The Analysis of Correlation Coefficients Between Grain Yield and Its Components in Maize Varieties Under Drought Stress

نمایش چکیده اصلی

The Analysis of Correlation Coefficients Between Grain Yield and Its Components in Maize Varieties Under Drought Stress

ramin belali1 Mojghan Mahbubi2 ahmad Razban3 ehsan rahimi4

1) MA Degree in Plant Breeding, Faculty of Agriculture, Islamic Azad University of TabrizTabriz, iran
2) PhD Plant Breeding, Islamic Azad University of Sanandaj, iran
3) Researcher, Inststute of Agracultural Research Khosroshah,Tabriz, Iran
4) A graduate student in Plant Breeding, College of Agriculture, Maragheh , Iran

Publication : 3rd International Conference On Research Science And Technology(3rstconf.com)
Abstract :
In order to compare the agronomic and morphological traits of maize cultivars and detect and identify traits affecting grain yield in normal and drought resistant varieties 6 subplots numbers 704, 700,640,540,500,260 Corn in a split block design with four replications in a randomized complete block design with three levels including full irrigation,stress and tension in the stage of ear emergence stage,research in the field of Agriculture crop year 1392 was a city of Marand.Analysis of variance showed that Farm measured under conditions of drought stress levels for plant height ,total dry weight of the(05/0 ≥p)And the number of kernels per row,total cob weight ,grain yield, harvest index,stem diameter ,ear weight with protective leaves,leaf weight without ear protection, ear diameter,ear length,plant weight,seed weight,seed per earLevel(01 / 0≥p) there was no statistically significant difference. On the basis of selection indices for drought tolerance to average stress levels of 260 and 540 varieties of TOL and SSI indices and numbers 640 , 704 and 504 for the index STI, MP and GMP as Most tolerant introduced varieties to drought stress.Correlation between indices also stated that the indices GMP, MP and STI highly correlated with aggregate performance and a significant positive correlation with each other show.
Keywords : corn analysis of variance correlation drought indices