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Registro Completo |
Biblioteca(s): |
Embrapa Mandioca e Fruticultura; Embrapa Recursos Genéticos e Biotecnologia. |
Data corrente: |
14/11/2013 |
Data da última atualização: |
09/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
OLIVEIRA, G. A. F.; PADUA, J. G.; COSTA, J. L.; JESUS, O. N. de; CARVALHO, F. M. de; OLIVEIRA, E. J. de. |
Afiliação: |
GILMARA ALVARENGA FACHARDO OLIVEIRA, UFRB; JULIANO GOMES PADUA, CENARGEN; JULIANA LELES COSTA, UFRB; ONILDO NUNES DE JESUS, CNPMF; FABIANA MORAES DE CARVALHO, FAMAM; EDER JORGE DE OLIVEIRA, CNPMF. |
Título: |
Cross-species Amplification of Microsatellite Loci Developed for Passiflora edulis Sims. in Related Passiflora Species. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Brazilian Archives of Biology and Technology, v.56 n.5: pp. 785-792, Sept/Oct 2013. |
Idioma: |
Inglês |
Conteúdo: |
The aim of this study was to evaluate the selected 41 SSR markers developed for yellow passion fruit (Passiflora edulis f. flavicarpa Sims.) for their transferability to 11 different Passiflora species. Twenty-one SSR were successfully amplified in 10 wild species of passion fruit producing 101 bands. All the markers were amplifiable for at least one species. The mean transferability was 68,8%, ranging from 15,4% (primer PE11) to 100 % (PE13, PE18, PE37, PE41 and PE88). Transferability was higher for the species from the Passiflora subgenus than for those from the Decaloba and Dysosmia subgenus. The results indicated a high level of nucleotide sequence conservation of the primer regions in the species evaluated, and consequently, they could potentially be used for the establishment of molecular strategies for use in passion fruit breeding and genetics. |
Palavras-Chave: |
Passion fruit. |
Thesagro: |
Maracujá. |
Thesaurus Nal: |
Breeding. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 01559naa a2200217 a 4500 001 1976773 005 2023-03-09 008 2013 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, G. A. F. 245 $aCross-species Amplification of Microsatellite Loci Developed for Passiflora edulis Sims. in Related Passiflora Species.$h[electronic resource] 260 $c2013 520 $aThe aim of this study was to evaluate the selected 41 SSR markers developed for yellow passion fruit (Passiflora edulis f. flavicarpa Sims.) for their transferability to 11 different Passiflora species. Twenty-one SSR were successfully amplified in 10 wild species of passion fruit producing 101 bands. All the markers were amplifiable for at least one species. The mean transferability was 68,8%, ranging from 15,4% (primer PE11) to 100 % (PE13, PE18, PE37, PE41 and PE88). Transferability was higher for the species from the Passiflora subgenus than for those from the Decaloba and Dysosmia subgenus. The results indicated a high level of nucleotide sequence conservation of the primer regions in the species evaluated, and consequently, they could potentially be used for the establishment of molecular strategies for use in passion fruit breeding and genetics. 650 $aBreeding 650 $aMaracujá 653 $aPassion fruit 700 1 $aPADUA, J. G. 700 1 $aCOSTA, J. L. 700 1 $aJESUS, O. N. de 700 1 $aCARVALHO, F. M. de 700 1 $aOLIVEIRA, E. J. de 773 $tBrazilian Archives of Biology and Technology$gv.56 n.5: pp. 785-792, Sept/Oct 2013.
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Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Biblioteca(s): |
Embrapa Amapá; Embrapa Amazônia Oriental. |
Data corrente: |
07/03/2017 |
Data da última atualização: |
19/05/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
GUERREIRO, Q. L. de M.; OLIVEIRA JUNIOR, R. C. de; SANTOS, G. R. dos; RUIVO, M. de L. P.; BELDINI, T. P.; CARVALHO, E. J. M.; SILVA, K. E. da; GUEDES, M. C.; SANTOS, P. R. B. |
Afiliação: |
Quêzia Leandro de Moura Guerreiro, GRADUANDA UFPA; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Gérson Rodrigues dos Santos, UFV; Maria de Lourdes Pinheiro Ruivo, MPEG; Troy Patrick Beldini, UFOPA; EDUARDO JORGE MAKLOUF CARVALHO, CPATU; KATIA EMIDIO DA SILVA, CPAA; MARCELINO CARNEIRO GUEDES, CPAF-AP; Paulo Roberto Brasil Santos, UFOPA. |
Título: |
Spatial variability of soil physical and chemical aspects in a Brazil nut tree stand in the Brazilian Amazon. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
African Journal of Agricultural Research, v. 12, n. 4, p. 237-250, Jan. 2017. |
DOI: |
10.5897/AJAR2016.11766 |
Idioma: |
Inglês |
Conteúdo: |
The Brazil nut is considered one of the noblest trees of the Amazon biome and contains social, ecologic and economic importance to this region. The study of the spatial variance of the edaphic properties in native nut trees can direct future researches about more efficient samplings. The Geostatistics is the methodology utilized for this type of study, once that it considers the structural and random characteristics of a variable spatially distributed. This work sought to get a higher knowledge about the distribution of the nutrients in the soil, verifying the relationship with the occurrence of this species, to thereby provide subsidies to future forest management and maintenance/enlargement of the productivity in these areas. The soil samples were collected from 30 × 30 m on the line, in all of the lines in part of the study, totaling 60 samples. All of the points were georeferenced. The preparation of the samples for the sample preparation for the chemical analysis and the methods and calculations to determine the physicochemical variables studied were described by Nogueira and Souza (2005). The statistical and geostatistical analysis were conducted using the R computational environment, version 3.2.2. Most of the studied variables presented defined level. For the physical variables, there was predominance of the adjustment to the model of the gaussian variogram, follower by the spherical model. In the case of the chemical variables, there were two occurrences for each adjustment model (spherical, exponential and gaussian). The variables that best presented spatial relation with the occurrence of Brazil nut trees were the silt, clay, macroporosity, pH, phosphorus, zinc and copper. MenosThe Brazil nut is considered one of the noblest trees of the Amazon biome and contains social, ecologic and economic importance to this region. The study of the spatial variance of the edaphic properties in native nut trees can direct future researches about more efficient samplings. The Geostatistics is the methodology utilized for this type of study, once that it considers the structural and random characteristics of a variable spatially distributed. This work sought to get a higher knowledge about the distribution of the nutrients in the soil, verifying the relationship with the occurrence of this species, to thereby provide subsidies to future forest management and maintenance/enlargement of the productivity in these areas. The soil samples were collected from 30 × 30 m on the line, in all of the lines in part of the study, totaling 60 samples. All of the points were georeferenced. The preparation of the samples for the sample preparation for the chemical analysis and the methods and calculations to determine the physicochemical variables studied were described by Nogueira and Souza (2005). The statistical and geostatistical analysis were conducted using the R computational environment, version 3.2.2. Most of the studied variables presented defined level. For the physical variables, there was predominance of the adjustment to the model of the gaussian variogram, follower by the spherical model. In the case of the chemical variables, there were two occurrences for each ad... Mostrar Tudo |
Palavras-Chave: |
Castanha do Brasil; Geoestatística; Propriedades físicas; Propriedades químicas. |
Thesagro: |
Solo. |
Categoria do assunto: |
-- K Ciência Florestal e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/157251/1/cosme2017.pdf
|
Marc: |
LEADER 02636naa a2200289 a 4500 001 2066425 005 2022-05-19 008 2017 bl uuuu u00u1 u #d 024 7 $a10.5897/AJAR2016.11766$2DOI 100 1 $aGUERREIRO, Q. L. de M. 245 $aSpatial variability of soil physical and chemical aspects in a Brazil nut tree stand in the Brazilian Amazon.$h[electronic resource] 260 $c2017 520 $aThe Brazil nut is considered one of the noblest trees of the Amazon biome and contains social, ecologic and economic importance to this region. The study of the spatial variance of the edaphic properties in native nut trees can direct future researches about more efficient samplings. The Geostatistics is the methodology utilized for this type of study, once that it considers the structural and random characteristics of a variable spatially distributed. This work sought to get a higher knowledge about the distribution of the nutrients in the soil, verifying the relationship with the occurrence of this species, to thereby provide subsidies to future forest management and maintenance/enlargement of the productivity in these areas. The soil samples were collected from 30 × 30 m on the line, in all of the lines in part of the study, totaling 60 samples. All of the points were georeferenced. The preparation of the samples for the sample preparation for the chemical analysis and the methods and calculations to determine the physicochemical variables studied were described by Nogueira and Souza (2005). The statistical and geostatistical analysis were conducted using the R computational environment, version 3.2.2. Most of the studied variables presented defined level. For the physical variables, there was predominance of the adjustment to the model of the gaussian variogram, follower by the spherical model. In the case of the chemical variables, there were two occurrences for each adjustment model (spherical, exponential and gaussian). The variables that best presented spatial relation with the occurrence of Brazil nut trees were the silt, clay, macroporosity, pH, phosphorus, zinc and copper. 650 $aSolo 653 $aCastanha do Brasil 653 $aGeoestatística 653 $aPropriedades físicas 653 $aPropriedades químicas 700 1 $aOLIVEIRA JUNIOR, R. C. de 700 1 $aSANTOS, G. R. dos 700 1 $aRUIVO, M. de L. P. 700 1 $aBELDINI, T. P. 700 1 $aCARVALHO, E. J. M. 700 1 $aSILVA, K. E. da 700 1 $aGUEDES, M. C. 700 1 $aSANTOS, P. R. B. 773 $tAfrican Journal of Agricultural Research$gv. 12, n. 4, p. 237-250, Jan. 2017.
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