This investigation was set out to study the genetic control in early generations of key traits for production of early maturing, high quality and high yielding Brassica juncea L. genotypes in Pakistan. Eight genotypes of B. juncea were chosen for one or more of several interesting taits for genetic improvement of B. juncea in Pakistan – early maturity, yellow seed colour, large seed size, high seed quality (low erucic acid in oil and glucosinolate in meal), high seed yield and oil and protein content. All the eight selected genotypes were crossed in a complete diallel design and genetic analysis was conducted on subsequent early generations in field experiments. The genetic analysis for each trait included Hayman analysis of diallel F1 progeny for additive and dominant effects, combining ability analysis and generation mean analysis. Based on the outcome of these genetic analyses, suitable breeding methodology will be recommended for further breeding of B. juncea in Pakistan. The parental material was obtained from National Agricultural Research Centre (NARC), Islamabad, Barani Agricultural Research Institute (BARI), Chakwal and Nuclear Institute for Food and Agriculture (NIFA), Peshawar. Two early maturing genotypes included in the parental material were selected after evaluating twenty genotypes in winter 2005-06. F1 generation was obtained from the complete diallel in winter season 2006-07 at BARI, Chakwal. The 56 F1 hybrids along with their parents were sown in Randomized Complete Block Design with three replications during next crop season 2007-08. Data were recorded for days to first flowering and physiological maturity, plant height, primary branches per plant, siliquae per plant, siliqua length, seeds per siliqua,1000-seed weight, seed yield per plot, oil and protein contents, erucic acid and glucosinolate contents. Analysis of variance showed significant differences for all the traits and therefore, data were further analyzed using Hayman’s approach which showed existance of both additive and dominance gene effects governing all the traits. However, estimates for genetic components of variation revealed that additive effects were more important for days to first flowering, days to physiological maturity, seeds per siliqua, 1000-seed weight, erucic acid and glucosinolate contents while, dominance effects were more prominent for plant height, number of primary branches per plant, number of siliquae per plant, siliqua length, seed yield per plot, oil and protein contents. Asymmetrical distribution of dominant genes among the parents was identified for all the characters except days to first flowering in which both parents had nearly equal number of dominant genes. Some of the traits like siliqua length, oil and protein contents and glucosinolate contents showed presence of directional dominance. For plant height, number of primary branches, siliquae per plant, siliqua length, seed yield per plot, oil and protein contents, over dominance was observed. The results for combining ability analysis indicated significant general combining ability for most of the traits except for plant height, siliqua length, oil and protein contents indicating that selection would not bring about significant improvement in these traits due to absence of significant variations. Combining ability analysis showed that UCD-8/4, KJ-119 and BRS-2 were good general combiners for maturity and yield related traits. NIFA RAYA x UCD-8/4, CANOLA RAYA x UCD-6/23, KJ-119 x UCD-6/23, CANOLA RAYA x UCD-8/4, KJ-119 x UCD-8/4, CANOLA RAYA x UCD-8/4, KJ-119 x BRS-2 and KJ-119 x CANOLA RAYA involved at least one of the good general combiner parents and showed high desired specific combining ability for many traits. Heterosis estimates indicated that significant negative and positive values were shown by many crosses for all the traits except for protein content, for which only one cross showed positive significant heterosis. Many of the crosses with significant positive heterosis for oil content involved yellow-seeded parents while seven of the crosses showed significant positive heterosis simultaneously for both erucic acid and glucosinolate contents. High broad sense heritability was observed for all the traits except for days to first flowering and days to physiological maturity. The estimates for genetic advance were moderate to high for all the traits. High values for heterosis, heritability and genetic advance for various traits indicated good genetic potential for selection. During the same crop season, five of the F1 crosses were selected on the basis of their performance regarding different yield related traits. To generate F2 generation, five F1 plants from each cross were selfed. Back cross generations i.e, BC1 and BC2, were also developed by crossing two F1 hybrids with both of the parents for all the five crosses. The seeds of eight parents, F1, F2, BC1 and BC2 were sown during crop season 2008-09. Data were collected for maturity and yield attributes and subjected to analysis of variance and generation mean analysis to derive information on the relative importance of additive effects, dominance deviations and epistasis with the help of six parameter model presented by Hayman. Significance of scaling tests indicated presence of epistasis. Results for generation mean analysis showed that additive gene effects were effective in most of the crosses for many traits however some crosses showed presence of dominance effects for days to physiological maturity, plant height, number of primary branches, 1000-seed weight and seed yield. Dominance x dominance interaction was prominent for all the traits while for siliqua length and seed yield, additive x dominance interaction was also important. Additive x additive component was also detected in few crosses for various traits. Duplicate epistasis was detected for 1000-seed weight and seed yield while complementary epistasis was observed for days to physiological maturity, plant height and number of primary branches. Presence of dominance effects along with duplicate epistasis for 1000-seed weight and seed yield indicated that selection might be better carried out in late segregating generations. From the information regarding genetic control of all these traits it is suggested that for the traits showing prominent role of non-additive effects and presence of over-dominance, selection can be delayed up to late segregating generations while for the traits observing more effective role of additive effects, selection can be carried out in early segregating generations. Some combinations have been identified which will be useful to develop and release early maturing, good quality and high yielding varieties of B. juncea in Pakistan.
The research explores the factors affecting employees' job motivation in small and medium enterprises in Dong Nai province from June 2019 to June 2020. The results of multiple linear regression analysis showed that there are five factors including the following elements: relationships in the organization; interesting job; Salary, bonus, and benefits; Training and promotion and assessment of job performance affects the working motivation of employees in small and medium-sized enterprises in Dong Nai province with the significance of 5%. In addBesidesstudy results were processed from SPSS 20.0, Amos software. Estimated parameters of the model by the least least-squared with a significance level of 1%. The results are also significant scientific evidence for researchers and policymakers at small and medium enterprises in Dong Nai province to apply research results to human resource development in the future. Based on the five-factor test results, the author proposed the priority governance implications that the author suggested in order of priority, respectively, interesting work, performance evaluation, organization, salary, bonus and welfare regime, and training and promotion.
From a security perspective, a jamming attack is easy to launch and relatively hard to detect. Jamming attacks are generally directed towards seizing the medium completely by transmitting fake packets violating the medium access protocol, either constantly or periodically. This work analyzes the effects of different types of jammers using Conservation of Flow (CoF), which has been useful for detecting other attacks in wired networks. Additionally, simulation results are presented in justification of proposed methodology. With the miniaturization of wireless devices, the popularity and usage has increased in recent past, especially due to portability. Since the design of such devices does not primarily emphasize heavy computation and secure communication, these are treated as add-ons. In setting up an ad hoc network rather than choosing all or more than the channels offered by 802.11 standard, only a single channel is generally utilized to minimize delay and synchronization issues. However, by using additional available multiple channels, significant gain in terms of overall system performance can be achieved. This, and other limitations like a shared medium which is open to all, attracts intruders in wireless networks. Mainly, the use of a lone channel can become single point of failure in case of an attack, especially a jamming attack. In contrast to other security attacks, no special hardware and computation is required in launching jamming attacks. Additionally, even if the attacker does not get hold of the communication, he can emit radio signals periodically to jam legitimate conversation. Thus, legitimate nodes escape physically or logically to avoid a jammer at the cost of additional overhead involving coordination amongst nodes to resume communication. The overhead involved in either of the methods is considered worthy in terms of regaining the performance of the network. In this thesis, a couple of MAC layer-based algorithms are proposed to mitigate the effects of jamming attacks efficiently; the first is a reactive mechanism and the second is a proactive proposal. The work starts with an investigation of different jamming types and their effects on wireless communication. For this purpose, a simulation model was developed and the resulting data set was verified using AI algorithms, which predicted 98% accuracy. Next, a reactive technique namely packet-feed is proposed to keep the jammer busy on the jammed channel. Once the nodes detect the existence of the jammer and hop to another channel, they alternatively visit the earlier channel to feed the jammer with valid packets. This way, the nodes pretend to the jammer that the earlier channel is still in use. Finally, a proactive channel hopping protocol is proposed where each node has a separate and dynamically selected control channel. Additionally, rather than each of them feeding the other its channel hopping sequence, both parties coordinate to come up with a new channel where data transfer can take place. Thus, provision of redundant channels is provided to each node. Following on from this, the proposed idea is analyzed with the existence of a jammer.