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Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
Data corrente: |
15/03/2018 |
Data da última atualização: |
16/01/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PINTO, P. H. N.; BALARO, M. F. A.; SOUZA-FABJAN, J. M. G.; RIBEIRO, L. dos S.; BRAGANÇA, G. M.; LEITE, C. R.; ARASHIRO, E. K. N.; SILVA, K. de M.; FONSECA, J. F. da; BRANDÃO, F. Z. |
Afiliação: |
Pedro Henrique Nicolau Pinto, Universidade Federal Fluminense (UFF) - Niterói, RJ, Brazil; Mario Felipe Alvarez Balaro, Universidade Federal Fluminense (UFF) - Niterói, RJ, Brazil; Joanna Maria Gonçalves Souza-Fabjan, Universidade Federal Fluminense (UFF) - Niterói, RJ, Brazil; Lilian dos Santos Ribeiro, Universidade Federal Fluminense (UFF) - Niterói, RJ, Brazil; Glaucia Mota Bragança, Universidade Federal Fluminense (UFF) - Niterói, RJ, Brazil; Ceci Ribeiro Leite, Universidade Federal Fluminense (UFF) - Niterói, RJ, Brazil; Eduardo Kenji Nunes Arashiro, Universidade Federal Fluminense (UFF) - Niterói, RJ, Brazil; KLEIBE DE MORAES SILVA, CNPC; JEFERSON FERREIRA DA FONSECA, CNPC; Felipe Zandonadi Brandão, Universidade Federal Fluminense (UFF) - Niterói, RJ, Brazil. |
Título: |
Anti-Müllerian hormone and antral follicle count are more effective for selecting ewes with good potential for in vivo embryo production than the presence of FecGE mutation or eCG pre-selection tests. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Theriogenology, v. 113, p. 146-152, Feb. 2018. |
DOI: |
10.1016/j.theriogenology.2018.02.018 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: This study aims to compare four different methods for selecting high responding sheep donors for in vivo embryo production. These methods include a pre-selection eCG test (eCG), antral follicle count (AFC), plasma anti-Müllerian hormone measurement (AMH) and genotyping for the presence of the FecGE mutation (a polymorphism in the GDF9 gene associated with increased ovulation rate). Santa Ines ewe lambs (n = 25) underwent superovulation (SOV) with 800 IU equine chorionic gonadotropin (eCG) and the corpus luteum (CL) count was recorded by laparoscopy after eight days. At the D0eCG, blood samples for AMH and genotyping analysis were collected. Twenty-one days after the end of the eCG test, the same animals underwent SOV with 200 mg of FSH, administered in six decreasing doses, and then naturally mated. Immediately before the beginning of the FSH protocol (D0FSH), and at the moment of the first FSH dose (D9FSH), the AFC was assessed. Plasma AMH was again determined at the D9FSH. After each screening process, animals were classified as having a high (HR), or low (LR), potential of response (using specific thresholds for each method). Then, the ewes' response to SOV and embryo yield for each screening method, classified as HR or LR, were compared. Animals classified as HR by AFC (HRAFC) and by AMH concentration (HRAMH) at the D9FSH, produced more viable embryos than those classified as LRAFC and LRAMH (HRAFC 6.2 ± 3.2 vs LRAFC 2.8 ± 3.0 and HRAMH 6.6 ± 3.6 vs LRAMH 3.0 ± 2.9). Pre-selection tests with eCG and different FecGE genotypes, either heterozygous (+/E) or wild type (+/+), were unable to discriminate HR or LR animals. A tendency (P = 0.06) to have lower plasma AMH was observed in heterozygous FecGE (+/E) ewes. In conclusion, both AFC and plasma AMH can be used to select donor ewes with a higher potential of response for in vivo embryo production. MenosAbstract: This study aims to compare four different methods for selecting high responding sheep donors for in vivo embryo production. These methods include a pre-selection eCG test (eCG), antral follicle count (AFC), plasma anti-Müllerian hormone measurement (AMH) and genotyping for the presence of the FecGE mutation (a polymorphism in the GDF9 gene associated with increased ovulation rate). Santa Ines ewe lambs (n = 25) underwent superovulation (SOV) with 800 IU equine chorionic gonadotropin (eCG) and the corpus luteum (CL) count was recorded by laparoscopy after eight days. At the D0eCG, blood samples for AMH and genotyping analysis were collected. Twenty-one days after the end of the eCG test, the same animals underwent SOV with 200 mg of FSH, administered in six decreasing doses, and then naturally mated. Immediately before the beginning of the FSH protocol (D0FSH), and at the moment of the first FSH dose (D9FSH), the AFC was assessed. Plasma AMH was again determined at the D9FSH. After each screening process, animals were classified as having a high (HR), or low (LR), potential of response (using specific thresholds for each method). Then, the ewes' response to SOV and embryo yield for each screening method, classified as HR or LR, were compared. Animals classified as HR by AFC (HRAFC) and by AMH concentration (HRAMH) at the D9FSH, produced more viable embryos than those classified as LRAFC and LRAMH (HRAFC 6.2 ± 3.2 vs LRAFC 2.8 ± 3.0 and HRAMH 6.6 ± 3.6 vs LRAMH 3.0 ±... Mostrar Tudo |
Palavras-Chave: |
Donor animals; Donor selection; MOET; Raça Santa Inês. |
Thesagro: |
Ovelha; Ovino; Reprodução animal; Superovulação. |
Thesaurus Nal: |
Reproduction; Sheep; Superovulation. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 03040naa a2200373 a 4500 001 2089231 005 2019-01-16 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1016/j.theriogenology.2018.02.018$2DOI 100 1 $aPINTO, P. H. N. 245 $aAnti-Müllerian hormone and antral follicle count are more effective for selecting ewes with good potential for in vivo embryo production than the presence of FecGE mutation or eCG pre-selection tests. 260 $c2018 520 $aAbstract: This study aims to compare four different methods for selecting high responding sheep donors for in vivo embryo production. These methods include a pre-selection eCG test (eCG), antral follicle count (AFC), plasma anti-Müllerian hormone measurement (AMH) and genotyping for the presence of the FecGE mutation (a polymorphism in the GDF9 gene associated with increased ovulation rate). Santa Ines ewe lambs (n = 25) underwent superovulation (SOV) with 800 IU equine chorionic gonadotropin (eCG) and the corpus luteum (CL) count was recorded by laparoscopy after eight days. At the D0eCG, blood samples for AMH and genotyping analysis were collected. Twenty-one days after the end of the eCG test, the same animals underwent SOV with 200 mg of FSH, administered in six decreasing doses, and then naturally mated. Immediately before the beginning of the FSH protocol (D0FSH), and at the moment of the first FSH dose (D9FSH), the AFC was assessed. Plasma AMH was again determined at the D9FSH. After each screening process, animals were classified as having a high (HR), or low (LR), potential of response (using specific thresholds for each method). Then, the ewes' response to SOV and embryo yield for each screening method, classified as HR or LR, were compared. Animals classified as HR by AFC (HRAFC) and by AMH concentration (HRAMH) at the D9FSH, produced more viable embryos than those classified as LRAFC and LRAMH (HRAFC 6.2 ± 3.2 vs LRAFC 2.8 ± 3.0 and HRAMH 6.6 ± 3.6 vs LRAMH 3.0 ± 2.9). Pre-selection tests with eCG and different FecGE genotypes, either heterozygous (+/E) or wild type (+/+), were unable to discriminate HR or LR animals. A tendency (P = 0.06) to have lower plasma AMH was observed in heterozygous FecGE (+/E) ewes. In conclusion, both AFC and plasma AMH can be used to select donor ewes with a higher potential of response for in vivo embryo production. 650 $aReproduction 650 $aSheep 650 $aSuperovulation 650 $aOvelha 650 $aOvino 650 $aReprodução animal 650 $aSuperovulação 653 $aDonor animals 653 $aDonor selection 653 $aMOET 653 $aRaça Santa Inês 700 1 $aBALARO, M. F. A. 700 1 $aSOUZA-FABJAN, J. M. G. 700 1 $aRIBEIRO, L. dos S. 700 1 $aBRAGANÇA, G. M. 700 1 $aLEITE, C. R. 700 1 $aARASHIRO, E. K. N. 700 1 $aSILVA, K. de M. 700 1 $aFONSECA, J. F. da 700 1 $aBRANDÃO, F. Z. 773 $tTheriogenology$gv. 113, p. 146-152, Feb. 2018.
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Embrapa Caprinos e Ovinos (CNPC) |
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Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Semiárido. |
Data corrente: |
04/07/2022 |
Data da última atualização: |
04/07/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MELO, D. C. D.; ANACHE, J. A. A.; BORGES, V. P.; MIRALLES, D. G.; MARTENS, B.; FISHER, J. B.; NÓBREGA, R. L. B.; MORENO, A.; CABRAL, O. M. R.; RODRIGUES, T. R.; BEZERRA, B.; SILVA, C. M. S.; MEIRA NETO, A. A.; MOURA, M. S. B. de; MARQUES, T. V.; CAMPOS, S.; NOGUEIRA, J. S.; ROSOLEM, R.; SOUZA, R. M. S.; ANTONINO, A. C. D.; HOLL, D.; GALLEGUILLOS, M.; PEREZ-QUEZADA, J. F.; VERHOEF, A.; KUTZBACH, L.; LIMA, J. R. S.; SOUZA, E. S.; GASSMAN, M. I.; PEREZ, C. F.; TONTI, N.; POSSE, G.; RAINS, D.; OLIVEIRA, P. T. S.; WENDLAND, E. |
Afiliação: |
D. C. D. MELO, UFPB; J. A. A. ANACHE, UFMS; V. P. BORGES, UFPB; D. G. MIRALLES, Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, Belgium; B. MARTENS, Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, Belgium; J. B. FISHER, Schmid College of Science and Technology, Chapman University, Orange, CA; R. L. B. NÓBREGA, Department of Life Sciences, Imperial College London; A. MORENO, Numerical Terradynamic Simulation Group, University of Montana, Missoula, MT; OSVALDO MACHADO RODRIGUES CABRAL, CNPMA; T. R. RODRIGUES, UFMS; B. BEZERRA, UFRN; C. M. S. SILVA, UFRN; A. A. MEIRA NETO, Department of Hydrology and Atmospheric Sciences, The University of Arizona, Tucson, AZ; MAGNA SOELMA BESERRA DE MOURA, CPATSA; T. V. MARQUES, UFRN; S. CAMPOS, UFRN; J. S. NOGUEIRA, UFMT; R. ROSOLEM, University of Bristol, Bristol, UK; R. M. S. SOUZA, Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX; A. C. D. ANTONINO, UFPE; D. HOLL, Center for Earth System Research and Sustainability (CEN), Universität Hamburg, Hamburg, Germany; M. GALLEGUILLOS, Department of Environmental Science and Renewable Natural Resources, University of Chile, Santiago, Chile; J. F. PEREZ-QUEZADA, Department of Environmental Science and Renewable Natural Resources, University of Chile, Santiago, Chile; A. VERHOEF, Department of Geography and Environmental Science, The University of Reading, Reading, UK; L. KUTZBACH, Center for Earth System Research and Sustainability (CEN), Universität Hamburg, Hamburg, Germany; J. R. S. LIMA, Federal University of the Agreste of Pernambuco, Garanhuns, PE; E. S. SOUZA, UFRPE, Garanhuns, PE; M. I. GASSMAN, Department of Atmospheric and Ocean Sciences, FCEN — UBA, Buenos Aires, Argentina; C. F. PEREZ, Department of Atmospheric and Ocean Sciences, FCEN ? UBA, Buenos Aires, Argentina; N. TONTI, Department of Atmospheric and Ocean Sciences, FCEN — UBA, Buenos Aires, Argentina; G. POSSE, INTA; D. RAINS, Hydro-Climate Extremes Lab (H-CEL), Ghent University, Ghent, Belgium; P. T. S. OLIVEIRA, UFMS; E. WENDLAND, Department of Hydraulics and Sanitary Engineering, University of São Paulo, São Carlos, SP. |
Título: |
Are remote sensing evapotranspiration models reliable across South American ecoregions? |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Water Resources Research, v. 57, n. 11, e2020WR028752, 2021. |
DOI: |
https://doi.org/10.1029/2020WR028752 |
Idioma: |
Inglês |
Conteúdo: |
Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley?Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman?Monteith Mu model (PM-MOD), and Penman?Monteith Nagler model (PM-VI). E ET was predicted satisfactorily by all four models, with correlations consistently higher (?20.6ER) for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (?? ?1010EPBIAS%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America. MenosMany remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley?Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman?Monteith Mu model (PM-MOD), and Penman?Monteith Nagler model (PM-VI). E ET was predicted satisfactorily by all four models, with correlations consistently higher (?20.6ER) for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (?? ?1010EPBIAS%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account int... Mostrar Tudo |
Palavras-Chave: |
MODIS; Penman-Monteith; Priestley-Taylor. |
Thesagro: |
Evapotranspiração; Sensoriamento Remoto; Vegetação. |
Thesaurus NAL: |
Remote sensing. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 03247naa a2200613 a 4500 001 2144450 005 2022-07-04 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1029/2020WR028752$2DOI 100 1 $aMELO, D. C. D. 245 $aAre remote sensing evapotranspiration models reliable across South American ecoregions?$h[electronic resource] 260 $c2021 520 $aMany remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley?Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman?Monteith Mu model (PM-MOD), and Penman?Monteith Nagler model (PM-VI). E ET was predicted satisfactorily by all four models, with correlations consistently higher (?20.6ER) for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (?? ?1010EPBIAS%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America. 650 $aRemote sensing 650 $aEvapotranspiração 650 $aSensoriamento Remoto 650 $aVegetação 653 $aMODIS 653 $aPenman-Monteith 653 $aPriestley-Taylor 700 1 $aANACHE, J. A. A. 700 1 $aBORGES, V. P. 700 1 $aMIRALLES, D. G. 700 1 $aMARTENS, B. 700 1 $aFISHER, J. B. 700 1 $aNÓBREGA, R. L. B. 700 1 $aMORENO, A. 700 1 $aCABRAL, O. M. R. 700 1 $aRODRIGUES, T. R. 700 1 $aBEZERRA, B. 700 1 $aSILVA, C. M. S. 700 1 $aMEIRA NETO, A. A. 700 1 $aMOURA, M. S. B. de 700 1 $aMARQUES, T. V. 700 1 $aCAMPOS, S. 700 1 $aNOGUEIRA, J. S. 700 1 $aROSOLEM, R. 700 1 $aSOUZA, R. M. S. 700 1 $aANTONINO, A. C. D. 700 1 $aHOLL, D. 700 1 $aGALLEGUILLOS, M. 700 1 $aPEREZ-QUEZADA, J. F. 700 1 $aVERHOEF, A. 700 1 $aKUTZBACH, L. 700 1 $aLIMA, J. R. S. 700 1 $aSOUZA, E. S. 700 1 $aGASSMAN, M. I. 700 1 $aPEREZ, C. F. 700 1 $aTONTI, N. 700 1 $aPOSSE, G. 700 1 $aRAINS, D. 700 1 $aOLIVEIRA, P. T. S. 700 1 $aWENDLAND, E. 773 $tWater Resources Research$gv. 57, n. 11, e2020WR028752, 2021.
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