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1دورية أكاديمية
المؤلفون: Tardieu, F, Granato, I S C, Van Oosterom, E J, Parent, B, Hammer, G L
المساهمون: Vadez, Vincent, Australian Research Council Centre of Excellence, EU projects, Agence Nationale de la Recherche
المصدر: in silico Plants ; volume 2, issue 1 ; ISSN 2517-5025
مصطلحات موضوعية: Plant Science, Agronomy and Crop Science, Biochemistry, Genetics and Molecular Biology (miscellaneous), Modeling and Simulation
الإتاحة: https://doi.org/10.1093/insilicoplants/diaa011Test
http://academic.oup.com/insilicoplants/article-pdf/2/1/diaa011/36226448/diaa011.pdfTest -
2دورية أكاديمية
المؤلفون: Alves, F. C., Granato, I. S. C., Galli, g, Lyra, D. H., Fritsche-Neto, R., De los Campos, G.
مصطلحات موضوعية: Bayesian models, Genomic prediction, Hybrid prediction, Convergent populations, Tropical maize, BGLR, Semi-parametric models, RKHS, Dominance, Epistasis, Non-additive effects, Specific combining ability, Nitrogen, Stress
وصف الملف: application/pdf
العلاقة: https://repository.rothamsted.ac.uk/download/5acb3ed909abcd2a9cb3fd6c6fa5f62c0b2a351311363527765526662099c0d0/8187769/Alves_et_al-2019-Plant_Methods.pdfTest; https://doi.org/10.1186/s13007-019-0388-xTest; Alves, F. C., Granato, I. S. C., Galli, g, Lyra, D. H., Fritsche-Neto, R. and De los Campos, G. 2019. Bayesian analysis and prediction of hybrid performance. Plant Methods. 15, p. 14. https://doi.org/10.1186/s13007-019-0388-xTest
الإتاحة: https://doi.org/10.1186/s13007-019-0388-xTest
https://repository.rothamsted.ac.uk/item/8wq2w/bayesian-analysis-and-prediction-of-hybrid-performanceTest
https://repository.rothamsted.ac.uk/download/5acb3ed909abcd2a9cb3fd6c6fa5f62c0b2a351311363527765526662099c0d0/8187769/Alves_et_al-2019-Plant_Methods.pdfTest -
3دورية أكاديمية
المؤلفون: Alves, F. C., Granato, I. S. C., Galli, g, Lyra, D. H., Fritsche-Neto, R., De los Campos, G.
مصطلحات موضوعية: Bayesian models, Genomic prediction, Hybrid prediction, Convergent populations, Tropical maize, BGLR, Semi-parametric models, RKHS, Dominance, Epistasis, Non-additive effects, Specific combining ability, Nitrogen, Stress, envir
العلاقة: https://repository.rothamsted.ac.uk/download/5acb3ed909abcd2a9cb3fd6c6fa5f62c0b2a351311363527765526662099c0d0/8187769/Alves_et_al-2019-Plant_Methods.pdfTest; https://repository.rothamsted.ac.uk/item/8wq2w/bayesian-analysis-and-prediction-of-hybrid-performanceTest
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4دورية أكاديمية
المؤلفون: Lyra, D. H., Galli, G., Alves, F. C., Granato, I. S. C., Vidotti, M. S., Sousa, M. B., Morosini, J. S., Crossa, J., Fritsche-Neto, R.
العلاقة: https://doi.org/10.1007/s00122-018-3215-2Test; Lyra, D. H., Galli, G., Alves, F. C., Granato, I. S. C., Vidotti, M. S., Sousa, M. B., Morosini, J. S., Crossa, J. and Fritsche-Neto, R. 2019. Modeling copy number variation in the genomic prediction of maize hybrids. Theoretical and Applied Genetics. 132, pp. 273-288. https://doi.org/10.1007/s00122-018-3215-2Test
الإتاحة: https://doi.org/10.1007/s00122-018-3215-2Test
https://repository.rothamsted.ac.uk/item/8wq2q/modeling-copy-number-variation-in-the-genomic-prediction-of-maize-hybridsTest -
5دورية أكاديمية
المؤلفون: Vidotti, M. S., Lyra, D. H., Morosini, J. S., Granato, I. S. C., Quecine, M. C., Azevedo, J. L., Fritsche-Neto, R.
وصف الملف: application/pdf
العلاقة: https://repository.rothamsted.ac.uk/download/1472a77d25ffdc13acbb1c40672696f2cfefab34398ff913e19bafbe108ef2de/5571847/journal.pone.0222788.pdfTest; https://doi.org/10.1371/journal.pone.0222788Test; Vidotti, M. S., Lyra, D. H., Morosini, J. S., Granato, I. S. C., Quecine, M. C., Azevedo, J. L. and Fritsche-Neto, R. 2019. Additive and heterozygous (dis)advantage GWAS models reveal candidate genes involved in the genotypic variation of maize hybrids to Azospirillum brasilense . PLOS ONE. 14 (9), p. e0222788. https://doi.org/10.1371/journal.pone.0222788Test
الإتاحة: https://doi.org/10.1371/journal.pone.0222788Test
https://repository.rothamsted.ac.uk/item/97w7z/additive-and-heterozygous-dis-advantage-gwas-models-reveal-candidate-genes-involved-in-the-genotypic-variation-of-maize-hybrids-to-azospirillum-brasilenseTest
https://repository.rothamsted.ac.uk/download/1472a77d25ffdc13acbb1c40672696f2cfefab34398ff913e19bafbe108ef2de/5571847/journal.pone.0222788.pdfTest -
6دورية أكاديمية
المؤلفون: Galli, G, Lyra, D. H., Alves, F. C, Granato, I. S. C., Bandeira-Sousa, M., Fritsche-Neto, R
العلاقة: https://doi.org/10.2135/cropsci2017.07.0459Test; Galli, G, Lyra, D. H., Alves, F. C, Granato, I. S. C., Bandeira-Sousa, M. and Fritsche-Neto, R 2018. Impact of Phenotypic Correction Method and Missing Phenotypic Data on Genomic Prediction of Maize Hybrids. Crop Science. 58 (4), pp. 1481-1491. https://doi.org/10.2135/cropsci2017.07.0459Test
الإتاحة: https://doi.org/10.2135/cropsci2017.07.0459Test
https://repository.rothamsted.ac.uk/item/84892/impact-of-phenotypic-correction-method-and-missing-phenotypic-data-on-genomic-prediction-of-maize-hybridsTest -
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