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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
22/07/2018 |
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Actualizado : |
12/02/2021 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
DINI, Y.; GERE, J.I.; CAJARVILLE, C.; CIGANDA, V. |
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Afiliación : |
YOANA FATIMA DINI VILAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ IGNACIO GERE, Universidad Tecnológica Nacional, Facultad Regional Buenos Aires.; CECILIA CAJARVILLE, Universidad de la República (UdelaR)/ Facultad de Veterinaria; VERONICA SOLANGE CIGANDA BRASCA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Using highly nutritious pastures to mitigate enteric methane emissions from cattle grazing systems in South America. |
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Fecha de publicación : |
2018 |
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Fuente / Imprenta : |
Animal Production Science, 2018, Volume 58, Issue 12, Pages 2329-2334. Doi: https://doi.org/10.1071/AN16803 |
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Serie : |
1836-0939 |
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DOI : |
10.1071/AN16803 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 9 December 2016 / Accepted 3 August 2017 / Published online 23 November 2017. |
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Contenido : |
Abstract.
Enteric methane (CH4) emissions are directly related to the quantity and type of feed intake. Existing mitigation strategies, for example, the addition of legumes to grass-based diets and increased use of grains, have been thoroughly researched and applied in different production systems. In this paper, we propose a need to expand the capacity to mitigate enteric CH4 emissions in cattle under grazing conditions. The objective of this paper was to contribute to evaluate a mitigation strategy under grazing conditions of using contrasting levels of pasture quality. The study was performed with 20 heifers twice during the year: winter and spring. Each season, the study employed a crossover design with two treatments and two 5-day measurement periods. The treatments were two pastures with different nutritional values, including a pasture with a low quality (70% of neutral detergent fibre, 1% of ether extract, 8% of non-fibre carbohydrates), 9% of crude protein, 35% of dry matter digestibility and a pasture with a high quality (42% neutral detergent fibre, 1.3% ether extract, 24% non-fibre carbohydrates, 21% crude protein and 63% dry matter digestibility). Enteric CH4 emissions were measured with sulfur hexafluoride tracer technique. The dry matter intake (kg/day) was measured indirectly using titanium dioxide as an external marker. CH4 emissions from animals grazing the high-quality pasture were 14% lower expressed as % of gross energy intake, and 11% lower expressed by unit of dry matter intake (g CH4/kg). These results quantitative showed the alternative to mitigate CH4 emissions from grazing bovines exclusively through the improvement of the forage quality offered.
© CSIRO. MenosAbstract.
Enteric methane (CH4) emissions are directly related to the quantity and type of feed intake. Existing mitigation strategies, for example, the addition of legumes to grass-based diets and increased use of grains, have been thoroughly researched and applied in different production systems. In this paper, we propose a need to expand the capacity to mitigate enteric CH4 emissions in cattle under grazing conditions. The objective of this paper was to contribute to evaluate a mitigation strategy under grazing conditions of using contrasting levels of pasture quality. The study was performed with 20 heifers twice during the year: winter and spring. Each season, the study employed a crossover design with two treatments and two 5-day measurement periods. The treatments were two pastures with different nutritional values, including a pasture with a low quality (70% of neutral detergent fibre, 1% of ether extract, 8% of non-fibre carbohydrates), 9% of crude protein, 35% of dry matter digestibility and a pasture with a high quality (42% neutral detergent fibre, 1.3% ether extract, 24% non-fibre carbohydrates, 21% crude protein and 63% dry matter digestibility). Enteric CH4 emissions were measured with sulfur hexafluoride tracer technique. The dry matter intake (kg/day) was measured indirectly using titanium dioxide as an external marker. CH4 emissions from animals grazing the high-quality pasture were 14% lower expressed as % of gross energy intake, and 11% lower expressed by... Presentar Todo |
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Palabras claves : |
GRAZING CONDITIONS; PASTURE QUALITY; SF6 TRACER TECHNIQUE. |
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Thesagro : |
PASTURAS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 02575naa a2200241 a 4500
001 1058832
005 2021-02-12
008 2018 bl uuuu u00u1 u #d
024 7 $a10.1071/AN16803$2DOI
100 1 $aDINI, Y.
245 $aUsing highly nutritious pastures to mitigate enteric methane emissions from cattle grazing systems in South America.$h[electronic resource]
260 $c2018
490 $a1836-0939
500 $aArticle history: Received 9 December 2016 / Accepted 3 August 2017 / Published online 23 November 2017.
520 $aAbstract. Enteric methane (CH4) emissions are directly related to the quantity and type of feed intake. Existing mitigation strategies, for example, the addition of legumes to grass-based diets and increased use of grains, have been thoroughly researched and applied in different production systems. In this paper, we propose a need to expand the capacity to mitigate enteric CH4 emissions in cattle under grazing conditions. The objective of this paper was to contribute to evaluate a mitigation strategy under grazing conditions of using contrasting levels of pasture quality. The study was performed with 20 heifers twice during the year: winter and spring. Each season, the study employed a crossover design with two treatments and two 5-day measurement periods. The treatments were two pastures with different nutritional values, including a pasture with a low quality (70% of neutral detergent fibre, 1% of ether extract, 8% of non-fibre carbohydrates), 9% of crude protein, 35% of dry matter digestibility and a pasture with a high quality (42% neutral detergent fibre, 1.3% ether extract, 24% non-fibre carbohydrates, 21% crude protein and 63% dry matter digestibility). Enteric CH4 emissions were measured with sulfur hexafluoride tracer technique. The dry matter intake (kg/day) was measured indirectly using titanium dioxide as an external marker. CH4 emissions from animals grazing the high-quality pasture were 14% lower expressed as % of gross energy intake, and 11% lower expressed by unit of dry matter intake (g CH4/kg). These results quantitative showed the alternative to mitigate CH4 emissions from grazing bovines exclusively through the improvement of the forage quality offered. © CSIRO.
650 $aPASTURAS
653 $aGRAZING CONDITIONS
653 $aPASTURE QUALITY
653 $aSF6 TRACER TECHNIQUE
700 1 $aGERE, J.I.
700 1 $aCAJARVILLE, C.
700 1 $aCIGANDA, V.
773 $tAnimal Production Science, 2018, Volume 58, Issue 12, Pages 2329-2334. Doi: https://doi.org/10.1071/AN16803
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INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
09/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
C - 0 |
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Autor : |
COZZOLINO, D.; RESTAINO, E.; FASSIO, A. |
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Afiliación : |
D. COZZOLINO, The Australian Wine Research Institute, Waite Campus, Adelaide, Australia; ERNESTO ANGEL RESTAINO GALUP, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay; ALBERTO SANTIAGO FASSIO ARAUJO, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Discrimination of yerba mate (Ilex paraguayensis St. Hil.) samples according to their geographical origin by means of near infrared spectroscopy and multivariate analysis. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Sensing and Instrumentation for Food Quality and Safety, 2010, v.4, no.2, p.67-72. |
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DOI : |
10.1007/s11694-010-9096-y |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 13 December 2009 / Accepted: 17 April 2010 / Published online: 29 April 2010. |
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Contenido : |
ABSTRACT.
Near infrared reflectance (NIR) spectroscopy combined with multivariate data analysis was used to discriminate between the geographical origins of yerba mate (Ilex paraguayensis St. Hil.) samples. Samples were purchased from the local market and scanned in the NIR region (1100-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) were used to classify the samples based on their NIR spectra according to their geographical origin. Full cross validation was used as validation method when classification models were developed. The overall classification rates obtained were 76 and 100% using PLS-DA and LDA, respectively. The results demonstrated the usefulness of NIR spectra combined with multivariate data analysis as an objective and rapid method to classify yerba mate samples according to their geographical origin. Nevertheless, NIR spectroscopic might provide initial screening in the food chain and enable costly methods to be used more productively on suspect specimens.
© 2010 Springer Science+Business Media, LLC. |
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Palabras claves : |
ANÁLISIS MULTIVARIANTE; ESPECTROSCOPÍA DE REFLECTANCIA EN EL INFRARROJO CERCANO; NIRS; ORIGEN GEOGRÁFICO; YERBA MATE. |
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Thesagro : |
ESPECTROSCOPÍA DEL INFRARROJO CERCANO; ILEX PARAGUARIENSIS; YERBA MATE. |
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Asunto categoría : |
F01 Cultivo
Q01 Ciencia y tecnología de los alimentos |
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Marc : |
LEADER 02183naa a2200265 a 4500
001 1012847
005 2019-10-09
008 2010 bl uuuu u00u1 u #d
024 7 $a10.1007/s11694-010-9096-y$2DOI
100 1 $aCOZZOLINO, D.
245 $aDiscrimination of yerba mate (Ilex paraguayensis St. Hil.) samples according to their geographical origin by means of near infrared spectroscopy and multivariate analysis.
260 $c2010
500 $aArticle history: Received: 13 December 2009 / Accepted: 17 April 2010 / Published online: 29 April 2010.
520 $aABSTRACT. Near infrared reflectance (NIR) spectroscopy combined with multivariate data analysis was used to discriminate between the geographical origins of yerba mate (Ilex paraguayensis St. Hil.) samples. Samples were purchased from the local market and scanned in the NIR region (1100-2500 nm) in a monochromator instrument in reflectance. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and linear discriminant analysis (LDA) were used to classify the samples based on their NIR spectra according to their geographical origin. Full cross validation was used as validation method when classification models were developed. The overall classification rates obtained were 76 and 100% using PLS-DA and LDA, respectively. The results demonstrated the usefulness of NIR spectra combined with multivariate data analysis as an objective and rapid method to classify yerba mate samples according to their geographical origin. Nevertheless, NIR spectroscopic might provide initial screening in the food chain and enable costly methods to be used more productively on suspect specimens. © 2010 Springer Science+Business Media, LLC.
650 $aESPECTROSCOPÍA DEL INFRARROJO CERCANO
650 $aILEX PARAGUARIENSIS
650 $aYERBA MATE
653 $aANÁLISIS MULTIVARIANTE
653 $aESPECTROSCOPÍA DE REFLECTANCIA EN EL INFRARROJO CERCANO
653 $aNIRS
653 $aORIGEN GEOGRÁFICO
653 $aYERBA MATE
700 1 $aRESTAINO, E.
700 1 $aFASSIO, A.
773 $tSensing and Instrumentation for Food Quality and Safety, 2010$gv.4, no.2, p.67-72.
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