Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum)
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/14981 |
Resumo: | The use of best linear unbiased prediction/restricted maximum likelihood (BLUP/REML) in perennial crops and animal breeding enhances selection gain. However, its advantage with respect to annual crops is not clear. We compared the BLUP and best linear unbiased estimator selection efficiency in the breeding of various potato generations. This was done by simulating various selection intensities on clonal families (full sibs), and clones. The characters evaluated were tuber yield and tuber specific gravity. Two criteria were adopted for comparison: a) incidence of families or clones and b) selection gain. For tuber yield, BLUP/REML method was slightly more efficient for selecting families in the first clonal generation, if it were above 50%. Below this value, both methods were equivalent. However, they both presented equal behavior for family selection of tuber specific gravity. For clonal selection, BLUP/REML showed robust superiority from 10 to 90% selection intensities in both characters. Therefore, the adequate use of BLUP/REML in potato breeding can enhance the selection gain on the yield and specific gravity of tubers. © FUNPEC-RP. |
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Ticona-Benavente, César AugustoSilva Filho, Danilo Fernandes da2020-05-07T14:00:18Z2020-05-07T14:00:18Z2015https://repositorio.inpa.gov.br/handle/1/1498110.4238/2015.December.23.30The use of best linear unbiased prediction/restricted maximum likelihood (BLUP/REML) in perennial crops and animal breeding enhances selection gain. However, its advantage with respect to annual crops is not clear. We compared the BLUP and best linear unbiased estimator selection efficiency in the breeding of various potato generations. This was done by simulating various selection intensities on clonal families (full sibs), and clones. The characters evaluated were tuber yield and tuber specific gravity. Two criteria were adopted for comparison: a) incidence of families or clones and b) selection gain. For tuber yield, BLUP/REML method was slightly more efficient for selecting families in the first clonal generation, if it were above 50%. Below this value, both methods were equivalent. However, they both presented equal behavior for family selection of tuber specific gravity. For clonal selection, BLUP/REML showed robust superiority from 10 to 90% selection intensities in both characters. Therefore, the adequate use of BLUP/REML in potato breeding can enhance the selection gain on the yield and specific gravity of tubers. © FUNPEC-RP.Volume 14, Número 4, Pags. 18421-18430Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessBehaviorBreedingControlled StudyFamilyFamily StudyMaximum Likelihood MethodPotatoPredictionRelative DensityTuber YieldAlgorithmBiological ModelGenetic DatabaseSelection, GeneticGeneticsGravityPotatoAlgorithmsBreedingDatabases, GeneticGravitationModels, GeneticSelection, GeneticSolanum TuberosumComparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum)info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Researchengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfapplication/pdf1087823https://repositorio.inpa.gov.br/bitstream/1/14981/1/artigo-inpa.pdf91557e3ca3577966fd8eb899adaa353eMD51CC-LICENSElicense_rdfapplication/octet-stream914https://repositorio.inpa.gov.br/bitstream/1/14981/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD521/149812020-07-14 10:30:25.609oai:repositorio:1/14981Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T14:30:25Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) |
title |
Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) |
spellingShingle |
Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) Ticona-Benavente, César Augusto Behavior Breeding Controlled Study Family Family Study Maximum Likelihood Method Potato Prediction Relative Density Tuber Yield Algorithm Biological Model Genetic Database Selection, Genetic Genetics Gravity Potato Algorithms Breeding Databases, Genetic Gravitation Models, Genetic Selection, Genetic Solanum Tuberosum |
title_short |
Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) |
title_full |
Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) |
title_fullStr |
Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) |
title_full_unstemmed |
Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) |
title_sort |
Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) |
author |
Ticona-Benavente, César Augusto |
author_facet |
Ticona-Benavente, César Augusto Silva Filho, Danilo Fernandes da |
author_role |
author |
author2 |
Silva Filho, Danilo Fernandes da |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Ticona-Benavente, César Augusto Silva Filho, Danilo Fernandes da |
dc.subject.eng.fl_str_mv |
Behavior Breeding Controlled Study Family Family Study Maximum Likelihood Method Potato Prediction Relative Density Tuber Yield Algorithm Biological Model Genetic Database Selection, Genetic Genetics Gravity Potato Algorithms Breeding Databases, Genetic Gravitation Models, Genetic Selection, Genetic Solanum Tuberosum |
topic |
Behavior Breeding Controlled Study Family Family Study Maximum Likelihood Method Potato Prediction Relative Density Tuber Yield Algorithm Biological Model Genetic Database Selection, Genetic Genetics Gravity Potato Algorithms Breeding Databases, Genetic Gravitation Models, Genetic Selection, Genetic Solanum Tuberosum |
description |
The use of best linear unbiased prediction/restricted maximum likelihood (BLUP/REML) in perennial crops and animal breeding enhances selection gain. However, its advantage with respect to annual crops is not clear. We compared the BLUP and best linear unbiased estimator selection efficiency in the breeding of various potato generations. This was done by simulating various selection intensities on clonal families (full sibs), and clones. The characters evaluated were tuber yield and tuber specific gravity. Two criteria were adopted for comparison: a) incidence of families or clones and b) selection gain. For tuber yield, BLUP/REML method was slightly more efficient for selecting families in the first clonal generation, if it were above 50%. Below this value, both methods were equivalent. However, they both presented equal behavior for family selection of tuber specific gravity. For clonal selection, BLUP/REML showed robust superiority from 10 to 90% selection intensities in both characters. Therefore, the adequate use of BLUP/REML in potato breeding can enhance the selection gain on the yield and specific gravity of tubers. © FUNPEC-RP. |
publishDate |
2015 |
dc.date.issued.fl_str_mv |
2015 |
dc.date.accessioned.fl_str_mv |
2020-05-07T14:00:18Z |
dc.date.available.fl_str_mv |
2020-05-07T14:00:18Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://repositorio.inpa.gov.br/handle/1/14981 |
dc.identifier.doi.none.fl_str_mv |
10.4238/2015.December.23.30 |
url |
https://repositorio.inpa.gov.br/handle/1/14981 |
identifier_str_mv |
10.4238/2015.December.23.30 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 14, Número 4, Pags. 18421-18430 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Genetics and Molecular Research |
publisher.none.fl_str_mv |
Genetics and Molecular Research |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
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Repositório Institucional do INPA |
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