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 | Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
18/01/2023 |
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Data da última atualização: |
19/01/2023 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SÓSA-GOMEZ, D. R.; PASINI, A.; KRAEMER, B.; CORREA-FERREIRA, B. S.; VIEIRA, C. E. D.; MARTINEZ, C. B. R.; LOPES, I. de O. N.; HUSCH, P. E. |
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Afiliação: |
DANIEL RICARDO SOSA GOMEZ, CNPSO; AMARILDO PASINI, UNIVERSIDADE ESTADUAL DE LONDRINA; BEATRIZ KRAEMER, UNIVERSIDADE ESTADUAL DE LONDRINA; BEATRIZ SPALDING CORREA-FERREIRA; CARLOS E. D. VIEIRA; CLAUDIA B. R. MARTINEZ, UNIVERSIDADE ESTADUAL DE LONDRINA; IVANI DE OLIVEIRA NEGRAO LOPES, CNPSO; PATRICIA E. HUSCH, UNIVERSIDADE FEDERAL DO PARANÁ. |
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Título: |
Management and Insecticide Resistance of Stink Bug Populations (Hemiptera: Pentatomidae) in Commodity Crops. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONGRESS OF ENTOMOLOGY - ICE, 26., 2022, Helsinki. Entomology for our planet: book of abstracts. [Kuopio: UEF, 2022]. Edited by Heikki M. T. Hokkanen, Ingeborg Menzler-Hokkanen. |
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Páginas: |
p. 753. |
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Idioma: |
Inglês |
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Thesagro: |
Inseticida; Manejo; Praga de Planta. |
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Thesaurus Nal: |
Insecticides; Pest management. |
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Categoria do assunto: |
O Insetos e Entomologia |
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Marc: |
LEADER 00916nam a2200253 a 4500
001 2151057
005 2023-01-19
008 2022 bl uuuu u00u1 u #d
100 1 $aSÓSA-GOMEZ, D. R.
245 $aManagement and Insecticide Resistance of Stink Bug Populations (Hemiptera$bPentatomidae) in Commodity Crops.$h[electronic resource]
260 $aIn: INTERNATIONAL CONGRESS OF ENTOMOLOGY - ICE, 26., 2022, Helsinki. Entomology for our planet: book of abstracts. [Kuopio: UEF, 2022]. Edited by Heikki M. T. Hokkanen, Ingeborg Menzler-Hokkanen.$c2022
300 $ap. 753.
650 $aInsecticides
650 $aPest management
650 $aInseticida
650 $aManejo
650 $aPraga de Planta
700 1 $aPASINI, A.
700 1 $aKRAEMER, B.
700 1 $aCORREA-FERREIRA, B. S.
700 1 $aVIEIRA, C. E. D.
700 1 $aMARTINEZ, C. B. R.
700 1 $aLOPES, I. de O. N.
700 1 $aHUSCH, P. E.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
26/08/2015 |
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Data da última atualização: |
19/02/2016 |
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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: |
AZEVEDO, G. C.; CHEAVEGATTI-GANOTTO, A.; NEGRI, B. F.; HUFNAGEL, B.; SILVA, L. da C. e; MAGALHAES, J. V.; GARCIA, A. A. F.; LANA, U. G. P.; SOUSA, S. M. de; GUIMARAES, C. T. |
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Afiliação: |
JURANDIR VIEIRA DE MAGALHAES, CNPMS; UBIRACI GOMES DE PAULA LANA, CNPMS; SYLVIA MORAIS DE SOUSA TINOCO, CNPMS; CLAUDIA TEIXEIRA GUIMARAES, CNPMS. |
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Título: |
Multiple interval QTL mapping and searching for PSTOL1 homologs associated with root morphology, biomass accumulation and phosphorus content in maize seedlings under low-P. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
BMC Plant Biology, v. 15, n. 172, p. 1-17, 2015. |
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DOI: |
10.1186/s12870-015-0561-y |
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Idioma: |
Inglês |
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Conteúdo: |
Background: Modifications in root morphology are important strategies to maximize soil exploitation under phosphorus starvation in plants. Here, we used two multiple interval models to map QTLs related to root traits, biomass accumulation and Pcontent in amaize RIL population cultivated in nutrient solution. In addition, we searched for putative maize homologs to PSTOL1, a gene responsible to enhance early root growth, Puptake and grain yield in rice and sorghum. Results: Based on path analysis, root surface area was the root morphology component that most strongly contributed to total dry weight and to Pcontent in maize seedling under low-Pavailability.Multiple interval mapping modelsfor single (MIM) and multiple traits (MT-MIM) were combined and revealed 13 genomic regions significantly associated with the target traits in a complementary way. The phenotypic variances explained by all QTLs and their epistatic interactions using MT-MIM (23.4 to 35.5%) were higher than in previous studies, and presented superior statistical power.Some of theseQTLswere coincident with QTLsfor root morphology traitsand grain yield previously mapped,whereasothersharbored ZmPSTOLcandidate genes,which shared more than 55%of amino acid sequence identity and a conserved serine/threonine kinase domain with OsPSTOL1.Additionally, four ZmPSTOLcandidate genes co-localized with QTLsfor root morphology, biomassaccumulation and/or Pcontent were preferentially expressed in rootsof the parental lines that contributed the allelesenhancing the respective phenotypes. Conclusions: QTLmapping strategies adopted in this study revealed complementary results for single and multiple traitswith high accuracy. Some QTLs,mainly the ones that were also associated with yield performance in other studies, can be good targets for marker-assisted selection to improve P-use efficiency in maize. Based on the co-localization with QTLs, the protein domain conservation and the coincidence of gene expression,we selected novel maize genesasputative homologs to PSTOL1 that will require further validation studies. MenosBackground: Modifications in root morphology are important strategies to maximize soil exploitation under phosphorus starvation in plants. Here, we used two multiple interval models to map QTLs related to root traits, biomass accumulation and Pcontent in amaize RIL population cultivated in nutrient solution. In addition, we searched for putative maize homologs to PSTOL1, a gene responsible to enhance early root growth, Puptake and grain yield in rice and sorghum. Results: Based on path analysis, root surface area was the root morphology component that most strongly contributed to total dry weight and to Pcontent in maize seedling under low-Pavailability.Multiple interval mapping modelsfor single (MIM) and multiple traits (MT-MIM) were combined and revealed 13 genomic regions significantly associated with the target traits in a complementary way. The phenotypic variances explained by all QTLs and their epistatic interactions using MT-MIM (23.4 to 35.5%) were higher than in previous studies, and presented superior statistical power.Some of theseQTLswere coincident with QTLsfor root morphology traitsand grain yield previously mapped,whereasothersharbored ZmPSTOLcandidate genes,which shared more than 55%of amino acid sequence identity and a conserved serine/threonine kinase domain with OsPSTOL1.Additionally, four ZmPSTOLcandidate genes co-localized with QTLsfor root morphology, biomassaccumulation and/or Pcontent were preferentially expressed in rootsof the parental lines that c... Mostrar Tudo |
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Palavras-Chave: |
Aquisição de fósforo; Proteína quinase. |
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Thesagro: |
Zea mays. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 03000naa a2200277 a 4500
001 2022698
005 2016-02-19
008 2015 bl uuuu u00u1 u #d
024 7 $a10.1186/s12870-015-0561-y$2DOI
100 1 $aAZEVEDO, G. C.
245 $aMultiple interval QTL mapping and searching for PSTOL1 homologs associated with root morphology, biomass accumulation and phosphorus content in maize seedlings under low-P.$h[electronic resource]
260 $c2015
520 $aBackground: Modifications in root morphology are important strategies to maximize soil exploitation under phosphorus starvation in plants. Here, we used two multiple interval models to map QTLs related to root traits, biomass accumulation and Pcontent in amaize RIL population cultivated in nutrient solution. In addition, we searched for putative maize homologs to PSTOL1, a gene responsible to enhance early root growth, Puptake and grain yield in rice and sorghum. Results: Based on path analysis, root surface area was the root morphology component that most strongly contributed to total dry weight and to Pcontent in maize seedling under low-Pavailability.Multiple interval mapping modelsfor single (MIM) and multiple traits (MT-MIM) were combined and revealed 13 genomic regions significantly associated with the target traits in a complementary way. The phenotypic variances explained by all QTLs and their epistatic interactions using MT-MIM (23.4 to 35.5%) were higher than in previous studies, and presented superior statistical power.Some of theseQTLswere coincident with QTLsfor root morphology traitsand grain yield previously mapped,whereasothersharbored ZmPSTOLcandidate genes,which shared more than 55%of amino acid sequence identity and a conserved serine/threonine kinase domain with OsPSTOL1.Additionally, four ZmPSTOLcandidate genes co-localized with QTLsfor root morphology, biomassaccumulation and/or Pcontent were preferentially expressed in rootsof the parental lines that contributed the allelesenhancing the respective phenotypes. Conclusions: QTLmapping strategies adopted in this study revealed complementary results for single and multiple traitswith high accuracy. Some QTLs,mainly the ones that were also associated with yield performance in other studies, can be good targets for marker-assisted selection to improve P-use efficiency in maize. Based on the co-localization with QTLs, the protein domain conservation and the coincidence of gene expression,we selected novel maize genesasputative homologs to PSTOL1 that will require further validation studies.
650 $aZea mays
653 $aAquisição de fósforo
653 $aProteína quinase
700 1 $aCHEAVEGATTI-GANOTTO, A.
700 1 $aNEGRI, B. F.
700 1 $aHUFNAGEL, B.
700 1 $aSILVA, L. da C. e
700 1 $aMAGALHAES, J. V.
700 1 $aGARCIA, A. A. F.
700 1 $aLANA, U. G. P.
700 1 $aSOUSA, S. M. de
700 1 $aGUIMARAES, C. T.
773 $tBMC Plant Biology$gv. 15, n. 172, p. 1-17, 2015.
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