寡照胁迫对温室番茄开花坐果特性的影响

以番茄品种“金冠5号”为试验材料，利用2015—2019年山东省农科院日光温室中不同层数的遮阳网模拟不同寡照(PAR≤200μmol·m^-2·s^-1)持续日数(0 d、1 d、3 d、5 d、7 d、9 d),观测番茄开花后各穗花开花期(Blooming Date, BD)、开花数(Number of Flowers, NoF)、开花率(Flower Rate, FR)、坐果率(Fruit Setting Rate, FSR),分析寡照胁迫对番茄开花坐果特性的影响，并基于温光效应(Accumulated Photo-thermal effectiveness, APTE)建立寡照胁迫对番茄开花坐果特性影响的模拟模型，对其进行验证，并与PAR日积分法(PAR)构建的模型进行对比。结果表明：寡照胁迫下，番茄六穗花开花期不同程度推迟，尤其是遭受寡照胁迫直接影响的第二、第三穗花开花期推迟最明显，幅度最大，持续寡照7—9 d,番茄第二穗花开花期较对照推迟一周左右；番茄单穗果实数、坐果率均随寡照持续天数的增加呈降低趋势，寡照持续时间越长、降幅越大；基于A...

Effects of less irradiation stress on the characteristics of flowering and fruit-setting of tomato in solar greenhouse

In this study, the tomato variety "Golden Crown No.5" was used as the test material. From 2015 to 2019, the sun-shading net was used in the solar greenhouse to design different duration days (0 d, 1 d, 3 d, 5 d, 7 d, and 9 d) of less irradiation (PAR≤200 μmol·m^-2 s^-1). Blooming Date (BD), Number of Flowers (NoF), Flower Rate (FR), and Fruit Setting Rate (FSR) of each ear of tomato were measured after flowering. Also, the influence of less irradiation stress on the characteristics of flowering and fruit setting in tomatoes was analyzed, and the simulated model of the influence of less irradiation stress on the characteristics of flowering and fruit setting in tomatoes was established based on the accumulated photo-thermal effectiveness (APTE), which was verified using independent data, and compared with the simulation model constructed by PAR daily integral method (PAR). The results show that the flowering time of six panicles of tomato is delayed to different degrees under less irradiation stress, especially for the second and third panicles directly affected by less irradiation stress. The flowering time of the second panicles of tomato is delayed by about one week compared with CK for 7-9 days. The number of fruit per panicle and fruit setting rate of tomato decreases with the increase of the duration of less irradiation, and the longer the duration of less irradiation, the greater the decrease. The model based on APTE significantly improves the prediction accuracy of tomato flowering and fruit setting characteristics under less irradiation stress. Compared with PAR method, The standard errors (RMSE) of BDC, NoFC, FRC and FSRC regression estimation of the second and third panicles of tomato are reduced by 25.5%, 16.7%, 21.2%, 23.8% and 31.4%, 22.4%, 25.2%, 26.6%, respectively.