hamze hamze

Root rot is a serious threat for sugar beet production and consequently sugar industry. The most important way to deal with it is to use resistant cultivars. In order to identify and grouping new O-type lines resistant the fungus that causes rhizoctonia and crown rot root in sugar beet, 83 O-type lines along with three resistant control (Novodro and line SB-709) and a susceptible (bulk 191) lines were evaluated in microplot in Hamedan in 2023. Artificial inoculation was performed by propagating the Rh133 isolate with AG2-2 anastomosing group on corn seeds and placing next to two months sugar beet seedlings. At the end of the growing season, roots were harvested and evaluated using 1-9 scale, and the disease and harvest indices were calculated accordingly. In the present study, the average number of roots, disease index, and harvest index for the evaluated genetic mass were 17.16, 4.05 and 17.18, respectively. O-types 5 (OT 010245), 32 (OT 010277) and 80 (OT HSF-010041) obtained the highest number of roots and harvest index and lower disease index compared with other genotypes. Based on the SIIG index, it was found that O-types 36 (OT 010282), 32 (OT 010277), 5 (OT 010245), 80 (OT HSF-010041), 28 (OT 010273), and 1 (OT 010240) were adjacent to the ideal O-types in terms of the number of roots, disease index, and harvest index. Results of the cluster analysis classified the evaluated O-types into four groups. O-types 5 (OT 010245), 80 (OT HSF-010041), 32 (OT 010277) and 36 (OT 010282) were placed in a cluster that had significantly lower disease index and higher harvest index as well as SIIG index closer to 1 compared with other three groups. Also, the biplot analysis based on the first two components showed that O-types 80 (OT HSF-010041), 1 (OT 010240), 28 (OT 010273), 5 (OT 010245), 32 (OT 010277) and 36 (OT 010282) were placed in a suitable position of the biplot in terms of resistance indicators. Finally, O-types 5 (OT 010245), 80 (OT HSF-010041), and 32 (OT 010277) were identified as resistant maternal lines for future breeding programs.

To investigate the effect of silica and selenium foliar application along with chemical and organic fertilizers on sugar beet, an experiment was conducted as a split-plot experiment based on a randomized complete block design with three replications in the crop year 2022 in the research farm of the Islamic Azad University of Mahabad. The main plot was fertilizer treatments (NPK fertilizer, vermicompost, and control (without fertilizer)), and the sub-plot factor was foliar application treatment (including silica, selenium, silica+selenium, and control). Results showed that treatment NPK fertilizer with increased chlorophyll a, chlorophyll b, carotenoids, relative water content, sugar content, and white sugar content by 26.02%, 27.42%, 55.60%, 7.48%, 23.90%, and 29.47%, compared with control treatment, respectively. Also, silica foliar application increased the above-mentioned traits by 11.94%, 29.25%, 82.48%, 26.11%, 11.17%, and 22.33%, compared with the control treatment. The results showed that silica foliar application with NPK fertilizer and vermicompost treatments had the highest leaf area index (5.10 and 4.8, respectively), root yield (76.83 and 46.27 t/ha, respectively), sugar yield (14.81 and 14.38 t/ha) and white sugar yield (11.84 and 11.39 t/ha, respectively). In this study, silica foliar application treatment, along with NPK chemical fertilizer and vermicompost treatments, increased white sugar yield compared to NPK fertilizer and non-foliar applications. Therefore, it can be stated that using silica in combination with NPK fertilizer and vermicompost positively affected the improvement of white sugar yield.

Evaluating the resistance of lines under artificial inoculation in micro-plot condition is one of the most effective methods to obtain disease-resistant lines. In order to determine the appropriate time to evaluate the resistance of sugar beet lines to rhizoctonia rot, an experiment was carried out in Hamedan in 2022 under artificial inoculation in micro-plot. The experimental treatments consisted of six different times of harvest and root evaluation including 12, 18, 22, 24, 26 and 29 days after inoculation with two replications for two susceptible and resistant genotypes. Growing degree days in all treatments was recorded from inoculation time until harvest, and finally the growth degree day was achieved for each treatment in this period. Roots were evaluated on a scale of 1-9 at the harvest. Root evaluation period was calculated by curve fitting between the growing degree days received as variable x and the percentage of rotted roots in susceptible genotype as variable y to determine the start of the evaluation period and using curve fitting between growing degree days received as variable x and the disease index of resistant genotype as variable y to determine the end of the evaluation period. Results of the experiment showed that the appropriate time to evaluate the resistance of sugar beet roots to rhizoctoneia is from 483 growing degree days to 518 growing degree days after inoculation.

The present study was conducted with the aim of evaluating and grouping new domestic and foreign sugar beet cultivars for quantitative and qualitative characteristics in the western region of the country.

In these experiments, 12 domestic and foreign commercial cultivars were evaluated in a randomized complete block design with three replications in the two regions of Kermanshah and Lorestan.

The results showed that the Rivolta variety in the Kermanshah region, and the Perfekta variety in the Lorestan environment showed the highest root yield, sugar yield and with sugar yield. Also, in the Kermanshah environment, the cultivars Rivolta and Anaconda were the closest cultivars to the ideal cultivar, and in the Lorestan environment, the cultivars Perfekta and Cadmus were the closest to the ideal cultivar respectively. Based on the results of cluster analysis, cultivars were classified into three groups in Kermanshah and five groups in Lorestan. So, in the Kermanshah area, three cultivars Anaconda, Perfekta, and Rivolta, and in Lorestan three cultivars of Anaconda, Gecko, and Perfekta were placed in a cluster that had the best quantitative and qualitative characteristics. In factor analysis, two factors were identified in both environments, which explained 77.85% in Kermanshah and 88.11% of data changes in Lorestan conditions.

In this study, two commercial cultivars, Anaconda and Perfekta, had the best quantitative and qualitative characteristics in both environments. Cultivation of these two cultivars can improve the potential of sugar production in the western region of the country.

To investigate the effect of organic fertilizers on the quantitative and qualitative characteristics of sugar beet under different moisture conditions, a study was conducted as a split plot experiment based on a randomized complete block design with three replications in Mahabad city in 2021. Irrigation treatments, including irrigation after 60 (normal), 90 (mild stress), and 120 (severe stress) mm evaporation from the class A evaporation pan, and organic fertilizer treatments (control, vermicompost, manure, and humic acid) were placed in main plots and sub-plots, respectively. Severe water stress conditions reduced the content of chlorophyll a (22.82 %) and relative water content (RWC) (24.35 %) and increased the content of proline (47.43%), beta glycine (17.89%), catalase (21.30 %), malondialdehyde (47.95 %) and water use efficiency (WUE) (23.83%) compared to normal irrigation conditions. Also, the application of vermicompost increased the amount of chlorophyll a, RWC, proline, glycine beta, catalase content, and WUE by 29.11, 20.15, 34.83, 14.98, 13.70, and 21.56 percent, respectively, and decreased the content of malondialdehyde about 18.53% in comparison to control. In this study, the highest stomatal conductivity (51.01 mol.m-2s-1), chlorophyll b content (16.3 mg.g-1FW), carotenoid (4.27 mg.g-1 FW), roots yield (78.33 t.ha-1) and the lowest content of hydrogen peroxide (0.96 μmol.g-1FW) allocated to the vermicompost treatment under normal irrigation conditions. Root yield showed a positive and significant correlation with stomatal conductance, chlorophyll b, carotenoid, RWC, and WUE, but a negative and significant correlation with catalase enzyme activity, hydrogen peroxide content, malondialdehyde, and sugar content.

To prepare and evaluate test cross hybrids resistant to rhizomania and cyst nematode based on new single crosses, 48 test cross hybrids produced were evaluated in 2021 in the augmentation design along with Iranian and commercial hybrid varieties in six regions )Karaj, Mashhad, Shiraz, Kermanshah, Miandoab, and Hamadan(. Genotypes mean comparison showed that BTS2015N had the highest root yield in Karaj, Mashhad, Shiraz, Kermanshah, and Hamadan and an average of six locations with an average of 133.97, 114.45, 77.14, 102.80, 97.08, and 104.91 t/ha, respectively. The Wawilow cultivar also had the highest sugar content in Karaj, Mashhad, Shiraz, and Kermanshah and an average of six locations with an average of 17.61, 18.31, 24.06, 19.57, and 18.62 percent, respectively. In addition, in a total of six locations, there was no significant difference among hybrids 39, 40, 31, and 35 in terms of root yield and hybrids 24 and 47 in terms of sugar content with the external control cultivar BTS2015N. In this study, new hybrids 40, 38, 23, Nika, and Bifort cultivars have the lowest ASV values with 0.062, 0.117, 0.154, 0.245, and 0.256, respectively, were considered stable genotypes in terms of root yield. Also, based on the results of the GGE biplot method, the new hybrids 13, 24, 32, 23 had the highest general stability. In this study, the BTS2015N cultivar for the environments of Karaj, Kermanshah, Shiraz, and Hamadan and the Annamira KWS cultivar for the Miandoab environment showed high specific adaptability.

Five new and resistant rhizomania multigerm hybrids were prepared by crossbreeding of related parents and for preliminary evaluation and compatibility evaluation with two multigerm and resistant and one sensitive internal control, were evaluated in five regions of Hamedan, Karaj, Mashhad, Shiraz, and West Azerbaijan under Rhizomania natural infection. The design was a randomized complete block with four replications, which was conducted in the 2020 crop year. In this study, root yield, sugar content, white sugar content, and white sugar yield were measured.In the present study, although there was no significant difference between genotypes in Karaj and Shiraz in terms of white sugar yield, but in Mashhad and Hamedan environments, hybrid No.3, with an average of 11.24 and 13.51 ton/ha, respectively, and in Miandoab environment foreign control cultivar (Aras) with an average of 15.06 ton/ha, showed the highest white sugar yield. AMMI analysis results showed that the first two components explained 69.81 and 25.48% of the variance of the interaction for root yield, respectively. The biplot diagram obtained from the first and second main components of interaction for genotypes and environments showed that genotype G7 (Motahar) was a stable genotype and G9 (Aras) was an unstable genotype. Based on the results of two-dimensional diagrams related to the first two main components of the interaction of genotype in the environment, for Miandoab and Shiraz environments, genotype number G9 (Aras) and for Hamedan, Mashhad, and Karaj environments, G3 hybrid showed suitable private compatibility and was identified as suitable genotypes for these environments.

Rhizoctonia root rot is a widespread and destructive disease that affects sugar beet yield in Iran and worldwide. In this study, we investigated integrated disease management methods, including the use of resistant cultivars and fungicides, to prevent the development of the disease. The present study focused on the Shokoufa susceptible cultivar and the Novodoro resistant cultivar, and tested three fungicides of Celeste, Uniform, and Maxim. The experiment was conducted under natural and artificial contamination conditions during 2022. The results showed that the Uniform fungicide effectively prevented the development of the disease on the resistant cultivar, resulting in a harvest index of 70.59%. Although this fungicide did not work as effectively on the susceptible cultivar, it still showed better performance compared to other experimental treatments. The Celeste fungicide had a disease index of 3.29 on the resistant cultivar, with 5% of the root surface having ulcers. However, it did not have a significant effect on disease control in the susceptible cultivar, which showed a sensitivity reaction. The harvest index of the resistant cultivar in this treatment was 76.47%, while the susceptible cultivar had a harvest index of 11.76%. The Maxim fungicide and control treatments had similar effects on both the resistant and susceptible cultivars in terms of disease and harvest indexes. Although the severity of the disease was lower in the resistant cultivar compared to the susceptible cultivar, both cultivars showed a low harvest index and were in the sensitive range..

To study the effect of different levels of melatonin on the biochemical properties and the amount of expression of genes related to the activity of antioxidant enzymes in bread wheat, a split plot experiment was conducted based on a randomized complete Triticum aestivum block design. Irrigation levels (normal (FC = 80%)), mild stress (FC = 60%), and severe stress (FC = 40%)) were allocated to the main plots and melatonin foliar spray (zero, 50, 100, 150, and 200 μM) were assigned to subplots. The results showed that the flavonoid content and ascorbate peroxidase enzyme activity increased with the intensification of dehydration stress. The level of 100 µM melatonin had the highest flavonoid content, ascorbate peroxidase enzyme activity. The mean comparison interaction treatments showed that the highest content of proline, phenol, superoxide dismutase and catalase was assigned to the 100 µM melatonin foliar spray under conditions of extreme stress of dehydration. Also, the lowest amount of malondialdehyde was observed for the 50 μM melatonin foliar treatment under normal irrigation conditions. The highest content of chlorophyll a, chlorophyll b, carotenoid and grain yield were recorded in the treatment of foliar spray of 100 μM melatonin and normal irrigation conditions. In this investigation, the maximum expression of superoxide dismutase, ascorbate peroxidase, polyphenol oxidase and catalase genes were determined in the foliar spray of 100 and 150 μM melatonin levels under conditions of extreme stress. . The foliar spray of melatonin, especially at the level of 100 μM, could moderate the effect dehydration stress on grain yield by improving biochemical and antioxidant properties.

In order to study effect of planting date and seed priming on some morphological characteristics, sugar yield and yield sugar yield components of sugar beet (Beta vulgaris), An experiment was conducted on a farm land in Mahabad city at 2020 growing season. The experiment design was split plot based on randomized complete block with four replications. planting date (March 5, April 3 and May 4) assigned to main plots, and priming types (Salicylic acid, hydropriming, chitosan and control (no priming)) assigned to sub plots. In this study, the traits of chlorophylla and chlorophyllb content, carotenoids, relative leaf water content sugar content, white sugar content, root yield, sugar yield and white sugar yield were measured. In this study, the highest content of chlorophyll a, chlorophyll b, carotenoids, leaf area index, was allocated to the March 5th planting time. Also, salicylic acid priming and hydropriming had the highest content of chlorophyll a, chlorophyll b, carotenoids, leaf area index. Among the interactions of planting time with priming treatments, the highest relative water content of leaves (75.50%) , root yield (60.1 t / ha), sugar content (19.49), white sugar content (15.02), sugar yield (10.91 tons per hectare) and white sugar yield (8.31 tons per hectare) were allocated to April 3 planting time and priming with salicylic acid.The results also showed that salicylic acid priming and hydropriming at all planting times increased the white sugar yield compared to the control treatment and moderated the adverse effect of delay at planting time on the white sugar yield.

Sugar beet has long-growth period and high-water use. Thus, managing to reduce water consumption and decline growth period causes to increase the crop productivity. Sugar beet provides more than one-half of sugar produced in the United States and about 40% of sugar production in the world. The root of this crop contains 13- 22% sugar content. In general sugar beet also has a major role in the human diet and it is the mainstay parts of the agriculture economy in Iran. The leaves of sugar beet comprise the main light receptor organ for a crop. Leaf area development early during the season causes more efficient use of sunlight since it is important to the formation and expansion of the canopy. Sugar beet in the primary growth stages needs a warm and sunny climate and optimum water supply for optimal photosynthesis and photoassimilate partitioning.

This purpose study was performed in the research field of Hamedan in 2016. The experiment was conducted in a split-split plot based on RCB design with four replications. Experimental treatments were planting date at two levels as main plot (May 14 and June 28), irrigation at two levels as sub-plot (full irrigation and 75% of full irrigation or water requirement), and cultivar at 3 levels (two premature hybrids and the resistant cultivar to Rhizoctonia (Arya)) as sub-sub-plot at 2016 crop season. Studied traits were root yield, sugar content, sugar yield, and Enzyme activities such as SOD, PO, leaf chlorophyll, and some physiological and morphologic traits. SAS software version 9.1 was used to analyze the data. Also, the mean of the studied parameters was compared using the least significant difference test (LSD) at the level of 5 percent probability.

Based on the results of the analysis of variance, the difference between planting dates in terms of superoxide dismutase content, root yield, sugar yield, white sugar yield, and water use efficiency was significant at the level of 1% probability. There was a significant difference between irrigation levels in terms of superoxide dismutase and water use efficiency at 1% probability level and membrane lipid peroxidation content, peroxidase enzyme, chlorophyll a, chlorophyll b, and carotenoid content at 5% probability level. There was a significant difference between the studied genotypes in terms of root yield and sugar yield at a probability level of 1% and in terms of white sugar yield and water use efficiency at a probability level of 5%. The interaction effect of culture date on genotype was significant in terms of the effect on the percentage of white sugar and yield of white sugar at the level of 1% probability. The interaction effect of irrigation levels in genotype was significant only on water use efficiency at the level of 1% probability. The results showed that irrigation level 75% of plant water requirement compared to 100% level increased, hydrogen peroxide content, membrane lipid peroxidation, peroxidase activity and superoxide dismutase activity by 14.83, 25, 17.38, and 26%, respectively and reduced chlorophyll a, chlorophyll b and carotenoid content by 15%, 12%, and 14%, respectively. Also, the amount of superoxide dismutase activity and root yield on planting on May 14 was 33% and 26% higher than planting on July 28, respectively. Root yield in 33868 and 33872 hybrids was higher than Aria cultivar. The results also showed that the difference between the planting dates of May 14 and June 28 in the two hybrids 33868 and 33872 was not significant in terms of sugar content, white sugar yield, and water use efficiency. Also, the planting date of June 28 increased the percentage of white sugar in both hybrids. Finally, two hybrids, 33868 and 33872, obtained the highest water efficiency in the treatment of 75% of the required water.

In the conditions that there is a possibility of delay in the cultivation of sugar beet, planting two hybrids, two hybrids 33868 and 33872, is recommended.

In this study, the values of input energy, output energy, net energy in the production of sugar beet were 67170.9, 1215006 and 1147835 MJ respectively. Fossil fuels, chemical fertilizers and irrigation water accounted for 31.29, 27.76 and 24.91% of the total input energy, respectively. In this study, 0.274, 0.161, 0.00161, 11.80 and 0.00074 kg of each of NH3, N2O, NOX, CO2 and CH4 pollutants were introduced to produce one ton of sugar beet, respectively. In this study, to produce one ton of sugar beet, 0.274, 0.161, 0.00161, 11.80 and 0.00074 kg of each of NH3, N2O, NOX, CO2 and CH4 pollutants, respectively entered the environment. NH3 pollutant has the largest share in the group of the effect of acidity and utrification in the sugar beet production system. In this study, the final index of impact groups including global warming, acidity, depletion of fossil resources and depletion of water resources, depletion of phosphate and potassium resources sugar beet production in Piranshahr region were, 0.01, 0.0013, 0.00049 and 0.60, 0.095, respectively. The final environmental index (EcoX) and the final discharge index (RDI) in the production of this product were equal to 0.0295 and 0.0806, respectively. Conclusion In this study, the impact groups of depletion of water resources and depletion of phosphate resources had the highest potential for environmental damage, respectively, in the form of impact groups of depletion, Therefore, by constructing pressurized irrigation systems with high irrigation efficiency

To evaluate the effect of zinc nano-chelate and mycorrhizae on the biochemical properties of leaf and root yield under different irrigation levels, a split-plot design based on randomized complete block design with three replications was conducted in 2019. Irrigation treatments including irrigation after 60-, 90-, and 120-mm of evaporation from class A pan were allocated to the main plots and fertilizer treatments (control, inoculation with mycorrhiza, zinc nano-chelate, and zinc nano-chelate + mycorrhiza) to the sub-plots. In this study, irrigation after 120 mm of evaporation reduced the amount of chlorophyll a (17.01%), chlorophyll b (8.09%), carotenoid content (28.78%) and superoxide enzyme inhibition (31.14%), and increased leaf flavonoid content (25.47%), compared with irrigation after 60 mm of evaporation. Among the fertilizer treatments, zinc nano-chelate + mycorrhiza treatment had the highest chlorophyll-a (9.30 mg/g fresh weight), chlorophyll b (3.84 mg/g), carotenoid content (3.94 mg/g), superoxide enzyme inhibition (33.53 percent). The interaction effect of irrigation and fertilizer in irrigation after 60 mm of evaporation along with nano-chelate zinc + mycorrhiza fertilizer treatment had the highest nitric acid radical inhibition (23.45 percent) and root yield (82.62 t/ha), and the lowest leaf proline content (0.49 mg/g), as well as leaf phenol content (34.19 mg of gallic acid/ g dry weight). In this study, application of mycorrhiza, especially under water deficit conditions, through improving biochemical properties and regulation of antioxidant enzymes activity, was able to moderate the effect of water stress on root yield and also increase root yield compared with control.

Decreasing of water consumption, chemical inputs, production cost and risk are among the most important advantages of transplanting method. The aim of this study was to compare the transplanting and direct seeding methods in sugar beet. For this purpose, root transplanting along with direct seeding were performed in the farmer’s field in Hamedan in 2018. Sugar beet transplants were prepared in planting stock in April and transplanted to the main field in June. Direct seeding of sugar beet was performed in the main field in mid of May. During the growing season, necessary notes were taken and at the end of the season, root sampling was performed. After harvest, two planting systems were evaluated in terms of quantitative, qualitative and economic characteristics. Root transplanting system caused an increase in root yield and sugar yield by 15 and 47%, respectively compared with direct seeding system. Water consumption under root transplanting was 10080 m3 ha-1 which was about 18% less than direct seeding. In terms of water use efficiency, root transplanting method with an efficiency of 9.66 kg root m-3 was about 40% more than direct seeding method (6.90 kg root m-3). The economic evaluation of two planting methods also showed that the increase in net income by changing planting pattern from conventional to root transplanting system was higher. In general, results showed that root transplanting system had higher quantitative and qualitative yield and economical income compared with direct seeding method.

One of the most important diseases of sugar beet (Beta vulgaris L.) is Rhizomania or Root madness, which is currently prevalent in all parts of the world. The damage of this disease in susceptible cultivars has been estimated at more than 50% and in some cases up to 100%. Due to the increase in the countrychr('39')s population and the need for sugar, sugar beet crop has a special place among crops. To evaluate genetic parameters, relationships between traits, and grouping of different sugar beet genotypes, 44 sugar beet hybrids in four regions (Hamedan, Kermanshah, Mashhad, and Shiraz) was evaluated in 2019. The experiment was conducted in the form of an incomplete block design (alpha latest) in 6 replications. The results showed that sugar content and root yield with 88.24 and 59.53%, respectively, had the highest and lowest values of broad-sense heritability. In this study, white sugar yield with root yield, sugar content, sugar yield, sugar extraction coefficient, and white sugar content showed a positive and significant phenotypic and genetic correlation, and with root potassium content and molasses sugar had a negative and significant correlation. Based on stepwise regression analysis root potassium, sugar content, and nitrogen content were explained 52% of the white sugar yield variation and identified as the most effective traits in justifying white sugar yield variation. Cluster analysis classified 44 hybrids and 3 controls of sugar beet cultivar into four clusters in four locations. Cluster number four included hybrids No. 20, 43, 31, 23, 25, 24, and 37 and foreign control cultivars Succara and BTS 213, and had the most suitable quantitative and qualitative characteristics. In factor analysis through principal component analysis, two factors were identified that explained 82.52% of the total variance of the data. In this study, root potassium content and sugar content were identified as the most effective traits, and hybrids located in the cluster of four identified as the most suitable hybrid for future breeding programs.

To investigating the effect of superabsorbent polymer application on agronomic properties and forage yield of alfalfa under different moisture conditions, a split plots experiment was conducted based on a randomized complete block design with three replicas, in the year 2014-2017. Treatments were irrigation in three levels including included at three levels (no irrigation, water deficit (supplemental) and normal) and super absorbents including 0, 50,100, and 150 Kg/h.There was a significant difference between irrigation treatments in terms of the effect on all studied traits except for the leaf area index, while the difference between superabsorbent levels was significant on all studied traits. Results showed that no irrigation treatment decreased the number of leaves per stem, leaf weight, and leaf area index and by 21.81, 21.18 and 10.86 percent compared with normal irrigation, also the application of 150 kg ha-1 superabsorbent increased the amount of these traits by 22.09 and 18.96 and 17.09 percent respectively. In the present study, water deficit (supplemental) treatment with the application of 150 kg/ha had the highest plant height (73.05 cm), dry forage yield (0.31kg/m2), and crude percent protein (14.58%). The results also showed that the difference between the treatment applications of 100 and 150 kg / ha of superabsorbent in rainfed conditions with control treatment (not using superabsorbent) in normal irrigation conditions was not significant in terms of dry forage yield. Therefore, the use of superabsorbent in different humidity conditions can be a suitable solution to increase the quantitative and qualitative of forage yield in alfalfa

To evaluate the adaptability and stability of root yield and white sugar yield in sugar beet genotypes, 47 sugar beet genotypes were evaluated in a randomized complete block design with six replications in four regions of Hamedan, Kermanshah, Shiraz, and Mashhad at 2019 crop year. In order to analyze the pattern of genotype by environment interaction, additive main effects and multiplicative interactions (AMMI) model and GGE biplot graphical method was used. The results of additive main effects (analysis of variance) and multiplicative interactions (principal component analysis) showed that the effect of genotype, environment, and genotype in environment interaction on root yield and white sugar yield were significant (p-value < 1%). The results showed that the first two components explained 89.10 and 95.48% of the variance of the interaction for root yield and white sugar yield, respectively. The biplot diagram of the first main interaction component and mean of root yield and white sugar yield for genotypes and environments showed that genotypes 28, 26, and 43 with higher than average total yields and lowest values for the first interaction component Known as stable genotypes, Based on the results of the two-dimensional diagram related to the first two main components of the interaction of genotype in the environment, Genotype No. 24 had the highest specific adaptability for Hamedan, Shiraz and Mashhad locations in term of root yield and white sugar yield. While genotype 46 in terms of root yield and genotype 36 in terms of white sugar yield showed good specific adaptability to the Kermanshah environment. Also, genotype No. 37 in terms of root yield and genotype 44 in terms of white sugar yield had higher general compatibility than other genotypes. Compared to foreign control cultivars, hybrids 28, 26, and 43 had suitable root yield, white sugar yield, and stability, and their selection is recommended for future breeding programs.

Salt stress is one of the most important abiotic stresses, which decreases crop yields and limits the land use. Three hectares of agricultural land are being destroyed in each minute by salinity In Iran, salinity is one of the most important factors which limit the agriculture. Salt stress studies were very important in the most sugar beet planting regions of Iran based on sugar beet experts and farmers opinions producing sugar beet salt tolerant varieties, improving planting methods, irrigation and fertilizer use are the most Sugar Beet Seed Institute (SBSI) strategies for optimizing the production in saline lands.

In order to investigate the effect of salinity stress on quantitative and qualitative characteristics of sugar beet genotypes in normal and salinity stress conditions an experiment was conducted in a completely randomized block design with three replications in Miandoab Agricultural and Natural Resources Research Station at 2016-17 Crop seasons. In this research, 16 sugar beet genotypes were tested under two normal conditions and saline conditions with salinity of 12.1 dS/m. In this research, root yield, sugar content, white sugar content, sugar yield, the amount of sodium, nitrogen, and potassium of root, white sugar yield percent of sugar extraction was measured.Data was analyzed by using SAS 9.2 software.

The results showed that the effect of the environment on all studied traits wasn’t significant. Differences between genotypes were significant for all traits except for white sugar content, also the interaction of genotype in environment on all traits except the white sugar content was significant. Results showed that the highest root yield, white sugar yield and sugar yield in normal and salinity conditions were allocated to genotypes 14 and 15. Based on the results of correlation analysis in both environmental conditions, white sugar yield had positively and significantly correlated with root yield, white sugar content and sugar yield. Based on the results of stepwise regression analysis, root yield, percent of sugar extraction and sugar yield in normal conditions with justified 93 percent of white sugar yield variation and in salt stress condition with justified 84 percent of the total white sugar yield variation were identified as the most effective traits on white sugar yield.

In the present study, there was no significant difference between two years in term of studied traits. It can be concluded that climate conditions in the two years studied did not have a significant difference in terms of effect on the studied traits. In the present study, there wasn’t significant difference between normal and salinity stress conditions in terms of all traits and salinity Therefore, it can be said that sugar beet genotypes were resistant to salinity. In both environmental conditions, genotypes number 14 and 15 had the highest root yield, white sugar yield and sugar yield, Selection of these genotypes is recommended for future breeding programs. In both normal and salinity conditions root yield, percent of sugar extraction and sugar yield recommended as Criteria for selecting high-yielding genotypes.

IntroductionGrain growth in wheat depends on current photosynthesis and stem water-soluble carbohydrates (WSC). In semiarid regions with terminal drought, grain filling in wheat crops may depend more on stem WSC content than on current assimilates. Reduction in grain yield under drought is attributed to shorter duration of linear grain growth despite increased contribution of stem reserves to grain yield. The amount of stem reserves is measured either by changes in stem dry weight (indirect method) or by stem WSC content (direct method). Genotypic variation in the rate and duration of linear grain growth and in percent contribution of stem reserves to grain yield has a little evaluated in wheat. Materials and methods The objectives of this study were grouping of spring wheat recombinant inbred lines in term of phenological and partitioning of assimilates in normal and water deficit conditions. Plant materials used in this experiment, include 148 bread wheat recombinant inbred lines derived from the cross between Yecora Rojo and genotype No. 49. Lines were produced at Riverside University and through of Center of Excellence Molecular Breeding, University of Tabriz was placed at the disposal of this research. Studied lines with parents were planted on research farms of Mahabad University and Miyandoab Agricultural Research Center in 2014-2015. In both experiments used alpha lattice design with two replications under normal and water defect conditions. Irrigation in stress and non-stress treatments was done after 90 mm evaporation from class a pan, depending on the temperature and evapotranspiration until heading stage. In water deficit stress treatment, irrigation was stopped at heading stage. Measuring of these traits were done sampling before and anthesis stage. Results and discussionAccording to the combined analysis there was a significant difference between two normal and water deficit conditions in terms of days to head, remobilization, grain yield and remobilization portion in grain yield. Also genotypes had significant difference for all traits. Also, grain yield had a positive and significant correlation with days to heading, stem partitioning, spike partitioning and the remobilization rate in both conditions. Based on the results of cluster analysis, genotypes were classified into 4 groups in both conditions. In both conditions, genotypes 7, 17, 27, 32, 40, 50, 58, 62, 67, 69, 83, 106, 107 and 138 were classified in cluster number four which had the highest values of phonological traits, photosynthetic allocation and grain yield. These genotypes were identified as suitable genotypes for breeding programs to create high yielding cultivars. In factor analysis based on principle component analysis, in both conditions three factors were recognized that explained 77.85 and 68.76 percent of total variation of data under normal conditions and water deficit conditions respectively. ConclusionsIn this study, grain yield had a positive and significant correlation with days to heading, stem partitioning, spike partitioning and the remobilization rate in both conditions therefore genotypes with high values of these traits, had a high grain yield potential. Genotypes of 7, 17, 27, 32, 40, 50, 58, 62, 67, 69, 83, 106, 107 and 138 were identified as suitable genotypes for breeding programs to create high yielding cultivars.

To Investigate the effect of super-adsorbent and irrigation levels on quantitative and qualitative characteristics Rastar cultivar of sugar beet a split plots experiment was conducted based on randomized complete block design with three replicas was conducted at the Agricultural University of Mahabad in 2017. Irrigation in three levels (Irrigation after 60, 120 and 180 mm evaporation from class A pan) is assigned to main plats and super-absorbents A200 in four levels (0, 50, 150 and 200 kg.ha-1) to the subplots. The simple effects of irrigation regime and superabsorbent on all traits, except for the coefficient of sugar extraction, was significant. The interaction of treatments were significant on the dry weight of shoot, sugar content, root yield, and sugar yield and white sugar yield. In this research, the highest leaf area index, root length, and leaf relative water content and the lowest amount of white sugar content belonged to irrigation after 60 mm evaporation. Application of 50 and 150 kg.ha-1 super-absorbent highly increased leaf area index, root length, and leaf relative water content while it decrease the percent of white sugar content. The highest shoot dry weight (3.97 t.ha-1), root yield (69.35 t.ha-1), sugar yield (10.51 t.ha-1) and white sugar yield (9.39 t.ha-1) and the lowest percentage of sugar (15.20%) caused by irrigation interval after 60 mm evaporation and using 200 kg.ha-1 super-absorbent. Interactions due to irrigation and use of super-absorbent showed that there was the non-significant difference between irrigation regime after 60 mm in control treatment (not applicable super-absorbent) with the application of 50, 150 and 200 kg.ha-1super-adsorbent in irrigation regime after 120 mm and application of 150 and 200 kg.ha-1super-absorbent in irrigation regime after 180 mm. Thus, using of 150 kg.ha-1 super-absorbent in irrigation regime after 180 mm evaporation can have similar white sugar yield as it was under irrigation regime after 60 mm in control treatment (not applicable super-absorbent) while saving about 8650 m3 per hectare by using this treatment.

In order to mapping additive and epistatic QTL and their interaction with environment for traits related to spike characteristics using a RILs population of wheat, comprising 148 recombinant inbred lines derived from a cross between two winter wheat cultivars, ‘YecoraRojo’ and ‘No. 49’, was evaluated in two locations in Iran (Miandoab and Mahabad) during 2014-2016. A linkage map including 177 microsatellite and 51 retrotransposon markers was used in this study. Quantitative trait loci (QTL) were determined using QTL Network 2.0 software based on the CIM and mixed-linear method. In the present study, the highest broad (58.31%) and narrow-sense (29.15%) heritability was measured for spikelet number per spike and the lowest broad (51.28%) and narrow-sense (25.64%) heritability was detected for spike length. Results of QTL analysis showed that in normal condition, one QTL (R2A= 1.54%), one QTL×E (R2AE= 4.40%), 2 additive × additive epistatic effects (R2AA= 0.44- 0.4%) and 6 QTL × QTL×E interactions (R2AAE= 8.24-9.7%) were significant. In water deficit condition, 1 additive × additive interactions (R2AA= 4%) and 3 QTL × QTL × E interactions (R2AAE= 6.98%) were identified. In average of two conditions, two QTL (R2A= 0.78%), 1 QTL×E (R2AE= 5.15%), 10 additive × additive epistatic effects (R2AA= 0.02-7.9%) and 14 QTL × QTL × E interactions (R2AAE= 0.86-8.92%), were significant which can be due to the high number of QTLs with low effects and also environmental effects.

In bread wheat (Triticum aestivum L.), crop height is an important determinant of agronomic performance. To map QTLs with additive effects and additive×additive epistatic interactions, 148 recombinant inbred lines and their parents, (‘YecoraRojo’ and Iranian landrace (No. #49)) were evaluated under normal and water deficit conditions. The experiments were carried out on research farms of Mahabad University and Miyandoab Agricultural Research Center in 2014-2015. The experimental design was an alpha lattice design with two replications. Quantitative trait loci (QTL) for the studied traits were carried out for additive effects and additive×additive epistatic interactions using the QTL Network 2.0 software based on the mixed-linear model. A number of 177 microsatellite and 51 retrotransposon markers were used to construct the linkage map. In the present study stem length, plant weight, peduncle length, and peduncle weight were measured. Results showed that under both normal and water deficit conditions, both positive and negative transgressive segregations were significant, also the highest and lowest broad and narrow sense heritability were estimated for stem length (73.69 and 36.74 percent) and peduncle length (40.51 and 20.25 percent), respectably. The results showed that under the normal condition, seven QTLs (R2A=5 to 11%), and eight additive×additive epistatic interactions (R2AA=1.66 to 10.92%) were significant. Under the water deficit condition seven QTLs (R2A=4.27 to 9%), and five additive×additive epistatic interactions (R2AA=3.8 to 14.58%) were significant. Five QTLs from the 14 QTLs identified in this study were located in chromosome 5A, indicating the importance of this chromosome in controlling the plant architecture characteristics and possibly using it for marker-assisted selection and genetic engineering.

Grain growth in wheat depends on current photosynthesis and stem water-soluble carbohydrates (WSC). In semiarid regions with terminal drought, grain filling in wheat crops may depend more on stem WSC content than on current assimilates. Reduction in grain yield under drought is attributed to shorter duration of linear grain growth despite increased contribution of stem reserves to grain yield. The amount of stem reserves is measured either by changes in stem dry weight (indirect method) or by stem WSC content (direct method). Genotypic variation in the rate and duration of linear grain growth and in percent contribution of stem reserves to grain yield has a little evaluated in wheat. The objectives of this study were estimated heritability and the relationship among phenological characteristics and allocation of photosynthetic materials yield in recombinant inbred lines of spring wheat under normal and terminal water defect. Plant materials used in this experiment, include 148 bread wheat recombinant inbred lines derived from the cross between Yecora Rojo and genotype No. 49. Lines were produced at Riverside University and through of Center of Excellence Molecular Breeding, University of Tabriz was placed at the disposal of this research. Studied lines with parents were planted on research farms of Mahabad University and Miyandoab Agricultural Research Center in 2014-2015. In both experiments used alpha lattice design with two replications under normal and water defect conditions. Irrigation in stress and non-stress treatments was done after 90 mm evaporation from class A pan, depending on the temperature and evapotranspiration until heading stage. In water deficit stress treatment, irrigation was stopped at heading stage. Measuring of these traits were done sampling before and anthesis stage. Under both conditions positive and negative transgressive segregation were observed for grain yield, day to flowering, day to physiologic mature and grain filling period, allocation of photosynthetic material to stems, remobilization and remobilization portion in grain yield. Under normal moisture conditions, remobilization and in water difict conditions, grain yield had the highest phenotypic and genotypic variation. In normal condition the highest and the least broad and narrow sense heritability was estimated for the allocation of photosynthetic material to stems by 84.81 and 42.30% and allocation of photosynthetic material to leaf by 30.86 and 15.73% respectively. in water defect condition, days to headage showed the highest broad and narrow sense heritability by 90.86 and 45.43% and allocation of photosynthetic material to leaf by 52.38 and 26.19% showed the lowest amount The highest genetic gain in both conditions was related to grain yield, day to flowering, day to physiological mature, grain filling period, of allocation photosynthetic material to stem and photosynthesis remobilization. Furthermore In both conditions, grain yield showed a positive and significant correlation with days to heading, allocation of photosynthetic material to stems and spike and remobilization rate, and showed a negative and significant correlation with ratio of allocation photosynthetic material to spike and stem. Based on regression and path analysis treats in normal condition allocation of photosynthetic material to stems, remobilization portion in grain yield, remobilization rate and allocation of photosynthetic material to stems and spike and remobilization rate(R2= 0.87) and in water defict condition, remobilization portion in grain yield, remobilization rate (R2= 0.86) had a significant effect on the grain yield variations. In this study, the remobilization rate had a direct and positive effect and remobilization portion in grain yield on grain yield had a direct and negative effect on the grain yield and identified as most effective traits. Therefore, it can be concluded that genotypes that have the ability to remobilization higher photosynthetic materials can have higher grain yield under both normal and water stress conditions and selecting such genotypes will help us achieve high-yielding genotypes.