Items where Author is "Hottis-Lyra, Danilo"
Number of items: 10.
Article
Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review. (2021)
Fritsche-Neto, R., Galli, G., Borges, K. L. R., Costa-Neto, G., Alves, F. C., Sabadin, F., Hottis-Lyra, Danilo, Morais, P. P. P., De Andrade, L. R. B., Granato, I., Crossa, J.
Gene-based mapping of trehalose biosynthetic pathway genes reveals association with source- and sink-related yield traits in a spring wheat panel. (2021)
Hottis-Lyra, Danilo, Griffiths, Cara, Watson, Amy, Joynson, R., Molero, G., Igna, Alina, Hassani-Pak, Keywan, Reynolds, M. P., Hall, A., Paul, Matthew
Impact of the colonization of Leifsonia xyli subsp. xyli in a susceptible sugarcane genotype on water status and physiological traits. (2021)
Garcia, F. H. S., Da Silva Barros, T., Coelho, R. D., Laborde, M. C. F., Azevedo, R. A., Hottis-Lyra, Danilo, Kluge, R. A.
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Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform. (2020)
Hottis-Lyra, Danilo, Virlet, Nicolas, Sadeghi-Tehran, Pouria, Hassall, Kirsty, Wingen, L. U., Orford, S., Griffiths, S., Hawkesford, Malcolm, Slavov, Gancho
Additive and heterozygous (dis)advantage GWAS models reveal candidate genes involved in the genotypic variation of maize hybrids to Azospirillum brasilense. (2019)
Vidotti, M. S., Hottis-Lyra, Danilo, Morosini, J. S., Granato, I. S. C., Quecine, M. C., Azevedo, J. L., Fritsche-Neto, R.
Bayesian analysis and prediction of hybrid performance. (2019)
Alves, F. C., Granato, I. S. C., Galli, g, Hottis-Lyra, Danilo, Fritsche-Neto, R., De los Campos, G.
Modeling copy number variation in the genomic prediction of maize hybrids. (2018)
Hottis-Lyra, Danilo, Galli, G., Alves, F. C., Granato, I. S. C., Vidotti, M. S., Sousa, M. B., Morosini, J. S., Crossa, J., Fritsche-Neto, R.
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Controlling population structure in the genomic prediction of tropical maize hybrids. (2018)
Hottis-Lyra, Danilo, Granato, Morais, P. P. P., Alves, F. C., Santos, A. R. M., Yu, X., Guo, T., Yu, J., Fritsche-Neto, R.
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Impact of Phenotypic Correction Method and Missing Phenotypic Data on Genomic Prediction of Maize Hybrids. (2018)
Galli, G, Hottis-Lyra, Danilo, Alves, F. C, Granato, I. S. C., Bandeira-Sousa, M., Fritsche-Neto, R
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