23
008 2016 bl uuuu u00u1 u #d
100 1 $aBASILE, P.
245 $aRadiation use efficiency on campos graslands with contrasting grzing methods. [Resumen de poster].$h[electronic resource]
260 $c2016
300 $ap. 64
520 $aIntroduction: In Uruguay, the Basaltic region has de highest proportion of natural grasslands of the country. In this pastures, livestock management is the main reason of degradation of natural grasslands. Today, it's possible to estimate ANPP (Aboveground Net Primary Production) using remote sensing techniques. The RUE (Radiation Use Efficiency) is the effectiveness with which fPAR (fraction of Photosyntethically Active Radiation absorbed by plants) is transformed in ANPP and is known to vary according to temperature, precipitation and species composition. Objectives; The aims of this work were: a) to calibrate RUE and b) study the temporal variability of RUE for two contrasting grazing methods. Materials & Methods: The study was conducted on five livestock farms located in the Basaltic region. In each site, two contrasting pastures with different historical grazing management (controlled vs continuous stocking rate) were selected. Data was collected between september 2013 and february 2015. RUE coefficient was estimated following Monteith equation: RUE= ANPP / APAR and APAR= fPAR x PAR. ANPP was estimated using the technique of regrowth in three exclusion cages. Biomass was cut at 1cm in boxes 20 x 50cm with shears every 45-50 days and was dried in forced air oven at 60 ° C. fPAR was obtained as a function of ENVI images from MODIS sensor (US Geological Survey) and PAR was estimated from agro-climatic stations of INIA. RUE data were analyzed with a oneway ANOVA and the means were compared with T test for paired samples. Results: Between grazing methods, RUE average values were statistically different (p <0.05), with controlled management reporting values above 44%. When analysing seasonal variation between grazing methods, there were no statistical differences in RUE values. Seasonal variation of RUE for each grazing methods separately, was significantly different within seasons (p <0.05). Conclusions: The RUE values obtained could be used in the estimation of a more accurately ANPP in natural grasslands of this region.
650 $aPASTURAS
653 $aGRASSLAND PRODUCTIVITY
653 $aLIVESTOCK MANAGEMENT
653 $aPPNA
700 1 $aFORMOSO, D.
700 1 $aTISCORNIA, G.
700 1 $aBLUMETTO, O.
773 $tln: Encuentro de Investigadores de la Región Noreste: Cerro Largo-Rivera-Tacuarembó, 1., 12 de agosto de 2016, Campus Interinstitucional de Tacuarembó, Tacuarembó. Libro de Resúmenes. Tacuarembó: UDELAR; INIA, 2016.
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