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|
Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Ocidental. |
Data corrente: |
15/10/2019 |
Data da última atualização: |
16/10/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SCHEPASCHENKO, D.; CHAVE, J.; PHILLIPS, O. L.; LEWIS, S. L.; DAVIES, S. J.; RÉJOU-MÉCHAIN, M.; SIST, P.; SCIPAL, K.; PERGER, C.; HERAULT, B.; LABRIÈRE, N.; HOFHANSL, F.; AFFUM-BAFFOE, K.; ALEINIKOV, A.; ALONSO, A.; AMANI, C.; ARAUJO-MURAKAMI, A.; ARMSTON, J.; ARROYO, L.; ASCARRUNZ, N.; AZEVEDO, C. P. de; BAKER, T.; BALAZY, R.; BEDEAU, C.; BERRY, N.; BILOUS, A. M.; BILOUS, S. Y.; BISSIENGOU, P.; BLANC, L.; BOBKOVA, K. S.; BRASLAVSKAYA, T.; BRIENEN, R.; BURSLEM, D. F. R. P.; CONDIT, R.; CUNI-SANCHEZ, A.; DANILINA, D.; TORRES, D. del C.; DERROIRE, G.; DESCROIX, L.; SOTTA, E. D.; OLIVEIRA, M. V. N. d'; DRESEL, C.; ERWIN, T.; EVDOKIMENKO, M. D.; FALCK, J.; FELDPAUSCH, T. R.; FOLI, E. G.; FOSTER, R.; FRITZ, S.; GARCIA-ABRIL, A. D.; GORNOV, A.; GORNOVA, M.; GOTHARD-BASSÉBÉ, E.; GOURLET-FLEURY, S.; GUEDES, M. C.; HAMER, K. C.; SUSANTY, F. H.; HIGUCHI, N.; CORONADO, E. N. H.; HUBAU, W.; HUBBELL, S.; ILSTEDT, U.; IVANOV, V. V.; KANASHIRO, M.; KARLSSON, A.; KARMINOV, V. N.; KILLEEN, T.; KOFFI, J. C. K.; KONOVALOVA, M.; KRAXNER, F.; KREJZA, J.; KRISNAWATI, H.; KRIVOBOKOV, L. V.; KUZNETSOV, M. A.; LAKYDA, I.; LAKYDA, P. I.; LICONA, J. C.; LUCAS, R. M.; LUKINA, N.; LUSSETTI, D.; MALHI, Y.; MANZANERA, J. A.; MARIMON, B.; MARIMON JUNIOR, B. H.; VASQUEZ MARTINEZ, R.; MARTYNENKO, O. V.; MATSALA, M.; MATYASHUK, R. K.; FREITAS, L. J. M. de; MEMIAGHE, H.; MENDOZA, C.; MONTEAGUDO MENDONZA, A.; MOROZIUK, O. V.; MUKHORTOVA, L.; MUSA, S.; NAZIMOVA, D. I.; OKUDA, T.; OLIVEIRA, L. C. de; ONTIKOV, P. V.; OSIPOV, A. F.; PIETSCH, S.; PLAYFAIR, M.; POULSEN, J.; RADCHENKO, V. G.; RODNEY, K.; ROZAK, A. H.; RUSCHEL, A. R.; RUTISHAUSER, E.; SEE, L.; SHCHEPASHCHENKO, M.; SHEVCHENKO, N.; SHVIDENKO, A.; SILVEIRA, M.; SINGH, J.; SONKÉ, B.; SOUZA, C. R. de; STERENCZAK, K.; STONOZHENKO, L.; SULLIVAN, M. J. P.; SZATNIEWSKA, J.; TAEDOUMG, H.; TER STEEGE, H.; TIKHONOVA, E.; TOLEDO, M.; TREFILOVA, O. V.; VALBUENA, R.; VALENZUELA GAMARRA, L.; VASILIEV, S.; VEDROVA, E. F.; VERHOVETS, S. V.; VIDAL, E.; VLADIMIROVA, N. A.; VLEMINCKX, J.; VOS, V. A.; VOZMITEL, F. K.; WANEK, W.; WEST, T. A. P.; WOELL, H.; WOODS, J. T.; WORTEL, V.; YAMADA, T.; HAJAR, Z. S. N.; ZO-BI, I. C. |
Afiliação: |
DMITRY SCHEPASCHENKO; JÉRÔME CHAVE; OLIVER L. PHILLIPS; SIMON L. LEWIS; STUART J. DAVIES; MAXIME RÉJOU-MÉCHAIN; PLINIO SIST; KLAUS SCIPAL; CHRISTOPH PERGER; BRUNO HERAULT; NICOLAS LABRIÈRE; FLORIAN HOFHANSL; KOFI AFFUM-BAFFOE; ALEXEI ALEINIKOV; ALFONSO ALONSO; CHRISTIAN AMANI; ALEJANDRO ARAUJO-MURAKAMI; JOHN ARMSTON; LUZMILA ARROYO; NATALY ASCARRUNZ; CELSO PAULO DE AZEVEDO, CPAA; TIMOTHY BAKER; RADOMIR BALAZY; CAROLINE BEDEAU; NICHOLAS BERRY; ANDRII M. BILOUS; SVITLANA YU. BILOUS; PULCHÉRIE BISSIENGOU; LILIAN BLANC; KAPITOLINA S. BOBKOVA; TATYANA BRASLAVSKAYA; ROEL BRIENEN; DAVID F. R. P. BURSLEM; RICHARD CONDIT; AIDA CUNI-SANCHEZ; DILSHAD DANILINA; DENNIS DEL CASTILLO TORRES; GÉRALDINE DERROIRE; LAURENT DESCROIX; ELENEIDE DOFF SOTTA; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; CHRISTOPHER DRESEL; TERRY ERWIN; MIKHAIL D. EVDOKIMENKO; JAN FALCK; TED R. FELDPAUSCH; ERNEST G. FOLI; ROBIN FOSTER; STEFFEN FRITZ; ANTONIO DAMIAN GARCIA-ABRIL; ALEKSEY GORNOV; MARIA GORNOVA; ERNEST GOTHARD-BASSÉBÉ; SYLVIE GOURLET-FLEURY; MARCELINO CARNEIRO GUEDES, CPAF-AP; KEITH C. HAMER; FARIDA HERRY SUSANTY; NIRO HIGUCHI; EURÍDICE N. HONORIO CORONADO; WANNES HUBAU; STEPHEN HUBBELL; ULRIK ILSTEDT; VIKTOR V. IVANOV; MILTON KANASHIRO, CPATU; ANDERS KARLSSON; VIKTOR N. KARMINOV; TIMOTHY KILLEEN; JEAN-CLAUDE KONAN KOFFI; MARIA KONOVALOVA; FLORIAN KRAXNER; JAN KREJZA; HARUNI KRISNAWATI; LEONID V. KRIVOBOKOV; MIKHAIL A. KUZNETSOV; IVAN LAKYDA; PETRO I. LAKYDA; JUAN CARLOS LICONA; RICHARD M. LUCAS; NATALIA LUKINA; DANIEL LUSSETTI; YADVINDER MALHI; JOSÉ ANTONIO MANZANERA; BEATRIZ MARIMON; BEN HUR MARIMON JUNIOR; RODOLFO VASQUEZ MARTINEZ; OLGA V. MARTYNENKO; MAKSYM MATSALA; RAISA K. MATYASHUK; LUCAS JOSE MAZZEI DE FREITAS, CPATU; HERVÉ MEMIAGHE; CASIMIRO MENDOZA; ABEL MONTEAGUDO MENDOZA; OLGA V. MOROZIUK; LIUDMILA MUKHORTOVA; SAMSUDIN MUSA; DINA I. NAZIMOVA; TOSHINORI OKUDA; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; PETR V. ONTIKOV; ANDREY F. OSIPOV; STEPHAN PIETSCH; MAUREEN PLAYFAIR; JOHN POULSEN; VLADIMIR G. RADCHENKO; KENNETH RODNEY; ANDES H. ROZAK; ADEMIR ROBERTO RUSCHEL, CPATU; ERVAN RUTISHAUSER; LINDA SEE; MARIA SHCHEPASHCHENKO; NIKOLAY SHEVCHENKO; ANATOLY SHVIDENKO; MARCOS SILVEIRA; JAMES SINGH; BONAVENTURE SONKÉ; CINTIA RODRIGUES DE SOUZA, CPAA; KRZYSZTOF STERENCZAK; LEONID STONOZHENKO; MARTIN J. P. SULLIVAN; JUSTYNA SZATNIEWSKA; HERMANN TAEDOUMG; HANS TER STEEGE; ELENA TIKHONOVA; MARISOL TOLEDO; OLGA V. TREFILOVA; RUBEN VALBUENA; LUIS VALENZUELA GAMARRA; SERGEY VASILIEV; ESTELLA F. VEDROVA; SERGEY V. VERHOVETS; EDSON VIDAL; NADEZHDA A. VLADIMIROVA; JASON VLEMINCKX; VINCENT A. VOS; FOMA K. VOZMITEL; WOLFGANG WANEK; THALES A. P. WEST; HANNSJORG WOELL; JOHN T. WOODS; VERGINIA WORTEL; TOSHIHIRO YAMADA; ZAMAH SHARI NUR HAJAR; IRIÉ CASIMIR ZO-BI. |
Título: |
The forest observation system, building a global reference dataset for remote sensing of forest biomass. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Scientific Data, v. 6, n. 198, p. 1-11, 2019. |
DOI: |
https://doi.org/10.1038/s41597-019-0196-1 |
Idioma: |
Inglês |
Conteúdo: |
Forest biomass is an essential indicator for monitoring the Earth?s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. |
Thesagro: |
Biomassa; Sensoriamento Remoto. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/202898/1/Nature-Schepaschenko-Biomassa.pdf
|
Marc: |
LEADER 05124naa a2201861 a 4500 001 2113119 005 2019-10-16 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1038/s41597-019-0196-1$2DOI 100 1 $aSCHEPASCHENKO, D. 245 $aThe forest observation system, building a global reference dataset for remote sensing of forest biomass.$h[electronic resource] 260 $c2019 520 $aForest biomass is an essential indicator for monitoring the Earth?s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. 650 $aBiomassa 650 $aSensoriamento Remoto 700 1 $aCHAVE, J. 700 1 $aPHILLIPS, O. L. 700 1 $aLEWIS, S. L. 700 1 $aDAVIES, S. J. 700 1 $aRÉJOU-MÉCHAIN, M. 700 1 $aSIST, P. 700 1 $aSCIPAL, K. 700 1 $aPERGER, C. 700 1 $aHERAULT, B. 700 1 $aLABRIÈRE, N. 700 1 $aHOFHANSL, F. 700 1 $aAFFUM-BAFFOE, K. 700 1 $aALEINIKOV, A. 700 1 $aALONSO, A. 700 1 $aAMANI, C. 700 1 $aARAUJO-MURAKAMI, A. 700 1 $aARMSTON, J. 700 1 $aARROYO, L. 700 1 $aASCARRUNZ, N. 700 1 $aAZEVEDO, C. P. de 700 1 $aBAKER, T. 700 1 $aBALAZY, R. 700 1 $aBEDEAU, C. 700 1 $aBERRY, N. 700 1 $aBILOUS, A. M. 700 1 $aBILOUS, S. Y. 700 1 $aBISSIENGOU, P. 700 1 $aBLANC, L. 700 1 $aBOBKOVA, K. S. 700 1 $aBRASLAVSKAYA, T. 700 1 $aBRIENEN, R. 700 1 $aBURSLEM, D. F. R. P. 700 1 $aCONDIT, R. 700 1 $aCUNI-SANCHEZ, A. 700 1 $aDANILINA, D. 700 1 $aTORRES, D. del C. 700 1 $aDERROIRE, G. 700 1 $aDESCROIX, L. 700 1 $aSOTTA, E. D. 700 1 $aOLIVEIRA, M. V. N. d' 700 1 $aDRESEL, C. 700 1 $aERWIN, T. 700 1 $aEVDOKIMENKO, M. D. 700 1 $aFALCK, J. 700 1 $aFELDPAUSCH, T. R. 700 1 $aFOLI, E. G. 700 1 $aFOSTER, R. 700 1 $aFRITZ, S. 700 1 $aGARCIA-ABRIL, A. D. 700 1 $aGORNOV, A. 700 1 $aGORNOVA, M. 700 1 $aGOTHARD-BASSÉBÉ, E. 700 1 $aGOURLET-FLEURY, S. 700 1 $aGUEDES, M. C. 700 1 $aHAMER, K. C. 700 1 $aSUSANTY, F. H. 700 1 $aHIGUCHI, N. 700 1 $aCORONADO, E. N. H. 700 1 $aHUBAU, W. 700 1 $aHUBBELL, S. 700 1 $aILSTEDT, U. 700 1 $aIVANOV, V. V. 700 1 $aKANASHIRO, M. 700 1 $aKARLSSON, A. 700 1 $aKARMINOV, V. N. 700 1 $aKILLEEN, T. 700 1 $aKOFFI, J. C. K. 700 1 $aKONOVALOVA, M. 700 1 $aKRAXNER, F. 700 1 $aKREJZA, J. 700 1 $aKRISNAWATI, H. 700 1 $aKRIVOBOKOV, L. V. 700 1 $aKUZNETSOV, M. A. 700 1 $aLAKYDA, I. 700 1 $aLAKYDA, P. I. 700 1 $aLICONA, J. C. 700 1 $aLUCAS, R. M. 700 1 $aLUKINA, N. 700 1 $aLUSSETTI, D. 700 1 $aMALHI, Y. 700 1 $aMANZANERA, J. A. 700 1 $aMARIMON, B. 700 1 $aMARIMON JUNIOR, B. H. 700 1 $aVASQUEZ MARTINEZ, R. 700 1 $aMARTYNENKO, O. V. 700 1 $aMATSALA, M. 700 1 $aMATYASHUK, R. K. 700 1 $aFREITAS, L. J. M. de 700 1 $aMEMIAGHE, H. 700 1 $aMENDOZA, C. 700 1 $aMONTEAGUDO MENDONZA, A. 700 1 $aMOROZIUK, O. V. 700 1 $aMUKHORTOVA, L. 700 1 $aMUSA, S. 700 1 $aNAZIMOVA, D. I. 700 1 $aOKUDA, T. 700 1 $aOLIVEIRA, L. C. de 700 1 $aONTIKOV, P. V. 700 1 $aOSIPOV, A. F. 700 1 $aPIETSCH, S. 700 1 $aPLAYFAIR, M. 700 1 $aPOULSEN, J. 700 1 $aRADCHENKO, V. G. 700 1 $aRODNEY, K. 700 1 $aROZAK, A. H. 700 1 $aRUSCHEL, A. R. 700 1 $aRUTISHAUSER, E. 700 1 $aSEE, L. 700 1 $aSHCHEPASHCHENKO, M. 700 1 $aSHEVCHENKO, N. 700 1 $aSHVIDENKO, A. 700 1 $aSILVEIRA, M. 700 1 $aSINGH, J. 700 1 $aSONKÉ, B. 700 1 $aSOUZA, C. R. de 700 1 $aSTERENCZAK, K. 700 1 $aSTONOZHENKO, L. 700 1 $aSULLIVAN, M. J. P. 700 1 $aSZATNIEWSKA, J. 700 1 $aTAEDOUMG, H. 700 1 $aTER STEEGE, H. 700 1 $aTIKHONOVA, E. 700 1 $aTOLEDO, M. 700 1 $aTREFILOVA, O. V. 700 1 $aVALBUENA, R. 700 1 $aVALENZUELA GAMARRA, L. 700 1 $aVASILIEV, S. 700 1 $aVEDROVA, E. F. 700 1 $aVERHOVETS, S. V. 700 1 $aVIDAL, E. 700 1 $aVLADIMIROVA, N. A. 700 1 $aVLEMINCKX, J. 700 1 $aVOS, V. A. 700 1 $aVOZMITEL, F. K. 700 1 $aWANEK, W. 700 1 $aWEST, T. A. P. 700 1 $aWOELL, H. 700 1 $aWOODS, J. T. 700 1 $aWORTEL, V. 700 1 $aYAMADA, T. 700 1 $aHAJAR, Z. S. N. 700 1 $aZO-BI, I. C. 773 $tScientific Data$gv. 6, n. 198, p. 1-11, 2019.
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Embrapa Amazônia Ocidental (CPAA) |
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Registro Completo
Biblioteca(s): |
Embrapa Pantanal. |
Data corrente: |
26/11/2015 |
Data da última atualização: |
18/11/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
NOGUEIRA, E.; SILVA, M. R.; SILVA, J. C. B.; ABREU, U. G. P. de; ANACHE, N. A.; SILVA, K. C.; CARDOSO, C. J. T.; SUTOVSKY, P.; RODRIGUES, W. B. |
Afiliação: |
ERIKLIS NOGUEIRA, CPAP; M. R. SILVA, MELHORE ANIMAL CONSULTORIA LTDA; JULIANA CORREA BORGES SILVA, CPAP; URBANO GOMES PINTO DE ABREU, CPAP; NATALIA ALBANESE ANACHE, UFMS; KARINE CASANOVA DA SILVA, UFMS; C. J. T. CARDOSO, UFMS; P. SUTOVSKY, UNIVERSITY OF MISSOURI; W. B. RODRIGUES, MELHORE ANIMAL CONSULTORIA LTDA. |
Título: |
Timed artificial insemination plus heat I: effect of estrus expression scores on pregnancy of cows subjected to progesterone-estradiol-based protocols. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Animal, v. 13, n. 10, p. 2305-2312, 2019. |
DOI: |
10.1017/S1751731119000442 |
Idioma: |
Inglês |
Conteúdo: |
Expression of estrus near timed artificial insemination (TAI) is associated with greater fertility, and estrus detection could improve TAI fertility or direct TAI management, although accurate estrus detection can be difficult and time-consuming using traditional methods. The aim of this study is to evaluate influence of estrus on pregnancy (artificial insemination pregnancy rates (P/AI)) and to validate an alternative method to classify estrus/heat expression using tail chalking (HEATSC) in postpartum Bos indicus cows subjected to TAI in progesterone?estrogen-based protocols. In experiment 1 (Exp. 1), cows (5491) were subjected to visual observation of estrus after progesterone device removal, before TAI, and P/AI was evaluated according to estrus and body condition score (BCS). Cows received a progesterone device and 2mg estradiol benzoate (EB). After 8 days, the device was removed and 150 ?g of D-cloprostenol and 300 IU equine chorionic gonadotrophin was given. Later, animals in Exp. 1 received 1mg EB and TAI 44 to 48 h. In the Exp. 2 ? 3830 cows using similar protocol, received different ovulation inducers: 1mg EB (n=1624) or 1mg estradiol cypionate (EC; n=2206) on day 8 (D8). Cows were then marked with chalk, and HEATSC evaluated at TAI on D10 (HEATSC1 ? no chalk removal =no estrus expression; HEATSC2 ? partial chalk removal =low estrus expression; HEATSC3 ? near complete/complete chalk removal =high estrus expression). In Exp. 1, cows showing estrus presented greater P/AI (48.4% v. 40.2%, P<0.05). In Exp. 2, P/AI (HEATSC1 ? 40.0%; HEATSC2 ? 49.7%; HEATSC3 ? 60.9%; P<0.001), and larger follicle timed artificial insemination (LFTAI) (<0.001) varied according to HEATSC. There was no difference in P/AI ( P=0.41) or LFTAI ( P=0.33) according to ovulation inducer. Cows with greater BCS showed greater P/AI in both experiments ( P<0.05). Estrus presence and greater HEATSC improved P/AI, and EC v. EB used promoted differential estrus manifestation (cows showing HEATSC2 and HEATSC3: 79.5% with EB v. 69.98% with EC use, P<0.001), however, with similar P/AI. The use of HEATSC in B. indicus cows subjected to TAI is useful to identify cows with greater estrus expression and consequently improved pregnancy rates in TAI, allowing the cows with low HEATSC to be targeted for additional treatments aimed at improving P/AI. MenosExpression of estrus near timed artificial insemination (TAI) is associated with greater fertility, and estrus detection could improve TAI fertility or direct TAI management, although accurate estrus detection can be difficult and time-consuming using traditional methods. The aim of this study is to evaluate influence of estrus on pregnancy (artificial insemination pregnancy rates (P/AI)) and to validate an alternative method to classify estrus/heat expression using tail chalking (HEATSC) in postpartum Bos indicus cows subjected to TAI in progesterone?estrogen-based protocols. In experiment 1 (Exp. 1), cows (5491) were subjected to visual observation of estrus after progesterone device removal, before TAI, and P/AI was evaluated according to estrus and body condition score (BCS). Cows received a progesterone device and 2mg estradiol benzoate (EB). After 8 days, the device was removed and 150 ?g of D-cloprostenol and 300 IU equine chorionic gonadotrophin was given. Later, animals in Exp. 1 received 1mg EB and TAI 44 to 48 h. In the Exp. 2 ? 3830 cows using similar protocol, received different ovulation inducers: 1mg EB (n=1624) or 1mg estradiol cypionate (EC; n=2206) on day 8 (D8). Cows were then marked with chalk, and HEATSC evaluated at TAI on D10 (HEATSC1 ? no chalk removal =no estrus expression; HEATSC2 ? partial chalk removal =low estrus expression; HEATSC3 ? near complete/complete chalk removal =high estrus expression). In Exp. 1, cows showing estrus presented greater P... Mostrar Tudo |
Palavras-Chave: |
Follicle; Heat score. |
Thesagro: |
Bos Indicus. |
Thesaurus NAL: |
Artificial insemination; Reproduction. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 03245naa a2200289 a 4500 001 2029630 005 2019-11-18 008 2019 bl uuuu u00u1 u #d 024 7 $a10.1017/S1751731119000442$2DOI 100 1 $aNOGUEIRA, E. 245 $aTimed artificial insemination plus heat I$beffect of estrus expression scores on pregnancy of cows subjected to progesterone-estradiol-based protocols.$h[electronic resource] 260 $c2019 520 $aExpression of estrus near timed artificial insemination (TAI) is associated with greater fertility, and estrus detection could improve TAI fertility or direct TAI management, although accurate estrus detection can be difficult and time-consuming using traditional methods. The aim of this study is to evaluate influence of estrus on pregnancy (artificial insemination pregnancy rates (P/AI)) and to validate an alternative method to classify estrus/heat expression using tail chalking (HEATSC) in postpartum Bos indicus cows subjected to TAI in progesterone?estrogen-based protocols. In experiment 1 (Exp. 1), cows (5491) were subjected to visual observation of estrus after progesterone device removal, before TAI, and P/AI was evaluated according to estrus and body condition score (BCS). Cows received a progesterone device and 2mg estradiol benzoate (EB). After 8 days, the device was removed and 150 ?g of D-cloprostenol and 300 IU equine chorionic gonadotrophin was given. Later, animals in Exp. 1 received 1mg EB and TAI 44 to 48 h. In the Exp. 2 ? 3830 cows using similar protocol, received different ovulation inducers: 1mg EB (n=1624) or 1mg estradiol cypionate (EC; n=2206) on day 8 (D8). Cows were then marked with chalk, and HEATSC evaluated at TAI on D10 (HEATSC1 ? no chalk removal =no estrus expression; HEATSC2 ? partial chalk removal =low estrus expression; HEATSC3 ? near complete/complete chalk removal =high estrus expression). In Exp. 1, cows showing estrus presented greater P/AI (48.4% v. 40.2%, P<0.05). In Exp. 2, P/AI (HEATSC1 ? 40.0%; HEATSC2 ? 49.7%; HEATSC3 ? 60.9%; P<0.001), and larger follicle timed artificial insemination (LFTAI) (<0.001) varied according to HEATSC. There was no difference in P/AI ( P=0.41) or LFTAI ( P=0.33) according to ovulation inducer. Cows with greater BCS showed greater P/AI in both experiments ( P<0.05). Estrus presence and greater HEATSC improved P/AI, and EC v. EB used promoted differential estrus manifestation (cows showing HEATSC2 and HEATSC3: 79.5% with EB v. 69.98% with EC use, P<0.001), however, with similar P/AI. The use of HEATSC in B. indicus cows subjected to TAI is useful to identify cows with greater estrus expression and consequently improved pregnancy rates in TAI, allowing the cows with low HEATSC to be targeted for additional treatments aimed at improving P/AI. 650 $aArtificial insemination 650 $aReproduction 650 $aBos Indicus 653 $aFollicle 653 $aHeat score 700 1 $aSILVA, M. R. 700 1 $aSILVA, J. C. B. 700 1 $aABREU, U. G. P. de 700 1 $aANACHE, N. A. 700 1 $aSILVA, K. C. 700 1 $aCARDOSO, C. J. T. 700 1 $aSUTOVSKY, P. 700 1 $aRODRIGUES, W. B. 773 $tAnimal$gv. 13, n. 10, p. 2305-2312, 2019.
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