GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen

Detalhes bibliográficos
Autor(a) principal: Santos,Adriano dos
Data de Publicação: 2017
Outros Autores: Amaral Júnior,Antônio Teixeira do, Kurosawa,Railan do Nascimento Ferreira, Gerhardt,Ismael Fernando Schegoscheski, Fritsche Neto,Roberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência e Agrotecnologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000100022
Resumo: ABSTRACT Nitrogen is essential for sustaining life on the planet, and it is the most important nutrient for obtaining high agricultural production. However, their use leads to the release of nitrous oxide with a global warming potential 296 times higher than the CO2 molecule, making it a challenge to reduce their use in agriculture. The objective of this research was to identify efficient popcorn inbred lines and responsive nitrogen use and exhibit a good expansion volume. For this, 29 inbred lines from the Germplasm Collection of Darcy Ribeiro North Fluminense State University (UENF) were evaluated at two contrasting levels of nitrogen availability (low and ideal) at two representative locations in the north and northwest of the state of Rio de Janeiro, Brazil, arranged in a randomized block design with three replicates. These inbred lines were discriminated against efficient use of nitrogen by multivariate GGE Biplot. Selective accuracy was close to 1, showing that the genotypes were enough to provide contrasting success in selection procedures. The first two main components (PC) retained 93.82% of the total variation, and PC1 furnished an information ratio (IR) that was unaffected by noise. L77 was the most unstable line, while P7, P2, P6, P3, P5, P4, P9, P10, P8, P9, L70, L74, and L55 were efficient and responsive. The GGE biplot method is recommended for the reliable identification of popcorn lines that are efficient and responsive to the use of nitrogen.
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spelling GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogenZea maysmultivariate analysisabiotic stressG x E interaction.ABSTRACT Nitrogen is essential for sustaining life on the planet, and it is the most important nutrient for obtaining high agricultural production. However, their use leads to the release of nitrous oxide with a global warming potential 296 times higher than the CO2 molecule, making it a challenge to reduce their use in agriculture. The objective of this research was to identify efficient popcorn inbred lines and responsive nitrogen use and exhibit a good expansion volume. For this, 29 inbred lines from the Germplasm Collection of Darcy Ribeiro North Fluminense State University (UENF) were evaluated at two contrasting levels of nitrogen availability (low and ideal) at two representative locations in the north and northwest of the state of Rio de Janeiro, Brazil, arranged in a randomized block design with three replicates. These inbred lines were discriminated against efficient use of nitrogen by multivariate GGE Biplot. Selective accuracy was close to 1, showing that the genotypes were enough to provide contrasting success in selection procedures. The first two main components (PC) retained 93.82% of the total variation, and PC1 furnished an information ratio (IR) that was unaffected by noise. L77 was the most unstable line, while P7, P2, P6, P3, P5, P4, P9, P10, P8, P9, L70, L74, and L55 were efficient and responsive. The GGE biplot method is recommended for the reliable identification of popcorn lines that are efficient and responsive to the use of nitrogen.Editora da UFLA2017-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000100022Ciência e Agrotecnologia v.41 n.1 2017reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-70542017411030816info:eu-repo/semantics/openAccessSantos,Adriano dosAmaral Júnior,Antônio Teixeira doKurosawa,Railan do Nascimento FerreiraGerhardt,Ismael Fernando SchegoscheskiFritsche Neto,Robertoeng2017-02-23T00:00:00Zoai:scielo:S1413-70542017000100022Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:30.105340Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen
title GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen
spellingShingle GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen
Santos,Adriano dos
Zea mays
multivariate analysis
abiotic stress
G x E interaction.
title_short GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen
title_full GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen
title_fullStr GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen
title_full_unstemmed GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen
title_sort GGE Biplot projection in discriminating the efficiency of popcorn lines to use nitrogen
author Santos,Adriano dos
author_facet Santos,Adriano dos
Amaral Júnior,Antônio Teixeira do
Kurosawa,Railan do Nascimento Ferreira
Gerhardt,Ismael Fernando Schegoscheski
Fritsche Neto,Roberto
author_role author
author2 Amaral Júnior,Antônio Teixeira do
Kurosawa,Railan do Nascimento Ferreira
Gerhardt,Ismael Fernando Schegoscheski
Fritsche Neto,Roberto
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Santos,Adriano dos
Amaral Júnior,Antônio Teixeira do
Kurosawa,Railan do Nascimento Ferreira
Gerhardt,Ismael Fernando Schegoscheski
Fritsche Neto,Roberto
dc.subject.por.fl_str_mv Zea mays
multivariate analysis
abiotic stress
G x E interaction.
topic Zea mays
multivariate analysis
abiotic stress
G x E interaction.
description ABSTRACT Nitrogen is essential for sustaining life on the planet, and it is the most important nutrient for obtaining high agricultural production. However, their use leads to the release of nitrous oxide with a global warming potential 296 times higher than the CO2 molecule, making it a challenge to reduce their use in agriculture. The objective of this research was to identify efficient popcorn inbred lines and responsive nitrogen use and exhibit a good expansion volume. For this, 29 inbred lines from the Germplasm Collection of Darcy Ribeiro North Fluminense State University (UENF) were evaluated at two contrasting levels of nitrogen availability (low and ideal) at two representative locations in the north and northwest of the state of Rio de Janeiro, Brazil, arranged in a randomized block design with three replicates. These inbred lines were discriminated against efficient use of nitrogen by multivariate GGE Biplot. Selective accuracy was close to 1, showing that the genotypes were enough to provide contrasting success in selection procedures. The first two main components (PC) retained 93.82% of the total variation, and PC1 furnished an information ratio (IR) that was unaffected by noise. L77 was the most unstable line, while P7, P2, P6, P3, P5, P4, P9, P10, P8, P9, L70, L74, and L55 were efficient and responsive. The GGE biplot method is recommended for the reliable identification of popcorn lines that are efficient and responsive to the use of nitrogen.
publishDate 2017
dc.date.none.fl_str_mv 2017-02-01
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=S1413-70542017000100022
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542017000100022
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1413-70542017411030816
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 Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv Ciência e Agrotecnologia v.41 n.1 2017
reponame:Ciência e Agrotecnologia (Online)
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Ciência e Agrotecnologia (Online)
collection Ciência e Agrotecnologia (Online)
repository.name.fl_str_mv Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv ||renpaiva@dbi.ufla.br|| editora@editora.ufla.br
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