ﭘﺎﺳﺦ ﺧﺼﻮﺻﯿﺎت ﻣﺮﺗﺒﻂ ﺑﺎ ﺑﺮگ اﮐﻮﺗﯿﭗﻫﺎي ﻣﺨﺘﻠﻒ ﻧﻌﻨﺎع ﺑﻪ ﺗﻨﺶ ﮐﻠﺮﯾﺪﺳﺪﯾﻢ

Response of leaf attributes of different mint ecotypes to NaCl stress

ﺳﻄﺢ ﺑﺮگ ﯾﮏ ﺷﺎﺧﺺ ﮐﻠﯿﺪي ﺑﺮاي رﺷﺪ و ﺗﻮﻟﯿﺪات ﮔﯿﺎﻫﯽ و ﻋﺎﻣﻞ ﺗﻌﯿﯿﻦﮐﻨﻨﺪه در ﮐﺎراﯾﯽ ﻣﺼﺮف ﻧﻮر ﻣﺤﺴﻮب ﻣﯽﺷﻮد. از ﺟﻤﻠﻪ روشﻫﺎي ﻣﻌﻤﻮل ﺑﺮاي ﺗﺨﻤﯿﻦ ﺳﻄﺢ ﺑﺮگ ﺗﺠﺰﯾﻪ و ﺗﺤﻠﯿﻞﻫﺎي رﮔﺮﺳﯿﻮﻧﯽ ﻣﯽﺑﺎﺷﺪ ﮐﻪ ﺳﻄﺢ ﺑﺮگ ﺑﻪ ﻋﻨﻮان ﻣﺘﻐﯿﺮ ﻣﺴﺘﻘﻞ و ﻃﻮل و ﻋﺮض ﺑﺮگ ﺑﻪ ﻋﻨﻮان ﻣﺘﻐﯿﺮ واﺑﺴﺘﻪ ﻣﯽﺑﺎﺷ.ﺪ در اﯾﻦ ﻣﻄﺎﻟﻌﻪ، ﺳﻄﺢ ﺑﺮگ 18 اﮐﻮﺗﯿﭗ ﮔﯿﺎه داروﯾﯽ ﻧﻌﻨﺎع ﺑﺎ روشﻫﺎي ANFIS ﺷﺒﮑﻪ ﻋﺼﺒﯽ ﻣﺼﻨﻮﻋﯽ )RBF و MLP(، رﮔﺮﺳﯿﻮنﻫﺎي ﺧﻄﯽ و ﻏﯿﺮﺧﻄﯽ ﺑﺎ اﺳﺘﻔﺎده از دو ورودي ﻃﻮل و ﻋﺮض ﺑﺮگ در 4 ﺳﻄﺢ ﺗﻨﺶ ﺷﻮري )ﺻﻔﺮ، 2/5، 5 و 7/5 دﺳﯽزﯾﻤﻨﺲ ﺑﺮ ﻣﺘﺮ( ﺗﺨﻤﯿﻦ زده ﺷﺪ. ﻧﺘﺎﯾﺞ ﻧﺸﺎن داد ﮐﻪ ﻫﻤﺒﺴﺘﮕﯽ ﺑﺎﻻﯾﯽ ﺑﯿﻦ ﻃﻮل و ﻋﺮض ﺑﺮگ ﺑﺎ ﺳﻄﺢ ﺑﺮگ وﺟﻮد داﺷﺘﻪ اﺳﺖ ﮐﻪ ﻫﻤﺒﺴﺘﮕﯽ ﻋﺮض ﺑﺎ ﺳﻄﺢ ﺑﺮگ ﺑﯿﺸﺘﺮ ﺑﻮد. از ﺑﯿﻦ ﻣﺪلﻫﺎي رﮔﺮﺳﯿﻮﻧﯽ در ﻫﺮ دو ﺑﺮداﺷﺖ و در ﺗﻤﺎﻣﯽ ﺳﻄﺢ ﺗﻨﺶ، ﻣﺪل NLR ﺑﻪ ﻋﻨﻮان ﺑﻬﺘﺮﯾﻦ و دﻗﯿﻖﺗﺮﯾﻦ ﻣﺪل ﻣﻌﺮﻓﯽ ﺷﺪه اﺳﺖ. ﻣﺪل ANFIS در ﻫﺮ دو ﺑﺮداﺷﺖ و در ﺗﻤﺎﻣﯽ ﺳﻄﺢ ﺗﻨﺶ ﺷﻮري ﻧﺴﺒﺖ ﺑﻪ ﺳﺎﯾﺮ ﻣﺪلﻫﺎ دﻗﺖ ﺑﺎﻻﺗﺮ و ﺧﻄﺎي ﮐﻤﺘﺮي داﺷﺘﻪ اﺳﺖ. ﺗﺠﺰﯾﻪ و ﺗﺤﻠﯿﻞ-ﻫﺎي ﺣﺎﺻﻞ از ﮐﻼﺳﺘﺮ ﻧﺸﺎن ﻣﯽدﻫﺪ ﮐﻪ ﺑﯿﺸﺘﺮﯾﻦ ﻣﻘﺪار ﻃﻮل، ﻋﺮض و ﺳﻄﺢ ﺑﺮگ در ﻫﺮ دو ﺑﺮداﺷﺖ و در ﺗﻤﺎم ﺷﺮاﯾﻂ ﺗﻨﺶ ﺷﻮري و ﻫﻤﭽﻨﯿﻦ ﺑﺪون ﺗﻨﺶ ﻣﺮﺑﻮط ﺑﻪ اﮐﻮﺗﯿﭗ 18 E ﺑﻮده ﮐﻪ ﻧﺴﺒﺖ ﺑﻪ ﺗﻨﺶﻫﺎي ﺷﻮري ﻣﻮﺟﻮد ﭘﺎﯾﺪار ﻣﯽﺑﺎﺷﺪ.

Leaf area is a key indicator for plant growth and productivity and a determining factor in light use efficiency. One of the most common methods for estimating leaf area is regression analysis where leaf area is as independent variable and leaf length and width as dependent variable. In this study, leaf area of 18 ecotypes of mint with ANFIS, Artificial Neural Network (RBF and MLP) methods, linear and nonlinear regressions using two leaf length and width inputs at 4 salinity stress levels (0, 2.5, 5 and 7.5 dS/m). The results showed that there was a high correlation between leaf length and width with leaf area, which was more correlated with leaf area. Among the regression models in both harvests and at all stress levels, the NLR model is presented as the best and most accurate model. The ANFIS model had higher accuracy and lower error than both models at both harvest and salinity levels. Cluster analysis showed that the highest length, width, and leaf area in both harvests and in all salinity and non-stress conditions belonged to the E18 ecotype, which were resistant to the existing salinity stresses.