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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
02/03/2005 |
Data da última atualização: |
08/06/2018 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
SANTOS, C. A. F.; MABEL, G. S.; FERRAZ, M. G. de S.; SANTOS, I. C. N. dos. |
Afiliação: |
CARLOS ANTONIO FERNANDES SANTOS, CPATSA. |
Título: |
Estimativas do número de genes envolvidos no controle genético do peso de 100 grãos e comprimento da vagem em feijão-caupi. |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 3., 2005, Passo Fundo. Anais... Passo Fundo: Embrapa Trigo; SBMP, 2005. |
Descrição Física: |
1 CD-ROM. |
Idioma: |
Português |
Conteúdo: |
Objetivou-se estimar o número de genes envolvidos no controle Genético do peso de 100 grãos (PCG) e o comprimento da vagem (COV) do feijão-caupi, de forma a possibilitar comparações com estimativas de QTLs, bem como orientar na seleção de linhagens para o desenvolvimento de cultivares. |
Palavras-Chave: |
Feijão-caupi; Melhoramento genético. |
Thesagro: |
Gene. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPATSA/31514/1/OPB85.pdf
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Marc: |
LEADER 00968nam a2200193 a 4500 001 1155660 005 2018-06-08 008 2005 bl uuuu u00u1 u #d 100 1 $aSANTOS, C. A. F. 245 $aEstimativas do número de genes envolvidos no controle genético do peso de 100 grãos e comprimento da vagem em feijão-caupi. 260 $aIn: CONGRESSO BRASILEIRO DE MELHORAMENTO DE PLANTAS, 3., 2005, Passo Fundo. Anais... Passo Fundo: Embrapa Trigo; SBMP$c2005 300 $c1 CD-ROM. 520 $aObjetivou-se estimar o número de genes envolvidos no controle Genético do peso de 100 grãos (PCG) e o comprimento da vagem (COV) do feijão-caupi, de forma a possibilitar comparações com estimativas de QTLs, bem como orientar na seleção de linhagens para o desenvolvimento de cultivares. 650 $aGene 653 $aFeijão-caupi 653 $aMelhoramento genético 700 1 $aMABEL, G. S. 700 1 $aFERRAZ, M. G. de S. 700 1 $aSANTOS, I. C. N. dos
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
14/07/2017 |
Data da última atualização: |
03/01/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
GOIS, I. B.; BORÉM, A.; CRISTOFANI-YALY, M.; RESENDE, M. D. V. de; AZEVEDO, C. F.; BASTIANEL, M.; NOVELLI, V. M.; MACHADO, M. A. |
Afiliação: |
I. B. Gois, Departamento de Fitotecnia, Universidade Federal de Viçosa; A. Borém, Departamento de Fitotecnia, Universidade Federal de Viçosa; M. Cristofani-Yaly, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; MARCOS DEON VILELA DE RESENDE, CNPF; C. F. Azevedo, Departamento de Estatística, Universidade Federal de Viçosa; M. Bastianel, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; V. M. Novelli, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira; M. A. Machado, Instituto Agronômico de Campinas, Centro APTA Citros Sylvio Moreira. |
Título: |
Genome wide selection in citrus breeding. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, n. 4, gmr15048863, Oct. 2016. |
DOI: |
http://dx.doi.org/10.4238/gmr15048863 |
Idioma: |
Inglês |
Conteúdo: |
Genome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus. MenosGenome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citr... Mostrar Tudo |
Palavras-Chave: |
DarT_seq; Molecular markers; Seleção precoce; Selective accuracy. |
Thesagro: |
Fruta cítrica; Marcador Molecular; Melhoramento vegetal. |
Thesaurus NAL: |
Citrus; early selection; linkage disequilibrium; Plant breeding. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/161818/1/2016-M.Deon-GMR-Genome.pdf
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Marc: |
LEADER 02672naa a2200349 a 4500 001 2072713 005 2018-01-03 008 2016 bl uuuu u00u1 u #d 024 7 $ahttp://dx.doi.org/10.4238/gmr15048863$2DOI 100 1 $aGOIS, I. B. 245 $aGenome wide selection in citrus breeding.$h[electronic resource] 260 $c2016 520 $aGenome wide selection (GWS) is essential for the genetic improvement of perennial species such as Citrus because of its ability to increase gain per unit time and to enable the efficient selection of characteristics with low heritability. This study assessed GWS efficiency in a population of Citrus and compared it with selection based on phenotypic data. A total of 180 individual trees from a cross between Pera sweet orange (Citrus sinensis Osbeck) and Murcott tangor (Citrus sinensis Osbeck x Citrus reticulata Blanco) were evaluated for 10 characteristics related to fruit quality. The hybrids were genotyped using 5287 DArT_seqTM (diversity arrays technology) molecular markers and their effects on phenotypes were predicted using the random regression - best linear unbiased predictor (rr-BLUP) method. The predictive ability, prediction bias, and accuracy of GWS were estimated to verify its effectiveness for phenotype prediction. The proportion of genetic variance explained by the markers was also computed. The heritability of the traits, as determined by markers, was 16-28%. The predictive ability of these markers ranged from 0.53 to 0.64, and the regression coefficients between predicted and observed phenotypes were close to unity. Over 35% of the genetic variance was accounted for by the markers. Accuracy estimates with GWS were lower than those obtained by phenotypic analysis; however, GWS was superior in terms of genetic gain per unit time. Thus, GWS may be useful for Citrus breeding as it can predict phenotypes early and accurately, and reduce the length of the selection cycle. This study demonstrates the feasibility of genomic selection in Citrus. 650 $aCitrus 650 $aearly selection 650 $alinkage disequilibrium 650 $aPlant breeding 650 $aFruta cítrica 650 $aMarcador Molecular 650 $aMelhoramento vegetal 653 $aDarT_seq 653 $aMolecular markers 653 $aSeleção precoce 653 $aSelective accuracy 700 1 $aBORÉM, A. 700 1 $aCRISTOFANI-YALY, M. 700 1 $aRESENDE, M. D. V. de 700 1 $aAZEVEDO, C. F. 700 1 $aBASTIANEL, M. 700 1 $aNOVELLI, V. M. 700 1 $aMACHADO, M. A. 773 $tGenetics and Molecular Research$gv. 15, n. 4, gmr15048863, Oct. 2016.
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