Found: 21
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Combining Crop Growth Modeling With Trait-Assisted Prediction Improved the Prediction of Genotype by Environment Interactions.
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- Frontiers in Plant Science, 2020, v. 11, p. 1, doi. 10.3389/fpls.2020.00827
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- Article
Are high-throughput root phenotyping platforms suitable for informing root system architecture models with genotype-specific parameters? An evaluation based on the root model ArchiSimple and a small panel of wheat cultivars.
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- Journal of Experimental Botany, 2024, v. 75, n. 8, p. 2510, doi. 10.1093/jxb/erae009
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- Article
Association mapping for cold tolerance in two large maize inbred panels.
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- BMC Plant Biology, 2016, v. 16, p. 1, doi. 10.1186/s12870-016-0816-2
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- Article
Scalable Sparse Testing Genomic Selection Strategy for Early Yield Testing Stage.
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- Frontiers in Plant Science, 2021, v. 12, p. 1, doi. 10.3389/fpls.2021.658978
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- Article
Cold Tolerance in Two Large Maize Inbred Panels Adapted to European Climates.
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- Crop Science, 2014, v. 54, n. 5, p. 1981, doi. 10.2135/cropsci2013.11.0733
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- Article
Genetic Variation for Cold Tolerance in Two Nested Association Mapping Populations.
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- Agronomy, 2023, v. 13, n. 1, p. 195, doi. 10.3390/agronomy13010195
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- Article
Genetic Analysis of Platform-Phenotyped Root System Architecture of Bread and Durum Wheat in Relation to Agronomic Traits.
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- Frontiers in Plant Science, 2022, v. 13, p. 1, doi. 10.3389/fpls.2022.853601
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- Article
BWGS: A R package for genomic selection and its application to a wheat breeding programme.
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- PLoS ONE, 2020, v. 15, n. 4, p. 1, doi. 10.1371/journal.pone.0222733
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- Article
Wheat individual grain-size variance originates from crop development and from specific genetic determinism.
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- PLoS ONE, 2020, v. 15, n. 3, p. 1, doi. 10.1371/journal.pone.0230689
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- Article
High-dimensional multi-omics measured in controlled conditions are useful for maize platform and field trait predictions.
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- Theoretical & Applied Genetics, 2024, v. 137, n. 7, p. 1, doi. 10.1007/s00122-024-04679-w
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- Article
Different wheat loci are associated to heritable free asparagine content in grain grown under different water and nitrogen availability.
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- Theoretical & Applied Genetics, 2024, v. 137, n. 2, p. 1, doi. 10.1007/s00122-024-04551-x
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- Article
Plasticity QTLs specifically contribute to the genotype × water availability interaction in maize.
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- Theoretical & Applied Genetics, 2023, v. 136, n. 11, p. 1, doi. 10.1007/s00122-023-04458-z
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- Article
Genetic regions determine tolerance to nitrogen deficiency in European elite bread wheats grown under contrasting nitrogen stress scenarios.
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- Theoretical & Applied Genetics, 2023, v. 136, n. 11, p. 1, doi. 10.1007/s00122-023-04468-x
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- Article
Phenomic selection in wheat breeding: prediction of the genotype-by-environment interaction in multi-environment breeding trials.
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- Theoretical & Applied Genetics, 2022, v. 135, n. 10, p. 3337, doi. 10.1007/s00122-022-04170-4
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- Article
Phenomic selection in wheat breeding: identification and optimisation of factors influencing prediction accuracy and comparison to genomic selection.
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- Theoretical & Applied Genetics, 2022, v. 135, n. 3, p. 895, doi. 10.1007/s00122-021-04005-8
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- Article
Using environmental clustering to identify specific drought tolerance QTLs in bread wheat (T. aestivum L.).
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- Theoretical & Applied Genetics, 2019, v. 132, n. 10, p. 2859, doi. 10.1007/s00122-019-03393-2
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- Article
Genomic prediction for grain yield and micro-environmental sensitivity in winter wheat.
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- Frontiers in Plant Science, 2023, v. 14, p. 1, doi. 10.3389/fpls.2022.1075077
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- Article
Intraspecific variation of recombination rate in maize.
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- Genome Biology, 2013, v. 14, n. 9, p. R103, doi. 10.1186/gb-2013-14-9-r103
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- Article
Recovering Power in Association Mapping Panels with Variable Levels of Linkage Disequilibrium.
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- Genetics, 2014, v. 197, n. 1, p. 375, doi. 10.1534/genetics.113.159731
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- Article
Training population optimization for genomic selection improves the predictive ability of a costly measure in bread wheat, the gliadin to glutenin ratio.
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- Euphytica, 2022, v. 218, n. 8, p. 1, doi. 10.1007/s10681-022-03062-4
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- Article
Training set optimization of genomic prediction by means of EthAcc.
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- PLoS ONE, 2019, v. 14, n. 2, p. 1, doi. 10.1371/journal.pone.0205629
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- Article