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Registro Completo |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
18/01/2022 |
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Data da última atualização: |
18/01/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
NONATO, J. V. A.; CARVALHO, H. F.; BORGES, K. L. R.; PADILHA, L.; MALUF, M. P.; FRITSCHE NETO, R.; GUERREIRO FILHO, O. |
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Afiliação: |
JULIANA VIEIRA ALMEIDA NONATO, IAC; HUMBERTO FANELLI CARVALHO, IAC; KARINA LIMA REIS BORGES, ESALQ; LILIAN PADILHA, CNPCa; MIRIAN PEREZ MALUF, CNPCa; ROBERTO FRITSCHE NETO, ESALQ; OLIVEIRO GUERREIRO FILHO, IAC. |
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Título: |
Association mapping reveals genomic regions associated with bienniality and resistance to biotic stresses in arabica coffee. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Euphytica, v. 217, n. 10, p. 1-19, 2021. |
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DOI: |
https://doi.org/10.1007/s10681-021-02922-9 |
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Idioma: |
Inglês |
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Conteúdo: |
The bienniality of production and the incidence of pests and diseases, such as coffee leaf miner and coffee leaf rust, stands out among the factors that limit coffee crop yield. Obtaining cultivars with greater stability in production and resistance to these biotic agents are among the main objectives of coffee breeding programs. In this way, biotechnological tools such as Genomic Wide Association Studies (GWAS) can increase these programs' efficacy since they allow the identification of molecular markers significantly associated with phenotypes of interest. In this context, the aim here is to identify genomic regions associated with yield, bienniality, and resistance to coffee leaf miner and coffee leaf rust in arabica coffee progenies. Thus, a population (n=597) was evaluated for resistance to biotic stresses and for the eight designed scenarios to study yield and bienniality. A matrix of 4,666 SNPs (Single Nucleotide Polymorphism) was built through Genotyping by Sequencing (GBS). After the genomic association analyses, we identified 12 potential SNPs markers associated with resistance to coffee leaf miner and coffee leaf rust, 32 associated with the eight designed scenarios to study yield and bienniality. Of the 44 SNPs significantly associated with this study's traits, 36 were noted in genomic regions responsible for biological processes related to plant response to biotic and abiotic stresses. In addition, four markers were coincident with yield and traits related to coffee leaf rust resistance. The genomic regions identified in this study can be incorporated into the coffee breeding program, through assisted selection, leading to more efficient breeding strategies in coffee. MenosThe bienniality of production and the incidence of pests and diseases, such as coffee leaf miner and coffee leaf rust, stands out among the factors that limit coffee crop yield. Obtaining cultivars with greater stability in production and resistance to these biotic agents are among the main objectives of coffee breeding programs. In this way, biotechnological tools such as Genomic Wide Association Studies (GWAS) can increase these programs' efficacy since they allow the identification of molecular markers significantly associated with phenotypes of interest. In this context, the aim here is to identify genomic regions associated with yield, bienniality, and resistance to coffee leaf miner and coffee leaf rust in arabica coffee progenies. Thus, a population (n=597) was evaluated for resistance to biotic stresses and for the eight designed scenarios to study yield and bienniality. A matrix of 4,666 SNPs (Single Nucleotide Polymorphism) was built through Genotyping by Sequencing (GBS). After the genomic association analyses, we identified 12 potential SNPs markers associated with resistance to coffee leaf miner and coffee leaf rust, 32 associated with the eight designed scenarios to study yield and bienniality. Of the 44 SNPs significantly associated with this study's traits, 36 were noted in genomic regions responsible for biological processes related to plant response to biotic and abiotic stresses. In addition, four markers were coincident with yield and traits related to co... Mostrar Tudo |
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Thesagro: |
Coffea Arábica; Genoma; Mapa; Stress. |
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Thesaurus Nal: |
Biotic stress; Coffea arabica var. arabica; Genetic resistance; Yield mapping. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/230370/1/Association-mapping-reveals-genomic.pdf
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Marc: |
LEADER 02617naa a2200301 a 4500
001 2139166
005 2022-01-18
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s10681-021-02922-9$2DOI
100 1 $aNONATO, J. V. A.
245 $aAssociation mapping reveals genomic regions associated with bienniality and resistance to biotic stresses in arabica coffee.$h[electronic resource]
260 $c2021
520 $aThe bienniality of production and the incidence of pests and diseases, such as coffee leaf miner and coffee leaf rust, stands out among the factors that limit coffee crop yield. Obtaining cultivars with greater stability in production and resistance to these biotic agents are among the main objectives of coffee breeding programs. In this way, biotechnological tools such as Genomic Wide Association Studies (GWAS) can increase these programs' efficacy since they allow the identification of molecular markers significantly associated with phenotypes of interest. In this context, the aim here is to identify genomic regions associated with yield, bienniality, and resistance to coffee leaf miner and coffee leaf rust in arabica coffee progenies. Thus, a population (n=597) was evaluated for resistance to biotic stresses and for the eight designed scenarios to study yield and bienniality. A matrix of 4,666 SNPs (Single Nucleotide Polymorphism) was built through Genotyping by Sequencing (GBS). After the genomic association analyses, we identified 12 potential SNPs markers associated with resistance to coffee leaf miner and coffee leaf rust, 32 associated with the eight designed scenarios to study yield and bienniality. Of the 44 SNPs significantly associated with this study's traits, 36 were noted in genomic regions responsible for biological processes related to plant response to biotic and abiotic stresses. In addition, four markers were coincident with yield and traits related to coffee leaf rust resistance. The genomic regions identified in this study can be incorporated into the coffee breeding program, through assisted selection, leading to more efficient breeding strategies in coffee.
650 $aBiotic stress
650 $aCoffea arabica var. arabica
650 $aGenetic resistance
650 $aYield mapping
650 $aCoffea Arábica
650 $aGenoma
650 $aMapa
650 $aStress
700 1 $aCARVALHO, H. F.
700 1 $aBORGES, K. L. R.
700 1 $aPADILHA, L.
700 1 $aMALUF, M. P.
700 1 $aFRITSCHE NETO, R.
700 1 $aGUERREIRO FILHO, O.
773 $tEuphytica$gv. 217, n. 10, p. 1-19, 2021.
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Registro original: |
Embrapa Café (CNPCa) |
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| 1. |  | NONATO, J. V. A.; CARVALHO, H. F.; BORGES, K. L. R.; PADILHA, L.; MALUF, M. P.; FRITSCHE NETO, R.; GUERREIRO FILHO, O. Association mapping reveals genomic regions associated with bienniality and resistance to biotic stresses in arabica coffee. Euphytica, v. 217, n. 10, p. 1-19, 2021.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
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