Effect of genotypes on soyabean seed quality development under West African Rainfed conditions

Effect of genotypes on soyabean seed quality development was monitored under rainfed conditions at Abeokuta between July and November, 1997. A consistent increase in rate of normal germination and seedling emergence occurred among early harvests. Greatest germination rate was detected in seeds harvested around physiological (functional) and harvest (full) maturity stages. Seedling emergence was significantly influenced by seed harvest date in all soyabean entries. Germination and emergence increased as soyaben seed development progressed and was greatest for seeds harvested between R7 and R8 in all soyabean cultivars. Enforced desiccation to 10% moisture content promoted germination of seeds harvested around physiological maturity stages. The onset of desiccation tolerance fell between physiological and harvest maturity stages in all the six soyabean cultivars. The rapid decline in seedling emergence of artifically dried seeds at 50d after mtff as against 60d after mtff for normal laboratory gemination indicated that seedlots of initial good germination may not necessarily produce high seedling emergence under good seeding condition due to differences in genotypes. Association of seed characters such as seed size, seed weight, germinability and emergence ability is essential in soyabean breeding to facilitate selection of genotypes with good seed quality, thereby reducing elaborate storage and screening methods

Network traffic analysis for threats detection in the Internet of Things

As the prevalence of the Internet of Things (IoT) continues to increase, cyber criminals are quick to exploit the security gaps that many devices are inherently designed with. Users cannot be expected to tackle this threat alone, and many current solutions available for network monitoring are simply not accessible or can be difficult to implement for the average user, which is a gap that needs to be addressed. This article presents an effective signature-based solution to monitor, analyze, and detect potentially malicious traffic for IoT ecosystems in the typical home network environment by utilizing passive network sniffing techniques and a cloud application to monitor anomalous activity. The proposed solution focuses on two attack and propagation vectors leveraged by the infamous Mirai botnet, namely DNS and Telnet. Experimental evaluation demonstrates the proposed solution can detect 98.35 percent of malicious DNS traffic and 99.33 percent of Telnet traffic for an overall detection accuracy of 98.84 percent

IMPROVEMENT OF TOMATO SEED LONGEVITY USING SOME DRY SEED PRE-STORAGE TREATMENTS

Pre-storage treatment to retard seed deterioration could either involve application of synthetic chemicals or plant/organic products. This study was conducted to determine the efficacy of some organic dry seed treatments and inorganic chemical treatments on the viability of stored seeds of four tomato (Solanum lycopersicum) varieties. The study was a factorial experiment fixed in completely randomized design. It comprised of four tomato varieties (Roma, UC-82, 2-lobes and 3-lobes) and five dry seed treatment materials (neem leaves, scent leaves, red chili, bleaching and Apron plus powders) in three replicates. Seeds stored without any treatment were used as the control. The tomato seeds were stored for 240 days under ambient condition (average temperature 30ºC and 75% relative humidity). Half-life of the stored seeds ranged from 286 to 2105 days. Generally, organic treatment doubled the longevity when compared to the control treatment. Performance of seed treatments depended on tomato seed variety. Use of neem leaf and scent leaf powders had greater potentials to replace the commercial inorganic seed treatment materials for tomato seed preservation under the same environmental conditions.   &nbsp

Gender Differentia Among Fish Farmers Within Ilorin Metropolis, Kwara State, Nigeria

Gender differentia among fish farmers within the Ilorin metropolis, Kwara State, Nigeria was studied with the aim of evaluating the level of involvement of the different gender in fish production activities, accessing their access to credit, and the constraints faced by them. A multistage sampling technique using a structured questionnaire was adopted for this study, the sample size was 210 using a structured questionnaire. Data were analyzed using SPSS 16.0. 61.90% of respondents were male while 52.5% and 49.2% of female and male respondents respectively were in their active age group of < 30 years. Females were more involved in fish marketing (42.90%) and fish processing (48.75%). There exist a significant association (p<0.05) between gender and level of involvement in fish marketing (χ2=9.20, p<0.05), access to land (χ2=10.69, p<0.05), and fish production activities (χ2=11.83, p<0.05). Access to credit was poor. Constraints faced include poor access to credit facilities, inadequate information, high cost of feed production, and poor water quality. It is therefore recommended that access to credit facilities banks of agriculture, microfinance banks, and commercial banks should be improved on while fish farmers are also encouraged to form cooperative societies as it will improve the capacity building of farmers and ease their credit acquisition for farming activities

TWITTER AS A TOOL FOR THE MOBILISATION OF THE #BRINGBACKOURGIRLS# CAMPAIGN AMONG UNDERGRADUATES

This study examined the role twitter played in mobilising youths to join the #bringbackourgirls# campaign. It sought to examine the extent to which social media sets agenda for the society and mobilizes people to join a cause using the #bringbackourgirls# campaign as study. Survey method was employed and questionnaire was used as instrument of data collection. The population were University of Lagos students. A sample size of 500 respondents was drawn from the population out of which 473 responded effectively to the questions. The finding revealed that 90% of the respondents have a twitter account and they access them regularly. About 70% of the respondents stated that social media were their main sources of information on the campaign. Furthermore, 57% believed that twitter is an effective tool for sourcing information and mobilisation. Recommendations were made among others that efforts should also be made to institute a form of regulatory framework for social media as unscrupulous elements can use the platform to mobilize people to cause disorderliness in the nation

INTERRELATIONSHIP BETWEEN SEED VIGOUR TRAITS AND FIELD PERFORMANCE IN NEW RICE FOR AFRICA (NERICA) GENOTYPES (Oryza sativa L.)

The study was conducted to examine the relationships between seed vigour traits and field performancein 24 interspecific rice (Oryza sativa L.) genotypes specifically for Africa. Seeds of these genotypeswere evaluated in the late cropping season of 2003 and early cropping season of year 2004 inthe laboratory for seed vigour traits. Field performances were evaluated at the Teaching and ResearchFarm, University of Agriculture, Abeokuta, Nigeria for field performance traits. Data were collectedfrom the laboratory studies on six seed vigour traits while seven performance traits were assessed onthe field. The data were subjected to Pearson’s correlation to compute correlation coefficient (r) andstep-wise multiple regression analysis to determine percentage contribution of each trait to field emergence.The results of correlation analyses in the 2003, 2004 and across the two seasons revealed thatstandard germination, energy of germination, seedling vigour index-11, seedling vigour index-1 andspeed of germination index exhibited significant positive relationships with field emergence, seedlingestablishment, plant height, seedling dry weight and seed yield/plant. 100- seed weight significantcorrelation with plant height. From these results, all the laboratory seed vigour traits examined except100 seed weight were identified to be good predictors of field performance in NERICA rice. Regressionanalysis ranked speed of germination index as the major contributor to field emergence, accountingfor 58% of the total variation. Also, seedling establishment, standard germination and field emergencewere identified as the major contributors to seed yield/plant, accounting for 79, 77 and 66% ofthe total variation in seed yield/plant. Hence, prediction of field emergence and seed yield of NERICArice genotypes from seed vigour traits in the laboratory is possible and was effective

NUMERICAL SOLUTION OF VOLTERRA INTEGRO-DIFFERENTIAL EQUATIONS BY AKBARI-GANJI’S METHOD

In this study, Akbari-Ganji’s Method (AGM) was applied to solve Volterra Integro-Differential Difference Equations (VIDDE) using Legendre polynomials as basis functions. Here, a trial solution function of unknown constants that conform with the differential equations together with the initial conditions were assumed and substituted into the equations under consideration. The unknown coefficients are solved for using the new proposed approach, AGM which principally involves the application of the boundary conditions on successive derivatives and integrals of the problem to obtain a system of equations. The system of equation is solved using any appropriate computer software, Maple 18. Some examples were solved and the results compared to the exact solutions

Mineral and antinutrient content of high quality cassava-tigernut composite flour extruded snack

This study investigated the mineral and antinutrient composition of extruded snack produced from different blends of high quality cassava and tigernut flour. The extruded snacks were produced using a single-screw laboratory extruder at constant feed moisture (27%), screw speed (60 rpm) and barrel temperature (80C). It was observed that the extrudates had higher values for mineral composition (phosphorus, calcium, magnesium, potassium and iron) than the composite flour which showed that extrusion cooking improves the absorption of the minerals. The antinutrient (tannin, phytate, saponin, oxalate, alkaloids and total phenolic) contents of all the flour blends significantly (P < 0.05) increased with tigernut flour inclusion. Extrusion cooking resulted in significant (P < 0.05) reduction in the antinutrients of the extrudates. The study showed that extrusion cooking reduced the antinutritional factors thereby increasing the bioavailabilty of minerals. Also, the minerals were not affected by the extrusion cooking process probably because minerals are heat stable

Network Traffic Analysis for Threats Detection in the Internet of Things

As the prevalence of the Internet of Things (IoT) continues to increase, cyber criminals are quick to exploit the security gaps that many devices are inherently designed with. Whilst users can not be expected to tackle this threat alone, many current solutions available for network monitoring are simply not accessible or can be difficult to implement for the average user and is a gap that needs to be addressed. This paper presents an effective signature-based solution to monitor, analyse and detect potentially malicious traffic for IoT ecosystems in the typical home network environment by utilising passive network sniffing techniques and a cloud-application to monitor anomalous activity. The proposed solution focuses on two attack and propagation vectors leveraged by the infamous Mirai botnet, namely DNS and Telnet. Experimental evaluation demonstrates the proposed solution can detect 98.35% of malicious DNS traffic and 99.33% of Telnet traffic respectively; for an overall detection accuracy of 98.84%

Dynamic Clustering and Management of Mobile Wireless Sensor Networks

In Wireless Sensor Networks (WSNs), routing data towards the sink leads to unbalanced energy consumption among intermediate nodes resulting in high data loss rate. The use of multiple Mobile Data Collectors (MDCs) has been proposed in the literature to mitigate such problems. MDCs help to achieve uniform energy-consumption across the network, fill coverage gaps, and reduce end-to-end communication delays, amongst others. However, mechanisms to support MDCs such as location advertisement and route maintenance introduce significant overhead in terms of energy consumption and packet delays. In this paper, we propose a self-organizing and adaptive Dynamic Clustering (DCMDC) solution to maintain MDC-relay networks. This solution is based on dividing the network into well-delimited clusters called Service Zones (SZs). Localizing mobility management traffic to a SZ reduces signaling overhead, route setup delay and bandwidth utilization. Network clustering also helps to achieve scalability and load balancing. Smaller network clusters make buffer overflows and energy depletion less of a problem. These performance gains are expected to support achieving higher information completeness and availability as well as maximizing the network lifetime. Moreover, maintaining continuous connectivity between the MDC and sensor nodes increases information availability and validity. Performance experiments show that DCMDC outperforms its rival in the literature. Besides the improved quality of information, the proposed approach improves the packet delivery ratio by up to 10%, end-to-end delay by up to 15%, energy consumption by up to 53%, energy balancing by up to 51%, and prolongs the network lifetime by up to 53%