Danilo Lyra

Danilo Lyra

Crop Quantitative Geneticist - Research Scientist

Publications

QUANTITATIVE INDICES

WHEAT BREEDING MANUSCRIPTS (†Corresponding author)

  1. Lyra, D.H. †, Virlet, N., Sadeghi-Tehran, P., Hassall, K.L., Wingen, L.U., Orford, S., Griffiths, S., Hawkesford, M.J., Slavov, G.T. (2020). Functional QTL mapping and genomic prediction of canopy height in wheat measured using a robotic field phenotyping platform. Journal of Experimental Botany, 71(6), 1885-1898.

  2. Lyra, D.H, Griffiths, C.A., Watson, A., Igna, A., Hassani-Pak, K., Molero, G., Reynolds, M., Johnson, R. Hall, A., Paul, M.J. (2021). Gene-based mapping of trehalose biosynthetic pathway genes reveals association with yield-related traits in a spring wheat panel. Food and Energy Security, 10(3), e292.

MAIZE BREEDING MANUSCRIPTS (†Corresponding author)

  1. Fritsche-Neto, R., Galli, G., Borges, K.L.R., Costa-Neto, G., Alves, F.C., Sabadin, F., Lyra, D.H., Morais, P.P.P., Andrade, L.R., Granato, I. Crossa, J. (2021). Optimizing genomic-enabled prediction in small-scale maize hybrid breeding programs: a roadmap review. Frontiers in Plant Science, 12.

  2. Moraes, P.P.P., Akdemir, D., Jannink, J.L., Fritsche-Neto, R., Borem, A., Andrade, L.R. B., Alves, F.C., Lyra, D.H., Granato, I.S.C. (2020). Using public databases for genomic prediction of tropical maize lines. Plant Breeding, 1:1-11.

  3. 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. (2019). Modeling copy number variation in the genomic prediction of maize hybrids. Theoretical and Applied Genetics, 132: 273-288.

  4. Vidotti, M. S., Lyra, D. H., Morosini, J. S., Granato, Í. S. C., Quecine, M. C., de Azevedo, J. L., & Fritsche-Neto, R. (2019). Additive and heterozygous (dis) advantage GWAS models reveal candidate genes involved in the genotypic variation of maize hybrids to Azospirillum brasilense. PloS One, 14(9).

  5. Sousa, M.B., Galli, G., Lyra, D.H., Granato, I.S.C., Matias, F.I., Alves, F.C., Fritsche-Neto, R. (2019). Increasing accuracy and reducing costs of genomic prediction by marker selection. Euphytica, 215.

  6. Alves, F.C., Granato, I.S.C., Galli, G., Lyra, D.H., Fritsche-Neto, R., de los Campos, G. (2019). Bayesian analysis and prediction of hybrid performance. Plant Methods, 15:14.

  7. Lyra, D.H. †, Granato, I.S.C., Morais, P.P.P., Alves, F.C., dos Santos, A.R.M., Yu, X., Guo, T., Yu, J., Fritsche-Neto, R. (2018). Controlling population structure in the genomic prediction of tropical maize hybrids. Molecular Breeding, 38: 126.

  8. Galli, G., Lyra, D.H., Alves, F.C., Granato, I.S.C., Sousa, M.B., Fritsche-Neto, R. (2018). Impact of phenotypic correction method and missing phenotypic data on genomic prediction of maize hybrids. Crop Science, 1: 1481-1491.

  9. Lyra, D.H. †, Mendonça, L.F., Galli, G., Alves, F.C., Granato, I.S.C., Fritsche-Neto, R. (2017). Multi-trait genomic prediction for nitrogen response indices in tropical maize hybrids. Molecular Breeding, 37: 1-14.

  10. Morosini, J.S., Mendonça, L.F., Lyra, D.H., Galli, G., Vidotti, M.S., Fritsche-Neto, R (2017). Association mapping for traits related to nitrogen use efficiency in tropical maize lines under field conditions. Plant and Soil, 421: 453-463.

PAPERS PUT ON HOLD

POTATO BREEDING MANUSCRIPTS

  1. Carneiro, O.L.G., Ribeiro, S.R.R.P., Moreira, C.M., Guedes, M.L., Lyra, D.H., Pinto, C.A. B.P. (2017). Introgression of the Rl adg allele of resistance to potato leafroll virus in Solanum tuberosum L. Crop Breeding and Applied Biotechnology, 17(3): 242-249.

  2. Guedes, M. L., Pinto, C. A. B. P., Ribeiro, G. H. M. R., Lyra, D. H., & Carneiro, O. L. G. (2016). Combining abilities for agronomic traits and marker-assisted selection for Potato virus X and Potato virus Y resistance. Genetics and molecular research, 15(3).

  3. Lyra, D.H., Ribeiro, G.H.M.R., Figueiredo, I.C.R.D., Guedes, M.L., Carneiro, O.L.G., Pinto, C.A.B.P., Pereira, A.D.S. (2015). Tuber initiation, duration of the vegetative cycle and heat tolerance in potato genotypes. Brazilian Journal of Agricultural Research, 50(7): 582-592. [Portuguese version].

  4. Figueiredo, I.C.R.D., Pinto, C.A.B.P., Ribeiro, G.H.M.R., Lino, L.D.O., Lyra, D.H., & Moreira, C.M. (2015). Efficiency of selection in early generations of potato families with a view toward heat tolerance. Crop Breeding and Applied Biotechnology, 15(4), 210-217.

  5. Ribeiro, G. H. M. R., Pinto, C. A. B. P., Figueiredo, I. C. R., Moreira, C. M., Lyra, D. H. (2014). Selection of families for tubers appearance and tolerance to elevated temperatures in potato. Bragantia, 73(4), 390-398.

MEDICINAL & AROMATIC BREEDING MANUSCRIPTS

  1. LYRA, D.H.; ALMEIDA, L.A.H. ; BRASILEIRO, B.P. ; AMARAL, C.L.F. Overcoming physical dormancy in seeds of Jatropha mollissima (Pohl) Baill. (Euphorbiaceae) in the semiarid region of Brazil. Revista Magistra, 26, 206-212, 2014.

  2. BRASILEIRO, B.P. ; SILVA, S.A. ; SOUZA, D.R. ; SANTOS, P.A. ; OLIVEIRA, R.S. ; LYRA, D.H. Genetic diversity and selection gain in physic nut. Genetics and Molecular Research, 12, 1-12, 2013.

  3. LYRA, D.H.; SAMPAIO, L.S. ; PEREIRA, D.A. ; AMARAL, C.L.F. Pollen viability and germination in Jatropha ribifolia and Jatropha mollissima (Euphorbiaceae): Species with potential for biofuel production. African Journal of Biotechnology, 10, 368-374, 2011.

KEY RELEVANT BOOKS & CHAPTERS

  1. Virlet, N., Lyra, D.H., Hawkesford, M.J (2022). Digital phenotyping and genotype-to-phenotype (G2P) models to predict complex traits in cereal crops. In: Advances in plant phenotyping for more sustainable crop production (1 Ed.). Editor: Achim Walter (ETH Zürich). Burleigh Dodds Science Publishing.

  2. Morosini, J.S., Lyra, D.H., Mendonca, L.F., Vidotti, M.S., Galli, G., Sant’ana, G.S., Sabadin, J.F., Fritsche-Neto, R. (2020). Breeding for nitrogen use efficiency. Borem, A., Fritsche-Neto, R. (ed). In: Plant Breeding for Abiotic Stress Tolerance (2 ed). To be published soon, link 1 ed.

  3. Lyra, D.H., Amaral, C.L.F. (2017). Medicinal plant breeding - from phenotypic selection to genomic prediction. In: Medicinal Plants: Production, Cultivation and Uses (1 Ed.). Hauppauge: Nova Science Publishers, Inc.

  4. Lyra, D.H., Brasileiro, B.P., Almeida, L.A.H. (2012). Jatropha L.: genetic resources & crop breeding - focus on biodiesel production in Brazil. 1ªed. Saarbrücken, Germany: LAP-Lambert Academic Publishing / AV Akademikerverlag GmbH & Co. KG. 156p.