Effective selection criteria for assessing the resistance of stink bugs complex in soybean
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Crop Breeding and Applied Biotechnology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332014000300006 |
Resumo: | Soybean plants with resistance to the stink bug complex are currently selected by extremely labor-intensive methods, which limit the evaluation of a large number of genotypes. Thus, this paper proposed the use of an alternative trait underlying the selection of resistant genotypes under field conditions with natural infestation: the weightof healthy seeds (WHS). To this end, 24 genotypes were evaluated under two management systems: with systematic chemical control of insects (management I), and without control (management II). Different indices were calculated using grain weight (Y P) of management I and WHS ofmanagement II (Y S). The high correlation between Y Sand the indices mean productivity, stress tolerance and geometric mean productivity, plus the agreement in determining the groups of genotypes with resistance and high yield indicate that WHS is a useful character insimultaneous selection for these traits. |
id |
CBAB-1_74218115affea8d17f3031af077562dc |
---|---|
oai_identifier_str |
oai:scielo:S1984-70332014000300006 |
network_acronym_str |
CBAB-1 |
network_name_str |
Crop Breeding and Applied Biotechnology |
repository_id_str |
|
spelling |
Effective selection criteria for assessing the resistance of stink bugs complex in soybeanGlycine maxNezara viridulaPiezodorus guildiniiEuschistus herosSoybean plants with resistance to the stink bug complex are currently selected by extremely labor-intensive methods, which limit the evaluation of a large number of genotypes. Thus, this paper proposed the use of an alternative trait underlying the selection of resistant genotypes under field conditions with natural infestation: the weightof healthy seeds (WHS). To this end, 24 genotypes were evaluated under two management systems: with systematic chemical control of insects (management I), and without control (management II). Different indices were calculated using grain weight (Y P) of management I and WHS ofmanagement II (Y S). The high correlation between Y Sand the indices mean productivity, stress tolerance and geometric mean productivity, plus the agreement in determining the groups of genotypes with resistance and high yield indicate that WHS is a useful character insimultaneous selection for these traits.Crop Breeding and Applied Biotechnology2014-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332014000300006Crop Breeding and Applied Biotechnology v.14 n.3 2014reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/1984-70332014v14n3a26info:eu-repo/semantics/openAccessRocha,Fabiani daBermudez,FelipeFerreira,Mônica ChristinaOliveira,Kênia Carvalho dePinheiro,José Baldineng2014-11-25T00:00:00Zoai:scielo:S1984-70332014000300006Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2014-11-25T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse |
dc.title.none.fl_str_mv |
Effective selection criteria for assessing the resistance of stink bugs complex in soybean |
title |
Effective selection criteria for assessing the resistance of stink bugs complex in soybean |
spellingShingle |
Effective selection criteria for assessing the resistance of stink bugs complex in soybean Rocha,Fabiani da Glycine max Nezara viridula Piezodorus guildinii Euschistus heros |
title_short |
Effective selection criteria for assessing the resistance of stink bugs complex in soybean |
title_full |
Effective selection criteria for assessing the resistance of stink bugs complex in soybean |
title_fullStr |
Effective selection criteria for assessing the resistance of stink bugs complex in soybean |
title_full_unstemmed |
Effective selection criteria for assessing the resistance of stink bugs complex in soybean |
title_sort |
Effective selection criteria for assessing the resistance of stink bugs complex in soybean |
author |
Rocha,Fabiani da |
author_facet |
Rocha,Fabiani da Bermudez,Felipe Ferreira,Mônica Christina Oliveira,Kênia Carvalho de Pinheiro,José Baldin |
author_role |
author |
author2 |
Bermudez,Felipe Ferreira,Mônica Christina Oliveira,Kênia Carvalho de Pinheiro,José Baldin |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Rocha,Fabiani da Bermudez,Felipe Ferreira,Mônica Christina Oliveira,Kênia Carvalho de Pinheiro,José Baldin |
dc.subject.por.fl_str_mv |
Glycine max Nezara viridula Piezodorus guildinii Euschistus heros |
topic |
Glycine max Nezara viridula Piezodorus guildinii Euschistus heros |
description |
Soybean plants with resistance to the stink bug complex are currently selected by extremely labor-intensive methods, which limit the evaluation of a large number of genotypes. Thus, this paper proposed the use of an alternative trait underlying the selection of resistant genotypes under field conditions with natural infestation: the weightof healthy seeds (WHS). To this end, 24 genotypes were evaluated under two management systems: with systematic chemical control of insects (management I), and without control (management II). Different indices were calculated using grain weight (Y P) of management I and WHS ofmanagement II (Y S). The high correlation between Y Sand the indices mean productivity, stress tolerance and geometric mean productivity, plus the agreement in determining the groups of genotypes with resistance and high yield indicate that WHS is a useful character insimultaneous selection for these traits. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-10-01 |
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=S1984-70332014000300006 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332014000300006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1984-70332014v14n3a26 |
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 |
Crop Breeding and Applied Biotechnology |
publisher.none.fl_str_mv |
Crop Breeding and Applied Biotechnology |
dc.source.none.fl_str_mv |
Crop Breeding and Applied Biotechnology v.14 n.3 2014 reponame:Crop Breeding and Applied Biotechnology instname:Sociedade Brasileira de Melhoramento de Plantas instacron:CBAB |
instname_str |
Sociedade Brasileira de Melhoramento de Plantas |
instacron_str |
CBAB |
institution |
CBAB |
reponame_str |
Crop Breeding and Applied Biotechnology |
collection |
Crop Breeding and Applied Biotechnology |
repository.name.fl_str_mv |
Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantas |
repository.mail.fl_str_mv |
cbabjournal@gmail.com||cbab@ufv.br |
_version_ |
1754209186722349056 |