The relation research of cold region wheat lines for yield with pattern of path coefficient analysis

Subject Areas : Agroecology Journal

Fahimeh Halali Soltanabad ¹ , hamdollah Majidi Hervan ² , darioush tagave ³ , alireza Nourmohammadi ⁴ , jalil ajali ⁵

1 - Graduated M. Sc. Student of Islamic Azad University, Karaj Branch.
2 - Professor in Agronomy, Islamic Azad University, Tabriz Branch.
3 - Scientific Board of Medicinal Plants Department, Agriculture Training Center of Urmia, Iran.
4 - Scientific Board of Medicinal Plants Department, Agriculture Training Center of Urmia, Iran.
5 - Scientific Board of Islamic Azad University of miyaneh Branch.

Received: 2008-03-01 Accepted : 2009-04-23 Published : 2010-01-21

Keywords: Grain yield, Yield components, Wheat landraces, Path coefficient analysis,

Abstract :

   In order to compare Iranian cold region wheat lines and landraces for yield and yield components, an experiment was carried out in 2005 at the Miyandoab agricultural research station. In this experiment 45 landraces of winter wheat collected from different cold regions of Iran were planted at a randomized complete block design arrangement with three replications. Traits under study were, plant height, biological yield, grain yield, harvest index, number of spikelets per spike, and numbers of kernel per spike. Results showed significant differences of lines in studied traits. Lines no. 29, 32, 36, 37 and 38 had higher harvest indices. It was also revealed that lines no.15, 18 and 13 produced the highest grain yield and yield components and therefore can be used in plant improvement programs for higher harvest index, dry weight, and grain yield. Path coefficient analysis of harvest index showed that the most effective traits for increasing harvest index were biomass weight and grain yield and these traits determined 90.2% of harvest index variations. Path coefficient analysis of grain yield also showed that the most effective traits for increasing grain yield were number of spikelets per spike and plant height and these traits determined 35.7% of grain yield variations.

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