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 | Acesso ao texto completo restrito à biblioteca da Embrapa Trigo. Para informações adicionais entre em contato com cnpt.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
12/05/2022 |
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Data da última atualização: |
12/05/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
FERREIRA, T. B.; PAVAN, W.; FERNANDES, J. M. C.; ASSENG, S.; OLIVEIRA, F. A. de; HÖLBIG, C. A.; PEQUENO, D. N. L.; DALMAGO, G. A.; ZANATTA, A. L.; HOOGENBOOM, G. |
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Afiliação: |
THIAGO BERTON FERREIRA, International Maize and Wheat Improvement Center; WILLINGTHON PAVAN, International Fertilizer Development Center; JOSE MAURICIO CUNHA FERNANDES, CNPT; SENTHOLD ASSENG, Technical University of Munich; FABIO ANTUNES DE OLIVEIRA, University of Florida; CARLOS AMARAL HÖLBIG, UPF; DIEGO NOLETO LUZ PEQUENO, International Maize and Wheat Improvement Center; GENEI ANTONIO DALMAGO, CNPT; ALEXANDRE LAZARETTI ZANATTA, UPF; GERRIT HOOGENBOOM, University of Florida. |
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Título: |
Coupling a pest and disease damage module with CSM-NWheat: a wheat crop simulation model. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Transactions of the ASABE, v. 64, n. 6, p. 2061-2071, 2021. |
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DOI: |
https://doi.org/10.13031/trans.14586 |
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Idioma: |
Inglês |
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Palavras-Chave: |
Acoplamento de modelos; DSSAT; Estresse biótico; Model coupling; Perda de rendimento; Yield loss. |
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Thesagro: |
Análise de Risco de Pragas; Praga de Planta; Trigo. |
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Thesaurus Nal: |
Biotic stress; Decision support systems. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01078naa a2200361 a 4500
001 2142897
005 2022-05-12
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.13031/trans.14586$2DOI
100 1 $aFERREIRA, T. B.
245 $aCoupling a pest and disease damage module with CSM-NWheat$ba wheat crop simulation model.$h[electronic resource]
260 $c2021
650 $aBiotic stress
650 $aDecision support systems
650 $aAnálise de Risco de Pragas
650 $aPraga de Planta
650 $aTrigo
653 $aAcoplamento de modelos
653 $aDSSAT
653 $aEstresse biótico
653 $aModel coupling
653 $aPerda de rendimento
653 $aYield loss
700 1 $aPAVAN, W.
700 1 $aFERNANDES, J. M. C.
700 1 $aASSENG, S.
700 1 $aOLIVEIRA, F. A. de
700 1 $aHÖLBIG, C. A.
700 1 $aPEQUENO, D. N. L.
700 1 $aDALMAGO, G. A.
700 1 $aZANATTA, A. L.
700 1 $aHOOGENBOOM, G.
773 $tTransactions of the ASABE$gv. 64, n. 6, p. 2061-2071, 2021.
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Registro original: |
Embrapa Trigo (CNPT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
07/03/2012 |
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Data da última atualização: |
12/04/2012 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
LEMOS, N. G.; LUCCA e BRACCINI, A. de; ABDELNOOR, R. V.; OLIVEIRA, M. C. N. de; SUENAGA, K.; YAMANAKA, N. |
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Afiliação: |
Noelle Giacomini Lemos, UEM - JIRCAS; Alessandro de Lucca e Braccini, UEM; RICARDO VILELA ABDELNOOR, CNPSO; MARIA CRISTINA NEVES DE OLIVEIRA, CNPSO; Kazuhiro Suenaga, JIRCAS; Naoki Yamanaka, JIRCAS. |
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Título: |
Characterization of genes Rpp2, Rpp4, and Rpp5 for resistance to soybean rust. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Euphytica, Wageningen, v. 182, n. 1, p. 53-64, 2011. |
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DOI: |
10.1007/s10681-011-0465-3 |
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Idioma: |
Inglês |
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Conteúdo: |
Asian rust, caused by the fungus Phakopsora pachyrhizi, is the most severe disease currently threatening soybean crops in Brazil. The development of resistant cultivars is a top priority. Genetic characterization of resistance genes is important for estimating the improvement when these genes are introduced into soybean plants and for planning breeding strategies against this disease. Here, we infected an F2 population of 140 plants derived from a cross between ?An-76?, a line carrying two resistance genes (Rpp2 and Rpp4), and ?Kinoshita?, a cultivar carrying Rpp5, with a Brazilian rust population. We scored six characters of rust resistance (lesion color [LC], frequency of lesions having uredinia [%LU], number of uredinia per lesion [NoU], frequency of open uredinia [%OU], sporulation level [SL], and incubation period [IP]) to identify the genetic contributions of the three genes to these characters. Furthermore, we selected genotypes carrying these three loci in homozygosis by marker-assisted selection and evaluated their genetic effect in comparison with their ancestors, An-76, PI230970, PI459025, Kinoshita and BRS184. All three genes contributed to the phenotypes of these characters in F2 population and when pyramided, they significantly contributed to increase the resistance in comparison to their ancestors. Rpp2, previously reported as being defeated by the same rust population, showed a large contribution to resistance, and its resistance allele seemed to be recessive. Rpp5 had the largest contribution among the three genes, especially to SL and NoU. Only Rpp5 showed a significant contribution to LC. No QTLs for IP were detected in the regions of the three genes. We consider that these genes could contribute differently to resistance to soybean rust, and that genetic background plays an important role in Rpp2 activity. All three loci together worked additively to increase resistance when they were pyramided in a single genotype indicating that the pyramiding strategy is one good breeding strategy to increase soybean rust resistance. MenosAsian rust, caused by the fungus Phakopsora pachyrhizi, is the most severe disease currently threatening soybean crops in Brazil. The development of resistant cultivars is a top priority. Genetic characterization of resistance genes is important for estimating the improvement when these genes are introduced into soybean plants and for planning breeding strategies against this disease. Here, we infected an F2 population of 140 plants derived from a cross between ?An-76?, a line carrying two resistance genes (Rpp2 and Rpp4), and ?Kinoshita?, a cultivar carrying Rpp5, with a Brazilian rust population. We scored six characters of rust resistance (lesion color [LC], frequency of lesions having uredinia [%LU], number of uredinia per lesion [NoU], frequency of open uredinia [%OU], sporulation level [SL], and incubation period [IP]) to identify the genetic contributions of the three genes to these characters. Furthermore, we selected genotypes carrying these three loci in homozygosis by marker-assisted selection and evaluated their genetic effect in comparison with their ancestors, An-76, PI230970, PI459025, Kinoshita and BRS184. All three genes contributed to the phenotypes of these characters in F2 population and when pyramided, they significantly contributed to increase the resistance in comparison to their ancestors. Rpp2, previously reported as being defeated by the same rust population, showed a large contribution to resistance, and its resistance allele seemed to be recessive... Mostrar Tudo |
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Palavras-Chave: |
Ferrugem asiática da soja. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02709naa a2200205 a 4500
001 1917892
005 2012-04-12
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1007/s10681-011-0465-3$2DOI
100 1 $aLEMOS, N. G.
245 $aCharacterization of genes Rpp2, Rpp4, and Rpp5 for resistance to soybean rust.$h[electronic resource]
260 $c2011
520 $aAsian rust, caused by the fungus Phakopsora pachyrhizi, is the most severe disease currently threatening soybean crops in Brazil. The development of resistant cultivars is a top priority. Genetic characterization of resistance genes is important for estimating the improvement when these genes are introduced into soybean plants and for planning breeding strategies against this disease. Here, we infected an F2 population of 140 plants derived from a cross between ?An-76?, a line carrying two resistance genes (Rpp2 and Rpp4), and ?Kinoshita?, a cultivar carrying Rpp5, with a Brazilian rust population. We scored six characters of rust resistance (lesion color [LC], frequency of lesions having uredinia [%LU], number of uredinia per lesion [NoU], frequency of open uredinia [%OU], sporulation level [SL], and incubation period [IP]) to identify the genetic contributions of the three genes to these characters. Furthermore, we selected genotypes carrying these three loci in homozygosis by marker-assisted selection and evaluated their genetic effect in comparison with their ancestors, An-76, PI230970, PI459025, Kinoshita and BRS184. All three genes contributed to the phenotypes of these characters in F2 population and when pyramided, they significantly contributed to increase the resistance in comparison to their ancestors. Rpp2, previously reported as being defeated by the same rust population, showed a large contribution to resistance, and its resistance allele seemed to be recessive. Rpp5 had the largest contribution among the three genes, especially to SL and NoU. Only Rpp5 showed a significant contribution to LC. No QTLs for IP were detected in the regions of the three genes. We consider that these genes could contribute differently to resistance to soybean rust, and that genetic background plays an important role in Rpp2 activity. All three loci together worked additively to increase resistance when they were pyramided in a single genotype indicating that the pyramiding strategy is one good breeding strategy to increase soybean rust resistance.
653 $aFerrugem asiática da soja
700 1 $aLUCCA e BRACCINI, A. de
700 1 $aABDELNOOR, R. V.
700 1 $aOLIVEIRA, M. C. N. de
700 1 $aSUENAGA, K.
700 1 $aYAMANAKA, N.
773 $tEuphytica, Wageningen$gv. 182, n. 1, p. 53-64, 2011.
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