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Showing 4 results for Ammi

Amir Mohammad Mahdavi, Nadali Babaeian Jelodar, Ezatollah Farshadfar, Nadali Bagheri,
Volume 7, Issue 1 (9-2020)
Abstract

In order to determine yield stability of 23 bread wheat genotypes and two commercial cultivars as check, an experiment was conducted based on a randomized complete block design with three replications in the experimental field of faculty of Agriculture, Razi University Kermanshah (Iran), during three cropping seasons (2015-2018). The results of combined ANOVA showed that the effect of environment, genotype and genotype × environment interactions on grain yield were significant (P<0.01). Stability was evaluated using environmental variance statistics, coefficient of variation, Wrick´s ecovalence, Shukla’s stability variance, Regression slope, deviation from regression slope, Plaisted and Peterson method and AMMI model. Variance analysis of additive main effects and multiplicative (AMMI) showed that three IPCAs were significant at 1% probability level. The first three principal components justified a round 85.7% of the sum of square of the interaction. Also, AMMI stability value (ASV) was used for simultaneously using information obtained from two significant components of AMMI. According to ASV index, genotypes Pishgam, Wc-4958 and Pishtaaz had the lowest ASV value and were known as the most stable genotypes. Genotypes Wc-4987, Wc-47615, Wc-47399 and Wc-47638 had the highest ASV value and distance from the center of Bi-plot. Therefore, Pishtaaz is one of the most stable genotypes due to having the first rank in terms of studied parameters as well as proper bakery properties and desirable drought resistance. In general, regarding to the climate change in the country, especially in the rainfed conditions and based on the above statistics and the biplots derived from AMMI analysis, the Wc-4958 line, with pishtaaz and Pishgam cultivars as stable and adaptable genotypes, are suggested to rainfed conditions on the studied area.

Rahmatollah Karimizadeh, Tahmasb Hosseinpour, Jabbar Alt Jafarby, Kamal Shahbazi Homonlo, Mohammad Armion,
Volume 7, Issue 2 (3-2021)
Abstract

There are different methods for study the genotype × environment interactions and determining stable genotypes such as parametric, non-parametric and multivariate methods. In this research, 19 selective genotypes from advanced trials of durum wheat at 2011-2012 agronomic year, have been cultivated with Dehdasht check cultivar for three growing years (2012-2015) in five locations (including Gachsaran, Gonbad, Khorramabad, Moghan and Ilam) in a randomized complete block design with four replications in each location. Combined analysis of variance indicated significant effects of genotype, environment and interactions of genotype × environment. In parametric uni-variate methods, genotypes 7, 12, 18 and 20 were determined as stable genotypes. In non-parametric uni-variate methods, genotypes 2, 7, 12, 13, 18, 19 and 20 had the lowest genotype × environment interaction and they were determined as stable genotypes. In AMMI method, genotypes 2, 7, 12, 19 and 20 had the lowest rank in different environments and highest grain yield, and these genotypes seems more stable genotypes. It can be concluded that genotypes 7, 12, 18 and 20 could be considered as promising genotypes and candidate for introducing new durum cultivar.

Jamshid Moradpour, Hadi Ahmadi, Mahmoud Bagheri, Daryoush Goudarzi,
Volume 9, Issue 1 (9-2022)
Abstract

Eggplant (Solanum melongena L.) has a high genetic variation in Iran and there are many landraces of this crop in Iran. In the present study, 15 superior genotypes of eggplant which were selected from Minab landraces accompanying two superior mother landraces (totally 17 lines) were studied for two successive years in three regions of Iran including Minab, Karaj and Jiroft. The experiment was conducted in Randomized complete block design with three replications. Finally, total yield of both years was measured and the combined analysis was done and the best line(s) for different climates were introduced using evaluation the stability of the lines via AMMI and GGE biplot procedures. Based on the results of means comparison of yield in the studied lines in each region from average of two years, GHE12 line in Minab region, SA13 line in Jiroft region and AM4, SA15 and SA5 lines in Karaj region have higher fruit yield than the other lines. Based on the results of yield comparison of the examined genotypes in each region from the average of two years of testing, GHE12 genotype in Minab region, SA13 genotype in Jiroft region and AM4, SA15 and SA5 genotypes in Karaj region had acceptable yield compared to other genotypes. However, according to the results of special adaptability and stability analysis, Y genotype for Minab region, SA13 genotype for Jiroft region and AM4 genotype for Karaj region are recommended

Seyedeh Somayeh Mousavi, Omidali Akbarpour, Dr Tahmasb Hosseinpour,
Volume 10, Issue 1 (9-2023)
Abstract

In this research, 15 bread wheat genotypes along with Aftab variety as a control variety were implemented with 4 replications in the form of randomized complete block design for 3 crop years (2016-2019) at Sarab Chengai Station in Khorramabad. The likelihood ratio test (LRT) showed that the genotype-year interaction effect was significant for grain yield. Based on this, singular value analysis (SVD) was performed on the matrix of best linear unbiased predictions (BLUP) of genotype × year interaction to evaluate the stability of genotypes. The scree plot showed that the first principal component accounted for 71.7% and the second principal component accounted for 28.3% of the matrix changes resulting from the best unbiased predictions of the genotype interaction per year. The biplot of the first principal component of the environment against the nominal yield also showed that genotypes No. 9, 12 and 13 had a negligible contribution to the genotype × year interaction and had higher general stability. Also, the biplot of grain yield against the weighted average of absolute scores (WAASB) placed the genotypes in four regions, so that genotypes No. 15, 16, 12, 11, and 10 are in the fourth region due to high stability (low values WAASB) and magnitude of response variable (high performance) were identified as superior genotypes. The WAASBY index (weighted average of WAASB stability and performance) identified genotypes No. 15, 16, 12, 10, 11, 14, 9 and 4 as stable and high yielding genotypes. In general, based on WAASB and WAASBY indices and their comparison, genotypes 15, 16, 12, 11 and 10 were selected as the best genotypes that can be recommended for cultivation in similar climates.

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