Agriculture Commons^™

Technical Skills And Their Roles In Agribusiness Supply Chain Management Education, Ryan Loy, Logan L. Britton, F. Bailey Norwood

Agricultural Economics and Agribusiness Faculty Publications and Presentations

The integration of advanced technical skills and supply chain management (SCM) tools is critical for the evolving demands of agribusiness. This study identifies the technical competencies, software proficiencies, and educational strategies essential for preparing students to excel in modern SCM roles. Through semi-structured interviews with 26 SCM professionals across US agribusiness sectors, the study highlights the demand for expertise in tools such as SAP, Power BI, and SQL alongside capabilities in data-driven decision-making and adaptability. Despite theoretical preparation, graduates often lack practical experience with industry-standard technologies, underscoring a gap in academic curricula. The findings suggest that agribusiness programs should emphasize …

Effects Of Compost Incorporated Versus Surface Applied On Soybean Yield And Soil Health, Maheshwari Kuchanapally

Theses and Dissertations

Compost application is increasingly recognized as a sustainable soil management practice that enhances soil health and crop production. However, the method of application, incorporated versus surface applied, may influence its effectiveness in improving soil properties and crop productivity. This study evaluated the effects of compost application method on soybean (Glycine max L. Merr.) yield and soil health at Illinois State University Research Farm in Lexington, Illinois, across two growing seasons, 2024 and 2025. The 2024 experiment used a Completely Randomized Design comparing incorporated versus surface-applied compost (n = 4; 8 plots). The 2025 experiment used a Randomized Complete Block Design …

The Effect Of Withering Methods On Physicochemical And Sensory Properties Of Liberica Coffee Leaf Tea (Coffea Liberica), Surhaini Surhaini, Indriyani Indriyani, Rahayu Suseno, Rinaldi Rinaldi, Ferry Jie, Huda Wazzan

Research outputs 2022 to 2026

This study aims to evaluate the effect of different withering methods on physicochemical and organoleptic properties of Liberica coffee leaf tea (Coffea liberica) and to identify the optimal treatment. The experiment was conducted using a Completely Randomized Design (CRD) with five withering treatments, including no withering, room temperature withering for 10 h, air withering for 10 h, oven withering at 60°C for 30 min, and steaming for 2 min, each with four replications. The observed parameters included powder moisture content, pH, color (L*, a*, b*), antioxidant activity, total phenols, total tannins, flavonoids, and sensory attributes, namely color, aroma, acidity, taste, …

Comparing Individual Vs Mixed Treatments Of Chicken Bone Meal And Crab Shell Meal On The Growth Of Capsicum Annuum (Bell Pepper), Allthur Rudy R. Arroyo, John Rafael V. Capinia, Ethan Jude R. Reyes, Elnathan Jethro B. Sumalbag, Karl Benedict E. Viri, John Ray Cordova Estrellado, Kerry P. Cabral

Sinaya: A Philippine Journal for Senior High School Teachers and Students

The recycling of nutrient-rich food waste reduces reliance on synthetic fertilizers, enhances soil quality, and improves plant growth. Existing studies have demonstrated the effectiveness of food waste, such as bone meal (B) and crab shell meal (S), as fertilizers; however, their combined use has not been investigated. This study aims to evaluate the effect of varying proportions of B and S fertilizers on the growth of Capsicum annuum (bell pepper) employing a random complete block design with 10 treatments (pure B, pure S, and a 50:50 BS mix, each at 7 g, 14 g, and 21 g) plus a control …

Temperature Variability And Its Effect On Seasonal Yield Of Rice In Bangladesh: A Long-Term Trend Assessment, Md. Abdullah Al Mamun, Md. Abdur Rouf Sarkar, Mou Rani Sarker, Andrew M. Mckenzie, Sheikh Arafat Islam Nihad, Akbar Hossain

Agricultural Economics and Agribusiness Faculty Publications and Presentations

Bangladesh, an agriculturally reliant and climate-vulnerable country, requires real-time quantification of climatic variables, such as temperature, to sustain food security. However, the effects of spatial and temporal temperature variations on rice productivity across seasons remain underexplored. Our study addresses this gap by analyzing temperature data from 35 meteorological stations (1970-2020) using parametric and nonparametric methods. The Mann-Kendall test revealed a pronounced increase in minimum temperatures compared to maximum temperatures, particularly during the monsoon season. K-means clustering identified four seasonal station clusters, revealing that rising minimum temperatures positively influenced Aus rice yields in seven regions, while temperatures above 35 degrees C …

Impact Of Optimized Irrigation Scheduling On Wheat Growth, Yield And Water Use Efficiency Under Arid Conditions, Muhammad Arshad Khan, Ashiq Saleem, Muhammad Mansoor, Abdul Fatah Soomro, Haroon Shahzad

Journal of Bioresource Management

Improving water use efficiency is crucial since, in Pakistan, water is the main resource that limits crop productivity. A field study was conducted using a Randomized Complete Block Design (RCBD) with four replicates at the research farm of the Arid Zone Research Centre, Dera Ismail Khan, to determine the effects of altered irrigation schedules on wheat growth, yield and water use efficiency (WUE). LI₁ and LI₂ (90 and 60 mm irrigation) at crown root, tillering and milking stages, LI₃ (60 mm irrigation) at crown root and tillering stages and (90 mm irrigation) at milking stage, and LI …

Utilization Of Phytogenic Silver Nanoparticles And Bacterial Agents For The Management Of Citrus Canker Disease, Zainab Jamil, Tariq Mukhtar, Muhammad Usman Raja, Muhammad Shahbaz, Jaya Seelan S. Seelan, Muhammed Tatar, Amjad Ali, Noor Fatima, Rahma Bejaoui, Ayşe Usanmaz Bozhüyük

Turkish Journal of Agriculture and Forestry

Citrus is one of the most important and widely cultivated fruit crops globally. However, its productivity is increasingly threatened by various diseases, with bacterial infections being particularly the most destructive. Among these, citrus canker, caused by Xanthomonas axonopodis pv. citri (Xac), poses a significant challenge, requiring effective management strategies. Traditional approaches have shown limited success, but nanotechnology has emerged as a promising alternative for disease control. In this study, Xanthomonas spp. was isolated from two locations: Koont Farm and the National Agricultural Research Centre (NARC) citrus orchards in Islamabad, Pakistan. The isolates were identified through morpho-biochemical methods. Moreover, three Bacillus …

Optimizing Cultivated Land Productivity Through Integrated Fertilization Strategies And Uav-Assisted Management, Kejun Wang

Turkish Journal of Agriculture and Forestry

This study investigates the impact of long-term fertilization modes on crop health and productivity using unmanned aerial vehicle (UAV)-assisted monitoring and a Q-learning-based approach for optimized fertilization strategies. An approximate state-matching Q-learning algorithm was developed to improve the efficiency of agricultural UAVs in fertilization tasks. The spatiotemporal patterns of cultivated land productivity under different fertilization regimes were analyzed in a long-term experiment. An evaluation system for cultivated land health productivity was established. The results indicated that the Q-learning algorithm enabled UAVs to achieve efficient task completion. QLASM outperformed traditional methods on all metrics. QLASM achieved a 92% task completion rate …

Jujubenet: A Dual-Stage Spectral Reconstruction Network For Rapid Jujube Moisture Content Estimation, Yalei Xu, Yang Li, Jing Nie, Jingbin Li

Turkish Journal of Agriculture and Forestry

Spectral analysis methods can nondestructively assess the quality of agricultural products but are limited by imaging speed and equipment costs. Therefore, they have not yet been fully integrated into engineering practices. This paper presents JujubeNet, a two-stage hyperspectral reconstruction model for detecting moisture content in jujubes. The first stage utilizes a generative pretrained Pix2Pix generative adversarial network (GAN) to generate RGB images of jujubes that mimic real camera styles and are pixel-to-pixel aligned with hyperspectral images. The second stage uses a transformer-based spectral reconstruction model to achieve hyperspectral reconstruction. Additionally, we developed a moisture content detection model based on hyperspectral …

Effect Of Nettle (Urtica Dioica L.) Seed Powder Supplementation On Some Important Quality Characteristics Of Cakes, Esra İrem Can, Kadi̇r Çebi̇

Turkish Journal of Agriculture and Forestry

The nutritional adjustment of food products has gained popularity in recent years as consumer interest in healthy eating has increased. Cake is a widely consumed cereal-based product containing such key nutrients as carbohydrate, fat, protein, fiber, vitamins, and minerals. In the present study, crust and crumb color, specific volume, microstructure, antimicrobial activity, total phenolic content, antioxidant activity, and sensory analyses were evaluated in four cake groups: a control cake (IT0) and cakes supplemented with 1% (IT1), 3% (IT2), and 5% (IT3) nettle seed powder. The addition of nettle seed powder to the cakes significantly reduced the crust (L*, a* and …

Mango Leaf Disease Detection And Classification Using A Federated Learning Based Lightweight Vision Transformer Model, Vinay Gautam, Prabhjot Kaur, Anand Muni̇ Mishra, Achyut Shankar, Laxman Singh

Turkish Journal of Agriculture and Forestry

The detection and management of horticultural crop diseases is crucial for enhancing productivity, reducing costs, and promoting environmentally sustainable practices. Recently, various techniques have been developed for managing crop-related issues, including leaf diseases and pest control. A centralized control approach has been implemented for disease detection. This centralized system faced significant challenges, including concerns over data privacy and the costs associated with data migration. This study addressed the problems with centralized solutions through a federated learning approach enhanced by the attention mechanism of the vision transformer (ViT). We investigated the key features of the federated learning method and propose a …

Effects Of Different Perfluoroalkyl Substances On Rice Morphology, Physiology, And Biochemistry, Maryam M. Alomran, Muhammad Aqeel, Noreen Khalid, Noreen Akhter, Muhammad Kashif Irshad, Suliman Mohammed Suliman Alghanem, Fahad Mohammed Alzuaibr, Saher Nawaz, Omar Mahmoud Alzoubi, Muhammad Usman Akbar, Ali Noman

Turkish Journal of Agriculture and Forestry

Perfluoroalkyl substances (PFASs) are synthetic organic compounds that have not been extensively studied in natural environments. The current study aimed to explore how PFASs, including perfluorooctane sulfonic acid (PFOS), perfluorobutane sulfonate (PFBS), perfluorohexanoate (PFHxA), perfluorotetradecanoate (PFTeDA), and perfluorobutanoate (PFBA), affect rice plants and influence their metabolism. These substances had a notable impact on root and shoot growth, reducing fresh and dry weights across various treatments compared to the control. These attributes were the least affected by PFOS treatment. PFBA treatment had significant adverse effects on chlorophyll a, b, and total chlorophyll levels, followed by the effects of PFHxA and PFTeDA. …

Exploring Bioactive Components Of Sugar Bean With Some Data Mining Algorithms: Relationships Between Antioxidants, Enzyme Inhibitors, And Minerals, İrem Ayran Çolak

Turkish Journal of Agriculture and Forestry

Sugar bean (Phaseolus vulgaris L.) is a legume of notable nutritional and functional value, and its genotypes have substantial variation in bioactive compounds, antioxidant activity, mineral composition, and enzyme inhibition properties. This study aimed to comprehensively evaluate the biochemical and functional diversity of 10 sugar bean genotypes using data mining algorithms to identify superior candidates for functional food and nutraceutical development. Associations between the phytochemical profiles of sugar bean genotypes and their bioactivity, antioxidant capacity, and enzyme inhibition were modeled with classification and regression trees (CART), random forests (RF), and multivariate adaptive regression splines (MARS), while one-way ANOVA quantified varietal …

A New Longidoridae Member, Xiphinema Brevicolle, From Citrus Orchards In Türkiye, Adem Özarslandan, Ayşenur Aslan, Lerzan Öztürk

Turkish Journal of Agriculture and Forestry

Individuals of the genus Xiphinema were recovered from soil samples collected during citrus surveys in south-eastern Türkiye. Morphological examination using light microscopy identified the species as X. brevicolle. The female individuals measured 2000–2050 μm in length, and displayed a slightly flattened lip region, an amphidelphic reproductive system with two well-developed branches, and a short conoid tail ending in a rounded tip. These morphometric and morphological features were consistent with those of previously described X. brevicolle specimens. For molecular confirmation, the D2–D3 segment of the 28S rDNA was amplified using the D2AD3B primer pair, and sequenced; the resulting sequence has been …

Effects Of Different Mixing Ratios Of Common Vetch And Oats On Forage Yield And Quality, Meli̇h Okcu, Sedat Severoğlu, İbrahi̇m Kavuncu

Turkish Journal of Agriculture and Forestry

This study investigates the optimal mixing ratios of common vetch (Vicia sativa L., CV) and oats (Avena sativa L., O) for enhanced forage yield and quality in the ecological conditions of Erzurum Province. The research was conducted over two growing seasons with three replications in a randomized complete block design (RCBD). Specifically, three common vetch cultivars (Gülhan, Albayrak, Kubilay) and one oat cultivar (Kupa) were evaluated by sowing as sole crops and in different ratios (25% vetch + 75% oat, 50% vetch + 50% oat, 75% vetch + 25% oat). The analyzed parameters included hay forage yield (HFY), dry matter …

Assessing Utah's Agricultural Producer And Small Processor Interest In Value-Added Food Production, Kynda R. Curtis, Makaylie Langford, Karin E. Allen, Ruby Ward

All Current Publications

In 2024, Utah State University researchers conducted a study of Utah agricultural producers and food processors interested in value-added food production. This fact sheet provides an overview of the study’s results on respondents’ operational details, including years in business, number of employees, and annual sales, as well as their interest in and rationale for expanding into value-added food production. It also discusses their current or planned timeframe for processing operation implementation, the types of products and markets involved, processing locations, and sales projections. Finally, it highlights the resources, tools, information, and services respondents identified as most useful for their processing …

The Loss Function Of Usda Forecasters: Evidence From Wasde Animal Product Price Forecasts, Chad Fiechter, Siddhartha S. Bora, Todd H. Kuethe

Department of Agricultural Economics Faculty Publications

The loss function is a mathematical representation of the costs experienced by a forecaster when observed outcomes differ from what was predicted. Prior studies suggest that USDA forecasts are not optimal based on an assumed mean-zero quadratic loss function. This study proposes an alternative view of forecast evaluation, which assumes all USDA forecasts are produced to minimize the forecasters’ costs, and searches for the dimensions of the loss function under which optimality holds. We illustrate the degree to which USDA loss functions vary across a series of WASDE price forecasts. A better understanding of USDA forecasters’ costs will benefit forecasters …

Developing A Tool To Measure Resistance To Sustainable Food Choices: A Pilot Study In Ireland And The Netherlands, Kate Flanagan, Bart Sinteur, Patricia J. Bulsing, John M. Kearney

SURE Journal: Science Undergraduate Research Experience Journal

Consumer uptake of a sustainable diet is critical for addressing environmental challenges and promoting public health. Understanding why consumers resist adopting sustainable eating habits can inform targeted interventions and policies. This pilot study examines whether a newly developed scale can effectively detect consumer resistance to a sustainable diet. Currently, there is a lack of research on a tool to measure consumer resistance to a sustainable diet, highlighting the need for a reliable instrument.

The aim of this study is to develop a scale, based on existing literature, to measure consumer resistance to a sustainable diet. Additionally, the study aims to …

Editorial-Sure Journal Volume 7, Issue 2, Geraldine M. Dowling, Eva Campion, Sinead Loughran, Ariane Perez-Gavilan, Josephine Treacy

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Agricultural Producer And Food Maker Food Processing Operation Needs Assessment Overview, Makaylie Langford, Kynda R. Curtis, Karin E. Allen, Ruby Ward

All Current Publications

In 2024, Utah State University conducted a study of Utah's farmers, ranchers, and food makers related to value-added food production and processing. This fact sheet provides an overview of the survey results related to respondents, their operations, products, and marketing outlets. It also discusses respondents’ familiarity with key regulatory and resource organizations, the types of products and business resources they find difficult to obtain or access, and the primary obstacles to their processing operations. These results can be used by Extension faculty, policymakers, agricultural organizations, and local economic development agencies to guide targeted support for Utah’s farmers, ranchers, and …