ﻣﻘﺎﻳﺴﻪ روشﻫﺎی ﭼﻨﺪﻣﺘﻐﻴﺮه AMMI و SREG ﺑﺎ اﺳﺘﻔﺎده از ﻣﺪلﻫﺎی ﻣﺨﺘﻠﻂ در ﺗﺠﺰﻳﻪ ﭘﺎﻳﺪار
پذیرفته شده برای پوستر
عنوان دوره: سیزدهمین کنگره زراعت و اصلاح نباتات ایران
نویسندگان
1داﻧﺶآﻣﻮﺧﺘﻪ و داﻧﺸﻴﺎر ﮔﺮوه اﺻﻼح ﻧﺒﺎﺗﺎت و ﺑﻴﻮﺗﻜﻨﻮﻟﻮژی، داﻧﺸﻜﺪه ﻛﺸﺎورزی، داﻧﺸﮕﺎه ﺗﺮﺑﻴﺖ ﻣﺪرس
2ﺳﺠﺎد ﻃﻼﻳﻲ1، ﺣﻤﻴﺪ دﻫﻘﺎﻧﻲ1*، ﺑﻬﺮوز واﻋﻈﻲ2 داﻧﺶآﻣﻮﺧﺘﻪ و داﻧﺸﻴﺎر ﮔﺮوه اﺻﻼح ﻧﺒﺎﺗﺎت و ﺑﻴﻮﺗﻜﻨﻮﻟﻮژی، داﻧﺸﻜﺪه ﻛﺸﺎورزی، داﻧﺸﮕﺎه ﺗﺮﺑﻴﺖ ﻣﺪرس
3ﻣﺮﺑﻲ ﺗﺤﻘﻴﻘﺎﺗﻲ، اﻳﺴﺘﮕﺎه ﺗﺤﻘﻴﻘﺎت ﻛﺸﺎورزی دﻳﻢ ﮔﭽﺴﺎران
چکیده
ﺑﻪ ﻣﻨﻈﻮر ﻣﻘﺎﻳﺴﻪ روشﻫﺎی ﭼﻨﺪ ﻣﺘﻐﻴﺮه AMMI و SREG ﺑﺎ اﺳﺘﻔﺎده از ﻣﺪل ﻫﺎی ﻣﺨﺘﻠﻂ، ﻣﻄﺎﻟﻌﻪای ﻃﻲ ﭼﻬﺎر ﺳﺎل زراﻋﻲ در اﻳﺴﺘﮕﺎهﻫﺎی ﺗﺤﻘﻴﻘﺎﺗﻲ دﻳﻢ ﮔﭽﺴﺎران، ﻛﻮﻫﺪﺷﺖ و اﻳﻼم اﺟﺮا ﺷﺪ. ﻣﺪل ﻫﺎی ﭼﻨﺪ ﻣﺘﻐﻴﺮه AMMI و SREG ﺑﺎ اﺳﺘﻔﺎده از 4 ﺳﺎﺧﺘﺎر ﻛﻮارﻳﺎﻧﺴﻲ ﺗﺠﺰﻳﻪ ﺑﻪ ﻋﺎﻣﻞﻫﺎ ﺑﺎ روشﻫﺎی ﺣﺪاﻛﺜﺮ درﺳﺖ ﻧﻤﺎﻳﻲ ﻣﺤﺪود ﺷﺪه ﺗﺤﺖ ﻣﺪل ﺑﺎ اﺛﺮات ﻣﺨﺘﻠﻂ ﺑﺮرﺳﻲ ﺷﺪ. در دو ﺳﺎﺧﺘﺎر وارﻳﺎﻧﺲ ﺑﻴﻦ ﻻﻳﻦﻫﺎ ﻧﺎﻫﻤﮕﻦ در ﻧﻈﺮ ﮔﺮﻓﺘﻪ اﺳﺖ و ﺑﺮای ﮔﺰﻳﻨﺶ روش ﺑﻬﺘﺮ از آﻣﺎره ﻧﺴﺒﺖ درﺳﺖ ﻧﻤﺎﻳﻲ ﻣﺤﺪود ﺷﺪه از ﻃﺮﻳﻖ آﻣﺎره AIC اﺳﺘﻔﺎده ﺷﺪ .ﻧﺘﺎﻳﺞ ﻧﺸﺎن داد ﻛﻪ ﻣﺪل SREG ﺑﻪ ﻏﻴﺮ از ﺳﺎل دوم در ﺑﻘﻴﻪ ﺳﺎل ﻫﺎ ﺑﻬﺘﺮ از ﻣﺪل AMMI ﺑﺮازش ﻳﺎﻓﺘﻪ اﺳﺖ. در ﺳﺎل اول رﮔﺮﺳﻴﻮن ﻣﻜﺎﻧﻲ ﺑﺎ ﻣﺪلﻫﺎی [FA0(1)+REPEATED)] ،[FA0(2 و ]) [FA0(2)+REPEATEDﺑﻬﺘﺮ از FA0(1 ﺷﺪﻧﺪ. در ﺳﺎل دوم ﻣﺪل[FA0(2 و [FA0(2)+REPEATED)]دارای ﻛﻤﺘﺮﻳﻦ ﻣﻘﺪار آﻣﺎره AIC ﺑﻮد. در ﺳﺎل ﺳﻮم و ﭼﻬﺎرم ﻣﺪل ﺑﺎ ﻧﺎﻫﻤﮕﻨﻲ وارﻳﺎﻧﺲ ﺑﻴﻦ ﻣﻜﺎنﻫﺎ ﺑﻬﺘﺮ ﺑﺮازش ﻳﺎﻓﺖ.
کلیدواژه ها
Title
Comparison of different AMMI and SREG multivariate methods using a mixed model in stability analysis
Authors
Abstract
To compare the AMMI and SREG multivariate methods using mixed models, a study was performed at Gachsaran, Kohdasht and Ilam filed research stations during four years. Multivariate models of AMMI and SREG using restricted maximum likelihood under mixed model was performed. The variance between the lines was heterogeneous in four covariance's structure and for the selecting of the best methods, the restricted maximum likelihood via AIC statistic was applied. Results indicated that the SREG model is fitted better than AMMI model in all year except. In first year, for
SREG model, [FA0 (2)] ،[FA0(1)+REPEATED)] and [FA0(2)+REPEATED)] model better than FA0(1) model. In second year, [FA0 (2)] and [FA0(2)+REPEATED)] model had the less AIC statistic than the other models. In the third and fourth years, the model with heterogeneity of variance between locations was fitted much better.
SREG model, [FA0 (2)] ،[FA0(1)+REPEATED)] and [FA0(2)+REPEATED)] model better than FA0(1) model. In second year, [FA0 (2)] and [FA0(2)+REPEATED)] model had the less AIC statistic than the other models. In the third and fourth years, the model with heterogeneity of variance between locations was fitted much better.
Keywords
Genotype × environment interaction, Grass pea, Mixed model, AMMI and SREG