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غربالگری لاینهای ذرت (.zea mays l) با استفاده از شاخصهای گزینش برای تحمل به تنش شوری
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نویسنده
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ارژنگ سرور ,درویش زاده رضا ,علی پور هادی
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منبع
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تنش هاي محيطي در علوم زراعي - 1402 - دوره : 16 - شماره : 4 - صفحه:949 -967
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چکیده
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عوامل تنشزای غیرزیستی از جمله تنش شوری، موجب کاهش عمده عملکرد ذرت بهخصوص در مناطق خشک و نیمهخشک میشود. کاربرد شاخصهای گزینش برای تحمل به تنش شوری، راهکار موثری جهت غربالگری ژنوتیپهای متحمل ذرت در راستای برنامههای بهنژادی این محصول میباشد. بدین منظور، ارزیابی 86 لاین ذرت تحت شرایط نرمال و تنش شوری (dsm-1 8) در قالب طرح بلوکهای کامل تصادفی با سه تکرار در شرایط گلدانی طی سال 1396 در مزرعه تحقیقاتی دانشگاه ارومیه انجام گرفت. بر اساس عملکرد دانه لاینهای ذرت در شرایط نرمال و تنش شوری، ده شاخص گزینش برای تحمل به تنش شوری شامل شاخص حساسیت به تنش (ssi)، شاخص تحمل (tol)، شاخص تحمل به تنش (sti)، میانگین بهرهوری (mp)، میانگین هندسی بهرهوری (gmp)، میانگین هارمونیک (hm)، شاخص تحمل غیرزیستی (ati)، شاخص مقاومت به خشکی (di)، شاخص تغییر یافته تحمل به تنش در شرایط نرمال (mpsti) و تنش (mssti) محاسبه شدند. تنوع ژنتیکی بالایی در بین لاینهای مورد مطالعه از لحاظ عملکرد دانه و شاخصهای گزینش بهدست آمد. شاخصهای sti، mp، gmp و hm بیشترین همبستگی را با عملکرد دانه در هر دو شرایط نرمال و تنش شوری داشتند و بر اساس نمودار سه بعدی، لاینهای متحمل به شوری با عملکرد بالا در هر دو شرایط نرمال و تنش شوری را از سایر لاینها تفکیک نمودند. نتایج حاصل از روشهای آماری چندمتغیره شامل تجزیه خوشهای و تجزیه به مولفههای اصلی، نه تنها قادر به تمایز لاینهای با عملکرد بالا در هر دو شرایط نرمال و تنش شوری بودند، بلکه قادر بودند لاینهای پایدار در شرایط تنش را نیز از لاینهای ناپایدار تفکیک نمایند. بدینترتیب، لاینهای ma010، ma026، ma009، ma027، ma023، ma007 و ma005 بهعنوان لاینهای ذرت متحمل به شوری با عملکرد پایدار جهت استفاده در برنامههای بهنژادی معرفی میشوند.
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کلیدواژه
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بایپلات، تجزیه و تحلیل چند متغیره، شاخصهای تحمل به تنش، عملکرد دانه
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آدرس
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دانشگاه ارومیه, دانشکده کشاورزی, گروه تولید و ژنتیک گیاهی, ایران, دانشگاه ارومیه, دانشکده کشاورزی و منابع طبیعی، پژوهشکده زیست فناوری, گروه تولید و ژنتیک گیاهی, ایران, دانشگاه ارومیه, دانشکده کشاورزی, گروه تولید و ژنتیک گیاهی, ایران
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پست الکترونیکی
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alipourhadi64@gmail.com
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screening of maize (zea mays l.) lines using selection indices for salinity stress tolerance
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Authors
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arzhangh s. ,darvishzadeh r. ,alipour h.
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Abstract
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introductionsalinity stress is one of the main abiotic stress factors and environmental problems affecting crop yields worldwide, especially in arid and semi-arid regions. land salinization is increasing, with 10 million ha of agricultural land destroyed annually. an increase in the concentration of salts in soil solution or irrigation water adversely affects plant growth and productivity, which can substantially reduce yield production. maize (zea mays l.) is the third most important cereal grain after rice and wheat, due to its high yield and nutritive value and also known as the queen of cereal crops and is moderately sensitive to salinity stress. accurate screening of maize tolerant genotypes using selection indices for salinity stress tolerance is an efficient approach to improve salinity tolerant crop plant genotypes, as well as reduce the effect of salinity on this crop.materials and methodsthis study was conducted at the urmia university research farm in 2017 to evaluate the influence of salinity stress (8 dsm-1) on the grain yield of 86 maize lines, as well as identify salt-tolerant maize lines based on selection indices for salinity stress tolerance. the pot experiments in normal and salinity stress conditions were set up in a randomized complete block design (rcbd) with three replicates. ten selection indices for salinity stress tolerance including stress susceptibility index (ssi), tolerance index (tol), stress tolerance index (sti), mean productivity (mp), geometric mean productivity (gmp), harmonic mean (hm), abiotic tolerance index (ati), drought resistance index (di), modified stress tolerance index in normal condition (mpsti), and modified stress tolerance index in stress condition (mssti) were calculated based on grain yield of lines under normal and salinity stress conditions.results and discussiona wide range of genetic variability was obtained among the studied maize lines in terms of grain yield under normal and salinity stress conditions as well as in terms of selection indices for salinity stress tolerance, which provided suitable conditions for evaluating tolerance indices and selection of tolerant lines. sti, mp, gmp, and hm had the highest correlation with grain yield in both normal and salinity stress conditions and were suitable to screen salt-tolerant and high-yielding maize lines. the three-dimensional (3d) plot obtained from these indices showed that the lines ma025, ma010, ma026, ma011, ma009 ma015, ma116, ma012, ma028, and ma062, which were in group a, had high yields in both normal and stress conditions. the results obtained from the use of principal component analysis showed that the first two principal components account for 93% of the total variance. the first component, called yield potential, had a very significant correlation with sti, mp, gmp, hm, di, mpsti, and mssti and was able to separate high-yielding maize lines in both normal and stress conditions. the second component, called sensitive or tolerant to salinity stress, had a very high correlation with ssi, tol, and ati and was able to distinguish stable maize lines. according to the hierarchical cluster analysis, a total of 86 maize lines were grouped in three tolerant, semi-tolerant, and sensitive clusters somehow this clustering was completely consistent with the separation of maize lines by the first principal component. in addition, each of these clusters had two subclusters that were separated according to the second principal component, so that in each cluster, the lines that had high yield stability were placed in the first subcluster, and the lines that had lower yield stability were placed in the second subcluster. thus, ma010, ma026, ma009, ma027, ma023, ma007, and ma005 were introduced as salt-tolerant maize lines with stable yields to use in breeding programs.conclusionbased on the available findings, the present study, as the first study on a large number of maize lines (86 lines) in the country, evaluated salinity stress tolerance using selection indices. the results of this study revealed the importance of using selection indices for stress tolerance as a reliable and useful tool to improve salinity stress tolerance in maize lines. accordingly, sti, mp, gmp, and hm were identified as the most appropriate indices for the selection of tolerant and stable maize lines using multivariate statistical methods. it is recommended that the selected maize lines be considered as parent lines in future breeding programs in order to improve salinity stress tolerance and stable grain yield.
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Keywords
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biplot ,grain yield ,multivariate analysis ,stress tolerance indices
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