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5. Multi-modal deep learning improves grain yield prediction in wheat breeding by fusing genomics and phenomics

7. Author Correction: A high-throughput skim-sequencing approach for genotyping, dosage estimation and identifying translocations

11. A high-throughput skim-sequencing approach for genotyping, dosage estimation and identifying translocations

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

14. Dissecting the Genetic Architecture of Phenology Affecting Adaptation of Spring Bread Wheat Genotypes to the Major Wheat-Producing Zones in India

16. Cloning of the broadly effective wheat leaf rust resistance gene Lr42 transferred from Aegilops tauschii

18. 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

19. 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

23. Bayesian multitrait kernel methods improve multienvironment genome-based prediction

25. A High-Throughput Skim-sequencing Approach for Genotyping, Dosage Estimation and Identifying Translocations

28. EFFECT OF DROUGHT ON WHEAT IN NEPAL

30. 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

35. Retrospective Quantitative Genetic Analysis and Genomic Prediction of Global Wheat Yields

36. Aerial High-Throughput Phenotyping Enabling Indirect Selection for Grain Yield at the Early-generation Seed-limited Stages in Breeding Programs

40. Improving grain yield, stress resilience and quality of bread wheat using large-scale genomics

44. Integrating genomic-enabled prediction and high-throughput phenotyping in breeding for climate-resilient bread wheat

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