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Registro Completo |
Biblioteca(s): |
Embrapa Algodão. |
Data corrente: |
03/03/2017 |
Data da última atualização: |
03/03/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
FARIAS, F. J. C.; CARVALHO, L. P. de; SILVA FILHO, J. L. da; TEODORO, P. E. |
Afiliação: |
FRANCISCO JOSE CORREIA FARIAS, CNPA; LUIZ PAULO DE CARVALHO, CNPA; JOAO LUIS DA SILVA FILHO, CNPA; PAULO EDUARDO TEODORO, UFV. |
Título: |
Correlations and path analysis among agronomic and technological traits of upland cotton. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Genetics and Molecular Research, v. 15, n. 3, 2016. |
Idioma: |
Inglês |
Conteúdo: |
To date, path analysis has been used with the aim of breeding different cultures. However, for cotton, there have been few studies using this analysis, and all of these have used fiber productivity as the primary dependent variable. Therefore, the aim of the present study was to identify agronomic and technological properties that can be used as criteria for direct and indirect phenotypes in selecting cotton genotypes with better fibers. We evaluated 16 upland cotton genotypes in eight trials conducted during the harvest 2008/2009 in the State of Mato Grosso, using a randomized block design with four replicates. The evaluated traits were: plant height, average boll weight, percentage of fiber, cotton seed yield, fiber length, uniformity of fiber, short fiber index, fiber strength, elongation, maturity of the fibers, micronaire, reflectance, and the degree of yellowing. Phenotypic correlations between the traits and cotton fiber yield (main dependent variable were unfolded in direct and indirect effects through path analysis. Fiber strength, uniformity of fiber, and reflectance were found to influence fiber length, and therefore, these traits are recommended for both direct and indirect selection of cotton genotypes. |
Palavras-Chave: |
Melhoramento genético; Upland cotton. |
Thesagro: |
Algodão; Fibra; Gossypium hirsutum. |
Thesaurus Nal: |
Cotton. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/156959/1/Correlations-and-path-analysis.pdf
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Marc: |
LEADER 01903naa a2200229 a 4500 001 2065949 005 2017-03-03 008 2016 bl uuuu u00u1 u #d 100 1 $aFARIAS, F. J. C. 245 $aCorrelations and path analysis among agronomic and technological traits of upland cotton.$h[electronic resource] 260 $c2016 520 $aTo date, path analysis has been used with the aim of breeding different cultures. However, for cotton, there have been few studies using this analysis, and all of these have used fiber productivity as the primary dependent variable. Therefore, the aim of the present study was to identify agronomic and technological properties that can be used as criteria for direct and indirect phenotypes in selecting cotton genotypes with better fibers. We evaluated 16 upland cotton genotypes in eight trials conducted during the harvest 2008/2009 in the State of Mato Grosso, using a randomized block design with four replicates. The evaluated traits were: plant height, average boll weight, percentage of fiber, cotton seed yield, fiber length, uniformity of fiber, short fiber index, fiber strength, elongation, maturity of the fibers, micronaire, reflectance, and the degree of yellowing. Phenotypic correlations between the traits and cotton fiber yield (main dependent variable were unfolded in direct and indirect effects through path analysis. Fiber strength, uniformity of fiber, and reflectance were found to influence fiber length, and therefore, these traits are recommended for both direct and indirect selection of cotton genotypes. 650 $aCotton 650 $aAlgodão 650 $aFibra 650 $aGossypium hirsutum 653 $aMelhoramento genético 653 $aUpland cotton 700 1 $aCARVALHO, L. P. de 700 1 $aSILVA FILHO, J. L. da 700 1 $aTEODORO, P. E. 773 $tGenetics and Molecular Research$gv. 15, n. 3, 2016.
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Embrapa Algodão (CNPA) |
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Registro Completo
Biblioteca(s): |
Embrapa Agroindústria de Alimentos; Embrapa Mandioca e Fruticultura. |
Data corrente: |
06/12/2022 |
Data da última atualização: |
06/12/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
SANTOS, C. S. dos; SOUSA, M. B. e; BRITO, A. C.; OLIVEIRA, L. A. de; CARVALHO, C. W. P. de; OLIVEIRA, E. J. de. |
Afiliação: |
CRISTIANO SILVA DOS SANTOS, UNIVERSIDADE FEDERAL DO RECÔNCAVO DA BAHIA; MASSAINE BANDEIRA E SOUSA, UNIVERSIDADE FEDERAL DO RECÔNCAVO DA BAHIA; ANA CARLA BRITO; LUCIANA ALVES DE OLIVEIRA, CNPMF; CARLOS WANDERLEI PILER DE CARVALHO, CTAA; EDER JORGE DE OLIVEIRA, CNPMF. |
Título: |
Phenotypic diversity of starch pasting properties in cassava for food industry. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Acta Scientiarum. Agronomy, v. 45, e56361, 2023. |
ISSN: |
1807-8621 |
DOI: |
10.4025/actasciagron.v45i1.56361 |
Idioma: |
Inglês |
Conteúdo: |
The aim of this study was to evaluate the phenotypic variation and diversity of cassava for breeding purposes based on the pasting properties of starch, for food applications. The viscosities of the starches, extracted from 1031 accessions, were obtained using a Rapid Visco Analyzer. The best linear unbiased predictors were calculated for five critical points of the viscograms, which were then used to cluster the accessions based on the discriminant analysis of principal components. The wide phenotypic variation identified from the viscograms reveals the high potential for selection gains, especially for pasting temperature and setback. Certain strong correlations indicate that selection based on a specific viscogram trait can be used for indirect selection (e.g., the correlation between peak viscosity and breakdown [0.85]). The lowest Bayesian information criterion identified five different groups. Groups 3 and 4 exhibited high pasting temperatures, while Groups 3 and 5 exhibited low setbacks. Group 3 also exhibited low viscosity and breakdown. However, we focused on selecting cassava accessions with a high pasting temperature and low setback, as these are the most important traits for industrial applications. The predicted genetic gains from the selection of the top 15 cassava accessions for increasing pasting temperature and decreasing setback were 4.40% and 53.17%, respectively. The increased pasting temperature (~72.89°C) and high amplitude of setback (~600 cP) due to selection can guide the utilization of the cassava germplasm for breeding and provide a basis for further studies to develop varieties with added value, especially in the food industry. MenosThe aim of this study was to evaluate the phenotypic variation and diversity of cassava for breeding purposes based on the pasting properties of starch, for food applications. The viscosities of the starches, extracted from 1031 accessions, were obtained using a Rapid Visco Analyzer. The best linear unbiased predictors were calculated for five critical points of the viscograms, which were then used to cluster the accessions based on the discriminant analysis of principal components. The wide phenotypic variation identified from the viscograms reveals the high potential for selection gains, especially for pasting temperature and setback. Certain strong correlations indicate that selection based on a specific viscogram trait can be used for indirect selection (e.g., the correlation between peak viscosity and breakdown [0.85]). The lowest Bayesian information criterion identified five different groups. Groups 3 and 4 exhibited high pasting temperatures, while Groups 3 and 5 exhibited low setbacks. Group 3 also exhibited low viscosity and breakdown. However, we focused on selecting cassava accessions with a high pasting temperature and low setback, as these are the most important traits for industrial applications. The predicted genetic gains from the selection of the top 15 cassava accessions for increasing pasting temperature and decreasing setback were 4.40% and 53.17%, respectively. The increased pasting temperature (~72.89°C) and high amplitude of setback (~600 cP) due to s... Mostrar Tudo |
Thesagro: |
Mandioca. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02335naa a2200217 a 4500 001 2149275 005 2022-12-06 008 2023 bl uuuu u00u1 u #d 022 $a1807-8621 024 7 $a10.4025/actasciagron.v45i1.56361$2DOI 100 1 $aSANTOS, C. S. dos 245 $aPhenotypic diversity of starch pasting properties in cassava for food industry.$h[electronic resource] 260 $c2023 520 $aThe aim of this study was to evaluate the phenotypic variation and diversity of cassava for breeding purposes based on the pasting properties of starch, for food applications. The viscosities of the starches, extracted from 1031 accessions, were obtained using a Rapid Visco Analyzer. The best linear unbiased predictors were calculated for five critical points of the viscograms, which were then used to cluster the accessions based on the discriminant analysis of principal components. The wide phenotypic variation identified from the viscograms reveals the high potential for selection gains, especially for pasting temperature and setback. Certain strong correlations indicate that selection based on a specific viscogram trait can be used for indirect selection (e.g., the correlation between peak viscosity and breakdown [0.85]). The lowest Bayesian information criterion identified five different groups. Groups 3 and 4 exhibited high pasting temperatures, while Groups 3 and 5 exhibited low setbacks. Group 3 also exhibited low viscosity and breakdown. However, we focused on selecting cassava accessions with a high pasting temperature and low setback, as these are the most important traits for industrial applications. The predicted genetic gains from the selection of the top 15 cassava accessions for increasing pasting temperature and decreasing setback were 4.40% and 53.17%, respectively. The increased pasting temperature (~72.89°C) and high amplitude of setback (~600 cP) due to selection can guide the utilization of the cassava germplasm for breeding and provide a basis for further studies to develop varieties with added value, especially in the food industry. 650 $aMandioca 700 1 $aSOUSA, M. B. e 700 1 $aBRITO, A. C. 700 1 $aOLIVEIRA, L. A. de 700 1 $aCARVALHO, C. W. P. de 700 1 $aOLIVEIRA, E. J. de 773 $tActa Scientiarum. Agronomy$gv. 45, e56361, 2023.
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