گروه‌بندی لاین‌های برنج (Oryza sativa L.) با استفاده از روش‌های آماری چند متغیره در شرایط تنش خشکی

نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشگاه گیلان، دانشیار دانشکده کشاورزی

2 دانشگاه گیلان

چکیده

به منظور ارزیابی و گروه‌بندی 150 اینبرد لاین برنج بر اساس صفات مورفولوژیک و فیزیولوژیک، آزمایشی در قالب طرح آگمنت بر پایه طرح بلوک کامل تصادفی با چهار تکرار در دانشکده علوم کشاورزی دانشگاه گیلان در سال زراعی 1393 اجرا شد. بررسی ضرایب همبستگی بین صفات مورد مطالعه نشان داد که همبستگی معنی‌داری بین عملکرد دانه با اکثر صفات وجود داشت. تجزیه به عامل‌ها نشان داد که چهار عامل اصلی و مستقل 23/94 درصد از تغییرات کل داده‌ها را توجیه نمودند. عامل اول با دارا بودن 99/51 درصد از واریانس کل به عنوان عامل اجزای عملکرد و میزان باروری نامگذاری شدند. عامل دوم با اختصاص 41/25 درصد از واریانس کل به عنوان عامل میزان باروری، عملکرد و اجزای عملکرد، عامل سوم با اختصاص 50/11 درصد از واریانس کل به عنوان عامل صفات فیزیولوژیک، عامل چهارم با اختصاص 33/5 درصد از واریانس کل به عنوان عامل مرفولوژی گیاه نامگذاری شدند. تجزیه خوشه‌ای با استفاده از روش وارد با احتمال صحت 7/92 درصد لاین‌های مورد بررسی را در چهار خوشه مجزا گروه-بندی کرد. بنابراین، برای گزینش لاین‌های با عملکرد دانه بالا و متحمل به تنش رطوبتی در برنج می‌توان گزینش‌های هم‌زمانی را برای صفاتی نظیر تعداد کل خوشه‌چه در خوشه، تعداد دانه پر در خوشه، نرخ باروری، محتوای پرولین،کلروفیل a، b و کل کلروفیل و محتوای آب نسبی برگ (RWC) انجام داد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Grouping of rice (Oryza sativa L.) lines based on multivariate analysis under drought stress condition

نویسندگان [English]

  • Habibollah Samizadeh 1
  • maryam danesh gilevaei 2
  • babak rabiei 2
2 guilan university
چکیده [English]

For evaluation and grouping of 150 inbred lines of rice based on some morphological and physiological traits, an experiment was conducted using Augment design based on randomized complete block design (RCBD) with four replications in Agricultural College of Guilan University, in 2013. Correlation coefficients between traits showed a significant correlation between grain yield with almost all of traits. Factor analysis showed that four independent and main factors explained 94.23 percent of total variance in all lines. The first factor with 51.99 percent of variance was named as the yield components and fertility rate. The second factor with 25.41 percent of variance was nominated as fertility rate, the yield and the yield components. The third factor with 11.50 percent of variance was nominated as physiologic traits. The fourth factor with 5.33 percent of variance was nominated as plant morphologic. Cluster analysis by ward method with a 92.7 percent of original grouped cases correctly classified four distinct groups for studied lines. Finally, to select high-yielding lines and tolerate to drought stress in rice simultaneously selection can be carried out for traits such as number of total spikelet per panicle, number of filled grain per panicle; spikelet fertility, proline content, chlorophyll a, chlorophyll b, total chlorophyll and relative water content.

کلیدواژه‌ها [English]

  • Correlation
  • Cluster Analysis
  • factor analysis
  • Ward’s Minimum Variance
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