Ge Jiankun, Liu Huanhuan, Gong Xuewen, Yu Zihui, Li Lusheng, Li Yanbin
Henan Key Laboratory of Crop Water Use, School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China.
Plants (Basel). 2023 Apr 12;12(8):1625. doi: 10.3390/plants12081625.
Mastering root distribution is essential for optimizing the root zone environment and for improving water use efficiency, especially for crops cultivated in greenhouses. Here, we set up two irrigation amount levels based on measurements of the cumulative 20 cm pan evaporation () (i.e., : 0.9 ; : 0.5 ), and three ventilation modes through opening the greenhouse vents at different locations (: open the roof vents only; : open both the roof and south vents; : open the south vents only) to reveal the effects of the ventilation mode and irrigation amount on the root distribution of greenhouse tomato. Six treatments were designed in blocks with the ventilation mode as the main treatment and the irrigation amount as the vice treatment. On this basis, the normalized root length density (NRLD) model of six treatments was developed by considering air environment, soil water and temperature conditions, root length density (RLD) and yield. The results showed that air speed of the was significantly higher than and ( < 0.01), and the air temperature and relative humidity under different ventilation showed the rule: T > > . There was a significant third-order polynomial function relationship between NRLD and soil depth, and the coefficient of the cubic term () had a bivariate quadratic polynomial function relationship with irrigation amount and air speed (determination coefficient, = 0.86). Root mean square errors of the simulated and measured value of NRLD under , and were 0.20, 0.23 and 0.27 in 2020, and 0.31, 0.23 and 0.28 in 2021, respectively, normalized root mean squared errors were 15%, 17%, 20% in 2020, and 23%, 18% and 21% in 2021. The RLD distribution ratio from the ground surface to a one-quarter relative root depth was 74.1%, and 88.0% from the surface to a one-half relative root depth. The results of the yield showed that a better combination of ventilation and irrigation was recommended as combined with .
掌握根系分布对于优化根区环境和提高水分利用效率至关重要,特别是对于温室栽培的作物。在此,我们根据20厘米蒸发皿累积蒸发量()的测量结果设置了两个灌溉量水平(即:0.9;:0.5),并通过在不同位置打开温室通风口设置了三种通风模式(:仅打开屋顶通风口;:同时打开屋顶和南侧通风口;:仅打开南侧通风口),以揭示通风模式和灌溉量对温室番茄根系分布的影响。以通风模式为主处理、灌溉量为副处理进行区组设计,设置了六个处理。在此基础上,通过考虑空气环境、土壤水分和温度条件、根长密度(RLD)和产量,建立了六个处理的归一化根长密度(NRLD)模型。结果表明,的风速显著高于和(<0.01),不同通风条件下的气温和相对湿度呈现规律:T>>。NRLD与土壤深度之间存在显著的三次多项式函数关系,三次项系数()与灌溉量和风速存在二元二次多项式函数关系(决定系数,=0.86)。2020年、和条件下NRLD模拟值与实测值的均方根误差分别为0.20、0.23和0.27,2021年分别为0.31、0.23和0.28,归一化均方根误差2020年分别为15%、17%、20%,2021年分别为23%、18%和21%。从地表到相对根深度四分之一处的RLD分布比例为74.1%,从地表到相对根深度二分之一处为88.0%。产量结果表明,建议通风与灌溉的较好组合为与。