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| Registros recuperados : 19 | |
| 18. |  | FRANCI, L.; SHANER, G.; BERGSTROM, G.; GILBERT, J.; PEDERSEN, W.; DILL-MACKY, R.; SWEETS, L.; CORWIN, B.; JIN, Y.; GALLENBERG, D.; WIERSMA, J. Daily inoculum levels of Gibberella zeae on wheat spikes. Plant Disease, St. Paul, v. 83, n. 7, p. 662-666, July 1999.| Biblioteca(s): Embrapa Trigo. |
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| 19. | | GEISER, D. M.; AL-HATMI, A. M. S.; AOKI, T.; ARIE, T.; BALMAS, V.; BARNES, I.; BERGSTROM, G. C.; BHATTACHARYYA, M. K.; BLOMQUIST, C. L.; BOWDEN, R. L.; BRANKOVICS, B.; BROWN, D. W.; BURGESS, L. W.; BUSHLEY, K.; BUSMAN, M.; CANO-LIRA, J. F.; CARRILLO, J. D.; CHANG, H. X.; CHEN, C. Y.; CHEN, W.; CHILVERS, M.; CHULZE, S.; COLEMAN, J. J.; CUOMO, C. A.; BEER, Z. W. de; HOOG, G. S. de; CASTILLO-MÚNERA, J. del; PONTE, E. M. del; DIÉGUEZ-URIBEONDO, J.; PIETRO, A. di; EDEL-HERMANN, V.; ELMER, W. H.; EPSTEIN, L.; ESKALEN, A.; ESPOSTO, M. C.; EVERTS, K. L.; FERNÁNDEZ-PAVÍA, S. P.; SILVA, G. F. da; FOROUD, N. A.; FOURIE, G.; FRANDSEN, R. J. N.; FREEMAN, S.; FREITAG, M.; FRENKEL, O.; FULLER, K. K.; GAGKAEVA, T.; GARDINER, D. M.; GLENN, A. E.; GOLD, S. E.; GORDON, T. R.; GREGORY, N. F.; GRYZENHOUT, M.; GUARRO, J.; GUGINO, B. K.; GUTIERREZ, S.; HAMMOND-KOSACK, K. E.; HARRIS, L. J.; HOMA, M.; HONG, C. F.; HORNOK, L.; HUANG, J. W.; ILKIT, M.; JACOBS, A.; JIANG, C.; JIMÉNEZ-GASCO, M. del M.; KANG, S.; KASSON, M. T.; KAZAN, K.; KENNELL, J. C.; KIM, H. S.; KISTLER, H. C.; KULDAU, G. A.; KULIK, T.; KURZAI, O.; LARABA, I.; LAURENCE, M. H.; LEE, T.; LEE, Y. W.; LESLIE, J. F.; LIEW, E. C. Y.; LOFTON, L. W.; LOGRIECO, A. F.; LÓPEZ-BERGES, M. S.; LUQUE, A. G.; LYSØE, E.; MA, L. J.; MARRA, R. E.; MARTIN, F. N.; MAY, S. R.; McCORMICK, S. P.; McGEE, C.; MEIS, J. F.; MIGHELI, Q.; NOR, N. M. I. M.; MONOD, M.; MORETTI, A.; MOSTERT, D.; MULÈ, G.; MUNAUT, F.; MUNKVOLD, G. P.; NICHOLSON, P.; NUCCI, M.; O'DONNELL, K.; PASQUALI, M.; PFENNING, L. H.; PRIGITANO, A.; PROCTOR, R. H.; RANQUE, S.; REHNER, S. A.; REP, M.; RODRÍGUEZ-ALVARADO, G.; ROSE, L. J.; ROTH, M. G.; RUIZ-ROLDÁN, C.; SALEH, A. A.; SALLEH, B.; SANG, H.; SCANDIANI, M. M.; SCAUFLAIRE, J.; SCHMALE III, D. G.; SHORT, D. P. G.; SISIC, A.; SMITH, J. A.; SMYTH, C. W.; SON, H.; SPAHR, E.; STAJICH, J. E.; STEENKAMP, E.; STEINBERG, C.; SUBRAMANIAM, R.; SUGA, H.; SUMMERELL, B. A.; SUSCA, A.; SWETT, C. L.; TOOMAJIAN, C.; TORRES-CRUZ, T. J.; TORTORANO, A. M.; URBAN, M.; VAILLANCOURT, L. J.; VALLAD, G. E.; LEE, T. A. J. van der; VANDERPOOL, D.; DIEPENINGEN, A. D. van; VAUGHAN, M. M.; VENTER, E.; VERMEULEN, M.; VERWEIJ, P. E.; VILJOEN, A.; WAALWIJK, C.; WALLACE, E. C.; WALTHER, G.; WANG, J.; WARD, T. J.; WICKES, B. L.; WIEDERHOLD, N. P.; WINGFIELD, M. J.; WOOD, A. K. M.; XU, J. R.; YANG, X. B.; YLI-MATTILA, T.; YUN, S. H.; ZAKARIA, L.; ZHANG, H.; ZHANG, N.; ZHAN, S. X.; ZHAN, X. Phylogenomic analysis of a 55.1 kb 19-gene dataset resolves a monophyletic Fusarium that includes the Fusarium solani Species Complex. Phytopathology, v. 111, n. 7, p. 1064-1079, 2021.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| Registros recuperados : 19 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
19/11/2015 |
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Data da última atualização: |
21/06/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
ALMEIDA, A. M. R.; HAU, B.; AMORIM, L.; BERGAMIN FILHO, A.; MARIANO, J. C. |
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Afiliação: |
ALVARO MANUEL RODRIGUES ALMEIDA, CNPSO; BERNHARD HAU, Leibniz University Hannover; LILIAN AMORIM, ESALQ; ARMANDO BERGAMIN FILHO, ESALQ; JOAQUIM C. MARIANO, COAMO. |
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Título: |
Tillage system effect on the epidemic of soybean brown spot. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Tropical Plant Pathology, v. 40, Oct. 2015. |
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ISSN: |
1983-2052 |
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DOI: |
10.1007/s40858-015-0052-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Six field experiments were carried out during the summers of 1997 to 2003 to evaluate disease progress of soybean brown spot caused by Septoria glycines considering two tillage systems, conventional and no-tillage (wheat was cultivated during winter in all plots). Two logistic models were fitted to the disease progress data: (i) a logistic model with constant disease progress rate r [y=1/(1+(1/y0-1)exp(-rt)), where y0 is the initial disease level at time t=0] and (ii) a logistic model with an exponentially increasing progress rate r(t)=r0 ebt [y=1/(1+(1/y0-1) exp(r0/b(1-ebt))), where r0 is the initial progress rate at time t=0, b the rate increasing parameter, and y0 again the initial disease level]. The logistic model with constant rate underestimated disease incidence on the first disease assessment in nine out of twelve epidemics. The logistic model with an increasing rate gave a better fit to all disease progress curves (R2 between 0.90 and 0.99; no pattern in the residuals). According to this model, y0 was in most cases (four out of six) significantly smaller in the plots with no-tillage compared with conventional tillage, but no differences were detected in the initial rate parameter r0 and the rate increasing parameter b (with one exception). It is proposed that these results are due to higher susceptibility of old leaflets compared with young leaflets, as demonstrated by artificial inoculation: In four laboratory experiments the mean brown spot severity was 16.7 % on old leaflets but only 3.9 % on young leaflets. MenosSix field experiments were carried out during the summers of 1997 to 2003 to evaluate disease progress of soybean brown spot caused by Septoria glycines considering two tillage systems, conventional and no-tillage (wheat was cultivated during winter in all plots). Two logistic models were fitted to the disease progress data: (i) a logistic model with constant disease progress rate r [y=1/(1+(1/y0-1)exp(-rt)), where y0 is the initial disease level at time t=0] and (ii) a logistic model with an exponentially increasing progress rate r(t)=r0 ebt [y=1/(1+(1/y0-1) exp(r0/b(1-ebt))), where r0 is the initial progress rate at time t=0, b the rate increasing parameter, and y0 again the initial disease level]. The logistic model with constant rate underestimated disease incidence on the first disease assessment in nine out of twelve epidemics. The logistic model with an increasing rate gave a better fit to all disease progress curves (R2 between 0.90 and 0.99; no pattern in the residuals). According to this model, y0 was in most cases (four out of six) significantly smaller in the plots with no-tillage compared with conventional tillage, but no differences were detected in the initial rate parameter r0 and the rate increasing parameter b (with one exception). It is proposed that these results are due to higher susceptibility of old leaflets compared with young leaflets, as demonstrated by artificial inoculation: In four laboratory experiments the mean brown spot severity was 16.7 % on... Mostrar Tudo |
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Thesagro: |
Doença de planta; Fungo; Soja. |
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Thesaurus NAL: |
Fungal brown spot; Fungal diseases of plants; Soybeans. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/133534/1/tillage-system-effect-....pdf
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Marc: |
LEADER 02268naa a2200265 a 4500
001 2029088
005 2017-06-21
008 2015 bl uuuu u00u1 u #d
022 $a1983-2052
024 7 $a10.1007/s40858-015-0052-6$2DOI
100 1 $aALMEIDA, A. M. R.
245 $aTillage system effect on the epidemic of soybean brown spot.$h[electronic resource]
260 $c2015
520 $aSix field experiments were carried out during the summers of 1997 to 2003 to evaluate disease progress of soybean brown spot caused by Septoria glycines considering two tillage systems, conventional and no-tillage (wheat was cultivated during winter in all plots). Two logistic models were fitted to the disease progress data: (i) a logistic model with constant disease progress rate r [y=1/(1+(1/y0-1)exp(-rt)), where y0 is the initial disease level at time t=0] and (ii) a logistic model with an exponentially increasing progress rate r(t)=r0 ebt [y=1/(1+(1/y0-1) exp(r0/b(1-ebt))), where r0 is the initial progress rate at time t=0, b the rate increasing parameter, and y0 again the initial disease level]. The logistic model with constant rate underestimated disease incidence on the first disease assessment in nine out of twelve epidemics. The logistic model with an increasing rate gave a better fit to all disease progress curves (R2 between 0.90 and 0.99; no pattern in the residuals). According to this model, y0 was in most cases (four out of six) significantly smaller in the plots with no-tillage compared with conventional tillage, but no differences were detected in the initial rate parameter r0 and the rate increasing parameter b (with one exception). It is proposed that these results are due to higher susceptibility of old leaflets compared with young leaflets, as demonstrated by artificial inoculation: In four laboratory experiments the mean brown spot severity was 16.7 % on old leaflets but only 3.9 % on young leaflets.
650 $aFungal brown spot
650 $aFungal diseases of plants
650 $aSoybeans
650 $aDoença de planta
650 $aFungo
650 $aSoja
700 1 $aHAU, B.
700 1 $aAMORIM, L.
700 1 $aBERGAMIN FILHO, A.
700 1 $aMARIANO, J. C.
773 $tTropical Plant Pathology$gv. 40, Oct. 2015.
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Embrapa Soja (CNPSO) |
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