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2025 Journal Article Soil with high plant available water capacity can mitigate the risk of wheat growth under drought conditions in southeastern AustraliaXiang, Keyu, Wang, Bin, Liu, De Li, Chen, Chao, Ji, Fei, Yang, Yanmin, Li, Siyi, Huang, Mingxia, Huete, Alfredo and Yu, Qiang (2025). Soil with high plant available water capacity can mitigate the risk of wheat growth under drought conditions in southeastern Australia. European Journal of Agronomy, 164 127460, 1-13. doi: 10.1016/j.eja.2024.127460 |
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2025 Journal Article Assessing the impact of climate variability on Australia’s sugarcane yield in 1980–2022Yao, Shijin, Wang, Bin, Liu, De Li, Li, Siyi, Ruan, Hongyan and Yu, Qiang (2025). Assessing the impact of climate variability on Australia’s sugarcane yield in 1980–2022. European Journal of Agronomy, 164 127519, 127519. doi: 10.1016/j.eja.2025.127519 |
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2024 Journal Article Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?Li, Siyi, Wang, Bin, Liu, De Li, Chen, Chao, Feng, Puyu, Huang, Mingxia, Wang, Xiaofang, Shi, Lijie, Waters, Cathy, Huete, Alfredo and Yu, Qiang (2024). Can agronomic options alleviate the risk of compound drought-heat events during the wheat flowering period in southeastern Australia?. European Journal of Agronomy, 153 127030, 1-15. doi: 10.1016/j.eja.2023.127030 |
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2022 Journal Article Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in ChinaHuang, Mingxia, Wang, Jing, Wang, Bin, Liu, De Li, Feng, Puyu, Yu, Qiang, Pan, Xuebiao, Li, Siyi and Jiang, Tengcong (2022). Dominant sources of uncertainty in simulating maize adaptation under future climate scenarios in China. Agricultural Systems, 199 103411, 1-9. doi: 10.1016/j.agsy.2022.103411 |
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2022 Journal Article Developing machine learning models with multi-source environmental data to predict wheat yield in ChinaLi, Linchao, Wang, Bin, Feng, Puyu, Li Liu, De, He, Qinsi, Zhang, Yajie, Wang, Yakai, Li, Siyi, Lu, Xiaoliang, Yue, Chao, Li, Yi, He, Jianqiang, Feng, Hao, Yang, Guijun and Yu, Qiang (2022). Developing machine learning models with multi-source environmental data to predict wheat yield in China. Computers and Electronics in Agriculture, 194 106790, 1-12. doi: 10.1016/j.compag.2022.106790 |
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2022 Journal Article Assessing climate vulnerability of historical wheat yield in south-eastern Australia's wheat beltLi, Siyi, Wang, Bin, Feng, Puyu, Liu, De Li, Li, Linchao, Shi, Lijie and Yu, Qiang (2022). Assessing climate vulnerability of historical wheat yield in south-eastern Australia's wheat belt. Agricultural Systems, 196 103340, 1-14. doi: 10.1016/j.agsy.2021.103340 |
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2018 Journal Article Effects of different mulching technologies on evapotranspiration and summer maize growthLi, Siyi, Li, Yi, Lin, Haixia, Feng, Hao and Dyck, Miles (2018). Effects of different mulching technologies on evapotranspiration and summer maize growth. Agricultural Water Management, 201, 309-318. doi: 10.1016/j.agwat.2017.10.025 |
