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Registro Completo |
Biblioteca(s): |
Embrapa Trigo. |
Data corrente: |
08/07/2020 |
Data da última atualização: |
08/07/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
Mellers, G.; Aguilera, J. G.; Bird, N.; BONATO, A. L. V.; BONOW, S.; CAIERAO, E.; CONSOLI, L.; SANTANA, F. M.; Simmonds, J.; Steed, A.; TORRES, G. A. M.; Uauy, C.; Wright, T. I. C.; SCHEEREN, P. L.; Nicholson, P.; Cockram, J. |
Afiliação: |
Greg Mellers, *The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom; Jorge González Aguilera, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; Nick Bird, The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom; ANA LIDIA VARIANI BONATO, CNPT; SANDRO BONOW, CPACT; EDUARDO CAIERAO, CNPT; LUCIANO CONSOLI, CNPT; FLAVIO MARTINS SANTANA, CNPT; James Simmonds, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; Andrew Steed, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; GISELE ABIGAIL MONTAN TORRES, CNPT; Cristobal Uauy, ‡John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; Tally I. C. Wright, The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom,†; PEDRO LUIZ SCHEEREN, CNPT; Paul Nicholson, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; James Cockram, The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom. |
Título: |
Genetic characterization of a wheat association mapping panel relevant to brazilian breeding using a high-density single nucleotide polymorphism array. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
G3: Genes, Genomes, Genetics, v. 10, p. 2229-2239, July 2020 |
Idioma: |
Inglês |
Conteúdo: |
ABSTRACT Bread wheat (Triticum aestivum L.) is one of the world?s most important crops. Maintaining wheat yield gains across all of its major production areas is a key target toward underpinning global food security. Brazil is a major wheat producer in South America, generating grain yields of around 6.8 million tons per year. Here, we establish and genotype a wheat association mapping resource relevant to contemporary Brazilian wheat breeding programs. The panel of 558 wheat accessions was genotyped using an Illumina iSelect 90,000 single nucleotide polymorphism array. Following quality control, the final data matrix consisted of 470 accessions and 22,475 polymorphic genetic markers (minor allele frequency $5%, missing data ,5%). Principal component analysis identified distinct differences between materials bred predominantly for the northern Cerrado region, compared to those bred for southern Brazilian agricultural areas. We augmented the genotypic data with 26 functional Kompetitive Allele-Specific PCR (KASP) markers to identify the allelic combinations at genes with previously known effects on agronomically important traits in the panel. This highlighted breeding targets for immediate consideration ? notably, increased Fusarium head blight resistance via the Fhb1 locus. To demonstrate the panel?s likely future utility, genome-wide association scans for several phenotypic traits were undertaken. Significant (Bonferroni corrected P , 0.05) marker-trait associations were detected for Fusarium kernel damage (a proxy for type 2 Fusarium resistance), identifying previously known quantitative trait loci in the panel. This association mapping panel represents an important resource for Brazilian wheat breeding, allowing future genetic studies to analyze multiple agronomic traits within a single genetically diverse population. MenosABSTRACT Bread wheat (Triticum aestivum L.) is one of the world?s most important crops. Maintaining wheat yield gains across all of its major production areas is a key target toward underpinning global food security. Brazil is a major wheat producer in South America, generating grain yields of around 6.8 million tons per year. Here, we establish and genotype a wheat association mapping resource relevant to contemporary Brazilian wheat breeding programs. The panel of 558 wheat accessions was genotyped using an Illumina iSelect 90,000 single nucleotide polymorphism array. Following quality control, the final data matrix consisted of 470 accessions and 22,475 polymorphic genetic markers (minor allele frequency $5%, missing data ,5%). Principal component analysis identified distinct differences between materials bred predominantly for the northern Cerrado region, compared to those bred for southern Brazilian agricultural areas. We augmented the genotypic data with 26 functional Kompetitive Allele-Specific PCR (KASP) markers to identify the allelic combinations at genes with previously known effects on agronomically important traits in the panel. This highlighted breeding targets for immediate consideration ? notably, increased Fusarium head blight resistance via the Fhb1 locus. To demonstrate the panel?s likely future utility, genome-wide association scans for several phenotypic traits were undertaken. Significant (Bonferroni corrected P , 0.05) marker-trait associations were de... Mostrar Tudo |
Palavras-Chave: |
Brazilian Breeding; Fusarium head blight (FHB); Genetic Characterization; Genetic diversity; Genome-wide association scan (GWAS); Genotyping quantitative trait locus (QTL); Polyploid crop; Single nucleotide polymorphism (SNP); Single Nucleotide Polymorphism Array. |
Thesaurus Nal: |
Breeding; Wheat. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214507/1/Paper-G3.pdf
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Marc: |
LEADER 03194naa a2200433 a 4500 001 2123752 005 2020-07-08 008 2020 bl uuuu u00u1 u #d 100 1 $aMellers, G. 245 $aGenetic characterization of a wheat association mapping panel relevant to brazilian breeding using a high-density single nucleotide polymorphism array.$h[electronic resource] 260 $c2020 520 $aABSTRACT Bread wheat (Triticum aestivum L.) is one of the world?s most important crops. Maintaining wheat yield gains across all of its major production areas is a key target toward underpinning global food security. Brazil is a major wheat producer in South America, generating grain yields of around 6.8 million tons per year. Here, we establish and genotype a wheat association mapping resource relevant to contemporary Brazilian wheat breeding programs. The panel of 558 wheat accessions was genotyped using an Illumina iSelect 90,000 single nucleotide polymorphism array. Following quality control, the final data matrix consisted of 470 accessions and 22,475 polymorphic genetic markers (minor allele frequency $5%, missing data ,5%). Principal component analysis identified distinct differences between materials bred predominantly for the northern Cerrado region, compared to those bred for southern Brazilian agricultural areas. We augmented the genotypic data with 26 functional Kompetitive Allele-Specific PCR (KASP) markers to identify the allelic combinations at genes with previously known effects on agronomically important traits in the panel. This highlighted breeding targets for immediate consideration ? notably, increased Fusarium head blight resistance via the Fhb1 locus. To demonstrate the panel?s likely future utility, genome-wide association scans for several phenotypic traits were undertaken. Significant (Bonferroni corrected P , 0.05) marker-trait associations were detected for Fusarium kernel damage (a proxy for type 2 Fusarium resistance), identifying previously known quantitative trait loci in the panel. This association mapping panel represents an important resource for Brazilian wheat breeding, allowing future genetic studies to analyze multiple agronomic traits within a single genetically diverse population. 650 $aBreeding 650 $aWheat 653 $aBrazilian Breeding 653 $aFusarium head blight (FHB) 653 $aGenetic Characterization 653 $aGenetic diversity 653 $aGenome-wide association scan (GWAS) 653 $aGenotyping quantitative trait locus (QTL) 653 $aPolyploid crop 653 $aSingle nucleotide polymorphism (SNP) 653 $aSingle Nucleotide Polymorphism Array 700 1 $aAguilera, J. G. 700 1 $aBird, N. 700 1 $aBONATO, A. L. V. 700 1 $aBONOW, S. 700 1 $aCAIERAO, E. 700 1 $aCONSOLI, L. 700 1 $aSANTANA, F. M. 700 1 $aSimmonds, J. 700 1 $aSteed, A. 700 1 $aTORRES, G. A. M. 700 1 $aUauy, C. 700 1 $aWright, T. I. C. 700 1 $aSCHEEREN, P. L. 700 1 $aNicholson, P. 700 1 $aCockram, J. 773 $tG3: Genes, Genomes, Genetics$gv. 10, p. 2229-2239, July 2020
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Embrapa Trigo (CNPT) |
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Registro Completo
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
23/03/2005 |
Data da última atualização: |
20/06/2018 |
Autoria: |
TOMASELLA, J.; PACHEPSKY, YA.; CRESTANA, S.; RAWLS, W. J. |
Título: |
Comparision of two techniques to develop pedotransfer functions for water retention. |
Ano de publicação: |
2003 |
Fonte/Imprenta: |
Soil science society of America Journal, v. 67. p. 1085-1092, 2003. |
Idioma: |
Inglês |
Conteúdo: |
Two pedotransfer function (PTF) approaches can be used for ob- tainiug the analytical expression of the whole retention curve: (i) soil basic data is used to estimate soil water retention at specific water potentials; and then an analytical expression of the retentlon curve is fitted to the estimated soil moisture values; and (li) soil basic data Is used for estimating the parameters of an analytical expression of water retention curves. The objective of tbis study was to compare the performance of both techniques using data representing the maio Brazilian soils. First, we derived PTFs for the parameters of vau Genuchten equation and for water contents at -6, -10, -33, -100, and -1500 kPa for the same deveiopment data sei. Second, we com- pared the performance of both techniques for the same validation data sei. The approach, based on the estimation of water contents at speclfic water potentiais, provlded better results: for the validation data set, tbis technique showed an average root mean squared error of 0.036 m3 m-3, compared with an averaged error of 0.098 m3 m-3 of the technique based on the direct estlmation of vau Genuchten parameters. A possible explanation for this result mlght be related to the fact that soil moisture Is controlled by different independent variabies at different ranges of soil water potentiai, and those diITer- ences are not directiy reiated to the vau Genuchten parameters. |
Palavras-Chave: |
PTF; Retenção de água. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01945naa a2200181 a 4500 001 1028878 005 2018-06-20 008 2003 bl --- 0-- u #d 100 1 $aTOMASELLA, J. 245 $aComparision of two techniques to develop pedotransfer functions for water retention. 260 $c2003 520 $aTwo pedotransfer function (PTF) approaches can be used for ob- tainiug the analytical expression of the whole retention curve: (i) soil basic data is used to estimate soil water retention at specific water potentials; and then an analytical expression of the retentlon curve is fitted to the estimated soil moisture values; and (li) soil basic data Is used for estimating the parameters of an analytical expression of water retention curves. The objective of tbis study was to compare the performance of both techniques using data representing the maio Brazilian soils. First, we derived PTFs for the parameters of vau Genuchten equation and for water contents at -6, -10, -33, -100, and -1500 kPa for the same deveiopment data sei. Second, we com- pared the performance of both techniques for the same validation data sei. The approach, based on the estimation of water contents at speclfic water potentiais, provlded better results: for the validation data set, tbis technique showed an average root mean squared error of 0.036 m3 m-3, compared with an averaged error of 0.098 m3 m-3 of the technique based on the direct estlmation of vau Genuchten parameters. A possible explanation for this result mlght be related to the fact that soil moisture Is controlled by different independent variabies at different ranges of soil water potentiai, and those diITer- ences are not directiy reiated to the vau Genuchten parameters. 653 $aPTF 653 $aRetenção de água 700 1 $aPACHEPSKY, YA. 700 1 $aCRESTANA, S. 700 1 $aRAWLS, W. J. 773 $tSoil science society of America Journal$gv. 67. p. 1085-1092, 2003.
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