ارزیابی چندین صفات مختلف زراعی در ژنوتیپ های گندم تحت شرایط تنش خشکی با استفاده از روش های آماری چند متغیره
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Abstract:
In order to evaluate and grouping wheat genotypes based on grain yield and important agronomic traits under drought stress, a field experiment was conducted with 43 wheat genotypes using a Randomized Complete Block design in three replication at Azad University, khorramabad, Iran in 2012-2013 cropping season. Evaluated traits were: day to maturity, day to pollination, grain filling rate, grain filling period, plant height, second internode length, peduncle length, peduncle extrusion, spike length, flag leaf length, spike weight, grain per spike, harvest index, thousand weight kernel, grain weight per spike, spike per square meter, biological yield, grain yield. Analysis of variance showed that there were significant difference among genotypes for most traits under drought stress. Factor analysis based on principle components and varimax rotation showed that 5 factors, yield, growth characteristics, spike index and factor affecting of grain characteristics explained 75.02% of data total variance under drought stress. Lastly cluster analysis based on UPGMA method was used for grouping genotyprs and genotypes were divided into 3 groups. The first group was the third place for grain yield. The second group was consist of 8 genotype and the maximum grain yield was compared to the other groups. 35, 18,19,24 genotypes showed the highest yield. The third group was in all related traits height the maximum amount.
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شناسایی صفات مؤثر بر عملکرد سیبزمینی با استفاده از روشهای آماری چند متغیره در شرایط تنش و عدم تنش خشکی
Factor and principal component analyses are widely used in different sciences especially in agricultural science. To determine the factors that create variation between potato cultivars, in normal (non-stress) and water deficit (stress) conditions, two experiments were conducted in the form of randomized complete block design with three replications in summer 2002. Stepwise regression analysis ...
full textشناسایی صفات مؤثر بر عملکرد سیبزمینی با استفاده از روشهای آماری چند متغیره در شرایط تنش و عدم تنش خشکی
Factor and principal component analyses are widely used in different sciences especially in agricultural science. To determine the factors that create variation between potato cultivars, in normal (non-stress) and water deficit (stress) conditions, two experiments were conducted in the form of randomized complete block design with three replications in summer 2002. Stepwise regression analysis ...
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Journal title
volume 9 issue 21
pages 147- 155
publication date 2017-06
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