Reciprocal recurrent selection for obtaining water-deficit tolerant maize progeny
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , |
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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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 |
|
_version_ |
1749140556900990976 |