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 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
18/03/2016 |
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Data da última atualização: |
18/04/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
TIAN, J.; DIAO, H.; LIANG, L.; ARTHURS, S.; HAO, C.; MASCARIN, G. M.; MA, R. |
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Afiliação: |
JING TIAN, SHANXI AGRICULTURAL UNIVERSITY, China; HONGLIANG DIAO, SHANXI AGRICULTURAL UNIVERSITY, China; LI LIANG, SHANXI AGRICULTURAL UNIVERSITY, China; STEVEN ARTHURS, UNIVERSITY OF FLORIDA, USA; CHI HAO, SHANXI AGRICULTURAL UNIVERSITY, China; GABRIEL MOURA MASCARIN, CNPAF; RUIYAN MA, SHANXI AGRICULTURAL UNIVERSITY, China. |
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Título: |
Host plants influence susceptibility of whitefly Bemisia tabaci (Hemiptera: Aleyrodidae) to the entomopathogenic fungus Isaria fumosorosea (Hypocreales: Cordycipitaceae). |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Biocontrol Science and Technology, v. 26, n. 4, p. 528-538, 2016. |
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DOI: |
10.1080/09583157.2015.1129393 |
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Idioma: |
Inglês |
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Conteúdo: |
We quantified the tritrophic effect of host plant on the susceptibility of the sweetpotato whitefly Bemisia tabaci (Genn.) to a fungal pathogen in the laboratory. Second-instar whiteflies reared on cucumber, eggplant, tomato and bean plants for six generations were exposed to conidial suspensions of Isaria fumosorosea isolate IF-1106. Our results did not detect differences in response (proportional survival or median lethal time, LT50 days) among insect populations derived from different plants that were treated with 107 conidia/ml. However, at concentrations <- 5×106 conidia/ml, whiteflies reared on bean and tomato died significantly more quickly (i.e. LT50 of 4?5 days) compared with cucumber and eggplant reared populations (5?7 days). Bean and tomato-reared populations were also more susceptible to mycosis (LC50 = 6 × 105 conidia/ml) compared with those reared on cucumber (1.9 × 106 conidia/ml) and eggplant (1.5 × 106 conidia/ml). A separate study confirmed that this differential response of whitefly populations to I. fumosorosea was not explained by differences in deposition rate of conidia on leaf surfaces (i.e. a dosage effect). Our findings show that host plants affect the pathogenicity and virulence of a herbivore pathogen, but depend on the rate of exposure (inoculum) applied. |
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Thesagro: |
Bemisia tabaci; Fungo entomogeno; Mosca branca. |
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Thesaurus Nal: |
Isaria fumosorosea. |
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Categoria do assunto: |
O Insetos e Entomologia |
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Marc: |
LEADER 02125naa a2200253 a 4500
001 2041326
005 2016-04-18
008 2016 bl uuuu u00u1 u #d
024 7 $a10.1080/09583157.2015.1129393$2DOI
100 1 $aTIAN, J.
245 $aHost plants influence susceptibility of whitefly Bemisia tabaci (Hemiptera$bAleyrodidae) to the entomopathogenic fungus Isaria fumosorosea (Hypocreales: Cordycipitaceae).$h[electronic resource]
260 $c2016
520 $aWe quantified the tritrophic effect of host plant on the susceptibility of the sweetpotato whitefly Bemisia tabaci (Genn.) to a fungal pathogen in the laboratory. Second-instar whiteflies reared on cucumber, eggplant, tomato and bean plants for six generations were exposed to conidial suspensions of Isaria fumosorosea isolate IF-1106. Our results did not detect differences in response (proportional survival or median lethal time, LT50 days) among insect populations derived from different plants that were treated with 107 conidia/ml. However, at concentrations <- 5×106 conidia/ml, whiteflies reared on bean and tomato died significantly more quickly (i.e. LT50 of 4?5 days) compared with cucumber and eggplant reared populations (5?7 days). Bean and tomato-reared populations were also more susceptible to mycosis (LC50 = 6 × 105 conidia/ml) compared with those reared on cucumber (1.9 × 106 conidia/ml) and eggplant (1.5 × 106 conidia/ml). A separate study confirmed that this differential response of whitefly populations to I. fumosorosea was not explained by differences in deposition rate of conidia on leaf surfaces (i.e. a dosage effect). Our findings show that host plants affect the pathogenicity and virulence of a herbivore pathogen, but depend on the rate of exposure (inoculum) applied.
650 $aIsaria fumosorosea
650 $aBemisia tabaci
650 $aFungo entomogeno
650 $aMosca branca
700 1 $aDIAO, H.
700 1 $aLIANG, L.
700 1 $aARTHURS, S.
700 1 $aHAO, C.
700 1 $aMASCARIN, G. M.
700 1 $aMA, R.
773 $tBiocontrol Science and Technology$gv. 26, n. 4, p. 528-538, 2016.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Biblioteca |
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Origem |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
19/12/2014 |
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Data da última atualização: |
24/08/2015 |
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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: |
MUNOZ, P. R.; RESENDE JUNIOR, M. F. R.; HUBER, D. A.; QUESADA, T.; RESENDE, M. D. V. de; NEALE, D. B.; WEGRZYN, J. L.; KIRST, M.; PETER, G. F. |
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Afiliação: |
Patricio R. Munoz, University of Florida; Marcio F. R. Resende Junior, University of Florida; Dudley A. Huber, University of Florida; Tania Quesada, University of Florida; MARCOS DEON VILELA DE RESENDE, CNPF; David B. Neale, University of California; Jill L. Wegrzyn, University of California; Matias Kirst, University of Florida; Gary F. Peter, University of Florida. |
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Título: |
Genomic relationship matrix for correcting pedigree errors in breeding populations: impact on genetic parameters and genomic selection accuracy. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Crop Science, v. 54, p. 115-1123, May/June 2014. |
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Idioma: |
Inglês |
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Conteúdo: |
Quantitative genetic analyses aim to estimate genetic parameters and breeding values to select superior parents, families, and individuals. For these estimates a relationship matrix derived from the pedigree typically is used in a mixed model framework. However, breeding is a complex, multistep process and errors in the pedigree are common. Because errors reduce the accuracy of genetic parameter estimates and affect genetic gain, it is important to correct these errors. Here we show that a realized relationship matrix (RRM) derived from single nucleotide polymorphism markers based on the normality of the relationship coefficients can be used to correct pedigree errors. For a loblolly pine (Pinus taeda L.) breeding population, errors in the pedigree were detected and corrected with the RRM. With the corrected pedigree, best linear unbiased predictor (BLUP) models fit the data significantly better for 14 out of 15 traits evaluated, and the predictive ability of the genomic selection models using ridge regression BLUP increased for 13 traits. The corrected pedigree based on the normality of the relationship coefficients improves accuracy of traditional estimations of heritability and breeding values as well as genomic selection predictions. As more breeding programs begin to use genomic selection, we recommend first using the dense panel of markers to correct pedigree errors and then using the improved information to develop genomic selection prediction models. |
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Palavras-Chave: |
Genética quantitativa; Melhoramento genético. |
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Thesagro: |
Parâmetro Genético. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/114177/1/2014-API-Deon-GenomicRelationship.pdf
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Marc: |
LEADER 02285naa a2200253 a 4500
001 2003359
005 2015-08-24
008 2014 bl uuuu u00u1 u #d
100 1 $aMUNOZ, P. R.
245 $aGenomic relationship matrix for correcting pedigree errors in breeding populations$bimpact on genetic parameters and genomic selection accuracy.$h[electronic resource]
260 $c2014
520 $aQuantitative genetic analyses aim to estimate genetic parameters and breeding values to select superior parents, families, and individuals. For these estimates a relationship matrix derived from the pedigree typically is used in a mixed model framework. However, breeding is a complex, multistep process and errors in the pedigree are common. Because errors reduce the accuracy of genetic parameter estimates and affect genetic gain, it is important to correct these errors. Here we show that a realized relationship matrix (RRM) derived from single nucleotide polymorphism markers based on the normality of the relationship coefficients can be used to correct pedigree errors. For a loblolly pine (Pinus taeda L.) breeding population, errors in the pedigree were detected and corrected with the RRM. With the corrected pedigree, best linear unbiased predictor (BLUP) models fit the data significantly better for 14 out of 15 traits evaluated, and the predictive ability of the genomic selection models using ridge regression BLUP increased for 13 traits. The corrected pedigree based on the normality of the relationship coefficients improves accuracy of traditional estimations of heritability and breeding values as well as genomic selection predictions. As more breeding programs begin to use genomic selection, we recommend first using the dense panel of markers to correct pedigree errors and then using the improved information to develop genomic selection prediction models.
650 $aParâmetro Genético
653 $aGenética quantitativa
653 $aMelhoramento genético
700 1 $aRESENDE JUNIOR, M. F. R.
700 1 $aHUBER, D. A.
700 1 $aQUESADA, T.
700 1 $aRESENDE, M. D. V. de
700 1 $aNEALE, D. B.
700 1 $aWEGRZYN, J. L.
700 1 $aKIRST, M.
700 1 $aPETER, G. F.
773 $tCrop Science$gv. 54, p. 115-1123, May/June 2014.
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Embrapa Florestas (CNPF) |
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