Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum)

Detalhes bibliográficos
Autor(a) principal: Ticona-Benavente, César Augusto
Data de Publicação: 2015
Outros Autores: Silva Filho, Danilo Fernandes da
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.
id INPA-2_a40c4728c8eec8bec1f4500dea678abf
oai_identifier_str oai:repositorio:1/14981
network_acronym_str INPA-2
network_name_str Repositório Institucional do INPA
repository_id_str
spelling 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
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Repositório Institucional do INPA
collection Repositório Institucional do INPA
bitstream.url.fl_str_mv https://repositorio.inpa.gov.br/bitstream/1/14981/1/artigo-inpa.pdf
https://repositorio.inpa.gov.br/bitstream/1/14981/2/license_rdf
bitstream.checksum.fl_str_mv 91557e3ca3577966fd8eb899adaa353e
4d2950bda3d176f570a9f8b328dfbbef
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)
repository.mail.fl_str_mv
_version_ 1809928857479806976