Publications in VIVO

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Rutkoski, J. Person

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article
- 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. 2020
- Aerial High-Throughput Phenotyping Enabling Indirect Selection for Grain Yield at the Early-generation Seed-limited Stages in Breeding Programs. bioRxiv. 2020
- 1k-RiCA (1K-Rice Custom Amplicon) a novel genotyping amplicon-based SNP assay for genetics and breeding applications in rice.. Rice. 12:55. 2019
- Estimation of Realized Rates of Genetic Gain and Indicators for Breeding Program Assessment. Crop Science. 59:981-993. 2019
- Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat.. G3-GENES GENOMES GENETICS. 9:1231-1247. 2019
- High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage.. Theoretical and Applied Genetics. 132:1705-1720. 2019
- Mark E. Sorrells. Plant Breeding Reviews. 1-38. 2018
- Estimation of realized rates of genetic gain and indicators for breeding program assessment. bioRxiv. 409342. 2018
- Use of Hyperspectral Reflectance-Derived Relationship Matrices for Genomic Prediction of Grain Yield in Wheat. bioRxiv. 389825. 2018
- Genomic selection for grain yield and quality traits in durum wheat. Molecular Breeding. 38:75. 2018
- Combining High-Throughput Phenotyping and Genomic Information to Increase Prediction and Selection Accuracy in Wheat Breeding.. PLANT GENOME. 11:170043. 2018
- Application of Geographically Weighted Regression to Improve Grain Yield Prediction from Unmanned Aerial System Imagery. Crop Science. 57:2478-2489. 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. PLANT GENOME. 10:1-16. 2017
- Multitrait, Random Regression, or Simple Repeatability Model in High-Throughput Phenotyping Data Improve Genomic Prediction for Wheat Grain Yield.. PLANT GENOME. 10:1-15. 2017
- Single‐Step Genomic and Pedigree Genotype × Environment Interaction Models for Predicting Wheat Lines in International Environments. PLANT GENOME. 10:1-15. 2017
- Genomic and pedigree-based prediction for leaf, stem, and stripe rust resistance in wheat. Theoretical and Applied Genetics. 130:1415-1430. 2017
- Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data. Plant Methods. 13:4-4. 2017
- Genomic prediction unifies animal and plant breeding programs to form platforms for biological discovery 2017
- Wheat quality improvement at CIMMYT and the use of genomic selection on it.. Applied and Translational Genomics. 11:3-8. 2016
- A Genomic Bayesian Multi-trait and Multi-environment Model. G3-GENES GENOMES GENETICS. 6:2725-2744. 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. 6:2799-2808. 2016
- Application of unmanned aerial systems for high throughput phenotyping of large wheat breeding nurseries. Plant Methods. 12:35-35. 2016
- A Genomic Selection Index Applied to Simulated and Real Data. G3-GENES GENOMES GENETICS. 5:2155-2164. 2015
- Genetic Gain from Phenotypic and Genomic Selection for Quantitative Resistance to Stem Rust of Wheat.. PLANT GENOME. 8:1-10. 2015
- Genome-Wide Association Mapping for Leaf Tip Necrosis and Pseudo-black Chaff in Relation to Durable Rust Resistance in Wheat.. PLANT GENOME. 8:1-12. 2015
- Efficient use of historical data for genomic selection: A case study of stem rust resistance in wheat. PLANT GENOME. 8:1-10. 2015
- Genomic selection for quantitative adult plant stem rust resistance in wheat. PLANT GENOME. 7:1-10. 2014
- Genomic Selection in Wheat Breeding using Genotyping-by-Sequencing. PLANT GENOME. 5:103-113. 2012
- Association mapping and gene-gene interaction for stem rust resistance in CIMMYT spring wheat germplasm. Theoretical and Applied Genetics. 123:1257-1268. 2011
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- Technological perspectives for plant breeding.. Theoretical and Applied Genetics. 555-557. 2019
- A practical guide to genetic gain. Advances in Agronomy. 217-249. 2019
- Advances and Challenges in Genomic Selection for Disease Resistance. Annual Review of Phytopathology. 79-98. 2016
- Genomic Bayesian Multi-trait and Multi-environment Model 2016
review
- Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equation. Theoretical and Applied Genetics. 627-645. 2019
- Role of modelling in international crop research: Overview and some case studies. AGRONOMY-BASEL. 291. 2018
- Genomic Selection in Plant Breeding: Methods, Models, and Perspectives. Trends in Plant Science. 961-975. 2017
- Disease Impact on Wheat Yield Potential and Prospects of Genetic Control.. Annual Review of Phytopathology. 303-322. 2016
- Harnessing Diversity in Wheat to Enhance Grain Yield, Climate Resilience, Disease and Insect Pest Resistance and Nutrition Through Conventional and Modern Breeding Approaches.. Frontiers in Plant Science. 991-991. 2016