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Abstract Detail


Economic Botany: Applied Plant Biology

Akhtar, Naeem [1], Mahmood, Talat [2], Ullah, Sami [3].

Screening of sunflower (Helianthus annuus L.) populations for seed yield and its components trough step-wise regression analysis.

Sunflower and important non-conventional oil seed crop and its yield may be improved through selection for feeding ever-increasing demand. Phenotypic selection was practiced separately for improvement of six sunflower populations for seed yield and its components. Step-wise regression analysis revealed two variable model including head diameter and achene weight for improvement of sunflower population 2 and 3 accounting 48.7 and 73.9 % variability in seed yield per plant, respectively. Sunflower population 5 accounted the minimum variability (42.6 %) for improvement by including achene weight, leaves per plant and head to soil surface distance. However, population 1 and 4 accounted the maximum variability of 78.0 and 73.3 % respectively for seed yield per plant. Four variable (head diameter, achene weight, bird damage and stem diameter) and five variable models (achene weight, head diameter, plant height, leaves per plant and inter nodal length) were best fitted for sunflower population 4 and 1, respectively.


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1 - University of Sargodha, Sargodha (Pakistan)., University College of Agriculture,, University College of Agriculture, University of Sargodha,, Sargodha, Pakistan
2 - University of Arid Agriculture, Rawalpindi, Department of Plant Breeding & Genetics, Department of Plant Breeding & Genetics, University of Arid Agriculture,, Rawalpindi, Pakistan
3 - University of Sargodha, Sargodha (Pakistan)., University College of Agriculture, University College of Agriculture, University of Sargodha, Sargodha (Pakistan)., Sargodha, Pakistan

Keywords:
none specified

Presentation Type: Oral Paper:Papers for Topics
Session: 59
Location: 157/Law
Date: Wednesday, July 30th, 2008
Time: 11:00 AM
Number: 59004
Abstract ID:503


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