Chromosome‐scale genome assembly of Poa trivialis and population genomics reveal widespread gene flow in a cool‐season grass seed production system by Caio A. C. G. Brunharo, Christopher W. Benson, David R. Huff, Jesse R. Lasky

“…As a weed, it is an important contaminant of commercial cool‐season grass seed lots, resulting in widespread gene flow facilitated by human activities and causing significant economic losses to farmers. To better understand and manage infestations, we assembled and annotated a haploid genome of P. trivialis and studied troublesome field populations from Oregon, the largest cool‐season grass seed producing region in the United States. …”
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Genome-wide association study for charcoal rot resistance in soybean harvested in Kazakhstan by A. Zatybekov, S. Abugalieva, S. Didorenko, A. Rsaliyev, A. Maulenbay, C. Fang, Y. Turuspekov

“…Ultimately, deploying resistant cultivars may significantly reduce yield losses and enhance the sustainability of soybean production, benefiting farmers and ensuring a stable supply of this valuable crop.…”
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Unlocking the potential of rice straw: Sustainable utilization strategies for Bangladesh by Bidhan Nath, Md Moudud Ahmmed, Subrata Paul, Md Durrul Huda, Mohammad Afzal Hossain, Sharmin Islam

“…However, they have low utilization efficiency, with a significant portion being wasted, and are usually openly burned (cooking food/heating) by farmers, lost during collection, and discarded or directly burned in the field. …”
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Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models by RN Singh, P. Krishnan, C. Bharadwaj, Sonam Sah, B. Das

“…Abstract Crop health assessment and early yield predictions are highly crucial under biotic stress conditions for crop management and market planning by farmers and policy planners. The objective of this study was, therefore, to assess the impact of different levels of wilt disease on the biophysical parameters of chickpea and developing machine learning (ML) models for early yield prediction. …”
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SC-ResNeXt: A Regression Prediction Model for Nitrogen Content in Sugarcane Leaves by Zihao Lu, Cuimin Sun, Junyang Dou, Biao He, Muchen Zhou, Hui You

“…This approach offers an affordable technical solution for small farmers to optimize nitrogen management for sugarcane plants, potentially leading to yield improvements. …”
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Building resilience through improving groundwater management for sustainable agricultural intensification in African Sahel by L. Ciampi, H. J. Plumpton, H. Osbahr, R. J. Cornforth, Celia Petty

“…Abstract Background This paper examines the role of improved groundwater access and management in providing opportunities for sustainable agricultural intensification and building the resilience of community farmers in Southern Burkina Faso. The findings contribute to current debates about pathways of commercialisation and adaptation in the African Sahel, especially those seeking to find responses to managing the impacts of climate change and delivering on the Sustainable Development Goals. …”
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Determination of the area index of lettuce leaves with a monocular camera by Laimonas Kairiūkštis, Başak Yalçıner, Emre Özkul

“…This method offers valuable insights into monitoring lettuce growth and optimising harvesting schedules at different stages for lettuce farmers and agricultural researchers through non-intrusive imaging techniques. …”
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Pesticide pollution status in cocoa plantation soil by E. Atuanya, W. Aborisade

“…Government regulatory agencies are encouraged to vigorously embark in further monitoring and ensuring the safety compliance of farmers towards the use of pesticides in Nigeria farms.…”
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Assessing the Fodder Potentials of Drought-Tolerant Maize (Zea mays L.) Hybrids in West Africa by Tunde Amole, Adetayo Adekeye, Bazit Bakare, Silvestro Meseka, Wende Mengesha, Abebe Menkir

“…Ranking of the hybrids based on grain yield, DMY, CP, ME, and IVOMD showed that cluster subgroup A3 (M1124–24, M1527-7, 30F32, and M1427-6) and A4 (M1427-3, SC637, and M1627-11) exhibited the best potential traits and can therefore be recommended for commercial cultivation following adoption trials by farmers.…”
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Development and Performance Evaluation of a Poultry Bird Defeathering Machine by Olufemi Adeyemi Adetola

“…The machine is recommended to both small and medium-scale farmers and food processors due to its simplicity, cost-effectiveness, and improvement over the previous ones in terms of efficiency and capacity. …”
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Management of Nitrogen Through the Use of Leaf Color Chart (LCC) and Soil Plant Analysis Development (SPAD) or Chlorophyll Meter in Rice Under Irrigated Ecosystem by Debtanu Maiti, D. K. Das, Tanmoy Karak, Mahua Banerjee

“…A field experiment was conducted in a farmers field in the district of Nadia, West Bengal, India to study the management of N through leaf color chart (LCC) and soil plant analysis development (SPAD) or chlorophyll meter in rice (cv. …”
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Combined application of vermicompost and mineral K fertilizer improves root yield of sweet potato [Ipomoea batatas (L.) Lam] in Southern Ethiopia by Alemu Degwale, Geletaw Kebede, Ashenafi Woldeselassie, Fanuel Laekemariam

“…The high cost of mineral fertilizers, lack of credit, and delivery delays constrain crop production in the developing world like Ethiopia. Farmers apply little or no fertilizer to sweet potatoes leading to lower root yield (8 t ha−1) compared with 60 t ha−1 in research fields. …”
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Economy of Fertilizer Nitrogen through Organic Sources in Rain-Fed Rice-Legume Cropping Systems in West Bengal, India by A.M. Puste, S. Bandyopadhyay, D.K. Das

“…Field experiments were conducted at a farmers’ plot adjacent to the Regional Research Station, red and laterite zone, Sub-center Sekhampur (Birbhum district) of West Bengal, India, situated 23° 24' N latitude, 87° 24' E longitude, to study the effect of different bio- and organic sources of nutrients instead of total fertilizer N in terms of crop productivity in the sequence and building up of soil fertility. …”
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An assessment of the capacity and responsiveness of a national system to address the threat of invasive species: a systems approach by F. Williams, K. L. Constantine, A. A. Ali, T. W. Karanja, S. Kibet, E. K. Lingeera, G. Muthike, I. Rwomushana, J. Godwin, R. Day

“…Abstract Background Invasive species affect the social, economic and health aspects of many farmers and are known to cause major losses with considerable costs spent on management. …”
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DETERMINATIONS OF THE SOWING TIME OF GRASS PEA IN TEF- GRASS PEA RELAY INTERCROPPING SYSTEMS by Agegnehu Shibabaw, Bitwoded Derebe, Yechale Mengie, Oumer Beshir, Wudu Getahun, Alemayehu Assefa

“…Sole tef, sole grass pea, and farmers practice (grass pea after tef harvested) were included as a check. …”
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Impact of Controlled Environment Agriculture (CEA) in Nigeria, a Review of the Future of Farming in Africa by Mabel Adaeze Nwanojuo, Christian Kosisochukwu Anumudu, Helen Onyeaka

“…Furthermore, strategies such as hybridizing traditional and CEA practices and creating “pay-as-you-grow” financial models for CEA infrastructure can make the transition more viable for smallholder farmers, who dominate Nigeria’s agricultural sector.…”
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Investigating the impact of integrating land consolidation with agricultural mechanization on the technical, energy, and environmental dimensions of paddy production by Farshad Haghjooy Maklavani, Mohammad Gholami Parashkoohi, Davood Mohammad Zamani, Hamed Afshari

“…Additionally, the insights gained will provide valuable guidance for policymakers and farmers, promoting sustainable practices in paddy cultivation that support food security while minimizing negative environmental impacts. …”
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Incremental benefits from the increasing in the production of koi fish Cyprinus carpio var. koi culture by Iis Diatin, Dini F Nuristy, Ahmad Teduh, Muhammad Mujahid

“…Present research was performed using case study method on Pokdakan PBC Fish Farm (PPFF), koi fish farmers in Sukabumi. Financial analysis consisted of business analysis, investment criteria, and sensitivity. …”
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Automated system for calving time prediction and cattle classification utilizing trajectory data and movement features by Wai Hnin Eaindrar Mg, Thi Thi Zin, Pyke Tin, Masaru Aikawa, Kazuyuki Honkawa, Yoichiro Horii

“…By comparing three features derived from the trajectory tracking data for each point in a frame, we achieve 100%, 95%, 85% accuracy in classifying cattle as abnormal or normal and predict their calving times with a precision of within the next 6 h, within the next 9 h, within the next 8 h, respectively. Our system enables farmers to provide timely assistance, ensuring the health and safety of both the cow and the calf. …”
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CRISPR/Cas genome editing for cotton precision breeding: mechanisms, advances, and prospects by Vijay Sheri, Harikrishnan Mohan, Phanikanth Jogam, Anshu Alok, Gulab Khan Rohela, Baohong Zhang

“…Abstract Cotton (Gossypium hirsutum L.) is one of the most important global crops that supports the textile industry and provides a living for millions of farmers. The constantly increasing demand needs a significant rise in cotton production. …”
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