ﺑﺮرﺳﯽ ﭘﺎﺳﺦ ﻋﻤﻠﮑﺮدي و ﻓﻨﻮﻟﻮژﯾﮏ ارﻗﺎم ﻣﺨﺘﻠﻒ ﮔﻨﺪم دﯾﻢ ﺑﻪ ﻋﻮاﻣﻞ آب و ﻫﻮاﯾﯽ در ﻣﻨﺎﻃﻖ ﻣﺨﺘﻠﻒ ﮐﺸﻮر

Exploring the effects of weather variables on rainfed winter wheat cultivars performance in Iran

در ﺗﺤﻘﯿﻖ ﺣﺎﺿﺮ ﭘﺎﺳﺦ ﻋﻤﻠﮑﺮدي ﻓﻨﻮﻟﻮژﯾﮑﯽ اروﻗ ﺎم ﻫﻤﺎ ﺳﺮداري ﺑﻪ ﻋو ﻮاﻣﻞ ﻣﺨﺘﻠﻒ آب ﻫﻮاﯾﯽ و ﮔوﯿﺎﻫﯽ در ﺳﻪ اﺳﺘﺎن آذرﺑﺎﯾﺠﺎن ﻏﺮﺑﯽ، ﮐﺮدﺳﺘﺎن ﺧﺮاﺳﺎن رﺿو ﻮي در ﺳﺎﻟﻬﺎي زراﻋﯽ 1394-95 1396-97 دور ﺷﺮاﯾﻂ ﻣﺰرﻋﻪ ﮐﺸﺎوزر ﻣﻮرد ﺑﺮرﺳﯽ ﻗﺮار ﮔﺮﻓﺖ ﺻﻔﺎت . ﻣﻮرد ﺑﺮرﺳﯽ ﺷﺎﻣﻞ ﻋﻤﻠﮑﺮد اﺟﺰاي ﻋﻤﻠﮑﺮدو ، روز ﺗﺎ ﮔﻠﺪﻫﯽ روز ﺗﺎ رﺳﯿﺪوﮔﯽ ﺑﻮد ﻧﺘﺎﯾﺞ ﺑﺪﺳ. ﺖ آﻣﺪه ﻧﺸﺎن ﻣﯽ دﻫﺪ ﻋﻤﻠﮑﺮد در ﺳﺎل زراﻋﯽ 1396-97 ﻋﻠﯿﺮﻏﻢ ﮐﻮﺗﺎه ﺗﺮ ﺑﻮدن ﻃﻮل دوره رﺷﺪ ﺑﺎﻻﺗﺮ ﺑﻮده اﺳﺖ در ﻣﺠﻤﻮع. ﻋﺮ دو ﺳﺎل آزﻣﺎﯾﺶ اﺳﺘﺎن آذرﺑﺎﯾﺠﺎن ﻏﺮﺑﯽ و ﮐﺮدﺳﺘﺎن ﺑﻪ ﺗﺮﺗﯿﺐ داراي ﺑﺎﻻﺗﺮﯾﻦ ﭘﺎﯾﯿﻦ ﺗﺮﯾﻦ وﻣﺘ ﻮﺳﻂ ﻋﻤﻠﮑﺮد ﺑﻮدﻧﺪ ﺗﻨﺶ ﺧ. ﺸﮑﯽ در اﻧﺘﻬﺎي ﻓﺼﻞ رﺷﺪ در اﺳﺘﺎن ﺧﺮاﺳﺎن رﺿﻮي در ﺳﺎل زراﻋﯽ 1396 97 ﺑﻮاﺳﻄ-ﻪ ﮐﺎﻫﺶ ﺗﻌﺪاد داﻧﻪ در ﺳﻨﺒﻠﻪ ﺑﺎﻋﺚ ﮐﺎﻫﺶ ﻋﻤﻠﮑﺮد ﺷﺪه اﺳﺖ ﻧﺘﺎﯾﺞ ﺣﺎ. ﺻﻞ از ﺗﺠﺰﯾﻪ رﮔﺮﺳﯿﻮﻧﯽ ﮔﺎم ﺑﻪ ﮔﺎم ﻧﺸﺎن ﻣﯽ دﻫﺪ ﻣﻬﻤﺘﺮﯾﻦ ﺻﻔﺖ ورودي ﺑﻪ ﻣﺪل رﮔﺮﺳﯿﻮﻧﯽ در ﺷﮑﻞ ﮔﯿﺮي ﻋﻤﻠﮑﺮد ارﻗﺎم ﻣﺬﮐﻮر در ﺳﺎل زراﻋﯽ 1394-95 ﺻﻔﺖ ﺗﻌﺪاد داﻧﻪ در ﺳﻨﺒﻠﻪ ﺑﻮده اﺳﺖ ﻫﻤﭽﻨﯿﻦ .ﻧﺘ ﺎﯾﺞ ﻧﺸﺎن ﻣﯽ دﻫﺪ در ﺳﺎل زراﻋﯽ 1396-97 ﻣﺘﻮﺳﻂ دﻣﺎي ﺑﯿﺸﯿﻨﻪ ﺑﺎﻻﺗﺮﯾﻦ ﺳﻬﻢ را در ﺗﻮﺟﯿﻪ ﺗﻐﯿﯿﺮات ﻋﻤﻠﮑﺮدي ارﻗﺎم را داﺷﺖ در ﮐﻨﺎر . ﺻﻔﺎت ذﮐﺮ ﺷﺪه، ﺻﻔﺖ روز ﺗﺎ ﮔﻠﺪﻫﯽ ﺻﻔﺖ دﯾﮕﺮي ﺑﻮد ﮐﻪ در ﻣﺪل ﻫﺎي رﮔﺮﺳﯿﻮﻧﯽ ارﻗﺎم وارد ﺷﺪ.

In the present study, the yield and phenological responses of Homa and Sardari cultivars to different weather variables was investigated in three provinces of Iran include West Azerbaijan, Kurdistan and Khorasan Razavi during 2015-16 and 2017-18. The studied traits were included yield and yield components, days to flowering and days to maturity. The results showed that in 2016-17, although the growth season was shorter, higher yield was obtained. Overall, two years of experiment showed the highest and lowest average yields belonged to West Azerbaijan and Kurdistan province, respectively. Drought stress at the end of the growing season in Khorasan Razavi province in 2017-18 caused a decrease in seeds per spike. The results of stepwise regression analysis stated that the most important variable which input to the regression model was the number of seeds per spike in both mentioned cultivars in the 2015-16 growing season. Also, the results showed that the average maximum temperature with days to flowering were the most reliable variables which justified the yield variation of the cultivars in 2017-18 in regression models.