ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER

Detalhes bibliográficos
Autor(a) principal: Albuquerque, Rommel Raphael Santos de
Data de Publicação: 2020
Outros Autores: Cavalcanti, José Jaime Vanconcelos, Farias, Francisco José Correia, Queiroz, Damião Raniere, Carvalho, Luiz Paulo de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Caatinga
Texto Completo: https://periodicos.ufersa.edu.br/caatinga/article/view/8370
Resumo: Naturally-colored cotton fiber has received attention from breeding programs in the semiarid region of northeastern Brazil due to an increased interest in its fibers. Therefore, this study aimed to select genotypes of colored cotton fiber for agronomic and technological fiber characteristics for the Brazilian semi-arid conditions. The experiment was carried out in two environments (Patos-PB and Apodi-RN) in Brazil during the 2016 growing season. The experimental design was in randomized blocks with four replications. Treatments consisted of eleven colored fiber genotypes and three controls (BRS Topázio, BRS Rubi, and BRS Verde). The following traits were assessed: seed cotton yield (SCY, kg ha−1), lint percentage (LP, %), lint length (LEN, mm), lint strength (STR, gf tex−1), and lint micronaire (MIC, µg in−1). The data were submitted to individual and joint variance analyses, and means were grouped by the Scott and Knott (1974) test at 0.05 probability. Genotypes showed variability in all traits, which allows genetic gains in subsequent cycles of selection. The genotypes BRS Topázio, CNPA 2002 10245, and CNPA 2002 10327 presented the best estimates for the assessed traits, thus they can be selected for future studies in cotton breeding programs in the semiarid region.
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spelling ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBERESTIMATIVAS DE PARÂMETROS GENÉTICOS PARA SELEÇÃO DE ALGODOEIRO DE FIBRA COLORIDAMelhoramento vegetal. Ganhos genéticos. Gossypium hirsutum L.Plant breeding. Genetic gains. Gossypium hirsutum L.Naturally-colored cotton fiber has received attention from breeding programs in the semiarid region of northeastern Brazil due to an increased interest in its fibers. Therefore, this study aimed to select genotypes of colored cotton fiber for agronomic and technological fiber characteristics for the Brazilian semi-arid conditions. The experiment was carried out in two environments (Patos-PB and Apodi-RN) in Brazil during the 2016 growing season. The experimental design was in randomized blocks with four replications. Treatments consisted of eleven colored fiber genotypes and three controls (BRS Topázio, BRS Rubi, and BRS Verde). The following traits were assessed: seed cotton yield (SCY, kg ha−1), lint percentage (LP, %), lint length (LEN, mm), lint strength (STR, gf tex−1), and lint micronaire (MIC, µg in−1). The data were submitted to individual and joint variance analyses, and means were grouped by the Scott and Knott (1974) test at 0.05 probability. Genotypes showed variability in all traits, which allows genetic gains in subsequent cycles of selection. The genotypes BRS Topázio, CNPA 2002 10245, and CNPA 2002 10327 presented the best estimates for the assessed traits, thus they can be selected for future studies in cotton breeding programs in the semiarid region.O algodoeiro de fibra natural colorida tem recebido atenção dos programas de melhoramento na região semiárida do Nordeste brasileiro devido ao aumento no interesse por este tipo de fibra. Com isso, o objetivo deste trabalho foi selecionar genótipos de algodoeiro de fibra colorida quanto às características agronômicas e tecnológicas da fibra para as condições da região semiárida brasileira. O experimento foi realizado em dois ambientes (Patos-PB e Apodi-RN), na safra de 2016. O delineamento foi blocos ao acaso com quatro repetições. Foram utilizados 11 genótipos de fibra colorida e três testemunhas (BRS Topázio, BRS Rubi e BRS Verde), constituindo 14 tratamentos. As características avaliadas foram: Produtividade de algodão em caroço (PROD, kg.ha-1), Porcentagem de fibra (PF, %), Comprimento de fibra (COMP, mm), Resistência (RES, gf.tex-1) e Finura (FIN, μg.in-1). Os dados foram submetidos à análise de variância individual e conjunta e as médias foram agrupadas pelo teste de Scott e Knott (1974) a 0.05 de probabilidade. Os genótipos apresentaram variabilidade para as características estudadas com possibilidade de ganhos genéticos em ciclos posteriores de seleção. BRS Topázio, CNPA 2002 10245 e CNPA 2002 10327 apresentaram as melhores estimativas para as características avaliadas, sendo selecionados para futuros trabalhos de melhoramento do algodoeiro para o semiárido.Universidade Federal Rural do Semi-Árido2020-02-14info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/837010.1590/1983-21252020v33n127rcREVISTA CAATINGA; Vol. 33 No. 01 (2020); 253-259Revista Caatinga; v. 33 n. 01 (2020); 253-2591983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/8370/10174Copyright (c) 2020 Revista Caatingainfo:eu-repo/semantics/openAccessAlbuquerque, Rommel Raphael Santos de Cavalcanti, José Jaime VanconcelosFarias, Francisco José CorreiaQueiroz, Damião RaniereCarvalho, Luiz Paulo de2023-07-20T18:35:38Zoai:ojs.periodicos.ufersa.edu.br:article/8370Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2024-04-29T09:46:39.236425Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)true
dc.title.none.fl_str_mv ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER
ESTIMATIVAS DE PARÂMETROS GENÉTICOS PARA SELEÇÃO DE ALGODOEIRO DE FIBRA COLORIDA
title ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER
spellingShingle ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER
Albuquerque, Rommel Raphael Santos de
Melhoramento vegetal. Ganhos genéticos. Gossypium hirsutum L.
Plant breeding. Genetic gains. Gossypium hirsutum L.
title_short ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER
title_full ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER
title_fullStr ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER
title_full_unstemmed ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER
title_sort ESTIMATES OF GENETIC PARAMETERS FOR SELECTION OF COLORED COTTON FIBER
author Albuquerque, Rommel Raphael Santos de
author_facet Albuquerque, Rommel Raphael Santos de
Cavalcanti, José Jaime Vanconcelos
Farias, Francisco José Correia
Queiroz, Damião Raniere
Carvalho, Luiz Paulo de
author_role author
author2 Cavalcanti, José Jaime Vanconcelos
Farias, Francisco José Correia
Queiroz, Damião Raniere
Carvalho, Luiz Paulo de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Albuquerque, Rommel Raphael Santos de
Cavalcanti, José Jaime Vanconcelos
Farias, Francisco José Correia
Queiroz, Damião Raniere
Carvalho, Luiz Paulo de
dc.subject.por.fl_str_mv Melhoramento vegetal. Ganhos genéticos. Gossypium hirsutum L.
Plant breeding. Genetic gains. Gossypium hirsutum L.
topic Melhoramento vegetal. Ganhos genéticos. Gossypium hirsutum L.
Plant breeding. Genetic gains. Gossypium hirsutum L.
description Naturally-colored cotton fiber has received attention from breeding programs in the semiarid region of northeastern Brazil due to an increased interest in its fibers. Therefore, this study aimed to select genotypes of colored cotton fiber for agronomic and technological fiber characteristics for the Brazilian semi-arid conditions. The experiment was carried out in two environments (Patos-PB and Apodi-RN) in Brazil during the 2016 growing season. The experimental design was in randomized blocks with four replications. Treatments consisted of eleven colored fiber genotypes and three controls (BRS Topázio, BRS Rubi, and BRS Verde). The following traits were assessed: seed cotton yield (SCY, kg ha−1), lint percentage (LP, %), lint length (LEN, mm), lint strength (STR, gf tex−1), and lint micronaire (MIC, µg in−1). The data were submitted to individual and joint variance analyses, and means were grouped by the Scott and Knott (1974) test at 0.05 probability. Genotypes showed variability in all traits, which allows genetic gains in subsequent cycles of selection. The genotypes BRS Topázio, CNPA 2002 10245, and CNPA 2002 10327 presented the best estimates for the assessed traits, thus they can be selected for future studies in cotton breeding programs in the semiarid region.
publishDate 2020
dc.date.none.fl_str_mv 2020-02-14
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/8370
10.1590/1983-21252020v33n127rc
url https://periodicos.ufersa.edu.br/caatinga/article/view/8370
identifier_str_mv 10.1590/1983-21252020v33n127rc
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/8370/10174
dc.rights.driver.fl_str_mv Copyright (c) 2020 Revista Caatinga
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Revista Caatinga
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
dc.source.none.fl_str_mv REVISTA CAATINGA; Vol. 33 No. 01 (2020); 253-259
Revista Caatinga; v. 33 n. 01 (2020); 253-259
1983-2125
0100-316X
reponame:Revista Caatinga
instname:Universidade Federal Rural do Semi-Árido (UFERSA)
instacron:UFERSA
instname_str Universidade Federal Rural do Semi-Árido (UFERSA)
instacron_str UFERSA
institution UFERSA
reponame_str Revista Caatinga
collection Revista Caatinga
repository.name.fl_str_mv Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)
repository.mail.fl_str_mv patricio@ufersa.edu.br|| caatinga@ufersa.edu.br
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