Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny

Detalhes bibliográficos
Autor(a) principal: Valadares,Fernanda Vargas
Data de Publicação: 2022
Outros Autores: Almeida,Rafael Nunes de, Silva,Lázaro Renilton Emerick, Santos,Geferson Rocha, Pirovani,Raissa Olmo Lacerda, Souza Neto,José Dias de, Berilli,Ana Paula Cândido Gabriel, Moulin,Monique Moreira, Vivas,Marcelo, Berilli,Sávio da Silva, Pereira,Messias Gonzaga
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782022000500403
Resumo: ABSTRACT: In view of the need to increase genetic variability to obtain materials with a significant capacity to drought tolerance, this study conducted a cycle of a reciprocal recurrent selection of full-sib families of maize. To this end, 64 full-sib families of maize were evaluated in two environments according to their morpho-agronomic data in a randomized block design with two replicates. It were analyzed of Male flowering (MF); Female flowering (FF); Flowering interval (IF); days for flowering (DF); Plant height (PH); Ear height (EH); number of plants at the Stand (NPS); Number of broken plant (NBrP); Number of bedded plants (NBeP); Strawing (St); Ear length (EL); Ear diameter (ED); Ear number (EN); Prolificacy (Pr); Number of diseased ears (NDE); Number of ears attacked by pests (NEP); Ear weight (EW); Yield (YIE) and Total Chlorophyll Index (TCI). The analysis of variance was performed by the F test at 5% significance level, and also the evaluation of genetic parameters. Regarding morpho-agronomic data, the analysis of variance and the analysis of genetic parameters showed that there was no interaction genotype x environment with regard to the genetic variability among the families under study. Lastly, the final selection of the superior genotypes was made on the basis of the ranking of the 40 most productive families, from which, combined with the molecular data, the 30 most productive, most drought-tolerant, and most genetically diverse ones were selected to compose the next cycle of recurrent maize selection aiming water-stress tolerance.
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spelling Reciprocal recurrent selection for obtaining water-deficit tolerant maize progenygenetic diversityinterpopulation breedingreciprocal recurrent selectionwater stressABSTRACT: In view of the need to increase genetic variability to obtain materials with a significant capacity to drought tolerance, this study conducted a cycle of a reciprocal recurrent selection of full-sib families of maize. To this end, 64 full-sib families of maize were evaluated in two environments according to their morpho-agronomic data in a randomized block design with two replicates. It were analyzed of Male flowering (MF); Female flowering (FF); Flowering interval (IF); days for flowering (DF); Plant height (PH); Ear height (EH); number of plants at the Stand (NPS); Number of broken plant (NBrP); Number of bedded plants (NBeP); Strawing (St); Ear length (EL); Ear diameter (ED); Ear number (EN); Prolificacy (Pr); Number of diseased ears (NDE); Number of ears attacked by pests (NEP); Ear weight (EW); Yield (YIE) and Total Chlorophyll Index (TCI). The analysis of variance was performed by the F test at 5% significance level, and also the evaluation of genetic parameters. Regarding morpho-agronomic data, the analysis of variance and the analysis of genetic parameters showed that there was no interaction genotype x environment with regard to the genetic variability among the families under study. Lastly, the final selection of the superior genotypes was made on the basis of the ranking of the 40 most productive families, from which, combined with the molecular data, the 30 most productive, most drought-tolerant, and most genetically diverse ones were selected to compose the next cycle of recurrent maize selection aiming water-stress tolerance.Universidade Federal de Santa Maria2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782022000500403Ciência Rural v.52 n.5 2022reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20210162info:eu-repo/semantics/openAccessValadares,Fernanda VargasAlmeida,Rafael Nunes deSilva,Lázaro Renilton EmerickSantos,Geferson RochaPirovani,Raissa Olmo LacerdaSouza Neto,José Dias deBerilli,Ana Paula Cândido GabrielMoulin,Monique MoreiraVivas,MarceloBerilli,Sávio da SilvaPereira,Messias Gonzagaeng2021-10-27T00:00:00ZRevista
dc.title.none.fl_str_mv Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny
title Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny
spellingShingle Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny
Valadares,Fernanda Vargas
genetic diversity
interpopulation breeding
reciprocal recurrent selection
water stress
title_short Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny
title_full Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny
title_fullStr Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny
title_full_unstemmed Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny
title_sort Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny
author Valadares,Fernanda Vargas
author_facet Valadares,Fernanda Vargas
Almeida,Rafael Nunes de
Silva,Lázaro Renilton Emerick
Santos,Geferson Rocha
Pirovani,Raissa Olmo Lacerda
Souza Neto,José Dias de
Berilli,Ana Paula Cândido Gabriel
Moulin,Monique Moreira
Vivas,Marcelo
Berilli,Sávio da Silva
Pereira,Messias Gonzaga
author_role author
author2 Almeida,Rafael Nunes de
Silva,Lázaro Renilton Emerick
Santos,Geferson Rocha
Pirovani,Raissa Olmo Lacerda
Souza Neto,José Dias de
Berilli,Ana Paula Cândido Gabriel
Moulin,Monique Moreira
Vivas,Marcelo
Berilli,Sávio da Silva
Pereira,Messias Gonzaga
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Valadares,Fernanda Vargas
Almeida,Rafael Nunes de
Silva,Lázaro Renilton Emerick
Santos,Geferson Rocha
Pirovani,Raissa Olmo Lacerda
Souza Neto,José Dias de
Berilli,Ana Paula Cândido Gabriel
Moulin,Monique Moreira
Vivas,Marcelo
Berilli,Sávio da Silva
Pereira,Messias Gonzaga
dc.subject.por.fl_str_mv genetic diversity
interpopulation breeding
reciprocal recurrent selection
water stress
topic genetic diversity
interpopulation breeding
reciprocal recurrent selection
water stress
description ABSTRACT: In view of the need to increase genetic variability to obtain materials with a significant capacity to drought tolerance, this study conducted a cycle of a reciprocal recurrent selection of full-sib families of maize. To this end, 64 full-sib families of maize were evaluated in two environments according to their morpho-agronomic data in a randomized block design with two replicates. It were analyzed of Male flowering (MF); Female flowering (FF); Flowering interval (IF); days for flowering (DF); Plant height (PH); Ear height (EH); number of plants at the Stand (NPS); Number of broken plant (NBrP); Number of bedded plants (NBeP); Strawing (St); Ear length (EL); Ear diameter (ED); Ear number (EN); Prolificacy (Pr); Number of diseased ears (NDE); Number of ears attacked by pests (NEP); Ear weight (EW); Yield (YIE) and Total Chlorophyll Index (TCI). The analysis of variance was performed by the F test at 5% significance level, and also the evaluation of genetic parameters. Regarding morpho-agronomic data, the analysis of variance and the analysis of genetic parameters showed that there was no interaction genotype x environment with regard to the genetic variability among the families under study. Lastly, the final selection of the superior genotypes was made on the basis of the ranking of the 40 most productive families, from which, combined with the molecular data, the 30 most productive, most drought-tolerant, and most genetically diverse ones were selected to compose the next cycle of recurrent maize selection aiming water-stress tolerance.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S0103-84782022000500403
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782022000500403
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20210162
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 Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.52 n.5 2022
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
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