Path analysis for growth and grain yield of corn genotypes under different nitrogen doses
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Journal of Bioenergy and Food Science |
Texto Completo: | http://periodicos.ifap.edu.br/index.php/JBFS/article/view/13 |
Resumo: | Path analysis allows the deployment of the correlation coefficient in direct and indirect effects, allowing the study of cause and effect of a characteristic over the other. As nitrogen influences the development of culture, can also influence the path analysis results. The aim of this work was to evaluate the plant height and their daily increment the vegetative stage (V6) until the reproductive stage (R1), and grain yield of twelve genotypes under three different levels of nitrogen in coverage, and the contribution of these characteristics on grain yield. Three experiments were conducted, and each one was represented by three levels of nitrogen in coverage, 20, 80 e 140 kg.ha-1. The experimental design was randomized blocks with twelve treatments and three replications. For the Path analysis, plant height 4 (AP4) and growth rate 3 (TX3) were the yield components that showed the highest total correlation with the yield (0.462 and 0.661; respectively), when it was used 20 kg N.ha-1. The G3 genotype had shown the best results, and the nitrogen significantly influenced the characteristics: plant height and grain yield with greater efficiency for the level 80 of nitrogen in covered. |
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Path analysis for growth and grain yield of corn genotypes under different nitrogen dosesAnálise de trilha para crescimento e rendimento de genótipos de milho sob diferentes doses nitrogenadasAgricultural sciencesHeight, Increment, Phenological states, Zea mays, TocantinsCiências Agrárias; Fitotecnia; Melhoramento genéticoAltura; Incremento; Estados fenológicos; Zea Mays; Tocantins.Path analysis allows the deployment of the correlation coefficient in direct and indirect effects, allowing the study of cause and effect of a characteristic over the other. As nitrogen influences the development of culture, can also influence the path analysis results. The aim of this work was to evaluate the plant height and their daily increment the vegetative stage (V6) until the reproductive stage (R1), and grain yield of twelve genotypes under three different levels of nitrogen in coverage, and the contribution of these characteristics on grain yield. Three experiments were conducted, and each one was represented by three levels of nitrogen in coverage, 20, 80 e 140 kg.ha-1. The experimental design was randomized blocks with twelve treatments and three replications. For the Path analysis, plant height 4 (AP4) and growth rate 3 (TX3) were the yield components that showed the highest total correlation with the yield (0.462 and 0.661; respectively), when it was used 20 kg N.ha-1. The G3 genotype had shown the best results, and the nitrogen significantly influenced the characteristics: plant height and grain yield with greater efficiency for the level 80 of nitrogen in covered.A análise de trilha permite o desdobramento do coeficiente de correlação em efeitos diretos e indiretos, permitindo o estudo de causa e efeito de uma característica sobre a outra. Como o nitrogênio influência no desenvolvimento da cultura, também pode influenciar nos resultados da análise de trilha. O objetivo desse trabalho foi avaliar a altura de plantas e seu incremento diário do estádio vegetativo (V6) até o estádio reprodutivo (R1), o rendimento de grãos de doze genótipos de milho sob três doses diferentes de nitrogênio em cobertura, e a contribuição dessas características no rendimento de grãos. Foram realizados três experimentos, os quais foram representados por três doses de nitrogênio em cobertura, 20, 80 e 140 kg.ha-1. O delineamento foi em blocos ao acaso com doze tratamentos e três repetições. Pela análise de trilha, verificou-se que a altura de plantas 4 (AP4) e taxa de crescimento 3 (TX3) foram os componentes de rendimento que apresentaram maior correlação total com a produtividade (0,462 e 0,661; respectivamente), quando utilizado a dose 20 kg N.ha-1. O genótipo G3 foi o que apresentou melhores resultados, e o nitrogênio influenciou de forma significativa as características altura de planta e produção de grãos, com maior eficiência para a dose 80.Instituto Federal do AmapáUniversidade Federal do TocantinsCNPqFaria, Lucas Alves; Universidade Federal do TocantinsPeluzio, Joenes Mucci; Universidade Federal do Tocantins, UFTAfférri, Flávio Sérgio; Universidade Federal de São Carlos, UFSCarCarvalho, Edmar Vinícius de; Universidade Federal do Tocantins, UFTDotto, Michel Antônio; Universidade Federal do Tocantins, UFTFaria, Eduardo Alves; Universidade Federal do Tocantins, UFT2015-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionScientific articleapplication/pdfhttp://periodicos.ifap.edu.br/index.php/JBFS/article/view/1310.18067/jbfs.v2i1.13Journal of bioenergy and food science; Vol 2, No 1: Journal of Bioenergy and food science, jan/mar, 2015Journal of Bioenergy and Food Science; Vol 2, No 1: Journal of Bioenergy and food science, jan/mar, 20152359-27100000-000010.18067/jbfs.v2i1reponame:Journal of Bioenergy and Food Scienceinstname:Instituto Federal de Educação, Ciência e Tecnologia do Amapá (IFAP)instacron:IFAPporhttp://periodicos.ifap.edu.br/index.php/JBFS/article/view/13/34http://periodicos.ifap.edu.br/index.php/JBFS/article/downloadSuppFile/13/710.18067/jbfs.v2i1.13.g34Copyright (c) 2015 http://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccess2016-11-29T18:05:59Zoai:periodicos.ifap.edu.br:article/13Revistahttp://periodicos.ifap.edu.br/index.php/JBFSPUBhttp://periodicos.ifap.edu.br/index.php/JBFS/oai||victor.sales@ifap.edu.br10.180672359-27102359-2710opendoar:2016-11-29T18:05:59Journal of Bioenergy and Food Science - Instituto Federal de Educação, Ciência e Tecnologia do Amapá (IFAP)false |
dc.title.none.fl_str_mv |
Path analysis for growth and grain yield of corn genotypes under different nitrogen doses Análise de trilha para crescimento e rendimento de genótipos de milho sob diferentes doses nitrogenadas |
title |
Path analysis for growth and grain yield of corn genotypes under different nitrogen doses |
spellingShingle |
Path analysis for growth and grain yield of corn genotypes under different nitrogen doses Faria, Lucas Alves; Universidade Federal do Tocantins Agricultural sciences Height, Increment, Phenological states, Zea mays, Tocantins Ciências Agrárias; Fitotecnia; Melhoramento genético Altura; Incremento; Estados fenológicos; Zea Mays; Tocantins. |
title_short |
Path analysis for growth and grain yield of corn genotypes under different nitrogen doses |
title_full |
Path analysis for growth and grain yield of corn genotypes under different nitrogen doses |
title_fullStr |
Path analysis for growth and grain yield of corn genotypes under different nitrogen doses |
title_full_unstemmed |
Path analysis for growth and grain yield of corn genotypes under different nitrogen doses |
title_sort |
Path analysis for growth and grain yield of corn genotypes under different nitrogen doses |
author |
Faria, Lucas Alves; Universidade Federal do Tocantins |
author_facet |
Faria, Lucas Alves; Universidade Federal do Tocantins Peluzio, Joenes Mucci; Universidade Federal do Tocantins, UFT Afférri, Flávio Sérgio; Universidade Federal de São Carlos, UFSCar Carvalho, Edmar Vinícius de; Universidade Federal do Tocantins, UFT Dotto, Michel Antônio; Universidade Federal do Tocantins, UFT Faria, Eduardo Alves; Universidade Federal do Tocantins, UFT |
author_role |
author |
author2 |
Peluzio, Joenes Mucci; Universidade Federal do Tocantins, UFT Afférri, Flávio Sérgio; Universidade Federal de São Carlos, UFSCar Carvalho, Edmar Vinícius de; Universidade Federal do Tocantins, UFT Dotto, Michel Antônio; Universidade Federal do Tocantins, UFT Faria, Eduardo Alves; Universidade Federal do Tocantins, UFT |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Federal do Tocantins CNPq |
dc.contributor.author.fl_str_mv |
Faria, Lucas Alves; Universidade Federal do Tocantins Peluzio, Joenes Mucci; Universidade Federal do Tocantins, UFT Afférri, Flávio Sérgio; Universidade Federal de São Carlos, UFSCar Carvalho, Edmar Vinícius de; Universidade Federal do Tocantins, UFT Dotto, Michel Antônio; Universidade Federal do Tocantins, UFT Faria, Eduardo Alves; Universidade Federal do Tocantins, UFT |
dc.subject.por.fl_str_mv |
Agricultural sciences Height, Increment, Phenological states, Zea mays, Tocantins Ciências Agrárias; Fitotecnia; Melhoramento genético Altura; Incremento; Estados fenológicos; Zea Mays; Tocantins. |
topic |
Agricultural sciences Height, Increment, Phenological states, Zea mays, Tocantins Ciências Agrárias; Fitotecnia; Melhoramento genético Altura; Incremento; Estados fenológicos; Zea Mays; Tocantins. |
description |
Path analysis allows the deployment of the correlation coefficient in direct and indirect effects, allowing the study of cause and effect of a characteristic over the other. As nitrogen influences the development of culture, can also influence the path analysis results. The aim of this work was to evaluate the plant height and their daily increment the vegetative stage (V6) until the reproductive stage (R1), and grain yield of twelve genotypes under three different levels of nitrogen in coverage, and the contribution of these characteristics on grain yield. Three experiments were conducted, and each one was represented by three levels of nitrogen in coverage, 20, 80 e 140 kg.ha-1. The experimental design was randomized blocks with twelve treatments and three replications. For the Path analysis, plant height 4 (AP4) and growth rate 3 (TX3) were the yield components that showed the highest total correlation with the yield (0.462 and 0.661; respectively), when it was used 20 kg N.ha-1. The G3 genotype had shown the best results, and the nitrogen significantly influenced the characteristics: plant height and grain yield with greater efficiency for the level 80 of nitrogen in covered. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-04-01 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Scientific article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://periodicos.ifap.edu.br/index.php/JBFS/article/view/13 10.18067/jbfs.v2i1.13 |
url |
http://periodicos.ifap.edu.br/index.php/JBFS/article/view/13 |
identifier_str_mv |
10.18067/jbfs.v2i1.13 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://periodicos.ifap.edu.br/index.php/JBFS/article/view/13/34 http://periodicos.ifap.edu.br/index.php/JBFS/article/downloadSuppFile/13/7 10.18067/jbfs.v2i1.13.g34 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2015 http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2015 http://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto Federal do Amapá |
publisher.none.fl_str_mv |
Instituto Federal do Amapá |
dc.source.none.fl_str_mv |
Journal of bioenergy and food science; Vol 2, No 1: Journal of Bioenergy and food science, jan/mar, 2015 Journal of Bioenergy and Food Science; Vol 2, No 1: Journal of Bioenergy and food science, jan/mar, 2015 2359-2710 0000-0000 10.18067/jbfs.v2i1 reponame:Journal of Bioenergy and Food Science instname:Instituto Federal de Educação, Ciência e Tecnologia do Amapá (IFAP) instacron:IFAP |
instname_str |
Instituto Federal de Educação, Ciência e Tecnologia do Amapá (IFAP) |
instacron_str |
IFAP |
institution |
IFAP |
reponame_str |
Journal of Bioenergy and Food Science |
collection |
Journal of Bioenergy and Food Science |
repository.name.fl_str_mv |
Journal of Bioenergy and Food Science - Instituto Federal de Educação, Ciência e Tecnologia do Amapá (IFAP) |
repository.mail.fl_str_mv |
||victor.sales@ifap.edu.br |
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1798949631423414272 |