Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum)
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 b...
| Autor principal: | Ticona-Benavente, César Augusto |
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| Outros Autores: | Silva Filho, Danilo Fernandes da |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Genetics and Molecular Research
2020
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| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/14981 |
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oai:repositorio:1-14981 |
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oai:repositorio:1-14981 Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) Ticona-Benavente, César Augusto Silva Filho, Danilo Fernandes da 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 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. 2020-05-07T14:00:18Z 2020-05-07T14:00:18Z 2015 Artigo https://repositorio.inpa.gov.br/handle/1/14981 10.4238/2015.December.23.30 en Volume 14, Número 4, Pags. 18421-18430 Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ application/pdf Genetics and Molecular Research |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| 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 |
| spellingShingle |
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 Ticona-Benavente, César Augusto Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (Solanum tuberosum) |
| topic_facet |
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. |
| format |
Artigo |
| author |
Ticona-Benavente, César Augusto |
| author2 |
Silva Filho, Danilo Fernandes da |
| author2Str |
Silva Filho, Danilo Fernandes da |
| title |
Comparison of BLUE and BLUP/REML in the selection of clones and families of potato (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) |
| publisher |
Genetics and Molecular Research |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/14981 |
| _version_ |
1787141303539073024 |
| score |
11.755432 |