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Registro Completo |
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Biblioteca(s): |
Embrapa Hortaliças. |
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Data corrente: |
19/09/2001 |
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Data da última atualização: |
01/08/2007 |
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Autoria: |
RIBEIRO, C. S. da; GIORDANO, L. de B. |
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Afiliação: |
EMBRAPA-CNPH, Brasilia, DF. |
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Título: |
Metodo de obtencao de hibridos interespecificos entre Lycopersicon esculentum e L. peruvianum. |
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Ano de publicação: |
2001 |
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Fonte/Imprenta: |
Pesquisa Agropecuaria Brasileira, Brasilia, v.36, n.5, p.793-799, maio 2001. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Brasil; Brasilia; Cultura de ovulo; Distrito Federal; Hibrido interespecifico; Interspecific hybrids; Lycopersicon peruvianum; Method. |
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Thesagro: |
Cerrado; Lycopersicon Esculentum; Método; Tomate. |
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Thesaurus Nal: |
Brazil; ovule culture; tomatoes. |
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Categoria do assunto: |
-- |
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URL: |
https://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2001000500009&lng=pt&nrm=iso
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Marc: |
LEADER 00860naa a2200301 a 4500
001 1770188
005 2007-08-01
008 2001 bl uuuu u00u1 u #d
100 1 $aRIBEIRO, C. S. da
245 $aMetodo de obtencao de hibridos interespecificos entre Lycopersicon esculentum e L. peruvianum.
260 $c2001
650 $aBrazil
650 $aovule culture
650 $atomatoes
650 $aCerrado
650 $aLycopersicon Esculentum
650 $aMétodo
650 $aTomate
653 $aBrasil
653 $aBrasilia
653 $aCultura de ovulo
653 $aDistrito Federal
653 $aHibrido interespecifico
653 $aInterspecific hybrids
653 $aLycopersicon peruvianum
653 $aMethod
700 1 $aGIORDANO, L. de B.
773 $tPesquisa Agropecuaria Brasileira, Brasilia$gv.36, n.5, p.793-799, maio 2001.
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Registro original: |
Embrapa Hortaliças (CNPH) |
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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: |
LEADER 03693naa a2200433 a 4500
001 2134196
005 2022-02-24
008 2020 bl uuuu u00u1 u #d
022 $a1664-462X
024 7 $ahttps://doi.org/10.3389/fpls.2020.574674$2DOI
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.
650 $aBeans
650 $aGenetic markers
650 $aSeed yield
650 $aFeijão
650 $aMarcador Molecular
650 $aPhaseolus Vulgaris
650 $aResistência a Seca
653 $aCandidate markers
653 $aCaptureSeq
653 $aDArTseq markers
653 $aGenetic diversity
653 $aGWAS
653 $aSeed-weight
700 1 $aMÜLLER, B. S. F.
700 1 $aALMEIDA FILHO, J. E. de
700 1 $aMORAIS JÚNIOR, O. P.
700 1 $aGUIMARÃES, C. M.
700 1 $aBORBA, T. C. O.
700 1 $aSOUZA, I. P. de
700 1 $aZUCCHI, M. I.
700 1 $aNEVES, L. G.
700 1 $aCOELHO, A. S. G.
700 1 $aBRONDANI, C.
700 1 $aVIANELLO, R. P.
773 $tFrontiers in Plant Science$gv. 11, 574674, Nov. 2020.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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