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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
Fecha : |
20/11/2015 |
Actualizado : |
04/11/2019 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
DÍAZ DE ACKERMANN, M.; KOHLI, M.M. |
Afiliación : |
MARTHA DÍAZ DE ACKERMANN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; M.M. KOHLI, CAPECO (Cámara Paraguaya de Exportadores y Comerciantes de Cereales y Oleaginosos). |
Título : |
Chemical Control of Fusarium Head Blight of Wheat. |
Fecha de publicación : |
2013 |
Fuente / Imprenta : |
IN: ALCONADA MAGLIANO, T.M.; CHULZE, S.N. (Ed.). Fusarium Head Blight in Latin America. Dordrecht, NL: Springer, 2013, p. 263-297. (Chapter 11). |
ISBN : |
978-94-007-7090-4 (print) // 978-94-007-7091-1 (eBook) |
DOI : |
10.1007/978-94-007-7091-1_11 |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
The chemical control of Fusarium Head Blight (FHB) using fungicide has remained an unresolved challenge worldwide. Experiments using fungicides to control the disease have shown large difference of effi ciency due to multiple factors (fungicides, moment and method of application, nozzle types, and weather conditions at the time of application, etc.) responsible for disease development. Besides adequate disease control, the fungicides are also expected to act on toxin production. Results have shown that highly susceptible cultivars cannot be fully protected under severe epidemic conditions. For this reason these cultivars need to be withdrawn from commercial production and chemical control be applied as
preventive measure based on the FHB developmental models and weather forecasts. Presently one of the most effi cient fungicides to control FHB in the Southern Cone region is Metconazole followed by the Tebuconazole. Other fungicides (Prochloraz, Thiabendazole, Carbendazim, etc.) used earlier are less effi cient compared to the triazoles mentioned earlier. Under experimental conditions, nozzle types like Twinjet 60 or Turbo TeeJet Duo have shown an increase the disease control effi cacy. The earliest time to spray is after complete heading, beginning of fl owering or mid fl owering depending on the year and weather conditions.
© Springer Science+Business Media Dordrecht 2013. All rights are reserved. |
Palabras claves : |
CONTROL CON FUNGICIDAS; CONTROL QUÍMICO; FHB (FUSARIUM HEALD BLIGHT); FUSARIOSIS DE LA ESPIGA; METCONAZOLE; TEBUCONAZOLE; TRIAZOLES. |
Thesagro : |
TRIGO; TRITICUM. |
Asunto categoría : |
F30 Genética vegetal y fitomejoramiento H20 Enfermedades de las plantas |
Marc : |
LEADER 02225naa a2200253 a 4500 001 1053966 005 2019-11-04 008 2013 bl uuuu u00u1 u #d 024 7 $a10.1007/978-94-007-7091-1_11$2DOI 100 1 $aDÍAZ DE ACKERMANN, M. 245 $aChemical Control of Fusarium Head Blight of Wheat. 260 $c2013 520 $aABSTRACT. The chemical control of Fusarium Head Blight (FHB) using fungicide has remained an unresolved challenge worldwide. Experiments using fungicides to control the disease have shown large difference of effi ciency due to multiple factors (fungicides, moment and method of application, nozzle types, and weather conditions at the time of application, etc.) responsible for disease development. Besides adequate disease control, the fungicides are also expected to act on toxin production. Results have shown that highly susceptible cultivars cannot be fully protected under severe epidemic conditions. For this reason these cultivars need to be withdrawn from commercial production and chemical control be applied as preventive measure based on the FHB developmental models and weather forecasts. Presently one of the most effi cient fungicides to control FHB in the Southern Cone region is Metconazole followed by the Tebuconazole. Other fungicides (Prochloraz, Thiabendazole, Carbendazim, etc.) used earlier are less effi cient compared to the triazoles mentioned earlier. Under experimental conditions, nozzle types like Twinjet 60 or Turbo TeeJet Duo have shown an increase the disease control effi cacy. The earliest time to spray is after complete heading, beginning of fl owering or mid fl owering depending on the year and weather conditions. © Springer Science+Business Media Dordrecht 2013. All rights are reserved. 650 $aTRIGO 650 $aTRITICUM 653 $aCONTROL CON FUNGICIDAS 653 $aCONTROL QUÍMICO 653 $aFHB (FUSARIUM HEALD BLIGHT) 653 $aFUSARIOSIS DE LA ESPIGA 653 $aMETCONAZOLE 653 $aTEBUCONAZOLE 653 $aTRIAZOLES 700 1 $aKOHLI, M.M. 773 $tIN: ALCONADA MAGLIANO, T.M.; CHULZE, S.N. (Ed.). Fusarium Head Blight in Latin America. Dordrecht, NL: Springer, 2013, p. 263-297. (Chapter 11).
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INIA Las Brujas (LB) |
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Biblioteca (s) : |
INIA Tacuarembó. |
Fecha actual : |
10/02/2021 |
Actualizado : |
11/02/2021 |
Tipo de producción científica : |
Trabajos en Congresos/Conferencias |
Autor : |
BRITO, L.F; BERRY, D.; LARROQUE, H.; SCHENKEI, F.S.; CIAPPESONI, G.; O’BRIEN, A.; TORTEREAU, F.; UGARTE, E.; PALHIERE, I.; BAPST, B.; JAKOBSEN, J.; ANTONAKOS, G.; KOMINAKIS, A.; CLEMENT, V.; BRUNI, G.; LOYWYCK, V.; MASSENDER, E.; OLIVEIRA, H.R.; POSTA, J.; ASTRUC, J.M. |
Afiliación : |
L.F. BRITO, University of Guelph, Guelph, Canada; D. BERRY; H. LARROQUE, INRAE, Toulouse, France; F.S. SCHENKEL, University of Guelph, Guelph, Canada; CARLOS GABRIEL CIAPPESONI SCARONE, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; A. O’BRIEN, TEAGASC, Fermoy, Ireland; F. TORTEREAU, INRAE, Toulouse, France; E. UGARTE, 5NEIKER, Vizcaya, Spain; I. PALHIERE, INRAE, Toulouse, France; B. BAPST, Qualitas AG, Zug, Switzerland; J. JAKOBSEN, NSG, Norway; G. ANTONAKOS, Frizarta, Agrinio, Greece; A. KOMINAKIS, Frizarta, Agrinio, Greece; V. CLEMENT, IDELE, Toulouse, France; G. BRUNI, ARAL, Crema, Italy; V. LOYWYCK, IDELE, Toulouse, France,; E. MASSENDER, University of Guelph, Guelph, Canada; H.R. OLIVEIRA, University of Guelph, Guelph, Canada; J. POSTA, ARAL, Crema, Italy; J.M. ASTRUC, IDELE, Toulouse, France. |
Título : |
Genetic evaluation systems and breeding programs in sheep and goats: an international perspective. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Annual Meeting of the European Federation of Animal Science, 17., No. 26, 2020. Virtual Meeting 1-4 December, 2020. DOI: DOI: 10.3920/978-90-8686-900-8. |
Páginas : |
p. 560 |
DOI : |
10.3920/978-90-8686-900-8. |
Idioma : |
Español |
Contenido : |
Genetic selection has been a key tool for improving productive performance in small ruminant populations around the world, especially in Europe. This has been achieved through selective breeding for numerous traits, using diverse genetic evaluation systems and breeding schemes. Knowledge of the alternative approaches taken is paramount to the design of efficient and integrated genomic breeding programs. In this study, we summarised information on 48 sheep and goat breeding programs, genetic and genomic evaluation systems and resources available in 12 countries involved in the SMARTER project. This was done using published reports and surveys distributed to all partners. Responses to the surveys reveals information for more than 9, 16, and 20 dairy goat, dairy sheep, and meat sheep breeds involved in genetic schemes, respectively, with ~3,083,562 animals included in data collection schemes. The main groups of traits recorded across countries are: (1) milk yield and composition, mastitis indicators, udder and
body conformation, and reproduction in dairy sheep and dairy goats; and (2) growth, reproduction, health, ultrasound, wool, and carcass in meat sheep. Seven countries have progeny testing schemes, but only 5 use artificial insemination. There are numerous challenges to be addressed (e.g. disparity of trait recording, SNP panels, statistical models used, joining pedigrees across countries as well as grouping breeds based on genetic similarity, and an average of ~30% of animals with unknown sires). However, there are many opportunities to use the current resources and develop collaborative approaches to optimise selection for novel breeding goals such as resilience and efficiency in small ruminants across countries. MenosGenetic selection has been a key tool for improving productive performance in small ruminant populations around the world, especially in Europe. This has been achieved through selective breeding for numerous traits, using diverse genetic evaluation systems and breeding schemes. Knowledge of the alternative approaches taken is paramount to the design of efficient and integrated genomic breeding programs. In this study, we summarised information on 48 sheep and goat breeding programs, genetic and genomic evaluation systems and resources available in 12 countries involved in the SMARTER project. This was done using published reports and surveys distributed to all partners. Responses to the surveys reveals information for more than 9, 16, and 20 dairy goat, dairy sheep, and meat sheep breeds involved in genetic schemes, respectively, with ~3,083,562 animals included in data collection schemes. The main groups of traits recorded across countries are: (1) milk yield and composition, mastitis indicators, udder and
body conformation, and reproduction in dairy sheep and dairy goats; and (2) growth, reproduction, health, ultrasound, wool, and carcass in meat sheep. Seven countries have progeny testing schemes, but only 5 use artificial insemination. There are numerous challenges to be addressed (e.g. disparity of trait recording, SNP panels, statistical models used, joining pedigrees across countries as well as grouping breeds based on genetic similarity, and an average of ~30% of ani... Presentar Todo |
Palabras claves : |
OVINOS; SHEEP. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15000/1/Brito-et-al-EAAP2020.pdf
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Marc : |
LEADER 02889nam a2200385 a 4500 001 1061719 005 2021-02-11 008 2020 bl uuuu u01u1 u #d 024 7 $a10.3920/978-90-8686-900-8.$2DOI 100 1 $aBRITO, L.F 245 $aGenetic evaluation systems and breeding programs in sheep and goats$ban international perspective.$h[electronic resource] 260 $aAnnual Meeting of the European Federation of Animal Science, 17., No. 26, 2020. Virtual Meeting 1-4 December, 2020. DOI: DOI: 10.3920/978-90-8686-900-8.$c8686 300 $ap. 560 520 $aGenetic selection has been a key tool for improving productive performance in small ruminant populations around the world, especially in Europe. This has been achieved through selective breeding for numerous traits, using diverse genetic evaluation systems and breeding schemes. Knowledge of the alternative approaches taken is paramount to the design of efficient and integrated genomic breeding programs. In this study, we summarised information on 48 sheep and goat breeding programs, genetic and genomic evaluation systems and resources available in 12 countries involved in the SMARTER project. This was done using published reports and surveys distributed to all partners. Responses to the surveys reveals information for more than 9, 16, and 20 dairy goat, dairy sheep, and meat sheep breeds involved in genetic schemes, respectively, with ~3,083,562 animals included in data collection schemes. The main groups of traits recorded across countries are: (1) milk yield and composition, mastitis indicators, udder and body conformation, and reproduction in dairy sheep and dairy goats; and (2) growth, reproduction, health, ultrasound, wool, and carcass in meat sheep. Seven countries have progeny testing schemes, but only 5 use artificial insemination. There are numerous challenges to be addressed (e.g. disparity of trait recording, SNP panels, statistical models used, joining pedigrees across countries as well as grouping breeds based on genetic similarity, and an average of ~30% of animals with unknown sires). However, there are many opportunities to use the current resources and develop collaborative approaches to optimise selection for novel breeding goals such as resilience and efficiency in small ruminants across countries. 653 $aOVINOS 653 $aSHEEP 700 1 $aBERRY, D. 700 1 $aLARROQUE, H. 700 1 $aSCHENKEI, F.S. 700 1 $aCIAPPESONI, G. 700 1 $aO’BRIEN, A. 700 1 $aTORTEREAU, F. 700 1 $aUGARTE, E. 700 1 $aPALHIERE, I. 700 1 $aBAPST, B. 700 1 $aJAKOBSEN, J. 700 1 $aANTONAKOS, G. 700 1 $aKOMINAKIS, A. 700 1 $aCLEMENT, V. 700 1 $aBRUNI, G. 700 1 $aLOYWYCK, V. 700 1 $aMASSENDER, E. 700 1 $aOLIVEIRA, H.R. 700 1 $aPOSTA, J. 700 1 $aASTRUC, J.M.
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