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大田玉米水分脅迫指數(shù)經(jīng)驗模型建立方法
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國家重點研發(fā)計劃項目(2017YFC0403203)、自治區(qū)科技支疆項目(2016E02105)、西北農(nóng)林科技大學學科重點建設(shè)項目


Establishing Method of Crop Water Stress Index Empirical Model of Field Maize
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    摘要:

    作物水分脅迫指數(shù)(Crop water stress index,CWSI)經(jīng)驗模型的建立與氣候和種植條件密切相關(guān)。以內(nèi)蒙古自治區(qū)鄂爾多斯市達拉特旗大田玉米為對象,研究了CWSI的最優(yōu)經(jīng)驗模型。玉米在營養(yǎng)生長階段(Vegetative stage,V期)、生殖期(Reproductive stage,R期)和成熟期(Maturation stage,M期)分別進行不同灌溉水平的處理,采用紅外測溫傳感器采集玉米冠層溫度。分別結(jié)合田間和實驗地旁標準氣象站空氣溫濕度數(shù)據(jù)建立了CWSI經(jīng)驗模型的無水分脅迫基線?;?種無水分脅迫基線,分別利用飽和水汽壓梯度獲取的無蒸騰作用基線和5℃無蒸騰作用基線建立了4種CWSI經(jīng)驗模型,得出反映大田玉米水分脅迫狀況的關(guān)系曲線,并進行對比。結(jié)果表明,基于實驗地旁標準氣象站空氣溫濕度數(shù)據(jù)建立的CWSI經(jīng)驗模型具有很大的波動性,并不能很好反映玉米的水分脅迫狀況,其值常常超出正常范圍(0~1)。而基于田間空氣溫濕度數(shù)據(jù)建立的CWSI經(jīng)驗模型則可以很好地監(jiān)測內(nèi)蒙古自治區(qū)大田玉米水分脅迫狀況,M期3種不同水分處理100%、52%和28%具有較好的CWSI數(shù)值梯度,分別為0.03、0.14和0.32。相比于基于飽和水汽壓梯度獲取的無蒸騰作用基線,以5℃作為無蒸騰作用基線時得到的CWSI數(shù)值較小,可以較好地反映水分脅迫狀況,對應上述M期3種不同水分處理CWSI值分別為0.02、0.10和0.22,具有較為合理的梯度。經(jīng)過初步檢驗和分析,認為基于田間空氣溫濕度數(shù)據(jù)建立的CWSI經(jīng)驗模型較為合理,可以有效監(jiān)測大田玉米水分脅迫狀況。

    Abstract:

    The establishment of crop water stress index (CWSI) empirical model was closely related to climate and planting condition. Filed maize CWSI empirical model was established in Dalat Banner, Ordos City, Inner Mongolia, trying to get the best empirical model. Different irrigation strategies were applied in the vegetative stage (V), reproductive stage (R) and maturation stage (M), respectively. Maize canopy temperature was obtained by infrared thermometry. Air temperature and humidity were acquired in the field and the adjacent standard weather station, respectively. Firstly, two CWSI lower lines was built, combined with maize canopy temperature, and based on field and weather station air temperature and humidity. And then based on the above CWSI lower lines, four CWSI empirical models were established with 5℃ as the CWSI upper line or using the saturated vapor pressure gradient (VPG) to get the CWSI upper line, respectively. Results showed that CWSI empirical model based on weather station air temperature and humidity was very volatile, its value always beyond the normal range of 0~1, which can not reflect the water stress status of maize. However, CWSI empirical model based on filed air temperature and humidity monitored the water stress status well. CWSI value of three different treatments of 100%, 52% and 28% in M stage were 0.03, 0.14 and 0.32, respectively, having good numerical gradient. The CWSI values, using 5℃ as the upper line, were smaller, compared with the CWSI values using the upper line based on VPG, which could reflect the water stress status well. The CWSI values in M stage were 0.02, 0.10 and 0.22, respectively, with a reasonable numerical gradient. After preliminary analysis, it was considered that the CWSI empirical model based on filed air temperature and humidity was reasonable and could effectively monitor the water stress status of filed maize in Dalat Banner, Ordos City, Inner Mongolia.

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張立元,牛亞曉,韓文霆,劉治開.大田玉米水分脅迫指數(shù)經(jīng)驗模型建立方法[J].農(nóng)業(yè)機械學報,2018,49(5):233-239. ZHANG Liyuan, NIU Yaxiao, HAN Wenting, LIU Zhikai. Establishing Method of Crop Water Stress Index Empirical Model of Field Maize[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(5):233-239.

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  • 收稿日期:2017-11-01
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  • 在線發(fā)布日期: 2018-05-10
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