Evaluation of genotype × environment interaction for grain yield of promising genotypes of rice (Oryza sativa L.) derived from mutation induction using the GGE-biplot method

Document Type : Research Paper

Authors

1 Department of Plant Breeding, Faculty of Crop Sciences, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.

2 Rice Research Institute of Iran, Amol, Iran.

10.22034/jppb.2020.13269

Abstract

The existence of genotype × environment interaction complicates the evaluation of cultivar performance and reduces gain to selection. One of the multivariate methods for interpreting genotype by environment interaction is GGE-Biplot, in which the main effect of genotype and genotype by environment interaction are investigated simultaneously. In this study, 13 mutant genotypes of rice along with three check cultivars Tarrom-Mahalli, Tarrom-Jelodar and Neda were evaluated for grain yield stability in the two locations of Sari and Tonekabon during the years 2016 and 2017 using randomized complete block design with three replications within each environment. The results of GGE-biplot analysis showed that the two first components explained 92.52% of the total yield variation. According to the polygon view, all four environments of the experiment were located in the place that the Neda cultivar was at the top. Genotypes 33, 30, 26, 31 were highly stable genotypes and genotypes 18, 16 and 25 were highly unstable. In this study, we found only one mega-environment. Also following Neda and Jelodar cultivars, genotype 31 was closest to the ideal genotype. Ton 95 was the most desirable environment.

Keywords


Article Title [فارسی]

ارزیابی اثرات متقابل ژنوتیپ و محیط برای عملکرد دانه تعدادی از ژنوتیپ های امیدبخش برنج (Oryza sativa L.) حاصل از القای جهش با استفاده از روش GGE-biplot

Authors [فارسی]

  • غلامرضا چلویی 1
  • غلامعلی رنجبر 1
  • نادعلی بابائیان جلودار 1
  • نادعلی باقری 1
  • محمدزمان نوری 2
1 گروه اصلاح نباتات، دانشکده علوم زراعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری.
2 موسسه تحقیقات برنج ایران، آمل
Abstract [فارسی]

وجود اثرات متقابل ژنوتیپ و محیط باعث پیچیده کردن ارزیابی عملکرد ارقام و کاهش سودمندی انتخاب می شود. یکی از روش ­های چند متغیره برای تفسیر اثرات متقابل ژنوتیپ و محیط  GGE-
 biplot نام دارد که اثرات اصلی ژنوتیپ­ ها و اثرات متقابل ژنوتیپ و محیط را به طور هم ­زمان مورد بررسی قرار می­ دهد. در مطالعه حاضر 13 ژنوتیپ حاصل از القای جهش در برنج به همراه سه رقم شاهد طارم-محلی، طارم-جلودار و ندا در قالب طرح بلوک­ های کامل تصادفی با سه تکرار در دو منطقه ساری و تنکابن طی دو سال زراعی 1395 و 1396 از نظر پایداری عملکرد دانه مورد ارزیابی قرار گرفتند. نتایج حاصل از تجزیه GGE-biplot  نشان داد که دو جزء اول در مجموع توانستند 52/92 درصد از تغییرات عملکرد دانه را توجیه نمایند. مطابق با نمودار چندوجهی حاصل از این روش هر چهار محیط به کار رفته در این آزمایش هم مکان با رقم پرمحصول ندا (شاهد) در قسمت بالا قرار گرفتند. ژنوتیپ­ های 33، 30، 26 و 31 پایداری بالائی داشتند و زنوتیپ­ های 18، 16 و 25 ناپایدار بودند. در این مطالعه تنها یک محیط بزرگ شناسایی شد. همچنین به دنبال ارقام ندا و جلودار، ژنوتیپ­ 31 به ژنوتیپ ایده ­آل نزدیک­تر از بقیه بود. محیط تنکابن 96 به عنوان مطلوبترین محیط شناخته شد.
 

Keywords [فارسی]

  • اثر متقابل ژنوتیپ محیط
  • برنج موتانت
  • پایداری
  • GGE-biplot
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