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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Caprinos e Ovinos; Embrapa Gado de Leite. |
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Data corrente: |
09/11/2022 |
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Data da última atualização: |
09/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
DIAS, J. H.; GONÇALVES, J. D.; ARRAIS, A. M.; BATISTA, R. I. T. P.; SOUZA-FABJAN, J. M. G.; BASTOS, R.; SIQUEIRA, L. G. B.; OLIVEIRA, M. E. F.; FONSECA, J. F. da. |
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Afiliação: |
Universidade Federal de Viçosa; Universidade Estadual Paulista; Universidade Federal Rural do Rio de Janeiro; Universidade Federal Fluminense; Universidade Federal Fluminense; Universidade Estadual do Norte Fluminense Darcy Ribeiro; LUIZ GUSTAVO BRUNO SIQUEIRA, CNPGL; Universidade Estadual Paulista; JEFERSON FERREIRA DA FONSECA, CNPC. |
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Título: |
Single dose of 300 IU hCG in the early luteal phase in superovulated ewes: Effects on corpora lutea, progesterone profile, and embryo recovery. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Animal Reproduction Science, v. 247, 107101, 2022. |
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DOI: |
https://doi.org/10.1016/j.anireprosci.2022.107101 |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to evaluate the effects of hCG treatment during the early luteal phase on ovarian function, progesterone profile, and embryo yield in superovulated ewes. Superovulated sheep were randomly assigned to receive 300 IU hCG i.m. (GhCG, n = 24) or not (GControl, n = 25) at 96 h after the removal of the progesterone (P4) device (D13). Non-surgical embryo recovery (NSER) was performed eight days after P4 withdrawal. Ultrasound evaluations were performed on D13, D14, D16, and D17. Blood samples were collected on D14, D16, and D17. Superovulation scores were recorded based on the number of corpora lutea (CL) as follows: 1 (≤ 2), 2 (3−5), 3 (6−8), and 4 (≥ 9). NSER efficiency, superovulation response, and luteal tissue area were similar in both groups (P > 0.05). Structural luteolysis tended to be higher in GControl (P = 0.07; 47.0 %) while functional luteolysis was similar in both groups (P > 0.05; 0.0 % and 5.9 %). The recovery rate was greater (P < 0.05) in GhCG (89.8 %) compared with GControl (71.0 %), with similar overall ova/embryo numbers observed for both groups (P > 0.05). GhCG showed a higher concentration of animals with a superovulatory response score of 4 (54.5 %; P < 0.05) compared with the lowest scores. Plasma progesterone on D16 was higher (P < 0.05) in GhCG ewes (11.1 ± 1.5 vs 6.9 ± 1.5 ng/mL). In conclusion, the hCG treatment improved circulating P4 and embryo recovery rate, tended to maintain luteal functionality, and thus constitutes an additional tool for improving embryo yield in superovulated ewes. MenosThis study aimed to evaluate the effects of hCG treatment during the early luteal phase on ovarian function, progesterone profile, and embryo yield in superovulated ewes. Superovulated sheep were randomly assigned to receive 300 IU hCG i.m. (GhCG, n = 24) or not (GControl, n = 25) at 96 h after the removal of the progesterone (P4) device (D13). Non-surgical embryo recovery (NSER) was performed eight days after P4 withdrawal. Ultrasound evaluations were performed on D13, D14, D16, and D17. Blood samples were collected on D14, D16, and D17. Superovulation scores were recorded based on the number of corpora lutea (CL) as follows: 1 (≤ 2), 2 (3−5), 3 (6−8), and 4 (≥ 9). NSER efficiency, superovulation response, and luteal tissue area were similar in both groups (P > 0.05). Structural luteolysis tended to be higher in GControl (P = 0.07; 47.0 %) while functional luteolysis was similar in both groups (P > 0.05; 0.0 % and 5.9 %). The recovery rate was greater (P < 0.05) in GhCG (89.8 %) compared with GControl (71.0 %), with similar overall ova/embryo numbers observed for both groups (P > 0.05). GhCG showed a higher concentration of animals with a superovulatory response score of 4 (54.5 %; P < 0.05) compared with the lowest scores. Plasma progesterone on D16 was higher (P < 0.05) in GhCG ewes (11.1 ± 1.5 vs 6.9 ± 1.5 ng/mL). In conclusion, the hCG treatment improved circulating P4 and embryo recovery rate, tended to maintain luteal functionality, and thus co... Mostrar Tudo |
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Palavras-Chave: |
NSER. |
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Thesagro: |
Corpo Lúteo; Embrião; Ovelha; Ovino; Reprodução Animal; Superovulação. |
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Thesaurus Nal: |
Animal reproduction; Corpus luteum; Embryo (animal); Sheep; Superovulation. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02710naa a2200373 a 4500
001 2148143
005 2022-11-09
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.anireprosci.2022.107101$2DOI
100 1 $aDIAS, J. H.
245 $aSingle dose of 300 IU hCG in the early luteal phase in superovulated ewes$bEffects on corpora lutea, progesterone profile, and embryo recovery.$h[electronic resource]
260 $c2022
520 $aThis study aimed to evaluate the effects of hCG treatment during the early luteal phase on ovarian function, progesterone profile, and embryo yield in superovulated ewes. Superovulated sheep were randomly assigned to receive 300 IU hCG i.m. (GhCG, n = 24) or not (GControl, n = 25) at 96 h after the removal of the progesterone (P4) device (D13). Non-surgical embryo recovery (NSER) was performed eight days after P4 withdrawal. Ultrasound evaluations were performed on D13, D14, D16, and D17. Blood samples were collected on D14, D16, and D17. Superovulation scores were recorded based on the number of corpora lutea (CL) as follows: 1 (≤ 2), 2 (3−5), 3 (6−8), and 4 (≥ 9). NSER efficiency, superovulation response, and luteal tissue area were similar in both groups (P > 0.05). Structural luteolysis tended to be higher in GControl (P = 0.07; 47.0 %) while functional luteolysis was similar in both groups (P > 0.05; 0.0 % and 5.9 %). The recovery rate was greater (P < 0.05) in GhCG (89.8 %) compared with GControl (71.0 %), with similar overall ova/embryo numbers observed for both groups (P > 0.05). GhCG showed a higher concentration of animals with a superovulatory response score of 4 (54.5 %; P < 0.05) compared with the lowest scores. Plasma progesterone on D16 was higher (P < 0.05) in GhCG ewes (11.1 ± 1.5 vs 6.9 ± 1.5 ng/mL). In conclusion, the hCG treatment improved circulating P4 and embryo recovery rate, tended to maintain luteal functionality, and thus constitutes an additional tool for improving embryo yield in superovulated ewes.
650 $aAnimal reproduction
650 $aCorpus luteum
650 $aEmbryo (animal)
650 $aSheep
650 $aSuperovulation
650 $aCorpo Lúteo
650 $aEmbrião
650 $aOvelha
650 $aOvino
650 $aReprodução Animal
650 $aSuperovulação
653 $aNSER
700 1 $aGONÇALVES, J. D.
700 1 $aARRAIS, A. M.
700 1 $aBATISTA, R. I. T. P.
700 1 $aSOUZA-FABJAN, J. M. G.
700 1 $aBASTOS, R.
700 1 $aSIQUEIRA, L. G. B.
700 1 $aOLIVEIRA, M. E. F.
700 1 $aFONSECA, J. F. da
773 $tAnimal Reproduction Science$gv. 247, 107101, 2022.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
05/04/2021 |
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Data da última atualização: |
05/04/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
LUIZ, A. J. B.; LIMA, M. A. de. |
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Afiliação: |
ALFREDO JOSE BARRETO LUIZ, CNPMA; MAGDA APARECIDA DE LIMA, CNPMA. |
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Título: |
Application of the Kolmogorov-Smirnov test to compare greenhouse gas emissions over time. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Brasileira de Biometria, v. 39, n. 1, p. 60-70, 2021. |
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ISSN: |
1983-0823 |
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DOI: |
https://doi.org/10.28951/rbb.v39i1.498 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The national inventories of greenhouse gas (GHG) emissions, which are periodically prepared by countries that signed the Climate Change Convention, compute emissions from anthropogenic sources among them agricultural activities. The protocols established within the scope of the International Panel on Climate Change (IPCC) make it possible to estimate these emissions. These protocols use standard emission factors that vary according to the characteristics of the monitored activities and only scientific research, published in journals of recognized quality, can establish other local factors. Brazilian researchers carry out experiments to measure GHG emissions from agricultural activities, aiming to calculate specific parameters for the national climatic and management conditions. These field experiments are complex, costly, with a limited number of repetitions and, eventually, high natural variability. Often, these limitations result in the inability of the analysis of variance (ANOVA) to identify differences between treatments. The objective of this work is to present the non-parametric Kolmogorov-Smirnov (KS) test as an alternative to compare the effect of flooded irrigation management on methane (CH4) emission throughout the rice crop cycle. We present a case study in which ANOVA produced non-significant results for the adjustment of the model while the KS identified the emission curves as significantly different. The KS test could be adapted, via the SAS NPAR1WAY routine, to compare events with responses over time, such as methane emissions in flooded rice, resulting in test values and graphs that are easy to understand and interpret. MenosAbstract: The national inventories of greenhouse gas (GHG) emissions, which are periodically prepared by countries that signed the Climate Change Convention, compute emissions from anthropogenic sources among them agricultural activities. The protocols established within the scope of the International Panel on Climate Change (IPCC) make it possible to estimate these emissions. These protocols use standard emission factors that vary according to the characteristics of the monitored activities and only scientific research, published in journals of recognized quality, can establish other local factors. Brazilian researchers carry out experiments to measure GHG emissions from agricultural activities, aiming to calculate specific parameters for the national climatic and management conditions. These field experiments are complex, costly, with a limited number of repetitions and, eventually, high natural variability. Often, these limitations result in the inability of the analysis of variance (ANOVA) to identify differences between treatments. The objective of this work is to present the non-parametric Kolmogorov-Smirnov (KS) test as an alternative to compare the effect of flooded irrigation management on methane (CH4) emission throughout the rice crop cycle. We present a case study in which ANOVA produced non-significant results for the adjustment of the model while the KS identified the emission curves as significantly different. The KS test could be adapted, via the SAS NPAR1WAY... Mostrar Tudo |
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Palavras-Chave: |
GHG; KS; Nonparametric tests. |
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Thesagro: |
Efeito Estufa; Metano; Método Estatístico. |
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Thesaurus NAL: |
Greenhouse gas emissions; Methane; Statistical analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222348/1/Luiz-Application-Kolmogorov-Smirnov-2021.pdf
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Marc: |
LEADER 02456naa a2200265 a 4500
001 2131064
005 2021-04-05
008 2021 bl uuuu u00u1 u #d
022 $a1983-0823
024 7 $ahttps://doi.org/10.28951/rbb.v39i1.498$2DOI
100 1 $aLUIZ, A. J. B.
245 $aApplication of the Kolmogorov-Smirnov test to compare greenhouse gas emissions over time.$h[electronic resource]
260 $c2021
520 $aAbstract: The national inventories of greenhouse gas (GHG) emissions, which are periodically prepared by countries that signed the Climate Change Convention, compute emissions from anthropogenic sources among them agricultural activities. The protocols established within the scope of the International Panel on Climate Change (IPCC) make it possible to estimate these emissions. These protocols use standard emission factors that vary according to the characteristics of the monitored activities and only scientific research, published in journals of recognized quality, can establish other local factors. Brazilian researchers carry out experiments to measure GHG emissions from agricultural activities, aiming to calculate specific parameters for the national climatic and management conditions. These field experiments are complex, costly, with a limited number of repetitions and, eventually, high natural variability. Often, these limitations result in the inability of the analysis of variance (ANOVA) to identify differences between treatments. The objective of this work is to present the non-parametric Kolmogorov-Smirnov (KS) test as an alternative to compare the effect of flooded irrigation management on methane (CH4) emission throughout the rice crop cycle. We present a case study in which ANOVA produced non-significant results for the adjustment of the model while the KS identified the emission curves as significantly different. The KS test could be adapted, via the SAS NPAR1WAY routine, to compare events with responses over time, such as methane emissions in flooded rice, resulting in test values and graphs that are easy to understand and interpret.
650 $aGreenhouse gas emissions
650 $aMethane
650 $aStatistical analysis
650 $aEfeito Estufa
650 $aMetano
650 $aMétodo Estatístico
653 $aGHG
653 $aKS
653 $aNonparametric tests
700 1 $aLIMA, M. A. de
773 $tRevista Brasileira de Biometria$gv. 39, n. 1, p. 60-70, 2021.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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