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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
22/01/2020 |
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Actualizado : |
22/01/2020 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
PAZ, L.N.; HAMOND, C.; DIAS, C.S.; CURVELO, V.P.; MEDEIROS, M.A.; ORIÁ, A.P.; PINNA, M.H. |
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Afiliación : |
LUCAS NOGUEIRA PAZ, School of Veterinary Medicine and Zootechny, Federal University of Bahia, Salvador, BA, Brazil; CAMILA HAMOND, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLA SILVA DIAS, School of Veterinary Medicine and Zootechny, Federal University of Bahia, Salvador, BA, Brazil; VITOR P. CURVELO, Getúlio Vargas Zoobotanic Park, Salvador, BA, Brazil; MARCO ALBERTO MEDEIROS, Laboratory of Recombinant Technology, Bio-Manguinhos, Brazilian Ministry of Health, FIOCRUZ, Brazil; ARIANNE PONTES ORIÁ, School of Veterinary Medicine and Zootechny, Federal University of Bahia, Salvador, BA, Brazil; MELISSA HANZEN PINNA, School of Veterinary Medicine and Zootechny, Federal University of Bahia, Salvador, BA, Brazil. |
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Título : |
Detection of Leptospira spp. in Captive Broad-Snouted Caiman (Caiman latirostris). [Original Contribution] |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
EcoHealth, 1 December 2019, Volume 16, Issue 4, Pages 694-700. Doi: 10.1007/s10393-019-01452-0 |
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ISSN : |
1612-9202 |
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DOI : |
10.1007/s10393-019-01452-0 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 12 November 2018 / Accepted 30 September 2019 / Published Online 07 November 2019.
The online version of this article contains supplementary material, which is available to authorized users. |
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Contenido : |
ABSTRACT.
Leptospira sp. is an important waterborne zoonotic bacterium, known to cause infection in animals and humans worldwide. The role of reptiles in the transmission of this microorganism is poorly understood and historically neglected. This study aimed to investigate the presence of anti-Leptospira spp. antibodies and leptospiral DNA in captive Caiman latirostris (broad-snouted caiman). Of the 23 reptiles studied by microscopic agglutination test (MAT), 22/23 (95.65%) were considered reactive (titers ≥ 100) and 1/23 (4.35%) non-reactive (titer < 100). The serogroup with highest occurrence was Grippotyphosa (68.18%, n = 15/22) followed by serogroup Djasiman (18.18%, n = 4/22). Specific amplification of Leptospira spp. gene lipL32 was observed in six (26.09%, n = 6/23) blood samples. Five of six samples, previously detected as pathogenic leptospira by PCR, were amplified and sequenced. All the samples corresponded to the pathogenic species Leptospira interrogans (presented 100% of identity) using the PCR targeting to secY gene. We demonstrated high detection of DNA of L. interrogans in crocodilians, and the authors suggest that further research is needed to elucidate the impact of Leptospira spp. infection in health broad-snouted caimans as well as the pathophysiology of leptospirosis in crocodilians.
© 2019, EcoHealth Alliance. |
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Palabras claves : |
Crocodilian; Diagnosis; PLATAFORMA SALUD ANIMAL. |
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Thesagro : |
LEPTOSPIROSIS; REPTILES; ZOONOSIS. |
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Asunto categoría : |
A50 Investigación agraria |
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Marc : |
LEADER 02457naa a2200301 a 4500
001 1060670
005 2020-01-22
008 2019 bl uuuu u00u1 u #d
022 $a1612-9202
024 7 $a10.1007/s10393-019-01452-0$2DOI
100 1 $aPAZ, L.N.
245 $aDetection of Leptospira spp. in Captive Broad-Snouted Caiman (Caiman latirostris). [Original Contribution]$h[electronic resource]
260 $c2019
500 $aArticle history: Received 12 November 2018 / Accepted 30 September 2019 / Published Online 07 November 2019. The online version of this article contains supplementary material, which is available to authorized users.
520 $aABSTRACT. Leptospira sp. is an important waterborne zoonotic bacterium, known to cause infection in animals and humans worldwide. The role of reptiles in the transmission of this microorganism is poorly understood and historically neglected. This study aimed to investigate the presence of anti-Leptospira spp. antibodies and leptospiral DNA in captive Caiman latirostris (broad-snouted caiman). Of the 23 reptiles studied by microscopic agglutination test (MAT), 22/23 (95.65%) were considered reactive (titers ≥ 100) and 1/23 (4.35%) non-reactive (titer < 100). The serogroup with highest occurrence was Grippotyphosa (68.18%, n = 15/22) followed by serogroup Djasiman (18.18%, n = 4/22). Specific amplification of Leptospira spp. gene lipL32 was observed in six (26.09%, n = 6/23) blood samples. Five of six samples, previously detected as pathogenic leptospira by PCR, were amplified and sequenced. All the samples corresponded to the pathogenic species Leptospira interrogans (presented 100% of identity) using the PCR targeting to secY gene. We demonstrated high detection of DNA of L. interrogans in crocodilians, and the authors suggest that further research is needed to elucidate the impact of Leptospira spp. infection in health broad-snouted caimans as well as the pathophysiology of leptospirosis in crocodilians. © 2019, EcoHealth Alliance.
650 $aLEPTOSPIROSIS
650 $aREPTILES
650 $aZOONOSIS
653 $aCrocodilian
653 $aDiagnosis
653 $aPLATAFORMA SALUD ANIMAL
700 1 $aHAMOND, C.
700 1 $aDIAS, C.S.
700 1 $aCURVELO, V.P.
700 1 $aMEDEIROS, M.A.
700 1 $aORIÁ, A.P.
700 1 $aPINNA, M.H.
773 $tEcoHealth, 1 December 2019, Volume 16, Issue 4, Pages 694-700. Doi: 10.1007/s10393-019-01452-0
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INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
14/03/2022 |
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Actualizado : |
14/03/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
IRISARRI, J.G.N.; DURANTE, M.; DERNER, J.D.; OESTERHELD, M.; AUGUSTINE, D.J. |
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Afiliación : |
JORGE GONZALO N. IRISARRI, Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton EX20 2SB, UK; MARTÍN DURANTE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Estación Experimental Agropecuaria Concepción del Uruguay, Instituto Nacional de Tecnología Agropecuaria (INTA), Concepcion del Uruguay 3260, Argentina; JUSTIN D. DERNER, USDA-Agricultural Research Service (ARS), Rangeland Resources and Systems Research Unit, Cheyenne, WY 82009, USA; MARTIN OESTERHELD, Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura, Buenos Aires 1417, Argentina; DAVID J. AUGUSTINE, USDA-Agricultural Research Service (ARS), Rangeland Resources and Systems Research Unit, Fort Collins, CO 80526, USA. |
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Título : |
Remotely sensed spatiotemporal variation in crude protein of shortgrass steppe forage. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Remote Sensing, 2022, Volume 14, Issue 4, Article number 854. OPEN ACCESS. doi: https://doi.org/10.3390/rs14040854 |
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ISSN : |
2072-4292 |
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DOI : |
10.3390/rs14040854 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 4 January 2022; Revised: 28 January 2022; Accepted: 9 February 2022; Published: 11 February 2022.
Academic Editors: Matthew Reeves, Humberto L. Perotto-Baldivieso, Luciano A. Gonzalez and Edward C. Rhodes.
Corresponding author: Irisarri, J.G.N.; Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, United Kingdom; email:gonzalo.irisarri@rothamsted.ac.uk -- This article belongs to the Special Issue Applications of Remote Sensing for Livestock and Grazing Land Management: https://www.mdpi.com/journal/remotesensing/special_issues/Grazing_Land_Management --
Supplementary Materials: https://www.mdpi.com/article/10.3390/rs14040854/s1 |
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Contenido : |
ABSTRACT.- In the Great Plains of central North America, sustainable livestock production is dependent on matching the timing of forage availability and quality with animal intake demands. Advances in remote sensing technology provide accurate information for forage quantity. However, similar efforts for forage quality are lacking. Crude protein (CP) content is one of the most relevant forage quality determinants of individual animal intake, especially below an 8% threshold for growing animals. In a set of shortgrass steppe paddocks with contrasting botanical composition, we (1) modeled the spatiotemporal variation in field estimates of CP content against seven spectral MODIS bands, and (2) used the model to assess the risk of reaching the 8% CP content threshold during the grazing season for paddocks with light, moderate, or heavy grazing intensities for the last 22 years (2000?2021). Our calibrated model explained up to 69% of the spatiotemporal variation in CP content. Different from previous investigations, our model was partially independent of NDVI, as it included the green and red portions of the spectrum as direct predictors of CP content. From 2000 to 2021, the model predicted that CP content was a limiting factor for growth of yearling cattle in 80% of the years for about 60% of the mid-May to October grazing season. The risk of forage quality being below the CP content threshold increases as the grazing season progresses, suggesting that ranchers across this rangeland region could benefit from remotely sensed CP content to proactively remove yearling cattle earlier than the traditional October date or to strategically provide supplemental protein sources to grazing cattle. MenosABSTRACT.- In the Great Plains of central North America, sustainable livestock production is dependent on matching the timing of forage availability and quality with animal intake demands. Advances in remote sensing technology provide accurate information for forage quantity. However, similar efforts for forage quality are lacking. Crude protein (CP) content is one of the most relevant forage quality determinants of individual animal intake, especially below an 8% threshold for growing animals. In a set of shortgrass steppe paddocks with contrasting botanical composition, we (1) modeled the spatiotemporal variation in field estimates of CP content against seven spectral MODIS bands, and (2) used the model to assess the risk of reaching the 8% CP content threshold during the grazing season for paddocks with light, moderate, or heavy grazing intensities for the last 22 years (2000?2021). Our calibrated model explained up to 69% of the spatiotemporal variation in CP content. Different from previous investigations, our model was partially independent of NDVI, as it included the green and red portions of the spectrum as direct predictors of CP content. From 2000 to 2021, the model predicted that CP content was a limiting factor for growth of yearling cattle in 80% of the years for about 60% of the mid-May to October grazing season. The risk of forage quality being below the CP content threshold increases as the grazing season progresses, suggesting that ranchers across this range... Presentar Todo |
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Palabras claves : |
Crude protein threshold; Forage quality; MOD09A1; Remote sensing; Risk assessment; Semi-arid environment; Shortgrass rangeland. |
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Asunto categoría : |
-- |
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URL : |
https://www.mdpi.com/2072-4292/14/4/854/pdf
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Marc : |
LEADER 03289naa a2200289 a 4500
001 1062825
005 2022-03-14
008 2022 bl uuuu u00u1 u #d
022 $a2072-4292
024 7 $a10.3390/rs14040854$2DOI
100 1 $aIRISARRI, J.G.N.
245 $aRemotely sensed spatiotemporal variation in crude protein of shortgrass steppe forage.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 4 January 2022; Revised: 28 January 2022; Accepted: 9 February 2022; Published: 11 February 2022. Academic Editors: Matthew Reeves, Humberto L. Perotto-Baldivieso, Luciano A. Gonzalez and Edward C. Rhodes. Corresponding author: Irisarri, J.G.N.; Sustainable Agriculture Sciences, Rothamsted Research, North Wyke, Okehampton, United Kingdom; email:gonzalo.irisarri@rothamsted.ac.uk -- This article belongs to the Special Issue Applications of Remote Sensing for Livestock and Grazing Land Management: https://www.mdpi.com/journal/remotesensing/special_issues/Grazing_Land_Management -- Supplementary Materials: https://www.mdpi.com/article/10.3390/rs14040854/s1
520 $aABSTRACT.- In the Great Plains of central North America, sustainable livestock production is dependent on matching the timing of forage availability and quality with animal intake demands. Advances in remote sensing technology provide accurate information for forage quantity. However, similar efforts for forage quality are lacking. Crude protein (CP) content is one of the most relevant forage quality determinants of individual animal intake, especially below an 8% threshold for growing animals. In a set of shortgrass steppe paddocks with contrasting botanical composition, we (1) modeled the spatiotemporal variation in field estimates of CP content against seven spectral MODIS bands, and (2) used the model to assess the risk of reaching the 8% CP content threshold during the grazing season for paddocks with light, moderate, or heavy grazing intensities for the last 22 years (2000?2021). Our calibrated model explained up to 69% of the spatiotemporal variation in CP content. Different from previous investigations, our model was partially independent of NDVI, as it included the green and red portions of the spectrum as direct predictors of CP content. From 2000 to 2021, the model predicted that CP content was a limiting factor for growth of yearling cattle in 80% of the years for about 60% of the mid-May to October grazing season. The risk of forage quality being below the CP content threshold increases as the grazing season progresses, suggesting that ranchers across this rangeland region could benefit from remotely sensed CP content to proactively remove yearling cattle earlier than the traditional October date or to strategically provide supplemental protein sources to grazing cattle.
653 $aCrude protein threshold
653 $aForage quality
653 $aMOD09A1
653 $aRemote sensing
653 $aRisk assessment
653 $aSemi-arid environment
653 $aShortgrass rangeland
700 1 $aDURANTE, M.
700 1 $aDERNER, J.D.
700 1 $aOESTERHELD, M.
700 1 $aAUGUSTINE, D.J.
773 $tRemote Sensing, 2022, Volume 14, Issue 4, Article number 854. OPEN ACCESS. doi: https://doi.org/10.3390/rs14040854
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