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1. A combination of joint linkage and genome-wide association study reveals putative candidate genes associated with resistance to northern corn leaf blight in tropical maize

2. Enhanced radiation use efficiency and grain filling rate as the main drivers of grain yield genetic gains in the CIMMYT elite spring wheat yield trial

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3. Balancing Sensitivity and Specificity Enhances Top and Bottom Ranking in Genomic Prediction of Cultivars

4. Multispectral and thermal infrared data, visual scores for severity of common rust symptoms, and genotypic single nucleotide polymorphism data of three F2-derived biparental doubled-haploid maize populations

5. Genomic prediction of synthetic hexaploid wheat upon tetraploid durum and diploid Aegilops parental pools

7. Genomic prediction of the performance of hybrids and the combining abilities for line by tester trials in maize

8. Multimodal deep learning methods enhance genomic prediction of wheat breeding

9. Genetic analyses of tropical maize lines under artificial infestation of fall armyworm and foliar diseases under optimum conditions

10. Sparse kernel models provide optimization of training set design for genomic prediction in multiyear wheat breeding data

11. Envirome-wide associations enhance multi-year genome-based prediction of historical wheat breeding data

12. Modeling genotype × environment interaction for single and multitrait genomic prediction in potato (Solanum tuberosum L.)

13. Genome-wide association study and genomic prediction of Fusarium ear rot resistance in tropical maize germplasm

14. Genomic Prediction with Genotype by Environment Interaction Analysis for Kernel Zinc Concentration in Tropical Maize Germplasm

15. Genomic Prediction Enhanced Sparse Testing for Multi-environment Trials

16. Combined Multistage Linear Genomic Selection Indices To Predict the Net Genetic Merit in Plant Breeding

17. Automated Machine Learning: A Case Study of Genomic 'Image-Based' Prediction in Maize Hybrids

18. Using an incomplete block design to allocate lines to environments improves sparse genome‐based prediction in plant breeding

19. Response to Early Generation Genomic Selection for Yield in Wheat

20. Genome‐enabled prediction for sparse testing in multi‐environmental wheat trials

21. Assessing combining abilities, genomic data, and genotype × environment interactions to predict hybrid grain sorghum performance

22. Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction

23. Enviromic Assembly Increases Accuracy and Reduces Costs of the Genomic Prediction for Yield Plasticity in Maize

24. Efficiency of a Constrained Linear Genomic Selection Index To Predict the Net Genetic Merit in Plants

25. Optimizing Genomic-Enabled Prediction in Small-Scale Maize Hybrid Breeding Programs: A Roadmap Review

26. Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage

27. Application of Genomic Selection at the Early Stage of Breeding Pipeline in Tropical Maize

28. Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains

30. Genome-Wide Association Mapping and Genomic Prediction of Anther Extrusion in CIMMYT Hybrid Wheat Breeding Program via Modeling Pedigree, Genomic Relationship, and Interaction With the Environment

31. On Hadamard and Kronecker products in covariance structures for genotype × environment interaction

32. Genome‐based prediction of multiple wheat quality traits in multiple years

33. Approximate Genome-Based Kernel Models for Large Data Sets Including Main Effects and Interactions

34. Genomic Prediction of Kernel Zinc Concentration in Multiple Maize Populations Using Genotyping-by-Sequencing and Repeat Amplification Sequencing Markers

35. BGGE: A New Package for Genomic-Enabled Prediction Incorporating Genotype × Environment Interaction Models

36. Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction

37. Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South Asia

38. Enhancing Hybrid Prediction in Pearl Millet Using Genomic and/or Multi-Environment Phenotypic Information of Inbreds

39. Empirical Comparison of Tropical Maize Hybrids Selected Through Genomic and Phenotypic Selections

40. Drought and Heat Stress Impacts on Phenolic Acids Accumulation in Durum Wheat Cultivars

41. Genomic Prediction with Pedigree and Genotype × Environment Interaction in Spring Wheat Grown in South and West Asia, North Africa, and Mexico

42. Hybrid Wheat Prediction Using Genomic, Pedigree, and Environmental Covariables Interaction Models

43. Genomic-enabled Prediction Accuracies Increased by Modeling Genotype × Environment Interaction in Durum Wheat

44. Increasing Genomic-Enabled Prediction Accuracy by Modeling Genotype × Environment Interactions in Kansas Wheat

45. 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

46. Genetic Gains in Grain Yield of a Maize Population Improved through Marker Assisted Recurrent Selection under Stress and Non-stress Conditions in West Africa

47. Genetic Gains in Yield and Yield Related Traits under Drought Stress and Favorable Environments in a Maize Population Improved Using Marker Assisted Recurrent Selection

48. Genome-enabled prediction models for yield related traits in chickpea

49. Genomic Prediction of Genetic Values for Resistance to Wheat Rusts

50. Role of Modelling in International Crop Research: Overview and Some Case Studies