PGT_2024v15n2

Plant Gene and Trait 2024, Vol.15, No.2, 85-96 http://genbreedpublisher.com/index.php/pgt 95 Chen H., Zhai L., Chen K., Shen C., Zhu S., Qu P., Tang J., Liu J., He H., and Xu J., 2022, Genetic background- and environment-independent QTL and candidate gene identification of appearance quality in three MAGIC populations of rice, Frontiers in Plant Science, 13: 1074106. https://doi.org/10.3389/fpls.2022.1074106 PMid:36438096 PMCid:PMC9697191 Chen L., Gao W., Chen S., Wang L., Zou J., Liu Y., Wang H., Chen Z., and Guo T., 2016, High-resolution QTL mapping for grain appearance traits and co-localization of chalkiness-associated differentially expressed candidate genes in rice, Rice, 9: 48. https://doi.org/10.1186/s12284-016-0121-6 PMid:27659284 PMCid:PMC5033801 Chen Y., Wang M., and Ouwerkerk P., 2012, Molecular and environmental factors determining grain quality in rice, Food and Energy Security, 1(2): 111-132. Das P., Adak S., and Majumder A., 2020, Genetic manipulation for improved nutritional quality in rice, Frontiers in Genetics, 11: 776. https://doi.org/10.3389/fgene.2020.00776 PMid:32793287 PMCid:PMC7393646 Dong Q., Zhang Z., Wang L., Zhu Y., Fan Y., Mou T., Ma L., and Zhuang J., 2018, Dissection and fine-mapping of two QTL for grain size linked in a 460-kb region on chromosome 1 of rice, Rice, 11: 44. https://doi.org/10.1186/s12284-018-0236-z PMid:30073424 PMCid:PMC6081826 Hu J., Wang Y., Fang Y., Zeng L., Xu J., Yu H., Shi Z., Pan J., Zhang D., Kang S., Zhu L., Dong G., Guo L., Zeng D., Zhang G., Xie L., Xiong G., Li J., and Qian Q., 2015, A rare allele of GS2 enhances grain size and grain yield in rice, Molecular Plant, 8(10): 1455-1465. https://doi.org/10.1016/j.molp.2015.07.002 PMid:26187814 Jin S., Xu L., Yang Q., Zhang M., Wang S., Wang R., Tao T., Hong L., Guo Q., Jia S., Song T., Leng Y., Cai X., and Gao J., 2023, High-resolution quantitative trait locus mapping for rice grain quality traits using genotyping by sequencing, Frontiers in Plant Science, 13: 1050882. https://doi.org/10.3389/fpls.2022.1050882 PMid:36714703 PMCid:PMC9878556 Kinoshita N., Kato M., Koyasaki K., Kawashima T., Nishimura T., Hirayama Y., Takamure I., Sato T., and Kato K., 2017, Identification of quantitative trait loci for rice grain quality and yield-related traits in two closely related Oryza sativa L. subsp. japonica cultivars grown near the northernmost limit for rice paddy cultivation, Breeding Science, 67(3): 191-206. https://doi.org/10.1270/jsbbs.16155 PMid:28744172 PMCid:PMC5515307 Mazumder A., Rohilla M., Bisht D., Krishnamurthy S., Barman M., Sarma R., Sharma T., and Mondal T., 2020, Identification and mapping of quantitative trait loci (QTL) and epistatic QTL for salinity tolerance at seedling stage in traditional aromatic short grain rice landrace Kolajoha (Oryza sativa L.) of Assam, India, Euphytica, 216: 75. Nawaz Z., Kakar K., Li X., Li S., Zhang B., Shou H., and Shu Q., 2015, Genome-wide association mapping of quantitative trait loci (QTLs) for contents of eight elements in brown rice (Oryza sativa L.), Journal of Agricultural and Food Chemistry, 63(36): 8008-8016. https://doi.org/10.1021/acs.jafc.5b01191 PMid:26317332 Qiu X., Pang Y., Yuan Z., Xing D., Xu J., Dingkuhn M., Li Z., and Ye G., 2015, Genome-wide association study of grain appearance and milling quality in a worldwide collection of Indica rice germplasm, PLoS One, 10(12): e0145577. https://doi.org/10.1371/journal.pone.0145577 PMid:26714258 PMCid:PMC4694703 Rahimsoroush H., Nazarian-Firouzabadi F., Chaloshtari M., Ismaili A., and Ebadi A., 2021, Identification of main and epistatic QTLs and QTL through environment interactions for eating and cooking quality in Iranian rice, Euphytica, 217: 25. https://doi.org/10.1007/s10681-020-02759-8 Raza Q., Ri̇az A., Sabar M., Atif R., and Bashir K., 2019, Meta-analysis of grain iron and zinc associated QTLs identified hotspot chromosomal regions and positional candidate genes for breeding biofortified rice, Plant Science, 288: 110214. https://doi.org/10.1016/j.plantsci.2019.110214 PMid:31521222 Selamat N., and Nadarajah K., 2021, Meta-analysis of quantitative traits loci (QTL) identified in drought response in rice (Oryza sativa L.), Plants, 10(4): 716. https://doi.org/10.3390/plants10040716 PMid:33917162 PMCid:PMC8067883 Shariatipour N., Heidari B., Tahmasebi A., and Richards C., 2021, Comparative genomic analysis of quantitative trait loci associated with micronutrient contents, grain quality, and agronomic traits in wheat (Triticum aestivumL.), Frontiers in Plant Science, 12: 709817. https://doi.org/10.3389/fpls.2021.709817 PMid:34712248 PMCid:PMC8546302 Sharma M., Gangurde S., Salgotra R., Kumar B., Singh A., and Pandey M., 2021, Genetic mapping for grain quality and yield-attributed traits in Basmati rice using SSR-based genetic map, Journal of Biosciences, 46: 50. https://doi.org/10.1007/s12038-021-00169-z PMid:34148873

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