Assessment of Genetic Variation in Common Bean (Phaseolus vulgaris L.) Genotypes under Drought Condition Using Cluster and Canonical Discriminant Analysis (CDA)

Message:
Abstract:
This study was conducted to assess the sources of genetic and phenotypic variability of Common bean genotypes. Fourteen morphological and agronomic traits were measured on 49 common bean genotypes. These traits included: days to 50% flowering, days to 50% Podding, pod length, pod wide, seeds per pod, seed length, seed wide, stem diameter, seed and pod weight, number of full pod, number of total pod, seeds per plant, 100-seeds weight and seed yield per plant. The multivariate data set was analyzed using Canonical Discriminant Analysis (CDA) in combination with a clustering procedure. In this analysis, the first two canonical varieties were significant and justified 88.5% and 94.7% of variances in normal condition and drought stress, respectively. According to cluster analysis, genotypes were divided in 4 categories. Canonical discriminant analysis is useful in identifying the genetic variation and describes the variation among common bean genotypes. Cluster Analysis was successful in differentiating the varieties into similar subgroups based on the measured traits.
Language:
Persian
Published:
Journal of Crop Breeding, Volume:4 Issue: 10, 2013
Pages:
1 to 17
magiran.com/p1111395  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!