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Registros recuperados : 14 | |
9. | | BOKULICH, N.; HWANG, C. F.; LIU, S.; MILLS, K. L. B.; MILLS, D. A. Profiling the yeast communities of wine fermentations using terminal restriction fragment length polymorphism analysis. American Journal of Enology and Viticulture, Reedley, v. 63, n. 2, p. 185-194, 2012. Biblioteca(s): Embrapa Semiárido. |
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11. | | ANDERSON, J. A.; STACK, R. W.; LIU, S.; WALDRON, B. L.; FJELD, A. D.; COYNE, C.; MORENO-SEVILLA, B.; MITCHELL FETCH, J.; SONG, Q. J.; CREGAN, P. B.; FROHBERG, R. C. DNA markers for fusarium head blight resistance QTLS in two wheat populations. Theoretical and Applied Genetics, v. 102, p. 1164-1168, 2001. Biblioteca(s): Embrapa Trigo. |
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12. | | LACAPE, J. M.; GAWRYSIAK, G.; CAO, T. V.; VIOT, C.; LIEWELLYN, D.; LIU, S.; JACOBS, J.; BECKER, D.; BARROSO, P. A. V.; ASSUNCAO, J. H. de; PALAI, O.; GEORGES, S.; JEAN, J.; GIBAND, M. Mapping QTLs for traits related to phenology, morphology and yield components in an inter-specific Gossypium hirsutum × G. barbadense cotton RIL population. Field Crops Research, v. 144, p. 256?267, 2013. Biblioteca(s): Embrapa Algodão. |
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13. | | LACAPE, J.- M.; LLEWELLYN, D.; JACOBS, J.; ARIOLI, T.; BECKER, D.; CALHOUN, S.; AL-GHAZI, Y.; LIU, S.; PALAI, O.; GEORGES, S.; GIBAND, M.; ASSUNÇÃO, H. de; BARROSO, P. A. V.; CLAVERIE, M.; GAWRYZIAK, G.; JEAN, J.; VIALLE, M.; VIOT, C. Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population. BMC Plant Biology, v.10, n. 132, p. 1-24, 2010. Biblioteca(s): Embrapa Algodão. |
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14. | | YOUNG, N. D.; JEX, A. R.; LI, B.; LIU, S.; YANG, L.; XIONG, Z.; LI, Y.; CANTACESSI, C.; HALL, R. S.; XU, X.; CHEN, F.; WU, X.; ZERLOTINI, A.; OLIVEIRA, G.; HOFMANN, A.; ZHANG, G.; FANG, X.; KANG, Y.; CAMPBELL, B. E.; LOUKAS, A.; RANGANATHAN, S.; ROLLINSON, D.; RINALDI, G.; BRINDLEY, P. J.; YANG, H.; WANG, J.; WANG, J.; GASSER, R. B. Whole-genome sequence of Schistosoma haematobium. Nature Genetics, v. 44, n. 2, p. 221-225, Feb. 2012. Biblioteca(s): Embrapa Agricultura Digital. |
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Registros recuperados : 14 | |
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Registro Completo
Biblioteca(s): |
Embrapa Algodão. |
Data corrente: |
29/07/2010 |
Data da última atualização: |
18/01/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
LACAPE, J.- M.; LLEWELLYN, D.; JACOBS, J.; ARIOLI, T.; BECKER, D.; CALHOUN, S.; AL-GHAZI, Y.; LIU, S.; PALAI, O.; GEORGES, S.; GIBAND, M.; ASSUNÇÃO, H. de; BARROSO, P. A. V.; CLAVERIE, M.; GAWRYZIAK, G.; JEAN, J.; VIALLE, M.; VIOT, C. |
Afiliação: |
JEAN MARC LACAPE; DANNY LLEWELLYN; JOHN JACOBS; TONY ARIOLI; DAVID BECKER; STEVE CALHOUN; YVES AL-GHAZI; SHIMING LIU; OURAMAROU PALAI; SOPHIE GEORGES; MARC GIBAND; HENRIQUE DE ASSUNÇÃO; PAULO AUGUSTO VIANNA BARROSO, CNPA; MICHEL CLAVERIE; GÉRARD GAWRYZIAK; JANINE JEAN; MICHELE VIALLE; CHRISTOPHER VIOT. |
Título: |
Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
BMC Plant Biology, v.10, n. 132, p. 1-24, 2010. |
ISSN: |
1471-2229 |
Idioma: |
Inglês |
Conteúdo: |
Background: Cotton fibers (produced by Gossypium species) are the premier natural fibers for textile production. The two tetraploid species, G. barbadense (Gb) and G. hirsutum (Gh), differ significantly in their fiber properties, the former having much longer, finer and stronger fibers that are highly prized. A better understanding of the genetics and underlying biological causes of these differences will aid further improvement of cotton quality through breeding and biotechnology. We evaluated an inter-specific Gh × Gb recombinant inbred line (RIL) population for fiber characteristics in 11 independent experiments under field and glasshouse conditions. Sites were located on 4 continents and 5 countries and some locations were analyzed over multiple years. Results: The RIL population displayed a large variability for all major fiber traits. QTL analyses were performed on a persite basis by composite interval mapping. Among the 651 putative QTLs (LOD > 2), 167 had a LOD exceeding permutation based thresholds. Coincidence in QTL location across data sets was assessed for the fiber trait categories strength, elongation, length, length uniformity, fineness/maturity, and color. A meta-analysis of more than a thousand putative QTLs was conducted with MetaQTL software to integrate QTL data from the RIL and 3 backcross populations (from the same parents) and to compare them with the literature. Although the global level of congruence across experiments and populations was generally moderate, the QTL clustering was possible for 30 trait x chromosome combinations (5 traits in 19 different chromosomes) where an effective co-localization of unidirectional (similar sign of additivity) QTLs from at least 5 different data sets was observed. Most consistent meta-clusters were identified for fiber color on chromosomes c6, c8 and c25, fineness on c15, and fiber length on c3. Conclusions: Meta-analysis provided a reliable means of integrating phenotypic and genetic mapping data across multiple populations and environments for complex fiber traits. The consistent chromosomal regions contributing to fiber quality traits constitute good candidates for the further dissection of the genetic and genomic factors underlying important fiber characteristics, and for marker-assisted selection. MenosBackground: Cotton fibers (produced by Gossypium species) are the premier natural fibers for textile production. The two tetraploid species, G. barbadense (Gb) and G. hirsutum (Gh), differ significantly in their fiber properties, the former having much longer, finer and stronger fibers that are highly prized. A better understanding of the genetics and underlying biological causes of these differences will aid further improvement of cotton quality through breeding and biotechnology. We evaluated an inter-specific Gh × Gb recombinant inbred line (RIL) population for fiber characteristics in 11 independent experiments under field and glasshouse conditions. Sites were located on 4 continents and 5 countries and some locations were analyzed over multiple years. Results: The RIL population displayed a large variability for all major fiber traits. QTL analyses were performed on a persite basis by composite interval mapping. Among the 651 putative QTLs (LOD > 2), 167 had a LOD exceeding permutation based thresholds. Coincidence in QTL location across data sets was assessed for the fiber trait categories strength, elongation, length, length uniformity, fineness/maturity, and color. A meta-analysis of more than a thousand putative QTLs was conducted with MetaQTL software to integrate QTL data from the RIL and 3 backcross populations (from the same parents) and to compare them with the literature. Although the global level of congruence across experiments and populations was generally ... Mostrar Tudo |
Palavras-Chave: |
Fibra do algodão. |
Thesagro: |
Gossypium Hirsutum. |
Thesaurus NAL: |
Gossypium barbadense. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/858756/1/Meta-analysis-of-cotton-fiber-quality.pdf
|
Marc: |
LEADER 03314naa a2200373 a 4500 001 1858756 005 2023-01-18 008 2010 bl uuuu u00u1 u #d 022 $a1471-2229 100 1 $aLACAPE, J.- M. 245 $aMeta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population. 260 $c2010 520 $aBackground: Cotton fibers (produced by Gossypium species) are the premier natural fibers for textile production. The two tetraploid species, G. barbadense (Gb) and G. hirsutum (Gh), differ significantly in their fiber properties, the former having much longer, finer and stronger fibers that are highly prized. A better understanding of the genetics and underlying biological causes of these differences will aid further improvement of cotton quality through breeding and biotechnology. We evaluated an inter-specific Gh × Gb recombinant inbred line (RIL) population for fiber characteristics in 11 independent experiments under field and glasshouse conditions. Sites were located on 4 continents and 5 countries and some locations were analyzed over multiple years. Results: The RIL population displayed a large variability for all major fiber traits. QTL analyses were performed on a persite basis by composite interval mapping. Among the 651 putative QTLs (LOD > 2), 167 had a LOD exceeding permutation based thresholds. Coincidence in QTL location across data sets was assessed for the fiber trait categories strength, elongation, length, length uniformity, fineness/maturity, and color. A meta-analysis of more than a thousand putative QTLs was conducted with MetaQTL software to integrate QTL data from the RIL and 3 backcross populations (from the same parents) and to compare them with the literature. Although the global level of congruence across experiments and populations was generally moderate, the QTL clustering was possible for 30 trait x chromosome combinations (5 traits in 19 different chromosomes) where an effective co-localization of unidirectional (similar sign of additivity) QTLs from at least 5 different data sets was observed. Most consistent meta-clusters were identified for fiber color on chromosomes c6, c8 and c25, fineness on c15, and fiber length on c3. Conclusions: Meta-analysis provided a reliable means of integrating phenotypic and genetic mapping data across multiple populations and environments for complex fiber traits. The consistent chromosomal regions contributing to fiber quality traits constitute good candidates for the further dissection of the genetic and genomic factors underlying important fiber characteristics, and for marker-assisted selection. 650 $aGossypium barbadense 650 $aGossypium Hirsutum 653 $aFibra do algodão 700 1 $aLLEWELLYN, D. 700 1 $aJACOBS, J. 700 1 $aARIOLI, T. 700 1 $aBECKER, D. 700 1 $aCALHOUN, S. 700 1 $aAL-GHAZI, Y. 700 1 $aLIU, S. 700 1 $aPALAI, O. 700 1 $aGEORGES, S. 700 1 $aGIBAND, M. 700 1 $aASSUNÇÃO, H. de 700 1 $aBARROSO, P. A. V. 700 1 $aCLAVERIE, M. 700 1 $aGAWRYZIAK, G. 700 1 $aJEAN, J. 700 1 $aVIALLE, M. 700 1 $aVIOT, C. 773 $tBMC Plant Biology$gv.10, n. 132, p. 1-24, 2010.
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