In order to investigate the possibility of quinoa producing in Garmsar, Iran, a factorial experiment conducted in randomized complete block design with three replications in 2018-2019 growing season at Garmsar Agricultural Research Station. The factors were planting date at three levels (March 6th, April 1st and April 6th) and the three genotypes of quinoa (Q26, Q29 and Titicaca). Results showed that the effect of planting date was significant for all studied traits except the harvest index. Also, all studied traits were significantly different in all genotypes. Titicaca planted on March 6th had the highest YIELD (2276 kg.ha-1).The grain YIELD and YIELD components decreased with the delaying the planting date. Compared to early plantings, Latest date, April 6th, led to reduction of all traits, especially grain YIELD (about 50%). The results of simple phenotypic correlation between the studied traits showed that grain YIELD per hectare had the highest correlation with plant YIELD (0.877) and then with leaf area index (0.832), panicle weight (0.815) and number of branches per plant (0.745) that was significant at the 1% probability level.

Water Water deficit especially after heading is one of the most effective factors of wheat YIELD loss in Iran and across the world and identifying the physiological traits related to plant resilience is of great importance in screening for tolerant varieties. The objective of this study was to evaluate the variation in stem reserves accumulation capacity and its relationship with remobilization in some wheat cultivars. 22 wheat cultivars were cultivated in a split plot design with three replications, full irrigation and 40% of field capacity being main plots. The amount of accumulation and remobilization was estimated by measuring internodes weight and stem soluble carbohydrates content (WSC). Significant genotypic variation among cultivars was observed under both normal and drought conditions. Maximum accumulation was found in lower internodes followed by peduncle and penultimate using dry weight measurement method. In WSC measurement method, however, maximum accumulation was observed in penultimate followed by lower internodes and peduncle. Cultivars ranking based on accumulation was also different in two methods. Drought stress caused decline in internodes weight, WSC and YIELD and remobilization efficiency. The SPECIFIC stem weight had the highest correlation with remobilization. Significant correlation was found between grain YIELD and remobilization, SPECIFIC stem weight and WSC.

Identifying the constraining factors of production and YIELD gap is very important. Therefore; this research was performed to identify the production constraining factors of local rice cultivars. All management practices from nursery preparation to harvesting stages for 100 paddy fields of local rice cultivars were recorded through field studies, in Sari, from 2015-2016. In the CPA, the actual and calculated potential YIELD were 4495 and 5703 kg/ha, respectively and the gap was 1221 kg/ha. The YIELD gap caused by number of top-dressing variables was 324 kg/ha, equal to 27% of the total YIELD gap. The YIELD gap related to previous year of legumes cultivation was 218 kg ha-1, equal to 18% of the total YIELD variation. Among the 10 variables entered in the CPA model, the effects of top-dress fertilizer application and its application frequency and foliar application were remarkable, which could compensate a significant part of the YIELD gap (444 kg/ha, 37% of total) in the farmers’ fields by managing these variables. According to boundary line analysis (BLA) finding, actual YIELD mean on the basis of optimal limit related to 12 variables under study was 5369 kg/ha, with 881 kg/ha YIELD gap . Mean relative YIELD and relative YIELD gap for 12 variables (transplanting date, seedling age, number of seedlings per hill, planting density, nitrogen and phosphorous per hectare, nitrogen before transplanting, harvesting date, lodging problem, pest problem, diseases problem and weeds problem) were 83.64 and 16.35 kg/ha, respectively. Based on the finding, it can be stated that the model precision is appropriate and can be applied for both estimation of the quantity of YIELD gap and determining the portion of each restricting YIELD variables.

Estimates of combining ability are useful in determining the value of watermelon (Citrullus lanatus (Thunb.) Matsum. & Nakai) lines in producing new hybrids with high YIELD and better quality. This research was conducted to estimate the general combining ability (GCA), SPECIFIC combining ability (SCA), and heterosis for five inbred lines chosen for watermelon breeding at the University of Guilan, Iran. Analysis of variance indicated significant differences among hybrids for fruit weight and the number of lateral branches per plant. The GCA and SCA effects were significant for fruit weight and the number of lateral branches, which indicates the existence of both additive and dominance effects in controlling these two traits. The low narrow sense heritability indicated the smaller impact of additive gene action on fruit weight and the number of lateral branches in watermelon. However, broad sense heritability was high for fruit weight (0.69) and the number of lateral branches (8.88). The large gap between the broad sense heritability and narrow sense heritability indicated the importance of dominance effects in controlling the fruit weight and the number of lateral branches compared to additive effects. These results justify the development of hybrid varieties to exploit the dominance genetic effects in watermelon. The highest fruit weight and the number of lateral branches belonged to the S × Red cross. The highest SCA for the fruit weight was associated with the cross An × S. The cross S × Red had the highest SCA for the number of lateral branches. The high-parent heterosis was also higher in the cross S × Red for these traits. In conclusion, the hybrid S × Red may be proposed for the production of a hybrid variety in watermelon. However, crossing among various genotypes to produce new inbred lines seems necessary for the hybrid breeding program of watermelons in Iran.

Introduction: Disorders in the expression of any gene effective in spermatogenic pathway is known as a probable cause of non-obstructive azoospermia and male infertility. The way responsible genes for sperm motility are expressed can considerably affect male fertility. Recent studies show that TSGA10 gene is effective in the natural process of spermatogenesis as protein produced by this gene in mouse results in the production of the main structure of sperm tail. Up to now, no comprehensive studies have been done on the way this gene is expressed in the infertile's testical tissue.Materials & Methods: In this study, TSGA10 mRNA expression in testicular samples of 84 patients with non-obstructive azoospermia was investigated by semi-quantitative nested RT-PCR in Avesina Infertility Clinic during 2005-6. Moreover, expression levels of TSGA10 during spermatogenesis were evaluated using Johnsen's method for histopathologic scoring of the samples. For statistical analysis, SPSS software (Version 11.2) was used. The difference between gene expressions was done based on quantitative variables by the use of t-test and covariance analysis and α<0.05 was regarded as a statistically significant value.Results: Testicular TSGA10 mRNA expression was observed in 31 patients, (36.9%), with non-obstructive azoospermia which it had a statistically significant correlation with spermatogenesis progress (p<000.0). Histopathologically, the gene had been expressed in patients with higher Johnsen's score of spermatogenesis while a lack of expression was seen in all of those with Johnsen's score less than 4.5.Conclusion: The findings indicate that TSGA10 is expressed in human testis and it is restricted to germ cells. It seems that lack of TSGA10 expression may have negative effects on spermatogenesis and on male fertility. On the other hand, determination of the timing of gene expression in a certain level of spermatogenesis may also be used to determine levels of spermatogenesis in azoospermic patients alongside histopathological findings.

To investigate the response of corn to combined application of chemical fertilizers with rhizobacteria plant growth promoting, an experiment was conducted in 2017 at Research farm of Agricultural and Natural Resources Campus of Tehran University, Karaj, Iran, in a randomized complete block design with four replications. Four nutritional treatments including T1 (Control treatment without applying fertilizer), T2 (Just PGPRs), T3 (Use chemical fertilizers based on soil test) and T4 (T3 + PGPRs) were considered. According to the results, the highest total dry weight (3.9 kg/m2), crop growth rate (79.8 g.m-2.day-1), net assimilation rate (15.3 g.m-2.day-1) and grain YIELD (18.2 ton.ha-1) were observed in T4 treatment and T2 treatment produced the highest  leaf area index (5.3), leaf area duration (205.2) and SPECIFIC leaf weight (78.5 g.m-2) . Also, the lowest value of all traits was observed in in T1 (control) treatment. The results showed that the presence of rhizobacteria plant growth promotioninduction in the corn nutrition program increased the growth and growth indices of the plant. Combined application of chemical fertilizers with rhizobacteria plant growth promoting resulted in the highest growth and final grain YIELD of corn.

In this research, 207 vertical electrical sounding (VES), with schlumberger configureation in Shooru aquifer, located at 80 km from Zahedan have done and after the data collection the VES were analyzed and interpreted by a Russian geoelectric software (IPI7.61). Using the investigated geoelectrical model of aquifer, the isodepth, isoresistivity and piesometric maps were drawn. Considering the piesometric map the aquifer boundary, aquifer thickness, bedrock maps were determined; and the flow direction and the aquifer outlet have been determined; the aquifer bedrock generally consists of Slate. In some part of aquifer Shale rocks appeared as small hummocky. According to the geoelectrical two parts; divided model the aquifer: a) the eastern part with an average thickness of 30 meter, and b) the western part with an average thickness of 40 meter. Using the similarity of fluid flow in porous media and electrical current in porous material and using the geoelectrical parameters of aquifer the hydrogeological parameters such as porosity, SPECIFIC YIELD, storage volume and volume of recoverable ground water were determined. The porosity and SPECIFIC YIELD of aquifer were estimated as 0.37 and 0.18 respectively. The recoverable volume of water from aquifer was estimates as 8.55*108 cubic meters.

In recent decades, drastic land use changes in Golestan province caused to reduce a substantial amount of Hyrcanian forest. To investigate the changes, land cover maps produced using Landsat satellite imagery classification of sensors TM from 1984, 2012 and 2016 respectively used as input data in Land Change Modeler (LCM) to predict land cover changes in 2030. In order to assess the accuracy of modeling, statistics of relative performance characteristic (ROC), ratio Hits/False Alarms and figure of merit was used. In continue to investigate the role of land use changes in water YIELD as one of ecosystem services was discussed. The results show the accuracy of artificial neural network with the ROC equal to 0. 949, the ratio Hits/False Alarms equal to 57 percent and the figure of merit is equal to 11 percent. Land use change modeling results showed that from 1984 to 2012, The most prominent changes were related to reduction of forest cover. This process modeling using artificial neural network showed, from 2016 to 2030 forest cover will be reduced about 30361 hectares. The results of water YIELD study showed that runoff in the area, particularly in the East and North East area has increased. This increase in the amount of runoff occurred as a result of land use change on forest ecosystems to agriculture. Results of this study improve our understanding of hydrological consequences of land-use changes, and provide needed knowledge for effectively developing and managing land-use for sustainability and productivity in the Gorgan-rood watershed.