Crop water stress index(CWSI)is widely used for efficient irrigation management.Precise canopy temperature(T_(c))measurement is necessary to derive a reliable CWSI.The objective of this research was to investigate the...Crop water stress index(CWSI)is widely used for efficient irrigation management.Precise canopy temperature(T_(c))measurement is necessary to derive a reliable CWSI.The objective of this research was to investigate the influences of atmospheric conditions,settled height,view angle of infrared thermography,and investigating time of temperature measuring on the performance of the CWSI.Three irrigation treatments were used to create different soil water conditions during the 2020-2021 and 2021-2022 winter wheat-growing seasons.The CWSI was calculated using the CWSI-E(an empirical approach)and CWSI-T(a theoretical approach)based on the T_(c).Weather conditions were recorded continuously throughout the experimental period.The results showed that atmospheric conditions influenced the estimation of the CWSI;when the vapor pressure deficit(VPD)was>2000 Pa,the estimated CWSI was related to soil water conditions.The height of the installed infrared thermograph influenced the T_(c)values,and the differences among the T_(c)values measured at height of 3,5,and 10 m was smaller in the afternoon than in the morning.However,the lens of the thermometer facing south recorded a higher T_(c)than those facing east or north,especially at a low height,indicating that the direction of the thermometer had a significant influence on T_(c).There was a large variation in CWSI derived at different times of the day,and the midday measurements(12:00-15:00)were the most reliable for estimating CWSI.Negative linear relationships were found between the transpiration rate and CWSI-E(R^(2)of 0.3646-0.5725)and CWSI-T(R^(2)of 0.5407-0.7213).The relations between fraction of available soil water(FASW)with CWSI-T was higher than that with CWSI-E,indicating CWSI-T was more accurate for predicting crop water status.In addition,The R^(2)between CWSI-T and FASW at 14:00 was higher than that at other times,indicating that 14:00 was the optimal time for using the CWSI for crop water status monitoring.Relative higher yield of winter wheat was obtained with average seasonal values of CWSI-E and CWSI-T around 0.23 and 0.25-0.26,respectively.The CWSI-E values were more easily influenced by meteorological factors and the timing of the measurements,and using the theoretical approach to derive the CWSI was recommended for precise irrigation water management.展开更多
Water is an important component in agricultural production for both yield quantity and quality. Although all weather conditions are driving factors in the agricultural sector, the precipitation in rainfed agriculture ...Water is an important component in agricultural production for both yield quantity and quality. Although all weather conditions are driving factors in the agricultural sector, the precipitation in rainfed agriculture is the most limiting weather parameter. Water deficit may occur continuously over the total growing period or during any particular growth stage of the crop. Optical remote sensing is very useful but, in cloudy days it becomes useless. Radar penetrates the cloud and collects information through the backscattering data. Normalized Difference Vegetation Index (NDVI) was extracted from Landsat 8 satellite data and used to calculate Crop Coefficient (Kc). The FAO-Penman-Monteith equation was used to calculate reference evapotranspiration (ETo). NDVI and Land Surface Temperature (LST) were calculated from satellite data and integrated with air temperature measurements to estimate Crop Water Stress Index (CWSI). Then, both CWSI and potential crop evapotranspiration (ETc) were used to calculate actual evapotranspiration (ETa). Sentinel-1 radar data were calibrated using SNAP software. The relation between backscattering (dB) and CWSI was an inverse relationship and R2 was as high as 0.82.展开更多
The crop water stress index(CWSI)is a complex instrument to effectively monitor the degree of water stress of crops and provides guidance for timely irrigation.In an experiment utilizing the CWSI with off-season green...The crop water stress index(CWSI)is a complex instrument to effectively monitor the degree of water stress of crops and provides guidance for timely irrigation.In an experiment utilizing the CWSI with off-season green peppers planted in barrels in a greenhouse in Liaoning Province,Northeast China,this study monitors the sub-indexes--such as canopy temperature,environmental factors and yield--determines the changing law of each constituent,achieves an empirical model as well as a baseline formula for the canopy temperature of the peppers with a sufficient water supply,and verifies the rationality of the formula with corresponding experimental data.The results obtained by using the CWSI show that the optimal time to determine the water deficit for off-season green peppers is at noon,by measuring the diurnal variation in the peppers with different water supplies.There is a nonlinear relationship between the yield and the average CWSI at the prime fruit-bearing period;moreover,the optimal time to supply water for off-season green peppers comes when the average water stress index ranges between 0.2 and 0.4 during the prime fruiting stage,thereby ensuring a high yield.展开更多
Plants in the alpine zone mainly depend on the reserved food materials stored in their rhizomes for the next growing season. We investigated the effect of mixed cropping （Phaseolus vulgaris L. var. Pinto） with four ...Plants in the alpine zone mainly depend on the reserved food materials stored in their rhizomes for the next growing season. We investigated the effect of mixed cropping （Phaseolus vulgaris L. var. Pinto） with four rhizomatous medicinal plants, i.e., Angelica glauca, Arnebia benthamii, Rheum emodi and Pleurospermum angelicoides as well as three levels of water stress treatment under two conditions （shade net and open field） on macronutrients （NPK） and biochemicals （carbohydrates and protein）. The experiment was conducted by completely randomized design （CDR）. The data were analyzed with ANOVA as well as CDR. The experimental results show that in all the species shade conditions with sever water stress （SSWS） increased the level of macronutrients （NPK）. However, （N） concentration was highest under shade with mixed cropping （SMIX）. Under SMIX, carbohydrate content was highest than open field control conditions （CONT）. This investigation results demon- strate that mixed cropping of medicinal plants with Phaseolus vulgaris could be a good livelihood option in the mountainous regions of Indian Central Himalaya. And the water-stress conditions along with mixed cropping could improve the biochemical constituents in the rhizome of these species.展开更多
A field experiment was conducted throughout 2009/2010 in a sugarcane field of a commercial distillery located on the coastal area of Paraiba state, Brazil. The objectives were to determine sugarcane water requirements...A field experiment was conducted throughout 2009/2010 in a sugarcane field of a commercial distillery located on the coastal area of Paraiba state, Brazil. The objectives were to determine sugarcane water requirements and to test the single and dual crop coefficients by comparing the calculated values of ET with measured ones. Crop evapotranspiration was determined by field water balance, reference evapotranspiration (ETo) by the Penman-Monteith approach, while single and dual crop coefficients were computed through the standard FAO-56 methodology. The experimental area was cultivated with irrigation applied weekly by a centre pivot system in addition to rainfall and the irrigation scheduling was based on 100% ETo. Three statistical tests, mean bias difference (MBD), normalized root mean square difference (NRMSD) and regression analysis, were used to evaluate the performance of single and dual crop coefficients. Results showed that there was a notable symmetry between ET measured and ET calculated by Kc dual. The ET values, calculated from Kc single, underestimated those obtained from soil water balance measurements by 36%.展开更多
Drought stress strongly affects soil biota and impairs crop production, which under climate change will be exacerbated in semi-arid cropping regions such as the Sahel. Hence soil management systems are needed that can...Drought stress strongly affects soil biota and impairs crop production, which under climate change will be exacerbated in semi-arid cropping regions such as the Sahel. Hence soil management systems are needed that can buffer against drought. In West Africa, field studies have found intercropping of millet with the native shrub Piliostigma reticulatum improves soil-plant-water relations, microbial activity and diversity, and suppress parasitic nematodes, which can significantly increase crop yield. However, little information is available on its beneficial or negative effects on soils or crops during water stress. Therefore, the objective was to investigate the impact of P. reticulatum in moderating water stress effects on soil properties and pearl millet (Pennisetum glaucum [L.] R. Br.) productivity. In the greenhouse, soil chemical and microbial properties and millet growth were investigated with a factorial experiment of varying levels of soil moisture (favorable, moderately stressed, or severely stressed water conditions) that was imposed for 55 days on soils containing sole P. reticulatum or millet, or millet + P. reticulatum. The results showed that the presence of P. reticulatum did not buffer soils against water stress in relation to soil chemical and microbial properties measured at the end of the experiment. Severe water stress did significantly decrease the height, number of leaves, and aboveground biomass of millet plants. Additionally, respiration, nematofauna trophic structure and abundance decreased as water stress increased. Lastly, bacterial feeders and plant parasitic nematodes were the most sensitive to severe water stress while fungal feeding nematodes remained unaffected. The results suggested that the intensity of water stress had more negative effects on soil basal respiration rather than soil microbial biomass.展开更多
【目的】探究马铃薯的叶气温差与环境因子的关系,进一步优化马铃薯水分胁迫指数模型。【方法】在河南农业大学林学院试验基地进行马铃薯盆栽试验,选择晴朗天气测定不同土壤含水率下马铃薯的叶气温差随太阳辐射和大气饱和水汽压差(VPD)...【目的】探究马铃薯的叶气温差与环境因子的关系,进一步优化马铃薯水分胁迫指数模型。【方法】在河南农业大学林学院试验基地进行马铃薯盆栽试验,选择晴朗天气测定不同土壤含水率下马铃薯的叶气温差随太阳辐射和大气饱和水汽压差(VPD)的变化规律,确定作物水分胁迫指数(crop water stress index,CWSI)的上下基线,进一步试验后得到优化后的马铃薯CWSI经验模型,并对相关模型进行验证。【结果】马铃薯的叶气温差随着土壤含水率的降低而升高;当土壤含水率较低(7.28%)时,马铃薯的叶气温差随太阳辐射的增大而增大,呈显著线性关系;当土壤含水率较高(15.85%)时,马铃薯的叶气温差随VPD的增大而减小,呈显著线性关系;构建出马铃薯CWSI的上基线为y=0.0098Q-0.68[Q为太阳辐射强度/(W·m^(-2))],下基线为y=-1.67V+3.75(V为大气饱和水汽压差/kPa);将优化的CWSI模型验证后得知,随着土壤含水率的减少,CWSI值增加,且CWSI同土壤含水量呈极显著负相关关系(p<0.01)。【结论】马铃薯的最大叶气温差与太阳辐射的线性关系作为马铃薯水分胁迫指数的上基线是可行的,该研究对传统CWSI经验模型进行改进,进一步优化了CWSI经验模型。展开更多
为探究作物冠层受阳光直射或阴影遮挡对无人机热红外遥感诊断作物水分胁迫、监测土壤含水率的影响,该研究以不同灌溉处理的夏玉米为研究对象,将热红外图像划分为光照冠层、阴影冠层、光照土壤、阴影土壤4个部分,分别提取光照温度与阴影...为探究作物冠层受阳光直射或阴影遮挡对无人机热红外遥感诊断作物水分胁迫、监测土壤含水率的影响,该研究以不同灌溉处理的夏玉米为研究对象,将热红外图像划分为光照冠层、阴影冠层、光照土壤、阴影土壤4个部分,分别提取光照温度与阴影温度后计算了11:00、13:00、15:00的冠气温差(冠层温度与大气温度之差,ΔT)、作物水分胁迫指数(crop water stress index,CWSI)、蒸发比(潜热通量与有效能量的比值,evaporative fraction,EF),并对比了3种指数在不同时刻使用光照温度(ΔT_(L)、CWSI_(L)、EF_(L))与阴影温度(ΔT_(S)、CWSI_(S)、EF_(S))后对土壤含水率的监测效果变化情况。结果表明:1)3种指数的监测效果会随时间发生变化,11:00与15:00时EF监测效果较好,13:00时CWSI监测效果较好,ΔT的监测效果较差但随时间波动最小;2)拔节期在区分光照温度与阴影温度后监测效果在11:00时提升幅度最大,EF、EF_(S)、EF_(L)的R^(2)分别为0.54、0.65、0.78,CWSI、CWSI_(S)、CWSI_(L)的R^(2)分别为0.47、0.64、0.70,抽雄期与灌浆期使用光照温度对监测效果提升不大,但使用阴影温度的指数监测效果有明显降低,在13:00时CWSIS较CWSI有最大降幅,R^(2)降幅分别为0.11、0.06;3)在拔节期与抽雄期使用11:00的EFL,在灌浆期使用13:00的CWSI能取得最好的土壤含水率监测效果,验证期预测土壤含水率的R2分别为0.75、0.75、0.89。该研究可以为无人机热红外监测土壤含水率提供参考。展开更多
为促进黄土高原农业和生态环境可持续发展,基于2001—2020年MODIS蒸散产品和气象站点数据,利用作物缺水指数(crop water stress index,CWSI)、Theil-Sen Median趋势分析、Mann-Kendall检验和偏相关分析等方法,探讨了黄土高原干旱变化特...为促进黄土高原农业和生态环境可持续发展,基于2001—2020年MODIS蒸散产品和气象站点数据,利用作物缺水指数(crop water stress index,CWSI)、Theil-Sen Median趋势分析、Mann-Kendall检验和偏相关分析等方法,探讨了黄土高原干旱变化特征及其影响因素。结果表明:①年际上,2001—2020年黄土高原CWSI呈显著线性下降过程,下降速率为0.0058 a^(-1)(P<0.01)。干旱程度呈先减(2001—2018年)后增(2018—2020年)过程;②空间上,CWSI以减少趋势为主,显著减少趋势占区域总面积91.24%,其中青海、甘肃、宁夏、陕西南部地区CWSI下降速率较快;③黄土高原CWSI与气温以负偏相关关系为主,显著负偏相关占区域面积的7.78%,集中分布于青海东部、山西南部和河南北部;与降水以负偏相关关系为主,显著负偏相关占区域总面积60.88%,集中分布于黄土高原西南部和东部地区。气温升高背景下,降水增加促使黄土高原实际蒸发显著增加、潜在蒸发不显著减少,导致CWSI显著下降。研究结论认为降水是黄土高原CWSI下降的主要影响因素,年降水量增加减缓了黄土高原干旱趋势。展开更多
冠层温度(canopy temperature,T_(c))是作物水分胁迫计算的基础。准确地剔除热红外图像中的土壤背景,可以提高作物水分的监测精度。该研究以4种水分处理的拔节期夏玉米为研究对象,借助无人机可见光和热红外图像,采用红绿比值指数(red-gr...冠层温度(canopy temperature,T_(c))是作物水分胁迫计算的基础。准确地剔除热红外图像中的土壤背景,可以提高作物水分的监测精度。该研究以4种水分处理的拔节期夏玉米为研究对象,借助无人机可见光和热红外图像,采用红绿比值指数(red-green ratio index,RGRI)法提取研究区域的面状玉米冠层温度的空间分布信息,并分析每幅热红外图像上冠层温度的累积频率。该并提出了两种改进作物水分胁迫指数(crop water stress index,CWSI)性能的方法,一是使用基于正态分布的不同统计分位数分割冠层温度,并基于不同统计分位数上的平均冠层温度计算CWSI(记为CWSI_(TcF%))。二是基于冠层温度方差(canopy temperature variance,V_(ar)),将玉米冠层数据分为4个区间:区间Ⅰ,T_(c)≤40,V_(ar)≤10;区间Ⅱ,T_(c)≤40,10<V_(ar)≤20;区间Ⅲ,35<T_(c)<45,Var>20;区间Ⅳ,40<T_(c)<50,0<V_(ar)≤20,并在各自区间上选择最敏感的统计分位数计算CWSI(记为CWSI_(n))。研究结果表明:1)利用2020年和2021年两年数据计算的CWSI_(n)与作物生理指标(气孔导度G_(s)、净光合速率P_(n)、蒸腾速率T_(r))间的决定系数R2分别为0.72、0.52、0.62,nRMSE分别为23.96%、24.06%、25.60%,模型拟合精度高于原始CWSI(R^(2)分别为0.73、0.34、0.46,nRMSE分别为23.69%、28.27%、30.21%),但与CWSITcF%差别不大(R2分别为0.74、0.54、0.61,nRMSE分别为22.87%、23.74%、25.61%);2)虽然CWSI_(TcF%)能提高诊断作物水分胁迫的精度,但最敏感的冠层温度区间在年际间相差较大(2020,61.17%;2021,49.38%;两年数据,83.51%),而CWSI_(n)稳定性更高(与生理指标间的nRMSE分别为:2020年16.60%、27.37%、28.49%;2021年21.60%、18.95%、22.64%)。因此,综合来看CWSI_(n)可以更加精确地监测作物水分胁迫,利用该改进方法可为无人机遥感精准监测作物水分胁迫状况提供参考。展开更多
为了准确提取作物冠层温度,监测作物水分亏缺状态,以不同水分处理的生菜为研究对象,分别利用手持式热像仪和佳能相机获取生菜的热红外和可见光图像,计算生菜冠层可见光图像与热红外图像的仿射变换参数,并进行配准融合,以获取生菜冠层区...为了准确提取作物冠层温度,监测作物水分亏缺状态,以不同水分处理的生菜为研究对象,分别利用手持式热像仪和佳能相机获取生菜的热红外和可见光图像,计算生菜冠层可见光图像与热红外图像的仿射变换参数,并进行配准融合,以获取生菜冠层区域的热红外图像,而后计算不同处理下的基于冠层温度的水分胁迫指数(Crop Water Stress Index, CWSI)与日蒸散量(Evapotranspiration,ET),分析不同灌溉处理下CWSI同ET的相关关系来监测生菜水分亏缺程度。结果表明,基于仿射变换的热红外目标提取方法可以实现生菜冠层的准确提取,剔除背景后生菜冠层的平均温度值由20.25℃下降至19.25℃。不同水分处理下的生菜热红外冠层的CWSI值展示出明显的差异,且CWSI与ET呈显著负相关,当CWSI越大,ET越小,表明CWSI可以应用在生菜水分胁迫状态监测,能够很好的反应土壤水分含量变化状况。展开更多
马铃薯水分胁迫状态监测方法研究对于马铃薯生长品质和产量提升有重要作用。基于热红外图像和可见光图像可以计算得到作物水分胁迫指数(crop water stress index,CWSI),并进行作物水分胁迫状态的判断。为了自动化、高通量、无损的连续...马铃薯水分胁迫状态监测方法研究对于马铃薯生长品质和产量提升有重要作用。基于热红外图像和可见光图像可以计算得到作物水分胁迫指数(crop water stress index,CWSI),并进行作物水分胁迫状态的判断。为了自动化、高通量、无损的连续采集可见光、热红外图像和原始温度数据,本研究集成开发了双目相机和热红外相机的小型作物巡检图像采集系统。根据不同功能需求,对硬件部分进行分类模块化设计,包括主控模块、运动控制模块、图像采集模块和实时监控模块,其中主控模块实现对图像采集模块的拍照控制、对图像和温度数据的传输保存、与运动控制模块数据交互。基于机器人操作系统(ROS)架构设计多个节点以发布/订阅的模式实现各个模块节点之间通信,包括运动控制节点、热红外相机节点和双目相机节点。通过实验室内1d的系统可行性测试得出,运动模块控制精度满足图像采集需求,各个模块和节点控制程序可以协同完成图像采集和本地存储,通过在温室内为期18d系统稳定性测试与应用,共进行648次巡检采集,每次巡检耗时3min,得到11664张可见光图像,5832张热红外图像,5832份原始温度数据,证明系统运行稳定、图像、温度数据正常采集,实现自动化、高通量、无损获取所需数据的功能。该系统为作物表型信息获取提供了一种有效的技术和装备支撑。展开更多
滴灌技术结合节水灌溉制度可显著提高作物水分利用效率,但针对滴灌条件下冬小麦节水灌溉制度的优化研究相对较少,利用作物模型优化节水灌溉制度可以弥补田间试验的不足,对于作物精确灌溉具有重要的指导意义。本研究利用胶东冬小麦滴灌...滴灌技术结合节水灌溉制度可显著提高作物水分利用效率,但针对滴灌条件下冬小麦节水灌溉制度的优化研究相对较少,利用作物模型优化节水灌溉制度可以弥补田间试验的不足,对于作物精确灌溉具有重要的指导意义。本研究利用胶东冬小麦滴灌节水试验数据(2016—2019年)评价了根区水质模型(RZWQM-CERES)的适应性,并模拟评价了不同节水滴灌制度对冬小麦产量和水分利用效率的影响,以筛选最佳节水滴灌制度。结果表明RZWQM-CERES可以较好地模拟土壤水分、冬小麦生长和产量对不同滴灌处理和季节的响应,其中模拟0~90 cm土壤贮水量的均方根误差(RMSE)为22.7~32.3 mm、相对均方根误差(NRMSE)为11.9%~16.3%、决定系数(R2)为0.52~0.69,模拟收获期生物量的RMSE为1184~1904 kg hm-2、NRMSE为9.9%~16.8%、R2为0.67,模拟产量的RMSE为361~491 kg hm^(–2)、NRMSE为5.7%~7.8%、R2为0.75。长期模拟结果表明该地区冬小麦需水关键期为孕穗期(丰水年和平水年)或拔节期(枯水年)。针对不同降水年型冬小麦产量和水分利用效率对灌溉量的响应差异,筛选滴灌条件下冬小麦最佳灌溉制度为:丰水年在拔节期和开花期各灌水45mm;平水年(或枯水年)在拔节期、孕穗期及开花期各灌水35mm(或45 mm)。本研究结果扩展了RZWQM-CERES优化冬小麦滴灌制度的应用潜力,为实施冬小麦精确灌溉提供了重要的技术支持。展开更多
基金supported by the Project of State Grid Hebei Electric Power Co.,Ltd.(SGHEYX00SCJS2100077).
文摘Crop water stress index(CWSI)is widely used for efficient irrigation management.Precise canopy temperature(T_(c))measurement is necessary to derive a reliable CWSI.The objective of this research was to investigate the influences of atmospheric conditions,settled height,view angle of infrared thermography,and investigating time of temperature measuring on the performance of the CWSI.Three irrigation treatments were used to create different soil water conditions during the 2020-2021 and 2021-2022 winter wheat-growing seasons.The CWSI was calculated using the CWSI-E(an empirical approach)and CWSI-T(a theoretical approach)based on the T_(c).Weather conditions were recorded continuously throughout the experimental period.The results showed that atmospheric conditions influenced the estimation of the CWSI;when the vapor pressure deficit(VPD)was>2000 Pa,the estimated CWSI was related to soil water conditions.The height of the installed infrared thermograph influenced the T_(c)values,and the differences among the T_(c)values measured at height of 3,5,and 10 m was smaller in the afternoon than in the morning.However,the lens of the thermometer facing south recorded a higher T_(c)than those facing east or north,especially at a low height,indicating that the direction of the thermometer had a significant influence on T_(c).There was a large variation in CWSI derived at different times of the day,and the midday measurements(12:00-15:00)were the most reliable for estimating CWSI.Negative linear relationships were found between the transpiration rate and CWSI-E(R^(2)of 0.3646-0.5725)and CWSI-T(R^(2)of 0.5407-0.7213).The relations between fraction of available soil water(FASW)with CWSI-T was higher than that with CWSI-E,indicating CWSI-T was more accurate for predicting crop water status.In addition,The R^(2)between CWSI-T and FASW at 14:00 was higher than that at other times,indicating that 14:00 was the optimal time for using the CWSI for crop water status monitoring.Relative higher yield of winter wheat was obtained with average seasonal values of CWSI-E and CWSI-T around 0.23 and 0.25-0.26,respectively.The CWSI-E values were more easily influenced by meteorological factors and the timing of the measurements,and using the theoretical approach to derive the CWSI was recommended for precise irrigation water management.
文摘Water is an important component in agricultural production for both yield quantity and quality. Although all weather conditions are driving factors in the agricultural sector, the precipitation in rainfed agriculture is the most limiting weather parameter. Water deficit may occur continuously over the total growing period or during any particular growth stage of the crop. Optical remote sensing is very useful but, in cloudy days it becomes useless. Radar penetrates the cloud and collects information through the backscattering data. Normalized Difference Vegetation Index (NDVI) was extracted from Landsat 8 satellite data and used to calculate Crop Coefficient (Kc). The FAO-Penman-Monteith equation was used to calculate reference evapotranspiration (ETo). NDVI and Land Surface Temperature (LST) were calculated from satellite data and integrated with air temperature measurements to estimate Crop Water Stress Index (CWSI). Then, both CWSI and potential crop evapotranspiration (ETc) were used to calculate actual evapotranspiration (ETa). Sentinel-1 radar data were calibrated using SNAP software. The relation between backscattering (dB) and CWSI was an inverse relationship and R2 was as high as 0.82.
基金The authors express appreciation for the financial support granted by the Education Department of Liaoning Province,China(Project No.L2012239)and the Ministry of Agriculture,China(Project No.201303125)We also thank Dr.Wang Yingkuan for his valuable suggestions for improving this paper and Dr.Cheryl Rutledge(Florida,USA)for her English editorial assistance.
文摘The crop water stress index(CWSI)is a complex instrument to effectively monitor the degree of water stress of crops and provides guidance for timely irrigation.In an experiment utilizing the CWSI with off-season green peppers planted in barrels in a greenhouse in Liaoning Province,Northeast China,this study monitors the sub-indexes--such as canopy temperature,environmental factors and yield--determines the changing law of each constituent,achieves an empirical model as well as a baseline formula for the canopy temperature of the peppers with a sufficient water supply,and verifies the rationality of the formula with corresponding experimental data.The results obtained by using the CWSI show that the optimal time to determine the water deficit for off-season green peppers is at noon,by measuring the diurnal variation in the peppers with different water supplies.There is a nonlinear relationship between the yield and the average CWSI at the prime fruit-bearing period;moreover,the optimal time to supply water for off-season green peppers comes when the average water stress index ranges between 0.2 and 0.4 during the prime fruiting stage,thereby ensuring a high yield.
文摘Plants in the alpine zone mainly depend on the reserved food materials stored in their rhizomes for the next growing season. We investigated the effect of mixed cropping （Phaseolus vulgaris L. var. Pinto） with four rhizomatous medicinal plants, i.e., Angelica glauca, Arnebia benthamii, Rheum emodi and Pleurospermum angelicoides as well as three levels of water stress treatment under two conditions （shade net and open field） on macronutrients （NPK） and biochemicals （carbohydrates and protein）. The experiment was conducted by completely randomized design （CDR）. The data were analyzed with ANOVA as well as CDR. The experimental results show that in all the species shade conditions with sever water stress （SSWS） increased the level of macronutrients （NPK）. However, （N） concentration was highest under shade with mixed cropping （SMIX）. Under SMIX, carbohydrate content was highest than open field control conditions （CONT）. This investigation results demon- strate that mixed cropping of medicinal plants with Phaseolus vulgaris could be a good livelihood option in the mountainous regions of Indian Central Himalaya. And the water-stress conditions along with mixed cropping could improve the biochemical constituents in the rhizome of these species.
文摘A field experiment was conducted throughout 2009/2010 in a sugarcane field of a commercial distillery located on the coastal area of Paraiba state, Brazil. The objectives were to determine sugarcane water requirements and to test the single and dual crop coefficients by comparing the calculated values of ET with measured ones. Crop evapotranspiration was determined by field water balance, reference evapotranspiration (ETo) by the Penman-Monteith approach, while single and dual crop coefficients were computed through the standard FAO-56 methodology. The experimental area was cultivated with irrigation applied weekly by a centre pivot system in addition to rainfall and the irrigation scheduling was based on 100% ETo. Three statistical tests, mean bias difference (MBD), normalized root mean square difference (NRMSD) and regression analysis, were used to evaluate the performance of single and dual crop coefficients. Results showed that there was a notable symmetry between ET measured and ET calculated by Kc dual. The ET values, calculated from Kc single, underestimated those obtained from soil water balance measurements by 36%.
文摘Drought stress strongly affects soil biota and impairs crop production, which under climate change will be exacerbated in semi-arid cropping regions such as the Sahel. Hence soil management systems are needed that can buffer against drought. In West Africa, field studies have found intercropping of millet with the native shrub Piliostigma reticulatum improves soil-plant-water relations, microbial activity and diversity, and suppress parasitic nematodes, which can significantly increase crop yield. However, little information is available on its beneficial or negative effects on soils or crops during water stress. Therefore, the objective was to investigate the impact of P. reticulatum in moderating water stress effects on soil properties and pearl millet (Pennisetum glaucum [L.] R. Br.) productivity. In the greenhouse, soil chemical and microbial properties and millet growth were investigated with a factorial experiment of varying levels of soil moisture (favorable, moderately stressed, or severely stressed water conditions) that was imposed for 55 days on soils containing sole P. reticulatum or millet, or millet + P. reticulatum. The results showed that the presence of P. reticulatum did not buffer soils against water stress in relation to soil chemical and microbial properties measured at the end of the experiment. Severe water stress did significantly decrease the height, number of leaves, and aboveground biomass of millet plants. Additionally, respiration, nematofauna trophic structure and abundance decreased as water stress increased. Lastly, bacterial feeders and plant parasitic nematodes were the most sensitive to severe water stress while fungal feeding nematodes remained unaffected. The results suggested that the intensity of water stress had more negative effects on soil basal respiration rather than soil microbial biomass.
文摘【目的】探究马铃薯的叶气温差与环境因子的关系,进一步优化马铃薯水分胁迫指数模型。【方法】在河南农业大学林学院试验基地进行马铃薯盆栽试验,选择晴朗天气测定不同土壤含水率下马铃薯的叶气温差随太阳辐射和大气饱和水汽压差(VPD)的变化规律,确定作物水分胁迫指数(crop water stress index,CWSI)的上下基线,进一步试验后得到优化后的马铃薯CWSI经验模型,并对相关模型进行验证。【结果】马铃薯的叶气温差随着土壤含水率的降低而升高;当土壤含水率较低(7.28%)时,马铃薯的叶气温差随太阳辐射的增大而增大,呈显著线性关系;当土壤含水率较高(15.85%)时,马铃薯的叶气温差随VPD的增大而减小,呈显著线性关系;构建出马铃薯CWSI的上基线为y=0.0098Q-0.68[Q为太阳辐射强度/(W·m^(-2))],下基线为y=-1.67V+3.75(V为大气饱和水汽压差/kPa);将优化的CWSI模型验证后得知,随着土壤含水率的减少,CWSI值增加,且CWSI同土壤含水量呈极显著负相关关系(p<0.01)。【结论】马铃薯的最大叶气温差与太阳辐射的线性关系作为马铃薯水分胁迫指数的上基线是可行的,该研究对传统CWSI经验模型进行改进,进一步优化了CWSI经验模型。
文摘为探究作物冠层受阳光直射或阴影遮挡对无人机热红外遥感诊断作物水分胁迫、监测土壤含水率的影响,该研究以不同灌溉处理的夏玉米为研究对象,将热红外图像划分为光照冠层、阴影冠层、光照土壤、阴影土壤4个部分,分别提取光照温度与阴影温度后计算了11:00、13:00、15:00的冠气温差(冠层温度与大气温度之差,ΔT)、作物水分胁迫指数(crop water stress index,CWSI)、蒸发比(潜热通量与有效能量的比值,evaporative fraction,EF),并对比了3种指数在不同时刻使用光照温度(ΔT_(L)、CWSI_(L)、EF_(L))与阴影温度(ΔT_(S)、CWSI_(S)、EF_(S))后对土壤含水率的监测效果变化情况。结果表明:1)3种指数的监测效果会随时间发生变化,11:00与15:00时EF监测效果较好,13:00时CWSI监测效果较好,ΔT的监测效果较差但随时间波动最小;2)拔节期在区分光照温度与阴影温度后监测效果在11:00时提升幅度最大,EF、EF_(S)、EF_(L)的R^(2)分别为0.54、0.65、0.78,CWSI、CWSI_(S)、CWSI_(L)的R^(2)分别为0.47、0.64、0.70,抽雄期与灌浆期使用光照温度对监测效果提升不大,但使用阴影温度的指数监测效果有明显降低,在13:00时CWSIS较CWSI有最大降幅,R^(2)降幅分别为0.11、0.06;3)在拔节期与抽雄期使用11:00的EFL,在灌浆期使用13:00的CWSI能取得最好的土壤含水率监测效果,验证期预测土壤含水率的R2分别为0.75、0.75、0.89。该研究可以为无人机热红外监测土壤含水率提供参考。
文摘冠层温度(canopy temperature,T_(c))是作物水分胁迫计算的基础。准确地剔除热红外图像中的土壤背景,可以提高作物水分的监测精度。该研究以4种水分处理的拔节期夏玉米为研究对象,借助无人机可见光和热红外图像,采用红绿比值指数(red-green ratio index,RGRI)法提取研究区域的面状玉米冠层温度的空间分布信息,并分析每幅热红外图像上冠层温度的累积频率。该并提出了两种改进作物水分胁迫指数(crop water stress index,CWSI)性能的方法,一是使用基于正态分布的不同统计分位数分割冠层温度,并基于不同统计分位数上的平均冠层温度计算CWSI(记为CWSI_(TcF%))。二是基于冠层温度方差(canopy temperature variance,V_(ar)),将玉米冠层数据分为4个区间:区间Ⅰ,T_(c)≤40,V_(ar)≤10;区间Ⅱ,T_(c)≤40,10<V_(ar)≤20;区间Ⅲ,35<T_(c)<45,Var>20;区间Ⅳ,40<T_(c)<50,0<V_(ar)≤20,并在各自区间上选择最敏感的统计分位数计算CWSI(记为CWSI_(n))。研究结果表明:1)利用2020年和2021年两年数据计算的CWSI_(n)与作物生理指标(气孔导度G_(s)、净光合速率P_(n)、蒸腾速率T_(r))间的决定系数R2分别为0.72、0.52、0.62,nRMSE分别为23.96%、24.06%、25.60%,模型拟合精度高于原始CWSI(R^(2)分别为0.73、0.34、0.46,nRMSE分别为23.69%、28.27%、30.21%),但与CWSITcF%差别不大(R2分别为0.74、0.54、0.61,nRMSE分别为22.87%、23.74%、25.61%);2)虽然CWSI_(TcF%)能提高诊断作物水分胁迫的精度,但最敏感的冠层温度区间在年际间相差较大(2020,61.17%;2021,49.38%;两年数据,83.51%),而CWSI_(n)稳定性更高(与生理指标间的nRMSE分别为:2020年16.60%、27.37%、28.49%;2021年21.60%、18.95%、22.64%)。因此,综合来看CWSI_(n)可以更加精确地监测作物水分胁迫,利用该改进方法可为无人机遥感精准监测作物水分胁迫状况提供参考。
文摘为了准确提取作物冠层温度,监测作物水分亏缺状态,以不同水分处理的生菜为研究对象,分别利用手持式热像仪和佳能相机获取生菜的热红外和可见光图像,计算生菜冠层可见光图像与热红外图像的仿射变换参数,并进行配准融合,以获取生菜冠层区域的热红外图像,而后计算不同处理下的基于冠层温度的水分胁迫指数(Crop Water Stress Index, CWSI)与日蒸散量(Evapotranspiration,ET),分析不同灌溉处理下CWSI同ET的相关关系来监测生菜水分亏缺程度。结果表明,基于仿射变换的热红外目标提取方法可以实现生菜冠层的准确提取,剔除背景后生菜冠层的平均温度值由20.25℃下降至19.25℃。不同水分处理下的生菜热红外冠层的CWSI值展示出明显的差异,且CWSI与ET呈显著负相关,当CWSI越大,ET越小,表明CWSI可以应用在生菜水分胁迫状态监测,能够很好的反应土壤水分含量变化状况。
文摘马铃薯水分胁迫状态监测方法研究对于马铃薯生长品质和产量提升有重要作用。基于热红外图像和可见光图像可以计算得到作物水分胁迫指数(crop water stress index,CWSI),并进行作物水分胁迫状态的判断。为了自动化、高通量、无损的连续采集可见光、热红外图像和原始温度数据,本研究集成开发了双目相机和热红外相机的小型作物巡检图像采集系统。根据不同功能需求,对硬件部分进行分类模块化设计,包括主控模块、运动控制模块、图像采集模块和实时监控模块,其中主控模块实现对图像采集模块的拍照控制、对图像和温度数据的传输保存、与运动控制模块数据交互。基于机器人操作系统(ROS)架构设计多个节点以发布/订阅的模式实现各个模块节点之间通信,包括运动控制节点、热红外相机节点和双目相机节点。通过实验室内1d的系统可行性测试得出,运动模块控制精度满足图像采集需求,各个模块和节点控制程序可以协同完成图像采集和本地存储,通过在温室内为期18d系统稳定性测试与应用,共进行648次巡检采集,每次巡检耗时3min,得到11664张可见光图像,5832张热红外图像,5832份原始温度数据,证明系统运行稳定、图像、温度数据正常采集,实现自动化、高通量、无损获取所需数据的功能。该系统为作物表型信息获取提供了一种有效的技术和装备支撑。
文摘滴灌技术结合节水灌溉制度可显著提高作物水分利用效率,但针对滴灌条件下冬小麦节水灌溉制度的优化研究相对较少,利用作物模型优化节水灌溉制度可以弥补田间试验的不足,对于作物精确灌溉具有重要的指导意义。本研究利用胶东冬小麦滴灌节水试验数据(2016—2019年)评价了根区水质模型(RZWQM-CERES)的适应性,并模拟评价了不同节水滴灌制度对冬小麦产量和水分利用效率的影响,以筛选最佳节水滴灌制度。结果表明RZWQM-CERES可以较好地模拟土壤水分、冬小麦生长和产量对不同滴灌处理和季节的响应,其中模拟0~90 cm土壤贮水量的均方根误差(RMSE)为22.7~32.3 mm、相对均方根误差(NRMSE)为11.9%~16.3%、决定系数(R2)为0.52~0.69,模拟收获期生物量的RMSE为1184~1904 kg hm-2、NRMSE为9.9%~16.8%、R2为0.67,模拟产量的RMSE为361~491 kg hm^(–2)、NRMSE为5.7%~7.8%、R2为0.75。长期模拟结果表明该地区冬小麦需水关键期为孕穗期(丰水年和平水年)或拔节期(枯水年)。针对不同降水年型冬小麦产量和水分利用效率对灌溉量的响应差异,筛选滴灌条件下冬小麦最佳灌溉制度为:丰水年在拔节期和开花期各灌水45mm;平水年(或枯水年)在拔节期、孕穗期及开花期各灌水35mm(或45 mm)。本研究结果扩展了RZWQM-CERES优化冬小麦滴灌制度的应用潜力,为实施冬小麦精确灌溉提供了重要的技术支持。
