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| Registros recuperados : 90 | |
| 81. |  | TOLEDO-SILVA, G. de; SANTOS-GARCIA, M. O.; RESENDE, R. M. S.; CHIARI, L.; KARIA, C. T.; CARVALHO, M. A.; FALEIRO, F. G.; ZUCCHI, M. I.; SOUZA, A. P. de. Molecular genetic evaluation of the Stylosanthes capitata Vog. and Stylosanthes macrocephala Ferr. et Costa germoplasms. In: INTERNATIONAL SYMPOSIUM ON FORAGE BREEDING, 3., 2011, Bonito, MS. Breeding forage for climate change adaptation and mitigation - eco-efficient animal produtction: proceedings. [Campo Grande, MS: Embrapa Gado de Corte], 2011. 104-107 1 CD-ROM| Biblioteca(s): Embrapa Cerrados. |
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| 82. | | SANTOS-GARCIA, M. O.; TOLEDO-SILVA, G. de; SASSAKI, R. P.; FERREIRA, T. H.; RESENDE, R. M. S.; CHIARI, L.; KARIA, C. T.; CARVALHO, M. A.; FALEIRO, F. G.; ZUCCHI, M. I.; SOUZA, A. P. de. Using genetic diversity information to establish core collections of Stylosanthes capitata and Stylosanthes macrocephala. Genetics and Molecular Biology, São Paulo, v.35, n.4, p.847-861,Nov. 2012| Biblioteca(s): Embrapa Gado de Corte. |
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| 83. | | SANTOS-GARCIA, M. O.; TOLEDO-SILVA, G.; SASSAKI, R. P.; FERREIRA, T. H.; RESENDE, R. M. S.; CHIARI, L.; KARIA, C. T.; CARVALHO, M. A.; FALEIRO, F. G.; ZUCCHI, M. I.; SOUZA, A. P. Using genetic diversity information to establish core collections of Stylosanthes capitata and Stylosanthes macrocephala. Genetics and Molecular Biology, online ahead of print 2012.| Biblioteca(s): Embrapa Cerrados. |
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| 84. | | JUNGMANN, L.; VIGNA, B. B. Z.; BOLDRINI, K. R.; SOUZA, A. C. B.; VALLE, C. B. do; RESENDE, R. M. S.; PAGLIARINI, M. S.; ZUCCHI, M. I.; SOUZA, A. P. de. A survey of a germplasm collection of Brachiaria humidicola (Rendle) Scweick. using microssatellite markers, cytogenetics, morphological traits and geographical origin. In: INTERNATIONAL SYMPOSIUM ON THE MOLECULAR BREEDING OF FORAGE AND TURF: MBFT, 2010, 6., 2010, Buenos Aires. [Resumos...]. Buenos Aires: Ediciones INTA, 2010. p. 22-23| Biblioteca(s): Embrapa Gado de Corte. |
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| 85. | | VALDISSER, P. A. M. R.; PEREIRA, W. J.; ALMEIDA FILHO, J. E.; MÜLLER, B. S. F.; COELHO, G. R. C.; MENEZES, I. P. P. de; VIANNA, J. P. G.; ZUCCHI, M. I.; LANNA, A. C.; COELHO, A. S. G.; OLIVEIRA, J. P. de; MORAES, A. da C.; BRONDANI, C.; VIANELLO, R. P. In-depth genome characterization of a Brazilian common bean core collection using DArTseq high-density SNP genotyping. BMC Genomics, v. 18, Article 423, 30 mai. 2017.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 86. | | SOUZA, L. M. de; LE GUEN, V.; CERQUEIRA-SILVA, C. B. M.; SILVA, C. C.; MANTELLO, C. C.; CONSON, A. R. O.; VIANNA, J. P. G.; ZUCCHI, M. I.; SCALOPPI JUNIOR, E. J.; FIALHO, J. de F.; MORAES, M. L. T. de; GONÇALVES, P. de S.; SOUZA, A. P. de. Genetic diversity strategy for the management and use of rubber genetic resources: more than 1,000 wild and cultivated accessions in a 100-Genotype core collection. Plos One, San Francisco, v. 10, n. 7, e013607, 2015.| Biblioteca(s): Embrapa Cerrados. |
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| 87. | | VALDISSER, P. A. M. R.; MÜLLER, B. S. F.; ALMEIDA FILHO, J. E. de; MORAIS JÚNIOR, O. P.; GUIMARÃES, C. M.; BORBA, T. C. O.; SOUZA, I. P. de; ZUCCHI, M. I.; NEVES, L. G.; COELHO, A. S. G.; BRONDANI, C.; VIANELLO, R. P. Genome-wide association studies detect multiple QTLs for productivity in mesoamerican diversity panel of common bean under drought stress. Frontiers in Plant Science, v. 11, 574674, Nov. 2020.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| 88. | | VIANA, J. P. G.; SIQUEIRA, M. V. B. M.; ARAUJO, F. L.; GRANDO, C.; SUJII, P. S.; SILVESTRE, E. de A.; NOVELLO, M.; PINHEIRO, J. B.; CAVALLARI, M. M.; BRANCALION, P. H. S.; RODRIGUES, R. R.; SOUZA, A. P. de; CATCHEN, J.; ZUCCHI, M. I. Genomic diversity is similar between Atlantic Forest restorations and natural remnants for the native tree Casearia sylvestris Sw. Plos One, v. 13, n. 3, e0192165, p. 1-14, 2018.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 89. | | GARCIA, M.; VIGNA, B. B. Z.; SOUSA, A. C. B.; JUNGMANN, L.; CIDADE, F. W.; TOLEDO-SILVA, G.; FRANCISCO, P. M.; CHIARI, L.; CARVALHO, M. A.; KARIA, C. T.; FALEIRO, F. G.; GODOY, R.; DALL'AGNOL, M.; PAGLIARINI, S. S.; SOUZA, F. H. D. de; SOUZA-CHIES, T. T.; JANK, L.; RESENDE, R. M. S.; VALLE, C. B. do; ZUCCHI, M. I.; SOUZA, A. P. Molecular genetic variability, population structure and mating system in tropical forages. Tropical Grasslands. v. 1, p. 25-30, 2013. 6p.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 90. | | GARCIA, M.; VIGNA, B. B. Z.; SOUSA, A. C. B.; JUNGMANN, L.; CIDADE, F. W.; TOLEDO-SILVA, G.; FRANCISCO, P. M.; CHIARI, L.; CARVALHO, M. A.; KARIA, C. T.; FALEIRO, F. G.; GODOY, R.; AGNOLL, M. D.; PAGLIARINI, S. S.; SOUZA, F. H. D. de; SOUZA-CHIES, T. T.; JANK, L.; RESENDE, R. M. S.; VALLE, C. B. do; ZUCCHI, M. I.; SOUZA, A. P. Molecular genetic variability, population structure and mating system in tropical forages. Tropical Grasslands - Forrajes Tropicales - . v. 1, p. 25-30, 2013.| Biblioteca(s): Embrapa Gado de Corte. |
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| Registros recuperados : 90 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
10/09/2021 |
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Data da última atualização: |
24/02/2022 |
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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: |
VALDISSER, P. A. M. R.; MÜLLER, B. S. F.; ALMEIDA FILHO, J. E. de; MORAIS JÚNIOR, O. P.; GUIMARÃES, C. M.; BORBA, T. C. O.; SOUZA, I. P. de; ZUCCHI, M. I.; NEVES, L. G.; COELHO, A. S. G.; BRONDANI, C.; VIANELLO, R. P. |
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Afiliação: |
PAULA ARIELLE M RIBEIRO VALDISSER, CNPAF; BÁRBARA S. F. MÜLLER, UNIVERSITY OF FLORIDA, Gainesville-FL; JANEO EUSTÁQUIO DE ALMEIDA FILHO, BAYER BRAZIL; ODILON PEIXOTO MORAIS JÚNIOR, UFG; CLEBER MORAIS GUIMARAES, CNPAF; TEREZA CRISTINA DE OLIVEIRA BORBA, CNPAF; ISABELA PAVANELLI DE SOUZA; MARIA IMACULADA ZUCCHI, AGRIBUSINESS TECHNOLOGY AGENCY, São Paulo; LEANDRO G. NEVES, RAPID GENOMICS, Gainesville-FL; ALEXANDRE S. G. COELHO, UFG; CLAUDIO BRONDANI, CNPAF; ROSANA PEREIRA VIANELLO, CNPAF. |
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Título: |
Genome-wide association studies detect multiple QTLs for productivity in mesoamerican diversity panel of common bean under drought stress. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 11, 574674, Nov. 2020. |
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ISSN: |
1664-462X |
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DOI: |
https://doi.org/10.3389/fpls.2020.574674 |
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Idioma: |
Inglês |
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Conteúdo: |
Drought stress is an important abiotic factor limiting common bean yield, with great impact on the production worldwide. Understanding the genetic basis regulating beans? yield and seed weight (SW) is a fundamental prerequisite for the development of superior cultivars. The main objectives of this work were to conduct genome-wide marker discovery by genotyping a Mesoamerican panel of common bean germplasm, containing cultivated and landrace accessions of broad origin, followed by the identification of genomic regions associated with productivity under two water regimes using different genome-wide association study (GWAS) approaches. A total of 11,870 markers were genotyped for the 339 genotypes, of which 3,213 were SilicoDArT and 8,657 SNPs derived from DArT and CaptureSeq. The estimated linkage disequilibrium extension, corrected for structure and relatedness (r2sv), was 98.63 and 124.18 kb for landraces and breeding lines, respectively. Germplasm was structured into landraces and lines/cultivars. We carried out GWASs for 100-SW and yield in field environments with and without water stress for 3 consecutive years, using single-, segment-, and gene-based models. Higher number of associations at high stringency was identified for the SW trait under irrigation, totaling ~185 QTLs for both single- and segment-based, whereas gene-based GWASs showed ~220 genomic regions containing ~650 genes. For SW under drought, 18 QTLs were identified for single- and segment-based and 35 genes by gene-based GWASs. For yield, under irrigation, 25 associations were identified, whereas under drought the total was 10 using both approaches. In addition to the consistent associations detected across experiments, these GWAS approaches provided important complementary QTL information (~221 QTLs; 650 genes; r2 from 0.01% to 32%). Several QTLs were mined within or near candidate genes playing significant role in productivity, providing better understanding of the genetic mechanisms underlying these traits and making available molecular tools to be used in marker-assisted breeding. The findings also allowed the identification of genetic material (germplasm) with better yield performance under drought, promising to a common bean breeding program. Finally, the availability of this highly diverse Mesoamerican panel is of great scientific value for the analysis of any relevant traits in common bean. MenosDrought stress is an important abiotic factor limiting common bean yield, with great impact on the production worldwide. Understanding the genetic basis regulating beans? yield and seed weight (SW) is a fundamental prerequisite for the development of superior cultivars. The main objectives of this work were to conduct genome-wide marker discovery by genotyping a Mesoamerican panel of common bean germplasm, containing cultivated and landrace accessions of broad origin, followed by the identification of genomic regions associated with productivity under two water regimes using different genome-wide association study (GWAS) approaches. A total of 11,870 markers were genotyped for the 339 genotypes, of which 3,213 were SilicoDArT and 8,657 SNPs derived from DArT and CaptureSeq. The estimated linkage disequilibrium extension, corrected for structure and relatedness (r2sv), was 98.63 and 124.18 kb for landraces and breeding lines, respectively. Germplasm was structured into landraces and lines/cultivars. We carried out GWASs for 100-SW and yield in field environments with and without water stress for 3 consecutive years, using single-, segment-, and gene-based models. Higher number of associations at high stringency was identified for the SW trait under irrigation, totaling ~185 QTLs for both single- and segment-based, whereas gene-based GWASs showed ~220 genomic regions containing ~650 genes. For SW under drought, 18 QTLs were identified for single- and segment-based and 35 genes... Mostrar Tudo |
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Palavras-Chave: |
Candidate markers; CaptureSeq; DArTseq markers; Genetic diversity; GWAS; Seed-weight. |
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Thesagro: |
Feijão; Marcador Molecular; Phaseolus Vulgaris; Resistência a Seca. |
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Thesaurus NAL: |
Beans; Genetic markers; Seed yield. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225833/1/fps.pdf
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|
Marc: |
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100 1 $aVALDISSER, P. A. M. R.
245 $aGenome-wide association studies detect multiple QTLs for productivity in mesoamerican diversity panel of common bean under drought stress.$h[electronic resource]
260 $c2020
520 $aDrought stress is an important abiotic factor limiting common bean yield, with great impact on the production worldwide. Understanding the genetic basis regulating beans? yield and seed weight (SW) is a fundamental prerequisite for the development of superior cultivars. The main objectives of this work were to conduct genome-wide marker discovery by genotyping a Mesoamerican panel of common bean germplasm, containing cultivated and landrace accessions of broad origin, followed by the identification of genomic regions associated with productivity under two water regimes using different genome-wide association study (GWAS) approaches. A total of 11,870 markers were genotyped for the 339 genotypes, of which 3,213 were SilicoDArT and 8,657 SNPs derived from DArT and CaptureSeq. The estimated linkage disequilibrium extension, corrected for structure and relatedness (r2sv), was 98.63 and 124.18 kb for landraces and breeding lines, respectively. Germplasm was structured into landraces and lines/cultivars. We carried out GWASs for 100-SW and yield in field environments with and without water stress for 3 consecutive years, using single-, segment-, and gene-based models. Higher number of associations at high stringency was identified for the SW trait under irrigation, totaling ~185 QTLs for both single- and segment-based, whereas gene-based GWASs showed ~220 genomic regions containing ~650 genes. For SW under drought, 18 QTLs were identified for single- and segment-based and 35 genes by gene-based GWASs. For yield, under irrigation, 25 associations were identified, whereas under drought the total was 10 using both approaches. In addition to the consistent associations detected across experiments, these GWAS approaches provided important complementary QTL information (~221 QTLs; 650 genes; r2 from 0.01% to 32%). Several QTLs were mined within or near candidate genes playing significant role in productivity, providing better understanding of the genetic mechanisms underlying these traits and making available molecular tools to be used in marker-assisted breeding. The findings also allowed the identification of genetic material (germplasm) with better yield performance under drought, promising to a common bean breeding program. Finally, the availability of this highly diverse Mesoamerican panel is of great scientific value for the analysis of any relevant traits in common bean.
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