Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system.
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/631709 |
Resumo: | Although alfalfa (Medicago sativa L.) is a leguminous herbage widely used in temperate regions as animal feed, there is not much research in tropical regions to develop cultivars adapted to these environmental conditions. The utilization of adapted cultivars with adequate management practices is important to improve productivity, quality and persistence of cultivated pastures. The objectives of this study were to verify the genetic variability among alfalfa cultivars and to rank them using mixed model methodology. A total of 35 alfalfa cultivars were evaluated in the rainy and dry seasons, from 1996 to 2000, in plots of 2.8 m2 in Sertãozinho, São Paulo, Brazil. The experimental design was a randomized complete block with three replications. Longitudinal data of dry matter yield were analyzed using PROC MIXED of SAS® System. Several covariance structures were tested and the spherical spatial structure was selected. The results show that the genetic variability was statistically significant only for the dry season. Moreover, the interaction among cultivars and harvests variance was highly significant for both seasons. The empirical best linear unbiased predictions of cultivar effects were obtained, allowing for the selection of the superior cultivars MH 15, 5715, SW 8210, Rio, High, 5888, Monarca, Victoria, Florida 77 and Falcon. Crioula, the most common cultivar in Brazil, showed low forage potential in Sertãozinho. Results indicate potential for use of more productive cultivars of alfalfa to produce animal feed in tropical environments. |
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Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system.PROC MIXEDSAS systemAnális estatísticaAnálisis estadísticoFitomejoramientoLeguminosas forrajerasTrópicosVariación genéticaMelhoramento genético vegetalLeguminosa forrageiraAlfafaMedicago sativaVariação genéticaVariedade resistenteClima tropicalMétodo estatísticoAlfalfaPlant breedingForage legumesGenetic variationTropicsStatistical analysisAlthough alfalfa (Medicago sativa L.) is a leguminous herbage widely used in temperate regions as animal feed, there is not much research in tropical regions to develop cultivars adapted to these environmental conditions. The utilization of adapted cultivars with adequate management practices is important to improve productivity, quality and persistence of cultivated pastures. The objectives of this study were to verify the genetic variability among alfalfa cultivars and to rank them using mixed model methodology. A total of 35 alfalfa cultivars were evaluated in the rainy and dry seasons, from 1996 to 2000, in plots of 2.8 m2 in Sertãozinho, São Paulo, Brazil. The experimental design was a randomized complete block with three replications. Longitudinal data of dry matter yield were analyzed using PROC MIXED of SAS® System. Several covariance structures were tested and the spherical spatial structure was selected. The results show that the genetic variability was statistically significant only for the dry season. Moreover, the interaction among cultivars and harvests variance was highly significant for both seasons. The empirical best linear unbiased predictions of cultivar effects were obtained, allowing for the selection of the superior cultivars MH 15, 5715, SW 8210, Rio, High, 5888, Monarca, Victoria, Florida 77 and Falcon. Crioula, the most common cultivar in Brazil, showed low forage potential in Sertãozinho. Results indicate potential for use of more productive cultivars of alfalfa to produce animal feed in tropical environments.GISELLE MARIANO LESSA DE ASSIS, CPAF-AC; UNESP; Instituto de Ciência Animal, SP; UNESP; JOSE MARQUES CARNEIRO JUNIOR, CPAF-AC.ASSIS, G. M. L. deRUGGIERI, A. C.MERCADANTE, M. E. Z.CAMARGO, G. M. F. deCARNEIRO JUNIOR, J. M.2011-04-10T11:11:11Z2011-04-10T11:11:11Z2010-01-2920092019-01-09T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePlant Genetic Resources, United Kingdom, v. 8, n.1, p. 55-62, Apr. 2009.1479-2621 (impresso)http://www.alice.cnptia.embrapa.br/alice/handle/doc/63170910.1017/S1479262109990153.enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T01:45:32Zoai:www.alice.cnptia.embrapa.br:doc/631709Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T01:45:32falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T01:45:32Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system. |
title |
Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system. |
spellingShingle |
Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system. ASSIS, G. M. L. de PROC MIXED SAS system Anális estatística Análisis estadístico Fitomejoramiento Leguminosas forrajeras Trópicos Variación genética Melhoramento genético vegetal Leguminosa forrageira Alfafa Medicago sativa Variação genética Variedade resistente Clima tropical Método estatístico Alfalfa Plant breeding Forage legumes Genetic variation Tropics Statistical analysis |
title_short |
Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system. |
title_full |
Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system. |
title_fullStr |
Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system. |
title_full_unstemmed |
Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system. |
title_sort |
Selection of alfafa cultivars adapted for tropical environments with repeated measures using PROC MIXED of SAS system. |
author |
ASSIS, G. M. L. de |
author_facet |
ASSIS, G. M. L. de RUGGIERI, A. C. MERCADANTE, M. E. Z. CAMARGO, G. M. F. de CARNEIRO JUNIOR, J. M. |
author_role |
author |
author2 |
RUGGIERI, A. C. MERCADANTE, M. E. Z. CAMARGO, G. M. F. de CARNEIRO JUNIOR, J. M. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
GISELLE MARIANO LESSA DE ASSIS, CPAF-AC; UNESP; Instituto de Ciência Animal, SP; UNESP; JOSE MARQUES CARNEIRO JUNIOR, CPAF-AC. |
dc.contributor.author.fl_str_mv |
ASSIS, G. M. L. de RUGGIERI, A. C. MERCADANTE, M. E. Z. CAMARGO, G. M. F. de CARNEIRO JUNIOR, J. M. |
dc.subject.por.fl_str_mv |
PROC MIXED SAS system Anális estatística Análisis estadístico Fitomejoramiento Leguminosas forrajeras Trópicos Variación genética Melhoramento genético vegetal Leguminosa forrageira Alfafa Medicago sativa Variação genética Variedade resistente Clima tropical Método estatístico Alfalfa Plant breeding Forage legumes Genetic variation Tropics Statistical analysis |
topic |
PROC MIXED SAS system Anális estatística Análisis estadístico Fitomejoramiento Leguminosas forrajeras Trópicos Variación genética Melhoramento genético vegetal Leguminosa forrageira Alfafa Medicago sativa Variação genética Variedade resistente Clima tropical Método estatístico Alfalfa Plant breeding Forage legumes Genetic variation Tropics Statistical analysis |
description |
Although alfalfa (Medicago sativa L.) is a leguminous herbage widely used in temperate regions as animal feed, there is not much research in tropical regions to develop cultivars adapted to these environmental conditions. The utilization of adapted cultivars with adequate management practices is important to improve productivity, quality and persistence of cultivated pastures. The objectives of this study were to verify the genetic variability among alfalfa cultivars and to rank them using mixed model methodology. A total of 35 alfalfa cultivars were evaluated in the rainy and dry seasons, from 1996 to 2000, in plots of 2.8 m2 in Sertãozinho, São Paulo, Brazil. The experimental design was a randomized complete block with three replications. Longitudinal data of dry matter yield were analyzed using PROC MIXED of SAS® System. Several covariance structures were tested and the spherical spatial structure was selected. The results show that the genetic variability was statistically significant only for the dry season. Moreover, the interaction among cultivars and harvests variance was highly significant for both seasons. The empirical best linear unbiased predictions of cultivar effects were obtained, allowing for the selection of the superior cultivars MH 15, 5715, SW 8210, Rio, High, 5888, Monarca, Victoria, Florida 77 and Falcon. Crioula, the most common cultivar in Brazil, showed low forage potential in Sertãozinho. Results indicate potential for use of more productive cultivars of alfalfa to produce animal feed in tropical environments. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009 2010-01-29 2011-04-10T11:11:11Z 2011-04-10T11:11:11Z 2019-01-09T11:11:11Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Plant Genetic Resources, United Kingdom, v. 8, n.1, p. 55-62, Apr. 2009. 1479-2621 (impresso) http://www.alice.cnptia.embrapa.br/alice/handle/doc/631709 10.1017/S1479262109990153. |
identifier_str_mv |
Plant Genetic Resources, United Kingdom, v. 8, n.1, p. 55-62, Apr. 2009. 1479-2621 (impresso) 10.1017/S1479262109990153. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/631709 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503401372909568 |