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 | Acesso ao texto completo restrito à biblioteca da Biblioteca Rui Tendinha. Para informações adicionais entre em contato com biblioteca@incaper.es.gov.br. |
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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
24/06/2019 |
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Data da última atualização: |
24/06/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PERON, F. N.; CALLONI, R.; VENTURA, J. A.; FERNANDES, P. M. B. |
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Afiliação: |
UFES; UFGRS; Jose Aires Ventura, Incaper; UFES. |
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Título: |
Bioinformatics approach to the study of the molecular behaviour of mealybug wilt of pineapple. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Acta Horticulturae, 1239, p. 177-184, 2019. |
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DOI: |
10.17660/ActaHortic.2019.1239.22 |
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Idioma: |
Inglês |
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Conteúdo: |
Mealybug wilt of pineapple (MWP) is a disease caused by the Pineapple mealybug wilt-associated virus (PMWaV) complex transmitted by Dysmicoccus brevipes and D. neobrevipes. MWP symptoms are characterized by root dessication, leaf wilting and consequent failure to produce a fruit. The molecular mechanisms involved in the pineapple-PMWaV interaction for MWP symptomatology are still unclear. In this work, mRNAs of asymptomatic and symptomatic pineapple plants were evaluated using Illumina RNA sequencing technology. From a total of 79 million reads per sample, 16,097 genes were identified using STAR aligner and HTseq for paired-end files. Differentially expressed genes (DEGs) between the evaluated groups were estimated using DESeq2 and edgeR, with an FDR cutoff of ≤0.05. A total of 207 DEGs were detected, with 61 upregulated and 146 downregulated in symptomatic plants infected by PMWaV-2. The methodologies improved by the assays presented in this article and the detected DEGs can substantiate further researches with pineapple and the MWP disease. |
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Palavras-Chave: |
Abacaxi. |
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Thesaurus NAL: |
Bioinformatics; DESeq2; EdgeR; Pineapple; PMWaV; STAR; Transcriptomic. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01796naa a2200265 a 4500
001 1021431
005 2019-06-24
008 2019 bl uuuu u00u1 u #d
024 7 $a10.17660/ActaHortic.2019.1239.22$2DOI
100 1 $aPERON, F. N.
245 $aBioinformatics approach to the study of the molecular behaviour of mealybug wilt of pineapple.$h[electronic resource]
260 $c2019
520 $aMealybug wilt of pineapple (MWP) is a disease caused by the Pineapple mealybug wilt-associated virus (PMWaV) complex transmitted by Dysmicoccus brevipes and D. neobrevipes. MWP symptoms are characterized by root dessication, leaf wilting and consequent failure to produce a fruit. The molecular mechanisms involved in the pineapple-PMWaV interaction for MWP symptomatology are still unclear. In this work, mRNAs of asymptomatic and symptomatic pineapple plants were evaluated using Illumina RNA sequencing technology. From a total of 79 million reads per sample, 16,097 genes were identified using STAR aligner and HTseq for paired-end files. Differentially expressed genes (DEGs) between the evaluated groups were estimated using DESeq2 and edgeR, with an FDR cutoff of ≤0.05. A total of 207 DEGs were detected, with 61 upregulated and 146 downregulated in symptomatic plants infected by PMWaV-2. The methodologies improved by the assays presented in this article and the detected DEGs can substantiate further researches with pineapple and the MWP disease.
650 $aBioinformatics
650 $aDESeq2
650 $aEdgeR
650 $aPineapple
650 $aPMWaV
650 $aSTAR
650 $aTranscriptomic
653 $aAbacaxi
700 1 $aCALLONI, R.
700 1 $aVENTURA, J. A.
700 1 $aFERNANDES, P. M. B.
773 $tActa Horticulturae, 1239, p. 177-184, 2019.
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Registro original: |
Biblioteca Rui Tendinha (BRT) |
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Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
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Registro Completo |
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Biblioteca(s): |
Biblioteca Rui Tendinha. |
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Data corrente: |
19/05/2020 |
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Data da última atualização: |
19/05/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
SANTOS, A. L. P. dos; BRITO, C. C. R. de; MOREIRA, G. R.; GOMES-SILVA, F.; CUNHA FILHO, M.; COSTA, M. L. L. da; LEITE, L. A.; REIS, R. B.; PIMENTEL, P. G.; FIGUEIREDO, M. R. P. |
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Afiliação: |
André Luiz Pinto dos Santos; Cícero Carlos Ramos de Brito; Guilherme Rocha Moreira; Frank Gomes-Silva; Moacyr Cunha Filho; Maria Lindomárcia Leonardo da Costa; Leonardo Andrade Leite; Ronaldo Braga Reis; Patrícia Guimarães Pimentel; Mércia Regina Pereira de Figueiredo, Incaper. |
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Título: |
New model of evaluation of sunflower and corn silages by the in vitro gas production technique. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Semina: Ciências Agrárias, Londrina, v. 41, n. 4, p. 1373-1384, jul./ago. 2020. |
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Idioma: |
Inglês |
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Conteúdo: |
This study aimed to propose a model called Two-compartment Logistic-von Bertalanffy (LVB) and to identify among the proposed and Two-compartment Logistic (TL) models the one that has the best goodness of fit to the kinetic curve of cumulative gas production (CGP) of sunflower and corn silages alone and combined using the in vitro semi-automated gas production technique. A random block splitplot experimental design was employed in which the inoculums were the blocks, the incubation times were the split-plots, and the experimental diets were: CS - corn silage, SS - sunflower silage (as singleroughage), and their mixtures, i.e., 340SS (660 g kg-1 corn silage and 340 g kg-1 sunflower silage) and
660SS (340 g kg-1 corn silage and 660 g kg-1 sunflower silage). The parameters were estimated by the least squares method using the iterative Gauss-Newton process in the software R version 3.4.1.vThe criteria adopted were: adjusted coefficient of determination (R2 adj.), residual mean squares (RMS), mean absolute deviation (MAD), Akaike information criterion (AIC), Bayesian information criterion (BIC), and relative efficiency (RE). The TL model had higher R2 adj. values compared to LVB, however, such difference may be considered negligible. The LVB model had RE above one, which indicates it is superior to the TL model, in addition to the lowest RMS, MAD, AIC, and BIC values, The Two compartment Logistic-von Bertalanffy model had the best fit to describe the CGP over time according to the methodology and conditions of the present study.
O objetivo deste trabalho é propor um modelo denominado Logístico-Von Bertalanffy bicompartimental (LVB) e identificar entre os modelos proposto e Logístico bicompartimental (LB), aquele apresenta maior qualidade de ajuste à curva de cinética de produção cumulativa de gases (PCG) das silagens de girassol, de milho e de suas misturas, através da técnica ?in vitro? semiautomática de produção de gases.
O delineamento experimental foi em blocos ao acaso, onde os inóculos equivalem aos blocos, os tempos de incubação às subparcelas, e as dietas experimentais foram: SM - silagem de milho; 340SG - 660 g kg-1 de silagem de milho e 340 g kg-1 de silagem de girassol; 660SG - 340 g kg-1 de silagem de milho e 660 g kg-1 de silagem de girassol e SG - silagem de girassol. Os parâmetros foram estimados pelo método de mínimos quadrados utilizando o processo iterativo de Gauss-Newton, a partir do programa R versão 3.4.1. Os critérios adotados foram: o coeficiente de determinação ajustado (R2adj.), quadrado médio do resíduo (QMR), desvio médio absoluto (DMA), critério de informação de Akaike (AIC), critério
Bayesiano de Schwarz (BIC) e a eficiência relativa (ER). O modelo LB apresentou os maiores valores de R2 adj. comparado ao LVB, porém, essa diferença entre eles pode ser considerada desprezível. O modelo LVB apresentou RE maior que um, indicando superioridade em relação ao LB, além disso, obteve os menores valores de QMR, DMA, AIC e BIC. Dentre os modelos ajustados, o modelo Logístico-Von Bertalanffy bicompartimental apresentou melhor qualidade de ajuste para descrever a PCG ao longo do tempo, de acordo com a metodologia e condições em que foi desenvolvido o presente estudo. MenosThis study aimed to propose a model called Two-compartment Logistic-von Bertalanffy (LVB) and to identify among the proposed and Two-compartment Logistic (TL) models the one that has the best goodness of fit to the kinetic curve of cumulative gas production (CGP) of sunflower and corn silages alone and combined using the in vitro semi-automated gas production technique. A random block splitplot experimental design was employed in which the inoculums were the blocks, the incubation times were the split-plots, and the experimental diets were: CS - corn silage, SS - sunflower silage (as singleroughage), and their mixtures, i.e., 340SS (660 g kg-1 corn silage and 340 g kg-1 sunflower silage) and
660SS (340 g kg-1 corn silage and 660 g kg-1 sunflower silage). The parameters were estimated by the least squares method using the iterative Gauss-Newton process in the software R version 3.4.1.vThe criteria adopted were: adjusted coefficient of determination (R2 adj.), residual mean squares (RMS), mean absolute deviation (MAD), Akaike information criterion (AIC), Bayesian information criterion (BIC), and relative efficiency (RE). The TL model had higher R2 adj. values compared to LVB, however, such difference may be considered negligible. The LVB model had RE above one, which indicates it is superior to the TL model, in addition to the lowest RMS, MAD, AIC, and BIC values, The Two compartment Logistic-von Bertalanffy model had the best fit to describe the CGP over time according to the... Mostrar Tudo |
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Palavras-Chave: |
Alimentos alternativos; Cilagem; Forragem; Gás; Girassol; Milho; Modelo proposto; Rúmen; Vacas leiteiras. |
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Thesaurus NAL: |
Alternative feed; Forage; Proposed model; Rumen. |
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Categoria do assunto: |
-- |
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URL: |
https://biblioteca.incaper.es.gov.br/digital/bitstream/123456789/4019/1/silagem-girassol-milho-mercia.pdf
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Marc: |
LEADER 04350naa a2200385 a 4500
001 1022210
005 2020-05-19
008 2020 bl uuuu u00u1 u #d
100 1 $aSANTOS, A. L. P. dos
245 $aNew model of evaluation of sunflower and corn silages by the in vitro gas production technique.$h[electronic resource]
260 $c2020
520 $aThis study aimed to propose a model called Two-compartment Logistic-von Bertalanffy (LVB) and to identify among the proposed and Two-compartment Logistic (TL) models the one that has the best goodness of fit to the kinetic curve of cumulative gas production (CGP) of sunflower and corn silages alone and combined using the in vitro semi-automated gas production technique. A random block splitplot experimental design was employed in which the inoculums were the blocks, the incubation times were the split-plots, and the experimental diets were: CS - corn silage, SS - sunflower silage (as singleroughage), and their mixtures, i.e., 340SS (660 g kg-1 corn silage and 340 g kg-1 sunflower silage) and 660SS (340 g kg-1 corn silage and 660 g kg-1 sunflower silage). The parameters were estimated by the least squares method using the iterative Gauss-Newton process in the software R version 3.4.1.vThe criteria adopted were: adjusted coefficient of determination (R2 adj.), residual mean squares (RMS), mean absolute deviation (MAD), Akaike information criterion (AIC), Bayesian information criterion (BIC), and relative efficiency (RE). The TL model had higher R2 adj. values compared to LVB, however, such difference may be considered negligible. The LVB model had RE above one, which indicates it is superior to the TL model, in addition to the lowest RMS, MAD, AIC, and BIC values, The Two compartment Logistic-von Bertalanffy model had the best fit to describe the CGP over time according to the methodology and conditions of the present study. O objetivo deste trabalho é propor um modelo denominado Logístico-Von Bertalanffy bicompartimental (LVB) e identificar entre os modelos proposto e Logístico bicompartimental (LB), aquele apresenta maior qualidade de ajuste à curva de cinética de produção cumulativa de gases (PCG) das silagens de girassol, de milho e de suas misturas, através da técnica ?in vitro? semiautomática de produção de gases. O delineamento experimental foi em blocos ao acaso, onde os inóculos equivalem aos blocos, os tempos de incubação às subparcelas, e as dietas experimentais foram: SM - silagem de milho; 340SG - 660 g kg-1 de silagem de milho e 340 g kg-1 de silagem de girassol; 660SG - 340 g kg-1 de silagem de milho e 660 g kg-1 de silagem de girassol e SG - silagem de girassol. Os parâmetros foram estimados pelo método de mínimos quadrados utilizando o processo iterativo de Gauss-Newton, a partir do programa R versão 3.4.1. Os critérios adotados foram: o coeficiente de determinação ajustado (R2adj.), quadrado médio do resíduo (QMR), desvio médio absoluto (DMA), critério de informação de Akaike (AIC), critério Bayesiano de Schwarz (BIC) e a eficiência relativa (ER). O modelo LB apresentou os maiores valores de R2 adj. comparado ao LVB, porém, essa diferença entre eles pode ser considerada desprezível. O modelo LVB apresentou RE maior que um, indicando superioridade em relação ao LB, além disso, obteve os menores valores de QMR, DMA, AIC e BIC. Dentre os modelos ajustados, o modelo Logístico-Von Bertalanffy bicompartimental apresentou melhor qualidade de ajuste para descrever a PCG ao longo do tempo, de acordo com a metodologia e condições em que foi desenvolvido o presente estudo.
650 $aAlternative feed
650 $aForage
650 $aProposed model
650 $aRumen
653 $aAlimentos alternativos
653 $aCilagem
653 $aForragem
653 $aGás
653 $aGirassol
653 $aMilho
653 $aModelo proposto
653 $aRúmen
653 $aVacas leiteiras
700 1 $aBRITO, C. C. R. de
700 1 $aMOREIRA, G. R.
700 1 $aGOMES-SILVA, F.
700 1 $aCUNHA FILHO, M.
700 1 $aCOSTA, M. L. L. da
700 1 $aLEITE, L. A.
700 1 $aREIS, R. B.
700 1 $aPIMENTEL, P. G.
700 1 $aFIGUEIREDO, M. R. P.
773 $tSemina: Ciências Agrárias, Londrina$gv. 41, n. 4, p. 1373-1384, jul./ago. 2020.
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