Correlation and path analysis for yield and yield components in sunflower (Helianthus annus. L)

  • SM Fida Hassan
  • Muhammad Shahid Iqbal
  • Ghulam Rabbani
  • Naeem-ud-Din Naeem-ud-Din
  • Ghulam Shabbir
  • Muhammad Riaz
  • Ijaz Rasool Noorka

Abstract

Ten (10) sunflower genotypes were evaluated in a triplicated randomized complete blocked design in field for plant height, stem diameter at base, internodal length, head diameter, number of whorls head-1, achene weight head-1, 100-achene weight, achene oil and protein content. Association among various plant traits and direct and indirect effects of various traits on achene weight head-1 were estimated. Correlations of head diameter, 100-achene weight, stem diameter at base, internodal length and oil contents were positive and significant with achene weight head-1. Path analysis showed that direct effects of plant height, head diameter, 100-achene weight and oil contents were positive while direct effects of stem diameter at base, internodal length, number of fertile whorls head-1 and protein contents were negative on achene weight head-1. This shows that selection based on head diameter, 100-achene weight, plant height, internodal length and stem diameter at base will be more effective in improving yield.

Keywords: Sunflower, correlation coefficient, path coefficient, yield components

African Journal of Biotechnology Vol. 12(16), pp. 1968-1971

Author Biographies

SM Fida Hassan
Barani Agricultural Research Institute, Chakwal, Pakistan
Muhammad Shahid Iqbal
Barani Agricultural Research Institute, Chakwal, Pakistan; Ayub Agricultural Research Institute, Faisalabad, Pakistan
Ghulam Rabbani
Barani Agricultural Research Institute, Chakwal, Pakistan
Naeem-ud-Din Naeem-ud-Din
Barani Agricultural Research Institute, Chakwal, Pakistan
Ghulam Shabbir
Barani Agricultural Research Institute, Chakwal, Pakistan
Muhammad Riaz
Barani Agricultural Research Institute, Chakwal, Pakistan
Ijaz Rasool Noorka
University of Sargodha, Pakistan.
Published
2016-01-28
Section
Articles

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eISSN: 1684-5315