Genomic Prediction Using Multi-trait Weighted GBLUP Accounting for Heterogeneous Variances and Covariances Across the Genome von Karaman, Emre, Lund, Mogens S, Anche, Mahlet T, Janss, Luc, Su, Guosheng

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Scalable growth models for time‐series multispectral images von Anche, Mahlet T., Morales, Nicholas, Kaczmar, Nicholas S., Santantonio, Nicholas, Gore, Michael A., Robbins, Kelly R.

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Spatio-temporal modeling of high-throughput multispectral aerial images improves agronomic trait genomic prediction in hybrid maize von Morales, Nicolas, Anche, Mahlet T, Kaczmar, Nicholas S, Lepak, Nicholas, Ni, Pengzun, Romay, Maria Cinta, Santantonio, Nicholas, Buckler, Edward S, Gore, Michael A, Mueller, Lukas A, Robbins, Kelly R

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Temporal covariance structure of multi-spectral phenotypes and their predictive ability for end-of-season traits in maize von Anche, Mahlet T., Kaczmar, Nicholas S., Morales, Nicolas, Clohessy, James W., Ilut, Daniel C., Gore, Michael A., Robbins, Kelly R.

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Genetic analysis of infectious diseases: estimating gene effects for susceptibility and infectivity von Anche, Mahlet T, Bijma, P, De Jong, Mart C M

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Supplemental Material for Morales et al., 2024 von Morales, Nicolas, T. Anche, Mahlet, S. Kaczmar, Nicholas, Lepak, Nicholas, Ni, Pengzun, Romay, Maria Cinta, Santantonio, Nicholas, Buckler, Edward S., Gore, Michael A., A. Mueller, Lukas, Robbins, Kelly R.

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Genomic Prediction Strategies for Dry-Down-Related Traits in Maize von Ni, Pengzun, Anche, Mahlet Teka, Ruan, Yanye, Dang, Dongdong, Morales, Nicolas, Li, Lingyue, Liu, Meiling, Wang, Shu, Robbins, Kelly R.

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Supplemental Material for Karaman et al., 2018 von Karaman, Emre, Lund, Mogens Sandø, Mahlet Teka Anche, Janss, Luc, Guosheng Su

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