• Acta Geographica Sinica
  • Vol. 75, Issue 9, 1879 (2020)
Juan CAO1, Zhao ZHANG1、*, Liangliang ZHANG1, Yuchuan LUO1, Ziyue LI1, and Fulu TAO2
Author Affiliations
  • 1State Key Laboratory of Earth Surface Processes and Resource Ecology/MEM & MoE Key Laboratory of Environmental Change and Natural Hazards, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • 2Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Resources Research, CAS, Beijing 100101, China
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    DOI: 10.11821/dlxb202009005 Cite this Article
    Juan CAO, Zhao ZHANG, Liangliang ZHANG, Yuchuan LUO, Ziyue LI, Fulu TAO. Damage evaluation on soybean chilling injury based on Google Earth Engine (GEE) and crop growth model[J]. Acta Geographica Sinica, 2020, 75(9): 1879 Copy Citation Text show less
    References

    [1] Das A, Parida S K. Advances in biotechnological applications in three important food legumes[J]. Plant Biotechnology Reports, 8, 83-99(2014).

    [2] LiWenbing, SongChunxiao, ChangXingchao, et al. Drought resistance evaluation of 20 soybean varieties under drought stress. Journal of Northeast Agricultural University, 2019,50(4):1-10. [ 李文滨, 宋春晓, 苌兴超, 等. 干旱胁迫下20个大豆品种抗旱性评价. 东北农业大学学报, 2019,50(4):1-10.] [李文滨, 宋春晓, 苌兴超, 等. 干旱胁迫下20个大豆品种抗旱性评价. 东北农业大学学报, 2019, 50(4): 1-10.]

    [3] Liu X, Jin J, Wang G et al. Soybean yield physiology and development of high-yielding practices in Northeast China[J]. Field Crops Research, 105, 157-171(2008).

    [4] LiuDan, YuChenglong, DuChunying. Dynamic monitoring rice delayed type chilling damage based on remote sensing in northeast China. Transactions of the Chinese Society of Agricultural Engineering, 2016,32(15):157-164. [ 刘丹, 于成龙, 杜春英. 基于遥感的东北地区水稻延迟型冷害动态监测. 农业工程学报, 2016,32(15):157-164.] [刘丹, 于成龙, 杜春英. 基于遥感的东北地区水稻延迟型冷害动态监测. 农业工程学报, 2016, 32(15): 157-164.]

    [5] Hao T Y, Wang S G, Shang K Z et al. Research progress and outlook of low temperature chilling injury in Northeast China[J]. Meteorological and Environmental Research, 11, 85-91(2010).

    [6] HanRongqing, LiWeijing, AiWanxiu, et al. The climatic variability and influence of first frost dates in Northern China. Acta Geographica Sinica, 2010,65(5):525-532. [ 韩荣青, 李维京, 艾婉秀, 等. 中国北方初霜冻日期变化及其对农业的影响. 地理学报, 2010,65(5):525-532.] [韩荣青, 李维京, 艾婉秀, 等. 中国北方初霜冻日期变化及其对农业的影响. 地理学报, 2010, 65(5): 525-532.]

    [7] ZhangJianping, WangChunyi, ZhaoYanxia, et al. Impact evaluation of low temperature to yields of maize in Northeast China based on crop growth model. Acta Ecologica Sinica, 2012,32(13):4132-4138.

    [8] ZhouLiwei. Spatiotemporal characteristics of maize low temperature and cold damage and its effect on maize yield in Heilongjiang Province[D]. Harbin: Northeast Agricultural University, 2017. [ 周立威. 黑龙江省玉米低温冷害时空特征及其对玉米产量的影响[D]. 哈尔滨: 东北农业大学, 2017.] [周立威. 黑龙江省玉米低温冷害时空特征及其对玉米产量的影响[D]. 哈尔滨: 东北农业大学, 2017.]

    [9] LiuXiaofei, ZhangZhao, ShuaiJiabing, et al. Effect of chilling injury on rice yield in Heilongjiang Province. Acta Geographica Sinica, 2012,67(9):1223-1232. [ 刘晓菲, 张朝, 帅嘉冰, 等. 黑龙江省冷害对水稻产量的影响. 地理学报, 2012,67(9):1223-1232.] [刘晓菲, 张朝, 帅嘉冰, 等. 黑龙江省冷害对水稻产量的影响. 地理学报, 2012, 67(9): 1223-1232.]

    [10] Sinclair T R, Rawlins S L. Inter-seasonal variation in soybean and maize yields under global environmental change[J]. Agronomy Journal, 85, 406-409(1993).

    [11] LiXiufeng, MaShuqing, ZhaoHuiying, et al. Evaluation on maize chilling injury based on WOFOST model in Hetao irrigation region in Inner Mongolia. Chinese Journal of Agrometeorology, 2016,37(3):352-360. [ 李秀芬, 马树庆, 赵慧颖, 等. 基于WOFOST模型的内蒙古河套灌区玉米低温冷害评价. 中国农业气象, 2016,37(3):352-360.] [李秀芬, 马树庆, 赵慧颖, 等. 基于WOFOST模型的内蒙古河套灌区玉米低温冷害评价. 中国农业气象, 2016, 37(3): 352-360.]

    [12] ChenDe. Study on monitoring and evaluating the chilling injury of rice in Northeast China by remote sensing and crop model[D]. Nanjing: Nanjing University of Information Technology, 2017. [ 陈德. 基于遥感和作物模型的东北水稻低温冷害监测评估[D]. 南京: 南京信息工程学院, 2017.] [陈德. 基于遥感和作物模型的东北水稻低温冷害监测评估[D]. 南京: 南京信息工程学院, 2017.]

    [13] Gorelick N, Hancher M, Dixon M et al. Google Earth Engine: Planetary-scale geospatial analysis for everyone[J]. Remote Sensing of Environment, 202, 18-27(2017).

    [14] Boote K J, Jones J W, Batchelor W D et al. Genetic coefficients in the CROPGRO-soybean model[J]. Agronomy Journal, 95, 32-51(2003).

    [15] ChenZhongxin, RenJianqiang, TangHuajun, et al. Progress and perspectives on agricultural remote sensing research and applications in China. Journal of Remote Sensing, 2016,20(5):748-767. [ 陈仲新, 任建强, 唐华俊, 等. 农业遥感研究应用进展与展望. 遥感学报, 2016,20(5):748-767.] [陈仲新, 任建强, 唐华俊, 等. 农业遥感研究应用进展与展望. 遥感学报, 2016, 20(5): 748-767.]

    [16] Angstrom A. Solar and terrestrial radiation[J]. Quarterly Journal of the Royal Meteorological Society, 50, 121-126(1924).

    [17] Jones J W, Hoogenboom G, Porter C H et al. The DSSAT cropping system model[J]. European Journal of Agronomy, 18, 235-265(2003).

    [18] PangTiefu, FangZhanshen, ZhaoHongkai, et al. Crop Low Temperature Damage and Its Defense. Beijing: Agriculture Press, 1983: 20-25. [ 潘铁夫, 方展森, 赵洪凯, 等. 农作物低温冷害及其防御. 北京: 农业出版社, 1983: 20-25.] [潘铁夫, 方展森, 赵洪凯, 等. 农作物低温冷害及其防御. 北京: 农业出版社, 1983: 20-25.]

    [19] ZhangShengli. Analysis on the characteristics of chilling injury in Oroqen. China Southern Agricultural Machinery, 2017,48(4):181-182. [ 张胜利. 鄂伦春自治旗低温冷害特点分析. 南方农机, 2017,48(4):181-182.] [张胜利. 鄂伦春自治旗低温冷害特点分析. 南方农机, 2017, 48(4): 181-182.]

    [20] WangXinli, WangFutang, QiuGuowang. Application of optimizing theory to determining genetic parameters involved in CERES-Soybean model. Journal of Applied Meteorology, 1995,6(a01):49-54. [ 王信理, 王馥棠, 裘国旺. 系统优化理论在CERES—大豆模式品种参数求解中的应用. 应用气象学报, 1995,6(a01):49-54.] [王信理, 王馥棠, 裘国旺. 系统优化理论在CERES—大豆模式品种参数求解中的应用. 应用气象学报, 1995, 6(a01): 49-54.]

    [21] ZhuDawei, JinZhiqing. Impacts of changes in both climate and its variability on food production in Northeast China. Acta Agronomica Sinica, 2008,34(9):1588-1597. [ 朱大威, 金之庆. 气候及其变率变化对东北地区粮食生产的影响. 作物学报, 2008,34(9):1588-1597.] [朱大威, 金之庆. 气候及其变率变化对东北地区粮食生产的影响. 作物学报, 2008, 34(9): 1588-1597.]

    [22] PanZhuokun. Integration of remote sensing and crop growth model for regional low temperature impact monitoring early warning and yield estimation[D]. Hangzhou: Zhejiang University, 2015. [ 潘灼坤. 耦合遥感信息与作物生长模型的区域低温影响监测[D]. 杭州: 浙江大学, 2015.] [潘灼坤. 耦合遥感信息与作物生长模型的区域低温影响监测[D]. 杭州: 浙江大学, 2015.]

    [23] MaShuqing, XiZhuxiang, WangQi. Risk evaluation of cold damage to corn in Northeast China. Journal of Natural Disasters, 2003,12(3):137-141. [ 马树庆, 袭祝香, 王琪. 中国东北地区玉米低温冷害风险评估研究. 自然灾害学报, 2003,12(3):137-141.] [马树庆, 袭祝香, 王琪. 中国东北地区玉米低温冷害风险评估研究. 自然灾害学报, 2003, 12(3): 137-141.]

    [24] Anthony N R, Anatoly G, Yi P et al. Green leaf area index estimation in maize and soybean: Combining vegetation indices to achieve maximal sensitivity[J]. Agronomy Journal, 104, 1336-1337(2012).

    [25] Lobell D B, Thau D, Seifert C et al. A scalable satellite-based crop yield mapper[J]. Remote Sensing of Environment, 164, 324-333(2015).

    [26] SangShupeng. Study on measures to cope with low temperature damage in different growth stages of soybean. Soybean Science & Technology, 2013,5(1):53-54. [ 桑树鹏. 大豆不同生育期内应对低温冷害措施的研究. 大豆科技, 2013,5(1):53-54.] [桑树鹏. 大豆不同生育期内应对低温冷害措施的研究. 大豆科技, 2013, 5(1): 53-54.]

    Juan CAO, Zhao ZHANG, Liangliang ZHANG, Yuchuan LUO, Ziyue LI, Fulu TAO. Damage evaluation on soybean chilling injury based on Google Earth Engine (GEE) and crop growth model[J]. Acta Geographica Sinica, 2020, 75(9): 1879
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