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Soltan Mohamadi, S., Peyghambri, S., Babaei, H. (2017). Study the adaptability and yield sustainability of soybean genotypes in four regions of Iran. , 48(2), 389-397. doi: 10.22059/ijfcs.2017.63482
Simin Soltan Mohamadi; Seyed Ali Peyghambri; Hamidreza Babaei. "Study the adaptability and yield sustainability of soybean genotypes in four regions of Iran". , 48, 2, 2017, 389-397. doi: 10.22059/ijfcs.2017.63482
Soltan Mohamadi, S., Peyghambri, S., Babaei, H. (2017). 'Study the adaptability and yield sustainability of soybean genotypes in four regions of Iran', , 48(2), pp. 389-397. doi: 10.22059/ijfcs.2017.63482
Soltan Mohamadi, S., Peyghambri, S., Babaei, H. Study the adaptability and yield sustainability of soybean genotypes in four regions of Iran. , 2017; 48(2): 389-397. doi: 10.22059/ijfcs.2017.63482

Study the adaptability and yield sustainability of soybean genotypes in four regions of Iran

علوم گیاهان زراعی ایران
Article 8, Volume 48, Issue 2, September 2017, Pages 389-397    PDF (445.04 K)
Document Type: Research Paper
DOI: 10.22059/ijfcs.2017.63482
Authors
Simin Soltan Mohamadi1; Seyed Ali Peyghambri* 2; Hamidreza Babaei3
1Former M. Sc. Student, Faculty of Agriculture, Islamic Azad University, Karaj Branch, Iran
2Professor, University College of Agriculture & Natural Resources, University of Tehran, Karaj, Iran
3Assistant Professor of Research, Seed & Plant Improvement Institute, Karaj, Iran
Abstract
The sustainability performance of 20 soybean genotypes, in four regions of Iran (Karaj, Gorgan, Khorramabad and Moghan) assessed in a randomized complete block design with four replications. The measured traits included the number of days from sowing to flowering, pod formation, filling and full grain maturity, plant height (cm), node numbers on stems, seed yield per plant (g), 100 grain weight (g), number of branches, number of pods as well as seed yield (kg per ha). Results revealed that the genotypes described 13.46% and the environment defined 56.02% of the total sum squares, while genotype × environment accounted for 30.52% of the variability that was about 2.5 times of the amount caused by genotype changes. This showed the fundamental differences among the genotypes in response to environment. Environment and genotype significant differences revealed the genotypes variances throughout the environment test. In order to analyze the interaction of genotype × environment using AMMI, the principal component analysis was performed on the remaining matrix, in which the first and second main components were significant at 1% level. The first main component (IPCA1) allocated 56.56% and the second component (IPCA2) assigned 31.11% of the sum of squares of the interaction, that make up a total of 87.67% of the sum of squares of mutual explained. The lowest soybean yield was related to Gorgan region, and the stability parameter value (AMMI1) was belonged to genotypes 5, 15, 18 and 13 with 2676.6, 2545.2, 2610.924, 2575.4 seed yield Kg ha-1, respectively and these genotypes announced as the best ones.
Keywords
Adaptability and yield sustainability; AMMI model; genotype environment; Principal component analysis; soybean
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