Welcome to the archives of the International Journal of Advances in Global Animal Husbandry and Farming Practices. Here you will find past issues of the journal, containing a wealth of research articles, reviews, and perspectives in the fields of animal husbandry and farming practices.
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Volume 2
Issue 2 JULY – DECEMBER 2025
Volume 2(Issue 2) JULY – DECEMBER 2025 Research Articles
Effects of climate-controlled housing on the milk production and welfare of high-yielding holstein friesian dairy cattle
Vol.2(2); Pages:1-9. Published on September 2025
Abstract
Heat stress has a large impact on both welfare and productivity of high-yielding dairy cow especially in areas where summer presents extreme conditions. In this study the influence of housing environment with climate control (over summer) on milk yield, feed intake and stress biomarker factors in HolsteinFriesian cows was tested on farm in eastern Europe. The 60 cows were categorized into two groups, with one group of them residing in the normal sheds and the other living in climate-controlled barns with automated ventilation and misting facilities. The milk production, rectal temperature, respiratory frequency and cortisol concentration were measured during a 90-day observation. In the climate-controlled barns, cows recorded 13.2% in the mean daily milk output (p<0.01), reduced stress biomarker, and better feed conversion efficiency. The results indicate that not only are climate-controlled housing systems potentially very beneficial towards improving productivity and welfare of the animals but particularly in areas vulnerable to heat waves. Already, investment in climateresilient systems of housing dairy cows may be very important in boosting the sustainability and productivity of dairy farming in the context of climate change.
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Reception of Insect Meal as a Sustainable Protein Food in Broiler Chicken: Result of the Growth Performance and Carcass Compositions
Vol.2(2); Pages:10-17. Published on October 2025
Abstract
With the rising demand in broiler products in the world, there is the need to find an alternative to conventional sources of proteins in broiler diets which is sustainable. The review assesses the effect of using defatted black soldier fly (Hermetia illucens) larvae meal as a partial substitute to soybean meal in diet of broiler chickens. They used 120 broiler chickens in 4 dietary treatments namely; 0 or control, 10, 20 and 30 percent inclusion of insect meals. Growth performance and carcass quality were used to determine the influence of insect meal supplementation in the diet, in terms of feed intake, weight gain, and feed conversion ratio (FCR) and carcass yield. Because of the improved FCR and lack of carcass trait reductions, the inclusion group consisting of 20 percent insect meal had the optimal performance-cost balance (p < 0.05). The 10% inclusion level was also found to have positive results but in lesser extent and the 30% inclusion group encountered reduced feed intake and weight gain thereby showing less returns at higher levels of inclusion. These discoveries favour the feasibility of insect meal as an environmentally friendly and nutritious nutritional ingredient with a venture potential to substitute the conventional feed of meat and the protein in commercial poultry farming.
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Soil carbon sequestration and Rotational Grazing: Effect on Forage Quality and Beef Productivity
Vol.2(2); Pages:18-24. Published on October 2025
Abstract
Rotational grazing has subsequently been identified as one of the measures to be taken to improve the productivity of the pasture and sequester carbon in the soil in grass-fed beef systems. They tested the 3-year effects of rotational grazing vs continuous grazing on the quality of forage, biomass production and soil carbon dynamics on the Chaco region in southern Brazil. The artificially established into the experimental plots where rotation of cattle was done in every 7-10 days and in the control area, there were uninterrupted grazing plans. Results demonstrated that there was a significant 12.4% increments in DM yield coupled with 9.7% augment in crude protein in rotational grazing compared to no grazing (p < 0.05). Moreover, the soil carbon units of 0- 30 cm improved at an annual rate of 0.56 t/ha/year when it was under rotational grazing management. This is an indication that rotational grazing upholds soil health by sequestering carbon besides increasing forage productivity hence it is a sustainable measure in beef production systems that can be said to be climate-smart. The research justifies the incorporation of rotational grazing in effective management of livestock systems with higher productivity and soil carbon sequestration in pasture-based livestock systems.
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The study of Reducing Antimicrobial Use in Small Ruminant Farming by Means of selective Metaphylaxis and Farmer-Training in Semi-Arid Areas
Vol.2(2); Pages:25-32. Published on November 2025
Abstract
Inappropriate use of antimicrobials in small ruminant production has increasingly considering it one of the leading causes of the increasing global menace of antimicrobial resistance (AMR). The objectives of the study were to ensure that there was decreased usage of antimicrobials in the goat and sheep production in northern Namibia through application of specific metaphylactic procedures and education of farmers. These farms included 40 farms and were randomly sorted to form two groups; one receiving intervention training (on selective antimicrobial use and metaphylaxis practices) and the other group (the seamless practice). The survey was done within a span of 6 months of lambing in which the treatment frequency, clinical recovering, and morbidity rates were observed. The findings revealed that the intervention group decreased the antimicrobial therapies by 41 percent, which did not jeopardize the clinical recovery or the animal health outcome (p < 0.01). Also, the adherence to the metaphylaxis schedules was enhanced by the training particularly by the farmers. This paper highlights the need of incorporating education and disease management intervention to propagate the responsibility of antimicrobials usage in small ruminants farming systems within resource-constrained environments. These results show the possibility of metaphylaxis as well as farmer education in decreasing the overuse of antimicrobials and fighting the AMR in the small ruminants systems located in the semi-arid regions.
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Genomic Selection of Heat Tolerant Traits in Tropical Dairy Cattle: A Cross Breed Genome Wide Association Study
Vol.2(2); Pages:33-40. Published on November 2025
Abstract
The effect of climate stress on the productivity of dairy cattle is huge particularly in tropic areas, whereby, due to high heat levels and humidity, heat stress is worsened leading to low production due to milk loss. The objective of the study was to determine genetic markers that showed relationship with heat tolerance traits in the population of crossbred Holstein x Zebu, through genome wide association study (GWAS). The data were derived through phenotypic data of 480 animals in three tropical breeding centers with the effect of decreased rectal temperature, respiration rate and milk yield during thermal stress. The genotypes were done using a 50K SNP panel, and several loci were placed on chromosomes BTA6, BTA14, and BTA20 and were significantly associated (p < 0.0001). Among genes proposed in the study there were such candidates as HSP70, ATP1A1, and SLC24A5 that are related to thermoregulation and stress response. These results indicate the promise of genomic selection in dairy cattle establishment in the tropics to create climatic adaptation. The findings demonstrate how genomic technology can be included in the national breeding programs to improve heat tolerance and increase productivity under thermal stress in the tropical dairy systems.
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Issue 1 JANUARY- JUNE 2025
Volume 2(Issue 1) JANUARY- JUNE 2025 Research Articles
Innovations in AgriTech: Revolutionizing Agriculture for a Sustainable Future
Vol.2(1); Pages:1-7. Published on May 2025
Abstract
This chapter explores the revolutionary impact of AgriTech innovations in contemporary agriculture, demonstrating how state-of-the-art technologies are reshaping conventional farming methodologies. It begins by defining AgriTech and tracing its historical development, underscoring its indispensable role in modern agricultural landscapes. The discussion extends to pivotal breakthroughs such as precision agriculture, unmanned aerial vehicles (UAVs), robotic automation, intelligent irrigation, and biotechnological advancements, illustrating their contributions to boosting efficiency, productivity, and ecological sustainability. Moreover, the chapter emphasizes the significance of data-driven agriculture, shedding light on the role of artificial intelligence (AI), machine learning, and big data analytics in predictive farming and informed decision-making. The socio-economic impact of AgriTech is examined, highlighting its capacity to elevate profitability, stimulate rural economic development, and generate employment opportunities. The chapter also anticipates emerging technologies, including vertical farming, blockchain integration, and AI-driven agricultural solutions, offering a visionary perspective on the future of farming and global food security. Key barriers to AgriTech implementation, including technical, infrastructural, and regulatory challenges, are also addressed alongside strategies for widespread adoption. Ultimately, this chapter underscores the transformative power of AgriTech in fostering sustainable, resilient, and high-efficiency farming practices for the years ahead.
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Enhancing Precision Farming for Sustainable Food Production via GIS-Driven Agriculture
Vol.2(1); Pages:8-14. Published on May 2025
Abstract
Modern agriculture progresses through precision farming and sustainable agricultural practices because of Geographic Information System implementation. The research evaluates how GIS transforms farm optimization procedures through its utilization of spatial analysis together with real-time data unification and geographic mapping methods. By implementing GIS programs farmers acquire systematic tools to study ground conditions and evaluate plant health and climate observations for deploying precise approaches which results in better yields and diminished environmental deterioration. The primary benefit of GIS technology exists in its capability to advance crop management through real-time system monitoring as well as precisisone-based resource application and early disease detection. GIS creates effective resource distribution possibilities through ground-based observations which lead to both water-saving strategies and optimal soil protection results by finding appropriate watering zones and establishing sustainable land operation plans. The analysis demonstrates how GIS technology helps farmers predict and counter climate change through analysis of historical climate patterns with predictive models. Precision livestock farming advances when GIS becomes part of the operation because it leads to better monitoring of grazing patterns and optimization of feed delivery and more efficient animal welfare practices. GIS technology development will continue toward resolving global food security problems while maintaining environmental stability and economic profitability.
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AI in Agriculture: Using Precision Technology to Improve Crop Monitoring and Disease Management
Vol.2(1); Pages:15-22. Published on May 2025
Abstract
Technology advancement in agriculture uses artificial intelligence for crop surveillance alongside disease control through precision farming methods. Toxicology in traditional farms often faces delayed disease detection while using resources poorly and needing significant labor involvement. Modern agricultural systems powered by AI employ machine learning together with computer vision along with IoT sensors and drone surveillance to conduct instant crop status assessments detect diseases at early stages and operate resources efficiently. Through AI technologies farmers can enhance their decision quality while minimizing fertilizers and fluids use thus obtaining higher output rates with practices that protect both the environment and sustainability. The adoption of AI technology in agriculture expands in commercial agricultural sectors though high implementation expenses and difficulty accessing this technology and technical challenges remain. Have you ever heard about predictive analytic methods working together with automated pest control alongside smart irrigation systems under the guidance of AI? Well, these aspects represent a powerful combination that could totally reshape contemporary farming operations while guaranteeing ecological sustainability and enhanced productivity.
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Transforming Telangana’s Agriculture with AI-Powered Smart Farming and Precision Technologies
Vol.2(1); Pages:23-28. Published on May 2025
Abstract
The state of Telangana experiences meaningful agricultural changes through the implementation of Artificial Intelligence (AI) regimens for precision and smart farming systems. The change brings intended benefits that improve production outputs while reducing resource expenses and weather-related farming problems. Advanced farming solutions based on AI technology now guide farming operations through predictive analytics and machine learning and internet of things-based monitoring systems and automated decision-making capabilities. Farmers now achieve better results through their data-driven farm management thanks to precise agricultural tools which include soil health assessments and satellite observations and drone tracking methods. Electronic irrigation systems working alongside artificial intelligence-controlled pest solutions and advisory programs contribute significantly to enhancing operational farming effectiveness. Through analysis this paper examines AI-based technological advancements in Telangana agricultural sector together with their advantages and disadvantages while assessing the potential of a tech-driven agricultural system.
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A Sustainable Approach to Agriculture and Worldwide Food Security: Organic Farming
Vol.2(1); Pages:29-36. Published on May 2025
Abstract
Organic farming is an environmentally sustainable agricultural practice that eliminates synthetic fertilizers, pesticides, and genetically modified organisms (GMOs) in favor of natural inputs, crop rotation, and biological pest control. This approach enhances soil health, conserves biodiversity, and promotes ecological balance while ensuring food security and long-term sustainability. As global concerns over environmental degradation and food safety grow, organic farming has gained significant attention worldwide. The method not only improves soil fertility and reduces pollution but also provides economic benefits to farmers through premium pricing and government support. Despite challenges such as lower initial yields and high labor costs, organic farming remains a viable solution for sustainable agriculture. By integrating traditional wisdom with modern ecological techniques, organic farming can address global food security challenges while mitigating climate change and promoting human health.
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Volume 1
Issue 2 JULY – DECEMBER 2024
Research Articles Volume 1 (Issue 2) JULY – DECEMBER 2024
Enhancing Farm Biosecurity: Key Measures and Securing Global Biosecurity Amid Complexity
Vol.1(2); Pages:1-8. Published on July 2024
Abstract
Farm biosecurity is essential for safeguarding agricultural systems against various threats, including diseases, pests, and unauthorized access. This paper explores key measures to enhance farm biosecurity and discusses the broader context of global biosecurity within a dynamic and complex world. By examining the challenges and strategies required for effective implementation, it aims to contribute to the protection of agricultural systems and global food security.
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Exploring Traditional Agriculture: Alternative Practices for Effective Climate Change Mitigation
Vol.1(2); Pages:9-16. Published on July 2024
Abstract
This paper investigates the role of traditional agricultural practices in climate change mitigation, offering an alternative perspective to modern farming techniques that often emphasize technological and chemical inputs. Traditional agriculture, encompassing a variety of indigenous and time-tested farming methods, has the potential to contribute significantly to the reduction of greenhouse gas emissions and enhance the resilience of agricultural systems to climate variability. This study synthesizes evidence from diverse agricultural systems worldwide to highlight how practices such as agroforestry, crop rotation, and the use of organic manures not only sustain high levels of biodiversity but also improve soil health and carbon sequestration. Additionally, this paper discusses the socio-economic benefits of traditional agriculture, including the preservation of local knowledge and the promotion of community self-reliance.By reevaluating the ecological and cultural importance of traditional agricultural practices, this research aims to contribute to the global discourse on sustainable agriculture and climate change adaptation strategies.
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Exploring Synchrony in the Nitrogen Economy of Perennial Cereal-Legume Intercropping for Enhanced Productivity
Vol.1(2); Pages:17-26. Published on October 2024
Abstract
Perennial cereal-legume intercropping systems offer a sustainable alternative to conventional agriculture by improving soil fertility and enhancing ecosystem services, particularly through the management of nitrogen (N) cycling. This system leverages the symbiotic nitrogen fixation capability of legumes and the complementary nitrogen uptake of cereals, providing a dynamic approach to minimizing synthetic nitrogen inputs and optimizing productivity. However, achieving synchrony between nitrogen supply and plant demand remains a key challenge in such systems. Synchrony is critical for minimizing nitrogen losses through leaching, denitrification, or volatilization, while maximizing crop yield and biomass accumulation.This study investigates the nitrogen economy in a perennial cereal-legume intercrop, focusing on how nitrogen fixation, mineralization, and uptake patterns are aligned with plant growth stages. By examining various intercrop configurations, seasonal variations, and management practices, we aim to identify strategies that enhance nitrogen synchrony. The research highlights the potential for greater productivity, improved nitrogen use efficiency, and reduced environmental impact through synchronized nutrient management. Furthermore, this study explores the role of root architecture, microbial interactions, and soil organic matter in modulating nitrogen dynamics. Achieving synchrony could not only improve cereal and legume productivity but also contribute to long-term soil health and agricultural sustainability.
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Identifying Obstacles and Ranking Biological Control Research Priorities for Managing Key Pests in European Arable, Vegetable, and Perennial Crops
Vol.1(2); Pages:27-34. Published on November 2024
Abstract
Effective pest management is crucial for sustainable agriculture, particularly in Europe, where economic pressures and environmental considerations are driving the need for innovative solutions. This study aims to identify the primary obstacles facing biological control research and its implementation in managing economically significant pests in arable, vegetable, and perennial crops across Europe. Through a comprehensive review of existing literature, stakeholder interviews, and surveys of researchers and practitioners, we will rank the common research priorities in biological control. Key obstacles identified include regulatory challenges, limited funding, knowledge gaps regarding pest ecology and biocontrol agent efficacy, and the need for greater collaboration between researchers, policymakers, and farmers. By ranking research priorities, this study seeks to guide future research initiatives, facilitate the development of effective biological control strategies, and enhance pest management practices. Ultimately, the findings aim to contribute to the sustainability of European agriculture, ensuring food security while minimizing environmental impacts.
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Impact of Mechanical Termination on Soil Structure and Carbon Dynamics in Perennial Grain Crops
Vol.1(2); Pages:35-42. Published on November 2024
Abstract
Mechanical termination of perennial grain crops is a crucial agricultural practice that can influence soil structure and carbon dynamics, impacting soil health and sustainability. This method, involving the physical killing of crops to manage biomass and promote soil conservation, can lead to a range of effects on soil properties. This study examines the impact of mechanical termination on soil structure by evaluating changes in soil compaction, porosity, and aggregate stability. Additionally, the effects on soil carbon dynamics, including organic matter decomposition, carbon sequestration, and microbial activity, are analyzed. The findings suggest that mechanical termination can enhance soil structure by reducing compaction and improving porosity, which in turn facilitates better root growth and water infiltration. Moreover, the practice can promote carbon retention in the soil, contributing to overall soil fertility and ecosystem sustainability. This research highlights the potential benefits of integrating mechanical termination into perennial grain cropping systems, emphasizing the need for adaptive management strategies to optimize soil health while maintaining crop productivity.
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Issue 1 JANUARY – JUNE 2024
Research Articles Volume 1 (Issue 1) JANUARY – JUNE 2024
A Scientometric Analysis of Precision Livestock Farming Research Worldwide
Vol.1(1); Pages:1-6. Published on June 2024
Abstract
This scientometric analysis provides a comprehensive overview of research trends and developments in precision livestock farming (PLF) on a global scale. Leveraging bibliometric data and advanced analytical techniques, the study examines the growth, distribution, and impact of PLF research across different geographic regions, publication types, and thematic areas. Key findings shed light on emerging trends, influential research themes, collaborative networks, and future directions in PLF research. By synthesizing and visualizing the scholarly landscape of PLF, this study offers valuable insights for researchers, policymakers, and industry stakeholders seeking to advance innovation and sustainability in animal husbandry practices.
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Advancements in Animal Care Developing and Implementing an Automated System Software
Vol.1(1); Pages:7-11. Published on June 2024
Abstract
This paper explores the development and implementation of an automated system software tailored for animal care, marking a significant advancement in the field. The transition to automation in animal care management systems has been driven by the need for more efficient, precise, and reliable care solutions that ensure the welfare of animals and ease the burden on caretakers. This study details the software development lifecycle, from conception through to deployment, including the challenges faced and solutions applied throughout the process. The system integrates various functionalities such as health monitoring, environmental control, and feed management through a centralized platform that utilizes data analytics to enhance decision-making processes. The effectiveness of the automated system is evaluated based on its impact on operational efficiency, accuracy in health assessments, and overall improvements in animal welfare standards.
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Big Data in Agriculture: Enhancing Smart Farming and Poultry Production
Vol.1(1); Pages:12-18. Published on June 2024
Abstract
The integration of big data analytics into agriculture, particularly in smart farming and poultry production, represents a transformative shift towards more efficient and sustainable practices. This paper discusses the pivotal role of big data in optimizing farming operations, improving poultry management, and driving agricultural innovation. By harnessing data from various sources, such as sensors, drones, and IoT devices, farmers and agricultural professionals can achieve enhanced crop yields, better disease management, and more precise resource allocation. The paper also examines the challenges associated with implementing big data solutions, including data management, privacy concerns, and the need for robust analytical tools.
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Blockchain in Agriculture Transforming Supply Chains
Vol.1(1); Pages:19-24. Published on June 2024
Abstract
Blockchain technology has emerged as a promising solution for transforming supply chains in the agriculture sector. This paper explores the application of blockchain in agriculture and its role in revolutionizing supply chain management. By providing transparent and immutable records of transactions, blockchain enhances trust and traceability throughout the agricultural supply chain, from farm to table. This study examines various use cases of blockchain in agriculture, including product authentication, provenance tracking, and quality assurance. Additionally, it discusses the challenges and opportunities associated with implementing blockchain technology in the agricultural industry. Through an analysis of current trends and developments, this paper aims to provide insights into the potential impact of blockchain on improving efficiency, transparency, and sustainability in agricultural supply chains.
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Challenges in Securing Data for Digital Management of Animal Husbandry Processes
Vol.1(1); Pages:25-34. Published on June 2024
Abstract
This paper addresses the challenges associated with ensuring data security in the digital management of animal husbandry processes. With the increasing adoption of digital technologies in agriculture, including livestock farming, concerns about the confidentiality, integrity, and availability of data have become paramount. This study explores the various threats to data security in animal husbandry systems, such as unauthorized access, data breaches, and cyberattacks. Additionally, it discusses the potential consequences of data security breaches in terms of financial losses, reputational damage, and compromised animal welfare. The paper also examines existing strategies and technologies for mitigating these challenges and proposes recommendations for enhancing data security in digital animal husbandry management systems.
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