Juan Jose Acosta Jaramillo

Extraction of genetic test measurements from LiDAR cloud data

Cavalheiro, R., Molina-Valero, J. A., Hodge, G., Howell, T., & Acosta, J. J. (2026, February 5). Journal of Forestry Research.

Genome-wide SNP-based relationships improve genetic parameter estimates and genomic prediction of growth traits in a large operational breeding trials of Pinus taeda L.

Tambarussi, E. V., Shalizi, M. N., Grattapaglia, D., Hodge, G., Isik, F., Paludeto, J. G. Z., … Acosta, J. J. (2025, February 6). Forestry An International Journal of Forest Research, Vol. 2.

Multi-country pine species allocation under different climate scenarios

Cavalheiro, R., Vatsavai, R. R., Hodge, G., & Acosta, J. J. (2025, September 9). Ecological Modelling, Vol. 9.

Multi-trait selection in a Pinus pinaster Aiton breeding program: developing a selection index dealing with genotype by environment interaction in volume

Torres-Sánchez, E., Acosta, J. J., Hodge, G. R., Prada, E., Menéndez-Gutiérrez, M., & Díaz, R. (2025, August 20). Forestry An International Journal of Forest Research, Vol. 9.

Pollination and mating dynamics unveiled by orchard-wide pedigree reconstruction in Acacia crassicarpa

Martins, G., Yuliarto, M., Melia, T., Lakey, N., Ordway, J., Tambarussi, E. V., … Hodge, G. (2025, February 18). Tree Genetics & Genomes, Vol. 21.

Estimation of Additive and Dominance Effects in an Acacia crassicarpa Multi-Environment Progeny Trial Using Genomic Pedigree Reconstruction

Martins, G. S., Yuliarto, M., Yong, W. C., Melia, T., Maretha, M. V., Sharma, M., … Hodge, G. (2024, February 10). Forest Science, Vol. 2.

Quantitative genetics and breeding strategies in hybrid populations of Pinus patula × Pinus tecunumanii

Ibarra, L., Hodge, G., & Acosta, J. J. (2024, October 1). Southern Forests a Journal of Forest Science, Vol. 86, pp. 186–203.

Removing Friction and Bark Improves Drill Resistance Data for Selection on Wood Density in Pinus taeda Plantations

Trachta, M. A., Acosta, J. J., & Walker, T. D. (2024, January 1). Forest Products Journal, Vol. 75, pp. 26–33.

Towards Autonomous, Aerial Pollination: Design of a Robotic Pollinator Payload for Controlled Crosses in Loblolly Pine

Pandey, P., Acosta, J. J., Payn, K. G., & Young, S. (2024, January 1). Applied Engineering in Agriculture, Vol. 40, pp. 635–649.

Volume-based selection in Pinus pinaster Aiton breeding: evaluating resistance to Bursaphelenchus xylophilus (Steiner & Buhrer) Nickle and wood properties

Torres-Sánchez, E., Acosta, J. J., Hodge, G. R., Prada, E., Menéndez-Gutiérrez, M., & Díaz, R. (2024, October 30). Annals of Forest Science, Vol. 81.

Analysis of alkaloids and reducing sugars in processed and unprocessed tobacco leaves using a handheld near infrared spectrometer

Journal of Near Infrared Spectroscopy, 31(2), 55–62.

Quantitative Genetics of a Hybrid Population of Eucalyptus nitens × Eucalyptus globulus: Estimation of Genetic Parameters and Implications for Breeding Strategies

Ibarra, L., Hodge, G., & Acosta, J. J. (2023, February 13). Forests, Vol. 14.

Genomic consequences of artificial selection during early domestication of a wood fibre crop

Mostert‐O'Neill, M. M., Tate, H., Reynolds, S. M., Mphahlele, M. M., Berg, G., Verryn, S. D., … Myburg, A. A. (2022, June 3). New Phytologist, Vol. 7.

Predicted genetic gains for growth traits and wood resistance in Pinus maximinoi and Pinus tecunumanii

Perek, M., Hodge, G., Tambarussi, E. V., Biernaski, F. A., & Acosta, J. (2022, January 1). Crop Breeding and Applied Biotechnology.

Quantitative trait loci related to growth and wood quality traits in Eucalyptus grandis W. Hill identified through single- and multi-trait genome-wide association studies

Tree Genetics & Genomes, 18(6).

Towards Inline Prediction of Color Development for Wood Stained with Chemical Stains Using Near-Infrared Spectroscopy

Kropat, M., Laleicke, P. F., & Acosta, J. J. (2022, March 1). Forest Products Journal, Vol. 72, pp. 130–139.

A genome‐wide SNP genotyping resource for tropical pine tree species

Molecular Ecology Resources, 22(2), 695–710.

Hyperspectral Imaging Combined with Machine Learning for the Detection of Fusiform Rust Disease Incidence in Loblolly Pine Seedlings

Pandey, P., Payn, K. G., Lu, Y., Heine, A. J., Walker, T. D., Acosta, J. J., & Young, S. (2021, September 9). Remote Sensing, Vol. 13, p. 3595.

Hyperspectral Imaging with Cost-Sensitive Learning for High-Throughput Screening of Loblolly Pine (Pinus taeda L.) Seedlings for Freeze Tolerance

Lu, Y., Payn, K. G., Pandey, P., Acosta, J. J., Heine, A. J., Walker, T. D., & Young, S. (2021, January 1). Transactions of the ASABE, Vol. 64, pp. 2045–2059.

Initial growth results comparing first generation F1 and advanced-generation F2 Pinus patula × Pinus tecunumanii interspecific hybrid families

Nel, A., Acosta, J. J., & Hodge, G. R. (2021, April 3). Southern Forests a Journal of Forest Science, Vol. 9, pp. 1–7.

Prediction of Freeze Damage and Minimum Winter Temperature of the Seed Source of Loblolly Pine Seedlings Using Hyperspectral Imaging

Lu, Y., Walker, T. D., Acosta, J. J., Young, S., Pandey, P., Heine, A. J., & Payn, K. G. (2021, April 2). Forest Science, Vol. 67, pp. 321–334.

The use of near infrared spectroscopy to predict foliar nutrient levels of hydroponically grown teak seedlings

Whittier, W. A., Hodge, G. R., Lopez, J., Saravitz, C., & Acosta, J. J. (2021, July 8). Journal of Near Infrared Spectroscopy, Vol. 7.

Toward genomic selection in Pinus taeda: Integrating resources to support array design in a complex conifer genome

Caballero, M., Lauer, E., Bennett, J., Zaman, S., McEvoy, S., Acosta, J., … Isik, F. (2021, June 1). Applications in Plant Sciences, Vol. 7.

An Algorithm for Genetic Analysis of Full-Sib Datasets with Mixed-Model Software Lacking a Numerator Relationship Matrix Function, and a Comparison with Results from a Dedicated Genetic Software Package

Hodge, G. R., & Acosta, J. J. (2020, November 2). Forests, Vol. 11, p. 1169.

Comparison of benchtop and handheld near‐infrared spectroscopy devices to determine forage nutritive value

Crop Science, 60(6), 3410–3422.

Defoliation management effects on nutritive value of ‘performer’ switchgrass

Crop Science, 60(3), 1682–1689.

Genomic evidence of introgression and adaptation in a model subtropical tree species, Eucalyptus grandis

Mostert‐O'Neill, M. M., Reynolds, S. M., Acosta, J. J., Lee, D. J., Borevitz, J. O., & Myburg, A. A. (2020, September 2). Molecular Ecology, Vol. 9.

Genomics of Clinal Local Adaptation in Pinus sylvestris Under Continuous Environmental and Spatial Genetic Setting

Tyrmi, J. S., Vuosku, J., Acosta, J. J., Li, Z., Sterck, L., Cervera, M. T., … Pyhäjärvi, T. (2020, June 16). G3 Genes Genomes Genetics, Vol. 10, pp. 2683–2696.

Wood and Pulping Properties Variation of Acacia crassicarpa A.Cunn. ex Benth. and Sampling Strategies for Accurate Phenotyping

Martins, G. S., Yuliarto, M., Antes, R., Sabki, Prasetyo, A., Unda, F., … Acosta, J. J. (2020, September 28). Forests, Vol. 11, p. 1043.

Exome Resequencing Reveals Evolutionary History, Genomic Diversity, and Targets of Selection in the Conifers Pinus taeda and Pinus elliottii

Genome Biology and Evolution, 11(2), 508–520.

Genomic selection prediction models comparing sequence capture and SNP array genotyping methods

Molecular Breeding, 38(9).

Global near infrared spectroscopy models to predict wood chemical properties of Eucalyptus

Journal of Near Infrared Spectroscopy, 26(2), 117–132.

Terpenes associated with resistance against the gall wasp, Leptocybe invasa, in Eucalyptus grandis

Plant, Cell & Environment, 41(8), 1840–1851.

The Amborella Genome and the Evolution of Flowering Plants

Science, 342(6165), 1456–1457.

Accelerating the domestication of trees using genomic selection: accuracy of prediction models across ages and environments

New Phytologist, 193(3), 617–624.

Stability of Genomic Selection prediction models across ages and environments

Valle, P. R. M. D., Acosta, J. J., Resende, M. D. V., Grattapaglia, D., & Kirst, M. (2011, September 13). BMC Proceedings.

Evaluación de métodos estadísticos utilizados en trabajos de grado y tesis en los programas de la facultad de ciencias agropecuarias, en un período de tres años

Revista Facultad Nacional De Agronomía, 59(2), 3565–3580. https://www.redalyc.org/articulo.oa?id=179914075012

Evaluación de métodos estadísticos utilizados en trabajos de grado y tesis en los programas de la facultad de ciencias agropecuarias, en un período de tres años.

Revista Facultad Nacional De Agronomía, Medellín., 59(2), 3465–3580. https://revistas.unal.edu.co/index.php/refame/article/view/24349

Escorrentía superficial en bosques montanos naturales y plantados de Antioquia, Colombia

Revista Facultad Nacional De Agronomía, Medellín., S.l.], v. 58, n. 1, 2635–2649, https://revistas.unal.edu.co/index.php/refame/article/view/21509/22498

Escorrentía superficial en bosques montanos naturales y plantados de Antioquia, Colombia

Revista Facultad Nacional De Agronomía, 58(1), 2635–2649. http://www.bdigital.unal.edu.co/24359/1/21509-73485-1-PB.pdf