Efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants
The constrained linear genomic selection index (CLGSI) is a linear combination of genomic estimated breeding values useful for predicting the net genetic merit, which in turn is a linear combination of true unobservable breeding values of the traits weighted by their respective economic values. The CLGSI is the most general genomic index and allows imposing constraints on the expected genetic gain per trait to make some traits change their mean values based on a predetermined level, while the rest of them remain without restrictions. In addition, it includes the unconstrained linear genomic index as a particular case. Using two real datasets and simulated data for seven selection cycles, we compared the theoretical results of the CLGSI with the theoretical results of the constrained linear phenotypic selection index (CLPSI). The criteria used to compare CLGSI vs. CLPSI efficiency were the estimated expected genetic gain per trait values, the selection response, and the interval between selection cycles. The results indicated that because the interval between selection cycles is shorter for the CLGSI than for the CLPSI, CLGSI is more efficient than CLPSI per unit of time, but its efficiency could be lower per selection cycle. Thus, CLGSI is a good option for performing genomic selection when there are genotyped candidates for selection.
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Format: | Article biblioteca |
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Genetics Society of America
2019
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Subjects: | Genomic Estimated, Expected Genetic Gain Per Trait, Genomic Estimated Breeding Value, BREEDING VALUE, SELECTION RESPONSES, GENETIC GAIN, GENETIC MARKERS, SELECTION INDEX, |
Online Access: | https://hdl.handle.net/10883/20599 |
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dig-cimmyt-10883-205992021-02-09T18:25:03Z Efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants Ceron Rojas, J.J. Crossa, J. Genomic Estimated Expected Genetic Gain Per Trait Genomic Estimated Breeding Value BREEDING VALUE SELECTION RESPONSES GENETIC GAIN GENETIC MARKERS SELECTION INDEX The constrained linear genomic selection index (CLGSI) is a linear combination of genomic estimated breeding values useful for predicting the net genetic merit, which in turn is a linear combination of true unobservable breeding values of the traits weighted by their respective economic values. The CLGSI is the most general genomic index and allows imposing constraints on the expected genetic gain per trait to make some traits change their mean values based on a predetermined level, while the rest of them remain without restrictions. In addition, it includes the unconstrained linear genomic index as a particular case. Using two real datasets and simulated data for seven selection cycles, we compared the theoretical results of the CLGSI with the theoretical results of the constrained linear phenotypic selection index (CLPSI). The criteria used to compare CLGSI vs. CLPSI efficiency were the estimated expected genetic gain per trait values, the selection response, and the interval between selection cycles. The results indicated that because the interval between selection cycles is shorter for the CLGSI than for the CLPSI, CLGSI is more efficient than CLPSI per unit of time, but its efficiency could be lower per selection cycle. Thus, CLGSI is a good option for performing genomic selection when there are genotyped candidates for selection. 3981-3994 2019-12-19T01:10:18Z 2019-12-19T01:10:18Z 2019 Article Published Version 2160-1836 (Print) https://hdl.handle.net/10883/20599 10.1534/g3.119.400677 English Open Access PDF Bethesda, MD (USA) Genetics Society of America 12 9 G3: Genes, Genomes, Genetics |
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Genomic Estimated Expected Genetic Gain Per Trait Genomic Estimated Breeding Value BREEDING VALUE SELECTION RESPONSES GENETIC GAIN GENETIC MARKERS SELECTION INDEX Genomic Estimated Expected Genetic Gain Per Trait Genomic Estimated Breeding Value BREEDING VALUE SELECTION RESPONSES GENETIC GAIN GENETIC MARKERS SELECTION INDEX |
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Genomic Estimated Expected Genetic Gain Per Trait Genomic Estimated Breeding Value BREEDING VALUE SELECTION RESPONSES GENETIC GAIN GENETIC MARKERS SELECTION INDEX Genomic Estimated Expected Genetic Gain Per Trait Genomic Estimated Breeding Value BREEDING VALUE SELECTION RESPONSES GENETIC GAIN GENETIC MARKERS SELECTION INDEX Ceron Rojas, J.J. Crossa, J. Efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants |
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The constrained linear genomic selection index (CLGSI) is a linear combination of genomic estimated breeding values useful for predicting the net genetic merit, which in turn is a linear combination of true unobservable breeding values of the traits weighted by their respective economic values. The CLGSI is the most general genomic index and allows imposing constraints on the expected genetic gain per trait to make some traits change their mean values based on a predetermined level, while the rest of them remain without restrictions. In addition, it includes the unconstrained linear genomic index as a particular case. Using two real datasets and simulated data for seven selection cycles, we compared the theoretical results of the CLGSI with the theoretical results of the constrained linear phenotypic selection index (CLPSI). The criteria used to compare CLGSI vs. CLPSI efficiency were the estimated expected genetic gain per trait values, the selection response, and the interval between selection cycles. The results indicated that because the interval between selection cycles is shorter for the CLGSI than for the CLPSI, CLGSI is more efficient than CLPSI per unit of time, but its efficiency could be lower per selection cycle. Thus, CLGSI is a good option for performing genomic selection when there are genotyped candidates for selection. |
format |
Article |
topic_facet |
Genomic Estimated Expected Genetic Gain Per Trait Genomic Estimated Breeding Value BREEDING VALUE SELECTION RESPONSES GENETIC GAIN GENETIC MARKERS SELECTION INDEX |
author |
Ceron Rojas, J.J. Crossa, J. |
author_facet |
Ceron Rojas, J.J. Crossa, J. |
author_sort |
Ceron Rojas, J.J. |
title |
Efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants |
title_short |
Efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants |
title_full |
Efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants |
title_fullStr |
Efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants |
title_full_unstemmed |
Efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants |
title_sort |
efficiency of a constrained linear genomic selection index to predict the net genetic merit in plants |
publisher |
Genetics Society of America |
publishDate |
2019 |
url |
https://hdl.handle.net/10883/20599 |
work_keys_str_mv |
AT ceronrojasjj efficiencyofaconstrainedlineargenomicselectionindextopredictthenetgeneticmeritinplants AT crossaj efficiencyofaconstrainedlineargenomicselectionindextopredictthenetgeneticmeritinplants |
_version_ |
1756086876103507968 |