Maintaining Seed Quality of Maize and Wheat through Dry Chain Technology in Pakistan

Seed is inevitably deteriorated during storage and higher seed moisture content is the primary cause of this decline in seed quality. Dry Chain is a valuable tool, by using moisture proof hermetic containers to preserve seed quality throughout supply chain. This study evaluated and compared the performance of wheat and maize seed in different hermetic storage packaging (Super bag, Anaaji bag and drum) with conventionally used woven polypropylene bags after six months storage in ambient conditions. Seed moisture content was increased up to 11.53 and 13.55% in wheat and maize respectively when packed in polypropylene bags while it remained low (approximately 10 and 11.4% in wheat and maize respectively) when packed in hermetically sealed bags and drum. Germination was maintained in both cereal seeds stored in hermetically sealed Super bag, anaaji bag and drum while it reduced in polypropylene bags as compared to initial seed quality. Seed stored in polypropylene bag deteriorated quickly, which resulted in loss of seed vigour as indicated by higher malondialdehyde contents and electrical conductivity of seed leachates. It can be concluded that maintenance of seed dryness with hermetic storage is useful in preservation of seed quality and related attributes under high relative humidity environment

A questionnaire based survey on knowledge, attitude and practices of medical practitioners regarding the prescribing of medications during pregnancy

Background: Prescribing during pregnancy requires careful estimation of risk/benefit ratio for the mother and her baby. Both, underestimation and overestimation can produce undesirable maternal and fetal outcomes hence the present study was undertaken to assess the knowledge, attitude and practices (KAP) of medical practitioners related to the prescribing of medications during pregnancy.Methods: A preformed structured questionnaire was administered to 41 medical practitioners. Multiple choice questions (MCQs) and yes/no type questions were used to assess their knowledge. Likert type questions studied their attitude and practices. Their perception of teratogenic risk of medications was evaluated using a visual analogue scale. The data so obtained was analyzed using descriptive statistics.Results: Completed questionnaires were returned by 76% of the survey participants. Among whom only 24% felt highly confident while others were less confident or unsure regarding their prescribing ability during pregnancy. 90% of the respondents reported that a disease should not be untreated or undertreated due to fear of teratogenicity. 81% exhibited good knowledge of the FDA pregnancy categorization of drugs and more than 80% were aware of the teratogenic risk associated with valproic acid, lithium, isotretinoin, warfarin & thalidomide. The perceived risk of teratogenicity (mean) suggested for them was 33, 52, 52, 43 & 62 percentage respectively.Conclusions: Most respondents exhibited a healthy attitude and a fairly sound knowledge, except for their perception of risk associated with individual drugs which was much higher than what is mentioned in the literature. Educational interventions may help to increase the awareness leading to better and confident prescribing

Evaluation of anti-parkinsonian activity of Elaeocarpus ganitrus on haloperidol induced Parkinson’s disease in mice

Background: Elaeocarpus ganitrus (Family: Elaeocarpaceae), has been used for the treatment of depression, convulsions and asthma. The existing literature is lacking in studies showing anti-parkinson effect of E. ganitrus. There is increased concern about the side-effects of conventional medicine in the treatment of Parkinson’s disease (PD). Hence E. ganitrus having anti-oxidative property may be a safer alternative.Methods: To evaluate the anti-parkinson effect of E. ganitrus, rota rod and catalepsy bar tests were used. Assessment of oxidative stress was done by measuring the malondialdehyde (MDA) and reduced glutathione (GSH) levels in the striatal region of the brain. One-way ANOVA was used to detect statistical significance, followed by post-hoc Tukey test.Results: E. ganitrus (200 and 400 mg/kg, p.o.) pretreated groups significantly increased the retention time in rota rod test (p<0.001) and significantly decreased the latency period in catalepsy bar test (p<0.001), when compared with haloperidol treated group alone. E. ganitrus (200 and 400 mg/kg, p.o.) pretreated groups showed significant anti-oxidative effect by causing a decrease in brain MDA levels (p<0.001) and a significant increase in GSH levels (p<0.001).Conclusions: Oxidative stress plays a vital role in the pathophysiology of PD. The results of this study conclusively show that E. ganitrus has anti-oxidant activity and neuroprotective activity in haloperidol experimental model of PD

Investigation of physicochemical and tribological properties of TiO2 nano-lubricant oil of different concentrations

Nano-lubricants provide enhanced tribological properties in several applications like machines and engines. The presence of nanoparticles in the lubricating oil effects its wear, friction, thermal, chemical and physical properties in many ways. This article reports effect of TiO2 nanoparticles suspended in servo system lubricating oil prepared by sonication process without adding any surfactant. Four different volume concentrations (0.2%, 0.4%, 0.6% and 0.8%) of TiO2 nanoparticles in the base lubricating oil are used for analysis. Calorific value, flash point, viscosity are the physicochemical properties of the TiO2 nano-lubricant investigated at different Volume Concentrations (VC). Wear scar diameter and coefficient of friction are the tribological properties analyzed for the prepared nano-lubricant at different VCs. Calorific value and flash point of the nano-lubricant was found to be decreasing with increasing VCs compared to base lubricant oil. Viscosity, on the other hand was almost same as the base lubricant oil for the proposed VCs. Wear scar diameter and friction coefficient was found to increase with increase in VC of TiO2 nanoparticles in the lubricant oil. It is concluded that, to obtain better results agglomeration of nanoparticles has to be avoided which can be achieved with the use of surfactant

ENVIRONMENTAL EFFECTS ON BIRTH WEIGHT IN BEETAL GOAT KIDS

Data on pedigree, breeding and performance records (N=1850) of Beetal goats maintained at the Angora Goat Farm Rakh Kharewala, District Layyah, Livestock Production Research Institute, Bahadurnagar District. Okara and Livestock Experiment Station, Allahdad (Jahanian) District Khenawal during the period from 1988 to 2000 were used. Least squares analysis revealed that year of birth, sire, flock, sex of kid and type of birth were significant (P<0.01) sources of variation for birth weight in Beetal kids. The kids born at Bahadurnagar were heavier (3.65 ± 0.13 kg) as compared to the kids born at Allahdad (3.55 ± 0.08 kg) or Rakh Kharewala (2.96 ± 0.05 kg). Birth weights for male and female kids were 3.48 ± 0.06 and 3.29 ± 0.06 kg, respectively. Single born kids were heavier (3.69 ± 0.06 kg) than twins (3.37 ± 0.06 kg) and triplets (3.08 ± 0.08 kg). There was an appreciable twining rate (47.9%) in these flocks

Multi-objective optimisation for minimum quantity lubrication assisted milling process based on hybrid response surface methodology and multi-objective genetic algorithm

© 2019 by SAGE Publications Ltd.Parametric modelling and optimisation play an important role in choosing the best or optimal cutting conditions and parameters during machining to achieve the desirable results. However, analysis of optimisation of minimum quantity lubrication–assisted milling process has not been addressed in detail. Minimum quantity lubrication method is very effective for cost reduction and promotes green machining. Hence, this article focuses on minimum quantity lubrication–assisted milling machining parameters on AISI 1045 material surface roughness and power consumption. A novel low-cost power measurement system is developed to measure the power consumption. A predictive mathematical model is developed for surface roughness and power consumption. The effects of minimum quantity lubrication and machining parameters are examined to determine the optimum conditions with minimum surface roughness and minimum power consumption. Empirical models are developed to predict surface roughness and power of machine tool effectively and accurately using response surface methodology and multi-objective optimisation genetic algorithm. Comparison of results obtained from response surface methodology and multi-objective optimisation genetic algorithm depict that both measured and predicted values have a close agreement. This model could be helpful to select the best combination of end-milling machining parameters to save power consumption and time, consequently, increasing both productivity and profitability.Peer reviewedFinal Published versio