<p>  </p> <p>School-based agricultural education programs use laboratories to develop cognitive, psychomotor, and procedural skills (Phipps et al., 2008). It is important to help preservice teachers develop the ability to design instruction to cultivate skills that are taught in laboratory settings. Shulman (1986) authored a term called Pedagogical Content Knowledge (PCK), which is a teacher’s knowledge of teaching. Animal science dissection was the topic chosen for this study, as PCK is topic-specific (Chan & Hume, 2018). There are many interpretations of PCK. The Refined Consensus Model (RCM) of PCK in Science Education (Carlson et al., 2019) was the conceptual model used in this study, as it is the most recent PCK model, and was developed by experts in science education from multiple countries. This model asserts that PCK is comprised of three realms: Collective PCK (cPCK), Personal PCK (pPCK), and Enacted PCK (ePCK). The first purpose of this study was to describe preservice agriculture teachers' Professional Knowledge Bases (which informs pPCK), before and after instruction, on the topic of animal science dissection in a Laboratory Practices in Agricultural Education (LPAE) course. The second purpose was to describe preservice agriculture teachers' cPCK, after instruction, on animal science dissection in an LPAE course. Content Representations (CoRes), a common tool used for PCK research, were used identify evidence of the Professional Knowledge Bases (PKBs) in preservice agriculture teachers’ instructional planning. Results from this study showed elevated descriptions of Professional Knowledge Bases, and participants collectively gained new ideas and collaboration skills. Overall LPAE dissection experience appeared to push the depth of student thinking and ability to make connections with future learning. Future research recommendations include using the RCM of PCK (Carlson et al., 2019) and CoRes in agricultural education; more PCK research, specifically exploring the development of Curricular Knowledge, on preservice teachers in agricultural education; and PCK research on other topics in agricultural education. It is recommended to not only include PCK development in teacher preparation programs but also have more than one exposure to PCK development.</p>

The cell wall provides a complex and rigid structure to the plant for support, protection from environmental factors, and transport. It is mainly composed of polysaccharides, proteins, and lignin. Arabinoxylan (AX), pectin (P), and cellulose (C) are the main components of cereal cell walls and are particularly concentrated in the bran portion of the grain. Cereal arabinoxylans create networks in plant cell walls in which other cell wall polysaccharides are imbedded forming complex matrices. These networks give an insolubility profile to plant cell wall. A previous study in our lab showed that soluble crosslinked arabinoxylan with relatively high residual ferulic acid from corn bran provided advantageous <i>in vitro </i>human fecal fermentation products and promoted butyrogenic gut bacteria. In the present work, arabinoxylan was isolated from corn bran with a mild sodium hydroxide concentration to keep most of its ferulic acid content. Highly ferulated corn bran arabinoxylan was crosslinked to create an insoluble network to mimic the cereal grain cell wall matrices. Firstly, arabinoxylan film (Cax-F), pectin film (P-F), the film produced by embedding pectin into arabinoxylan networks (CaxP-F), and cellulose embedding arabinoxylan matrices (CaxC-F), and embedding the mixture of cellulose and pectin into arabinoxylan networks (CaxCP-F) were fabricated into simulated plant cell wall materials. Water solubility of films in terms of monosaccharide content was examined and revealed that Cax-F was insoluble, and P-F was partially insoluble, and nanosized pectin and cellulose were partially entrapped inside the crosslinked-arabinoxylan matrices. In a further study, these films were used in an <i>in vitro </i>human fecal fermentation assay to understand how gut microbiota access and utilize the different simulated plant cell walls to highlight the role of each plant cell wall component during colonic fermentation. <i>In vitro </i>fecal samples, obtained from three healthy donors were used to ferment the films (Cax-F, P-F, CaxP-F, CaxC-F, and CaxCP-F) and controls (free form of cell wall components -Cax, P and C). The fabricated films that were compositionally similar to cell walls were fermented more slowly than the free polysaccharides (Cax and P). Besides, CaxP-F produced the highest short chain fatty acids (SCFA) amount among the films after 24 hour <i>in vitro </i>fecal fermentation. Regarding specific SCFA, butyrate molar ratio of all films was significantly higher than the free, soluble Cax and P. 16S rRNA gene sequencing explained the differences of the butyrate proportion derived from specific butyrogenic bacteria. Particularly, some bacteria, especially in a butyrogenic genera from Clostridium cluster XIVa, were increased in arabinoxylan films forms compared to the native free arabinoxylan polysaccharide. However, no changes were observed between P and P-F in terms of both end products (SCFA) and microbiota compositions. Moreover, CaxP-F promoted the butyrogenic bacteria in fecal samples compared with pectin alone, arabinoxylan alone, and the arabinoxylan film. Differences in matrix insolubility of the film, which was high for the covalently linked arabinoxylan films, but low for the non-covalent ionic-linked pectin film, appears to play an important role in targeting Clostridial bacterial groups. Overall, the cell wall-like films were useful to understand which bacteria degrade them related to their physical form and location of the fiber polymers. This study showed how fabricated model plant cell wall films influence specificity and competitiveness of some gut bacteria and suggest that fabricated materials using natural fibers might be used for targeted support of certain gut bacteria and bacterial groups.

<p> Despite the continuous breeding efforts towards improving yield, seed quality, and yield-related traits, there is still little understanding of several aspects of soybean breeding; however, crop breeding is ever-evolving, and plant breeding technologies offer immense potential for accelerating genetic improvement in soybeans. This thesis explores different frameworks to further characterize tradeoffs among seed quality traits, soybean maturity's genetic architecture, and selections for yield. We explored the interactions of carbohydrate traits with other seed traits, flowering, and maturity using data from a large panel of <em>G. max </em>accessions from the USDA soybean germplasm collection. We found a negative correlation between sucrose and protein and a negative correlation between protein and oil, representing a significant challenge for improving seed quality. In contrast to other well-documented correlations, such as protein and oil, correlations between raffinose and oil content seem more specific to populations and environments and are unlikely to generalize to the whole specie; however, the correlations of sucrose with protein and seed size appears to be more stable. In addition, we performed a genome-wide association analysis (GWA) to detect novel QTLs for flowering (R1) time, maturity (R8) time, and reproductive length (RL) using a soybean panel with the same genotype for major <em>E </em>genes (<em>e1-as/E2/E3). </em>While major maturity <em>E</em> genes are known to have pleiotropic effects on R1 and R8, we found two QTLs associated with R8 and RL that do not control R1, suggesting minor-effect, trait-specific loci are also involved in controlling R1 and R8. In addition, w<em>e identified six genes that may play essential roles in regulating R1, R8, and RL; however, further validation of the QTLs and f</em>ine mapping and map-based cloning studies of the candidate genes are necessary before they can be used in breeding programs. Lastly, we conducted a selection experiment in progeny row (PR) populations of four breeding programs to compare the agronomic performance of lines selected by breeders using their usual selection methods to lines selected through prediction of yield performance using new sources of data and information. Our results suggest that aerial average canopy coverage (ACC) used as a secondary trait in combination with field spatial variation adjustment is an efficient high throughput methodology to effectively select high-yielding lines from non-replicated experiments at the PR stage. </p>

<p>  </p> <p>Food system STEM projects have the capacity to motivate high school students in urban schools. This study explored food as a context to engage students because everyone interacts with food on a daily basis and has had cultural experiences related to food. An integrated STEM approach in combination with a systems thinking approach challenged students to make transdisciplinary connections, view problems from different perspectives, analyze complex relationships, and develop 21st-century and career skills (Hilimire et al., 2014; Nanayakkara et al., 2017). The purpose of this study was to describe and explain the relevance students perceive in Ag+STEM content by measuring high school students' self-efficacy, intrinsic value, attainment value, cost value, and utility value after participating in a food system STEM project. The study was informed by Eccles and Wigfield’s (2020) Situated Expectancy Value Theory. The convenience sample of this study was comprised of high school students from metropolitan area schools. High school students completed a food system STEM project with a food system context. Quantitative data was collected using the developed Food System Motivation questionnaire. Data were collected through a retrospective pre-test and a post-test. Descriptive statistics were used to analyze the data including means and standard deviations. Relationships were explored by calculating correlations.</p> <p>There were four conclusions from this study. First, high school students were somewhat interested, felt it was important to do well, and agreed there were costs regarding participation in the food system STEM project. Second, high school students reported higher personal and local utility value motivation after completing the food system STEM project. Third, high school students were somewhat self-efficacious in completing the project tasks and completing the project tasks informed by their cultural identity and experiences. Fourth, intrinsic value and attainment value motivation (independent variables) were related to personal and local utility value motivation and project and cultural self-efficacy motivation (dependent variables). Implications for practice and recommendations for future research were discussed.</p>

<p>  </p> <p>Food safety researchers and extension workers are focused on educating the different actors of the supply chain, from farm to fork. To accomplish this, researchers identify areas of improvement and investigate the factors that cause or explain food safety behaviors. This thesis is divided into a systematic literature review with a meta-analysis and qualitative synthesis (Ch. 2), then two case studies that use predictive models to find top predictors of food safety behaviors (Ch.3 and 4). The systematic review (Ch.2) investigates online food safety educational programs and their effectiveness, barriers, and recommendations on different subpopulations of students, consumers, and food workers. The findings showed a limited effect on attitudes in the different subpopulations. Several areas for future research and recommendations for educators were identified. The first case study (Ch.3) developed predictive models of different food safety behaviors at ten time points throughout the COVID-19 pandemic. Findings suggest an effect between changes in COVID-19 case numbers and how well attitudes related to COVID-19 can make predictions. Additionally, findings suggest the importance of attitudes when predicting food safety behaviors. Lastly, results identified that the belief that handwashing protects against foodborne illness was more important than the belief that handwashing protects against COVID-19 when predicting handwashing at most time points. These findings can identify insights into consumer behaviors during the pandemic and several possible areas for future research. The second case study (Ch. 4) developed predictive models of consumer flour handling practices and consumer awareness of flour-related recalls and how they are affected by the total number of flour-related recalls for a state where the consumer lives. Findings identified the importance of risk perceptions in predicting consumer flour handling practices. Results also showed that younger consumers were predicted to be more likely to be aware of flour recalls than consumers of older ages. Lastly, results show that the total number of flour-related recalls for a state where the consumer lives do not affect predictions. Findings identify potential challenges to recall communication and areas for future studies.</p>

<p>  </p> <p>The rise of technology as a data source for ecological research and biodiversity conservation has led to a host of new opportunities, and new challenges, for researchers, conservationists, policymakers, and land managers. As these technologies have become more common and more capable, researchers need improved methods and improved theoretical frameworks to integrate these technologies with each other; with social science and policy; and with land-use planning. This thesis proposes several of these conceptual and theoretical frameworks—one for integration of heterogeneous data and another for the integration of ecological data with economic decision-making and policy analysis. It then suggests new methodologies for data quality assurance. Lastly, it demonstrates the applicability of acoustic monitoring in a key land-use context: agriculture in a premium crop that is grown in global biodiversity hotspots. </p>

<p dir="ltr">ABSTRACT</p><p dir="ltr">Bovine Respiratory Disease (BRD) poses a significant challenge in the dairy and beef industry, contributing to high mortality, morbidity, and economic costs. Extensive research has aimed to enhance BRD diagnosis, focusing on various factors such as predisposition, environment, and epidemiology. While diverse methods have been developed for BRD detection, including clinical signs, behavioral changes, lung consolidation assessment via ultrasonography, and molecular techniques for microbiome analysis, accurate diagnosis remain inconsistent. Notably, many studies lack exploration of microbial interactions (fungi, viruses, and bacteria) within BRD-affected animals compared to healthy ones. Moreover, the impact of age, disease, and antibiotic treatment on the microbiome community remains understudied. Thus, additional analysis is crucial to understand the relationships between these factors and BRD development. This dissertation is divided into two parts, each addressing specific conditions. The first part focuses on characterizing the nasopharyngeal (NP) microbiome of dairy calves, pre-weaned and post-transported, and those diagnosed with BRD within the first two weeks of life. The objective is to identify NP microbiome changes as indicators of disease development, considering antibiotic treatment effects on NP alpha and beta diversity. The second part delves into characterizing the fungal and bacterial nasal cavity among BRD-affected and healthy cattle within the same pen. This section, presented in three chapters, explores the bovine nasal mycobiome in beef cattle, as well as the nasal microbiome in both dairy and beef cattle. The overarching goals of these studies are to evaluate differences in the nasal mycobiome or microbiome community between BRD-affected and healthy cattle, focusing on alpha, beta, and community compositions as potential disease indicators. Additionally, the aim is to determine if BRD-affected cattle exhibit higher abundance of BRD-pathobionts (fungi and bacteria) in the nasal cavity compared to healthy pen-mates. In conclusion, findings from this research emphasize the importance of incorporating both mycobiome and microbiome analyses in understanding BRD development. Future studies should consider geographical influences on nasal microbiome structure, highlighting the need for separate investigations in dairy and beef calves due to breed variations. Ultimately, studying mycobiome and microbiome ecology offers insights into microbial transitions from commensal to pathogenic farms in the bovine upper respiratory tract, supporting advancements in BRD prevention or mitigation strategies.</p>

<p dir="ltr">The striped cucumber beetle (<i>Acalymma vittatum</i>) is a leading pest across a variety of cucurbit crops in eastern North America. These beetles can rapidly infest and damage a field, leading to frequent insecticide applications to manage them. Chemical control is effective at reducing beetle populations, but it also causes detrimental non-target effects on pollinators, which are essential for cucurbit yield. Developing a holistic IPM (integrated pest management) approach is necessary to manage pests while avoiding non-target effects in cucurbit production systems. </p><p dir="ltr">A unique and well-characterized behavior of striped cucumber beetles is their olfactory attraction to both plant volatiles and their species-specific aggregation pheromone, vittatalactone. The interacting effects of combining these olfactory stimuli for cucumber beetle attraction have not previously been tested. I expected when presented with plant volatiles and pheromone together, the striped cucumber beetles will show synergistic attraction, resulting in enhanced attraction stronger than the sums of the separate effects. Along with targeting striped cucumber beetles, I expected to elicit cross-attraction of related cucurbit pests (e.g., spotted cucumber beetle) to these same signals based on previous findings indicating cross-attraction. The expected cross attraction may be due to the reliance on olfactory cues to inform the related insects on preferrable host plants and nutrition. </p><p dir="ltr">Cucurbit systems are also highly reliant on pollination services for high-quality fruit; thus, the feasibility of these semiochemical tools depends on their influence on pollinator behavior. I expect pollinators to be attracted to floral volatiles but not vittatalactone or individual plant volatiles without the full complement of floral scent (e.g., indole, leaf volatiles). Altogether, this research aims to develop a targeted management tool for striped cucumber beetles and other cucurbit pests, while avoiding pollinator distraction or other detrimental effects.</p><p dir="ltr">To measure the efficacy of using olfactory signals as attractants, clear sticky cards were deployed in the field with combinations of pheromone paired with volatiles (floral and/or leaf), as well as the individual components, to quantify pest responses. Simultaneously, a pan trap sampling method was implemented to measure pollinator responses to the same semiochemical combinations. The results of the study demonstrate that striped cucumber beetles are strongly attracted to volatile lures containing pheromones, floral volatiles, and combinations of the two, although the combined pheromone and floral volatile treatments did not synergize beetle attraction. </p><p dir="ltr">Though combined lures did not synergize attraction, this data demonstrates additive effects on beetle behavior. The findings also highlight the importance of understanding seasonal disparities between the behavior of early and late generations of striped cucumber beetles. Temporal variation in attraction demonstrated by the pests is crucial to understand when to implement lure-based management strategies. Two years of testing floral volatile and herbivory-induced plant volatile (HIPV) lure treatments on key cucurbit pollinators showed varying levels of attraction. There was no attraction of focal cucurbit bees to the striped cucumber beetle pheromone, but there were differences in the response of pollinators to plant volatile components. </p><p dir="ltr">Cucurbits require high pollination activity for successful fruit, though the most important bees in pollinating this system are bees belonging to the genera, <i>Apis</i> and <i>Eucera</i>. Along with these bee groups, other bees such as those belonging to <i>Melissodes</i>, <i>Lasioglossum</i>, and <i>Bombus</i> are also known important pollinators. <i>Lasioglossum</i> bees showed a strong attraction to the full-floral blend, TIC (1,2,4-trimethoxybenzene, indole, (E)-cinnamaldehyde), but no preference for indole or HIPVs. <i>Melissodes</i> bees were most attracted to methyl salicylate and TIC, whereas <i>Eucera</i> bees exhibited strong attraction to ocimene and TIC. These findings suggest that different pollinator taxa have unique preferences for plant volatiles, highlighting the importance of optimizing lure combinations to avoid disrupting pollination activities in cucurbit production.</p><p dir="ltr">Additionally, this study revealed that other key cucurbit pests, such as spotted cucumber beetles and western corn rootworms, also showed strong attraction to the tested volatile components. These findings suggest that the selected volatiles may have broader implications for pest management beyond striped cucumber beetles. Further research is needed to fully understand the efficacy and refine formulations of these volatile lures to implement in IPM.</p>

<p dir="ltr">Higher education is vital for fostering new knowledge and applying existing knowledge for societal and economic advancement. Despite the private and public benefits, college enrollment rates are declining in the United States. Colleges and universities also face a significant demographic cliff in the next decade. Identifying new students for higher education in the United States will be essential for the vitality of higher education institutions and for meeting societal educational needs. Youth-serving organizations often introduce youths to pre-collegiate experiences to advance interest in higher education through a positive youth development framework. Youth-serving organizations must demonstrate impact during a tumultuous time for adolescents. They may rely on short-term impacts to justify resource investment, but youth-serving organizations struggle to capture long-term outcomes due to methodological challenges. Secondary data sources like the National Student Clearinghouse can provide youth-serving organizations an opportunity to examine long-term programmatic outcomes such as college readiness. This study provides the most comprehensive examination of Indiana 4-H and its contribution to college readiness to date. Major findings include that Indiana 4-H high school graduates enroll in postsecondary institutions at a higher rate than the state population across all observed demographics. Recommendations highlight future research and practice needs at national, organizational, and individual levels.</p>

<p> Chapter 1 is the first revision of the New World species of the genus <em>Rhipidandrus</em> LeConte, 1862 (Coleoptera: Tenebrionidae). All previously described species except <em>R. fungicola</em> Friedenreich, 1883 are redescribed, including a diagnosis and distribution information. <em>Rhipidandrus punctatus</em> <strong>n. sp.</strong> is described from Peru, Panama, and Chiapas, Mexico. New synonymies (junior synonyms first) include: <em>R. mexicanus</em> Sharp, 1905 = <em>R. paradoxus</em> (Palisot de Beauvois, 1818); <em>R. cornutus</em> (Arrow, 1904) = <em>R. panamaensis </em>(Barber, 1914) = <em>R. peruvianus</em> (Laporte, 1840); <em>R. peninsularis</em> Horn, 1894 = <em>R. micrographus</em> (Lacordiare, 1865). <em>Eledona peruviana </em>Laporte, 1840 is recognized as <em>nomen nudum</em> according to ICZN 1999: Article 12. A revised species checklist, a dichotomous key, an interactive key, and distribution maps are also presented.  </p> <p>Chapter 2 represents the first phylogenetic insight into the relationships within Bolitophagini in relation to Toxicini with more than three taxa sampled. For analyses, 34 taxa were sampled, with representatives from nine bolitophagine genera and seven toxicine genera with 3 outgroup taxa. Six gene regions from nuclear, ribosomal, and mitochondrial DNA were amplified using polymerase chain reactions and sequenced. Bayesian and maximum likelihood analyses were run on the 4049 bp concatenated dataset via the CIPRES Science Gateway. In both resulting trees, the monophyly of Bolitophagini is recovered with high support (BS = 100, PP = 100). The monophyly of Toxicini was recovered, but with poor support (BS = 60, PP = 70). The monophyletic clade containing both Bolitophagini and Toxicini was also recovered with high support (BS = 100, PP = 100).  </p> <p><br></p>