CAJ | 학술논문

由于光合速率优劣直接影响番茄的产量与品质，而其光合速率主要受温度和光子通量密度影响，因此如何实现不同温度条件下的光饱和点信息动态获取，是光环境调控技术发展亟需解决的重要问题。针对上述问题，该文提出了基于遗传算法的番茄幼苗光合作用优化调控模型。其利用光合速率双因素嵌套试验获取多维数据，构建温度、光子通量密度耦合的光合速率多元非线性回归模型，设计了基于遗传算法的光合速率模型寻优方法，得到不同温度条件下的光饱和点，继而建立以光饱和点为目标值的番茄幼苗光合优化调控模型。模型验证试验结果表明，提出的方法可动态获取不同温度条件下光饱和点，光饱和点实测值与计算值决定系数为0.920，最大相对误差小于6%，具有较高精度，对提高设施光环境调控效率具有重要的意义。
유우광합속솔우렬직접영향번가적산량여품질，이기광합속솔주요수온도화광자통량밀도영향，인차여하실현불동온도조건하적광포화점신식동태획취，시광배경조공기술발전극수해결적중요문제。침대상술문제，해문제출료기우유전산법적번가유묘광합작용우화조공모형。기이용광합속솔쌍인소감투시험획취다유수거，구건온도、광자통량밀도우합적광합속솔다원비선성회귀모형，설계료기우유전산법적광합속솔모형심우방법，득도불동온도조건하적광포화점，계이건립이광포화점위목표치적번가유묘광합우화조공모형。모형험증시험결과표명，제출적방법가동태획취불동온도조건하광포화점，광포화점실측치여계산치결정계수위0.920，최대상대오차소우6%，구유교고정도，대제고설시광배경조공효솔구유중요적의의。
As one of the world's major greenhouse crops, the yield and quality of tomato is significantly affected by photosynthesis. Temperature and photon flux density are important factors affecting photosynthesis; how to effectively evaluate their effects on tomato’s photosynthesis, establish optimal model of photosynthetic rate and improve the rate of photosynthesis have become urgent problems in the field of crop cultivation. In view of these requirements, an optimal photosynthesis regulation model of tomato seedlings based on genetic algorithm was proposed in the paper. Firstly, the two-factor nested test of photosynthetic rate was conducted with Li-6400XT under the conditions that the tomato seedling”Wool powder 802”was used as the test sample, the temperature gradients were set at 16℃, 21℃, 25℃, 29℃, 33℃, 37℃, respectively, and the photon flux density gradients were set at 0, 50, 100, 200, 400, 600, 800, 1000, 1200, 1500μmol/m2·s, respectively. Secondly, a photosynthetic rate model coupling temperature and photon flux density was built by processing multivariate nonlinear regression of the experimental data obtained. Then, the optimization algorithm of photosynthetic rate based on genetic algorithm was designed under different temperature gradients, by which the light saturation points under different temperature conditions were obtained. Furthermore, the optimal regulatory model of tomato seedlings’ photosynthesis was established aiming at light saturation points. Finally, the model verification test was conducted by comparing and analyzing the measured data and calculated data by the model under 17 values of light saturation points at different temperatures. The results showed that the correlation coefficient of the values between the measured and the calculated was 0.920, the slope of the fitted line was 1.011, and the ordinate intercept was 0.236, which indicated that these two values had good correlation and similarity. Besides, the maximum of relative error was less than 6%, which proved that the proposed model had a high accuracy and had access to the light saturation points at different temperatures dynamically. The conclusion provides a theoretical basis for the optimal regulation of photosynthetic rate and is of great significance for raising the output of tomato in greenhouse and improving the economic benefits.