Found: 20
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Genotype x environment interactions in sugarcane between China and Australia.
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- Crop & Pasture Science, 2012, v. 63, n. 5, p. 459, doi. 10.1071/CP12113
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- Article
Simultaneously accounting for population structure, genotype by environment interaction, and spatial variation in marker-trait associations in sugarcane.
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- Genome, 2010, v. 53, n. 11, p. 973
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- Article
Breed identification using breed-informative SNPs and machine learning based on whole genome sequence data and SNP chip data.
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- Journal of Animal Science & Biotechnology, 2023, v. 14, n. 1, p. 1, doi. 10.1186/s40104-023-00880-x
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- Article
A linkage disequilibrium-based approach to position unmapped SNPs in crop species.
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- BMC Genomics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12864-021-08116-w
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- Article
Use of continuous genotypes for genomic prediction in sugarcane.
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- Plant Genome, 2024, v. 17, n. 1, p. 1, doi. 10.1002/tpg2.20417
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- Article
Genomic prediction with machine learning in sugarcane, a complex highly polyploid clonally propagated crop with substantial non‐additive variation for key traits.
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- Plant Genome, 2023, v. 16, n. 4, p. 1, doi. 10.1002/tpg2.20390
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- Article
Optimizing selection indices in sugarcane seedlings.
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- Crop Science, 2021, v. 61, n. 6, p. 3972, doi. 10.1002/csc2.20602
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- Article
Accelerating Genetic Gain in Sugarcane Breeding Using Genomic Selection.
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- Agronomy, 2020, v. 10, n. 4, p. 585, doi. 10.3390/agronomy10040585
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- Article
Combining genomic selection with genome-wide association analysis identified a large-effect QTL and improved selection for red rot resistance in sugarcane.
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- Frontiers in Plant Science, 2022, v. 31, p. 1, doi. 10.3389/fpls.2022.1021182
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- Article
High-Throughput Phenotyping of Indirect Traits for Early-Stage Selection in Sugarcane Breeding.
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- Remote Sensing, 2019, v. 11, n. 24, p. 2952, doi. 10.3390/rs11242952
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- Article
Improved genomic prediction of clonal performance in sugarcane by exploiting non-additive genetic effects.
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- Theoretical & Applied Genetics, 2021, v. 134, n. 7, p. 2235, doi. 10.1007/s00122-021-03822-1
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- Article
Strategies and considerations for implementing genomic selection to improve traits with additive and non-additive genetic architectures in sugarcane breeding.
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- Theoretical & Applied Genetics, 2021, v. 134, n. 5, p. 1493, doi. 10.1007/s00122-021-03785-3
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- Article
Accuracy of genomic prediction of complex traits in sugarcane.
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- Theoretical & Applied Genetics, 2021, v. 134, n. 5, p. 1455, doi. 10.1007/s00122-021-03782-6
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- Article
Optimising clonal performance in sugarcane: leveraging non-additive effects via mate-allocation strategies.
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- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1260517
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- Article
Genomic prediction of sugar content and cane yield in sugar cane clones in different stages of selection in a breeding program, with and without pedigree information.
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- Molecular Breeding, 2020, v. 40, n. 4, p. 1, doi. 10.1007/s11032-020-01120-0
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- Article
Genomic prediction for sugarcane diseases including hybrid Bayesian-machine learning approaches.
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- Frontiers in Plant Science, 2024, p. 1, doi. 10.3389/fpls.2024.1398903
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- Article
Development of Lifting and Propulsion Mechanism for Biped Robot Inspired by Basilisk Lizards.
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- Advances in Mechanical Engineering (Sage Publications Inc.), 2013, v. 5, p. 1, doi. 10.1155/2013/976864
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- Article
Joint modeling of additive and non-additive (genetic line) effects in multi-environment trials.
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- Theoretical & Applied Genetics, 2007, v. 114, n. 8, p. 1319, doi. 10.1007/s00122-007-0515-3
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- Article
Associations between DNA markers and resistance to diseases in sugarcane and effects of population substructure.
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- Theoretical & Applied Genetics, 2006, v. 114, n. 1, p. 155, doi. 10.1007/s00122-006-0418-8
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- Article
Varietal selection for perennial crops where data relate to multiple harvests from a series of field trials.
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- Euphytica, 2007, v. 157, n. 1/2, p. 253, doi. 10.1007/s10681-007-9418-2
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- Article