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Showing 7 results for Genotype
Peyman Sharifi, Hashem Aminpanah,
Volume 3, Issue 2 (3-2017)
Abstract
In order to investigate yield stability, genotype×environment interactions and estimation of a number of genetic parameters related to yield and yield components, seven promising rice lines together with Shirodi and line 843 (as control cultivars) were evaluated. The experiment was carried out base on randomized complete block design with three replications in three locations of Mazandaran province, Iran (Tonekabon, Amol and Sari) during three growing seasons from 2012 to 2014. Analysis of variance revealed that there were significant differences among genotypes for yield at almost all three locations. Combined analysis of variance indicated that there were no significant differences among locations and years, whereas year×location×genotype interaction was found significant for grain yield, plant height and thousand grain weight. Results of stability analysis by univariate methods showed that genotype number 6 was the most stable genotype over all three locations, having less variance within locations and smaller coefficients of variance and a high grain yield (6020.8 kg ha-1 ). The high coefficient of phenotypic and genotypic variation was indicative to genetic variability for all of the studied traits. The broad-sense heritability ranged from 49.06% (plant height) to 92.48%% (number of filled grain per panicle) and was 59.46% for grain yield. The highest phenotypic and genotypic coefficients of variation and genetic gain over total average obtained for the number of grains per panicle. Thus, it is possible to improve this trait by selection method and could be used as a selection index to improve grain yield. Overall, genotype number 6 could be considered as a superior genotype to achieve a dwarf cultivar with stable yield.
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.
Rahmatollah Karimizadeh, Tahmasp Hosseinpour, Peyman Sharifi, Jabar Alt Jafarby, Kamal Shahbazi, Kavoos Keshavarzi,
Volume 8, Issue 1 (8-2021)
Abstract
Durum wheat (Triticum turgidum L.), like most other crops, is affected by various stresses. Therefore, cultivars that, in addition to the ability to produce higher yields, can maintain their yield potential in different years and locations are considered superior cultivars. In order to obtain high-yielding and stable genotypes of durum wheat, 16 lines with two control cultivars Dehdasht and Seymareh were evaluated in four locations of Gachsaran, Gonbad, Khorramabad and Moghan based on randomized complete block design with four replications in three cropping seasons (2013-2016). Combined analysis of variance indicated a significant effect of genotype, environment and genotype by environment interaction. Genotypes G6 and G18 had the highest and lowest grain yield, respectively. Based on parametric methods, genotypes G3, G5, G15, G13 and G16 and based on non-parametric methods, genotypes G1, G3, G4, G5, G15 and G3 were the most stable genotypes. The most stable genotypes based on the total Kang sum-rank were genotypes G15, G5, G6 and G1. The Selection index of ideal genotype (SIIG) was used to integrate all indices into one index, based on which genotypes G5 and G15 were the superior genotypes with the highest SIIG index and grain yield. Based on all indices, genotypes G5 and G15 were the most stable genotype in terms of grain yield and can be used in cultivar introduction processes.
Hossein Zeinalzadeh-Tabrizi, Sadollah Mansouri, Abbas Fallah-Toosi,
Volume 8, Issue 1 (8-2021)
Abstract
Analysis of genotype by environment interaction using different statistical methods is very important in plant breeding. In order to evaluate the seed yield stability of promising sesame lines using different parametric and non-parametric statistics, an experiment was conducted using 13 promising sesame lines with check variety Oltan at three locations of Karaj, Mashhad, and Moghan (Iran) in a randomized complete block design with four replications over two years (2016 and 2017). Combined analysis of variance for seed yield of promising sesame lines showed that the effect of genotype and the three-way interaction of genotype × year × location at the level of 0.01% probability were statistically significant. Karaj-96 environment with 1346 kg/ha and Mashhad-96 environment with 1001 kg/ha had the highest and lowest mean yield, respectively. The highest and lowest mean seed yield among genotypes in all test environments were related to G6 line with 1444 kg/ha and G12 line with 762 kg/ha, respectively. Heatmap along with cluster analysis divided both genotypes and stability parameters into three groups. Based on cluster analysis, genotype G12 was clustered into the first group, genotypes G1, G3, G7, G8, and G13 were clustered into the second group and the rest of the genotypes along with the check cultivar Oltan were clustered into the third group. The genotypes of the second group with the highest rank in most criteria of stability stasistics were stable compared to other genotypes and among them, the genotypes G8, G1 and G3 (with mean yields 1417, 1398 and 1291 Kg/ha, repectively) were selected and recommended in the test locations due to their average yield above the average yield of all genotypes.
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
Jafar Ahmadi, Amir Abbas Taghizadeh, Mohialdin Pirkhezri,
Volume 9, Issue 2 (3-2023)
Abstract
To determine the ideal genotypes in terms of the quantity and quality of fruit, 32 genotypes of greengage were evaluated in a randomized complete block design with three replications at the research station of Horticultural Research Institute in Karaj during two cropping seasons 2018 and 2019. To evaluate the genotypes and to determine the ideal genotype, 26 traits related to fruit, fruiting and yield were used. Combined variance analysis of data showed that the genotype source of variation was significant for all studied traits at the level of 0.01 probability level. ASIIG index showed that the genotypes CodR, Cod100, Malayer, and Gojeh Siah are the best and most desirable genotypes with an index higher than 55%, respectively. Also, Cod98, Cod99, Gojeh Baghi Qasr Dasht, Gojeh Qomi, and Gojeh Holandi with ASIIG index higher than 49% were ranked next. The grouping of genotypes using ASIIG method diagrams, the genotypes CodR, Cod100, Cod98, Cod99, Gojeh Malayer, Gojeh Siah, and Gojeh Baghi Qasr Dasht were located in the ideal quartile. Using cluster analysis, the genotypes CodR, Cod100, black, and Malayer as well as completely ideal hypothetical genotype (+) were placed in a group at a distance line of 0.018. According to the results of this study, seven genotypes CodR, Cod100, Cod98, Cod99, Gojeh Malayer, Gojeh Siah, and Gojeh Baghi Qasr Dasht were selected as the ideal genotypes in terms of fruit quantity and quality. Finally, due to the high benefits of the ASIIG index, it was suggested that this index can be used in other horticultural products to determine the ideal genotype.
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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