MPB_2024v15n5

Molecular Plant Breeding 2024, Vol.15, No.5, 247-258 http://genbreedpublisher.com/index.php/mpb 257 Heffner E., Sorrells M., and Jannink J., 2009, Genomic selection for crop improvement, Crop Science, 49(1): 1-12. https://doi.org/10.2135/CROPSCI2008.08.0512 Jin C., Li Z., Li Y., Wang S., Li L., and Liu M., 2020, Update of genetic linkage map and QTL analysis for growth traits in Eucommia ulmoides Oliver, Forests, 11(3): 311. https://doi.org/10.3390/f11030311 Li H., Su G., Jiang L., and Bao Z., 2017, An efficient unified model for genome-wide association studies and genomic selection, Genetics Selection Evolution, 49: 64. https://doi.org/10.1186/s12711-017-0338-x Li Y., Wang D., Li Z., Wei J., Jin C., and Liu M., 2014, A molecular genetic linkage map of Eucommia ulmoides and quantitative trait loci (QTL) analysis for growth traits, International Journal of Molecular Sciences, 15: 2053-2074. https://doi.org/10.3390/ijms15022053 Li Y., Wei J., Li Z., Lei A., and Liu M., 2015, Quantitative trait locus analysis of leaf morphological characters, yield-related traits, and secondary metabolite contents in Eucommia ulmoides, Genetics and Molecular Research, 14(4): 17871-17884. https://doi.org/10.4238/2015.December.22.12 Li Z., and Sillanpää M., 2012, Overview of LASSO-related penalized regression methods for quantitative trait mapping and genomic selection, Theoretical and Applied Genetics, 125: 419-435. https://doi.org/10.1007/s00122-012-1892-9 Liu C., Wang L., Lu W., Zhong J., Du H., Liu P., Du Q., Du L., and Qing J., 2022, Construction of SNP-based high-density genetic map using genotyping by sequencing (GBS) and QTL analysis of growth traits in Eucommia ulmoides Oliver, Forests, 13(9): 1479. https://doi.org/10.3390/f13091479 Merrick L., Herr A., Sandhu K., Lozada D., and Carter A., 2022, Optimizing plant breeding programs for genomic selection, Agronomy, 12(3): 714. https://doi.org/10.3390/agronomy12030714 Meuwissen T., Berg I., and Goddard M., 2021, On the use of whole-genome sequence data for across-breed genomic prediction and fine-scale mapping of QTL, Genetics Selection Evolution, 53: 19. https://doi.org/10.1186/s12711-021-00607-4 Mora J., Micheletti D., Bink M., Weg E., Cantín C., Nazzicari N., Caprera A., Dettori M., Micali S., Banchi E., Campoy J., Dirlewanger E., Lambert P., Pascal T., Troggio M., Bassi D., Rossini L., Verde I., Quilot-Turion B., Laurens F., Arús P., and Aranzana M., 2017, Integrated QTL detection for key breeding traits in multiple peach progenies, BMC Genomics, 18: 404. https://doi.org/10.1186/s12864-017-3783-6 Rabier C., Barre P., Asp T., Charmet G., and Mangin B., 2016, On the accuracy of genomic selection, PLoS One, 11(6): e0156086. https://doi.org/10.1371/journal.pone.0156086 Resende M., Resende M., Sansaloni C., Petroli C., Missiaggia A., Aguiar A., Abad J., Takahashi E., Rosado A., Faria D., Pappas G., Kilian A., and Grattapaglia D., 2012, Genomic selection for growth and wood quality in Eucalyptus: capturing the missing heritability and accelerating breeding for complex traits in forest trees, The New Phytologist, 194(1): 116-128. https://doi.org/10.1111/j.1469-8137.2011.04038.x Takagi H., Abe A., Yoshida K., Kosugi S., Natsume S., Mitsuoka C., Uemura A., Utsushi H., Tamiru M., Takuno S., Innan H., Cano L., Kamoun S., and Terauchi R., 2013, QTL-seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations, The Plant Journal, 74(1): 174-183. https://doi.org/10.1111/tpj.12105 Wang C., Gong H., Feng M., and Tian C., 2023, Phenotypic variation in leaf, fruit and seed traits in natural populations of Eucommia ulmoides, a relict Chinese endemic tree, Forests, 14(3): 462. https://doi.org/10.3390/f14030462 Wang D., Li Y., Li L., Wei Y., and Li Z., 2014, The first genetic linkage map of Eucommia ulmoides, J. Genet., 93: 13-20. https://doi.org/10.1007/s12041-014-0322-y Wang W., Yang G., Deng X., Shao F., Li Y., Guo W., Liang H., and Zhang X., 2020, Molecular sex identification in the hardy rubber tree (Eucommia ulmoides Oliver) via ddRAD markers, International Journal of Genomics, 1: 2420976. https://doi.org/10.1155/2020/2420976 Wang X., Yang Z., and Xu C., 2015, A comparison of genomic selection methods for breeding value prediction, Science Bulletin, 60: 925-935. https://doi.org/10.1007/S11434-015-0791-2 Wimmer V., Lehermeier C., Albrecht T., Auinger H., Wang Y., and Schön C., 2013, Genome-wide prediction of traits with different genetic architecture through efficient variable selection, Genetics, 195: 573-587. https://doi.org/10.1534/genetics.113.150078

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