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Registro Completo |
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
08/07/2020 |
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Data da última atualização: |
08/07/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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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. |
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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. |
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Título: |
Genetic characterization of a wheat association mapping panel relevant to brazilian breeding using a high-density single nucleotide polymorphism array. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
G3: Genes, Genomes, Genetics, v. 10, p. 2229-2239, July 2020 |
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Idioma: |
Inglês |
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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 |
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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. |
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Thesaurus Nal: |
Breeding; Wheat. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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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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Registro original: |
Embrapa Trigo (CNPT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
28/03/2022 |
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Data da última atualização: |
29/04/2022 |
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Autoria: |
OLIVEIRA, M. G.; SANTOS, G. G. A.; LAQUES, A.-E.; THALÊS, M. C.; MITJA, D.; MIRANDA, I. S. |
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Título: |
Métricas da paisagem e quantidade de habitat florestal em um mosaico agrícola, sudeste do Pará. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Pesquisa Florestal Brasileira, Colombo, v. 42, e201902023, 2022. |
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Páginas: |
p. 1-8. |
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ISSN: |
1983-2605 |
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DOI: |
https://doi.org/10.4336/2022.pfb.42e201902023 |
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Idioma: |
Português |
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Notas: |
Nota científica. |
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Conteúdo: |
RESUMO. O objetivo deste estudo foi analisar a influência da estrutura da paisagem sobre a estrutura da vegetação, de acordo com a escala de investigação. O estudo foi desenvolvido no Assentamento Agroextrativista Praialta Piranheira, localizado em Nova Ipixuna, PA. Foi utilizado inventário florístico (variáveis da vegetação) e imagem de satélite (métricas da paisagem). As parcelas foram espacializadas em buffers com circunferências de 100, 200, 300 e 500 m. Observou-se influência das métricas da paisagem, em especial da quantidade de habitat florestal, sobre a estrutura da vegetação e a necessidade de se selecionar as métricas mais adequadas ao tipo de estudo realizado. TITLE. Landscape metrics and amount of forest habitat in an agricultural mosaic, Southeast of Pará. ABSTRACT. The objective of this study was to analyze the influence of the landscape structure on the vegetation structure and how this influence is affected by investigation scale. The study was carried out in the Agroextractivist Settlement Praialta Piranheira, Nova Ipixuna, Para State, Brazil. We used floristic inventory (vegetation variables) and satellite image (landscape metrics). The sample plots were spatialized in buffers (100, 200, 300 and 500 m of circumference). We observed influence of landscape metrics, especially the amount of forest habitat, on the vegetation structure and the importance to select the most suitable metrics considering the study objective. |
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Palavras-Chave: |
Amazon; Diversidade de plantas; Forest fragments; Fragmentos florestais; Plant diversity. |
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Thesaurus NAL: |
Amazonia. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/233004/1/EmbrapaFlorestas-PFB-2022-MetricasDaPaisagem.pdf
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Marc: |
LEADER 02380naa a2200301 a 4500
001 2141388
005 2022-04-29
008 2022 bl uuuu u00u1 u #d
022 $a1983-2605
024 7 $ahttps://doi.org/10.4336/2022.pfb.42e201902023$2DOI
100 1 $aOLIVEIRA, M. G.
245 $aMétricas da paisagem e quantidade de habitat florestal em um mosaico agrícola, sudeste do Pará.$h[electronic resource]
260 $c2022
300 $ap. 1-8.
500 $aNota científica.
520 $aRESUMO. O objetivo deste estudo foi analisar a influência da estrutura da paisagem sobre a estrutura da vegetação, de acordo com a escala de investigação. O estudo foi desenvolvido no Assentamento Agroextrativista Praialta Piranheira, localizado em Nova Ipixuna, PA. Foi utilizado inventário florístico (variáveis da vegetação) e imagem de satélite (métricas da paisagem). As parcelas foram espacializadas em buffers com circunferências de 100, 200, 300 e 500 m. Observou-se influência das métricas da paisagem, em especial da quantidade de habitat florestal, sobre a estrutura da vegetação e a necessidade de se selecionar as métricas mais adequadas ao tipo de estudo realizado. TITLE. Landscape metrics and amount of forest habitat in an agricultural mosaic, Southeast of Pará. ABSTRACT. The objective of this study was to analyze the influence of the landscape structure on the vegetation structure and how this influence is affected by investigation scale. The study was carried out in the Agroextractivist Settlement Praialta Piranheira, Nova Ipixuna, Para State, Brazil. We used floristic inventory (vegetation variables) and satellite image (landscape metrics). The sample plots were spatialized in buffers (100, 200, 300 and 500 m of circumference). We observed influence of landscape metrics, especially the amount of forest habitat, on the vegetation structure and the importance to select the most suitable metrics considering the study objective.
650 $aAmazonia
653 $aAmazon
653 $aDiversidade de plantas
653 $aForest fragments
653 $aFragmentos florestais
653 $aPlant diversity
700 1 $aSANTOS, G. G. A.
700 1 $aLAQUES, A.-E.
700 1 $aTHALÊS, M. C.
700 1 $aMITJA, D.
700 1 $aMIRANDA, I. S.
773 $tPesquisa Florestal Brasileira, Colombo$gv. 42, e201902023, 2022.
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Registro original: |
Embrapa Florestas (CNPF) |
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