تجزیه چندمتغیره صفات کمی و کیفی ارقام امیدبخش پنبه تحت شرایط آب وهوایی سرد

نوع مقاله : مقاله پژوهشی

نویسندگان

1 عضو هیأت علمی مرکز تحقیقات کشاورزی و منابع طبیعی آذربایجان غربی/ سازمان تحقیقات، آموزش و ترویج کشاورزی

2 فارغ اتحصیل دوره ارشد

3 کارشناس ارشد مرکز تحقیقات کشاورزی و منابع طبیعی آذربایجان غربی/ سازمان تحقیقات، آموزش و ترویج کشاورزی

چکیده

پنبه مهمترین گیاه لیفی جهان بوده و نقش بسیار مهمی در اشتغال‌زایی و توسعه صنایع نساجی ایفا می‌کند. انتخاب رقم مناسب برای منطقه آذربایجان غربی که خاستگاه پنبه ایران بوده است، اهمیت ویژه‌ای خواهد داشت. این مطالعه با هدف پیشنهاد رقم برای این استان از ارقام پنبه‌ای که از طریق روش‌های مختلف اصلاحی به‌دست آمده‌اند و از نظر یک یا چند صفت، برتری خود را نسبت به ارقام تجاری نشان داده‌اند، انجام گردید. در این مطالعه تعداد 8 رقم جدید پنبه به همراه دو رقم شاهد(ورامین و ساحل) در قالب طرح بلوک‌های کامل تصادفی با 4 تکرار طی سال‌های زراعی 1393، 1394 و 1395 مورد مقایسه قرار گرفتند. نتایج تجزیه واریانس مرکب نشان داد که اثر متقابل تیمار در سال برای صفات عملکرد نهایی، عملکرد تک بوته و وزن تک قوزه در 05/0 همچنین تعداد قوزه در بوته در سطح احتمال 01/0 معنی‌دار شد. در تجزیه رگرسیون گام به گام دو متغیر تعداد قوزه در بوته، وزن تک قوزه وارد مدل شده و تجزیه علیت نشان داد که اثرمستقیم تعداد قوزه در بوته برعملکرد (0.9934) و اثرغیرمستقیم وزن تک قوزه و تعداد قوزه در بوته بر عملکرد (0.2178-) بیشتر از بقیه می‌باشد. همچنین تجزیه به مؤلفه‌های اصلی بهترین متغیرها با ارزش بالا برای دو مؤلفه‌ی اصلی را تعیین کرد که در هر دو مؤلفه تعدا قوزه در بوته (0.314) و (0.350-) حضور دارد.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Multivariate analyses of quantitative and qualitative characteristics of hopeful cotton varieties under cold weather conditions

نویسندگان [English]

  • Farshid Talat 1
  • Mehdi Badri Anarjan 2
  • Kazem Setoodehmaram 3
1
2
3
چکیده [English]

This research was conducted in order to evaluate of quantitative and qualitative characteristics of some hopeful cotton cultivars in Urmia region. In this study 8 cultivars were evaluated along with Varamin and Sahel as check cultivars in form of complete randomized block design with 4 replications in 2014, 2015 and 2016 (three cropping seasons). The Combination analysis results showed that the Interaction between treatments effect in the year to end-yield, yield per plant and boll weight (α =0.05), as well as the number of bolls per plant probability level (α = 0.01) were significant. In Stepwise regression analysis two variables, the number of bolls per plant, boll weight entered in the model. Path analysis showed that the number of bolls per plant had direct impact on yield (0.9934) and indirect effect of boll weight and number of bolls per plant on yield was higher than the rest of properties and as well as principal components analysis for the two main components of the high-value variables to determine, the number of bolls per plant is present in both components.This feature can be used to improve the commercial cultivars background and hybrid seed production which could be considered in this area.

کلیدواژه‌ها [English]

  • Path analysis
  • regression analysis
  • yield
  • Cotton
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