Department of Horticultural Science, Faculty of Agriculture, Tarbiat Modares University (TMU), Tehran, Iran.
Department of Horticulture, College of Aburaihan, University of Tehran (UT), Tehran, Iran.
Sci Rep. 2018 Jul 2;8(1):9977. doi: 10.1038/s41598-018-27858-4.
The main aim of the present investigation is modeling and optimization of a new culture medium for in vitro rooting of G×N15 rootstock using an artificial neural network-genetic algorithm (ANN-GA). Six experiments for assessing different media culture, various concentrations of Indole - 3- butyric acid, different concentrations of Thiamine and Fe-EDDHA were designed. The effects of five ionic macronutrients (NH, NO, Ca, K and Cl) on five growth parameters [root number (RN), root length (RL), root percentage (R%), fresh (FW) and dry weight (DW)] were evaluated using the ANN-GA method. The R correlation values of 0.88, 0.88, 0.98, 0.94 and 0.87 between observed and predicted values were acquired for all five growth parameters, respectively. The ANN-GA results indicated that among the input variables, K (7.6) and NH4 (4.4), K (7.7) and Ca (2.8), K (36.7) and NH (4.3), K (14.7) and NH (4.4) and K (7.6) and NH (4.3) had the highest values of variable sensitivity ratio (VSR) in the data set, for RN, RL, R%, FW and DW, respectively. ANN-GA optimized LS medium for G×N15 rooting contained optimized amounts of 1 mg L IBA, 100, 150, or 200 mg L Fe-EDDHA and 1.6 mg L Thiamine. The efficiency of the optimized culture media was compared to other standard media for Prunus rooting and the results indicated that the optimized medium is more efficient than the others.
本研究的主要目的是使用人工神经网络-遗传算法（ANN-GA）对 G×N15 砧木的体外生根新培养基进行建模和优化。设计了六组实验来评估不同的培养基培养、不同浓度的吲哚-3-丁酸、不同浓度的硫胺素和 Fe-EDDHA。使用 ANN-GA 方法评估了五种离子大量营养素（NH、NO、Ca、K 和 Cl）对五种生长参数[根数量（RN）、根长（RL）、根百分比（R%）、鲜重（FW）和干重（DW）]的影响。对于所有五个生长参数，分别获得了观察值和预测值之间 0.88、0.88、0.98、0.94 和 0.87 的 R 相关值。ANN-GA 结果表明，在输入变量中，K（7.6）和 NH4（4.4）、K（7.7）和 Ca（2.8）、K（36.7）和 NH（4.3）、K（14.7）和 NH（4.4）和 K（7.6）和 NH（4.3）对 RN、RL、R%、FW 和 DW 的变量敏感比（VSR）具有最高值。用于 G×N15 生根的 ANN-GA 优化 LS 培养基包含优化量的 1 mg·L-1 IBA、100、150 或 200 mg·L-1 Fe-EDDHA 和 1.6 mg·L-1 硫胺素。优化培养基的效率与其他用于李属生根的标准培养基进行了比较，结果表明优化培养基比其他培养基更有效。
