المؤلفون: Alves, F. C., Granato, I. S. C., Galli, g, Lyra, D. H., Fritsche-Neto, R., De los Campos, G.

مصطلحات موضوعية: Bayesian models, Genomic prediction, Hybrid prediction, Convergent populations, Tropical maize, BGLR, Semi-parametric models, RKHS, Dominance, Epistasis, Non-additive effects, Specific combining ability, Nitrogen, Stress

وصف الملف: application/pdf

العلاقة: https://repository.rothamsted.ac.uk/download/5acb3ed909abcd2a9cb3fd6c6fa5f62c0b2a351311363527765526662099c0d0/8187769/Alves_et_al-2019-Plant_Methods.pdfTest; https://doi.org/10.1186/s13007-019-0388-xTest; Alves, F. C., Granato, I. S. C., Galli, g, Lyra, D. H., Fritsche-Neto, R. and De los Campos, G. 2019. Bayesian analysis and prediction of hybrid performance. Plant Methods. 15, p. 14. https://doi.org/10.1186/s13007-019-0388-xTest

الإتاحة: https://doi.org/10.1186/s13007-019-0388-xTest
https://repository.rothamsted.ac.uk/item/8wq2w/bayesian-analysis-and-prediction-of-hybrid-performanceTest
https://repository.rothamsted.ac.uk/download/5acb3ed909abcd2a9cb3fd6c6fa5f62c0b2a351311363527765526662099c0d0/8187769/Alves_et_al-2019-Plant_Methods.pdfTest

المؤلفون: Fritsche-Neto, R., Galli, G., Borges, K. L. R., Costa-Neto, G., Alves, F. C., Sabadin, F., Lyra, D. H., Morais, P. P. P., De Andrade, L. R. B., Granato, I., Crossa, J.

وصف الملف: application/pdf

العلاقة: https://repository.rothamsted.ac.uk/download/b0fde46ccae3eae5a3259a61bae1573f7d38954bdbf08295291d8d306dd10597/1721844/fpls-12-658267.pdfTest; https://doi.org/10.3389/fpls.2021.658267Test; Fritsche-Neto, R., Galli, G., Borges, K. L. R., Costa-Neto, G., Alves, F. C., Sabadin, F., Lyra, D. H., Morais, P. P. P., De Andrade, L. R. B., Granato, I. and Crossa, J. 2021. Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review. Frontiers in Plant Science. 12, p. 658267. https://doi.org/10.3389/fpls.2021.658267Test

الإتاحة: https://doi.org/10.3389/fpls.2021.658267Test
https://repository.rothamsted.ac.uk/item/988w8/optimizing-genomic-enabled-prediction-in-small-scale-maize-hybrid-breeding-programs-a-roadmap-reviewTest
https://repository.rothamsted.ac.uk/download/b0fde46ccae3eae5a3259a61bae1573f7d38954bdbf08295291d8d306dd10597/1721844/fpls-12-658267.pdfTest

المؤلفون: Lyra, D. H., Galli, G., Alves, F. C., Granato, I. S. C., Vidotti, M. S., Sousa, M. B., Morosini, J. S., Crossa, J., Fritsche-Neto, R.

العلاقة: https://doi.org/10.1007/s00122-018-3215-2Test; Lyra, D. H., Galli, G., Alves, F. C., Granato, I. S. C., Vidotti, M. S., Sousa, M. B., Morosini, J. S., Crossa, J. and Fritsche-Neto, R. 2019. Modeling copy number variation in the genomic prediction of maize hybrids. Theoretical and Applied Genetics. 132, pp. 273-288. https://doi.org/10.1007/s00122-018-3215-2Test

الإتاحة: https://doi.org/10.1007/s00122-018-3215-2Test
https://repository.rothamsted.ac.uk/item/8wq2q/modeling-copy-number-variation-in-the-genomic-prediction-of-maize-hybridsTest

المؤلفون: Galli, G, Lyra, D. H., Alves, F. C, Granato, I. S. C., Bandeira-Sousa, M., Fritsche-Neto, R

العلاقة: https://doi.org/10.2135/cropsci2017.07.0459Test; Galli, G, Lyra, D. H., Alves, F. C, Granato, I. S. C., Bandeira-Sousa, M. and Fritsche-Neto, R 2018. Impact of Phenotypic Correction Method and Missing Phenotypic Data on Genomic Prediction of Maize Hybrids. Crop Science. 58 (4), pp. 1481-1491. https://doi.org/10.2135/cropsci2017.07.0459Test

الإتاحة: https://doi.org/10.2135/cropsci2017.07.0459Test
https://repository.rothamsted.ac.uk/item/84892/impact-of-phenotypic-correction-method-and-missing-phenotypic-data-on-genomic-prediction-of-maize-hybridsTest