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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
14/02/2019 |
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Data da última atualização: |
14/02/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
VEIGA, A. D.; ROCHA, O. C.; GUERRA, A. F.; BARTHOLO, G. F.; RODRIGUES, G. C.; PEREIRA, W.; SILVA, T. P. da; SILVA, E. R. da. |
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Afiliação: |
ADRIANO DELLY VEIGA, CPAC; OMAR CRUZ ROCHA, CNPCa; ANTONIO FERNANDO GUERRA, CNPCa; GABRIEL FERREIRA BARTHOLO, CNPCa; GUSTAVO COSTA RODRIGUES, CNPTIA; WELINGTON PEREIRA, Instituto Federal Goiano; THIAGO PAULO DA SILVA; EVANDRO RIBEIRO DA SILVA. |
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Título: |
Agronomic performance and adaptability of arabic coffee resistant to leaf rust in the Central Brazilian Savanna. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Coffee Science, Lavras, v. 13, n. 1, p. 41-52, jan./mar. 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT: Breeding programs and later indication of rust resistant cultivars for different environments and crops systems, in the concept of diseases integrated control, reach out for productivity raising and reduced production costs. The aim of this work was to evaluate the agronomic performance and adaptability of new Coffea arabica cultivars and progenies resistant to leaf rust in Central Brazilian Savanna. The experiment has been conducted since 2008 in an experimental area of Embrapa Hortaliças. Twenty three resistant cultivars, four progenies and three susceptible cultivars as controls, were assessed in a complete randomized block design with four replicates. The following traits were analyzed: plant height, stem diameter, canopy projection, number of plagiotropic branches, yield, grains percentage retained in sieves above 17, grain ripening and diseases resistance. Catucaí 2SL, Sacramento and Araponga stood out in vegetative growth. The highest yields are observed for IPR 103, Obatã 1669-20, Palma II, Sabiá 398 and Acauã, with values higher than 60 sacks per hectare. Among all these cultivars is observed high resistance to rust leaf and greater susceptibility to brown eye spot in the cultivar Acauã, for the place and period of evaluation. |
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Palavras-Chave: |
Adaptability; Crescimento vegetativo; Diseases; Productivity. |
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Thesagro: |
Coffea Arábica; Crescimento; Doença de Planta; Produtividade. |
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Thesaurus Nal: |
Plant diseases and disorders; Vegetative growth. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02232naa a2200325 a 4500
001 2106017
005 2019-02-14
008 2018 bl uuuu u00u1 u #d
100 1 $aVEIGA, A. D.
245 $aAgronomic performance and adaptability of arabic coffee resistant to leaf rust in the Central Brazilian Savanna.$h[electronic resource]
260 $c2018
520 $aABSTRACT: Breeding programs and later indication of rust resistant cultivars for different environments and crops systems, in the concept of diseases integrated control, reach out for productivity raising and reduced production costs. The aim of this work was to evaluate the agronomic performance and adaptability of new Coffea arabica cultivars and progenies resistant to leaf rust in Central Brazilian Savanna. The experiment has been conducted since 2008 in an experimental area of Embrapa Hortaliças. Twenty three resistant cultivars, four progenies and three susceptible cultivars as controls, were assessed in a complete randomized block design with four replicates. The following traits were analyzed: plant height, stem diameter, canopy projection, number of plagiotropic branches, yield, grains percentage retained in sieves above 17, grain ripening and diseases resistance. Catucaí 2SL, Sacramento and Araponga stood out in vegetative growth. The highest yields are observed for IPR 103, Obatã 1669-20, Palma II, Sabiá 398 and Acauã, with values higher than 60 sacks per hectare. Among all these cultivars is observed high resistance to rust leaf and greater susceptibility to brown eye spot in the cultivar Acauã, for the place and period of evaluation.
650 $aPlant diseases and disorders
650 $aVegetative growth
650 $aCoffea Arábica
650 $aCrescimento
650 $aDoença de Planta
650 $aProdutividade
653 $aAdaptability
653 $aCrescimento vegetativo
653 $aDiseases
653 $aProductivity
700 1 $aROCHA, O. C.
700 1 $aGUERRA, A. F.
700 1 $aBARTHOLO, G. F.
700 1 $aRODRIGUES, G. C.
700 1 $aPEREIRA, W.
700 1 $aSILVA, T. P. da
700 1 $aSILVA, E. R. da
773 $tCoffee Science, Lavras$gv. 13, n. 1, p. 41-52, jan./mar. 2018.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
16/11/2023 |
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Data da última atualização: |
16/11/2023 |
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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: |
COSTA, C. dos S. R.; LIMA, M. A. C. de; LIMA NETO, F. P.; COSTA, A. E. da S.; VILVERT, J. C.; MARTINS, L. S. S.; MUSSER, R. dos S. |
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Afiliação: |
CRISTINA DOS SANTOS RIBEIRO COSTA, UFRPE; MARIA AUXILIADORA COELHO DE LIMA, CPATSA; FRANCISCO PINHEIRO LIMA NETO, CPATSA; ANTONIO ELTON DA SILVA COSTA, UNIVASF; JOÃO CLAUDIO VILVERT, State University of Southwest Bahia, Vitória da Conquista, BA; LUIZA SUELY SEMEN MARTINS, UFRPE; ROSIMAR DOS SANTOS MUSSER, UFRPE. |
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Título: |
Genetic parameters and selection of mango genotypes using the FAI-BLUP multitrait index. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Scientia Horticulturae, v. 317, 112049, 2023. |
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DOI: |
https://doi.org/10.1016/j.scienta.2023.112049 |
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Idioma: |
Inglês |
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Conteúdo: |
Mango (Mangifera indica L.) presents phenotypic diversity in relation to fruit quality. Due to this diversity, studies on performance and evaluation of genotypes help in the selection of new cultivars. The aim of this study was to select superior mango genotypes for fruit quality using a mixed model selection index. The fruit quality of two hundred and forty six different hybrids and four commercial cultivars (Ataulfo, Kent, Palmer and Tommy Atkins) was evaluated in three consecutive harvests. Estimates of variance components and predictions of phenotypic and genotypic values were obtained, as well as principal component analysis, factor analysis and genotype-ideotype distance (FAI-BLUP). Permanent variance among plants represented the largest portion of phenotypic variance for most traits. Estimates of the repeatability coefficient ranged from 0.09 to 0.96, being high for most variables. The selective accuracy predicted by the restricted maximum likelihood model (REML) ranged from 0.48 to 0.99, revealing a good degree of confidence in the inferences. Eigenvalue estimates revealed five principal components responsible for 77.72% of the total genetic variability. The greatest positive genetic gains were for fruit weight (37.29%), soluble solids/titratable acidity ratio (35.02%), b* (23.02%), pulp firmness (20.99%), ventral diameter (12.18%), transverse diameter (11.80%), skin luminosity (8.08%), soluble solids content (6.97%), length (4.28%), c* (3.08%), pulp luminosity (2.18%) and h* (0.88%). Negative genetic gains were observed for titratable acidity (-26.04%) and a* (-12.82%). Twenty-five genotypes were selected as the most promising based on factor analysis and FAI-BLUP index, promoting improvement and genetic gain in several traits. Between commercial cultivars, Ataulfo was the highest ranked genotype (29th), followed by Kent (36th), Palmer (243th) and Tommy Atkins (247th). The genotypes selected should be included in the next stages of the mango breeding program for high-quality fruits under irrigated cultivation in the Brazilian semiarid region. MenosMango (Mangifera indica L.) presents phenotypic diversity in relation to fruit quality. Due to this diversity, studies on performance and evaluation of genotypes help in the selection of new cultivars. The aim of this study was to select superior mango genotypes for fruit quality using a mixed model selection index. The fruit quality of two hundred and forty six different hybrids and four commercial cultivars (Ataulfo, Kent, Palmer and Tommy Atkins) was evaluated in three consecutive harvests. Estimates of variance components and predictions of phenotypic and genotypic values were obtained, as well as principal component analysis, factor analysis and genotype-ideotype distance (FAI-BLUP). Permanent variance among plants represented the largest portion of phenotypic variance for most traits. Estimates of the repeatability coefficient ranged from 0.09 to 0.96, being high for most variables. The selective accuracy predicted by the restricted maximum likelihood model (REML) ranged from 0.48 to 0.99, revealing a good degree of confidence in the inferences. Eigenvalue estimates revealed five principal components responsible for 77.72% of the total genetic variability. The greatest positive genetic gains were for fruit weight (37.29%), soluble solids/titratable acidity ratio (35.02%), b* (23.02%), pulp firmness (20.99%), ventral diameter (12.18%), transverse diameter (11.80%), skin luminosity (8.08%), soluble solids content (6.97%), length (4.28%), c* (3.08%), pulp luminosity (2.18... Mostrar Tudo |
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Palavras-Chave: |
Multicaracterística FAI-BLUP; Parâmetros genéticos. |
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Thesagro: |
Fruta Tropical; Genótipo; Manga; Mangifera Indica. |
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Thesaurus NAL: |
Fruit quality; Mangoes; Selection index. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 03024naa a2200313 a 4500
001 2158450
005 2023-11-16
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.scienta.2023.112049$2DOI
100 1 $aCOSTA, C. dos S. R.
245 $aGenetic parameters and selection of mango genotypes using the FAI-BLUP multitrait index.$h[electronic resource]
260 $c2023
520 $aMango (Mangifera indica L.) presents phenotypic diversity in relation to fruit quality. Due to this diversity, studies on performance and evaluation of genotypes help in the selection of new cultivars. The aim of this study was to select superior mango genotypes for fruit quality using a mixed model selection index. The fruit quality of two hundred and forty six different hybrids and four commercial cultivars (Ataulfo, Kent, Palmer and Tommy Atkins) was evaluated in three consecutive harvests. Estimates of variance components and predictions of phenotypic and genotypic values were obtained, as well as principal component analysis, factor analysis and genotype-ideotype distance (FAI-BLUP). Permanent variance among plants represented the largest portion of phenotypic variance for most traits. Estimates of the repeatability coefficient ranged from 0.09 to 0.96, being high for most variables. The selective accuracy predicted by the restricted maximum likelihood model (REML) ranged from 0.48 to 0.99, revealing a good degree of confidence in the inferences. Eigenvalue estimates revealed five principal components responsible for 77.72% of the total genetic variability. The greatest positive genetic gains were for fruit weight (37.29%), soluble solids/titratable acidity ratio (35.02%), b* (23.02%), pulp firmness (20.99%), ventral diameter (12.18%), transverse diameter (11.80%), skin luminosity (8.08%), soluble solids content (6.97%), length (4.28%), c* (3.08%), pulp luminosity (2.18%) and h* (0.88%). Negative genetic gains were observed for titratable acidity (-26.04%) and a* (-12.82%). Twenty-five genotypes were selected as the most promising based on factor analysis and FAI-BLUP index, promoting improvement and genetic gain in several traits. Between commercial cultivars, Ataulfo was the highest ranked genotype (29th), followed by Kent (36th), Palmer (243th) and Tommy Atkins (247th). The genotypes selected should be included in the next stages of the mango breeding program for high-quality fruits under irrigated cultivation in the Brazilian semiarid region.
650 $aFruit quality
650 $aMangoes
650 $aSelection index
650 $aFruta Tropical
650 $aGenótipo
650 $aManga
650 $aMangifera Indica
653 $aMulticaracterística FAI-BLUP
653 $aParâmetros genéticos
700 1 $aLIMA, M. A. C. de
700 1 $aLIMA NETO, F. P.
700 1 $aCOSTA, A. E. da S.
700 1 $aVILVERT, J. C.
700 1 $aMARTINS, L. S. S.
700 1 $aMUSSER, R. dos S.
773 $tScientia Horticulturae$gv. 317, 112049, 2023.
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