PGT_2026v17n4

Plant Gene and Trait 2026, Vol.17, No.4, 235-244 http://genbreedpublisher.com/index.php/pgt 2 44 Parmley K., Higgins R., Ganapathysubramanian B., Sarkar S., and Singh A., 2019, Machine learning approach for prescriptive plant breeding, Scientific Reports, 9: 17132. https://doi.org/10.1038/s41598-019-53451-4 Peng Y., Wang L., Jacinthe P., and Ren W., 2024, Global synthesis of cover crop impacts on main crop yield, Field Crops Research, 310: 109343. https://doi.org/10.1016/j.fcr.2024.109343 Ren H., Han K., Liu Y., Zhao Y., Zhang L., He Q., Li Z., Zhang J., Liu P., Wang H., Zhang J., and Zhao B., 2020, Improving smallholder farmers’ maize yields and economic benefits under sustainable crop intensification in the North China Plain, The Science of the Total Environment, 763: 143035. https://doi.org/10.1016/j.scitotenv.2020.143035 Sun J., Tian P., Li Z., Wang X., Zhang H., Chen J., and Qian Y., 2025, Construction and optimization of integrated yield prediction model based on phenotypic characteristics of rice grown in small-scale plantations, Agriculture, 15(2): 181. https://doi.org/10.3390/agriculture15020181 Sun Z., Li Q., Jin S., Song Y., Xu S., Wang X., Cai J., Zhou Q., Ge Y., Zhang R., Zang J., and Jiang D., 2022, Simultaneous prediction of wheat yield and grain protein content using multitask deep learning from time-series proximal sensing, Plant Phenomics, 2022: 9757948. https://doi.org/10.34133/2022/9757948 Szeląg-Sikora A., Sikora J., Niemiec M., Gródek-Szostak Z., Kapusta-Duch J., Kuboń M., Komorowska M., and Karcz J., 2019, Impact of integrated and conventional plant production on selected soil parameters in carrot production, Sustainability, 11(20): 5612. https://doi.org/10.3390/su11205612 Tan B.T., Li M.J., Xu Y.X., and Zhang H.X., 2012, The introduction and cultivation technology of Citrus changshan-huyou and its adaptability analysis, Hunan Forestry Science & Technology, 39(2): 72-74. Yan H., Harrison M., Liu K., Wang B., Feng P., Fahad S., Meinke H., Yang R., Liu D., Archontoulis S., Huber I., Tian X., Man J., Zhang Y., and Zhou M., 2021, Crop traits enabling yield gains under more frequent extreme climatic events, The Science of the Total Environment, 808: 152170. https://doi.org/10.1016/j.scitotenv.2021.152170 Yang S., Zhao Y., Xu Y., Cui J., Li T., Hu Y., Qian X., Li Z., Sui P., and Chen Y., 2024, Yield performance response to field configuration of maize and soybean intercropping in China: a meta-analysis, Field Crops Research, 306: 109235. https://doi.org/10.1016/j.fcr.2023.109235 Yoosefzadeh-Najafabadi M., Tulpan D., and Eskandari M., 2021, Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits, PLoS One, 16(4): e0250665. https://doi.org/10.1371/journal.pone.0250665 Yu L.P., Li Z.Z., Jin Z.F., Li R.Z., and Huang J.F., 2012, Ecological adaptability of Huyou planting in Quzhou, Zhejiang Province of East China, Chinese Journal of Ecology, 31(11): 2762. Zhang J., Sun C., Yan Y., Chen Q., Luo F., Zhu X., Li X., and Chen K., 2012, Purification of naringin and neohesperidin from Huyou (Citrus changshanensis) fruit and their effects on glucose consumption in human HepG2 cells, Food chemistry, 135(3): 1471-1478. https://doi.org/10.1016/j.foodchem.2012.06.004 Zhang L., Zhang Z., Luo Y., Cao J., and Li Z., 2020, Optimizing genotype-environment-management interactions for maize farmers to adapt to climate change in different agro-ecological zones across China, The Science of the Total Environment, 728: 138614. https://doi.org/10.1016/j.scitotenv.2020.138614 Zhang L., Zhang Z., Luo Y., Cao J., Xie R., and Li S., 2021, Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning, Agricultural and Forest Meteorology, 311: 108666. https://doi.org/10.1016/j.agrformet.2021.108666 Zhao J., Yang Y., Zhang K., Jeong J., Zeng Z., and Zang H., 2020, Does crop rotation yield more in China, a meta-analysis, Field Crops Research, 245: 107659. https://doi.org/10.1016/j.fcr.2019.107659 Zhong S.M., 2004, The status and tendency of research in Citrus changshan-huyou, Economic Forest Researches, 1: 64-67.

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