ارزﻳﺎﺑﻲ ﺗﺤﻤﻞ ﺧﺸﻜﻲ ژﻧﻮﺗﻴﭗﻫﺎی ﻟﻮﺑﻴﺎ (Phaseolus vulgaris L ) در ﺷﺮاﻳﻂ آزﻣﺎﻳﺸﮕﺎه
پذیرفته شده برای پوستر
عنوان دوره: سیزدهمین کنگره زراعت و اصلاح نباتات ایران
نویسندگان
1داﻧﺸﺠﻮی ﻛﺎرﺷﻨﺎﺳﻲ ارﺷﺪ اﺻﻼح ﻧﺒﺎﺗﺎت،
2داﻧﺸﻴﺎر داﻧﺸﻜﺪه ﻛﺸﺎورزی داﻧﺸﮕﺎه ﮔﻴﻼن،
3اﺳﺘﺎدﻳﺎر داﻧﺸﻜﺪه ﻛﺸﺎورزی داﻧﺸﮕﺎه ﮔﻴﻼن،
4ﻫﻴﺌﺖ ﻋﻠﻤﻲ داﻧﺸﮕﺎه ﮔﻴﻼن
چکیده
از دﻻﻳﻞ ﻋﻤﺪه ﻧﺎﻛﺎﻓﻲ ﺑﻮدن ﺗﻮﻟﻴﺪ ﻣﺤﺼﻮﻻت ﻛﺸﺎورزی در ﺑﺴﻴﺎری از ﻧﻘﺎط دﻧﻴﺎ وﺟﻮد ﭘﺪﻳﺪه ﺧﺸﻜﻲ اﺳﺖ. ﭘﮋوﻫﺶ اﻧﺠﺎم ﺷﺪه ﺑﺎ ﻫﺪف ﺑﺮرﺳﻲ اﺛﺮ ﺗﻨﺶ ﺧﺸﻜﻲ ﺑﺮ روی 10 ژﻧﻮﺗﻴﭗ ﻟﻮﺑﻴﺎ در ﺷﺮاﻳﻂ آزﻣﺎﻳﺸﮕﺎﻫﻲ ﺻﻮرت ﮔﺮﻓﺖ. ﺗﻴﻤﺎر ﺗﻨﺶ ﺧﺸﻜﻲ ﺗﻮﺳﻂ ﭘﻠﻲ اﺗﻴﻠﻦﮔﻠﻴﻜﻮل )ﺻﻔﺮ ، 4- ، 8- ، و 12- ﺑﺎر( ﺑﺼﻮرت ﻃﺮح ﻓﺎﻛﺘﻮرﻳﻞ )ﻋﺎﻣﻞ اول ژﻧﻮﺗﻴﭗ و ﻋﺎﻣﻞ دوم ﺗﻴﻤﺎرﻫﺎی ﺗﻨﺶ( در ﻗﺎﻟﺐ ﻃﺮح ﻛﺎﻣﻼ ﺗﺼﺎدﻓﻲ ﺑﺎ 3 ﺗﻜﺮار در آزﻣﺎﻳﺸﮕﺎه داﻧﺸﻜﺪه ﻛﺸﺎورزی داﻧﺸﮕﺎه ﮔﻴﻼن، در ﻳﻚ آﺑﺎن ﻣﺎه ﺳﺎل 1392ﻣﻮرد ﺑﺮرﺳﻲ ﻗﺮار ﮔﺮﻓﺖ. ﻧﺘﺎﻳﺞ ﺣﺎﺻﻞ از ﺗﺠﺰﻳﻪ ﻛﻼﺳﺘﺮ ﺑﻪ روش ﺑﻴﻦ ﮔﺮوﻫﻲ ﺑﻌﺪ از اﻧﺘﺨﺎب ﻣﻨﺎﺳﺐﺗﺮﻳﻦ ﺧﻂ ﺑﺮش ﻧﺸﺎن داد ﻛﻪ در ﺗﻴﻤﺎر ﺷﺎﻫﺪ ژﻧﻮﺗﻴﭗﻫﺎ ﺑﻪ ﺳﻪ ﮔﺮوه، در ﭘﺘﺎﻧﺴﻴﻞ 4 ﺑﺎر ﺑﻪ دو ﮔﺮوه، در ﭘﺘﺎﻧﺴﻴﻞ 8 ﺑﺎر ﺑﻪ ﺳﻪ ﮔﺮوه و در ﭘﺘﺎﻧﺴﻴﻞ 12 ﺑﺎر ﺑﻪ دو ﮔﺮوه ﺗﻘﺴﻴﻢ ﺷﺪﻧﺪ. ﻧﺘﺎﻳﺞ ﺣﺎﺻﻞ از ﺗﺠﺰﻳﻪ ﻛﻼﺳﺘﺮ ﺑﺮای ﭼﻬﺎر ﺳﻄﺢ ﺗﻨﺶ ژﻧﻮﺗﻴﭗﻫﺎ را ﺑﻪ 4 ﮔﺮوه ﺗﻘﺴﻴﻢ ﻧﻤﻮد و ﺗﺠﺰﻳﻪ ﺗﺎﺑﻊ ﺗﺸﺨﻴﺺ ﺑﻌﺪ از رﺳﻢ ﻣﻨﺎﺳﺐﺗﺮﻳﻦ ﺧﻂ ﺑﺮش ﺻﺤﺖ ﮔﺮوﻫﺒﻨﺪی را 90 درﺻﺪ ﻧﺸﺎن داد.
کلیدواژه ها
Title
Evaluation of Drought Tolerance of Rapeseed (Phaseolus vulgaris L.) Genotypes in Laboratory
Authors
Abstract
Drought stress in the major affecting factor in crop production of many parts of the world. This study was done to evalute the effect of drought tolerance an ten common bean variation of germination stage.The experiment was conducted in a RCBD Design with factorial arrangement in 3 replications. The first factor was stress condition which induced by polyethylene glycol at zero, -4, -8 and -12 bar in laboratory of guilan agriculture school was evaluated at (2013/10/23).
The result of cluster analysis based on UPGMA Algorithm grouped genotypes at no stress, -4, -8, -12 bar osmotic condition in 3, 2, 3 and 3 group respectively. Cluster analysis of genotypes at the 4 stress condition were grouped genotypes x environment interaction in 4 groups. Accuracy of cluster analysis revealed by discriminant analysis with a 90٪ rate.
The result of cluster analysis based on UPGMA Algorithm grouped genotypes at no stress, -4, -8, -12 bar osmotic condition in 3, 2, 3 and 3 group respectively. Cluster analysis of genotypes at the 4 stress condition were grouped genotypes x environment interaction in 4 groups. Accuracy of cluster analysis revealed by discriminant analysis with a 90٪ rate.
Keywords
Beans, Cluster analysis, discrimination function analysis, grouping, polyethylene glycol