Modeling the variance-covariance matrix of genetic and residual effects in a Panicum maximum genome wide selection experiment.
Panicum maximum stands out among the tropical forage species due to its high biomass yield and excellent nutritional quality, providing high animal performance. The improvement of sexual plant population of P. maximum by recurrent selection increases the probability of releasing superior cultivars. In this work, we aimed to model variance-covariance matrices for genetic (G) and residual (R) effects in a spaced plant experiment to obtain adjusted means that will be used in a recurrent genomic selection program.
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Anais e Proceedings de eventos biblioteca |
| Language: | English eng |
| Published: |
2017-03-06
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| Subjects: | Mixed models, Phenotypic data., forage, plant breeding., |
| Online Access: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066188 |
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| Summary: | Panicum maximum stands out among the tropical forage species due to its high biomass yield and excellent nutritional quality, providing high animal performance. The improvement of sexual plant population of P. maximum by recurrent selection increases the probability of releasing superior cultivars. In this work, we aimed to model variance-covariance matrices for genetic (G) and residual (R) effects in a spaced plant experiment to obtain adjusted means that will be used in a recurrent genomic selection program. |
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