ﻣﻜﺎنﻳﺎﺑﻲ QTL ﻫﺎی ﻣﺮﺗﺒﻂ ﺑﺎ ﺻﻔﺎت ﺧﻮﺷﻪ در ﺟﻤﻌﻴﺖ F8 ﺑﺮﻧﺞ اﻳﺮاﻧﻲ (Oryza sativa L) ﺗﺤﺖ ﺗﻨﺶﺧﺸﻜﻲ
پذیرفته شده برای پوستر
عنوان دوره: سیزدهمین کنگره زراعت و اصلاح نباتات ایران
نویسندگان
1داﻧﺸﺠﻮی ﻛﺎرﺷﻨﺎﺳﻲ ارﺷﺪ ﺑﻴﻮﺗﻜﻨﻮﻟﻮژی داﻧﺸﻜﺪه ﻛﺸﺎورزی و ﻣﻨﺎﺑﻊ ﻃﺒﻴﻌﻲ داﻧﺸﮕﺎه ﮔﻨﺒﺪ ﻛﺎووس،
2اﺳﺘﺎدﻳﺎر ﮔﺮوه ﺗﻮﻟﻴﺪات ﮔﻴﺎﻫﻲ داﻧﺸﻜﺪه ﻛﺸﺎورزی و ﻣﻨﺎﺑﻊ ﻃﺒﻴﻌﻲ داﻧﺸﮕﺎه ﮔﻨﺒﺪ ﻛﺎووس،
3داﻧﺸﺠﻮی دﻛﺘﺮی اﺻﻼح ﻧﺒﺎﺗﺎت داﻧﺸﻜﺪه ﻛﺸﺎورزی داﻧﺸﮕﺎه ﮔﻴﻼن،
4داﻧﺸﺠﻮی ﻛﺎرﺷﻨﺎﺳﻲ ارﺷﺪ ﺑﻴﻮﺗﻜﻨﻮﻟﻮژی داﻧﺸﮕﺎه ﭘﻴﺎم ﻧﻮر ﻛﺮج
چکیده
ﺑﻪ ﻣﻨﻈﻮر ﻣﻜﺎنﻳﺎﺑﻲ QTLﻫﺎی ﻣﺮﺗﺒﻂ ﺑﺎ ﺗﺤﻤﻞ ﺑﻪ ﺗﻨﺶ ﺧﺸﻜﻲ و ﺗﻌﻴﻴﻦ ﺳﻬﻢ ﻫﺮ QTL در ﺗﻨﻮع ﻓﻨﻮﺗﻴﭙﻲ ﺻﻔﺖ ﻣﺮﺑﻮﻃﻪ 96 ﻻﻳﻦ ﻛﻪ از ﻧﺴﻞ ﻫﺸﺘﻢ ﺗﻼﻗﻲ ارﻗﺎم ﻋﻨﺒﺮﺑﻮ × ﺳﭙﻴﺪرود ﺑﻪ دﺳﺖ آﻣﺪه ﺑﻮدﻧﺪ در آزﻣﺎﻳﺸﮕﺎهﻫﺎی ﮔﻴﺎهﺷﻨﺎﺳﻲ و ژﻧﺘﻴﻚ داﻧﺸﮕﺎه ﮔﻨﺒﺪ ﻛﺎووس در ﺳﺎل 1390 ﻣﻮرد ﻣﻄﺎﻟﻌﻪ ﻗﺮار ﮔﺮﻓﺘﻨﺪ. ﺗﻌﺪاد 384 ﻧﺸﺎﻧﮕﺮ ﭼﻨﺪ ﺷﻜﻞ )ﺷﺎﻣﻞ264 ﻧﺸﺎﻧﮕﺮ AFLP و 124 ﻧﺸﺎﻧﮕﺮ رﻳﺰﻣﺎﻫﻮاره( ﺑﺮای ﺗﻬﻴﻪ ﻧﻘﺸﻪ ژﻧﺘﻴﻜﻲ ﻛﺮوﻣﻮزومﻫﺎی ﺑﺮﻧﺞ ﻣﻮرد اﺳﻔﺎده ﻗﺮار ﮔﺮﻓﺘﻨﺪ. ﻧﻘﺸﻪ ﭘﻴﻮﺳﺘﮕﻲ 1950/4 ﺳﺎﺗﻲﻣﻮرﮔﺎن از ژﻧﻮم ﺑﺮﻧﺞ را ﭘﻮﺷﺶ دادﻧﺪ. ﻣﻜﺎن qPPN-9 )ﺗﻌﺪاد ﺧﻮﺷﻪﭼﻪ اوﻟﻴﻪ( ﺑﺎ ﺗﺒﻴﻴﻦ 24/3 درﺻﺪ از ﺗﻨﻮع ﻓﻨﻮﺗﻴﭙﻲ ﺑﺰرگ اﺛﺮ ﺑﻮد. ﻧﺘﺎﻳﺞ ﺣﺎﺻﻞ از اﻳﻦ ﭘﮋوﻫﺶ ﻧﺸﺎن داد ﻛﻪ ﻧﺸﺎﻧﮕﺮ E120-M140-9 روی ﻛﺮوﻣﻮزوم 9 اﺣﺘﻤﺎﻻً ﻣﻲﺗﻮاﻧﻨﺪ ﺑﻪ ﻋﻨﻮان ﻧﺸﺎﻧﮕﺮ ﭘﻴﻮﺳﺘﻪ ﺑﻪ ﺻﻔﺖ ﺗﻌﺪاد ﺧﻮﺷﻪﭼﻪ اوﻟﻴﻪ ﺟﻬﺖ اﻧﺘﺨﺎب ﺑﻪ ﻛﻤﻚ ﻧﺸﺎﻧﮕﺮ در ﺑﺮﻧﺎﻣﻪﻫﺎی ﺑﻪﻧﮋادی ﻣﻮرد اﺳﺘﻔﺎده ﻗﺮار ﮔﻴﺮد.
کلیدواژه ها
Title
Mapping of QTL related to panicle traits in F8 from rice (Oryza sativa L.) population under drought stress
Authors
Abstract
In order to locate the QTL associated with tolerance of drought and determine the contribution of each QTL on the phenotypic variation for 96 lines drived Anbarboo × Sepeedrud at 1390 were studied. 264 AFLP markers and 124 SSR markers were used to construct genetic map of the rice chromosomes. Linkage map covered 1231.5 cM of the genome. qPPN-9 (Spikelets per panicle) explained 24.3 % of phenotypic variability and considered as major QTLs. This study showed that the E120-M140-9 AFLP markers on chromosome 9 as linked markers to the QTL of Spikelets per panicle respectively can probably utilized to
Marker Assisted Selection (MAS) in breeding programs.
Marker Assisted Selection (MAS) in breeding programs.
Keywords
Rice (Oryza sativa L.), drought stress, QTL mapping