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 | Acesso ao texto completo restrito à biblioteca da Embrapa Suínos e Aves. Para informações adicionais entre em contato com cnpsa.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
21/09/2017 |
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Data da última atualização: |
18/12/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FEDDERN, V.; CUNHA JUNIOR, A.; PRÁ, M. C. de; SILVA, M. L. B. da; NICOLOSO, R. da S.; HIGARASHI, M. M.; COLDEBELLA, A.; ABREU, P. G. de. |
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Afiliação: |
VIVIAN FEDDERN, CNPSA; ANILDO CUNHA JUNIOR, CNPSA; MARINA CELANTE DE PRÁ, UFSC; MARCIO LUIS BUSI DA SILVA, CNPSA; RODRIGO DA SILVEIRA NICOLOSO, CNPSA; MARTHA MAYUMI HIGARASHI, CNPSA; ARLEI COLDEBELLA, CNPSA; PAULO GIOVANNI DE ABREU, CNPSA. |
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Título: |
Effects of biodiesel made from swine and chicken fat residues on carbon monoxide, carbon dioxide, and nitrogen oxide emissions. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Journal of the Air & Waste Management Association, v. 67, n. 7, p. 754 ? 762, 2017. |
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DOI: |
http://dx.doi.org/10.1080/10962247.2017.1279695 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT The effects of two alternative sources of animal fat-derived biodiesel feedstock on CO2, CO, NOx tailpipe emissions as well as fuel consumption were investigated. Biodiesel blends were produced from chicken and swine fat waste (FW-1) or floating fat (FW-2) collected from slaughterhouse wastewater treatment processes. Tests were conducted in an unmodified stationary diesel engine operating under idling conditions in attempt to simulate slow traffic in urban areas. Significant reductions in CO (up to 47% for B100; FW-2) and NOx (up to 20% for B5; FW-2 or B100; FW-1) were attained when using biodiesel fuels at the expense of 5% increase in fuel consumption. Principal component analysis (PCA) was performed to elucidate possible associations among gas (CO2, CO, and NOx) emissions, cetane number and iodine index with different sources of feedstock typically employed in the biodiesel industry. NOx, cetane number and iodine index were inversely proportional to CO2 and biodiesel concentration. High NOx emissions were reported from high iodine index biodiesel derived especially from forestry, fishery and some agriculture feedstocks, while the biodiesel derived from animal sources consistently presented lower iodine index mitigating NOx emissions. The obtained results point out the applicability of biodiesel fuels derived from fat-rich residues originated from animal production on mitigation of greenhouse gas emissions. The information may encourage practitioners from biodiesel industry whilst contributing towards development of sustainable animal production. Implications: Emissions from motor vehicles can contribute considerably to the levels of greenhouse gases in the atmosphere. The use of biodiesel to replace or augment diesel can not only decrease our dependency on fossil fuels but also help decrease air pollution. Thus, different sources of feedstocks are constantly being explored for affordable biodiesel production. However, the amount of carbon monoxide (CO), carbon dioxide (CO2), and/or nitrogen oxide (NOx) emissions can vary largely depending on type of feedstock used to produce biodiesel. In this work, the authors demonstrated animal fat feasibility in replacing petrodiesel with less impact regarding greenhouse gas emissions than other sources. MenosABSTRACT The effects of two alternative sources of animal fat-derived biodiesel feedstock on CO2, CO, NOx tailpipe emissions as well as fuel consumption were investigated. Biodiesel blends were produced from chicken and swine fat waste (FW-1) or floating fat (FW-2) collected from slaughterhouse wastewater treatment processes. Tests were conducted in an unmodified stationary diesel engine operating under idling conditions in attempt to simulate slow traffic in urban areas. Significant reductions in CO (up to 47% for B100; FW-2) and NOx (up to 20% for B5; FW-2 or B100; FW-1) were attained when using biodiesel fuels at the expense of 5% increase in fuel consumption. Principal component analysis (PCA) was performed to elucidate possible associations among gas (CO2, CO, and NOx) emissions, cetane number and iodine index with different sources of feedstock typically employed in the biodiesel industry. NOx, cetane number and iodine index were inversely proportional to CO2 and biodiesel concentration. High NOx emissions were reported from high iodine index biodiesel derived especially from forestry, fishery and some agriculture feedstocks, while the biodiesel derived from animal sources consistently presented lower iodine index mitigating NOx emissions. The obtained results point out the applicability of biodiesel fuels derived from fat-rich residues originated from animal production on mitigation of greenhouse gas emissions. The information may encourage practitioners from biodiese... Mostrar Tudo |
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Palavras-Chave: |
Emissão de gases; Monóxido de carbono; Óxido de nitrogênio; Resíduo de gordura. |
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Thesagro: |
Abatedouro; Águas residuais; Ave doméstica; Dióxido de carbono; Suíno. |
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Thesaurus Nal: |
biodiesel; Greenhouse gas emissions. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03409naa a2200349 a 4500
001 2076010
005 2017-12-18
008 2017 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1080/10962247.2017.1279695$2DOI
100 1 $aFEDDERN, V.
245 $aEffects of biodiesel made from swine and chicken fat residues on carbon monoxide, carbon dioxide, and nitrogen oxide emissions.$h[electronic resource]
260 $c2017
520 $aABSTRACT The effects of two alternative sources of animal fat-derived biodiesel feedstock on CO2, CO, NOx tailpipe emissions as well as fuel consumption were investigated. Biodiesel blends were produced from chicken and swine fat waste (FW-1) or floating fat (FW-2) collected from slaughterhouse wastewater treatment processes. Tests were conducted in an unmodified stationary diesel engine operating under idling conditions in attempt to simulate slow traffic in urban areas. Significant reductions in CO (up to 47% for B100; FW-2) and NOx (up to 20% for B5; FW-2 or B100; FW-1) were attained when using biodiesel fuels at the expense of 5% increase in fuel consumption. Principal component analysis (PCA) was performed to elucidate possible associations among gas (CO2, CO, and NOx) emissions, cetane number and iodine index with different sources of feedstock typically employed in the biodiesel industry. NOx, cetane number and iodine index were inversely proportional to CO2 and biodiesel concentration. High NOx emissions were reported from high iodine index biodiesel derived especially from forestry, fishery and some agriculture feedstocks, while the biodiesel derived from animal sources consistently presented lower iodine index mitigating NOx emissions. The obtained results point out the applicability of biodiesel fuels derived from fat-rich residues originated from animal production on mitigation of greenhouse gas emissions. The information may encourage practitioners from biodiesel industry whilst contributing towards development of sustainable animal production. Implications: Emissions from motor vehicles can contribute considerably to the levels of greenhouse gases in the atmosphere. The use of biodiesel to replace or augment diesel can not only decrease our dependency on fossil fuels but also help decrease air pollution. Thus, different sources of feedstocks are constantly being explored for affordable biodiesel production. However, the amount of carbon monoxide (CO), carbon dioxide (CO2), and/or nitrogen oxide (NOx) emissions can vary largely depending on type of feedstock used to produce biodiesel. In this work, the authors demonstrated animal fat feasibility in replacing petrodiesel with less impact regarding greenhouse gas emissions than other sources.
650 $abiodiesel
650 $aGreenhouse gas emissions
650 $aAbatedouro
650 $aÁguas residuais
650 $aAve doméstica
650 $aDióxido de carbono
650 $aSuíno
653 $aEmissão de gases
653 $aMonóxido de carbono
653 $aÓxido de nitrogênio
653 $aResíduo de gordura
700 1 $aCUNHA JUNIOR, A.
700 1 $aPRÁ, M. C. de
700 1 $aSILVA, M. L. B. da
700 1 $aNICOLOSO, R. da S.
700 1 $aHIGARASHI, M. M.
700 1 $aCOLDEBELLA, A.
700 1 $aABREU, P. G. de
773 $tJournal of the Air & Waste Management Association$gv. 67, n. 7, p. 754 ? 762, 2017.
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Registro original: |
Embrapa Suínos e Aves (CNPSA) |
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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 Café. |
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Data corrente: |
21/08/2023 |
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Data da última atualização: |
21/08/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
CARVALHO, H. F.; FERRÃO, L. F. V.; GALLI, G.; NONATO, J. V. A.; PADILHA, L.; MALUF, M. P.; RESENDE JR., M. F. R. de; FRITSCHE-NETO, R.; GUERREIRO-FILHO, O. |
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Afiliação: |
HUMBERTO FANELLI CARVALHO, INSTITUTO AGRONÔMICO DE CAMPINAS; LUÍS FELIPE VENTORIM FERRÃO, UNIVERSITY OF FLORIDA; GIOVANNI GALLI, LOUISIANA STATE UNIVERSITY; JULIANA VIEIRA ALMEIDA NONATO, INSTITUTO AGRONÔMICO DE CAMPINAS; LILIAN PADILHA, CNPCa; MIRIAN PEREZ MALUF, CNPCa; MÁRCIO FERNANDO RIBEIRO DE RESENDE JR., UNIVERSITY OF FLORIDA; ROBERTO FRITSCHE-NETO, LOUISIANA STATE UNIVERSITY; OLIVEIRO GUERREIRO-FILHO, INSTITUTO AGRONÔMICO DE CAMPINAS. |
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Título: |
On the accuracy of threshold genomic prediction models for leaf miner and leaf rust resistance in arabica coffee. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Tree Genetics & Genomes, v. 19, n. 1, 2023. |
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Páginas: |
10 p. |
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DOI: |
https://doi.org/10.1007/s11295-022-01581-8 |
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Idioma: |
Inglês |
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Conteúdo: |
Obtaining resistance cultivars for leaf miner and leaf rust are the main important strategy of Brazil?s national coffee breeding program. The narrow genetic basis, and founder effect consequences, lead to challenges in quantifying and detecting genetic diversity for these traits. Biotechnology tools allied with classical breeding strategies are powerful in detecting variability and deploying a precision selection. The selection based on the genetic merit of an individual obtained from thousands of single nucleotide polymorphism effects is known as genomic selection. The ordinal scale principally makes the resistance evaluation of the leaf rust and leaf miner of the score, categorizing the phenotypes following the discrete (ordinal) distribution. Hence, this distribution can be better analyzed by threshold models. Our goals were to optimize genomic prediction models for coffee resistance to leaf rust and leaf miner via threshold models and compare pedigree and genomic relationship matrices to underlying prediction models. We have observed that the genomic model with the genomic relationship matrix performed better for all scenarios. For the traits with at least five degrees of scores, the threshold models performed better, whereas for a trait with ten degrees of scores, we see no advantage to using a threshold model for genomic prediction. |
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Thesaurus NAL: |
Coffea arabica var. arabica; Genomics; Hemileia; Leaf rust; Leucoptera. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1156023/1/On-the-accuracy-of-threshold-genomic-prediction.pdf
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Marc: |
LEADER 02259naa a2200301 a 4500
001 2156023
005 2023-08-21
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11295-022-01581-8$2DOI
100 1 $aCARVALHO, H. F.
245 $aOn the accuracy of threshold genomic prediction models for leaf miner and leaf rust resistance in arabica coffee.$h[electronic resource]
260 $c2023
300 $a10 p.
520 $aObtaining resistance cultivars for leaf miner and leaf rust are the main important strategy of Brazil?s national coffee breeding program. The narrow genetic basis, and founder effect consequences, lead to challenges in quantifying and detecting genetic diversity for these traits. Biotechnology tools allied with classical breeding strategies are powerful in detecting variability and deploying a precision selection. The selection based on the genetic merit of an individual obtained from thousands of single nucleotide polymorphism effects is known as genomic selection. The ordinal scale principally makes the resistance evaluation of the leaf rust and leaf miner of the score, categorizing the phenotypes following the discrete (ordinal) distribution. Hence, this distribution can be better analyzed by threshold models. Our goals were to optimize genomic prediction models for coffee resistance to leaf rust and leaf miner via threshold models and compare pedigree and genomic relationship matrices to underlying prediction models. We have observed that the genomic model with the genomic relationship matrix performed better for all scenarios. For the traits with at least five degrees of scores, the threshold models performed better, whereas for a trait with ten degrees of scores, we see no advantage to using a threshold model for genomic prediction.
650 $aCoffea arabica var. arabica
650 $aGenomics
650 $aHemileia
650 $aLeaf rust
650 $aLeucoptera
700 1 $aFERRÃO, L. F. V.
700 1 $aGALLI, G.
700 1 $aNONATO, J. V. A.
700 1 $aPADILHA, L.
700 1 $aMALUF, M. P.
700 1 $aRESENDE JR., M. F. R. de
700 1 $aFRITSCHE-NETO, R.
700 1 $aGUERREIRO-FILHO, O.
773 $tTree Genetics & Genomes$gv. 19, n. 1, 2023.
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Registro original: |
Embrapa Café (CNPCa) |
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