Can elite maize landraces help to improve forage yield and quality? A genetic analysis

Autores
Incognito, Salvador Juan Pablo; Eyherabide, Guillermo Hugo; Lopez, Cesar Gabriel
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Broadening the genetic base of maize breeding program is a significant concern for plant breeders, since it restricts the magnitude of genetic gain. Identification of promissory exotic elite maize (Zea mays L) germplasm would be useful to increase the genetic variation within typically used heterotic groups and to improve the forage yield and quality. This study is aimed to assess the genetic potential of a group of elite maize landraces to improve forage yield and quality related traits and to broaden the genetic base of three temperate heterotic groups. Mean values and landrace general combining ability effects (GCAl) revealed that some landraces could be considered as a valuable genetic resource to broaden the current genetic base through introgression of forage yield and quality favorable alleles. When stover and ear dry matter yield were considered, ARZM17035 was the best landrace since it produced the best performing landrace × inbred line crosses that also were stable across environments. Additionally, this landrace showed high GCAl. Considering quality traits, ARZM07134 was the most promising source of favorable alleles. The use of B73 as tester in a recurrent selection scheme would be the most efficient strategy, since both mentioned landraces crossed to B73, showed the highest yield and quality values. Additionally, evaluated traits were mainly controlled by additive effects, so it is expected to obtain a positive response by selection.
Fil: Incognito, Salvador Juan Pablo. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Eyherabide, Guillermo Hugo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lopez, Cesar Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina
Materia
Recursos genéticos
Mejoramiento vegetal
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/106738
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Can elite maize landraces help to improve forage yield and quality? A genetic analysisIncognito, Salvador Juan PabloEyherabide, Guillermo HugoLopez, Cesar GabrielRecursos genéticosMejoramiento vegetalhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Broadening the genetic base of maize breeding program is a significant concern for plant breeders, since it restricts the magnitude of genetic gain. Identification of promissory exotic elite maize (Zea mays L) germplasm would be useful to increase the genetic variation within typically used heterotic groups and to improve the forage yield and quality. This study is aimed to assess the genetic potential of a group of elite maize landraces to improve forage yield and quality related traits and to broaden the genetic base of three temperate heterotic groups. Mean values and landrace general combining ability effects (GCAl) revealed that some landraces could be considered as a valuable genetic resource to broaden the current genetic base through introgression of forage yield and quality favorable alleles. When stover and ear dry matter yield were considered, ARZM17035 was the best landrace since it produced the best performing landrace × inbred line crosses that also were stable across environments. Additionally, this landrace showed high GCAl. Considering quality traits, ARZM07134 was the most promising source of favorable alleles. The use of B73 as tester in a recurrent selection scheme would be the most efficient strategy, since both mentioned landraces crossed to B73, showed the highest yield and quality values. Additionally, evaluated traits were mainly controlled by additive effects, so it is expected to obtain a positive response by selection.Fil: Incognito, Salvador Juan Pablo. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Eyherabide, Guillermo Hugo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lopez, Cesar Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; ArgentinaMaydica-ist Sper Cerealicoltur2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/106738Incognito, Salvador Juan Pablo; Eyherabide, Guillermo Hugo; Lopez, Cesar Gabriel; Can elite maize landraces help to improve forage yield and quality? A genetic analysis; Maydica-ist Sper Cerealicoltur; Maydica; 61; M25; 6-2016; 1-100025-61532279-8013CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://journals-crea.4science.it/index.php/maydica/article/view/1543info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:46:48Zoai:ri.conicet.gov.ar:11336/106738instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:46:49.207CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Can elite maize landraces help to improve forage yield and quality? A genetic analysis
title Can elite maize landraces help to improve forage yield and quality? A genetic analysis
spellingShingle Can elite maize landraces help to improve forage yield and quality? A genetic analysis
Incognito, Salvador Juan Pablo
Recursos genéticos
Mejoramiento vegetal
title_short Can elite maize landraces help to improve forage yield and quality? A genetic analysis
title_full Can elite maize landraces help to improve forage yield and quality? A genetic analysis
title_fullStr Can elite maize landraces help to improve forage yield and quality? A genetic analysis
title_full_unstemmed Can elite maize landraces help to improve forage yield and quality? A genetic analysis
title_sort Can elite maize landraces help to improve forage yield and quality? A genetic analysis
dc.creator.none.fl_str_mv Incognito, Salvador Juan Pablo
Eyherabide, Guillermo Hugo
Lopez, Cesar Gabriel
author Incognito, Salvador Juan Pablo
author_facet Incognito, Salvador Juan Pablo
Eyherabide, Guillermo Hugo
Lopez, Cesar Gabriel
author_role author
author2 Eyherabide, Guillermo Hugo
Lopez, Cesar Gabriel
author2_role author
author
dc.subject.none.fl_str_mv Recursos genéticos
Mejoramiento vegetal
topic Recursos genéticos
Mejoramiento vegetal
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Broadening the genetic base of maize breeding program is a significant concern for plant breeders, since it restricts the magnitude of genetic gain. Identification of promissory exotic elite maize (Zea mays L) germplasm would be useful to increase the genetic variation within typically used heterotic groups and to improve the forage yield and quality. This study is aimed to assess the genetic potential of a group of elite maize landraces to improve forage yield and quality related traits and to broaden the genetic base of three temperate heterotic groups. Mean values and landrace general combining ability effects (GCAl) revealed that some landraces could be considered as a valuable genetic resource to broaden the current genetic base through introgression of forage yield and quality favorable alleles. When stover and ear dry matter yield were considered, ARZM17035 was the best landrace since it produced the best performing landrace × inbred line crosses that also were stable across environments. Additionally, this landrace showed high GCAl. Considering quality traits, ARZM07134 was the most promising source of favorable alleles. The use of B73 as tester in a recurrent selection scheme would be the most efficient strategy, since both mentioned landraces crossed to B73, showed the highest yield and quality values. Additionally, evaluated traits were mainly controlled by additive effects, so it is expected to obtain a positive response by selection.
Fil: Incognito, Salvador Juan Pablo. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Eyherabide, Guillermo Hugo. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires Norte. Estación Experimental Agropecuaria Pergamino; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lopez, Cesar Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina
description Broadening the genetic base of maize breeding program is a significant concern for plant breeders, since it restricts the magnitude of genetic gain. Identification of promissory exotic elite maize (Zea mays L) germplasm would be useful to increase the genetic variation within typically used heterotic groups and to improve the forage yield and quality. This study is aimed to assess the genetic potential of a group of elite maize landraces to improve forage yield and quality related traits and to broaden the genetic base of three temperate heterotic groups. Mean values and landrace general combining ability effects (GCAl) revealed that some landraces could be considered as a valuable genetic resource to broaden the current genetic base through introgression of forage yield and quality favorable alleles. When stover and ear dry matter yield were considered, ARZM17035 was the best landrace since it produced the best performing landrace × inbred line crosses that also were stable across environments. Additionally, this landrace showed high GCAl. Considering quality traits, ARZM07134 was the most promising source of favorable alleles. The use of B73 as tester in a recurrent selection scheme would be the most efficient strategy, since both mentioned landraces crossed to B73, showed the highest yield and quality values. Additionally, evaluated traits were mainly controlled by additive effects, so it is expected to obtain a positive response by selection.
publishDate 2016
dc.date.none.fl_str_mv 2016-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/106738
Incognito, Salvador Juan Pablo; Eyherabide, Guillermo Hugo; Lopez, Cesar Gabriel; Can elite maize landraces help to improve forage yield and quality? A genetic analysis; Maydica-ist Sper Cerealicoltur; Maydica; 61; M25; 6-2016; 1-10
0025-6153
2279-8013
CONICET Digital
CONICET
url http://hdl.handle.net/11336/106738
identifier_str_mv Incognito, Salvador Juan Pablo; Eyherabide, Guillermo Hugo; Lopez, Cesar Gabriel; Can elite maize landraces help to improve forage yield and quality? A genetic analysis; Maydica-ist Sper Cerealicoltur; Maydica; 61; M25; 6-2016; 1-10
0025-6153
2279-8013
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://journals-crea.4science.it/index.php/maydica/article/view/1543
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Maydica-ist Sper Cerealicoltur
publisher.none.fl_str_mv Maydica-ist Sper Cerealicoltur
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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