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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
26/12/2011 |
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Data da última atualização: |
24/03/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VIANA, J. M. S.; ALMEIDA, R. V. de; FARIA, V. R.; RESENDE, M. D. V. de; SILVA, F. F. e. |
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Afiliação: |
JOSÉ MARCELO SORIANO VIANA, UFV; RAMON VINÍCIUS DE ALMEIDA, UFV; VINÍCIUS RIBEIRO FARIA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; FABYANO FONSECA E SILVA, UFV. |
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Título: |
Genetic evaluation of inbred plants based on BLUP of breeding value and general combining ability. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Crop and Pasture Science, v. 62, p. 515-522, 2011. |
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Idioma: |
Inglês |
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Conteúdo: |
The testcross method is considered efficient for identifying inbred families with superior general combining ability. The objective of the present study was to assess the relative importance of the performance per se and in crossing in the selection of inbred progenies using bi-trait best linear unbiased prediction.Weanalysed data for expansion volume (EV) and grain yield from three tests of popcorn (Zea mays L. ssp. everta) S3 families and seven testcross trials, using the ASRemL software. Four selection strategies were assessed based on: breeding value (strategy 1), general combining ability effect (GCA) (strategy 2), additive value and GCA from strategies 1 and 2 (strategy 3), and breeding value and GCA predicted by bi-trait analyses consideringEVand yield of the families and testcrosses as different traits (strategy 4). The bi-trait analyses of the same characteristic assessed in S3 families and topcrosses were generally more accurate and had greater heritabilites. The greatest predicted gains inEVwere obtained using strategy 4, which was inferior to the other strategies for the yield predicted gains. Strategies 1 and 2 differed most for the families selected. Selection based on GCA maximised heterosis. All of the strategies resulted in comparable realised gains, especially the strategies 3 and 4 based on breeding value and GCA. Selection on S3 based on the additive value andGCA(strategies 3 and 4) resulted in inbred lines superior in number of favourable genes and in general combining ability. MenosThe testcross method is considered efficient for identifying inbred families with superior general combining ability. The objective of the present study was to assess the relative importance of the performance per se and in crossing in the selection of inbred progenies using bi-trait best linear unbiased prediction.Weanalysed data for expansion volume (EV) and grain yield from three tests of popcorn (Zea mays L. ssp. everta) S3 families and seven testcross trials, using the ASRemL software. Four selection strategies were assessed based on: breeding value (strategy 1), general combining ability effect (GCA) (strategy 2), additive value and GCA from strategies 1 and 2 (strategy 3), and breeding value and GCA predicted by bi-trait analyses consideringEVand yield of the families and testcrosses as different traits (strategy 4). The bi-trait analyses of the same characteristic assessed in S3 families and topcrosses were generally more accurate and had greater heritabilites. The greatest predicted gains inEVwere obtained using strategy 4, which was inferior to the other strategies for the yield predicted gains. Strategies 1 and 2 differed most for the families selected. Selection based on GCA maximised heterosis. All of the strategies resulted in comparable realised gains, especially the strategies 3 and 4 based on breeding value and GCA. Selection on S3 based on the additive value andGCA(strategies 3 and 4) resulted in inbred lines superior in number of favourable genes and in ge... Mostrar Tudo |
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Palavras-Chave: |
Melhoramento de planta. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02090naa a2200181 a 4500
001 1910800
005 2015-03-24
008 2011 bl uuuu u00u1 u #d
100 1 $aVIANA, J. M. S.
245 $aGenetic evaluation of inbred plants based on BLUP of breeding value and general combining ability.$h[electronic resource]
260 $c2011
520 $aThe testcross method is considered efficient for identifying inbred families with superior general combining ability. The objective of the present study was to assess the relative importance of the performance per se and in crossing in the selection of inbred progenies using bi-trait best linear unbiased prediction.Weanalysed data for expansion volume (EV) and grain yield from three tests of popcorn (Zea mays L. ssp. everta) S3 families and seven testcross trials, using the ASRemL software. Four selection strategies were assessed based on: breeding value (strategy 1), general combining ability effect (GCA) (strategy 2), additive value and GCA from strategies 1 and 2 (strategy 3), and breeding value and GCA predicted by bi-trait analyses consideringEVand yield of the families and testcrosses as different traits (strategy 4). The bi-trait analyses of the same characteristic assessed in S3 families and topcrosses were generally more accurate and had greater heritabilites. The greatest predicted gains inEVwere obtained using strategy 4, which was inferior to the other strategies for the yield predicted gains. Strategies 1 and 2 differed most for the families selected. Selection based on GCA maximised heterosis. All of the strategies resulted in comparable realised gains, especially the strategies 3 and 4 based on breeding value and GCA. Selection on S3 based on the additive value andGCA(strategies 3 and 4) resulted in inbred lines superior in number of favourable genes and in general combining ability.
653 $aMelhoramento de planta
700 1 $aALMEIDA, R. V. de
700 1 $aFARIA, V. R.
700 1 $aRESENDE, M. D. V. de
700 1 $aSILVA, F. F. e
773 $tCrop and Pasture Science$gv. 62, p. 515-522, 2011.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro |
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Registro Completo
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Biblioteca(s): |
Embrapa Acre. |
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Data corrente: |
05/10/2011 |
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Data da última atualização: |
06/07/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
AGATA, K.; ALASAAD, S.; ALMEIDA-VAL, V. M. F.; ÁLVAREZ-DIOS, J. A.; BARBISAN, F.; BEADELL, J. S.; BELTRÁN, J. F.; BENÍTEZ, M.; BINO, G.; BLEAY, C.; BLOOR, P.; BOHLMANN, J.; BOOTH, W.; BOSCARI, E.; CACCONE, A.; CAMPOS, T. de; CARVALHO, B. M.; CLIMACO, G. T.; CLOBERT, J.; CONGIU, L.; COWGER, C.; DIAS, G.; DOADRIO, I.; FARIAS, I. P.; FERRAND, N.; FREITAS, P. D.; FUSCO, G.; GALETTI, P. M.; GALLARDO-ESCÁRATE, C.; GAUNT, M. W.; OCAMPO, Z. G.; GONÇALVES, H.; GONZALEZ, E. G.; HAYE, P.; HONNAY, O.; HYSENI, C.; JACQUEMYN, H.; JOWERS, M. J.; KAKEZAWA, A.; KAWAGUCHI, E.; KEELING, C. I.; YE-SEUL, K.; LA SPINA, M.; WAN-OK, L.; LESNIEWSKA, M.; YANG, L.; HAIXIA, L.; XIAOLIN, L.; LOPES, S.; MARTÍNEZ, P.; MEEUS, S.; MURRAY, B. W.; NUNES, A. G.; OKEDI, L. M.; OUMA, J. O.; PARDO, B. G.; PARKS, R.; PAULA-SILVA, M. N.; PEDRAZA-LARA, C.; PERERA, O. P.; PINO-QUERIDO, A.; RICHARD, M.; ROSSINI, B. C.; SAMARASEKERA, N. G.; SÁNCHEZ, A.; SANCHEZ, J. A.; SANTOS C. H. dos A.; SHINOHARA, W.; SORIGUER, R. C.; SOUSA, A. C. B.; SOUSA, C. F. da S.; STEVENS, V. M.; TEJEDO, M.; VALENZUELA-BUSTAMANTE, M.; VLIET, M. S. V. de; VANDEPITTE, K.; VERA, M.; WANDELER, P.; WEIMIN, W.; YONG-JIN, W.; YAMASHIRO, A.; YAMASHIRO, T.; CHANGCHENG, Z. |
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Afiliação: |
Kiyokazu Agata, Kyoto University; Samer Alasaad, CSIC/Universidad de Jaén; Vera Maria Fonseca Almeida-Val, Instituto Nacional de Pesquisas da Amazônia (INPA); Universidad de Santiago de Compostela; University of Padova; Jon S. Beadell, Yale University; Universidad de Sevilla; Universidad de Granada; University of Padova; Colin Bleay, Station d'Ecologie Experimentale di CNRS à Moulis; Universidad Nacional de Colombia; Jörg Bohlmann, University of British Columbia; Warren Booth, Centre for Behavioral Biology; University of Padova; Adalgisa Caccone, Yale University; TATIANA DE CAMPOS, CPAF-Acre; Universidade do Porto; Gisele Torres Climaco, Instituto Nacional de Pesquisas da Amazônia (INPA); Jean Clobert, Station d'Ecologie Expérimentale du CNRS à Moulis; University of Padova; Christina Cowger, North Carolina State University; Universidade do Porto; Museo Nacional de Ciencias Naturales; Izeni Pires Farias, Universidade Federal do Amazonas (UFAM); Universidade do Porto; Patrícia D. Freitas, Universidade Federal de São Carlos (UFSCar); University of Padova; Pedro M. Galetti, Universidade Federal de São Carlos (UFSCar); Cristian Gallardo-Escárate, Universidad de Concepción; Michael W. Gaunt, School of Hygiene and Tropical Medicine; Zaneli Gomez Ocampo, Yale University; Centro de Investigaçãoo em Biodiversidade e Recursos Genéticos; Universidad Complutense de Madrid (UCM); Pilar Haye, Universidad de Católica del Norte; University of Leuven; Chaz Hyseni, Yale University; University of Leuven; Michael J. Jowers, Estación Biológica de Donãna; Akihiro Kakezawa, Kyoto University; Eri Kawaguchi, Kyoto University; Christopher I. Keeling, University of British Columbia; Ye-Seul Kwan, Ewha Womans University; Michelangelo La Spina, Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA); Wan-Ok Lee, Inland Fisheries Research Institute, National Fisheries Research & Development Institute; Mickiewicz University; Yang Li, Northwest A & F University, Huazhong Agricultural University; Haixia Liu, Northwest A & F University; Xiaolin Liu, Northwest A & F University; Centro de Investigaçãoo em Biodiversidade e Recursos Genéticos; Universidad de Santiago de Compostela; University of Leuven; Brent W. Murray, University of Northern British Columbia; Aline G. Nunes, Universidade Federal de São Carlos (UFSCar); Loyce M. Okedi, National Livestock Resources Research Institute; Johnson O. Ouma, Kenya Agricultural Research Institute; Universidad de Santiago de Compostela; Ryan Parks, North Carolina State University; Maria Nazaré Paula-Silva, Instituto Nacional de Pesquisas da Amazônia (INPA); Museo Nacional de Ciencias Naturales; Omaththage P. Perera, Southern Insect Management Research Unit, USDA-ARS; Universidad de Santiago de Compostela; Murielle Richard, Université Pierre et Marie Curie; Bruno C. Rossini, Universidade Federal de São Carlos (UFSCar); N. Gayathri Samarasekera, University of Northern British Columbia; Antonio Sánchez, Universidad de Jaén; Juan A. Sanchez, Instituto Murciano de Investigación y Desarrollo Agrario y Alimentario (IMIDA); Carlos Henrique dos Anjos Santos, Instituto Nacional de Pesquisas da Amazônia (INPA); Wataru Shinohara, Estación Biológica de Doñana; Ramón C. Soriguer, Estación Biológica de Doñana; Adna Cristina Barbosa Sousa, Universidade Estadual de Campinas (UNICAMP); Carolina Fernandes da Silva Sousa, Instituto Nacional de Pesquisas da Amazônia (INPA); Virginie M. Stevens, University of Liège; Estación Biológica de Doñana; Myriam Valenzuela-Bustamante, Universidad de Concepción; M. S. Van de Vliet, Universidade do Algarve; University of Leuven; Universidad de Santiago de Compostela; Peter Wandeler, University of Zürich; Weimin Wang, Huazhong Agricultural University; Yong-Jin Won, Ewha Womans University; The University of Tokushima; The University of Tokushima; Changcheng Zhu, Kim II-sung University. |
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Título: |
Permanent genetic resources added to molecular ecology. Resources database 1 December 2010-31 January 2011. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Molecular Ecology Resources, Oxford, v. 11, n. 3, p. 935-936, May 2011. |
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DOI: |
10.1111/j.1755-0998.2011.03004.x |
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Idioma: |
Inglês |
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Conteúdo: |
This article documents the addition of 238 microsatellite marker loci to theMolecular EcologyResources Database. Lociwere developed for the following species: Alytes dickhilleni, Arapaima gigas, Austropotamobius italicus, Blumeria graminis f. sp. tritici, Cobitis lutheri, Dendroctonus ponderosae, Glossina morsitans morsitans, Haplophilus subterraneus, Kirengeshoma palmata, Lysimachia japonica, Macrolophus pygmaeus, Microtus cabrerae, Mytilus galloprovincialis, Pallisentis (Neosentis) celatus, Pulmonaria officinalis, Salminus franciscanus, Thais chocolata and Zootoca vivipara. These loci were cross-tested on the following species: canthinamonodon, Alytes cisternasii, Alytes maurus, Alytes muletensis, Alytes obstetricans almogavarii, Alytes obstetricans boscai, Alytes obstetricans obstetricans, Alytes obstetricans pertinax, Cambarellusmontezumae, Cambarellus zempoalensis, Chorus giganteus, Cobitis tetralineata, Glossina fuscipes fuscipes, Glossina pallidipes, Lysimachia japonica var. japonica, Lysimachia japonica var. minutissima, Orconectes virilis, Pacifastacus leniusculus, Procambarus clarkii, Salminus brasiliensis and Salminus hilarii. |
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Palavras-Chave: |
Bancos de genes; Fitomejoramiento; Marcadores genéticos; Recursos genéticos de las plantas. |
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Thesagro: |
Banco de germoplasma; Marcador genético; Marcador molecular; Melhoramento genético vegetal; Recurso genético. |
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Thesaurus NAL: |
Gene banks; Genetic markers; Plant breeding; Plant genetic resources. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/156639/1/23953.pdf
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Marc: |
LEADER 04544naa a2201273 a 4500
001 1902583
005 2021-07-06
008 2011 bl uuuu u00u1 u #d
024 7 $a10.1111/j.1755-0998.2011.03004.x$2DOI
100 1 $aAGATA, K.
245 $aPermanent genetic resources added to molecular ecology. Resources database 1 December 2010-31 January 2011.$h[electronic resource]
260 $c2011
520 $aThis article documents the addition of 238 microsatellite marker loci to theMolecular EcologyResources Database. Lociwere developed for the following species: Alytes dickhilleni, Arapaima gigas, Austropotamobius italicus, Blumeria graminis f. sp. tritici, Cobitis lutheri, Dendroctonus ponderosae, Glossina morsitans morsitans, Haplophilus subterraneus, Kirengeshoma palmata, Lysimachia japonica, Macrolophus pygmaeus, Microtus cabrerae, Mytilus galloprovincialis, Pallisentis (Neosentis) celatus, Pulmonaria officinalis, Salminus franciscanus, Thais chocolata and Zootoca vivipara. These loci were cross-tested on the following species: canthinamonodon, Alytes cisternasii, Alytes maurus, Alytes muletensis, Alytes obstetricans almogavarii, Alytes obstetricans boscai, Alytes obstetricans obstetricans, Alytes obstetricans pertinax, Cambarellusmontezumae, Cambarellus zempoalensis, Chorus giganteus, Cobitis tetralineata, Glossina fuscipes fuscipes, Glossina pallidipes, Lysimachia japonica var. japonica, Lysimachia japonica var. minutissima, Orconectes virilis, Pacifastacus leniusculus, Procambarus clarkii, Salminus brasiliensis and Salminus hilarii.
650 $aGene banks
650 $aGenetic markers
650 $aPlant breeding
650 $aPlant genetic resources
650 $aBanco de germoplasma
650 $aMarcador genético
650 $aMarcador molecular
650 $aMelhoramento genético vegetal
650 $aRecurso genético
653 $aBancos de genes
653 $aFitomejoramiento
653 $aMarcadores genéticos
653 $aRecursos genéticos de las plantas
700 1 $aALASAAD, S.
700 1 $aALMEIDA-VAL, V. M. F.
700 1 $aÁLVAREZ-DIOS, J. A.
700 1 $aBARBISAN, F.
700 1 $aBEADELL, J. S.
700 1 $aBELTRÁN, J. F.
700 1 $aBENÍTEZ, M.
700 1 $aBINO, G.
700 1 $aBLEAY, C.
700 1 $aBLOOR, P.
700 1 $aBOHLMANN, J.
700 1 $aBOOTH, W.
700 1 $aBOSCARI, E.
700 1 $aCACCONE, A.
700 1 $aCAMPOS, T. de
700 1 $aCARVALHO, B. M.
700 1 $aCLIMACO, G. T.
700 1 $aCLOBERT, J.
700 1 $aCONGIU, L.
700 1 $aCOWGER, C.
700 1 $aDIAS, G.
700 1 $aDOADRIO, I.
700 1 $aFARIAS, I. P.
700 1 $aFERRAND, N.
700 1 $aFREITAS, P. D.
700 1 $aFUSCO, G.
700 1 $aGALETTI, P. M.
700 1 $aGALLARDO-ESCÁRATE, C.
700 1 $aGAUNT, M. W.
700 1 $aOCAMPO, Z. G.
700 1 $aGONÇALVES, H.
700 1 $aGONZALEZ, E. G.
700 1 $aHAYE, P.
700 1 $aHONNAY, O.
700 1 $aHYSENI, C.
700 1 $aJACQUEMYN, H.
700 1 $aJOWERS, M. J.
700 1 $aKAKEZAWA, A.
700 1 $aKAWAGUCHI, E.
700 1 $aKEELING, C. I.
700 1 $aYE-SEUL, K.
700 1 $aLA SPINA, M.
700 1 $aWAN-OK, L.
700 1 $aLESNIEWSKA, M.
700 1 $aYANG, L.
700 1 $aHAIXIA, L.
700 1 $aXIAOLIN, L.
700 1 $aLOPES, S.
700 1 $aMARTÍNEZ, P.
700 1 $aMEEUS, S.
700 1 $aMURRAY, B. W.
700 1 $aNUNES, A. G.
700 1 $aOKEDI, L. M.
700 1 $aOUMA, J. O.
700 1 $aPARDO, B. G.
700 1 $aPARKS, R.
700 1 $aPAULA-SILVA, M. N.
700 1 $aPEDRAZA-LARA, C.
700 1 $aPERERA, O. P.
700 1 $aPINO-QUERIDO, A.
700 1 $aRICHARD, M.
700 1 $aROSSINI, B. C.
700 1 $aSAMARASEKERA, N. G.
700 1 $aSÁNCHEZ, A.
700 1 $aSANCHEZ, J. A.
700 1 $aSANTOS C. H. dos A.
700 1 $aSHINOHARA, W.
700 1 $aSORIGUER, R. C.
700 1 $aSOUSA, A. C. B.
700 1 $aSOUSA, C. F. da S.
700 1 $aSTEVENS, V. M.
700 1 $aTEJEDO, M.
700 1 $aVALENZUELA-BUSTAMANTE, M.
700 1 $aVLIET, M. S. V. de
700 1 $aVANDEPITTE, K.
700 1 $aVERA, M.
700 1 $aWANDELER, P.
700 1 $aWEIMIN, W.
700 1 $aYONG-JIN, W.
700 1 $aYAMASHIRO, A.
700 1 $aYAMASHIRO, T.
700 1 $aCHANGCHENG, Z.
773 $tMolecular Ecology Resources, Oxford$gv. 11, n. 3, p. 935-936, May 2011.
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