IJMEC_2026v16n1

International Journal of Molecular Ecology and Conservation, 2026, Vol.16, No.1, 13-21 http://ecoevopublisher.com/index.php/ijmec 20 Chen G.B., 2014, Estimating heritability of complex traits from genome-wide association studies using IBS-based Haseman-Elston regression, Front. Genet., 5: 107. https://doi.org/10.3389/fgene.2014.00107 Chen G.B., 2016, On the reconciliation of missing heritability for genome-wide association studies, Eur. J. Hum. Genet., 24(12): 1810-1816. https://doi.org/10.1038/ejhg.2016.89 Fang X.J., Wu W.R., and Tang J.L. (eds.), 2001, Crop DNA marker-assisted breeding, Science Press, Beijing, China, pp. 1-84. Feingold E., 2002, Regression-based quantitative-trait-locus mapping in the 21st century, Am. J. Hum. Genet., 71(2): 217-222. https://doi.org/10.1086/341964 Gallagher M.D., and Chen-Plotkin A.S., 2018, The post-GWAS era: From association to function, Am. J. Hum. Genet., 102(5): 717-730. https://doi.org/10.1016/j.ajhg.2018.04.002 He J., Meng S., Zhao T., Xing G., Yang S., Li Y., Guan R., Lu J., Wang Y., Xia Q., Yang B., and Gai J., 2017, An innovative procedure of genome-wide association analysis fits studies on germplasm population and plant breeding, Theor. Appl. Genet., 130(12): 2327-2343. https://doi.org/10.1007/s00122-017-2962-9 Ibrahim A., Zhang L., Niyitanga S., Afzal M., Xu Y., Zhang L., Zhang L., and Qi J., 2020, Principles and approaches of association mapping in plant breeding, Trop. Plant Biol., 13(1): 212-224. https://doi.org/10.1007/s12042-020-09261-4 Jeong M., Pazokitoroudi A., Liu Z., and Sankararaman S., 2024, Scalable summary-statistics-based heritability estimation method with individual genotype level accuracy, Genome Res., 34(7): 1286-1293. https://doi.org/10.1101/gr.279207.124 Kushanov F., Turaev O., Ernazarova D., Gapparov B., Oripova B., Kudratova M., Rafieva F., Khalikov K., Erjigitov D., Khidirov M., Kholova M., Khusenov N., Amanboyeva R., Saha S., Yu J., and Abdurakhmonov I., 2021, Genetic diversity, QTL mapping, and marker-assisted selection technology in cotton (Gossypium spp.), Front. Plant Sci., 12: 779386. https://doi.org/10.3389/fpls.2021.779386 Li C., Li Y., Bradbury P., Wu X., Shi Y., Song Y., Zhang D., Rodgers-Melnick E., Buckler E., Zhang Z., Li Y., and Wang T., 2015, Construction of high-quality recombination maps with low-coverage genomic sequencing for joint linkage analysis in maize, BMC Biol., 13: 78. https://doi.org/10.1186/s12915-015-0187-4 Liu H., and Chen G., 2022, A novel genomic prediction method combining randomized Haseman-Elston regression with a modified algorithm for Proven and Young for large genomic data, Crop J., 10(2): 550-554. https://doi.org/10.1016/j.cj.2021.09.001 Marigorta U.M., Rodríguez J.A., Gibson G., and Navarro A., 2018, Replicability and prediction: Lessons and challenges from GWAS, Trends Genet., 34(7): 504-517. https://doi.org/10.1016/j.tig.2018.03.005 Mei B., and Wang Z., 2016, An efficient method to handle the 'large p, small n'problem for genomewide association studies using Haseman-Elston regression, J. Genet., 95 (4): 847-852. https://doi.org/10.1007/s12041-016-0705-3 Meng L., Li H., Zhang L., and Wang J., 2015, QTL IciMapping: Integrated software for genetic linkage map construction and quantitative trait locus mapping in biparental populations, Crop J., 3(3): 269-283. https://doi.org/10.1016/j.cj.2015.01.001 Nandi S., Varotariya K., Luhana S., Kyada A., Saha A., Roy N., Sharma N., and Rambabu D., 2024, GWAS for identification of genomic regions and candidate genes in vegetable crops, Funct. Integr. Genomics, 24(6): 203. https://doi.org/10.1007/s10142-024-01477-x Pasaniuc B., and Price A.L., 2016, Dissecting the genetics of complex traits using summary association statistics, Nat. Rev. Genet., 18(2): 117-127. https://doi.org/10.1038/nrg.2016.142 Pflieger S., Lefebvre V., and Causse M., 2001, The candidate gene approach in plant genetics: A review, Mol. Breed., 7(4): 275-291. https://doi.org/10.1023/A:1011605013259 Qu P., Shi J., Chen T., Chen K., Shen C., Wang J., Zhao X., Ye G., Xu J., and Zhang L., 2020, Construction and integration of genetic linkage maps from three multi-parent advanced generation inter-cross populations in rice, Rice, 13(1): 13. https://doi.org/10.1186/s12284-020-0373-z Raj S., and Nadarajah K., 2022, QTL and candidate genes: Techniques and advancement in abiotic stress resistance breeding of major cereals, Int. J. Mol. Sci., 24(1): 6. https://doi.org/10.3390/ijms24010006 Sebastiani P., Timofeev N., Dworkis D., Perls T.T., and Steinberg M.H., 2009, Genome‐wide association studies and the genetic dissection of complex traits, Am. J. Hematol., 84(8): 504-515. https://doi.org/10.1002/ajh.21440 Sham P.C., and Purcell S., 2001, Equivalence between Haseman-Elston and variance-components linkage analyses for sib pairs, Am. J. Hum. Genet., 68(6): 1527-1532. https://doi.org/10.1086/320593

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