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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
09/02/2024 |
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Data da última atualização: |
09/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
NASCIMENTO, A. F. do; FERREIRA, A. |
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Afiliação: |
ALEXANDRE FERREIRA DO NASCIMENTO, CPAMT; ANDERSON FERREIRA, CNPT. |
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Título: |
Forage Grass in Static Gas Exchange Chambers Deployed In Southern Amazon Influences Field Measurement of Soil N2O Emissions. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Journal of Biomedical Research & Environmental Sciences, v. 5, n. 1, p. 16-20, 2024. |
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ISSN: |
2766-2276 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Static chambers are used to estimate the exchange of greenhouse gases between the soil and the atmosphere, but the presence of plants inside such chambers can alter gas fluxes. This study aimed to determine the influence of forage grass on N2O fluxes emanating from an oxisol in the southern Amazon region of Brazil. A randomized experiment comprising two treatments, namely static gas exchange Chambers with Grass (CWG) and Chambers with No Grass (CNG) with six replicates of each was performed to determine N2O fluxes over a period of one year. Soil N2O fluxes in the CWG were higher (19.08 µg N2O-N m-2 h-1) than those in the CNG (9.05 µg N2O-N m-2 h-1), most especially during the wet season. Cumulative N2O emissions were 1.60 and 0.72 kg N2O-N ha-1 for the CWG and CNG, respectively. The higher N2O estimates in the CWG may be attributed to the plant transpiration stream and/or to changes in soil attributes induced by the plants. Measurement of N2O emissions from a grass-covered oxisol inside gas exchange chambers may overestimate soil N2O flux in the tropical humid climate of the Southern Amazon. |
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Thesagro: |
Efeito Estufa; Gado de Corte; Pastagem. |
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Thesaurus Nal: |
Greenhouse gases; Livestock; Pastures. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1161901/1/2023-cpamt-afn-forage-grass-static-gas-exchange-chambers-deployed-southern-amazon-influences-field-measurement-soil-n2o-emissions.pdf
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Marc: |
LEADER 01806naa a2200217 a 4500
001 2161901
005 2024-02-09
008 2024 bl uuuu u00u1 u #d
022 $a2766-2276
100 1 $aNASCIMENTO, A. F. do
245 $aForage Grass in Static Gas Exchange Chambers Deployed In Southern Amazon Influences Field Measurement of Soil N2O Emissions.$h[electronic resource]
260 $c2024
520 $aAbstract: Static chambers are used to estimate the exchange of greenhouse gases between the soil and the atmosphere, but the presence of plants inside such chambers can alter gas fluxes. This study aimed to determine the influence of forage grass on N2O fluxes emanating from an oxisol in the southern Amazon region of Brazil. A randomized experiment comprising two treatments, namely static gas exchange Chambers with Grass (CWG) and Chambers with No Grass (CNG) with six replicates of each was performed to determine N2O fluxes over a period of one year. Soil N2O fluxes in the CWG were higher (19.08 µg N2O-N m-2 h-1) than those in the CNG (9.05 µg N2O-N m-2 h-1), most especially during the wet season. Cumulative N2O emissions were 1.60 and 0.72 kg N2O-N ha-1 for the CWG and CNG, respectively. The higher N2O estimates in the CWG may be attributed to the plant transpiration stream and/or to changes in soil attributes induced by the plants. Measurement of N2O emissions from a grass-covered oxisol inside gas exchange chambers may overestimate soil N2O flux in the tropical humid climate of the Southern Amazon.
650 $aGreenhouse gases
650 $aLivestock
650 $aPastures
650 $aEfeito Estufa
650 $aGado de Corte
650 $aPastagem
700 1 $aFERREIRA, A.
773 $tJournal of Biomedical Research & Environmental Sciences$gv. 5, n. 1, p. 16-20, 2024.
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Registro original: |
Embrapa Agrossilvipastoril (CPAMT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Caprinos e Ovinos; Embrapa Pesca e Aquicultura. |
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Data corrente: |
06/07/2020 |
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Data da última atualização: |
07/07/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
ARANDAS, J. K. G.; ALVES, A. G. C.; FACO, O.; BELCHIOR, E. B.; SHIOTSUKI, L.; RIBEIRO, M. N. |
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Afiliação: |
JANAINA KELLI GOMES ARANDAS, University Federal Rural de Pernambuco (UFRPE) - Recife, PE, Brazil; ÂNGELO GIUSEPPE CHAVES ALVES, University Federal Rural de Pernambuco (UFRPE) - Recife, PE, Brazil; OLIVARDO FACO, CNPC; ERNANDES BARBOZA BELCHIOR, CNPASA; LUCIANA SHIOTSUKI, CNPASA; MARIA NORMA RIBEIRO, Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq, Brazil. |
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Título: |
Characterization of the sheep farming system in the brazilian Semiarid from the multivariate perspective. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
American Journal of Animal and Veterinary Sciences, v. 15, n. 3, p. 185-197, 2020. |
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DOI: |
DOI: 10.3844/ajavsp.2020.185.197 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: This study aimed to characterize the purebred Morada Nova sheep and crossbred farming systems in Ceará State, Brazil, through multivariate analysis. The study was carried out in the Morada Nova municipality in Ceará. Thirteen representative Morada Nova pure sheep Breeders (MNB) and 48 crossbreds? breeders of Morada Nova with other breeds (CMN) were interviewed. Was used a questionnaire-based including 12 variables: Breeder Age (BA); Herd Size (HS); Breeding System (BS); feed Supplementation (SUPLE); season feed supplementation (winter or summer); Age at Sexual maturity of Ram (ASR); Ram Discard Age (RDA); Age at Sexual maturity of the Ewe (ASE); Ewe Discard Age (EDA); Commercialization (COM); family participation (FAMP); Main Breeder Activity (MBA). Descriptive statistics and variance analysis were performed, followed by Tukey's test for the comparison of the farming systems of the two studied groups. Variables that characterize the farming systems were subjected to factorial analysis, cluster and discriminant analysis. Based on the factorial analysis, the variables SUPLE, SEASON, ASR, EDA, BA, HS and MBA most significantly contributed to the characterization of farming systems in both studied groups. There was obtained a high level of error classification of breeders to their origin group, due to the handling homogeneity between the studied groups. Multivariate analyses are useful for characterizing the farming system, but the results found can be influenced by the nature or characteristics of the data evaluated. MenosAbstract: This study aimed to characterize the purebred Morada Nova sheep and crossbred farming systems in Ceará State, Brazil, through multivariate analysis. The study was carried out in the Morada Nova municipality in Ceará. Thirteen representative Morada Nova pure sheep Breeders (MNB) and 48 crossbreds? breeders of Morada Nova with other breeds (CMN) were interviewed. Was used a questionnaire-based including 12 variables: Breeder Age (BA); Herd Size (HS); Breeding System (BS); feed Supplementation (SUPLE); season feed supplementation (winter or summer); Age at Sexual maturity of Ram (ASR); Ram Discard Age (RDA); Age at Sexual maturity of the Ewe (ASE); Ewe Discard Age (EDA); Commercialization (COM); family participation (FAMP); Main Breeder Activity (MBA). Descriptive statistics and variance analysis were performed, followed by Tukey's test for the comparison of the farming systems of the two studied groups. Variables that characterize the farming systems were subjected to factorial analysis, cluster and discriminant analysis. Based on the factorial analysis, the variables SUPLE, SEASON, ASR, EDA, BA, HS and MBA most significantly contributed to the characterization of farming systems in both studied groups. There was obtained a high level of error classification of breeders to their origin group, due to the handling homogeneity between the studied groups. Multivariate analyses are useful for characterizing the farming system, but the results found can be influenced by th... Mostrar Tudo |
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Palavras-Chave: |
Análise multivariada; Brasil; Breeding Practices; Livestock breeds; Livestock System; Local Breed; Raça local; Raça Morada Nova; Região Nordeste; Semiárido. |
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Thesagro: |
Cruzamento; Método Estatístico; Ovino. |
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Thesaurus NAL: |
Analysis of variance; Crossing; Multivariate analysis; Sheep breeds; Small ruminants. |
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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/214376/1/CNPC-2020-Characterization.pdf
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Marc: |
LEADER 02752naa a2200409 a 4500
001 2123625
005 2020-07-07
008 2020 bl uuuu u00u1 u #d
024 7 $aDOI: 10.3844/ajavsp.2020.185.197$2DOI
100 1 $aARANDAS, J. K. G.
245 $aCharacterization of the sheep farming system in the brazilian Semiarid from the multivariate perspective.$h[electronic resource]
260 $c2020
520 $aAbstract: This study aimed to characterize the purebred Morada Nova sheep and crossbred farming systems in Ceará State, Brazil, through multivariate analysis. The study was carried out in the Morada Nova municipality in Ceará. Thirteen representative Morada Nova pure sheep Breeders (MNB) and 48 crossbreds? breeders of Morada Nova with other breeds (CMN) were interviewed. Was used a questionnaire-based including 12 variables: Breeder Age (BA); Herd Size (HS); Breeding System (BS); feed Supplementation (SUPLE); season feed supplementation (winter or summer); Age at Sexual maturity of Ram (ASR); Ram Discard Age (RDA); Age at Sexual maturity of the Ewe (ASE); Ewe Discard Age (EDA); Commercialization (COM); family participation (FAMP); Main Breeder Activity (MBA). Descriptive statistics and variance analysis were performed, followed by Tukey's test for the comparison of the farming systems of the two studied groups. Variables that characterize the farming systems were subjected to factorial analysis, cluster and discriminant analysis. Based on the factorial analysis, the variables SUPLE, SEASON, ASR, EDA, BA, HS and MBA most significantly contributed to the characterization of farming systems in both studied groups. There was obtained a high level of error classification of breeders to their origin group, due to the handling homogeneity between the studied groups. Multivariate analyses are useful for characterizing the farming system, but the results found can be influenced by the nature or characteristics of the data evaluated.
650 $aAnalysis of variance
650 $aCrossing
650 $aMultivariate analysis
650 $aSheep breeds
650 $aSmall ruminants
650 $aCruzamento
650 $aMétodo Estatístico
650 $aOvino
653 $aAnálise multivariada
653 $aBrasil
653 $aBreeding Practices
653 $aLivestock breeds
653 $aLivestock System
653 $aLocal Breed
653 $aRaça local
653 $aRaça Morada Nova
653 $aRegião Nordeste
653 $aSemiárido
700 1 $aALVES, A. G. C.
700 1 $aFACO, O.
700 1 $aBELCHIOR, E. B.
700 1 $aSHIOTSUKI, L.
700 1 $aRIBEIRO, M. N.
773 $tAmerican Journal of Animal and Veterinary Sciences$gv. 15, n. 3, p. 185-197, 2020.
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Registro original: |
Embrapa Caprinos e Ovinos (CNPC) |
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