گروه بندی هیبریدهای جدید ذرت (Zea mays L.) بر پایه صفات مورفولوژیک، عملکرد و اجزای آن

نوع مقاله : علمی - پژوهشی

نویسندگان

1 گروه زراعت، دانشکده کشاورزی، دانشگاه زابل، زابل، ایران

2 مرکز تحقیقات کشاورزی و منابع طبیعی خراسان رضوی، ایران

3 دانشگاه زابل، زابل، ایران

4 دانشگاه لرستان، ایران

چکیده

وجود تنوع اساس انتخاب در اصلاح نباتات است. تنوع صفات مورفولوژیکی بوسیله روش های مختلف چند متغیره قابل بررسی می باشد. در این تحقیق بمنظور مطالعه میزان تنوع موجود در هیبریدهای جدید ذرت (Zea mays L.) بر پایه صفات مورفولوژیک، عملکرد علوفه و دانه و اجزای آنها، 40 ترکیب جدید به همراه پنج رقم تجاری بعنوان شاهد در قالب طرح بلوکهای کامل تصادفی با سه تکرار در ایستگاه طرق مرکز تحقیقات کشاورزی و منابع طبیعی خراسان رضوی در سال زراعی 87-1386 کشت و مورد ارزیابی قرار گرفتند. نتایج تجزیه خوشه ای نشان داد برای صفات مورفولوژیکی، عملکرد دانه و اجزای آن سه گروه به همراه دو گروه تک عضوی و برای عملکرد علوفه و اجزای آن پنج گروه حاصل شد. ضریب همبستگی بین ماتریس های شباهت تجزیه خوشه ای علوفه و دانه، 15/0 بود. نتایج حاصله نشان داد که گزینش هیبریدهای ذرت نمی تواند همزمان برای افزایش کمی عملکرد علوفه و دانه صورت پذیرد.

کلیدواژه‌ها


عنوان مقاله [English]

New corn (Zea mays L.) hybrids grouping based on morphological traits, yield and its components

نویسندگان [English]

  • Saeed Khavari Khorasani 2
  • BaratAli Syah Sar 3
  • Ahmad Esmaili 4
  • Nafiseh Mahdi Nejad 3
1 Agronomyy Department, Faculty of Agriculture, Zabol University, Zabol, Iran
2 Khorasan Razavi Agricultural and Natural Resources Research and Training Center, Iran
3 Zabol University, Zabol, Iran
4 University of Lorestan, Iran
چکیده [English]

Exiting diversity is the basis of selection in plant breeding programs. Diversity in morphological traits is studied by different methods of multivariate analysis. This study was conducted to estimate the genetical diversity of new corn hybrids based on the morphological traits. In this study, 40 new grain and forage corn hybrids with five commercial varieties as control treatments were planted in RCBD with three replications at Torogh Station of Khorasan Razavi Agriculture Research and Natural Resources Center, Iran during 2008. The results showed for the kernel yield and its components obtained three groups and two clusters with only one member. Furthermore, for forage yield and its components concluded five groups. Correlation coefficient between similarity matrix of forage and kernel yield cluster was very weak (0.15). Therefore,
selection for grain yield of corn hybrids cannot be used simultaneously for forage yield.

کلیدواژه‌ها [English]

  • Cluster analysis
  • Correlation coefficient
  • Forage yield
  • grain yield
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