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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
18/04/2017 |
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Actualizado : |
15/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
HERD, R.M.; VELAZCO, J.I.; ARTHUR, P.F.; HEGARTY, R.F. |
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Afiliación : |
JOSÉ IGNACIO VELAZCO DE LOS REYES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Associations among methane emission traits measured in the feedlot and in respiration chambers in Angus cattle to vary in feed efficiency. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
Journal of Animal Science. 2016, v.94(11), p. 4882-4891 |
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DOI : |
10.2527/JAS2016-0613 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received May 7, 2016. Accepted September 7, 2016. |
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Contenido : |
Abstract:
The objective of the study was to evaluate associations among animal performance and methane emission traits under feedlot conditions and in respiration chambers in Angus cattle bred to vary in residual feed intake (RFI), which is a measure of feed efficiency. Fifty-nine cattle were tested for feedlot RFI, of which 41 had methane production recorded on an ad libitum grain-based ration in the feedlot, 59 on a restricted grain-based ration in respiration chambers, and 57 on a restricted roughage ration in respiration chambers. The cattle became older and heavier as they went through the different phases of the experiment, but their feed intake (expressed as DMI) and daily emission of enteric methane (methane production rate; MPR) did not increase proportionally, as feed offered was restricted in the respiration chamber tests. Methane emissions by individual animals relative to their DMI were calculated as methane yield (MY; MPR/DMI) and as 2 measures of residual methane production (RMP and RMP), which were calculated as the difference between measured MPR and that predicted from feed intake by 2 different equations. Within each test regime, MPR was positively correlated ( = 0.28 to 0.61) with DMI. Phenotypic correlations for MY, RMP, and RMP between the feedlot test and the restricted grain test ( = 0.40 to 0.43) and between the restricted grain test and the restricted roughage test were moderate ( = 0.36 to 0.41) and moderate to strong between the feedlot test and the restricted roughage test ( = 0.54 to 0.58). These results indicate that the rankings of animals for methane production relative to feed consumed are relatively stable over the 3 test phases. Feedlot feed conversion ratio and RFI were not correlated with MPR in the feedlot test and grain-based chamber test but were negatively correlated with MPR in the chamber roughage test ( = -0.31 and -0.37). Both were negatively correlated with MY and RMP in the feedlot test ( = -0.42 to -0.54) and subsequent chamber roughage test ( = -0.27 to -0.49). Midparent estimated breeding values for RFI tended to be negatively correlated with MY and RMP in the feedlot test ( = -0.27 and -0.27) and were negatively correlated with MY, RMP, and RMP in the chamber roughage test ( = -0.33 to -0.36). These results showed that in young growing cattle, lower RFI was associated with higher MY, RMP, and RMP but had no significant association with MPR. MenosAbstract:
The objective of the study was to evaluate associations among animal performance and methane emission traits under feedlot conditions and in respiration chambers in Angus cattle bred to vary in residual feed intake (RFI), which is a measure of feed efficiency. Fifty-nine cattle were tested for feedlot RFI, of which 41 had methane production recorded on an ad libitum grain-based ration in the feedlot, 59 on a restricted grain-based ration in respiration chambers, and 57 on a restricted roughage ration in respiration chambers. The cattle became older and heavier as they went through the different phases of the experiment, but their feed intake (expressed as DMI) and daily emission of enteric methane (methane production rate; MPR) did not increase proportionally, as feed offered was restricted in the respiration chamber tests. Methane emissions by individual animals relative to their DMI were calculated as methane yield (MY; MPR/DMI) and as 2 measures of residual methane production (RMP and RMP), which were calculated as the difference between measured MPR and that predicted from feed intake by 2 different equations. Within each test regime, MPR was positively correlated ( = 0.28 to 0.61) with DMI. Phenotypic correlations for MY, RMP, and RMP between the feedlot test and the restricted grain test ( = 0.40 to 0.43) and between the restricted grain test and the restricted roughage test were moderate ( = 0.36 to 0.41) and moderate to strong between the feedlot test and t... Presentar Todo |
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Palabras claves : |
CATTLE; EFICIENCIA ALIMENTICIA; FEED EFFICIENCY; GAS METANO; GASES DE EFECTO INVERNADERO; GREENHOUSE GAS; METHANE. |
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Thesagro : |
BOVINOS. |
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Asunto categoría : |
T01 Polución |
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Marc : |
LEADER 03329naa a2200277 a 4500
001 1057076
005 2019-10-15
008 2016 bl uuuu u00u1 u #d
024 7 $a10.2527/JAS2016-0613$2DOI
100 1 $aHERD, R.M.
245 $aAssociations among methane emission traits measured in the feedlot and in respiration chambers in Angus cattle to vary in feed efficiency.$h[electronic resource]
260 $c2016
500 $aArticle history: Received May 7, 2016. Accepted September 7, 2016.
520 $aAbstract: The objective of the study was to evaluate associations among animal performance and methane emission traits under feedlot conditions and in respiration chambers in Angus cattle bred to vary in residual feed intake (RFI), which is a measure of feed efficiency. Fifty-nine cattle were tested for feedlot RFI, of which 41 had methane production recorded on an ad libitum grain-based ration in the feedlot, 59 on a restricted grain-based ration in respiration chambers, and 57 on a restricted roughage ration in respiration chambers. The cattle became older and heavier as they went through the different phases of the experiment, but their feed intake (expressed as DMI) and daily emission of enteric methane (methane production rate; MPR) did not increase proportionally, as feed offered was restricted in the respiration chamber tests. Methane emissions by individual animals relative to their DMI were calculated as methane yield (MY; MPR/DMI) and as 2 measures of residual methane production (RMP and RMP), which were calculated as the difference between measured MPR and that predicted from feed intake by 2 different equations. Within each test regime, MPR was positively correlated ( = 0.28 to 0.61) with DMI. Phenotypic correlations for MY, RMP, and RMP between the feedlot test and the restricted grain test ( = 0.40 to 0.43) and between the restricted grain test and the restricted roughage test were moderate ( = 0.36 to 0.41) and moderate to strong between the feedlot test and the restricted roughage test ( = 0.54 to 0.58). These results indicate that the rankings of animals for methane production relative to feed consumed are relatively stable over the 3 test phases. Feedlot feed conversion ratio and RFI were not correlated with MPR in the feedlot test and grain-based chamber test but were negatively correlated with MPR in the chamber roughage test ( = -0.31 and -0.37). Both were negatively correlated with MY and RMP in the feedlot test ( = -0.42 to -0.54) and subsequent chamber roughage test ( = -0.27 to -0.49). Midparent estimated breeding values for RFI tended to be negatively correlated with MY and RMP in the feedlot test ( = -0.27 and -0.27) and were negatively correlated with MY, RMP, and RMP in the chamber roughage test ( = -0.33 to -0.36). These results showed that in young growing cattle, lower RFI was associated with higher MY, RMP, and RMP but had no significant association with MPR.
650 $aBOVINOS
653 $aCATTLE
653 $aEFICIENCIA ALIMENTICIA
653 $aFEED EFFICIENCY
653 $aGAS METANO
653 $aGASES DE EFECTO INVERNADERO
653 $aGREENHOUSE GAS
653 $aMETHANE
700 1 $aVELAZCO, J.I.
700 1 $aARTHUR, P.F.
700 1 $aHEGARTY, R.F.
773 $tJournal of Animal Science. 2016$gv.94(11), p. 4882-4891
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INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
08/06/2022 |
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Actualizado : |
08/06/2022 |
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Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
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Autor : |
CAL, A.; PRECIOZZI, J.; MUSÉ, PABLO |
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Afiliación : |
ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JAVIER PRECIOZZI, IIE, Facultad de Ingeniería, Universidad de la Republica, Uruguay; Digital Sense, Uruguay; PABLO MUSÉ, IIE, Facultad de Ingeniería, Universidad de la Republica, Uruguay. |
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Título : |
Automatic Classification of Agricultural Summer Crops in Uruguay. [Conference paper] |
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Complemento del título : |
IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels (Belgium) 12-16 July 2021. Code 176845. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
International Geoscience and Remote Sensing Symposium (IGARSS), 2021, pages 6520 - 6523. doi: http://doi.org/10.1109/IGARSS47720.2021.9555035 |
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DOI : |
10.1109/IGARSS47720.2021.9555035 |
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Idioma : |
Inglés |
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Notas : |
Publisher: Institute of Electrical and Electronics Engineers Inc. -- Sponsors: The Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (GRSS). |
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Contenido : |
ABSTRACT - In this work, we present a study for the classification of summer crops on a nationwide perspective. Using both optical and radar satellite images, we implement a time-series classification algorithm using XGBoost. Two datasets with farm-level information were used: one with ground truth obtained directly from farmers' production and the other with declared crops obtained at the government level. The crops analyzed were corn, soybean, sorghum, and pastures. When trained and validated with ground truth, the classifier yields a F1-Score performance of 99% for soybean, and values higher than 80% for corn and sorghum. Predictions performed with this model on the dataset of declared crops lead to F1-Score values of 54, 97, and 50%, for corn, soybean, and sorghum, respectively. These low values for corn and sorghum indicate the presence of mislabeled data in that dataset, which in turns may suggest issues with the declarations provided by the farmers. ©2021 IEEE. |
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Palabras claves : |
Data fusion; K-means; Laser radar; Radar imaging; Satellites; Soil preservation; Sustainable agriculture; XGBoost. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 01977nam a2200253 a 4500
001 1063252
005 2022-06-08
008 2021 bl uuuu u01u1 u #d
024 7 $a10.1109/IGARSS47720.2021.9555035$2DOI
100 1 $aCAL, A.
245 $aAutomatic Classification of Agricultural Summer Crops in Uruguay. [Conference paper]$h[electronic resource]
260 $aInternational Geoscience and Remote Sensing Symposium (IGARSS), 2021, pages 6520 - 6523. doi: http://doi.org/10.1109/IGARSS47720.2021.9555035$c2021
500 $aPublisher: Institute of Electrical and Electronics Engineers Inc. -- Sponsors: The Institute of Electrical and Electronics Engineers Geoscience and Remote Sensing Society (GRSS).
520 $aABSTRACT - In this work, we present a study for the classification of summer crops on a nationwide perspective. Using both optical and radar satellite images, we implement a time-series classification algorithm using XGBoost. Two datasets with farm-level information were used: one with ground truth obtained directly from farmers' production and the other with declared crops obtained at the government level. The crops analyzed were corn, soybean, sorghum, and pastures. When trained and validated with ground truth, the classifier yields a F1-Score performance of 99% for soybean, and values higher than 80% for corn and sorghum. Predictions performed with this model on the dataset of declared crops lead to F1-Score values of 54, 97, and 50%, for corn, soybean, and sorghum, respectively. These low values for corn and sorghum indicate the presence of mislabeled data in that dataset, which in turns may suggest issues with the declarations provided by the farmers. ©2021 IEEE.
653 $aData fusion
653 $aK-means
653 $aLaser radar
653 $aRadar imaging
653 $aSatellites
653 $aSoil preservation
653 $aSustainable agriculture
653 $aXGBoost
700 1 $aPRECIOZZI, J.
700 1 $aMUSÉ, PABLO
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INIA Las Brujas (LB) |
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