اسماعیل نبی زاده Articles List

List of Articles اسماعیل نبی زاده

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1 - The assessment of quantitative and qualitative yield of different native and foreign sugar beet (Beta vulgaris L.) cultivars under optimal and limited irrigation conditions
heydar azizi Esmail Nabizadeh Azad Ebrahimi Rahim Mohammadian
20.1001.1.76712423.1399.15.59.5.2

This study was conducted to evaluate 18 different native and foreign sugar beet cultivars in terms of some important quantitative and qualitative traits under optimal and limited irrigation conditions in 2017 crop season in as a strip split plot design (normal and stres More

This study was conducted to evaluate 18 different native and foreign sugar beet cultivars in terms of some important quantitative and qualitative traits under optimal and limited irrigation conditions in 2017 crop season in as a strip split plot design (normal and stress conditions) as main plots and cultivar factor as sub plots based on RCB design with six replications. The results of combined ANOVA of the obtained data showed that the interaction effect of the environment × cultivar was significant on sugar yield, white sugar yield, alkalinity coefficient, molasses sugar (p≤0.05), and root potassium content (p≤0.01) traits while it had no effect on other traits. Based on the obtained results from ANOVA, the effect of cultivar was not significant on α-amino nitrogen trait while it was significant on other assessed traits under normal condition. Also, under stress condition, the cultivar effect was significant at p≤0.01 on all of the assessed traits. In terms of root yield trait, Merak and Dorthea foreign cultivars had the highest value with 86.5 and 70.4 t ha-1 and Sharif native cultivar had the lowest value with 14.3 and 17.2 t ha-1 under normal and stress conditions, respectively. Under normal and stress conditions, the mean sugar contents were calculated 19.88 and 20.15%, respectively. Although the difference was not significant, the increase in sugar content (about 1.34%) under stress condition was as expected. Given that the decreasing and increasing effects of water deficit stress on most measured traits were not significant, it can be found that sugar beet crop has a good tolerance threshold for water deficit and, surely the finding should always be considered by beet farmers in West Azarbaijan province, especially in the current situation in which there are attempts to revive the drying Urmia lake. Manuscript profile
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2 - Selection of traits affecting sugar yield as selection criteion in various domestic and foreign sugar beet (Beta vulgaris L.) cultivars
Farhang Movloudi Esmail Nabizadeh heydar azizi
10.30495/iper.2021.686564

20.1001.1.76712423.1400.16.63.9.1

In order to identify traits affecting sugar yield and determine cause and effect relationships between them, 13 different domestic and foreign sugar beet monogerm cultivars were evaluated at three different harvest time (7 October, 22 October, and 6 November) in a RCB d More

In order to identify traits affecting sugar yield and determine cause and effect relationships between them, 13 different domestic and foreign sugar beet monogerm cultivars were evaluated at three different harvest time (7 October, 22 October, and 6 November) in a RCB design with four replications in terms of 11 important quantitative and qualitative traits in 2018 crop season in Miandoab Agricultural Research Station. The ANOVA results showed that the difference between studied cultivars was significant for all evaluated traits at 0.01 probability level. Phenotypic and genotypic coefficients of variation were high for most traits, indicating relatively high variability in the studied cultivars for evaluated traits. Genetic correlation coefficients between traits showed that the highest positive and significant correlations were observed between sugar yield trait on the one hand and white sugar yield (0.88**), impure sugar content (0.71**) and white sugar content (0.65**) traits in that order, and the highest negative and significant correlation was found between sugar yield trait on the one hand and molasses sugar (-0.62**), alkalinity coefficient (-0.58**), and root potassium (-0.52**) traits, in that order. In multiple regression analysis by stepwise method, sugar content, white sugar content, α-amino nitrogen, and root yield traits were entered into the regression model, respectively, that explained %84 of the total sugar yield variations. Based on path analysis results, sugar content (1.12) and root yield (1.03) traits had the highest positive direct effect on sugar yield and thus, selection based on these traits can help us to achieve high-yielding genotypes. Manuscript profile
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3 - Investigating agrotechnological features affecting sugar yield of Beta vulgaris L. in different planting dates for cultivar selection in northwest of Iran
Esmail Nabizadeh Farhang Movloudi Heydar Azizi
10.30495/iper.2022.690228

20.1001.1.24237671.1402.18.69.4.2

In order to identify the agrotechnological features on sugar yield and determine the cause and effect relationships between them, 13 different domestic and foreign monogerm varieties of sugar beet were evaluated in a completely randomized design with four replications i More

In order to identify the agrotechnological features on sugar yield and determine the cause and effect relationships between them, 13 different domestic and foreign monogerm varieties of sugar beet were evaluated in a completely randomized design with four replications in terms of 11 important quantitative and qualitative traits in the station Miandoab Agricultural Research Station during three different harvest dates (October 15, October 30, and November 15) in the crop year 2017. The results of analysis of variance showed that the differences between the studied cultivars in terms of all evaluated traits were significant at p≤0.01. Phenotypic and genotypic diversity coefficients were high for most of the traits, which indicates relatively high diversity in the studied cultivars for the evaluated traits. The genetic correlation coefficients between the traits showed that the highest positive and significant correlation was between the sugar yield trait and the pure sugar yield traits (0.88), gross sugar percentage (0.71), and pure sugar percentage (0.65) in this order while there was a negative and significant correlation between the sugar yield trait and the traits of molasses sugar content (-0.62), alkalinity coefficient (-0.58), and root potassium content (-0.52). In the step-by-step multiple regression analysis, sugar percentage traits, gross sugar percentage, harmful nitrogen content and root yield were entered into the regression model in that order, which justified 84% of the total sugar yield. Based on the results of causality analysis, the traits of gross sugar percentage (1.12) and root yield (1.03) respectively had the most direct effect on sugar yield, so selection based on these traits can help us achieve the genotypes with high sugar yields.  Manuscript profile

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List of Articles اسماعیل نبی زاده