Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regions
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência Rural |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000500151 |
Resumo: | ABSTRACT: Soybean is a commodity of great economic importance worldwide, particularly in Brazil, world’s second largest producer. Nematodes, especially those of the Meloidogyne genus, severely limit productivity. Identification of nematode species is important for effective soybean management. Here, 26 populations of root-knot nematode (Meloidogyne spp.) from 15 municipalities in the states of Bahia, Mato Grosso, Goias, and Minas Gerais were characterized based on the morphology of the female perineal region, esterase profile, and identification based on amplification of specific regions of the population genome. Among the Meloidogyne spp. populations obtained, M. incognita and M. javanica, were identified. No mixed populations were present in the samples. Diagnosis based on molecular analysis was shown to be reliable and the fastest for characterization of nematode populations compared to other methods analyzed. |
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Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regionsroot-knot nematodeGlycine maxesterasemolecular identificationABSTRACT: Soybean is a commodity of great economic importance worldwide, particularly in Brazil, world’s second largest producer. Nematodes, especially those of the Meloidogyne genus, severely limit productivity. Identification of nematode species is important for effective soybean management. Here, 26 populations of root-knot nematode (Meloidogyne spp.) from 15 municipalities in the states of Bahia, Mato Grosso, Goias, and Minas Gerais were characterized based on the morphology of the female perineal region, esterase profile, and identification based on amplification of specific regions of the population genome. Among the Meloidogyne spp. populations obtained, M. incognita and M. javanica, were identified. No mixed populations were present in the samples. Diagnosis based on molecular analysis was shown to be reliable and the fastest for characterization of nematode populations compared to other methods analyzed.Universidade Federal de Santa Maria2017-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000500151Ciência Rural v.47 n.5 2017reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20160634info:eu-repo/semantics/openAccessOliveira,Camilla Martins deSouza Junior,Ismail TeodoroAraújo Filho,Jerônimo Vieira deFreitas,Marcos Augusto deRocha,Mara Rúbia daPetrofeza,Silvanaeng2017-03-21T00:00:00ZRevista |
dc.title.none.fl_str_mv |
Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regions |
title |
Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regions |
spellingShingle |
Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regions Oliveira,Camilla Martins de root-knot nematode Glycine max esterase molecular identification |
title_short |
Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regions |
title_full |
Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regions |
title_fullStr |
Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regions |
title_full_unstemmed |
Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regions |
title_sort |
Morphological, biochemical, and molecular characterization of Meloidogyne spp. populations from Brazilian soybean production regions |
author |
Oliveira,Camilla Martins de |
author_facet |
Oliveira,Camilla Martins de Souza Junior,Ismail Teodoro Araújo Filho,Jerônimo Vieira de Freitas,Marcos Augusto de Rocha,Mara Rúbia da Petrofeza,Silvana |
author_role |
author |
author2 |
Souza Junior,Ismail Teodoro Araújo Filho,Jerônimo Vieira de Freitas,Marcos Augusto de Rocha,Mara Rúbia da Petrofeza,Silvana |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Oliveira,Camilla Martins de Souza Junior,Ismail Teodoro Araújo Filho,Jerônimo Vieira de Freitas,Marcos Augusto de Rocha,Mara Rúbia da Petrofeza,Silvana |
dc.subject.por.fl_str_mv |
root-knot nematode Glycine max esterase molecular identification |
topic |
root-knot nematode Glycine max esterase molecular identification |
description |
ABSTRACT: Soybean is a commodity of great economic importance worldwide, particularly in Brazil, world’s second largest producer. Nematodes, especially those of the Meloidogyne genus, severely limit productivity. Identification of nematode species is important for effective soybean management. Here, 26 populations of root-knot nematode (Meloidogyne spp.) from 15 municipalities in the states of Bahia, Mato Grosso, Goias, and Minas Gerais were characterized based on the morphology of the female perineal region, esterase profile, and identification based on amplification of specific regions of the population genome. Among the Meloidogyne spp. populations obtained, M. incognita and M. javanica, were identified. No mixed populations were present in the samples. Diagnosis based on molecular analysis was shown to be reliable and the fastest for characterization of nematode populations compared to other methods analyzed. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000500151 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000500151 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0103-8478cr20160634 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
dc.source.none.fl_str_mv |
Ciência Rural v.47 n.5 2017 reponame:Ciência Rural instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
instname_str |
Universidade Federal de Santa Maria (UFSM) |
instacron_str |
UFSM |
institution |
UFSM |
reponame_str |
Ciência Rural |
collection |
Ciência Rural |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140551278526464 |