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Blanchard Sugarcane Lab Publications

Peer-reviewed publications generated from the lab

Baptistella, J. L. C., Blanchard, B. A., Taylor, Z., Kimbeng, C. A., Fritsche-Neto, R., Gravois, K. A., & Reis, A. F. B. (2024). Phenotypic plasticity and genetic trends in the past 30 years of sugarcane genetic improvement in Louisiana. Crop science, 64(1), 44-54. https://doi.org/https://doi.org/10.1002/csc2.21137

Blanchard, B. A. (2024). Evaluating Past Progress and Assessing Prediction Breeding Strategies for Sustained Genetic Gains in the Louisiana Sugarcane Variety Development Program Louisiana State University and Agricultural & Mechanical College].

Blanchard, B. A., Taylor, Z. A., Pontif, M. J., Kimbeng, C. A., & Gravois, K. A. (2024). Five decades of productivity gains in the Louisiana sugar industry. Crop science, 64(1), 74-87. https://doi.org/10.1002/csc2.21129

Blanchard, B. A., Taylor, Z. A., Rivette, M. G., Kimbeng, C. A., & Gravois, K. A. (2024). The release of ‘LCP 85-384’ and its contribution to the Louisiana sugar industry. Journal of Plant Registrations, 18(2), 221-240. https://doi.org/https://doi.org/10.1002/plr2.20370

Blanchard, B., Taylor, Z., Simon, W., Mullen, J., Pontif, M., Baisakh, N., Gravois, K., & Kimbeng, C. (2025). Evaluating Family by Environment Interactions and Combining Ability in Seedling Populations of the Louisiana Sugarcane (Saccharum spp. Hybrids) Breeding Program. Plant Breeding. https://doi.org/10.1111/pbr.70055.

Pontif, M., Kimbeng, C., Gravois, K., Taylor, Z., Sexton, D., Blanchard, B., Daigle, M., Fontenot, D., Hawkins, G., Hoy, J., Baisakh, N., Wilson, B., Orgeron, A., Todd, J., Hale, A., & Waguespack, H. (2023). Registration of ‘L 14-267’ sugarcane. Journal of Plant Registrations, 17(2), 343-358. https://doi.org/https://doi.org/10.1002/plr2.20267

Satpathy, S., Shahi, D., Blanchard, B., Pontif, M., Gravois, K., Kimbeng, C., Hale, A., Todd, J., Rao, A., & Baisakh, N. (2022). Evaluation of Models for Utilization in Genomic Prediction of Agronomic Traits in the Louisiana Sugarcane Breeding Program. Agriculture, 12(9), 1330. https://www.mdpi.com/2077-0472/12/9/1330

Shahi, D., Hoy, J. W., Hale, A. L., Blanchard, B. A., Gama, A. B., & Baisakh, N. (2025). Machine Learning Enables Genomic Prediction of Resistance to Sugarcane (Saccharum spp. Hybrids) Diseases in Louisiana. Sugar Tech. https://doi.org/10.1007/s12355-025-01644-9

Shahi, D., Todd, J., Gravois, K., Hale, A., Blanchard, B., Kimbeng, C., Pontif, M., & Baisakh, N. (2025). Exploiting historical agronomic data to develop genomic prediction strategies for early clonal selection in the Louisiana sugarcane variety development program. The Plant Genome, 18(1), e20545. https://doi.org/https://doi.org/10.1002/tpg2.20545

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