Publications
FY2023 (Oct 2022 – 2023)
Farhad, M., Tripathi, S.B., Singh, R.P., Joshi, A.K., Bhati, P.K., Vishwakarma, M.K., & Kumar, U. 2023. "GWAS for Early-Establishment QTLs and Their Linkage to Major Phenology-Affecting Genes (Vrn, Ppd, and Eps) in Bread Wheat." Genes 14(7): 1507. doi:10.3390/genes14071507.
Dreisigacker, S., Pérez-Rodríguez, P., Crespo-Herrera, L., Bentley, A.R., & Crossa, J. 2023. "Results from Rapid-Cycle Recurrent Genomic Selection in Spring Bread Wheat." G3: Genes, Genomes, Genetics 13(4): jkad025. doi:10.1093/g3journal/jkad025.
Costa-Neto, G., Crespo-Herrera, L., Fradgley, N., Gardner, K., Bentley, A.R., Dreisigacker, S., Fritsche-Neto, R., Montesinos-López, O.A., & Crossa, J. 2023. "Envirome-Wide Associations Enhance Multi-Year Genome-Based Prediction of Historical Wheat Breeding Data." G3 13(2): jkac313. doi:10.1093/g3journal/jkac313.
Togninalli, M., Wang, X., Kucera, T., Shrestha, S., Juliana, P., Mondal, S., Pinto, F., Govindan, V., Crespo-Herrera, L., Huerta-Espino, J., Singh, R.P., Borgwardt, K., & Poland, J. 2023. "Multi-Modal Deep Learning Improves Grain Yield Prediction in Wheat Breeding by Fusing Genomics and Phenomics." Bioinformatics 39(6): btad226. doi:10.1093/bioinformatics/btad336.
Reyes-Jaimez, A.E., Muñoz-Zavala, S., León-Juárez, E.Y., Luna-Garrido, B., Nuñez-Rios, C., Lopez-Garcia, A.Y., & Dreisigacker, S. 2022. "A Semi-Automated DNA Extraction Protocol from Leaf and Seed Tissue of Wheat Using a Liquid Handling Station and Magnetic Beads (Version 1)." Zenodo. doi:10.5281/zenodo.7443884.
Adhikari, L., Shrestha, S., Wu, S., et al. 2022. "A High-Throughput Skim-Sequencing Approach for Genotyping, Dosage Estimation and Identifying Translocations." Sci Rep 12: 17583. doi:10.1038/s41598-022-19858-2.
FY2022 (Oct 2021 - Sept 2022)
Bhati, P.K., Juliana, P., Singh, R.P., Joshi, A.K., Vishwakarma, M.K., Poland, J., Govindan, V., Shrestha, S., Crespo-Herrera, L., Mondal, S., Huerta-Espino, J., & Kumar, U. 2022. "Dissecting the Genetic Architecture of Phenology Affecting Adaptation of Spring Bread Wheat Genotypes to the Major Wheat-Producing Zones in India." Frontiers in Plant Science 13: 920682. doi:10.3389/fpls.2022.920682.
Juliana, P., He, X., Marza, F., Islam, R., Anwar, B., Poland, J., et al. 2022a. "Genomic Selection for Wheat Blast in a Diversity Panel, Breeding Panel, and Full-Sibs Panel." Frontiers in Plant Science 12: 745379. doi:10.3389/fpls.2021.745379.
Juliana, P., He, X., Poland, J., Roy, K.K., Malaker, P.K., Mishra, V.K., et al. 2022b. "Genomic Selection for Spot Blotch in Bread Wheat Breeding Panels, Full-Sibs, and Half-Sibs and Index-Based Selection for Spot Blotch, Heading, and Plant Height." Theoretical and Applied Genetics 135: 1965–1983. doi:10.1007/s00122-022-04087-y.
Juliana, P., He, X., Poland, J., Shrestha, S., Joshi, A.K., Huerta-Espino, J., et al. 2022c. "Genome-Wide Association Mapping Indicates Quantitative Genetic Control of Spot Blotch Resistance in Bread Wheat and the Favorable Effects of Some Spot Blotch Loci on Grain Yield." Frontiers in Plant Science 13: 1–18. doi:10.3389/fpls.2022.835095.
Mondaini, A., Rosyara, U., Sehgal, D., & Dreisigacker, S. 2022. "Selection Signatures in the CIMMYT International Elite Spring and Semi-Arid Wheat Yield Trials." Plant Genome 15(1): e20165. doi:10.1002/tpg2.20165.
Montesinos-López, O.A., Montesinos-López, J.C., Montesinos-López, A., Ramírez-Alcaraz, J.M., Poland, J., Singh, R., Dreisigacker, S., Crespo, L., Mondal, S., Govidan, V., Juliana, P., Espino, J.H., Shrestha, S., Varshney, R.K., & Crossa, J. 2022. "Bayesian Multitrait Kernel Methods Improve Multienvironment Genome-Based Prediction." G3: Genes, Genomes, Genetics 12(2): Jkab406. doi:10.1093/g3journal/jkab406.
Gholami, M., Wimmer, V., Sansaloni, C., Petroli, C., Hearne, S.J., Covarrubias-Pazaran, G., Rensing, S., Heise, J., Pérez-Rodríguez, P., Dreisigacker, S., Crossa, J., & Martini, J.W.R. 2021. "A Comparison of the Adoption of Genomic Selection Across Different Breeding Institutions." Frontiers in Plant Science 12: 728567. doi:10.3389/fpls.2021.728567.
Juliana, P., Singh, R.P., Poland, J., Shrestha, S., Huerta-Espino, J., Govindan, V., Mondal, S., Crespo-Herrera, L.A., Kumar, U., Joshi, A.K., Payne, T., Bhati, P.K., Tomar, V., Consolacion, F., & Campos Serna, J.A. 2021. "Elucidating the Genetics of Grain Yield and Stress-Resilience in Bread Wheat Using a Large-Scale Genome-Wide Association Mapping Study with 55,568 Lines." Scientific Reports 11(1): 5254. doi:10.1038/s41598-021-84308-4.
Tomar, V., Singh, D., Dhillon, G.S., Chung, Y.S., Poland, J., Singh, R.P., Joshi, A.K., Gautam, Y., Tiwari, B.S., & Kumar, U. 2021. "Increased Predictive Accuracy of Multi-Environment Genomic Prediction Model for Yield and Related Traits in Spring Wheat (Triticum aestivum L.)." Frontiers in Plant Science 12: 720123. doi:10.3389/fpls.2021.720123.
Farhad, M., Tripathi, S.B., Singh, R.P., Joshi, A., Bhati, P., Vishwakarma, M.K., Mondal, S., Malik, A.A., & Kumar, U. 2021. "Multi-Trait Selection of Bread Wheat Ideotypes for Adaptation to Early Sown Condition." Crop Science 62: 67–82. doi:10.1002/csc2.20628.
Lopez-Cruz, M., Dreisigacker, S., Crespo-Herrera, L., Bentley, A.R., Singh, R., Poland, J., Shrestha, S., Huerta-Espino, J., Govindan, V., Juliana, P., Mondal, S., Pérez-Rodríguez, P., & Crossa, J. 2022. "Sparse Kernel Models Provide Optimization of Training Set Design for Genomic Prediction in Multiyear Wheat Breeding Data." The Plant Genome 15(4): e20254. doi:10.1002/tpg2.20254.
FY2021 (OCT 2020 – SEPT 2021)
Rahman M, Crain J, Haghighattalab A, Singh R, Poland J. 2021. “Improving wheat yield prediction using secondary traits and high-density phenotyping under heat-stressed environments.” Front. Plant Sci. 12:633651. DOI: 10.3389/fpls.2021.633651.
Tomar V, Singh D, Dhillon GS, Singh RP, Poland J, Joshi AK, Singh PK, Bhati PK, Kumar S, Rahman M, Tiwari BS, Kumar U. 2021. “New QTLs for spot blotch disease resistance in wheat (Triticum aestivum L.) using genome-wide association mapping.” Frontiers in Genetics. 11:613217. DOI: 10.3389/fgene.2020.613217.
Tomar V, Dhillon GS, Singh D, Singh RP, Poland J, Joshi AK, Tiwari BS, Kumar U. 2021. “Evaluations of Genomic Prediction and Identification of New Loci for Resistance to Stripe Rust Disease in Wheat (Triticum aestivum L.).” Frontiers in Genetics. 12:710485. DOI: 10.3389/fgene.2021.710485.
Tomar V, Dhillon GS, Singh Daljit, Singh RP, Poland J, Joshi AK, Tiwari BS, Kumar Uttam. 2021. “Elucidating SNP-based genetic diversity and population structure of advanced breeding lines of bread wheat (Triticum aestivum L.).” PeerJ. 9:e11593. DOI: 10.7717/peerj.11593.
Dreisigacker S, Crossa J, Pérez-Rodríguez P, Montesinos-López OA, Rosyara U, Juliana P, et al. 2021. “Implementation of Genomic Selection in the CIMMYT Global Wheat Program, Findings from the Past 10 Years.” Crop Breed Genet Genom. 3(2):e210005. DOI: 10.20900/cbgg20210005. https://hdl.handle.net/10883/21708.
Crossa J, Fritsche-Neto R, Montesinos-Lopez OA, Costa-Neto G, Dreisigacker S, Montesinos-Lopez A, Bentley AR. 2021. “The Modern Plant Breeding Triangle: Optimizing the Use of Genomics, Phenomics, and Enviromics Data.” Front. Plant Sci. 12:651480. DOI: 10.3389/fpls.2021.651480.
Gao L, Koo DH, Juliana P, Rife T, Singh D, Lemes da Silva C, Lux T, Dorn KM, Clinesmith M, Silva P, Wang X, Spannagl M, Monat C, Friebe B, Steuernagel B, Muehlbauer GJ, Walkowiak S, Pozniak C, Singh R, Stein N, Mascher M, Fritz A, Poland J. 2020. “The Aegilops ventricosa 2NvS segment in bread wheat: cytology, genomics, and breeding.” Theoretical and Applied Genetics. 134:529-542. DOI: 10.1007/s00122-020-03712-y.
Juliana P, He X, Kabir MR, Roy KK, Anwar MB, Marza F, Poland J, Shrestha S, Singh RP, Singh PK. 2020. “Genome-wide association mapping for wheat blast resistance in CIMMYT’s international screening nurseries evaluated in Bolivia and Bangladesh.” Scientific Reports. 10:15972. DOI: 10.1038/s41598-020-72735-8.
Wang X, Silva P, Bello NM, Singh D, Evers B, Mondal S, Espinosa FP, Singh RP, Poland J. 2020. “Improved accuracy of high-throughput phenotyping from unmanned aerial systems by extracting traits directly from orthorectified images.” Front. Plant Sci. 11:587093. DOI: 10.3389/fpls.2020.587093.
Sehgal D, Mondal S, Crespo-Herrera L, Velu G, Juliana P, Huerta-Espino J, Shrestha S, Poland J, Singh R, Dreisigacker S. 2020. “Haplotype-Based, Genome-Wide Association Study Reveals Stable Genomic Regions for Grain Yield in CIMMYT Spring Bread Wheat.” Frontiers in Genetics. 11:589490. DOI: 10.3389/fgene.2020.589490.
FY2020 (OCT 2019-SEPT 2020)
Ibba MI, Crossa J, Montesinos-López OA, Montesinos-López A, Juliana P, Guzman C, Delorean E, Dreisigacker S, Poland J. 2020. “Genome-based prediction of multiple wheat quality traits in multiple years.” Plant Genome. 13:e20034. DOI: 10.1002/tpg2.20034.
Juliana P, Singh RP, Braun HJ, Huerta-Espino J, Crespo-Herrera L, Payne T, Poland J, Shrestha S, Kumar U, Joshi AK, Imtiaz M, Rahman MM, Toledo FH. 2020. “Retrospective quantitative genetic analysis and genomic prediction of global wheat yields.” Frontiers in Plant Science. 11:580136. DOI: 10.3389/fpls.2020.580136.
Juliana P, Singh RP, Braun HJ, Huerta-Espino J, Crespo-Herrera L, Govindan V, Mondal S, Poland J, Shrestha S. 2020. “Genomic selection for grain yield in the CIMMYT wheat breeding program—status and perspectives.” Frontiers in Plant Science. 11:564183. DOI: 10.3389/fpls.2020.564183.
Krause MR, Mondal S, Crossa J, Singh RP, Pinto F, Haghighattalab A, Shrestha S, Rutkoski J, Gore MA, Sorrells ME, Poland J. 2020. “Aerial high-throughput phenotyping enables indirect selection for grain yield at the early generation, seed-limited stages in breeding programs.” Crop Science. 60:3096–3114. DOI: 10.1002/csc2.20259.
Sehgal D, Rosyara U, Mondal S, Singh R, Poland J, Dreisigacker S. 2020. “Incorporating genome-wide association mapping results into genomic prediction models for grain yield and yield stability in CIMMYT spring bread wheat.” Frontiers in Plant Science. 11:197. DOI: 10.3389/fpls.2020.00197.
Pérez-Rodríguez P, Flores-Galarza S, Vaquera-Huerta H, Hebert del Valle-Paniagua D, Montesinos-López OA, Crossa J. 2020. Genome-based prediction of Bayesian linear and non-linear regression models for ordinal data. Plant Genome. 13:e20021. DOI: 10.1002/tpg2.20021.
Martini JWR, Crossa J, Toledo FH, Cuevas J. 2020. “On Hadamard and Kronecker products in covariance structures for genotype × environment interaction.” The Plant Genome. 13:e20033.. DOI: 10.1002/tpg2.20033.
Gerard GS, Crespo-Herrera LA, Crossa J, Mondal S, Velu G, Juliana P, Huerta-Espino J, Vargas M, Rhandawa MS, Bhavani S, Braun H, Singh RP. 2020. “Grain yield genetic gains and changes in physiological related traits for CIMMYT’s High Rainfall Wheat Screening Nursery tested across international environments.” Field Crops Research. 249:107742. DOI: 10.1016/j.fcr.2020.107742.
Martini JWR, Toledo FH, Crossa J. 2020. “On the approximation of interaction effect models by Hadamard powers of the additive genomic relationship.” Theoretical Population Biology. 132:16-23. DOI: 10.1016/j.tpb.2020.01.004.
Cerón-Rojas JJ, Crossa J. 2020. “Combined Multistage Linear Genomic Selection Indices To Predict the Net Genetic Merit in Plant Breeding.” G3: Genes|Genomes|Genetics. 10(6):2087–2101. DOI: 10.1534/g3.120.401171.
Cerón-Rojas JJ, Crossa J. 2020. “Expectation and variance of the estimator of the maximized selection response of linear selection indices with normal distribution.” Theor Appl Genet. 133:2743–2758. DOI: 10.1007/s00122-020-03629-6.
FY2019 (OCT 2018-SEPT 2019)
Juliana P, Poland J, Huerta-Espino J, Shrestha S, Crossa J, Crespo-Herrera L, Toledo FH, Govindan V, Mondal S, Kumar U, et al. 2019. “Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics.” Nature Genetics. 51(10):1530-1539. DOI: 10.1038/s41588-019-0496-6.
Howard R, Gianola D, Montesinos-López O, Juliana P, Singh R, Poland J, Shrestha S, Pérez-Rodríguez P, Crossa J, Jarquín D. 2019. “Joint use of genome, pedigree, and their interaction with environment for predicting the performance of wheat lines in new environments.” G3: Genes|Genomes|Genetics. 9(9):2925–2934. DOI: 10.1534/g3.119.400508.
2018
Crain, J., Mondal, S., Rutkoski, J., Singh, R. P., & Poland, J. (2018). Combining High-Throughput Phenotyping and Genomic Information to Increase Prediction and Selection Accuracy in Wheat Breeding. The Plant Genome, 11(1), 0. https://doi.org/10.3835/plantgenome2017.05.0043
Battenfield, S. D., Sheridan, J. L., Silva, L. D. C. E., Miclaus, K. J., Dreisigacker, S., Wolfinger, R. D., Peña, R. J., Singh, R. P., Jackson, E. W., Fritz, A. K., Guzmán, C., & Poland, J. A. (2018). Breeding-assisted genomics: Applying meta-GWAS for milling and baking quality in CIMMYT wheat breeding program. PLOS ONE, 13(11), e0204757. https://doi.org/10.1371/journal.pone.0204757
Juliana, P., Singh, R.P., Singh, P.K., Poland, J.A., Bergstrom, G.C., Huerta-Espino, J., Bhavani, S., Crossa, J. & Sorrells, M.E. (2018) Genome-wide association mapping for resistance to leaf rust, stripe rust and tan spot in wheat reveals potential candidate genes. Theoretical and Applied Genetics, 1-18.
Juliana, P., Singh, R. P., Poland, J., Mondal, S., Crossa, J., Montesinos-López, O. A., Dreisigacker, S., Pérez-Rodríguez, P., Huerta-Espino, J., Crespo-Herrera, L., & Govindan, V. (2018). Prospects and Challenges of Applied Genomic Selection—A New Paradigm in Breeding for Grain Yield in Bread Wheat. The Plant Genome, 11(3). Retrieved from https://dl.sciencesocieties.org/publications/tpg/pdfs/0/0/180017
Juliana, P., Montesinos-López, O. A., Crossa, J., Mondal, S., González Pérez, L., Poland, J., Huerta-Espino, J., Crespo-Herrera, L., Govindan, V., Dreisigacker, S., Shrestha, S., Pérez-Rodríguez, P., Pinto Espinosa, F., & Singh, R. P. (2018). Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat. Theoretical and Applied Genetics, 1–18. https://doi.org/10.1007/s00122-018-3206-3
Wang, X., Singh, D., Marla, S., Morris, G., & Poland, J. (2018). Field-based high-throughput phenotyping of plant height in sorghum using different sensing technologies. Plant Methods, 14(1), 53. https://doi.org/10.1186/s13007-018-0324-5
2017
Haghighattalab, A., J. Crain, S. Mondal, J. Rutkoski, R. P. Singh and J. Poland (2017) Application of geographically weighted regression to improve grain yield prediction from unmanned aerial system imagery. Crop Science. DOI: 10.2135/cropsci2016.12.1016
Crossa, J., Pérez-Rodríguez, P., Cuevas, J., Montesinos-López, O., Jarquín, D., de los Campos, G., Burgueño, J., Camacho-González, J.M., Pérez-Elizalde, S., Beyene, Y., Dreisigacker, S., Singh, R., Zhang, X., Gowda, M., Roorkiwal, M., Rutkoski, J., & Varshney, R.K. (2017). Genomic Selection in Plant Breeding: Methods, Models, and Perspectives. Trends in Plant Science. Published online. http://dx.doi.org/10.1016/j.tplants.2017.08.011
Lado, B., S. Battenfield, C. Guzmán, M. Quincke, R. P. Singh, S. Dreisigacker, R. J. Peña, A. Fritz, P. Silva, J. Poland and L. Gutiérrez (2017) Strategies for selecting crosses using genomic prediction in two wheat breeding programs. The Plant Genome 10(2). DOI: 10.3835/plantgenome2016.12.0128
Montesinos‑López, A., Montesinos‑López, O.A., Cuevas, J., Mata‑López, W.A., Burgueño, J., Mondal, S., Huerta, J., Singh, R., Autrique, E., González‑Pérez, L., & Crossa, J. 2017. Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data. Plant Methods 13:62 DOI 10.1186/s13007-017-0212-4
Montesinos‑López, O.A, Montesinos‑López, A., Cross, J., Montesinos‑López, J.C., Moto-Sanchez, D., Estrada-Gonzalez, F., Gilberg, J., Singh, R., Mondal, S., & Juliana, P.2017. Prediction of multiple-trait and multiple-environment genomic data using recommender systems. G3,doi: 10.1534/g3.117.300309
Dunckel, S., Crossa, J., Wu, S., Bonnett, D., & Poland, J. (2017). Genomic Selection for Increased Yield in Synthetic-Derived Wheat. Crop Science, 57(2). https://doi.org/10.2135/cropsci2016.04.0209
Juliana, P., Singh, R. P., Singh, P. K., Crossa, J., Huerta-Espino, J., Lan, C., Bhavani, S., Rutkoski, J. E., Poland, J. A., Bergstrom, G. C., & Sorrells, M. E. (2017). Genomic and pedigree-based prediction for leaf, stem, and stripe rust resistance in wheat. Theoretical and Applied Genetics, 1–16. https://doi.org/10.1007/s00122-017-2897-1
Juliana, P., Singh, R. P., Singh, P. K., Crossa, J., Rutkoski, J. E., Poland, J. A., Bergstrom, G. C., & Sorrells, M. E. (2017). Comparison of Models and Whole-Genome Profiling Approaches for Genomic-Enabled Prediction of Septoria Tritici Blotch, Stagonospora Nodorum Blotch, and Tan Spot Resistance in Wheat. The Plant Genome, 10(2), 0. https://doi.org/10.3835/plantgenome2016.08.0082
Pérez-Rodríguez, P., Crossa, J., Rutkoski, J., Poland, J., Singh, R., Legarra, A., Autrique, E., Campos, G. de los, Burgueño, J., & Dreisigacker, S. (2017). Single-Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments. The Plant Genome, 0(0), 0. https://doi.org/10.3835/plantgenome2016.09.0089
Sehgal, D., Autrique, E., Singh, R., Ellis, M., Singh, S., Dreisigacker, S. (2017). Identification of genomic regions for grain yield and yield stability and their epistatic interactions, 2017, Scientific Reports, 7, 41578. doi:10.1038/srep41578
Tanger, P., Klassen, S., Mojica, J. P., Lovell, J. T., Moyers, B. T., Baraoidan, M., Naredo, M. E. B., McNally, K. L., Poland, J., Bush, D. R., Leung, H., Leach, J. E., & McKay, J. K. (2017). Field-based high throughput phenotyping rapidly identifies genomic regions controlling yield components in rice. Scientific Reports, 7, 42839. https://doi.org/10.1038/srep42839
2016
Guzman, C., R. J. Peña, R. Singh, E. Autrique, S. Dreisigacker, J. Crossa, J. Rutkoski, J. Poland, and S. Battenfield (2016). Wheat quality improvement at CIMMYT and the use of genomic selection on it. Applied and Translational Genomics. DOI: 10.1016/j.atg.2016.10.004
Tack, J., A. Barkley, T. Rife, J. Poland, and L. Nalley (2016). Quantifying variety-specific heat resistance and the potential for adaptation to climate change. Global Change Biology, 22(8), 2904–2912. https://doi.org/10.1111/gcb.13163
Rutkoski, J., J. Poland, S. Mondal, E. Autrique, L. G. Párez, J. Crossa, M. Reynolds and R. Singh (2016) Canopy temperature and vegetation indices from high-throughput phenotyping improve accuracy of pedigree and genomic selection for grain yield in wheat. G3: Genes| Genomes| Genetics. DOI: 10.1534/g3.116.032888
Poland, J. and J. Rutkoski (2016). Advances and challenges in genomic selection for disease resistance. Annual Review of Phytopathology 54(1): DOI: doi:10.1146/annurev-phyto-080615-100056
Battenfield, S. D., C. Guzmán, R. C. Gaynor, R. Singh, R. Peña, S. Dreisigacker, A. Fritz and J. Poland (2016). Genomic selection for processing and end-use quality traits in the CIMMYT spring bread wheat breeding program. The Plant Genome. DOI: 10.3835/plantgenome2016.01.0005
Crain, J., Y. Wei, J. Barker, S. Thompson, P. Alderman, M. Reynolds, N. Zhang and J. Poland (2016). Development and deployment of a portable field phenotyping platform. Crop Science 56(3): 965-975. DOI: 10.2135/cropsci2015.05.0290
Montesinos-López, O. A., A. Montesinos-López, J. Crossa, F. Toledo, O. Pérez-Hernández, K. M. Eskridge, J. Rutkoski. A genomic Bayesian multi-trait and multi-environment model. G3:Genes | Genomes | Genetics. 6:2725-2744 doi:10.1534/g3.116.032359
Haghighattalab, A., L. González Pérez, S. Mondal, D. Singh, D. Schinstock, J. Rutkoski, I. Ortiz-Monasterio, R. P. Singh, D. Goodin and J. Poland (2016). Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries. Plant Methods 12(1): 1-15. DOI: 10.1186/s13007-016-0134-6
Wang, X., Thorp, K. R., White, J. W., French, A. N., & Poland, J. A. (2016). Approaches for Geospatial Processing of Field-Based High-Throughput Plant Phenomics Data from Ground Vehicle Platforms. Transactions of the ASABE, 59(5), 1053–1067. https://doi.org/10.13031/trans.59.11502
Sun, J., Rutkoski, J., Poland, J., Crossa, J., Jannink, J., Sorrells, M. Multitrait, Random Regression, or Simple Repeatability Model in High-Throughput Phenotyping Data Improve Genomic Prediction for Wheat Grain Yield. The Plant Genome. doi: 10.3835/plantgenome2016.11.0111
Pérez-Rodríguez, P., Crossa, J., Rutkoski, J., Poland, J., Singh, R., Legarra, A., Autrique, E., Campos, G. de los, Burgueño, J., & Dreisigacker, S. (2017). Single-Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments. The Plant Genome, 0(0), 0. https://doi.org/10.3835/plantgenome2016.09.0089
Barker, J., Zhang, N., Sharon, J., Steeves, R., Wang, X., Wei, Y., & Poland, J. (2016). Development of a field-based high-throughput mobile phenotyping platform. Computers and Electronics in Agriculture, 122, 74–85. https://doi.org/10.1016/j.compag.2016.01.017
2015
Juliana P., J. E. Rutkoski, J. Poland, R. P. Singh, S. Murugasamy, S. Natesan, H. Barbier, M. E. Sorrells. Genome-Wide Association Mapping for Leaf Tip Necrosis and Pseudo-black Chaff in Relation to Durable Rust Resistance in Wheat. The Plant Genome. Vol. 8, No. 2. doi:10.3835/plantgenome2015.01.0002.
Crain J. L., Y. Wei, J. Barker, S. M. Thompson, P. D. Alderman, M. Reynolds, N. Zhang, J. Poland. Development and deployment of a portable field phenotyping platform. Crop Science. Vol. 56 No. 3, p. 965-975. doi:10.2135/cropsci2015.05.0290.
Rutkoski J. , Poland J., Mondal, S. Autrique E., Gonzalez Perez L., Crossa J., Reynolds M., Singh R., Predictor traits from high-throughput phenotyping improve accuracy of pedigree and genomic selection for yield in wheat. In preparation.
Dunckel, S., M. Rouse, R Bowden, and J. Poland (2015) Genetic mapping of race-specific stem rust resistance in the synthetic hexaploid W7984 x Opata M85 mapping population. Crop Sci. 55:1–9. DOI: 10.2135/cropsci2014.11.0755
Poland, J. (2015) Breeding assisted genomics. Current Opinion in Plant Biology: 24,119–124
Rife, T., S. Wu, R. Bowden and J. Poland (2015) Spiked GBS: a unified, open platform for single marker genotyping and whole-genome profiling. BMC Genomics 16(1): 248
Rutkoski, J., R. P. Singh, J. Huerta-Espino, S. Bhavani, J. Poland, J. L. Jannink and M. E. Sorrells (2015) Genetic gain from phenotypic and genomic selection for quantitative resistance to stem rust of wheat. The Plant Genome 8(2). DOI: 10.3835/plantgenome2014.10.0074
Rutkoski, J., R. P. Singh, J. Huerta-Espino, S. Bhavani, J. Poland, J. L. Jannink and M. E. Sorrells (2015) Efficient use of historical data for genomic selection: A case study of stem rust resistance in wheat. The Plant Genome 8(1). DOI: 10.3835/plantgenome2014.09.0046
M. Lopez‐Cruz, J. Crossa, D. Bonnett, S. Dreisigacker, J. Poland, J‐L Jannink, R. P. Singh, E. Autrique and G. de los Campos. (2015) Increased prediction accuracy in wheat breeding trials using a marker × environment interaction genomic selection model. G3: Genes|Genomes|Genetics doi:10.1534/g3.114.016097