Evaluate the yield and its components in the second cultivation of different varieties of soybean in Moghan
Journal Title: International Journal of Farming and Allied Sciences - Year 2013, Vol 2, Issue 17
Abstract
Soybean is very important in providing the oil for human. Given that, every year a large area of land in Moghan desert is devoted to the cultivation of soybeans, thus, necessary investigations on the introduction and recommendations of compatible cultivars will be important in terms different reaction of soybean cultivars to the photoperiod and specific conditions of the region. This experiment was conducted in order to evaluate the yield and its components on 12 soybean genotypes as the second cultivation in a randomized complete block design with three replications in Moghan region in 2011-12. Results of variance analysis of traits showed that the studied genotypes were significantly different each other in terms all traits were evaluated. Mean comparison showed that the highest economic performance belonged to genotype 5 (BAUTNY( with an average 3651.33 kg per ha and the lowest belonged to genotype 3 (L17) with an average of 2591.33 kg per ha. In the study of relationship between the traits, the number of pods per node with the number of pods per plant and growth duration and plant height at 5% flowering had positive significant relationship and the number of grain per pods and 1000 grain weights had negative significant relationship. Also, the results showed that there was negative significant relationship between 1000 grain weights and number of pods per node and the number of pods per plant and the relationship was positive and significant with the number of grain per pods. Thus, the role of each trait determine in explaining the yield. Genotypes can be classified into two groups by clustering and grouping of the figures the WARD method using Euclidean distance. The first group included genotypes 1, 6, 8, 11, 4, 9, 12 and 5 and the second group was genotypes 2, 3, 7 and 10.
Authors and Affiliations
Tofigh Zadfattah-Jelodar, Jalil Ajli and Mehdi Mehrpouyan
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