Plant Gene and Trait 2025, Vol.16, No.3, 104-112 http://genbreedpublisher.com/index.php/pgt 111 Guo L., and Ye G., 2014, Use of major quantitative trait loci to improve grain yield of rice, Rice Science, 21: 65-82. https://doi.org/10.1016/S1672-6308(13)60174-2 Guo Y., Fu Y., Hao F., Zhang X., Wu W., Jin X., Bryant C., and Senthilnath J., 2021, Integrated phenology and climate in rice yields prediction using machine learning methods, Ecological Indicators, 120: 106935. https://doi.org/10.1016/j.ecolind.2020.106935 Horie T., Shiraiwa T., Homma K., Katsura K., Maeda S., and Yoshida H., 2005, Can yields of lowland rice resume the increases that they showed in the 1980s, Plant Production Science, 8: 259-274. https://doi.org/10.1626/pps.8.259 Huang M., Zhou X., Cao F., Xia B., and Zou Y., 2015, No-tillage effect on rice yield in China: a study, Field Crops Research, 183: 126-137. https://doi.org/10.1016/j.fcr.2015.07.022 Huang S., Zeng Y., Wu J., Shi Q., and Pan X., 2013, Effect of crop residue retention on rice yield in China: a study, Field Crops Research, 154: 188-194. https://doi.org/10.1016/j.fcr.2013.08.013 Iqbal Z., Iqbal M., Khan M., and Ansari M., 2021, Toward integrated multi-omics intervention: rice trait improvement and stress management, Frontiers in Plant Science, 12: 741419. https://doi.org/10.3389/fpls.2021.741419 Juma R., Bartholomé J., Prakash P., Hussain W., Platten J., Lopena V., Verdeprado H., Murori R., Ndayiragije A., Katiyar S., Islam M., Biswas P., Rutkoski J., Arbelaez J., Mbute F., Miano D., and Cobb J., 2021, Identification of an elite core panel as a key breeding resource to accelerate the rate of genetic improvement for irrigated rice, Rice, 14: 92. https://doi.org/10.1186/s12284-021-00533-5 Kassam A., Stoop W., and Uphoff N., 2011, Review of SRI modifications in rice crop and water management and research issues for making further improvements in agricultural and water productivity, Paddy and Water Environment, 9: 163-180. https://doi.org/10.1007/s10333-011-0259-1 Khahani B., Tavakol E., Shariati V., and Rossini L., 2021, Meta-QTL and ortho-MQTL analyses identified genomic regions controlling rice yield, yield-related traits and root architecture under water deficit conditions, Scientific Reports, 11: 6942. https://doi.org/10.1038/s41598-021-86259-2 Khush G., 2013, Strategies for increasing the yield potential of cereals: case of rice as an example, Plant Breeding, 132: 433-436. https://doi.org/10.1111/PBR.1991 Ladha J., Radanielson A., Rutkoski J., Buresh R., Dobermann A., Angeles O., Pabuayon I., Santos-Medellín C., Fritsche‐Neto R., Chivenge P., and Kohli A., 2021, Steady agronomic and genetic interventions are essential for sustaining productivity in intensive rice cropping, Proceedings of the National Academy of Sciences of the United States of America, 118(45): e2110807118. https://doi.org/10.1073/pnas.2110807118 Li J., Zhang H., Zhu Q., Xia Y.B., Duan Z.L., Wen J.C., and Chen L.J., 2024, Tailor-made rice: using haplotype analysis to design high-yielding varieties, Molecular Plant Breeding, 15(5): 295-307. https://doi.org/10.5376/mpb.2024.15.0028 Long S., 2014, We need winners in the race to increase photosynthesis in rice, whether from conventional breeding, biotechnology or both, Plant, Cell and Environment, 37(1): 19-21. https://doi.org/10.1111/pce.12193 Majumder S., Gogoi P., and Deka N., 2019, System of rice intensification (SRI): an innovative and remunerative method of rice cultivation in Tripura, India, Indian Journal of Agricultural Research, 53(4): 504-507. https://doi.org/10.18805/IJARE.A-5224 Nutan K., Rathore R., Tripathi A., Mishra M., Pareek A., and Singla-Pareek S., 2020, Integrating dynamics of yield traits in rice responding to environmental changes, Journal of Experimental Botany, 71(2): 490-506. https://doi.org/10.1093/jxb/erz364 Sarala A., and Chellappan M., 2011, Comparison of the system of rice intensification (SRI), recommended practices, and farmers’ methods of rice (Oryza sativa L.) production in the humid tropics of Kerala, India, Journal of Tropical Agriculture, 49: 64-71. Satyanarayana A., Thiyagarajan T., and Uphoff N., 2006, Opportunities for water saving with higher yield from the system of rice intensification, Irrigation Science, 25: 99-115. https://doi.org/10.1007/s00271-006-0038-8 Sinha S., and Talati J., 2007, Productivity impacts of the system of rice intensification (SRI): a case study in West Bengal, India, Agricultural Water Management, 87: 55-60. https://doi.org/10.1016/j.agwat.2006.06.009 Stoop W., Uphoff N., and Kassam A., 2002, A review of agricultural research issues raised by the system of rice intensification (SRI) from Madagascar: opportunities for improving farming systems for resource-poor farmers, Agricultural Systems, 71: 249-274. https://doi.org/10.1016/S0308-521X(01)00070-1 Su J., Xu K., Li Z., Hu Y., Hu Z., Zheng X., Song S., Tang Z., and Li L., 2021, Genome-wide association study and Mendelian randomization analysis provide insights for improving rice yield potential, Scientific Reports, 11: 6894. https://doi.org/10.1038/s41598-021-86389-7
RkJQdWJsaXNoZXIy MjQ4ODYzNA==