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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
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Data corrente: |
24/08/2017 |
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Data da última atualização: |
23/09/2019 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
ARASHIRO, E. K. N.; PINTO, P. H. N.; BRAGANÇA, G. M.; RIBEIRO, L. S.; BALARO, M. F. A.; FONSECA, J. F. da; BRANDÃO, F. Z. |
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Afiliação: |
Eduardo Kenji Nunes Arashiro, Universidade Federal Fluminense (UFF) - Niteroi, RJ, Brazil; Pedro Henrique Nicolau Pinto; Gláucia Mota Bragança; Lilian Santos Ribeiro; Mário Felipe Alvarez Balaro; JEFERSON FERREIRA DA FONSECA, CNPC; Felipe Zandonadi Brandao. |
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Título: |
Luteal vascularization as a tool for early pregnancy diagnosis in sheep is more efficient from day 17 post-insemination. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Animal Reprodroduction, v. 14, n. 3, p. 728, Jul./Sept. 2017. |
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Idioma: |
Inglês |
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Notas: |
Proceedings of the 31st Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Cabo de Santo Agostinho, PE, Brazil, August 17th to 19th, 2017. Abstracts |
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Conteúdo: |
The objective of the present study was to determine the efficiency of luteal vascularization assessment using color Doppler ultrasonography (US) as a tool for predictive pregnancy diagnosis and at which moment post-insemination this evaluation is more efficient. Adult Santa Inês ewes (n=28) with an average age, body weight, and body condition score of 3.0±1.2 years, 44.6±5.4Kg, and 3.0±0.2, respectively, were used. The animals were submitted to a FTAI protocol as previously described by Balaro et al. (Domest Anim Endocrinol, v.54, p.10, 2016). The AI (D0) was performed 56h alter sponge withdrawal using commercial frozen-thawed semen. Luteal vascularization was assessed by color Doppler US (PRF: 1.0 KHz, WF: 75 KHz) from D12 to D20 using a portable device equipped with a 7.5 MHz transducer. Luteal vascularization was classified using a subjective scale ranging from 1 to 4 (Bragança et al. Animal Reproduction, v.13, p.587, 2016). Females bearing a CL with vascularization graded as 2 or superior was presumably considered as pregnant. Pregnancy was confirmed at D30 by visualization of embryonic vesicle using B-Mode US and data was compared with predictive diagnoses performed from D12 to D20. The efficiency of color Doppler US was evaluated by calculating the percentage of false negative (FN) and false positive (FP) results and also sensitivity (SENS), specificity (SPEC), negative (NPV) and positive (PPV) predictive values, and accuracy (AC) of the technique. At D30, 11 females were confirmed as pregnant and 17 as non-pregnant. As expected, use of color Doppler from D12 to D14 was unfeasible to predict non-pregnant animals because all animals still had vascularized CL (pre-luteolysis period), and thus they were all considered as pregnant. From D15 to D17 the number of FP results progressively decreased, increasing the values observed for SPEC, PPV, and AC (SPEC=18%; PPV=44%; AC=50%; FP=50% for D15; SPEC=47%; PPV=55%; AC=68%; FP=32% for D16; SPEC=76%; PPV=73%; AC=86%; FP=14% for D17). Results did not change from D17 to D20. In The present study, four FP results remained until D20. However, CL in these 4 animals kept a vascularization grade equal or superior than 2 until D20, suggesting that failure to predict non-pregnant animals was due to early embryo lost from D20 to D30 and not due to technique limitation. It was not observed FN results, thus SENS and NPV remained constant from D15 to D20 (SENS=1, NPV=1). The present results demonstrated the efficiency of color Doppler US as a tool for early identification of non-pregnant animals from D15. However, due to occurrence of FP results, best results was observed were observed from D17. Acknowledgments: FAPERJ for financially support the project and provide scholarship for EKNA and FZB. MenosThe objective of the present study was to determine the efficiency of luteal vascularization assessment using color Doppler ultrasonography (US) as a tool for predictive pregnancy diagnosis and at which moment post-insemination this evaluation is more efficient. Adult Santa Inês ewes (n=28) with an average age, body weight, and body condition score of 3.0±1.2 years, 44.6±5.4Kg, and 3.0±0.2, respectively, were used. The animals were submitted to a FTAI protocol as previously described by Balaro et al. (Domest Anim Endocrinol, v.54, p.10, 2016). The AI (D0) was performed 56h alter sponge withdrawal using commercial frozen-thawed semen. Luteal vascularization was assessed by color Doppler US (PRF: 1.0 KHz, WF: 75 KHz) from D12 to D20 using a portable device equipped with a 7.5 MHz transducer. Luteal vascularization was classified using a subjective scale ranging from 1 to 4 (Bragança et al. Animal Reproduction, v.13, p.587, 2016). Females bearing a CL with vascularization graded as 2 or superior was presumably considered as pregnant. Pregnancy was confirmed at D30 by visualization of embryonic vesicle using B-Mode US and data was compared with predictive diagnoses performed from D12 to D20. The efficiency of color Doppler US was evaluated by calculating the percentage of false negative (FN) and false positive (FP) results and also sensitivity (SENS), specificity (SPEC), negative (NPV) and positive (PPV) predictive values, and accuracy (AC) of the technique. At D30, 11 females w... Mostrar Tudo |
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Palavras-Chave: |
Color Doppler; Luteal vasculatization; Santa Inês; Ultra-Som; Vascularização. |
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Thesagro: |
Corpo lúteo; Diagnóstico; Ovelha; Ovino; Prenhez; Reprodução animal. |
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Thesaurus Nal: |
Artificial insemination; Corpus luteum; Ewes; Pregnancy diagnosis; Reproduction; Sheep; Ultrasonography. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163004/1/cnpc-2017-Luteal.pdf
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Marc: |
LEADER 04104nam a2200409 a 4500
001 2074424
005 2019-09-23
008 2017 bl uuuu u00u1 u #d
100 1 $aARASHIRO, E. K. N.
245 $aLuteal vascularization as a tool for early pregnancy diagnosis in sheep is more efficient from day 17 post-insemination.$h[electronic resource]
260 $aAnimal Reprodroduction, v. 14, n. 3, p. 728, Jul./Sept. 2017.$c2017
500 $aProceedings of the 31st Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Cabo de Santo Agostinho, PE, Brazil, August 17th to 19th, 2017. Abstracts
520 $aThe objective of the present study was to determine the efficiency of luteal vascularization assessment using color Doppler ultrasonography (US) as a tool for predictive pregnancy diagnosis and at which moment post-insemination this evaluation is more efficient. Adult Santa Inês ewes (n=28) with an average age, body weight, and body condition score of 3.0±1.2 years, 44.6±5.4Kg, and 3.0±0.2, respectively, were used. The animals were submitted to a FTAI protocol as previously described by Balaro et al. (Domest Anim Endocrinol, v.54, p.10, 2016). The AI (D0) was performed 56h alter sponge withdrawal using commercial frozen-thawed semen. Luteal vascularization was assessed by color Doppler US (PRF: 1.0 KHz, WF: 75 KHz) from D12 to D20 using a portable device equipped with a 7.5 MHz transducer. Luteal vascularization was classified using a subjective scale ranging from 1 to 4 (Bragança et al. Animal Reproduction, v.13, p.587, 2016). Females bearing a CL with vascularization graded as 2 or superior was presumably considered as pregnant. Pregnancy was confirmed at D30 by visualization of embryonic vesicle using B-Mode US and data was compared with predictive diagnoses performed from D12 to D20. The efficiency of color Doppler US was evaluated by calculating the percentage of false negative (FN) and false positive (FP) results and also sensitivity (SENS), specificity (SPEC), negative (NPV) and positive (PPV) predictive values, and accuracy (AC) of the technique. At D30, 11 females were confirmed as pregnant and 17 as non-pregnant. As expected, use of color Doppler from D12 to D14 was unfeasible to predict non-pregnant animals because all animals still had vascularized CL (pre-luteolysis period), and thus they were all considered as pregnant. From D15 to D17 the number of FP results progressively decreased, increasing the values observed for SPEC, PPV, and AC (SPEC=18%; PPV=44%; AC=50%; FP=50% for D15; SPEC=47%; PPV=55%; AC=68%; FP=32% for D16; SPEC=76%; PPV=73%; AC=86%; FP=14% for D17). Results did not change from D17 to D20. In The present study, four FP results remained until D20. However, CL in these 4 animals kept a vascularization grade equal or superior than 2 until D20, suggesting that failure to predict non-pregnant animals was due to early embryo lost from D20 to D30 and not due to technique limitation. It was not observed FN results, thus SENS and NPV remained constant from D15 to D20 (SENS=1, NPV=1). The present results demonstrated the efficiency of color Doppler US as a tool for early identification of non-pregnant animals from D15. However, due to occurrence of FP results, best results was observed were observed from D17. Acknowledgments: FAPERJ for financially support the project and provide scholarship for EKNA and FZB.
650 $aArtificial insemination
650 $aCorpus luteum
650 $aEwes
650 $aPregnancy diagnosis
650 $aReproduction
650 $aSheep
650 $aUltrasonography
650 $aCorpo lúteo
650 $aDiagnóstico
650 $aOvelha
650 $aOvino
650 $aPrenhez
650 $aReprodução animal
653 $aColor Doppler
653 $aLuteal vasculatization
653 $aSanta Inês
653 $aUltra-Som
653 $aVascularização
700 1 $aPINTO, P. H. N.
700 1 $aBRAGANÇA, G. M.
700 1 $aRIBEIRO, L. S.
700 1 $aBALARO, M. F. A.
700 1 $aFONSECA, J. F. da
700 1 $aBRANDÃO, F. Z.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
09/01/2019 |
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Data da última atualização: |
21/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
GONÇALVES, R. R. do V.; ZULLO, J.; ROMANI, L. A. S.; AMARAL, B. F. do; SOUSA, E. P. M. |
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Afiliação: |
RENATA RIBEIRO DO VALLE GONÇALVES, Unicamp; JURANDIR ZULLO JUNIOR, UNICAMP; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; BRUNO FERRAZ DO AMARAL, USP, São Carlos, SP; ELAINE PARROS MACHADO SOUSA, USP, São Carlos, SP. |
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Título: |
Agricultural monitoring using clustering techniques on satellite image time series of low spatial resolution. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES, 9., 2017, Brugge. Proceedings... Piscataway: IEEE, 2017. |
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Páginas: |
4 p. |
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ISBN: |
978-1-5386-3327-4 |
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DOI: |
10.1109/Multi-Temp.2017.8035234 |
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Idioma: |
Inglês |
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Notas: |
MultiTemp 2017. |
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Conteúdo: |
Abstract: This paper discuss how to use the clustering analysis to discover and extract useful information from multi-temporal satellite images with low spatial resolution to improve the agricultural monitoring of sugarcane fields. A large database of satellite images and specific software were used to perform the images pre-processing, time series extraction, clustering method applying and data visualization on several steps throughout the analysis process. The pre-processing phase corresponded to an accurate geometric correction, which is a requirement for applications of time series of satellite images such as the agricultural monitoring. Other steps in the analysis process were accomplished by a graphical interface to improve the interaction with the users. Approach validation was done using NDVI images of sugarcane fields because of their economic importance as source of ethanol and as effective alternative to replace fossil fuels and mitigate greenhouse gases emissions. According to the analysis done, the methodology allowed to identify areas with similar agricultural development patterns, also considering different growing seasons for the crops, covering monthly and annual periods. Results confirm that satellite images of low spatial resolution, such as that from the AVHRR/NOAA sensors, can indeed be satisfactorily used to monitor agricultural crops in regional scale. |
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Thesaurus NAL: |
Cluster investigation; Time series analysis. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02219nam a2200229 a 4500
001 2103404
005 2020-01-21
008 2017 bl uuuu u00u1 u #d
020 $a978-1-5386-3327-4
024 7 $a10.1109/Multi-Temp.2017.8035234$2DOI
100 1 $aGONÇALVES, R. R. do V.
245 $aAgricultural monitoring using clustering techniques on satellite image time series of low spatial resolution.$h[electronic resource]
260 $aIn: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES, 9., 2017, Brugge. Proceedings... Piscataway: IEEE$c2017
300 $a4 p.
500 $aMultiTemp 2017.
520 $aAbstract: This paper discuss how to use the clustering analysis to discover and extract useful information from multi-temporal satellite images with low spatial resolution to improve the agricultural monitoring of sugarcane fields. A large database of satellite images and specific software were used to perform the images pre-processing, time series extraction, clustering method applying and data visualization on several steps throughout the analysis process. The pre-processing phase corresponded to an accurate geometric correction, which is a requirement for applications of time series of satellite images such as the agricultural monitoring. Other steps in the analysis process were accomplished by a graphical interface to improve the interaction with the users. Approach validation was done using NDVI images of sugarcane fields because of their economic importance as source of ethanol and as effective alternative to replace fossil fuels and mitigate greenhouse gases emissions. According to the analysis done, the methodology allowed to identify areas with similar agricultural development patterns, also considering different growing seasons for the crops, covering monthly and annual periods. Results confirm that satellite images of low spatial resolution, such as that from the AVHRR/NOAA sensors, can indeed be satisfactorily used to monitor agricultural crops in regional scale.
650 $aCluster investigation
650 $aTime series analysis
700 1 $aZULLO, J.
700 1 $aROMANI, L. A. S.
700 1 $aAMARAL, B. F. do
700 1 $aSOUSA, E. P. M.
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Embrapa Agricultura Digital (CNPTIA) |
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