Genomics and Applied Biology 2024, Vol.15, No.6, 307-319 http://bioscipublisher.com/index.php/gab 319 Norman A., Taylor J., Edwards J., and Kuchel H., 2018, Optimising genomic selection in wheat: effect of marker density, population size and population structure on prediction accuracy, G3: Genes|Genomes|Genetics, 8: 2889-2899. https://doi.org/10.1534/g3.118.200311 Norman P., Agre P., Asiedu R., and Asfaw A., 2022, Multiple-traits selection in white guinea yam (Dioscorea rotundata) genotypes, Plants, 11: 3003. https://doi.org/10.3390/plants11213003 Oakey H., Cullis B., Thompson R., Comadran J., Halpin C., and Waugh R., 2016, Genomic selection in multi-environment crop trials, G3: Genes|Genomes|Genetics, 6(5): 1313-1326. https://doi.org/10.1534/g3.116.027524 O'Connor K., Hayes B., Hardner C., Alam M., Henry R., and Topp B., 2021, Genomic selection and genetic gain for nut yield in an australian macadamia breeding population, BMC Genomics, 22: 370. https://doi.org/10.1186/s12864-021-07694-z Reyna M., Grondona D., and Jarquín D., 2021, Development of a genomic prediction pipeline for maintaining comparable sample sizes in training and testing sets across prediction schemes accounting for the genotype-by-environment interaction, Agriculture, 11(10): 932. https://doi.org/10.3390/agriculture11100932 Sandhu K., Lozada D.N., Zhang Z., Pumphrey M., and Carter A., 2021, Deep learning for predicting complex traits in spring wheat breeding program, Frontiers in Plant Science, 11: 613325. https://doi.org/10.3389/fpls.2020.613325 Saski C., Bhattacharjee R., Scheffler B., and Asiedu R., 2015, Genomic resources for water yam (Dioscorea alata L.): analyses of EST-sequences, de novo sequencing and GBS libraries, PLoS ONE, 10(7): e0134031. https://doi.org/10.1371/journal.pone.0134031 Solberg T., Sonesson A., Woolliams J., and Meuwissen T., 2008, Genomic selection using different marker types and densities, Journal of Animal Science, 86(10): 2447-2454. https://doi.org/10.2527/jas.2007-0010 Tamiru M., Natsume S., Takagi H., White B., Yaegashi H., Shimizu M., Yoshida K., Uemura A., Oikawa K., Abe A., Urasaki N., Matsumura H., Babil P., Yamanaka S., Matsumoto R., Muranaka S., Girma G., Lopez-Montes A., Gedil M., and Terauchi R., 2017, Genome sequencing of the staple food crop white guinea yam enables the development of a molecular marker for sex determination, BMC Biology, 15(1): 86. https://doi.org/10.1186/s12915-017-0419-x Wang W., 2024, The role of isoenzymatic variation in delineating phylogenetic relationships within Zea genus, Maize Genomics and Genetics, 15(1): 25-33. https://doi.org/10.5376/mgg.2024.15.0004 Watson A., Hickey L., Christopher J., Rutkoski J., Poland J., and Hayes B., 2019, Integrating genomic selection and speed breeding to increase genetic gain in spring wheat, Crop Science. https://doi.org/10.2135/CROPSCI2018.12.0757 Xu Y., Liu X., Fu J., Wang H., Wang J., Huang C., Prasanna B., Olsen M., Wang G., and Zhang A., 2019, Enhancing genetic gain through genomic selection: from livestock to plants, Plant Communications, 1: 100005. https://doi.org/10.1016/j.xplc.2019.100005 Zhao W., Lai X., Liu D., Zhang Z., Ma P., Wang Q., Zhang Z., Pan Y., 2020, Applications of support vector machine in genomic prediction in pig and maize populations, Frontiers in Genetics, 11: 598318. https://doi.org/10.3389/fgene.2020.598318
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