Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
In breeding, the plant net genetic merit may be predicted through the linear phenotypic selection index (LPSI). This paper associated with this dataset proposes a Bayesian LPSI (BLPSI). The supplemental files provided in this dataset include data that were used to compare the two indices as well as figures showing the results from these comparisons. The analysis revealed that the BLPSI is a good option when carrying out phenotypic selections in breeding programs.
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| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Phenotypic data biblioteca |
| Language: | English |
| Published: |
CIMMYT Research Data & Software Repository Network
2021
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| Subjects: | Agricultural Sciences, Zea mays, Agricultural research, Maize, |
| Online Access: | https://hdl.handle.net/11529/10548567 |
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