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Registro Completo |
Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
Data corrente: |
05/09/2016 |
Data da última atualização: |
23/09/2019 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
ALVES, N. G.; JUNQUEIRA, F. B.; ASCARI, I. J.; SOUZA, J. C.; CAMPOS, J. P. A.; FARIA, L. R.; SILVA, D. R.; PAULA, F. A. P.; LIMA, R. R. de; FONSECA, J. F. da. |
Afiliação: |
JEFERSON FERREIRA DA FONSECA, CNPC. |
Título: |
Restricted intake and lipid inclusion in Santa Inês ewe lambs diet: age, weight and progesterone concentration at first ovulation. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Animal Reproduction, v. 13, n. 3, p. 521, Jul./Sept. 2016. |
Idioma: |
Inglês |
Notas: |
Proceedings of the 30th Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Foz do Iguaçu, PR, Brazil, August 25th to 27th, 2016, and 32nd Meeting of the European Embryo Transfer Association (AETE); Barcelona, Spain, September 9th and 10th, 2016. |
Conteúdo: |
Abstract: The age at first ovulation is influenced by several factors, and nutrition has an essential role on it. Lipids provide essential fatty acids that are positively associated to reproductive aspects. The aims of this study were to evaluate the effects of lipid inclusion and restricted intake on age and weight at the first ovulation and the serum progesterone (P4) concentration at the sixth day after first ovulation. Thirty-five Santa Inês ewe lambs with initial body weight (BW) of 21.5 ± 0.3 kg and age of 91.6 ± 1.4 days were used. Animals were blocked according to initial BW and distributed to one of four treatments: animals receiving diet without lipid inclusion (3.5% ether extract ? EE), ad libitum intake (WLI-ALI, control group, n = 9); diet without lipid inclusion and restricted intake (WLI-RI, n = 9); lipid inclusion diet, represented by toasted and broken soybean (9.8% EE), ad libitum intake (LIP-ALI, n = 8); and lipid inclusion diet and restricted intake (LIP-RI, n = 9). Ewe lambs subjected to restricted intake had 84% of the diet offered to those in ad libitum treatments. The individual daily dry matter intake (DMI) and EE intake (EEI) were measured and the animals were weekly weighted until 35 kg BW. For P4 analysis, blood samples were collected once a week after the animals reached 25 kg BW and twice a week after 30 kg until 35 kg BW. Ovulation was estimated to occur on the sixth day before P4 ?1 ng/mL. DMI, EEI, average daily weight gain until first ovulation (DWG), weight and age at first ovulation, serum P4 concentration and days in experiment until first ovulation were analyzed by GLM PROC of the SAS software (version 9.3). Ovulation occurred in 60% (21/35) of the ewe lambs (5; 5; 6; 5 from WLI-ALI; WLI-RI; LIP-ALI; and LIP-RI, respectively). DMI of ewe lambs from WLI-ALI group was greater (P < 0.01) than the other groups and the intake of ewe lambs from LIP-RI group was lower (P < 0.01) than those from WLI-RI and LIP-ALI (802.9 ± 12.9, 678.0 ± 15.8, 726.5 ± 22.9, 661.3 ± 21.2 g/day) groups. EEI differed among groups (P < 0.01), and the highest was observed in LIP-ALI and the lowest in WLI-RI. Weight (30.0 ± 0.8; 29.3 ± 1.3; 30.5 ± 1.3; 28.5 ± 1.6 g/day) and age at first ovulation (153.2 ± 5.9; 170.0 ± 9.5; 165.2 ± 10.5; 170.6 ± 15.5 days), DWG (132.2 ± 21.1; 94.4 ± 6.4; 128.2 ± 12.6; 93.4 ± 12.3 g/day), serum P4 (3.1 ± 0.6; 2.0 ± 0.6; 2.1 ± 0.5; 2.7 ± 0.6 ng/mL) and days in experiment until first ovulation (60.6 ± 5.8; 81.0 ± 8.9; 62.8 ± 9.8; 69.8 ± 14.6 days) did not differ (P > 0.05) among WLI-ALI, WLI-RI, LIP-ALI, and LIP-RI treatments, respectively. The first ovulation in Santa Inês ewe lambs occurs at 30 kg BW. The restricted intake imposed in this study did not delay the age at fist ovulation. The greater lipid intake did not favor reproductive parameters. Serum P4 did not increase with the soybean inclusion in the diet. [Restrição alimentar e suplementação lipídica: idade, peso e concentração de progesterona até a primeira ovulação]. Resumo: A idade da primeira ovulação é influenciada por vários fatores e a nutrição tem um papel essencial. Lipídios fornecem ácidos graxos essenciais que estão associados de forma positiva aos aspectos reprodutivos. Os objetivos deste estudo foram avaliar os efeitos da inclusão lipídica e da restrição do consumo na idade e peso a primeira ovulação e na concentração sérica de progesterona (P4) no sexto dia após a primeira ovulação. Foram utilizadas trinta e cinco cordeiras Santa Inês com peso corporal (PC) inicial de 21,5±0,3 kg e idade de 91,6±1,4 dias. Os animais foram blocados de acordo com o PC inicial e distribuído a um dos quatro tratamentos: animais que receberam dieta sem inclusão de lipídeos (3,5% de extrato etéreo - EE), consumo ad libitum (SEM-ALI, grupo controle, n=9); dieta sem inclusão de lipídeos e restrição do consumo (SEMRE, n=9); dieta com inclusão lipídica, representada pela soja tostada e quebrada (9,8% EE), consumo ad libitum (LIP-ALI, n=8); e dieta com inclusão lipídica e restrição do consumo (LIP-RE, n=9). Cordeiras submetidas a restrição do consumo tiveram 84% da dieta oferecida em comparação aos tratamentos ad libitum. O consumo individual diário de matéria seca (CMS) e de EE (CEE) foram mensurados e os animais foram pesados semanalmente até 35 kg de PC. Para a análise de P4, amostras de sangue foram coletadas uma vez por semana depois que os animais atingiram 25 kg de PC e duas vezes por semana após 30 kg até 35 kg de PC. Estimou-se que a ovulação ocorreu no sexto dia que antecedeu P4?1 ng/mL. CMS, CEE, ganho de peso médio diário até a primeira ovulação (GPD), peso e idade da primeira ovulação, a concentração sérica de P4 e dias em experimento até a primeira ovulação foram analisados pelo PROC GLM do software SAS (versão 9.3). A ovulação ocorreu em 60% (21/35) das cordeiras (5; 5; 6; 5 do SEM-ALI; SEM-RE; LIP-ALI e LIP-RE, respectivamente). CMS de cordeiras do grupo SEM-ALI foi maior (P<0,01) do que os outros grupos e o consumo de cordeiras do grupo LIPRE foi menor (P<0,01) do que os grupos SEM-RE e LIP-ALI (802,9±12.9; 678.0±15.8; 726.5±22,9; 661,3±21,2 g/dia). CEE diferiu entre os grupos (P<0,01) e o maior foi observado em LIP-ALI e o menor em SEM-RE. Peso (30,0±0,8; 29,3±1,3; 30,5±1,3; 28,5±1,6 g/dia) e idade a primeira ovulação (153,2±5,9; 170,0±9,5; 165,2±10,5; 170,6±15,5 dias), GPD (132,2±21,1; 94,4±6,4; 128,2±12,6; 93,4±12,3 g/dia), P4 no soro (3,1±0,6; 2,0±0,6; 2,1±0,5; 2,7±0,6 ng/mL) e dias em experimento até a primeira ovulação (60,6±5,8; 81,0±8,9; 62,8±9,8; 69,8±14,6 dias) não apresentaram diferença (P>0,05) entre os tratamentos SEM-ALI, SEM-RE, LIP-ALI e LIP-RE, respectivamente. A primeira ovulação em borregas Santa Inês ocorreu com 30 kg de PC. A restrição do consumo imposta neste estudo não retardou a idade a primeira ovulação. A maior ingestão de lipídios não favoreceu os parâmetros reprodutivos. A P4 sérica não aumentou com a inclusão de soja na dieta. MenosAbstract: The age at first ovulation is influenced by several factors, and nutrition has an essential role on it. Lipids provide essential fatty acids that are positively associated to reproductive aspects. The aims of this study were to evaluate the effects of lipid inclusion and restricted intake on age and weight at the first ovulation and the serum progesterone (P4) concentration at the sixth day after first ovulation. Thirty-five Santa Inês ewe lambs with initial body weight (BW) of 21.5 ± 0.3 kg and age of 91.6 ± 1.4 days were used. Animals were blocked according to initial BW and distributed to one of four treatments: animals receiving diet without lipid inclusion (3.5% ether extract ? EE), ad libitum intake (WLI-ALI, control group, n = 9); diet without lipid inclusion and restricted intake (WLI-RI, n = 9); lipid inclusion diet, represented by toasted and broken soybean (9.8% EE), ad libitum intake (LIP-ALI, n = 8); and lipid inclusion diet and restricted intake (LIP-RI, n = 9). Ewe lambs subjected to restricted intake had 84% of the diet offered to those in ad libitum treatments. The individual daily dry matter intake (DMI) and EE intake (EEI) were measured and the animals were weekly weighted until 35 kg BW. For P4 analysis, blood samples were collected once a week after the animals reached 25 kg BW and twice a week after 30 kg until 35 kg BW. Ovulation was estimated to occur on the sixth day before P4 ?1 ng/mL. DMI, EEI, average daily weight gain until first ovulat... Mostrar Tudo |
Palavras-Chave: |
Crude fat; Raça Santa Inês; Supplementary feeding. |
Thesagro: |
Gordura; Lipídio; Ovelha; Ovino; Proteína Bruta; Reprodução animal; Suplemento alimentar; Suplemento energético. |
Thesaurus Nal: |
Ewes; Sheep. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/147105/1/CNPC-2016-Restricted.pdf
|
Marc: |
LEADER 07487nam a2200385 a 4500 001 2052423 005 2019-09-23 008 2016 bl uuuu u00u1 u #d 100 1 $aALVES, N. G. 245 $aRestricted intake and lipid inclusion in Santa Inês ewe lambs diet$bage, weight and progesterone concentration at first ovulation.$h[electronic resource] 260 $aAnimal Reproduction, v. 13, n. 3, p. 521, Jul./Sept. 2016.$c2016 500 $aProceedings of the 30th Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Foz do Iguaçu, PR, Brazil, August 25th to 27th, 2016, and 32nd Meeting of the European Embryo Transfer Association (AETE); Barcelona, Spain, September 9th and 10th, 2016. 520 $aAbstract: The age at first ovulation is influenced by several factors, and nutrition has an essential role on it. Lipids provide essential fatty acids that are positively associated to reproductive aspects. The aims of this study were to evaluate the effects of lipid inclusion and restricted intake on age and weight at the first ovulation and the serum progesterone (P4) concentration at the sixth day after first ovulation. Thirty-five Santa Inês ewe lambs with initial body weight (BW) of 21.5 ± 0.3 kg and age of 91.6 ± 1.4 days were used. Animals were blocked according to initial BW and distributed to one of four treatments: animals receiving diet without lipid inclusion (3.5% ether extract ? EE), ad libitum intake (WLI-ALI, control group, n = 9); diet without lipid inclusion and restricted intake (WLI-RI, n = 9); lipid inclusion diet, represented by toasted and broken soybean (9.8% EE), ad libitum intake (LIP-ALI, n = 8); and lipid inclusion diet and restricted intake (LIP-RI, n = 9). Ewe lambs subjected to restricted intake had 84% of the diet offered to those in ad libitum treatments. The individual daily dry matter intake (DMI) and EE intake (EEI) were measured and the animals were weekly weighted until 35 kg BW. For P4 analysis, blood samples were collected once a week after the animals reached 25 kg BW and twice a week after 30 kg until 35 kg BW. Ovulation was estimated to occur on the sixth day before P4 ?1 ng/mL. DMI, EEI, average daily weight gain until first ovulation (DWG), weight and age at first ovulation, serum P4 concentration and days in experiment until first ovulation were analyzed by GLM PROC of the SAS software (version 9.3). Ovulation occurred in 60% (21/35) of the ewe lambs (5; 5; 6; 5 from WLI-ALI; WLI-RI; LIP-ALI; and LIP-RI, respectively). DMI of ewe lambs from WLI-ALI group was greater (P < 0.01) than the other groups and the intake of ewe lambs from LIP-RI group was lower (P < 0.01) than those from WLI-RI and LIP-ALI (802.9 ± 12.9, 678.0 ± 15.8, 726.5 ± 22.9, 661.3 ± 21.2 g/day) groups. EEI differed among groups (P < 0.01), and the highest was observed in LIP-ALI and the lowest in WLI-RI. Weight (30.0 ± 0.8; 29.3 ± 1.3; 30.5 ± 1.3; 28.5 ± 1.6 g/day) and age at first ovulation (153.2 ± 5.9; 170.0 ± 9.5; 165.2 ± 10.5; 170.6 ± 15.5 days), DWG (132.2 ± 21.1; 94.4 ± 6.4; 128.2 ± 12.6; 93.4 ± 12.3 g/day), serum P4 (3.1 ± 0.6; 2.0 ± 0.6; 2.1 ± 0.5; 2.7 ± 0.6 ng/mL) and days in experiment until first ovulation (60.6 ± 5.8; 81.0 ± 8.9; 62.8 ± 9.8; 69.8 ± 14.6 days) did not differ (P > 0.05) among WLI-ALI, WLI-RI, LIP-ALI, and LIP-RI treatments, respectively. The first ovulation in Santa Inês ewe lambs occurs at 30 kg BW. The restricted intake imposed in this study did not delay the age at fist ovulation. The greater lipid intake did not favor reproductive parameters. Serum P4 did not increase with the soybean inclusion in the diet. [Restrição alimentar e suplementação lipídica: idade, peso e concentração de progesterona até a primeira ovulação]. Resumo: A idade da primeira ovulação é influenciada por vários fatores e a nutrição tem um papel essencial. Lipídios fornecem ácidos graxos essenciais que estão associados de forma positiva aos aspectos reprodutivos. Os objetivos deste estudo foram avaliar os efeitos da inclusão lipídica e da restrição do consumo na idade e peso a primeira ovulação e na concentração sérica de progesterona (P4) no sexto dia após a primeira ovulação. Foram utilizadas trinta e cinco cordeiras Santa Inês com peso corporal (PC) inicial de 21,5±0,3 kg e idade de 91,6±1,4 dias. Os animais foram blocados de acordo com o PC inicial e distribuído a um dos quatro tratamentos: animais que receberam dieta sem inclusão de lipídeos (3,5% de extrato etéreo - EE), consumo ad libitum (SEM-ALI, grupo controle, n=9); dieta sem inclusão de lipídeos e restrição do consumo (SEMRE, n=9); dieta com inclusão lipídica, representada pela soja tostada e quebrada (9,8% EE), consumo ad libitum (LIP-ALI, n=8); e dieta com inclusão lipídica e restrição do consumo (LIP-RE, n=9). Cordeiras submetidas a restrição do consumo tiveram 84% da dieta oferecida em comparação aos tratamentos ad libitum. O consumo individual diário de matéria seca (CMS) e de EE (CEE) foram mensurados e os animais foram pesados semanalmente até 35 kg de PC. Para a análise de P4, amostras de sangue foram coletadas uma vez por semana depois que os animais atingiram 25 kg de PC e duas vezes por semana após 30 kg até 35 kg de PC. Estimou-se que a ovulação ocorreu no sexto dia que antecedeu P4?1 ng/mL. CMS, CEE, ganho de peso médio diário até a primeira ovulação (GPD), peso e idade da primeira ovulação, a concentração sérica de P4 e dias em experimento até a primeira ovulação foram analisados pelo PROC GLM do software SAS (versão 9.3). A ovulação ocorreu em 60% (21/35) das cordeiras (5; 5; 6; 5 do SEM-ALI; SEM-RE; LIP-ALI e LIP-RE, respectivamente). CMS de cordeiras do grupo SEM-ALI foi maior (P<0,01) do que os outros grupos e o consumo de cordeiras do grupo LIPRE foi menor (P<0,01) do que os grupos SEM-RE e LIP-ALI (802,9±12.9; 678.0±15.8; 726.5±22,9; 661,3±21,2 g/dia). CEE diferiu entre os grupos (P<0,01) e o maior foi observado em LIP-ALI e o menor em SEM-RE. Peso (30,0±0,8; 29,3±1,3; 30,5±1,3; 28,5±1,6 g/dia) e idade a primeira ovulação (153,2±5,9; 170,0±9,5; 165,2±10,5; 170,6±15,5 dias), GPD (132,2±21,1; 94,4±6,4; 128,2±12,6; 93,4±12,3 g/dia), P4 no soro (3,1±0,6; 2,0±0,6; 2,1±0,5; 2,7±0,6 ng/mL) e dias em experimento até a primeira ovulação (60,6±5,8; 81,0±8,9; 62,8±9,8; 69,8±14,6 dias) não apresentaram diferença (P>0,05) entre os tratamentos SEM-ALI, SEM-RE, LIP-ALI e LIP-RE, respectivamente. A primeira ovulação em borregas Santa Inês ocorreu com 30 kg de PC. A restrição do consumo imposta neste estudo não retardou a idade a primeira ovulação. A maior ingestão de lipídios não favoreceu os parâmetros reprodutivos. A P4 sérica não aumentou com a inclusão de soja na dieta. 650 $aEwes 650 $aSheep 650 $aGordura 650 $aLipídio 650 $aOvelha 650 $aOvino 650 $aProteína Bruta 650 $aReprodução animal 650 $aSuplemento alimentar 650 $aSuplemento energético 653 $aCrude fat 653 $aRaça Santa Inês 653 $aSupplementary feeding 700 1 $aJUNQUEIRA, F. B. 700 1 $aASCARI, I. J. 700 1 $aSOUZA, J. C. 700 1 $aCAMPOS, J. P. A. 700 1 $aFARIA, L. R. 700 1 $aSILVA, D. R. 700 1 $aPAULA, F. A. P. 700 1 $aLIMA, R. R. de 700 1 $aFONSECA, J. F. da
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Embrapa Caprinos e Ovinos (CNPC) |
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Biblioteca(s): |
Embrapa Acre; Embrapa Amapá; Embrapa Amazônia Oriental. |
Data corrente: |
14/10/2019 |
Data da última atualização: |
27/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
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.; BIOLUS, 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.; FELDSPAUSCH, 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.; MENDONZA, 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.; STEEGE, H. ter; 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, International Institute for Applied Systems Analysis, Laxenburg, Austria/Bauman Moscow State Technical University, Mytischi, Russia; Jérôme Chave, Laboratoire Evolution et Diversité Biologique CNRS/Université Paul Sabatier, Toulouse, France; Oliver L. Phillips, University of Leeds, Leeds, UK/University College London, London.; Simon L. Lewis, University of Leeds, Leeds, UK/University College London, London.; Stuart J. Davies, Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington.; Maxime Réjou-Méchain, AMAP, IRD, CNRS, CIRAD, INRA, University Montpellier, Montpellier, France.; Plinio Sist, CIRAD, Montpellier, France/Univ Montpellier, CIRAD, Montpellier, France.; Klaus Scipal, European Space Agency, ESTEC, Noordwijk, The Netherlands.; Christoph Perger, International Institute for Applied Systems Analysis, Laxenburg, Austria/Spatial Focus GmbH, Vienna, Austria.; Bruno Herault, CIRAD, Montpellier, France/Univ Montpellier, CIRAD, Montpellier, France/Institut National Polytechnique Félix Houphouët-Boigny, Côte d’Ivoire; Nicolas Labrière, Université Paul Sabatier, Toulouse, France.; Florian Hofhansl, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Kofi Affum-Baffoe, Mensuration Unit, Forestry Commission of Ghana, Kumasi, Ghana.; Alexei Aleinikov, Russian Academy of Sciences, Moscow, Russia.; Alfonso Alonso, Smithsonian Conservation Biology Institute, Washington, DC.; Christian Amani, Centre for International Forestry Research (CIFOR), Bogor, Indonesia.; Alejandro Araujo-Murakami, Universidad Autonoma Gabriel Rene Moreno, Santa Cruz, Bolivia.; John Armston, University of Maryland, USA/University of Queensland, Brisbane, Australia.; Luzmila Arroyo, Universidad Autónoma Gabriel Rene Moreno, Santa Cruz, Bolivia.; Nataly Ascarrunz, Instituto Boliviano de Investigacion Forestal (IBIF), Casilla, Bolivia.; CELSO PAULO DE AZEVEDO, CPAA; Timothy Baker, University of Leeds, Leeds, UK.; Radomir Balazy, Forest Research Institute, Poland.; Caroline Bedeau, ONF-Réserve de Montabo Cayenne Cedex, Cayenne, French Guiana.; Nicholas Berry, The Landscapes and Livelihoods Group, Edinburgh, UK.; Andrii M. Bilous, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Svitlana Yu. Bilous, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Pulchérie Bissiengou, Herbier National du Gabon (IPHAMETRA), Libreville, Gabon.; Lilian Blanc, CIRAD, Montpellier, France/Univ Montpellier, Montpellier, France.; Kapitolina S. Bobkova, Ural Branch of Russian Academy of Sciences, Syktyvkar, Russia.; Tatyana Braslavskaya, Russian Academy of Sciences, Moscow, Russia.; Roel Brienen, University of Leeds, Leeds, UK.; David F. R. P. Burslem, University of Aberdeen, Aberdeen, UK.; Richard Condit, Morton Arboretum, Lisle, IL, USA.; Aida Cuni-Sanchez, University of York, Heslington, York, UK.; Dilshad Danilina, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Dennis del Castillo Torres, Instituto de Investigaciones de la Amazonía Peruana, Iquitos, Peru.; Géraldine Derroire, CIRAD, UMR EcoFoG, France, French Guiana.; Laurent Descroix, ONF-Réserve de Montabo Cayenne Cedex, Cayenne, French Guiana.; ELENEIDE DOFF SOTTA, CPAF-AP; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; Christopher Dresel, International Institute for Applied Systems Analysis, Laxenburg, Austria/Spatial Focus GmbH, Vienna, Austria.; Terry Erwin, Smithsonian Institution, Washington, DC.; Mikhail D. Evdokimenko, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Jan Falck, The Swedish University of Agricultural Sciences, Umeå, Sweden.; Ted R. Feldpausch, University of Exeter, Exeter, UK.; Ernest G. Foli, Forestry Research Institute of Ghana, Kumasi, Ghana.; Robin Foster, The Field Musium, Chicago, IL, USA.; Steffen Fritz, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Antonio Damian Garcia-Abril, Universidad Politecnica de Madrid, Madrid, Spain.; Aleksey Gornov, Center of Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia.; Maria Gornova, Center of Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia.; Ernest Gothard-Bassébé, Institut Centrafricain de Recherche Agronomique (ICRA), Bangui, Central African Republic.; Sylvie Gourlet-Fleury, CIRAD, Montpellier, France/Univ Montpellier, CIRAD, Montpellier, France.; MARCELINO CARNEIRO GUEDES, CPAF-AP; Keith C. Hamer, University of Leeds, Leeds, UK.; Farida Herry Susanty, Forestry and Environment Research Development and Innovation Agency (FOERDIA), Bogor, Indonesia.; Niro Higuchi, Instituto Nacional de Pesquisas da Amazônia, Manaus, Brazil.; Eurídice N. Honorio Coronado, Instituto de Investigaciones de la Amazonía Peruana, Iquitos, Peru.; Wannes Hubau, University of Leeds, Leeds, UK/Ghent University, Ghent, Belgium.; Stephen Hubbell, University of California, Los Angeles, CA, USA.; Ulrik Ilstedt, The Swedish University of Agricultural Sciences, Umeå, Sweden.; Viktor V. Ivanov, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; MILTON KANASHIRO, CPATU; Anders Karlsson, The Swedish University of Agricultural Sciences, SLU, Umeå, Sweden.; Viktor N. Karminov, Russian Academy of Sciences, Moscow, Russia.; Timothy Killeen, World Wildlife Fund, Santa Cruz de la Sierra, Bolivia.; Jean-Claude Konan Koffi, Sodefor, Abidjan, Côte d’Ivoire.; Maria Konovalova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Florian Kraxner, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Jan Krejza, Global Change Research Institute CAS, Brno, Czech Republic.; Haruni Krisnawati, Forestry and Environment Research Development and Innovation Agency (FOERDIA), Bogor, Indonesia.; Leonid V. Krivobokov, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Mikhail A . Kuznetsov, Institute of Biology, Komi Scientific Center, Ural Branch of Russian Academy of Sciences, Syktyvkar, Russia.; Ivan Lakyda, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Petro I. Lakyda, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Juan Carlos Licona, Instituto Boliviano de Investigacion Forestal (IBIF), Casilla, Bolivia.; Richard M. Lucas, Aberystwyth University, Aberystwyth, UK.; Natalia Lukina, Russian Academy of Sciences, Moscow, Russia.; Daniel Lussetti, The Swedish University of Agricultural Sciences, Umeå, Sweden.; Yadvinder Malhi, University of Oxford, Oxford, UK.; José Antonio Manzanera, Universidad Politecnica de Madrid, Madrid, Spain.; Beatriz Marimon, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brazil.; Ben Hur Marimon Junior, Universidade do Estado de Mato Grosso (UNEMAT), Nova Xavantina, Mato Grosso, Brazil.; Rodolfo Vasquez Martinez, Universidad Nacional de San Antonio Abad del Cusco, Oxapampa, Peru.; Olga V. Martynenko, Russian Institute of Continuous Education in Forestry, Pushkino, Russia.; Maksym Matsala, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Raisa K. Matyashuk, Institute for Evolutionary Ecology of the National Academy of Sciences of Ukraine, Kyiv, Ukraine.; LUCAS JOSE MAZZEI DE FREITAS, CPATU; Hervé Memiaghe, University of Oregon, Eugene, OR, USA.; Casimiro Mendoza, Forest Management in Bolivia, Sacta, Bolivia.; Abel Monteagudo Mendoza, Universidad Nacional de San Antonio Abad del Cusco, Oxapampa, Peru.; Olga V. Moroziuk, National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine.; Liudmila Mukhortova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Samsudin Musa, Forest Reserach Institute of Malaysia (FRIM), Kuala Lumpur, Malaysia.; Dina I. Nazimova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Toshinori Okuda, Hiroshima University, Hiroshima, Japan.; LUIS CLAUDIO DE OLIVEIRA, CPAF-AC; Petr V. Ontikov, Bauman Moscow State Technical University, Mytischi, Russia.; Andrey F. Osipov, Russian Academy of Sciences, Syktyvkar, Russia; Stephan Pietsch, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Maureen Playfair, Center for Agricultural research in Suriname, Paramaribo, Suriname.; John Poulsen, Nicholas School of the Environment, Duke University, Durham, USA.; Vladimir G. Radchenko, Institute for Evolutionary Ecology of the National Academy of Sciences of Ukraine, Kyiv, Ukraine.; Kenneth Rodney, The Iwokrama International Centre for Rain Forest Conservation and Development, Georgetown, Guyana.; Andes H. Rozak, Cibodas Botanic Gardens - Indonesian Institute of Sciences (LIPI), Cianjur, Indonesia.; ADEMIR ROBERTO RUSCHEL, CPATU; Ervan Rutishauser, Smithsonian Tropical Research Institute, Ancon, Panama.; Linda See, International Institute for Applied Systems Analysis, Laxenburg, Austria.; Maria Shchepashchenko, Russian Institute of Continuous Education in Forestry, Pushkino, Russia.; Nikolay Shevchenko, Center of Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia.; Anatoly Shvidenko, International Institute for Applied Systems Analysis, Laxenburg, Austria/V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Marcos Silveira, Museu Universitário, Universidade Federal do Acre (Ufac), Rio Branco, Brazil.; James Singh, Guyana Forestry Commission, Kingston Georgetown, Guyana.; Bonaventure Sonké, Plant Systematic and Ecology Laboratory, University of Yaoundé I, Yaounde, Cameroon.; CINTIA RODRIGUES DE SOUZA, CPAA; Krzysztof Stere?czak, Forest Research Institute, Department of Geomatics, Raszyn, Poland.; Leonid Stonozhenko, Russian Institute of Continuous Education in Forestry, Pushkino, Russia.; Martin J. P. Sullivan, University of Leeds, Leeds, UK.; Justyna Szatniewska, Global Change Research Institute CAS, Brno, Czech Republic.; Hermann Taedoumg, University of Yaoundé I, Yaounde, Cameroon/Bioversity international, Yaoundé, Cameroun.; Hans ter Steege, Naturalis Biodiversity Center, Leiden, The Netherlands.; Elena Tikhonova, Center of Forest Ecology and Productivity of the Russian Academy of Sciences, Moscow, Russia.; Marisol Toledo, Museo de Historia Natural Noel Kempff Mercado, Universidad Autónoma Gabriel Rene Moreno, Santa Cruz, Bolivia.; Olga V. Trefilova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Ruben Valbuena, School of Natural Sciences, Bangor University, Bangor, United Kingdom.; Luis Valenzuela Gamarra, Jardín Botánico de Missouri; Universidad Nacional de San Antonio Abad del Cusco, Oxapampa, Peru.; Sergey Vasiliev, Bauman Moscow State Technical University, Mytischi, Russia.; Estella F. Vedrova, V. N. Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Science, Krasnoyarsk, Russia.; Sergey V. Verhovets, Siberian Federal University, Krasnoyarsk, Russia/Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia.; Edson Vidal, Luiz de Queiroz College of Agriculture, University of Sao Paolo, Piracicaba, Sa?o Paulo, Brazil.; Nadezhda A. Vladimirova, 7State Nature Reserve Denezhkin Kamen, Severouralsk, Russia.; Jason Vleminckx, Florida International University, Miami, FL, USA.; Vincent A. Vos, Universidad Autónoma del Beni, Riberalta, Bolivia.; Foma K. Vozmitel, Bauman Moscow State Technical University, Mytischi, Russia.; Wolfgang Wanek, University of Vienna, Vienna, Austria.; Thales A. P. West, New Zealand Forest Research Institute (Scion), Rotorua, New Zealand.; Hannsjorg Woell, Unaffiliated (retired), Bad Aussee, Austria.; John T. Woods, W.R.T College of Agriculture and Forestry, University of Liberia, Monrovia, Liberia.; Verginia Wortel, Center for Agricultural Research in Suriname, Paramaribo, Suriname.; Toshihiro Yamada, Hiroshima University, Higashi-Hiroshima, Hiroshima, Japan.; Zamah Shari Nur Hajar, Forest Research Institute of Malaysia M(FRIM), Kuala Lumpur, Malaysia.; Irié Casimir Zo-Bi, Institut National Polytechnique Félix Houphouët-Boigny, Yamoussoukro, Côte d’Ivoire. |
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: |
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. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world?s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RSbased biomass products while developing new synergies between the RS and ground-based ecosystem research communities. |
Palavras-Chave: |
Bases de datos; Biomasa aérea; Estudios de observación; Forest Observation System (FOS); Recursos forestales; Sistema de Observação Florestal; Teledetección. |
Thesagro: |
Base de Dados; Biomassa; Floresta; Proteção Florestal; Sensoriamento Remoto. |
Thesaurus NAL: |
Aboveground biomass; Databases; Forest resources; Observational studies; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
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Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world?s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RSbased biomass products while developing new synergies between the RS and ground-based ecosystem research communities. 650 $aAboveground biomass 650 $aDatabases 650 $aForest resources 650 $aObservational studies 650 $aRemote sensing 650 $aBase de Dados 650 $aBiomassa 650 $aFloresta 650 $aProteção Florestal 650 $aSensoriamento Remoto 653 $aBases de datos 653 $aBiomasa aérea 653 $aEstudios de observación 653 $aForest Observation System (FOS) 653 $aRecursos forestales 653 $aSistema de Observação Florestal 653 $aTeledetección 700 1 $aCHAVE, J. 700 1 $aPHILLIPS, O. L. 700 1 $aLEWIS, S. L. 700 1 $aDAVIES, S. 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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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