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Agriculture and Natural Resources

หน้าหลัก
ประเทศไทย
Bangkok
Agriculture and Natural Resources

Agriculture and Natural Resources is a peer reviewed international scientific journal, produced and

Aims and scope:
Agriculture and Natural Resources is a peer reviewed international scientific journal which publishes papers in the categories of review articles, research articles and short communications and technical notes from all areas related to biological science and agriculture. It covers original, previously unpublished research regarding any theories and practices that are related to ag

ricultural applications. Submitted articles will be examined by a scientific committee and anonymous evaluators and published every two months in HTML and PDF formats (January, March, May, July, September, and November). The following areas are covered in the Journal: Agriculture and Natural Resources Production and hosting by Elsevier on behalf of Kasetsart University
• Agricultural science
• Animal science and aquaculture
• Biodiversity and evolution
• Environment and ecology
• Food science
• Forestry
• Genetics and breeding
• Microbiology
• Plant science
• Soil science
• Veterinary science
• Agricultural applications in physical science, engineering and computational science

All manuscripts must be consistent with the Journal’s manuscript preparation requirements.

15/09/2025

🚨 New Research Alert! 🍊🌱
Efficacy of bio-composted agricultural wastes and biocontrol agents in improving soil fertility and controlling dry root rot in King mandarin (Citrus nobilis) orchards
Highlights:
🌾 Bio-fertilizers improved soil fertility (organic matter, pH, N, P, K)
🦠 Reduced Fusarium solani densities and suppressed DRR by up to 82.5%
🍊 Produced 3.5× higher fruit yield compared to conventional methods
🌱 Used rice straw composted with native fungal inoculants (Trichoderma asperellum & Gongronella butleri)
♻️ Sustainable, eco-friendly solution for soil health and disease control

📘 Article title: Efficacy of bio-composted agricultural wastes and biocontrol agents in improving soil fertility and controlling dry root rot in King mandarin (Citrus nobilis) orchards
📚 Journal: Agriculture and Natural Resources (formerly Kasetsart Journal: Natural Science)
🗂️ Volume 59, Issue 4, Jul–Aug 2025
📄 Article No.: 590403
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.4.03
👩‍🔬 Authors: Anh Thy Thi Chau, Ngoc Thanh Nguyen, Anh Thu Tat, Guong Thi Vo

15/09/2025

🚨 New Research Alert! 🍅🧫
Boosting Tomato Growth with Marine Yeasts 🌊🌱
Researchers discovered that two marine yeasts, Rhodotorula mucilaginosa DMKU 7233-1 and Papiliotrema laurentii DMKUFC10-4, produce high levels of indole-3-acetic acid (IAA), a key plant growth hormone. When applied to tomato seeds, these yeasts significantly improved germination rates and enhanced seedling growth—especially stem development.

📘 Article title: Characterization of indole-3-acetic acid-producing marine yeasts and their effect on tomato (Solanum lycopersicum L.) seedlings
📚 Journal: Agriculture and Natural Resources (formerly Kasetsart Journal: Natural Science)
🗂️ Volume 59, Issue 4, Jul–Aug 2025
📄 Article No.: 590413
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: https://kasetsartjournal.ku.ac.th/abstractShow.aspx?param=YXJ0aWNsZUlEPTg2OTN8bWVkaWFJRD05Mzk1&from=4

🔍 Highlights:
• 🧪 49 marine yeast isolates screened for plant-beneficial traits
• 🌊 Two strains identified with strong IAA production: R. mucilaginosa & P. laurentii
• 🍯 Cultivation in sugarcane molasses + L-tryptophan boosted IAA yields (1,300+ mg/L and ~700 mg/L)
• 🌱 P. laurentii achieved 100% tomato seed germination
• 🍅 R. mucilaginosa promoted the most robust stem growth

✨ Key takeaway: Marine yeasts grown on low-cost substrates like sugarcane molasses could serve as eco-friendly bio-stimulants to sustainably boost crop productivity. 🌍🌾

15/09/2025

🚨 New Research Alert! 🌍💧
Tracking Future Droughts in Northeast Thailand
Climate change is reshaping rainfall and temperature across the Chi River Basin, one of Thailand’s drought-prone regions. Researchers analyzed two key meteorological drought indices—the Standardized Precipitation Index (SPI) and the Standardized Precipitation Evapotranspiration Index (SPEI)—to project future drought patterns under global climate scenarios.

📘 Article title: Assessing climate change impacts on meteorological drought indices for agricultural areas in Chi River Basin, Thailand: Comparative analysis of standardized precipitation index and standardized precipitation evapotranspiration index
📚 Journal: Agriculture and Natural Resources (formerly Kasetsart Journal: Natural Science)
🗂️ Volume 59, Issue 4, Jul–Aug 2025
📄 Article No.: 590403
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: https://kasetsartjournal.ku.ac.th/abstractShow.aspx?param=YXJ0aWNsZUlEPTg2OTF8bWVkaWFJRD05Mzkz&from=4

🔍 Highlights:
• 📊 SPI predicts alternating dry–wet–dry cycles through the 2020s to 2080s.
• 💦 SPEI suggests wetter conditions in the near future (2020s–2050s), turning drier towards the 2080s.
• 🔗Both indices strongly correlate (r = 0.86–0.97), but SPI responds faster to climate changes than SPEI.

✨ Key takeaway: By combining SPI and SPEI, researchers recommend a composite drought indicator for better monitoring—aligning with guidelines from the World Meteorological Organization. This approach offers a holistic way to predict and adapt to future drought risks in agriculture and water management.

15/09/2025

🚨 New Research Alert! 🐐💜
Purple power for healthier goats (and people!) ✨
Did you know that plants rich in anthocyanins—the natural pigments that give berries, grains, and purple flowers their vibrant color—not only benefit human health but also improve goat nutrition? 🌱💜

A recent study shows that adding anthocyanin-rich plants to goat diets:
✅ Boosts antioxidant activity and reduces oxidative stress
✅ Improves growth, meat quality, and milk composition
✅ Enhances levels of healthy polyunsaturated fatty acids
✅ Produces milk and meat with added functional health benefits for consumers
👉 Key insight: Using anthocyanin-rich plants in goat farming supports goat health, increases productivity, and creates more nutritious dairy and meat products — a sustainable win for both farmers and consumers! 🌍🥛🍖

📘 Article title: Anthocyanins in goat diets: A Review
📚 Journal: Agriculture and Natural Resources (formerly Kasetsart Journal: Natural Science)
🗂️ Volume 59, Issue 4, Jul–Aug 2025
📄 Article No.: 90402
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: https://kasetsartjournal.ku.ac.th/abstractShow.aspx?param=YXJ0aWNsZUlEPTg2ODJ8bWVkaWFJRD05Mzg0&from=4

19/08/2025

🚨 New Research Alert! 🌾🌦️
Optimizing drought and crop yield monitoring in Vietnam’s Srepok River basin 🇻🇳

Drought is a serious natural disaster that harms crop yields. This study identified the best meteorological drought and vegetation indices for monitoring drought and predicting yields of coffee and rice — key crops in the basin.

📘 Article title: Determining suitable meteorological drought and vegetation indices for monitoring drought and crop yield in Srepok River basin, Vietnam
📚 Journal: Agriculture and Natural Resources (formerly Kasetsart Journal: Natural Science)
🗂️ Volume 59, Issue 2, Mar–Apr 2025
📄 Article No.: 590209
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.2.09

🔍 Highlights:
• 🌦️ SPI outperformed EDI in linking drought to crop yields
• 🌱 VHI, TCI, VCI correlated well with meteorological drought indices
• 🕐 SPI6–VHI best for drought monitoring in dry season (Feb–May)
• ☕ SPI5 (9 months before harvest) effective for coffee yield forecasting
• 🍚 SPI5 (3 months before harvest) effective for rice yield forecasting

15/08/2025

🚨 New Research Alert! 🥚🔬
Non-destructive whole-egg freshness inspection! 🍳📸
This study develops a novel method to inspect egg freshness by analyzing yolk movement speed using image processing combined with traditional candle testing. Faster yolk movement indicates aging eggs, enabling full batch inspection without damage — promising for food manufacturing quality control.

📘 Article title: Non-destructive method for whole-egg freshness inspection in food manufacturing
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 1, Jan–Feb 2025
📄 Article No. 590105
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.1.05

🔍 Highlights:
🥚 Yolk movement speed increases as eggs age
📸 Image processing integrated with candle testing
⚙️ Enables full, non-destructive batch inspection
✅ Verified against benchmark methods
🏭 Suitable for food manufacturing integration

12/08/2025

🚨 New Research Alert! 🌾🦠
Bacteria fighting rice blast & cleaning pesticides! 🌱🛡️♻️
This study identifies 13 rhizosphere bacterial isolates with strong antagonistic effects against Pyricularia oryzae (rice blast disease), plus abilities to promote plant growth and degrade harmful organophosphate pesticides. These Bacillus and Brevibacillus species offer an eco-friendly, integrated solution for sustainable rice farming.

📘 Article title: Plant growth-promoting bacteria for biological control of Pyricularia oryzae causing rice blast disease and biodegradation of organophosphate pesticide
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 3, May–Jun 2025
📄 Article No. 590314
🔢 ISSN: 2452-316X (0075-5192)

🔍 Highlights:
🦠 13 bacterial isolates inhibit >90% rice blast fungus growth
🌿 Promote plant growth via IAA, nitrogen fixation, phosphate solubilization, & more
♻️ Efficient degradation of organophosphate pesticides
🧬 Identified as Bacillus and Brevibacillus species
🌾 Sustainable rice disease control and pesticide management

12/08/2025

🚨 New Research Alert! 🥩📸
Advanced image processing for beef quality! 🍖🔍
This study applies image processing software (IPS) to assess ribeye steak marbling, showing strong correlations with intramuscular fat (IMF) and carnosine content (CC). IPS also outperforms standard colorimetry in detecting muscle color variations, making it a promising tool for beef quality prediction and marbling evaluation in the meat industry.

📘 Article title: Application of image processing software for ribeye steak marbling assessment and its correlations with beef quality attributes
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 3, May–Jun 2025
📄 Article No. 590301
🔢 ISSN: 2452-316X (0075-5192)

🔍 Highlights:
📸 Image processing software (IPS) for marbling quantification
🥩 Strong correlation of fat area (FA) with intramuscular fat and carnosine content
🎨 Better muscle color assessment than traditional colorimetry
🔬 Applicable for beef quality prediction and marbling scale development
🐄 Tested on Wagyu, Angus, and crossbreeds

06/08/2025

🚨 New Research Alert! 🍄🏡
Fungi to the rescue for green building! 🌿🌡️🔇
This study explores the potential of grey oyster mushroom mycelium as a sustainable material for sound absorption and thermal insulation in hot and humid climates. Prototypes grown on agricultural waste — with NRC = 0.43 and k-value = 0.065 W/mK. Fire-retardant, eco-friendly, and made outside a lab! 🔥✅

📘 Article title: Potential of mushroom mycelia for sound absorption and thermal insulation in hot and humid climates
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 2, Mar–Apr 2025
📄 Article No. 590203
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.2.03

🔍 Highlights:
🍄 Developed mycelium-based panels from Pleurotus ostreatus
🌡️ Effective insulation with k-value = 0.065 W/mK
🔇 Sound absorption performance NRC = 0.43
🔥 Fire-retardant and eco-safe for construction use
♻️ Grown on agri-waste with minimal environmental control

04/08/2025

🚨 New Research Alert! 🌾🧪
Unveiling rice metabolism during growth stages with GC-MS profiling 🌿🔬
This study analyzed ethanol extracts of rice leaves (Oryza sativa) to explore metabolite changes at 3 and 5 weeks of growth. Using GC-MS, researchers identified dynamic shifts in chlorophyll degradation products—especially phytol and VOCs—revealing critical insights into rice physiology that could support future breeding for stress resilience and yield optimization 🌱📈

📘 Article title: Uncovering metabolite changes in rice leaves (Oryza sativa) during vegetative stages through GC-MS-based ethanolic extract analysis
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 3, May–June 2025
📄 Article No. 590312
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.3.12

🔍 Highlights:
🌿 Monitored metabolite shifts in IR50404 and Huyet Rong rice varieties
🧬 Phytol and DEHP were dominant compounds during vegetative stages
📉 Chlorophyll levels decreased significantly from week 3 to 5
🧪 GC-MS data supports proposed pathway for chlorophyll catabolism into phytol, vitamin E, and fatty acid derivatives

01/08/2025

🚨 New Research Alert! 🔥🌱
Turning agricultural waste into energy! ♻️⚙️
This study simulates and experiments with dry torrefaction of palm empty fruit bunch (PEFB) to produce biocoal—an energy-dense, sustainable alternative fuel. Using Aspen Plus, the research modeled optimal production conditions and evaluated economic feasibility. At 300°C, the process yielded over 56% char, proving PEFB a promising feedstock for biocoal energy 🌾💡

📘 Article title: Simulation and experimental study of biocoal production via dry torrefaction of palm empty fruit bunch (PEFB)
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 1, Jan–Feb 2025
📄 Article No. 590101
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.1.01

🔍 Highlights:
🌡️ Optimal torrefaction at 300°C gave 56.13% char yield
🔬 Simulation with Aspen Plus for energy and cost analysis
💰 Estimated capital investment: 20.38 M USD for 20-year operation
🌾 PEFB confirmed as a viable biomass for sustainable biocoal

30/07/2025

🚨 New Research Alert! 🌿📊
Detecting soybean disease severity with hyperspectral data and machine learning 🌈🧠
This study explored the use of hyperspectral reflectance data and Orange Data Mining software to classify the severity of frogeye leaf spot (FLS) in soybean. After applying filtering and feature selection techniques, a neural network model achieved a stunning 98.6% accuracy 🌟📈—proving the power of no-code visual programming for crop health monitoring.

📘 Article title: Exploring frogeye leaf spot disease severity in soybean through hyperspectral data analysis and machine learning with Orange data mining
📚 Journal: Agriculture and Natural Resources
🗂️ Volume 59, Issue 2, Mar–Apr 2025
📄 Article No. 590201
🔢 ISSN: 2452-316X (0075-5192)
📖 Read the full article: doi.org/10.34044/j.anres.2025.59.2.01

🔍 Highlights:
🌱 Used hyperspectral remote sensing for soybean disease detection
🧪 Applied Savitzky-Golay filter and ReliefF feature selection
🤖 Neural network reached 98.6% classification accuracy
🟧 Demonstrated effective use of Orange visual programming for ML

ที่อยู่

Kasetsart University Research And Development Institute (KURDI) Kasetsart University, 50 Ngam Wong Wan Road, Chatuchak
Bangkok
10900

เวลาทำการ

จันทร์	09:00 - 17:00
อังคาร	09:00 - 17:00
พุธ	09:00 - 16:00
พฤหัสบดี	09:00 - 16:00
ศุกร์	09:00 - 16:00

เว็บไซต์

http://anres.kasetsart.org/

แจ้งเตือน

รับทราบข่าวสารและโปรโมชั่นของ Agriculture and Natural Resourcesผ่านทางอีเมล์ของคุณ เราจะเก็บข้อมูลของคุณเป็นความลับ คุณสามารถกดยกเลิกการติดตามได้ตลอดเวลา