Residual influence of organic materials, crop residues, and biofertilizers on performance of succeeding mung bean in an organic rice-based cropping system

The present investigation was undertaken to assess the residual influence of organic materials and biofertilizers applied to rice and wheat on yield, nutrient status, and economics of succeeding mung bean in an organic cropping system. The field experiments were carried out on the research farm of IARI, New Delhi during crop cycles of 2006 to 2007 and 2007 to 2008 to study the effects of residual organic manures, crop residues, and biofertilizers applied to rice and wheat on the performance of succeeding mung bean. The experiment was laid out in a randomized block design with three replications. Treatments consisted of six combinations of different residual organic materials, and biofertilizers included residual farmyard manure (FYM) and vermicompost (VC) applied on nitrogen basis at 60 kg ha-1 to each rice and wheat crops, FYM + wheat and rice residues at 6 t ha-1 and mung bean residue at 3 t ha-1 in succeeding crops (CR), VC + CR, FYM + CR + biofertilizers (B), VC + CR + B, and control (no fertilizer applied). For biofertilizers, cellulolytic culture, phosphate-solubilizing bacteria and Rhizobium applied in mung bean. Results Incorporation of crop residue significantly increased the grain yield of mung bean over residual of FYM and VC by 25.5% and 26.5%, respectively. The combinations of FYM + CR + B and VC + RR + B resulted in the highest increase growth and yield attributing characters of mung bean and increased grain yield of mung bean over the control by 47% and net return by 27%. Conclusions The present study thus indicate that a combination of FYM + CR + B and VC + CR + B were economical for the nutrient need of mung bean in organic farming of rice-based cropping system

THE EFFECT OF COMBINATIONS OF ORGANIC MATERIALS AND BIOFERTILISERS ON PRODUCTIVITY, GRAIN QUALITY, NUTRIENT UPTAKE AND ECONOMICS IN ORGANIC FARMING OF WHEAT

Organic farming often has to deal with a scarcity of readily available nutrients, and this is in contrast to chemical farming which relies on soluble fertilisers. The present study was conducted to ascertain the effect of different combinations of organic manures, rice residues and biofertilisers in organic farming of wheat. The field experiments were carried out on the research farm of Indian Agricultural Research Institute (IARI), New Delhi in 2006-07 and 2007-08. Treatments consisted of a control (no fertiliser) and six fertiliser treatments, namely, farmyard manure (FYM), vermicompost (VC), FYM + rice residue (RR), VC + RR, FYM + RR + biofertilisers (B), and VC + RR + B. FYM and VC were applied on nitrogen basis (60 kg ha-1), whereas RR was applied at 6 t ha-1. For biofertilisers, Azotobacter, cellulolytic culture (CC) and phosphate solubilising bacteria (PSB) were used. The combinations of FYM + RR + B and VC + RR + B resulted in the highest increased growth and yield attributing characters of wheat and increased grain yield of wheat over the control by 81% and 89% (Year 1 & Year 2), and net return by 82% and 73%. These combinations were significantly superior to all other combinations for all the growth and yield parameters, yield, net profit and grain quality of wheat. The results of this study show that VC + RR + B was the most productive treatment, while FYM + RR + B was the most economical treatment with respect to increasing net profit. This was because of the higher price of vermicompost compared with FYM. Both of these combinations resulted in improved grain quality and nutrient uptake by grain. The present study thus indicates that a combination of FYM + RR + biofertilisers or VC + RR + biofertilisers hold promise for organic wheat farming

Physiological characteristics and vase life responses of rose cut flowers (Rosa hybrida L. cv. ‘Royal Baccara’) to benzyl adenine and 1- metylcylcopropene

+prolonging vase life and decreasing post-harvest losses are considered a basic strategy towards sustainable development of agriculture, and the application of growth regulators, e.g. benzyl adenine(BA) and 1-metylcylcopropane(1-MCP), is one of the practical methods  for them. The effects of benzyl adenine(BA) and 1-metylcylcopropene(1-MCP) on some biochemical characteristics and vase life of rose cv. ‘Royal Baccara’ (Rosa hybrida L. cv. ‘Royal Baccara’), were explored in a factorial experiment based on a randomized complete block design with three replications in 2017. The factors included BA at three levels of 0 (control), 75 and 150 ppm and 1-MCP in three levels of 0 (control), 1 and 2 µl/L-1. The results showed that the maximum soluble protein content was observed in 150 (ppm) BA+ 2 (µl.L-1) 1-MCP treatments on the second, fourth, sixth, and eighth days. The results of this research revealed that BA at the rates of 75 and 150 ppm and 1-MCP at the rates of 1 and 2 (µl.L-1) enhanced soluble protein content by 10.49, 13.37, 15.18, and 18.18 percent as compared to the control, respectively. The results showed that the maximum proline content was related to the control and the minimum content was observed in the plants treated with 150 (ppm) BA+ 2 (µl.L-1) 1-MCP. The endoproteases enzyme content was slightly decreased on the eighth day, indicating the efficacy of BA and 1-MCP in inhibiting the senescence process and prolonging vase life of rose flowers. The results showed that the application of 1 or 2 μl.L-1 1-MCP and 150 mg L-1 BA can improve the vase life of cut rose

Comparison Study on Casein Phosphopeptide-Amorphous Calcium Phosphate Paste and Fluoride Gel on Remineralization of Demineralized Enamel Lesions

Objective: Tooth surface undergoes continuous remineralization and demineralization. The aim of this study was to compare the effect of Caseinphosphopeptide-amorphous calcium phosphate (CPP- ACP) paste and Fluoride gel on the microhardness of demineralized enamel lesions.Methods: Frothy eight specimens of premolar teeth were chosen and randomly divided to 4 groups of 12. After the initial measurement of micro-hardness the specimens were immersed in demineralizing solution for 4 day and then the measurements were recorded again. Two groups (GL and G3) were treated with CPP-ACP and Fluoride gel respectively according to manufacturer’s instruction. Two other groups (G2 and G4) were treated with CPP-ACP and fluoride gel every week for three months. After the treatments all specimens were taken into PH-cycling and the micro- hardness for each one were measured again. For data analysis, the Repeated Measures ANOVA test and the LSD tests were performed. In each group the percentage of micro-hardness recovery was measured.Results: Repeated Measures ANOVA and LED Test showed that the mean value of hardness was significantly decreased after demineralization in all groups (p=0.01). There was no significant difference in mean hardness value in groups (GL, G3) after treatment (p=0.1, p=0.12) In groups (G2, G4) the mean hardness value were significantly increased (p<0.0001, p=0.1). It is noticeable that the CPP-ACP was significantly more efficient than the fluoride gel.Conclusion: CPP-APC paste and fluoride gel both increase the micro-hardness of enamel when administrated for long time and repeated application

Application of Group Method of Data Handling and New Optimization Algorithms for Predicting Sediment Transport Rate under Vegetation Cover

Planting vegetation is one of the practical solutions for reducing sediment transfer rates. Increasing vegetation cover decreases environmental pollution and sediment transport rate (STR). Since sediments and vegetation interact complexly, predicting sediment transport rates is challenging. This study aims to predict sediment transport rate under vegetation cover using new and optimized versions of the group method of data handling (GMDH). Additionally, this study introduces a new ensemble model for predicting sediment transport rates. Model inputs include wave height, wave velocity, density cover, wave force, D50, the height of vegetation cover, and cover stem diameter. A standalone GMDH model and optimized GMDH models, including GMDH honey badger algorithm (HBA) GMDH rat swarm algorithm (RSOA)vGMDH sine cosine algorithm (SCA), and GMDH particle swarm optimization (GMDH-PSO), were used to predict sediment transport rates. As the next step, the outputs of standalone and optimized GMDH were used to construct an ensemble model. The MAE of the ensemble model was 0.145 m3/s, while the MAEs of GMDH-HBA, GMDH-RSOA, GMDH-SCA, GMDH-PSOA, and GMDH in the testing level were 0.176 m3/s, 0.312 m3/s, 0.367 m3/s, 0.498 m3/s, and 0.612 m3/s, respectively. The Nash Sutcliffe coefficient (NSE) of ensemble model, GMDH-HBA, GMDH-RSOA, GMDH-SCA, GMDH-PSOA, and GHMDH were 0.95 0.93, 0.89, 0.86, 0.82, and 0.76, respectively. Additionally, this study demonstrated that vegetation cover decreased sediment transport rate by 90 percent. The results indicated that the ensemble and GMDH-HBA models could accurately predict sediment transport rates. Based on the results of this study, sediment transport rate can be monitored using the IMM and GMDH-HBA. These results are useful for managing and planning water resources in large basins.Comment: 65 pages, 10 figures, 5 table

Evaluation of Electrical Conductivity, Chlorophyll and Seed ‎Yield of Wheat under Water Stress with Zeolite Application

Electrical conductivity of wheat cell sap and chlorophyll concentration of its leaves under drought stress and application of zeolite were evaluated in a split plot experiment, by using a RCBD with three at Arak Payam-Noor University in 2010. Treatments were four levels of water stress (I0= control irrigation, I1= irrigation at 85% of I0, I2= irrigation at 70% of I0, I3= irrigation at 55% of I0) assigned to the main plots and four levels of zeolite applications (Z0= without zeolite application, Z1= 3 t.ha-1, Z2= 6 t.ha-1, Z3= 9 t. ha-1) to the sub plots. Sub plots consisted of 4 rows of 5 m long spaced 50 cm apart and 20 plants per meter on the rows. In this study traits like peduncle length, awn length, number of spike per m-2, grain yield, electrical conductivity by using water with 50and 60oC were assessed. Results indicated that intraction effect of water stress and zeolit application on number of spike per m2, seed yield, and electrical conductivity at 50and 60oC water were significant. Mean comparisons of intraction effects showed that electrical conductivity of water with 50 and 60 oC (447 and 476 respectively) resulted in the least detrimental effect on cell membrane. Results also revealed that electrical conductivity at control irrigation (554 µs.cm-1) and application of 9 t.ha-1 of zeolit produced highest seed yield (4901 kg.ha-1) at wheat

Mixed Cropping of Legumes and Maize by the Use of Urea

To study the effect of nitrogenous fertilizers and mixed cropping of legumes and maize on its grain yield and yield component of corn in Arak, an experiment was carried at the Agricultural Research Center of Markazi Province in 2013. A factorial experiment based on randomized complete block design with three replications was performed. Treatments were four levels of urea (N0= control, N1= 75 kg.ha-1, N2= 150 kg.ha-1, N3= 225 kg.ha-1) and mixed cropping with four levels (S1= planting corn, S2= planting corn + chickpea, S3= planting corn + cowpea, S4= planting corn + mung bean). Plot consisted of 4 rows, 6 m long with 60 cm between rows space and 20 cm between plants on the rows, and S.C 704 corn hybrid was used. In this study characteristics such as: plant height, number of green leaf, grain yield, number of row per ear, number of grain per ear row, nitrogen use efficiency, biomasses of legumes, nitrogen percentage and 1000 grain weight were assessed. Results indicated that the effect of different levels of urea on plant height, number of green leaf, grain yield, number of grain per row, nitrogen use efficiency, legumes biomass and nitrogen percentage were significant. Effect of mixed cropping on characteristics like grain yield, nitrogen use efficiency, biomasses of legumes nitrogen percentage was also significant. Highest and lowest grain yield (7.37 and 5.47 t.ha-1) were obtained with the use of 225 and 75 kg.ha-1 urea, respectively. The highest and lowest grain yield (7.30 and 6.01 t.ha-1) belonged to sole cropping at corn and mixed cropping of corn + mung bean, respectively