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PUBLICATIONS:

  2024

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  • Agha, H. I., Endelman, J. B., Chitwood-Brown, J., Clough, M., Coombs, J., de Jong, W. S., Douches, D. S., Higgins, C. R., Holm, D. G., Novy, R., RESENDE, M. F. R., Sathuvalli, V., Thompson, A. L., Yencho, G. C., Zotarelli, L., & Shannon, L. M. (2024). Genotype-by-environment interactions and local adaptation shape selection in the US National Chip Processing Trial. Theoretical and Applied Genetics, 137(99), 1–11. https://doi.org/10.1007/s00122-024-04610-3

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  • Chang, S. J., Chowdhry, R., Song, Y., Mejia, T., Hampton, A., Kucharski, S., Sazzad, T. M., Zhang, Y., Koppal, S. J., Wilson, C. H., Gerber, S., Tillman, B., RESENDE, M. F. R., Hammond, W. M., & Zare, A. (2024). HyperPRI: A dataset of hyperspectral images for underground plant root study. Computers and Electronics in Agriculture, 225(109307), 1–18. https://doi.org/10.1101/2023.09.29.559614v

 

  • Hudson, O., RESENDE, M. F. R., Messina, C., Holland, J., & Brawner, J. (2024). Prediction of resistance, virulence, and host-by-pathogen interactions using dual-genome prediction models. Theoretical and Applied Genetics, 137(196), 1–16. https://doi.org/10.1007/s00122-024-04698-7

 

  • Park, J., Liu, R., Kim, A. S., Cyr, N. N., Boehlein, S. K., RESENDE, M. F. R., Savin, D. A., Bailey, L. S., Sumerlin, B. S., & Hudalla, G. A. (2024). Sweet corn phytoglycogen dendrimers as a lyoprotectant for dry-state protein storage. Journal of Biomedical Materials Research, 1–16. https://doi.org/10.1002/jbm.a.37761

 

  • Peixoto, M. A., Coelho, I. F., Leach, K. A., Bhering, L. L., & RESENDE, M. F. R. (2024). Simulation-based decision-making and implementation of tools in hybrid crop breeding pipelines. Crop Science, 64, 110–125. https://doi.org/10.1002/csc2.21139

 

  • Peixoto, M. A., Coelho, I. F., Leach, K. A., Lübberstedt, T., Bhering, L. L., & RESENDE, M. F. R. (2024). Use of simulation to optimize a sweet corn breeding program: implementing genomic selection and doubled haploid technology. G3: Genes, Genomes, Genetics, 14(8), 1–12. https://doi.org/10.1093/g3journal/jkae128

 

  • Peixoto, M. A., Leach, K. A., Jarquin, D., Flannery, P., Zystro, J., Tracy, W. F., Bhering, L., & RESENDE, M. F. R. (2024). Utilizing genomic prediction to boost hybrid performance in a sweet corn breeding program. Frontiers in Plant Science, 15(1293307), 1–16. https://doi.org/10.3389/fpls.2024.1293307

 

  • Pereira, F. de C., Ramalho, M. A. P., RESENDE, M. F. R., & von Pinho, R. G. (2022). Mega-environment analysis of maize breeding data from brazil. Scientia Agricola, 79(2). https://doi.org/10.1590/1678-992x-2020-0314

 

  • Song, Y., Sapes, G., Chang, S., Chowdhry, R., Mejia, T., Hampton, A., Kucharski, S., Sazzad, T. M. S., Zhang, Y., Tillman, B. L., RESENDE, M. F. R., Koppal, S., Wilson, C., Gerber, S., Zare, A., & Hammond, W. M. (2024). Hyperspectral signals in the soil: Plant–soil hydraulic connection and disequilibrium as mechanisms of drought tolerance and rapid recovery. Plant Cell and Environment, 1–17. https://doi.org/10.1111/pce.15011

 

  • Treadwell, D. D., Zotarelli, L., Dittmar, P. J., Williamson, J. G., RESENDE, M. F. R., Martin-Ryals, A. D., Messina, C., Gunter, C. C., Hanson, A. D., & Michaux, S. P. (2024). Transitioning away from fossil fuels will drive repositioning of horticulture. HortScience, 59(5), 561–564. https://doi.org/10.21273/HORTSCI17724-24

 

  • Yactayo-Chang, J. P., Broadhead, G. T., Housler, R. J., RESENDE, M. F. R., Verma, K., Louis, J., Basset, G. J., Beck, J. J., & Block, A. K. (2024). Maize terpene synthase 1 impacts insect behavior via the production of monoterpene volatiles β-myrcene and linalool. Phytochemistry, 218(113957). https://doi.org/10.1016/j.phytochem.2023.113957

 

  • Yu, P., Li, C., Li, M., He, X., Wang, D., Li, H., Marcon, C., Li, Y., Perez-Limón, S., Chen, X., Delgado-Baquerizo, M., Koller, R., Metzner, R., van Dusschoten, D., Pflugfelder, D., Borisjuk, L., Plutenko, I., Mahon, A., RESENDE, M. F. R., … Hochholdinger, F. (2024). Seedling root system adaptation to water availability during maize domestication and global expansion. Nature Genetics, 56, 1245–1256. https://doi.org/10.1038/s41588-024-01761-3

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  2023

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  • Boehlein, S. K., Pfister, B., Hennen-Bierwagen, T. A., Liu, C., Ritter, M., Curtis Hannah, L., Zeeman, S. C., RESENDE, M. F. R., & Myers, A. M. (2023). Soluble and insoluble α-glucan synthesis in yeast by enzyme suites derived exclusively from maize endosperm. Plant Physiology, 193(2), 1456–1478. https://doi.org/10.1093/plphys/kiad358

 

  • Carvalho, H. F., Ferrão, L. F. V., Galli, G., Nonato, J. V. A., Padilha, L., Maluf, M. P., RESENDE, M. F. R., Fritsche-Neto, R., & Guerreiro-Filho, O. (2023). On the accuracy of threshold genomic prediction models for leaf miner and leaf rust resistance in arabica coffee. Tree Genetics and Genomes, 19(11), 1–10. https://doi.org/10.1007/s11295-022-01581-8

 

  • Ferrão, L. F. v., Dhakal, R., Dias, R., Tieman, D., Whitaker, V., Gore, M. A., Messina, C., & RESENDE, M. F. R. (2023). Machine learning applications to improve flavor and nutritional content of horticultural crops through breeding and genetics. Current Opinion in Biotechnology, 83(102968), 1–8. https://doi.org/10.1016/j.copbio.2023.102968

 

  • Treadwell, D. D., Zotarelli, L., Dittmar, P. J., Williamson, J. G., RESENDE, M. F. R., Martin-Ryals, A. D., Messina, C., Gunter, C. C., Hanson, A. D., & Michaux, S. P. (2024). Transitioning away from fossil fuels will drive repositioning of horticulture. HortScience, 59(5), 561–564. https://doi.org/10.21273/HORTSCI17724-24

 

  • Martins, V. S., Andrade, M. H. M. L., Padua, L. N., Miguel, L. A., Fernandes Filho, C. C., Guedes, M. L., Nunes, J. A. R., Hoffmann, L. J., Zotarelli, L., RESENDE, M. F. R. de, Carneiro, P. C. S., & Marçal, T. de S. (2023). Evaluating the impact of modeling the family effect for clonal selection in potato-breeding programs. Frontiers in Plant Science, 14(1253706), 1–15. https://doi.org/10.3389/fpls.2023.1253706

 

  • Pereira, F. de C., Ramalho, M. A. P., RESENDE, M. F. R., & Pinho, R. G. von. (2022). Mega-environment analysis of maize breeding data from brazil. Scientia Agricola, 79(2): e20200314. https://doi.org/10.1590/1678-992x-2020-0314

 

  2022

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  • Anderson, J. D., Vidal, R. F., Brym, M., Stafne, E. T., RESENDE, M. F. R., Viana, A. P., & Chambers, A. H. (2022). Genotyping-by-sequencing of passion fruit (Passiflora spp.) generates genomic resources for breeding and systematics. Genetic Resources and Crop Evolution, 69(8), 2769–2786. https://doi.org/10.1007/s10722-022-01397-4

 

  • Colantonio, V., Ferrão, L. F. v., Tieman, D. M., Bliznyuk, N., Sims, C., Klee, H. J., Munoz, P., & RESENDE, M. F. R. (2022). Metabolomic selection for enhanced fruit flavor. PNAS, 119: e2115865119. https://doi.org/10.1073/pnas.2115865119

 

  • Finegan, C., Boehlein, S. K., Leach, K. A., Madrid, G., Hannah, L. C., Koch, K. E., Tracy, W. F., & RESENDE, M. F. R. (2022). Genetic perturbation of the starch biosynthesis in maize endosperm reveals sugar-responsive gene networks. Frontiers in Plant Science, 12(800326), 1–16. https://doi.org/10.3389/fpls.2021.800326

 

  • Gonzalez, J. M., Ghosh, N., Colantonio, V., Pereira, F. de C., Pinto, R. A., Wasson, C., Leach, K. A., & RESENDE, M. F. R. (2022). EarCV: An open-source, computer vision package for maize ear phenotyping. Plant Phenome Journal, 5, e20055. https://doi.org/10.1002/ppj2.20055

 

  • Jafarikouhini, N., Sinclair, T. R., & RESENDE, M. F. (2022a). Comparison of water flow capacity in leaves among sweet corn genotypes as basis for plant transpiration rate sensitivity to vapor pressure deficit. Crop Science, 62(2), 906–912. https://doi.org/10.1002/csc2.20711

 

  • Jafarikouhini, N., Sinclair, T. R., & RESENDE, M. F. R. (2022b). Limited-transpiration rate and plant conductance in a diverse sweet corn population. Crop Science, 62, 374–381. https://doi.org/10.1002/csc2.20664

 

  • Luisa, A., Azevedo, S., Rangel De Souza, F., Campos, R. A., Ribeiro De Lima Reis, D., Machado, J. C., Machado, M. A., José, F., Lédo, S., & RESENDE, M. F. R. (2022). Development of microsatellite panels for molecular fingerprinting of Napier grass (Cenchrus purpureus) cultivars. Crop Breeding and Applied Biotechnology, 22(4), e42522244. https://doi.org/10.1590/1984

 

  • Murad Leite Andrade, M. H., Acharya, J. P., Benevenuto, J., de Bem Oliveira, I., Lopez, Y., Munoz, P., RESENDE, M. F. R., & Rios, E. F. (2022). Genomic prediction for canopy height and dry matter yield in alfalfa using family bulks. Plant Genome, 15, e20235. https://doi.org/10.1002/tpg2.20235

 

  • Pereira, F. de C., Ramalho, M. A. P., RESENDE, M. F. R., & Pinho, R. G. von. (2022). Mega-environment analysis of maize breeding data from brazil. Scientia Agricola, 79(2). https://doi.org/10.1590/1678-992x-2020-0314

 

  • Santos, M. de L., Resende, M. L. V. de, Alves, G. S. C., Huguet-Tapia, J. C., RESENDE, M. F. R., & Brawner, J. T. (2022). Genome-wide identification, characterization, and comparative analysis of NLR resistance genes in Coffea spp. Frontiers in Plant Science, 13(868581), 1–16. https://doi.org/10.3389/fpls.2022.868581

 

  • Yactayo-Chang, J. P., Boehlein, S., Beiriger, R. L., RESENDE Jr., M. F. R., Bruton, R. G., Alborn, H. T., Romero, M., Tracy, W. F., & Block, A. K. (2022). The impact of post-harvest storage on sweet corn aroma. Phytochemistry Letters, 52, 33–39. https://doi.org/10.1016/j.phytol.2022.09.001

 
  2021

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  • Chambers, A., Cibrián-Jaramillo, Karremans, A. P., Martinez, D. M., Hernandez-Hernandez, J., Brym, M., RESENDE, M. F. R., Moloney, R., Sierra, S. N., Alomia, Y. A., Hu, Y., & Vanilla Genotyping Consortium. (2021). Genotyping-by-sequencing diversity analysis of international Vanilla collections uncovers hidden diversity and enables plant improvement. Plant Science, 311(111019), 1–11. https://doi.org/10.1016/j.plantsci.2021.111019

 

  • Fan, Z., Hasing, T., Johnson, T. S., Garner, D. M., Barbey, C. R., Colquhoun, T. A., Sims, C. A., RESENDE, M. F. R., & Whitaker, V. M. (2021). Strawberry sweetness and consumer preference are enhanced by specific volatile compounds. Horticulture Research, 8(66), 1–15. https://doi.org/10.1038/s41438-021-00502-5

 

  • Hu, Y., Colantonio, V., Müller, B. S. F., Leach, K. A., Nanni, A., Finegan, C., Wang, B., Baseggio, M., Newton, C. J., Juhl, E. M., Hislop, L., Gonzalez, J. M., Rios, E. F., Hannah, L. C., Swarts, K., Gore, M. A., Hennen-Bierwagen, T. A., Myers, A. M., Settles, A. M., … RESENDE, M. F. R. (2021). Genome assembly and population genomic analysis provide insights into the evolution of modern sweet corn. Nature Communications, 12(1227), 1–13. https://doi.org/10.1038/s41467-021-21380-4

 

  • Kreutz, G., Bhadha, J., Liu, G., RESENDE, M. F. R., Wright, A., Odero, D. C., & Sandoya, G. (2021). Strategies for improving phosphorus use efficiency in lettuce grown on histosols. EDIS, HS1423. https://doi.org/10.32473/edis-hs1423-2021

 

  • Rios, E. F., Andrade, M. H. M. L., RESENDE, M. F. R., Kirst, M., de Resende, M. D. V., de Almeida Filho, J. E., Gezan, S. A., & Munoz, P. (2021). Genomic prediction in family bulks using different traits and cross-validations in pine. G3: Genes, Genomes, Genetics, 11(9), 1–12. https://doi.org/10.1093/g3journal/jkab249

 

 

  2020

 

  • Acharya, J. P., Lopez, Y., Gouveia, B. T., de Bem Oliveira, I., RESENDE, M. F. R., Muñoz, P. R., & Rios, E. F. (2020). Breeding alfalfa (medicago sativa l.) adapted to subtropical agroecosystems. Agronomy, 10(742), 1–13. https://doi.org/10.3390/agronomy10050742

 

  • Alves, F. C., Balmant, K. M., RESENDE, M. F. R., Kirst, M., & de los Campos, G. (2020). Accelerating forest tree breeding by integrating genomic selection and greenhouse phenotyping. Plant Genome, 13, e20048. https://doi.org/10.1002/tpg2.20048

 

  • Balmant, K. M., Noble, J. D., Alves, F. C., Dervinis, C., Conde, D., Schmidt, H. W., Vazquez, A. I., Barbazuk, W. B., de Los Campos, G., RESENDE, M. F. R., & Kirst, M. (2020). Xylem systems genetics analysis reveals a key regulator of lignin biosynthesis in Populus deltoides. Genome Research, 30(8), 1131–1143. https://doi.org/10.1101/gr.261438.120

 

  • Oliveira, A. A., RESENDE, M. F. R., Ferrão, L. F. V., Amadeu, R. R., Guimarães, L. J. M., Guimarães, C. T., Pastina, M. M., & Margarido, G. R. A. (2020). Genomic prediction applied to multiple traits and environments in second season maize hybrids. Heredity, 125, 60–72. https://doi.org/10.1038/s41437-020-0321-0

 

  • Fanelli Carvalho, H., Galli, G., Ventorim Ferrão, L. F., Vieira Almeida Nonato, J., Padilha, L., Perez Maluf, M., RESENDE, M. F. R., Guerreiro Filho, O., & Fritsche-Neto, R. (2020). The effect of bienniality on genomic prediction of yield in arabica coffee. Euphytica, 216(101), 1–16. https://doi.org/10.1007/s10681-020-02641-7

 

  • Ferrão, L. F. v., Marinho, C. D., Munoz, P. R., & RESENDE, M. F. R. (2020). Improvement of predictive ability in maize hybrids by including dominance effects and marker × environment models. Crop Science, 60(2), 666–677. https://doi.org/10.1002/csc2.20096

 

 

  • Liu, R., Boehlein, S. K., Tracy, W. F., RESENDE, M. F. R., & Hudalla, G. A. (2020). Characterizing the physical properties and cell compatibility of phytoglycogen extracted from different sweet corn varieties. Molecules, 25(637), 1–15. https://doi.org/10.3390/molecules25030637

 

  • Mussoline, W., Gonzalez, J., Christensen, C., & RESENDE, M. F. R. (2020). Harvest yields for sweet corn variety trial in northeast Florida. Proceedings of the Florida State Horticultural Society, 113, 116–119.

 

  • Noble, J. D., Balmant, K. M., Dervinis, C., de los Campos, G., RESENDE, M. F. R., Kirst, M., & Barbazuk, W. B. (2020). The genetic regulation of alternative splicing in Populus deltoides. Frontiers in Plant Science, 11(590), 1–14. https://doi.org/10.3389/fpls.2020.00590

 

  • Zhang, J., Müller, B. S. F., Tyre, K. N., Hersh, H. L., Bai, F., Hu, Y., RESENDE, M. F. R., Rathinasabapathi, B., & Settles, A. M. (2020). Competitive growth assay of mutagenized Chlamydomonas reinhardtii compatible with the International Space Station Veggie Plant Growth Chamber. Frontiers in Plant Science, 11(631), 1–14. https://doi.org/10.3389/fpls.2020.00631

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  2019​​

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  • Benevenuto, J., Bhakta, M., Lohr, D.A. RESENDE M.F.R., et al. Cost-effective detection of genome-wide signatures for 2,4-D herbicide resistance adaptation in red clover. Scientific Reports 9, 20037, 2019.

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  • Hu, Y. (P), RESENDE M.F.R., Bombarely, A., Brym, M., Bassil, E., Chambers A. - Genomics-based diversity analysis of Vanilla species using a Vanilla planifolia draft genome and Genotyping-By-Sequencing. Scientific Reports, 9:3416. 2019

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  • Telfer E, Graham N, Macdonald L, Li Y, Klapstě J, RESENDE M.F.R., et al. A high density exome capture genotype-by-sequencing panel for forestry breeding in Pinus radiata. PLoS ONE 14(9), 2019.

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  • De Bem, I.O., RESENDE M.F.R., Ferrão L.F., Amadeu R., Endelman J., Kirst M., Coelho A.S.G., Munoz, P. Genomic prediction of autotetraploids; influence of relationship matrices, allele dosage, and continuous genotyping calls in phenotype prediction. G3: Genes, Genomes, Genetics 9 (4), 1189-1198, 2019

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  • Filho J.A. (g), Rodrigues, J.F.G. (g), Silva, F.F., Resende, M.D.V., Munoz, P., Kirst, M., RESENDE M.F.R., Genomic prediction of additive and non-additive effects using genetic markers and pedigrees. G3: Genes, Genomes, Genetics 9(8), 2739-2748, 2019.

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  • Acosta J.J., Fahrenkrog A.M., Neves L.G., RESENDE M.F.R, Dervinis C., Holliday J.A., Kirst, M. The genome-wide genetic diversity and evolutionary history of the conifers Pinus taeda and Pinus elliottii. Genome Biology and Evolution, evz016 - 2019.

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  2018​

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  • Ferrão L.F.V, Marinho C., Munoz P., RESENDE M.F.R., Integration of Dominance and Marker x Environment Interactions into Maize Genomic Prediction Models. bioRxiv, 2018

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  • Moraes B.F.X, Santos R. F., Lima B.M., Aguiar A.M., Missiaggia A.A., Dias D.C., Rezende G.D.P.S, Gonçalves F.M.A, Acosta J.J., Kirst M., RESENDE M.F.R., Munoz P. Genomic selection prediction models comparing sequence capture and SNP-array genotyping methods. Mol Breeding 38:115. 2018

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  • Inostroza L., Bhakta M., Acuña H., Vasquez C., Ibañez J., Tapia G., Mei W., Kirst M., RESENDE M.F.R., Munoz P. Understanding the complexity of cold tolerance in white clover using temperature gradient locations and a GWAS approach. The Plant Genome, 2018

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  • Ferrao L.F.V., Benevenuto J., de Bem I.O., Cellon C., Olmstead J., Kirst M., RESENDE M.F.R., Munoz PM. Insights into the genetic basis of blueberry fruit-related traits using diploid and polyploid models in a GWAS context. Front. Ecol. Evol., 24 July 2018 

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  2017​

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  • Sousa T.V., Caixeta E.T., Alkimim E.R., Oliveira A.C.B., Pereira A.A., Sakiyama N.S., RESENDE M.F.R., Zambolim L. Population structure and genetic diversity of coffee progenies derived from Catuaí and Híbrido de Timor revealed by genome-wide SNP marker. Tree Genetics and Genomics 13:124. 2017

 

  • Fahrenkrog A.M., Neves L.G., RESENDE M.F.R, Dervinis C., Davenport R., Barbazuk W.B., Kirst, M.Population genomics of the eastern cottonwood (Populus deltoides). Ecology and Evolution. 7:9426–9440. 2017

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  • Muller, B., Neves, L.G., Filho, J.A., RESENDE M.F.R., Munoz, P., Santos, P.E.T., Filho, E.P., Kirst, M., Grattapaglia, D. Genomic prediction of growth traits in breeding populations of Eucalyptus benthamii and E. pellita and a contrast to genome-wide association in explaining heritable variation. BMC genomics 18 (1), 524. 2017

 

  • Tieman, D.M., Zhu, G., RESENDE M.F.R., Nguyen, C., Bies, D., Rambla, J.L., Beltran, K.S.O, Taylor, M., Zhang, B., Ikeda, H., Liu, Z., Fisher, J., Monforte, A., Zamir, D., Granell, A., Kirst, M., Huang, S., Klee, H.J. A genetic roadmap to improved tomato flavor. Science 355 (6323), 391-394. 2017

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  • Fahrenkrog, A.M., Neves, L.G., RESENDE M.F.R., Vazquez, A.I., de los Campos, G., Dervinis, C., Sykes, R., Davis, M., Davenport, R., Barbazuk, W., Kirst, M. Genome‐wide association study reveals putative regulators of bioenergy traits in Populus deltoides. DOI: 10.1111/nph.14154. New Phytologist, 2017.

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  2016​

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  • Azevedo, C.F., Resende, M.D.V., Silva, F.F., Viana, J.M.S., Valente, M.S.F., RESENDE M.F.R., New estimators for the experimental accuracy of genomic selection. DOI: 10.4238/gmr.15048838, Genetics and Molecular Research, 2016

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  • Filho J.A., Rodrigues, J.F.G., Silva, F.F., Resende, M.D.V., Munoz, P., Kirst, M., RESENDE M.F.R., The contribution of dominance to phenotype prediction in pine breeding and simulated population. DOI: 10.1038/hdy.2016.23, Heredity, 2016.

 

  • Amadeu, R., Cellon, C., Olmstead J., Garcia, A., RESENDE M.F.R., Munoz, P. AGHmatrix: R package to construct relationship matrices for autotetraploid and diploid species, a Blueberry Example. DOI: 103835/plantgenome2016.01.0009. The Plant Genome, 2016.

 

  • Song, J., Yang, X., RESENDE M.F.R., Neves, L.G., Todd, J., Zhang, J., Comstock, J., Wang, J. Natural allelic variation in the germplasm of highly polyploid sugarcane. DOI: 10.3389/fpls.2016.00804. Frontiers in Plant Science, 2016.

 

  • Vazquez, A., Veturi, Y., Behring, M., Shrestha, S., Kirst, M., RESENDE M.F.R., de los Campos, G. Increased Proportion of Variance Explained and Prediction Accuracy of Survival of Breast Cancer Patients with use of Whole-Genome Multi-Omic Profiles. DOI: 10.1534/genetics.115.185181, Genetics, 2016.

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  2015​

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  • Raposo F.A., Neves L.G., RESENDE M.F.R., Mobili F., Miyaki C.Y., Pellegrino K.C.M., Biondo C. Ultraconserved elements sequencing as a low-cost source of complete mitochondrial genomes and microsatellite markers in non-model amniotes. PLoS ONE 10: e0138446, 2015.

 

  • Azevedo C.F., Resende M.D.V., Silva F.F., Viana J.M.S., Ferreira M.S.V., RESENDE M.F.R., Munoz P. Ridge, Lasso and Bayessian Additive-Dominance Genomic Models. BMC Genetics,16:105, 2015.

 

  • Westbrook J.W., Walker A.R., Neves L.G., Munoz P., RESENDE M.F.R., Peter G.F., Davis J. Discovering genes that regulate resin canal number in Pinus stems by integrating association genetics and QTL analysis across environments, ages, and populations. New Phytologist, 205(2): 627-641, 2015.

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  2014

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  • Munoz P.*, RESENDE M.F.R.*; Gezan S. A., Resende M.D.V., de los Campos G., Kirst M., Huber D, Peter G.F. Unraveling Additive from Non-additive Effects using Genomic Relationship Matrices. Genetics, 198: 1759-1768, 2014. *Both authors contributed equally to this paper.

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  • Quesada T., RESENDE M.F.R., Munoz P., Wegrzyn J.L., Neale D.B., Kirst M., Peter G.F., Gezan S.A., Nelson C.D., Davis J.M. Mapping fusiform rust resistance genes within a complex mating design of loblolly pine. Forests, 5:347-362, 2014.

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  • Munoz P.R., RESENDE M.F.R., Huber D.A., Quesada T., Resende M.D.V., Neale D.B., Wegrzyn J.L., Kirst M., Peter G.F. Genomic relationship matrix for correcting pedigree errors in breeding populations: impact on genetic parameters and genomic selection accuracy. Crop Science, 54:1115–1123, 2014.

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  2007-2013​

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  • Westbrook J.W., RESENDE M.F.R., Munoz P., Walker A.R., Wegrzyn J.L., Nelson C.D., Neale D.B. et al. Association genetics of oleoresin flow in loblolly pine: discovering genes and predicting phenotype for improved resistance to bark beetles and bioenergy potential. New Phytologist, 199: 89–100, 2013.

 

  • RESENDE M.F.R., Munoz P., Resende M.D.V., Garrick D.J., Fernando R.L., Davis J.M., Jokela E.J., Martin T.A., Peter G.F., Kirst M. Accuracy of genomic selection methods in a standard data set of loblolly pine (Pinus taeda L.). Genetics, 190: 1503–1510, 2012.

 

  • RESENDE M.F.R., Munoz P., Acosta J.J., Peter G.F., Davis J.M., Grattapaglia D., Resende M.D.V., Kirst M. Accelerating the domestication of trees using genomic selection: accuracy of prediction models across ages and environments. New Phytologist, 193: 617–624, 2012.

 

  • Resende M.D.V., RESENDE M.F.R., Sansaloni C.P., Petroli C.D., Missiaggia A.A., Aguiar A.M., Abad J.M., Takahashi E.K., Rosado A.M., Faria D.A. et al. Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees. New Phytologist, 194: 116–128, 2012.

 

  • Resende M.D.V., Silva F.F., Viana J.M.S., Peternelli L.A., RESENDE M.F.R., Munoz P. Statistical methods in genome-wide selection (Original in Portuguese: “Metodos estatísticos na selecao genomica ampla”). Embrapa Documents 219. Brazil. ISSN 1980-3958, 2011.

 

  • Resende M.D.V., RESENDE M.F.R., Aguiar A.M., Abad J.I.M., Missiaggia, A.A., Sansaloni C., Petroli C., Grattapaglia D. Computation of genomic selection algorithms. (Original in Portuguese: “Computação da seleção genômica ampla”). Embrapa Documents 210. Brazil. ISSN 1679-2599, 2010.

 

  • Rosado T.B., Tomaz R.S., RESENDE M.F.R.; Rosado A.M., Araujo E.F., Alfenas A.C., Cruz C.D. Detection of QTL associated to rust resistance using IBD-based methodologies in exogamic Eucalyptus populations. Crop Breeding and Applied Biotechnology, 10: 321-328, 2010.

 

  • Rosado A.M., Rosado T.B., RESENDE M.F.R., Cruz C.D. Predicted genetic gains by different selection methods in Eucalyptus urophylla progenies. Brazilian Journal of Agricultural Research, v. 44, 12: 1653-1659, 2009.

 

  •  Bhering, L.L., Cruz, C.D., Vasconcelos E.S., RESENDE M.F.R., Barros, W.S., Rosado, T.B. Efficiency of the multilocus analysis for the construction of genetic maps. Crop Breeding and Applied Biotechnology, v.9, p 308-312, 2009

 

  • Bhering L.L., Cruz C.D., Vasconcelos E.S., Ferreira A., RESENDE M.F.R.  Alternative Methodology for the Scott Knot test. Crop Breeding and Applied Biotechnology, v. 8, p 9-16, 2008.

 

  • Ferreira A., Cruz C.D., Vasconcelos E. S., Nascimento M., RESENDE M.F.R., Silva M. Use of the non parametric bootstrap in evaluating the genotypic, phenotypic and environmental correlations. Acta Scientiarum. Agronomy, v. 30, p. 657-663, 2008.

 

  • Vasconcelos, E.S., Cruz, C.D., Bhering, L.L., RESENDE M.F.R. Alternative methodology for the cluster analysis. Pesquisa Agropecuária Brasileira. V.42, p1421-1428, 2007

 

  • Mafia R.G, Alfenas A.C., RESENDE M.F.R. Damping-off of Forest species caused by Sclerotium rolfsii Sacc. Brazilian Journal of Forest Sciences v.31, n.4, p. 629 - 634, 2007.

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