Cocksfoot (Dactylis glomerata L.) seed production : a thesis presented in partial fulfilment of the requirements for the degree of Master of Agricultural Science at Massey University

Seed yield reduction due to variation in genotype, management, and incidence of diseases is common and well documented in grass seed crops. Two New Zealand cultivars (Grasslands Wana, Grasslands Kara) and two Japanese (Akimidori Makibamidori) cocksfoot cultivars from a three year old stand (sown in September 1991) at Grassland Aorangi Research Farm in the Manawatu were evaluated for their seed yielding capacity. In addition these cultivars were evaluated to determine the effectiveness of bactericide (Streptomycin), nematicide (Vydate/Oxamyl) or a combinations of bactericide and nematicide to determine their effect on seed yield with traditional Fungicide (Folicur) application being used as a control. The unit plot size was 1.2 X 3.0 m2, with each plot containing 4 rows. randomized block design with two factors (cultivar and pesticide) was utilized with 4 replications. In each cultivar pesticide were sprayed in four replicates from each block. The New Zealand cultivar Wana outyielded the other three cultivar and produced about 23%, 32%, and 70% higher pure seed/unit area than that cvs Kara, Makibamidori and Akimidori respectively. The ability of cv Wana to outyield other cultivar was largely due to its ability to produce a greater numbers of fertile tillers and higher number of florets/head. Seed yields in the New Zealand cultivar Kara and the Japanese cultivar Makibamidori were similar but significantly higher than cv Akimidori. The significantly higher seed yield of cv Kara was due largely to its significantly higher seed weight than the other cultivars. Similarly the higher seed yield in cv Makibamidori compared to Akimidori was mainly due to higher seed weight. The lower pure seed yield in cv Akimidori was apparently due to lack of proper photoperiodic effect or cold temperature during anthesis and its earlier seed developing resulted in more empty florets than the New Zealand cultivar and cv Makibamidori. Fertile tiller numbers spikelets/ head and florets/ head were significantly higher in cv Wana compared to the other 3 cultivars. However, the TSW was low. The TSW was highest in cv Kara. Highest recovery of pure seed was obtained from cv Wana in screen and blown fraction. Highest pure seed was obtained from cv Makibamidori in clean seed fractions. Foliar disease intensity in all the four cultivars was found to be similar at all 3 stages of plant growth although disease levels were generally low. Percentage purity in clean seed as well as in different cleaning fractions varied depending on cultivar but cv Akimidori was always ranked lowest. Seed germination percentage in single and in multiple florets was higher in cv Akimidori compared to the other 3 cultivars. Different cultivars reacted differently to the application of pesticide. Cultivar Wana produced the highest yield 103 g pure seed/m2 in the Fungicide (Folicur) treatment compared to 55, 38 and 22 g/m2 in cv. Kara, Makibamidori and Akimidori respectively. However all cultivars produced lower yields following the application of Streptomycin. Seed yield in cv Akimidori was not affected by any pesticide application. The lower yield in Streptomycin treatments was mainly due its phytotoxic effect on leaf tissue. Seed yield in Fungicide, Vydate and in V+S treated plots was similar but significantly better than in Streptomycin treated plots. Fertile tiller numbers were also similar in these treatments but spikelet and total floret numbers were higher in the V+S treatment than in the Fungicide treatment. TSW and florets/ spikelets was not affected by pesticide application. The recovery of pure seed was always lowest in the Streptomycin treatment in all fractions of machine cleaning of seed but was higher in V+S than Fungicide treatment, particularly in the machine clean fraction. However, the recovery of pure seed from the screen fraction did not vary significantly. Over all the foliar disease severity was low in Fungicide and V+S treatment and highest in Vydate treatment at maturity but no difference during vegetative growth or at peak flowering. The percent purity varied only in the air screen fraction but was high in the Vydate treatment. Seed germination was high in all pesticide treatments and being above 90% in term of single florets and 85% in multiple florets with minor improvement in V+S treatment both in single and multiple florets and in Fungicide treatment with multiple florets only. The second trial involved only one cultivar (cv Tekapo) and involved 4 plots from each block with 3 different types of fungicide Alto (cyproconazole), Bavistin (carbendazim), and Bravo (chlorothalonil) applied from flower initiation to harvest maturity at intervals of 14 to 21 day. No effect of fungicide occurred in seed yield or in yield components. Disease severity varied significantly only at harvest maturity and was lowest in Alto treated plots (2.75) compared to the control (4.25). However, no difference occurred in assessment at the vegetative stages or at peak flowering. No significant effect of fungicide was observed in terms of seed cleaning. The percentage purity was found higher in Alto and Bravo treated plots. Germination results were well above accepted levels (90%) in all fungicide treatments with Bavistin treatments being particularly useful

Macroeconomic Determinants of Economic Growth in Pakistan

The main purpose of this paper has been to examine the effects of some of the key macroeconomic variables on Pakistan’s economic growth. Multiple regression framework is used to separate out the effects of key macroeconomic factors on growth over the period 1959-60 to 1996-97. The quantitative evidence shows that primary education to be an important prerequisite for accelerating growth. Similarly, increasing the stock of physical capital would help to contribute to growth. The empirical results also suggest that openness of Pakistan’s economy promotes economic growth. Alternatively, the budget deficit is negatively related to both output growth variables. The external debt is also negatively related to growth, suggesting that relying on domestic resources is the best alternative to finance growth. However, the results presented in this study reinforce the importance of sensible long-run growth-oriented policies to obtain sustainable growth.

Investigating Real-time Touchless Hand Interaction and Machine Learning Agents in Immersive Learning Environments

The recent surge in the adoption of new technologies and innovations in connectivity, interaction technology, and artificial realities can fundamentally change the digital world. eXtended Reality (XR), with its potential to bridge the virtual and real environments, creates new possibilities to develop more engaging and productive learning experiences. Evidence is emerging that thissophisticated technology offers new ways to improve the learning process for better student interaction and engagement. Recently, immersive technology has garnered much attention as an interactive technology that facilitates direct interaction with virtual objects in the real world. Furthermore, these virtual objects can be surrogates for real-world teaching resources, allowing for virtual labs. Thus XR could enable learning experiences that would not bepossible in impoverished educational systems worldwide. Interestingly, concepts such as virtual hand interaction and techniques such as machine learning are still not widely investigated in immersive learning. Hand interaction technologies in virtual environments can support the kinesthetic learning pedagogical approach, and the need for its touchless interaction nature hasincreased exceptionally in the post-COVID world. By implementing and evaluating real-time hand interaction technology for kinesthetic learning and machine learning agents for self-guided learning, this research has addressed these underutilized technologies to demonstrate the efficiency of immersive learning. This thesis has explored different hand-tracking APIs and devices to integrate real-time hand interaction techniques. These hand interaction techniques and integrated machine learning agents using reinforcement learning are evaluated with different display devices to test compatibility. The proposed approach aims to provide self-guided, more productive, and interactive learning experiences. Further, this research has investigated ethics, privacy, and security issues in XR and covered the future of immersive learning in the Metaverse.<br/

Investigating Real-time Touchless Hand Interaction and Machine Learning Agents in Immersive Learning Environments

The recent surge in the adoption of new technologies and innovations in connectivity, interaction technology, and artificial realities can fundamentally change the digital world. eXtended Reality (XR), with its potential to bridge the virtual and real environments, creates new possibilities to develop more engaging and productive learning experiences. Evidence is emerging that thissophisticated technology offers new ways to improve the learning process for better student interaction and engagement. Recently, immersive technology has garnered much attention as an interactive technology that facilitates direct interaction with virtual objects in the real world. Furthermore, these virtual objects can be surrogates for real-world teaching resources, allowing for virtual labs. Thus XR could enable learning experiences that would not bepossible in impoverished educational systems worldwide. Interestingly, concepts such as virtual hand interaction and techniques such as machine learning are still not widely investigated in immersive learning. Hand interaction technologies in virtual environments can support the kinesthetic learning pedagogical approach, and the need for its touchless interaction nature hasincreased exceptionally in the post-COVID world. By implementing and evaluating real-time hand interaction technology for kinesthetic learning and machine learning agents for self-guided learning, this research has addressed these underutilized technologies to demonstrate the efficiency of immersive learning. This thesis has explored different hand-tracking APIs and devices to integrate real-time hand interaction techniques. These hand interaction techniques and integrated machine learning agents using reinforcement learning are evaluated with different display devices to test compatibility. The proposed approach aims to provide self-guided, more productive, and interactive learning experiences. Further, this research has investigated ethics, privacy, and security issues in XR and covered the future of immersive learning in the Metaverse.<br/

An Analysis of the Educational Testing Service Major Field Test for Business Performance: Further Evidence

Assurance of learning is the key to students’ academic success. To this end, one of the largest historically Black colleges and universities (HBCUs) in the United States administers the Educational Testing Service Major Field Test for Business (ETS MFT-B) to assess student learning of business concepts. This study used a set of predictor variables to explain the ETS MFT-B performance at the subject HBCU. The results of the study are expected to close the gap between student performance and expected outcomes in the subject institution, as well as contribute to the broader issue of improving curriculum and teaching effectiveness in business schools in the United States. Using data from fall 2012 to fall 2018, the findings of the regressions indicated that new variables, namely, English language proficiency, hours attempted to hours earned, first-generation student status, and desire to pursue higher studies were important predictors of the ETS MFT-B total score and sub-scores. Among the traditional variables, the cumulative GPA and student’s major area were important predictors. These findings point toward several corrective actions in the assurance-of-learning process for the subject school. The subject school can add a business English class to the curriculum, improve teaching effectiveness, provide advising assistance when students retake classes, and adopt measures that will motivate students to prepare for the ETS MFT-B

Effects of ballistic impact damage on thin and thick composites

Use of composite materials is growing rapidly because they offer weight reduction, durability and better fatigue life as compared to metals. Despite of their advantages, there are some problems associated with the use of composites, and impact resistance is one of the weak areas in composites. Low speed impact damage has been the focus of attention of researchers for quite some time but studies of high speed impact damage is still in its preliminary stages. In this study, effects of ballistic impact on thin and thick composite panels were investigated. Damage due to high speed impact in composites is a complex phenomenon and it is difficult to analytically model all the events taking place during the impact;An experimental approach was used to study the damage from high speed impact and the Finite Element analysis was performed to understand the damage sequence. Thin symmetric quasi-isotropic and cross-ply laminates consisting of up to 16 layers were studied using experimental vibration and Finite Element analysis. It was found that frequency response of damaged plates is dependent on the stacking sequence of the laminate. Results also show that the natural frequencies of the damaged plates decrease for few initial modes and increase for some of the higher modes. It was observed that cross-ply laminates exhibit very little effect on the natural frequencies due to damage;Thick symmetric quasi-isotropic and cross-ply laminates consisting of 56 plies were also studied. Results demonstrate that damage size is dependent more on the shape and size of the impactor, rather than the impact energy. Faster bullets cause less damage as compared to slower bullets. Damage was found to be dependent on stacking sequence of the laminate. Cross-ply laminates suffer more damage than the quasi-isotropic laminates. Damage is dependent on the thickness of the laminate and is more in thicker laminates. Damage is always more towards the exit side than the entry surface;A model of bullet penetration into a composite laminate is presented and the failure due to inter-laminar shear stresses was explained through this model. The model was verified using a quasi-static Finite Element analysis. It was demonstrated that outer-most ply of the laminate fails first and maximum inter-laminar shear stresses occur between two outer-most plies, causing delamination. It was also demonstrated that inter-laminar shear stresses increase progressively, as the number of effective plies in the laminate reduce due to failure and it is strongly dependent on the stacking sequence