Rice is one of the major crops in China,and enhancing the rice yield and water use efficiency is critical to ensuring food security in China.Determining how to optimize a scientific and efficient irrigation and draina...Rice is one of the major crops in China,and enhancing the rice yield and water use efficiency is critical to ensuring food security in China.Determining how to optimize a scientific and efficient irrigation and drainage scheme by combining existing technology is currently a hot topic.Crop growth models can be used to assess actual or proposed water management regimes intended to increase water use efficiency and mitigate water shortages.In this study,a CERES-Rice model was calibrated and validated using a two-year field experiment.Four irrigation and drainage treatments were designed for the experiment:alternate wetting and drying(AWD),controlled drainage(CD),controlled irrigation and drainage for a low water level(CID1),and controlled irrigation and drainage for a high water level(CID2).According to the indicators normalized root mean square error(NRMSE)and index of agreement(d),the calibrated CERES-Rice model accurately predicted grain yield(NRMSE=6.67%,d=0.77),,shoot biomass(NRMSE=3.37%,d=0.77),actual evapotranspiration(ETa)(NRMSE=3.83%,d=0.74),irrigation volume(NRMSE=15.56%,d=0.94),and leaf area index(NRMSE=9.69%,d=0.98)over 2 a.The calibrated model was subsequently used to evaluate rice production in response to the four treatments(AWD,CD,CID1,and CID2)under 60 meteorological scenarios which were divided into wet years(22 a),normal years(16 a),and dry years(22 a).Results showed that the yield of AWD was the largest among four treatments in different hydrological years.Relative to that of AWD,the yield of CD,CID1,and CID2 were respectively reduced by 5.7%,2.6%,8.7%in wet years,9.2%,2.3%,8.6% in normal years,and 9.2%,3.8%,3.9% in dry years.However,rainwater use efficiency and irrigation water use efficiency were the greatest for CID2 in different hydrological years.The entropy-weighting TOPSIS model was used to optimize the four water-saving irrigation schemes in terms of water-saving,labor-saving and high-yield,based on the simulation results of the CERES-Rice model in the past 60 a.These results showed that CID1 and AWD were optimal in the wet years,CID1 and CID2 were optimal in the normal and dry years.These results may provide a strong scientific basis for the optimization of water-saving irrigation technology for rice.展开更多
为了科学评价未来气候变化对福建省水稻产量的影响,将福建省划分为3个稻区,选取66个样点,7个代表性品种,以及2种典型浓度路径(中端稳定路径RCP4.5和高端路径RCP8.5),利用BCC_CSM(Beijing Climate Center Climate System Model)气候模式...为了科学评价未来气候变化对福建省水稻产量的影响,将福建省划分为3个稻区,选取66个样点,7个代表性品种,以及2种典型浓度路径(中端稳定路径RCP4.5和高端路径RCP8.5),利用BCC_CSM(Beijing Climate Center Climate System Model)气候模式,基于这2种典型浓度路径情景RCP(Representative Concentration Pathway)下的气候预估结果,结合作物生长模型CERES-Rice,分雨养与灌溉两种情形,模拟分析气候变化对水稻生产的影响。结果表明:未来气候变化情景下福建省各站点水稻生育期将明显缩短,生育期内平均温度均有所升高;不考虑CO2肥效作用时,无论早稻、后季稻、单季稻,其产量相对于基准年份均普遍减产,减产幅度不超过12%,其中雨养水稻的减产幅度略高于灌溉水稻;不同情景下水稻产量变化也有所差别,其中RCP8.5情景下水稻的减产幅度明显大于RCP4.5情景;而在考虑CO2肥效作用时,模拟结果比较乐观,各研究站点普遍表现为增产,最大增产幅度可达15.2%。展开更多
基金financially supported by the Basic Scientific Research Project of Chinese Academy of Agricultural Sciences(Grant No.FIRI2021010601)Key Technologies R&D and Promotion Program of Henan Province(Grant No.212102110031)National Natural Science Foundation of China(Grant No.52179015).
文摘Rice is one of the major crops in China,and enhancing the rice yield and water use efficiency is critical to ensuring food security in China.Determining how to optimize a scientific and efficient irrigation and drainage scheme by combining existing technology is currently a hot topic.Crop growth models can be used to assess actual or proposed water management regimes intended to increase water use efficiency and mitigate water shortages.In this study,a CERES-Rice model was calibrated and validated using a two-year field experiment.Four irrigation and drainage treatments were designed for the experiment:alternate wetting and drying(AWD),controlled drainage(CD),controlled irrigation and drainage for a low water level(CID1),and controlled irrigation and drainage for a high water level(CID2).According to the indicators normalized root mean square error(NRMSE)and index of agreement(d),the calibrated CERES-Rice model accurately predicted grain yield(NRMSE=6.67%,d=0.77),,shoot biomass(NRMSE=3.37%,d=0.77),actual evapotranspiration(ETa)(NRMSE=3.83%,d=0.74),irrigation volume(NRMSE=15.56%,d=0.94),and leaf area index(NRMSE=9.69%,d=0.98)over 2 a.The calibrated model was subsequently used to evaluate rice production in response to the four treatments(AWD,CD,CID1,and CID2)under 60 meteorological scenarios which were divided into wet years(22 a),normal years(16 a),and dry years(22 a).Results showed that the yield of AWD was the largest among four treatments in different hydrological years.Relative to that of AWD,the yield of CD,CID1,and CID2 were respectively reduced by 5.7%,2.6%,8.7%in wet years,9.2%,2.3%,8.6% in normal years,and 9.2%,3.8%,3.9% in dry years.However,rainwater use efficiency and irrigation water use efficiency were the greatest for CID2 in different hydrological years.The entropy-weighting TOPSIS model was used to optimize the four water-saving irrigation schemes in terms of water-saving,labor-saving and high-yield,based on the simulation results of the CERES-Rice model in the past 60 a.These results showed that CID1 and AWD were optimal in the wet years,CID1 and CID2 were optimal in the normal and dry years.These results may provide a strong scientific basis for the optimization of water-saving irrigation technology for rice.
文摘为了科学评价未来气候变化对福建省水稻产量的影响,将福建省划分为3个稻区,选取66个样点,7个代表性品种,以及2种典型浓度路径(中端稳定路径RCP4.5和高端路径RCP8.5),利用BCC_CSM(Beijing Climate Center Climate System Model)气候模式,基于这2种典型浓度路径情景RCP(Representative Concentration Pathway)下的气候预估结果,结合作物生长模型CERES-Rice,分雨养与灌溉两种情形,模拟分析气候变化对水稻生产的影响。结果表明:未来气候变化情景下福建省各站点水稻生育期将明显缩短,生育期内平均温度均有所升高;不考虑CO2肥效作用时,无论早稻、后季稻、单季稻,其产量相对于基准年份均普遍减产,减产幅度不超过12%,其中雨养水稻的减产幅度略高于灌溉水稻;不同情景下水稻产量变化也有所差别,其中RCP8.5情景下水稻的减产幅度明显大于RCP4.5情景;而在考虑CO2肥效作用时,模拟结果比较乐观,各研究站点普遍表现为增产,最大增产幅度可达15.2%。
