نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، دانشکده کشاورزی دانشگاه شاهد، تهران، ایران

2 دانشجوی دکتری، دانشکدگان ابوریحان، دانشگاه تهران، پاکدشت، ایران

10.22059/ijhs.2021.321096.1910

چکیده

این تحقیق به منظور ارزیابی تنوع ریخت­شناسی در 16 اکوتیپ اسفرزه در قالب طرح بلوک‌های کامل تصادفی با 3 تکرار و با استفاده از 22 صفت ریخت شناسی اجرا شد. در تجزیه خوشه‌ای که با استفاده از داده­ها استاندارد شده انجام گرفت، فواصل بین اکوتیپ­ها با مربع فاصله اقلیدسی برآورد شد و دندروگرام به روش Ward ترسیم گردید. تجزیه عاملی به روش وریماکس انجام گرفت. میانگین مربعات اکوتیپ­‌ها برای تمامی صفات، بجز مقدار و درصد موسیلاژ، معنی‌دار بود. نتایج تجزیه خوشه‌ای، اکوتیپ­‌ها را در سه خوشه گروه­بندی کرد. صحت نتایج تجزیه خوشه‌ای با استفاده از تجزیه تابع تشخیص تایید شد. در تجزیه عاملی، پنج عامل استخراج شد که در مجموع 77/86 درصد از واریانس بین صفات را توجیه نمودند. مهمترین صفات تاثیر گذار در توجیه واریانس صفات ارتفاع بوته، طول دم‌گل‌آذین، طول سنبله، شاخص برداشت و وزن هزاردانه بودند که در عامل اول قرار گرفتند. تنوع ریخت­شناسی در بین اکوتیپ­‌های مورد استفاده برای بیشتر صفات معنی دار بود و اکوتیپ­‌های PO12، PO15 و PO6 با توجه به متوسط عملکرد دانه و مقدار موسیلاژ نسبت به بقیه اکوتیپ­‌ها برتر بودند.

کلیدواژه‌ها

عنوان مقاله [English]

Evaluation of morphological diversity of some Plantago ovata ecotypes by factor and ‎cluster analysis

نویسندگان [English]

  • Mohammad Hossein Fotokian 1
  • Mahdieh Arshadi Bidgoli 2

1 Associate Professor, Shahed University, Faculty of Agriculture, Tehran, Iran‎

2 Ph.D. Candidate, College of Abouraihan, University of Tehran, Tehran, Iran ‎

چکیده [English]

This study was performed to evaluate the morphological diversity in 16 Plantago ovata ecotypes in a randomized complete block design with three replications using 22 morphological traits. In cluster analysis using standardized data, the distances between the ecotypes were estimated with the square Euclidean distance method and the dendrogram was plotted by Ward’s method. Factor analysis was performed by Verimax method. The mean squares of ecotypes were significant for all traits, except the amount and percentage of mucilage. The results of cluster analysis grouped the ecotypes into three clusters. The accuracy of the results of clustering was confirmed by discriminant function analysis. In factor analysis, five factors were extracted that explained 86.77% of the variance among traits. The most important effective traits in determining the variance were plant height, inflorescence tail length, spike length, harvest index and 1000-seed weight, which were in the first factor. Morphological diversity among the ecotypes was significant for most traits and PO12, PO15, and PO6 ecotypes were superior to the other ecotypes in terms of mean grain yield and mucilage content.

کلیدواژه‌ها [English]

  • discriminant function analysis
  • eigenvalues
  • square Euclidean distance
  • Mucilage
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