پایداری عملکرد هیبرید های ذرت دانه ای با استفاده از روش رگرسیونی ابرهارت و راسل

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عنوان دوره: سیزدهمین کنگره زراعت و اصلاح نباتات ایران
نویسندگان
1ﻛﺎرﺷﻨﺎس ارﺷﺪ داﻧﺸﮕﺎه ﭘﻴﺎم ﻧﻮر مشهد
2ﻋﻀﻮ ﻫﻴﺎت ﻋﻠﻤﻲ ﻣﻮﺳﺴﻪ اﺻﻼح و ﺗﻬﻴﻪ ﻧﻬﺎل و ﺑﺬر ﻛﺮج
3ﻋﻀﻮ ﻫﻴﺎت ﻋﻠﻤﻲ ﻣﺮﻛﺰ ﺗﺤﻘﻴﻘﺎت ﻛﺸﺎورزی و ﻣﻨﺎﺑﻊ ﻃﺒﻴﻌﻲ ﻧﻴﺸﺎﺑﻮر
4ﻋﻀﻮ ﻫﻴﺎت ﻋﻠﻤﻲ ﻣﺮﻛﺰ ﺗﺤﻘﻴﻘﺎت ﻛﺸﺎورزی و ﻣﻨﺎﺑﻊ ﻃﺒﻴﻌﻲ ﻣﺸﻬﺪ
چکیده
در اﻳﻦ ﺑﺮرﺳﻲ 15 ﻫﻴﺒﺮﻳﺪ ذرت داﻧﻪ ای در ﻗﺎﻟﺐ ﻃﺮح ﺑﻠﻮک ﻫﺎی ﻛﺎﻣﻞ ﺗﺼﺎدﻓﻲ)RCBD( ﺑﺎ 4 ﺗﻜﺮ ار در 6 ﻣﺤﻴﻂ ﺷﺎﻣﻞ 3 اﻳﺴﺘﮕﺎه ﺗﺤﻘﻴﻘﺎﺗﻲ)ﻛﺮج ﻣﺸﻬﺪ ﺟﻴﺮﻓﺖ( در ﻃﻲ دو ﺳﺎل 1390-1391ﻣﻮرد ﺑﺮرﺳﻲ ﻗﺮار ﮔﺮﻓﺘﻨﺪ. ﺑﺮای ﺑﺮرﺳﻲ اﺛﺮ ﻣﺘﻘﺎﺑﻞ و ﻣﺸﺨﺺ ﻛﺮدن ﻫﻴﺒﺮﻳﺪ ﻫﺎی ﭘﺎﻳﺪار، از روش رﮔﺮﺳﻴﻮﻧﻲ اﺑﺮﻫﺎرت و راﺳﻞ اﺳﺘﻔﺎده ﮔﺮدﻳﺪ. ﻧﺘﺎﻳﺞ ﻧﺸﺎن داد ﺑﺘﺮﺗﻴﺐ ژﻧﻮﺗﻴﭗ ﻫﺎی ﺷﻤﺎره 2 ˜ ˜14 10 و3 ﺑﺎ ﻣﻴﺎﻧﮕﻴﻦ ﻋﻤﻠﻜﺮد ﺑﺎﻻﺗﺮ از ﻣﻴﺎﻧﮕﻴﻦ ﻛﻞ ، ﺿﺮﻳﺐ رﮔﺮﺳﻴﻮن و اﻧﺤﺮاف از ﺧﻂ رﮔﺮﺳﻴﻮن ﻏﻴﺮ ﻣﻌﻨﻲ دار˜ دارای ﺳﺎزﮔﺎری ﻋﻤﻮﻣﻲ ﻣﻄﻠﻮﺑﻲ ﺑﻮدﻧﺪ. ژﻧﻮﺗﻴﭗ ﻫﺎی 7 8˜ و 1 ﺑﺎ داﺷﺘﻦ ﻣﻴﺎﻧﮕﻴﻦ ﻋﻤﻠﻜﺮد ﺗﻘﺮﻳﺒﺎ( ﻧﺰدﻳﻚ ﺑﻪ ﻣﺘﻮﺳﻂ و ﺿﺮﻳﺐ رﮔﺮﺳﻴﻮن ﻏﻴﺮ ﻣﻌﻨﻲ دار˜ ﺑﻌﻨﻮان ژﻧﻮﺗﻴﭗ ﻫﺎی ﭘﺎﻳﺪار ﺑﺎ ﺳﺎزﮔﺎری ﻋﻤﻮﻣﻲ ﻣﺘﻮﺳﻂ ﺷﻨﺎﺧﺘﻪ ﺷﺪﻧﺪ.
کلیدواژه ها
 
Title
Stability performance of maize hybrids by using regression method of Eberhart and Russel
Authors
Abstract
Generally, there are four techniques for evaluating the stability of a series of Cultivars that include: analysis of variance, regression analysis, Non-parametric methods and multivariate analyze. In this research 15 maize hybrids were studied in form of randomized complete block design with 4 replicates across 6 environments including 3 agriculture research center (Karaj , Mashhad and Jiroft) in two years(1390-1391). For studying interaction effect and determining stable hybrids, Eberhart and Russell regression method was used. Results showed that genotypes NO.2, 14, 10 and 3 respectively with average yield higher than Total average, the regression coefficient And deviation from regression line non-significant, Have general adaptation desired.Genotypes NO.7, 8, and 1 with a mean yield (almost) Near the average and non-meaningful regression coefficient, were identified as Genotypes stable with general average adaptation.
Keywords
Stability Analysis, Maize, Regression metho