Adaptability and stability of soybean advanced lines of semi early cycle for rust resistance
Autor(a) principal: | |
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Data de Publicação: | 2012 |
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=S1984-70332012000100006 |
Resumo: | This research work was carried out to verify the adaptability and phenotypic stability of soybean inbred lines of semi early cycle, using rust severity as the selection trait for partial resistance. The strains were evaluated during the growing seasons of 2007/08 and 2008/09, in the locations of Uberlândia and Uberaba, MG, Campo Alegre de Goiás and Senador Canedo, GO, using a randomized complete block design with three replications. Rust severity was evaluated by visual assessment of the leaflets at the medial third of five plants in each plot. By using disease severity, it was estimated: the mean absolute rate of disease progress (r), the area under the disease progress curve (AUDPC) and the partial resistance factor (PRF). Adaptability and stability of the strains were estimated by the methods proposed by Eberhart and Russell, as well as by the AMMI method. It was found that the strains which were the most resistant to rust, in general, also showed the best adaptability and stability. |
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Adaptability and stability of soybean advanced lines of semi early cycle for rust resistanceGlycine maxPhakopsora pachyrhizipartial resistancemean absolute rate of disease progresspartial resistance factorThis research work was carried out to verify the adaptability and phenotypic stability of soybean inbred lines of semi early cycle, using rust severity as the selection trait for partial resistance. The strains were evaluated during the growing seasons of 2007/08 and 2008/09, in the locations of Uberlândia and Uberaba, MG, Campo Alegre de Goiás and Senador Canedo, GO, using a randomized complete block design with three replications. Rust severity was evaluated by visual assessment of the leaflets at the medial third of five plants in each plot. By using disease severity, it was estimated: the mean absolute rate of disease progress (r), the area under the disease progress curve (AUDPC) and the partial resistance factor (PRF). Adaptability and stability of the strains were estimated by the methods proposed by Eberhart and Russell, as well as by the AMMI method. It was found that the strains which were the most resistant to rust, in general, also showed the best adaptability and stability.Crop Breeding and Applied Biotechnology2012-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332012000100006Crop Breeding and Applied Biotechnology v.12 n.1 2012reponame:Crop Breeding and Applied Biotechnologyinstname:Sociedade Brasileira de Melhoramento de Plantasinstacron:CBAB10.1590/S1984-70332012000100006info:eu-repo/semantics/openAccessMartins,Juliana Araújo SantosJuliatti,Fernando Cézareng2012-05-21T00:00:00Zoai:scielo:S1984-70332012000100006Revistahttps://cbab.sbmp.org.br/#ONGhttps://old.scielo.br/oai/scielo-oai.phpcbabjournal@gmail.com||cbab@ufv.br1984-70331518-7853opendoar:2012-05-21T00:00Crop Breeding and Applied Biotechnology - Sociedade Brasileira de Melhoramento de Plantasfalse |
dc.title.none.fl_str_mv |
Adaptability and stability of soybean advanced lines of semi early cycle for rust resistance |
title |
Adaptability and stability of soybean advanced lines of semi early cycle for rust resistance |
spellingShingle |
Adaptability and stability of soybean advanced lines of semi early cycle for rust resistance Martins,Juliana Araújo Santos Glycine max Phakopsora pachyrhizi partial resistance mean absolute rate of disease progress partial resistance factor |
title_short |
Adaptability and stability of soybean advanced lines of semi early cycle for rust resistance |
title_full |
Adaptability and stability of soybean advanced lines of semi early cycle for rust resistance |
title_fullStr |
Adaptability and stability of soybean advanced lines of semi early cycle for rust resistance |
title_full_unstemmed |
Adaptability and stability of soybean advanced lines of semi early cycle for rust resistance |
title_sort |
Adaptability and stability of soybean advanced lines of semi early cycle for rust resistance |
author |
Martins,Juliana Araújo Santos |
author_facet |
Martins,Juliana Araújo Santos Juliatti,Fernando Cézar |
author_role |
author |
author2 |
Juliatti,Fernando Cézar |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Martins,Juliana Araújo Santos Juliatti,Fernando Cézar |
dc.subject.por.fl_str_mv |
Glycine max Phakopsora pachyrhizi partial resistance mean absolute rate of disease progress partial resistance factor |
topic |
Glycine max Phakopsora pachyrhizi partial resistance mean absolute rate of disease progress partial resistance factor |
description |
This research work was carried out to verify the adaptability and phenotypic stability of soybean inbred lines of semi early cycle, using rust severity as the selection trait for partial resistance. The strains were evaluated during the growing seasons of 2007/08 and 2008/09, in the locations of Uberlândia and Uberaba, MG, Campo Alegre de Goiás and Senador Canedo, GO, using a randomized complete block design with three replications. Rust severity was evaluated by visual assessment of the leaflets at the medial third of five plants in each plot. By using disease severity, it was estimated: the mean absolute rate of disease progress (r), the area under the disease progress curve (AUDPC) and the partial resistance factor (PRF). Adaptability and stability of the strains were estimated by the methods proposed by Eberhart and Russell, as well as by the AMMI method. It was found that the strains which were the most resistant to rust, in general, also showed the best adaptability and stability. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-03-01 |
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=S1984-70332012000100006 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1984-70332012000100006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1984-70332012000100006 |
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.12 n.1 2012 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_ |
1754209186268315648 |