农学最新文献

{"title":"Current trends and future directions in avocado oil research: An overview and a bibliometric analysis across two time points","authors":"David Fernando ,&nbsp;Prajona Marbun ,&nbsp;Agustina Ari Murti Budi Hastuti ,&nbsp;Abdul Rohman","doi":"10.1016/j.ocsci.2025.02.003","DOIUrl":"10.1016/j.ocsci.2025.02.003","url":null,"abstract":"<div><div>Avocados, including the peels and seeds, have beneficial nutritional value and can be processed into oils. To understand the trends and promote the use of avocado waste, it is essential to ascertain the scientific contributions, productivity, quality, and gaps in the avocado oil research field. This research identifies the changes in the research trend over the last ten years compared to previous studies. Additionally, this study examines and summarizes the research question, significant study findings, and future directions for avocado oil research through an overview format. Results show that the market for avocado oil has been growing, received greater attention, and been extensively studied in the last 10 ​years ​as opposed to the preceding century. There is more collaborative research on this topic globally from 2014 to 2023 than from 1928 to 2013. The direction of avocado oil research has not changed significantly; rather, it has expanded from the foundational studies and become more focused. Surprisingly, recent advancements indicate a notable increase in the research topic of avocado oil adulteration, implying that such practices have become more prevalent in the last decade compared to earlier periods. Though research hotspots noted that avocado oil is still being tested on animals, such as rats, the use of avocado oil for cosmetic purposes was not emphasized till 1928–2013. Other persisting hotspots include avocado being tried for antioxidant or oxidative stress prevention, insulin resistance prevention, extraction, compositional analysis, and avocado oils being compared alongside other oils.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 1","pages":"Pages 25-43"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gillnet colour affects catch efficiency in pearlspot (Etroplus suratensis) tropical estuary fishery","authors":"Kristine Cerbule ,&nbsp;V.R. Madhu ,&nbsp;Salini Mohanan ,&nbsp;Bent Herrmann","doi":"10.1016/j.aaf.2023.09.002","DOIUrl":"10.1016/j.aaf.2023.09.002","url":null,"abstract":"<div><div>Gillnets are one of the most commonly used fishing gears in both marine and inland waters. Different colour filament nettings are often used in gillnets. However, the effect of gillnet colour on catch efficiency is unclear for most fisheries. Therefore, in this study we investigated the effect of gillnet colour on the catch efficiency in pearlspot (<em>Etroplus suratensis</em>) fishery in Vembanad lake, India. Gillnet colours tested were transparent, green and blue. Results showed that in this fishery, the catch efficiency of gillnets of the three colours tested differed significantly. The highest catch efficiency of pearlspot was shown by green gillnets compared to transparent or blue netting. Specifically, green gillnets on average were estimated to be 74% more efficient compared to transparent gillnets. For the green compared to the blue gillnets, the catch efficiency was estimated to be higher by 81%. These results demonstrate that gillnet colour can be an important factor significantly affecting the catch efficiency of this fishing gear.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 321-329"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135963364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age, growth and length-to-weight relationship of largehead hairtail (Trichiurus lepturus) in south-eastern Australia suggest a distinct population","authors":"Chantelle Clain ,&nbsp;John Stewart ,&nbsp;Ashley Fowler ,&nbsp;Sandra Diamond","doi":"10.1016/j.aaf.2023.08.005","DOIUrl":"10.1016/j.aaf.2023.08.005","url":null,"abstract":"<div><div>The age, growth rates and length to weight relationships for the south-eastern Australian population of largehead hairtail (<em>Trichiurus lepturus</em>) were investigated for the first time. Age was estimated by counting annuli in sectioned sagittal otoliths, with a maximum age of 8 years estimated for males and females. We found no significant differences in the growth rates of males and females over the size (12–78 cm pre-anal length (PL)) and age (0–8 years) ranges sampled. However, females in our collection were larger on average than males, and all fish sampled &gt;60 cm PL were female, suggesting that females may grow to larger sizes than males and that sampling of greater numbers of larger and older fish may be required in future. <em>T. lepturus</em> growth was described by the von Bertalanffy growth function parameters L_∝ = 74.89 cm PL, K = 0.13yr⁻¹ and t0 = −0.80 yr, with the L_∝ being amongst the largest reported for the species. Growth was variable, with the sizes at any given age spanning up to 50 cm PL. Female <em>T. lepturus</em> increased in body weight relative to length faster than males, as has been reported in other populations. The length/weight relationship for the south-eastern Australian population was significantly different, with almost no overlap, from that reported for <em>T. lepturus</em> in the Arabian Sea. The substantial differences in growth rates, maximum sizes and body morphometrics of <em>T. lepturus</em> from south-eastern Australia in comparison to other populations globally are consistent with the hypotheses that it represents a distinct population, although investigations using additional population markers are required to verify this.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 305-311"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135427647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Developing predictive growth models for Asian seabass using four generations of data","authors":"Joey Wong ,&nbsp;Yi Xuan Tay ,&nbsp;Genhua Yue","doi":"10.1016/j.aaf.2023.08.010","DOIUrl":"10.1016/j.aaf.2023.08.010","url":null,"abstract":"<div><div>Growth is an important trait in aquaculture breeding programs and production. Cost-effective and precise measurement of growth traits provides valuable information for growth monitoring, feed management, stocking density, size grading, and health management. However, in aquaculture species, precise measurement of growth traits is challenging. Predictive growth models based on large data sets have the potential to tackle this challenge. Here, we developed predictive growth models for the analysis of growth parameters for the Asian seabass using the dataset from four separate generations (F₁-F₄), aged between 90- and 768-days post-hatch (dph) in a 20-year selective breeding program. To analyze the length-weight relationship of the fish, the equation <span><math><mrow><mi>W</mi><mo>=</mo><mi>a</mi><msup><mi>L</mi><mi>b</mi></msup></mrow></math></span> was used to estimate the parameters <span><math><mrow><mi>a</mi></mrow></math></span> and <span><math><mrow><mi>b</mi></mrow></math></span>. Our results showed that there were high positive correlations between body length and weight in each generation. In addition, to explore the relationships between body weight and ages, for each generation of fish, we fitted two different models: the von Bertalanffy Growth Function (VBGF) and the Gompertz model to analyze the Age-Weight Relationship (AWR). Out of the two, the VBGF, showed a higher goodness of fit. These developed predictive growth models, in combination with digital imaging, will reduce the cost and time for measuring growth traits for breeding programs of Asian seabass, and the effective management of commercial production.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 253-259"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136009414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Society 5.0 enabled agriculture: Drivers, enabling technologies, architectures, opportunities, and challenges","authors":"Kossi Dodzi Bissadu,&nbsp;Salleh Sonko,&nbsp;Gahangir Hossain","doi":"10.1016/j.inpa.2024.04.003","DOIUrl":"10.1016/j.inpa.2024.04.003","url":null,"abstract":"<div><div>The existing agriculture practices faced many challenges and fail to address some of the most critical needs of the growing population. Food insecurity, high initial cost of smart farming, severe farm labor shortage worldwide, economic, social, and political crises related to famines, poverty, climate change, and the technology focus of Agriculture 4.0 calls for rethinking the agriculture paradigm. Moreover, the idea of Society 5.0 promoted by Japanese government triggered many position reactions from policymakers, governments, private institutions, academicians, and researchers. The idea of human centered society where individuals live their lives to the fullest with shared vision of happiness, social harmony, sustainability, and resilience recently caught scholars’ attention. Several researchers investigated the society 5.0 and its critical components including Agriculture 5.0. Agriculture 5.0 not only could be leveraged to address many existing issues, but could become a major driving force for achieving Society 5.0’s goals. This paper follows a systematic literature review approach to investigate the major drivers, enabling cutting-edge technologies, various opportunities and challenges for developing, adopting, and implementation Agriculture 5.0. It also highlighted the overall and holistic architectural framework based on 12 layers of Agriculture 5.0 paradigm. Though Agriculture 5.0 is promising with many opportunities, such as creating new job opportunities for young generations, and boosting mass customization, it will face many potential challenges. Some challenges include cybersecurity and privacy issues, difficulties for an effective legal, regulatory and compliance system due to high automation and mass personalization, standardization issues, and adapting agricultural production strategies and models to constantly changing customer preferences.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 112-124"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140777764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molecular mechanism of Mfn2 alleviating endoplasmic reticulum stress and inhibiting apoptosis of sheep follicular granulosa cells.","authors":"Gulimire Abudureyimu, Ying Chen, Shuhong Tang, Hong Dong, Liqin Wang, Yangsheng Wu, Juncheng Huang, Jiapeng Lin","doi":"10.16288/j.yczz.24-247","DOIUrl":"10.16288/j.yczz.24-247","url":null,"abstract":"<p><p>Follicle development is a crucial step in mammalian reproductive processes, the specific role of Mfn2 in regulating mitochondrial function and endoplasmic reticulum stress in this process is still unclear, this study aimed to investigate the role of Mfn2 in the follicular development of adult sheep. Large, medium, and small follicles were collected, and granulosa cells (GCs) were isolated from large follicles. The expression levels of Mfn2 in different follicles were detected using qRT-PCR and Western blot, and the localization of Mfn2 in follicles was determined through immunofluorescence. Additionally, the expression levels of the mitochondrial autophagy-related protein Pink1, endoplasmic reticulum stress proteins (Grp78, Perk, Chop), and apoptosis-related proteins (Bcl2 and BAX) were detected. Furthermore, siRNAs were transfected into GCs to knock down Mfn2 expression, and changes in intracellular Ca²⁺ accumulation and mitochondrial membrane potential were evaluated, along with the expression levels of the aforementioned proteins. The results showed that Mfn2 expression was significantly higher in large follicles compared to small follicles and was primarily localized in GCs. Compared to small follicles, the expression levels of Pink1, Grp78, Perk, Chop, and BAX were significantly lower in large follicles, while Bcl2 expression was significantly increased (<i>P</i><0.01). After Mfn2 knockdown, intracellular Ca²⁺ levels and mitochondrial membrane potential were significantly reduced, while the expression levels of Pink1, Grp78, Perk, Chop, and BAX were significantly increased, and Bcl2 expression was significantly decreased (<i>P</i><0.01). Mfn2 may influence cell apoptosis during sheep follicular development by regulating mitochondrial function and endoplasmic reticulum stress.</p>","PeriodicalId":35536,"journal":{"name":"遗传","volume":"47 3","pages":"342-350"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143606555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Few-shot cow identification via meta-learning","authors":"Xingshi Xu,&nbsp;Yunfei Wang,&nbsp;Yuying Shang,&nbsp;Guangyuan Yang,&nbsp;Zhixin Hua,&nbsp;Zheng Wang,&nbsp;Huaibo Song","doi":"10.1016/j.inpa.2024.04.001","DOIUrl":"10.1016/j.inpa.2024.04.001","url":null,"abstract":"<div><div>Cow identification is a prerequisite for precision livestock farming. Biometric-based methods have made significant progress in cow identification. However, substantial labelling costs and frequent identification task changes are still hamper model application. In this work, a novel method called “MFCI” was proposed to achieve accurate cow identification under few-shot and task-changing conditions. Specifically, the proposed method comprises two components: cow location and cow identification. First, an improved YOLOv5n with Ghost module was adopted to quickly detect cow locations in images. Then, the Model-Agnostic Meta-Learning (MAML) framework was introduced for accurate identification under few-shot conditions and for fast adaptation to frequent changes in individual cows. Moreover, an autoencoder was adopted to allow Base-Learner learn more generalized features by combining both supervised and unsupervised approaches. The experimental results showed that the proposed cow location model achieved a mAP of 99.5 %. The proposed cow identification model attained an accuracy of 90.43 % with only five samples per cow for 20 cows, outperforming other state-of-the-art methods. The results demonstrate the broad applicability and significant value of the proposed method.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 80-90"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140767863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of marine small-scale fisheries in Togo: An examination of the efficiency of fishermen at the new fishing port of Lomé and the necessity of fisheries co-management","authors":"Kodjo N'Souvi ,&nbsp;Chen Sun ,&nbsp;Yussuan Manuel Rivero Rivero","doi":"10.1016/j.aaf.2023.07.009","DOIUrl":"10.1016/j.aaf.2023.07.009","url":null,"abstract":"<div><div>Small-scale fisheries play a crucial role in providing fish protein for both consumers and coastal communities in Togo. However, the fishermen's revenue is relatively low compared to their expectations. Assessing changes in the technical efficiency is crucial for decision-making, particularly in light of the depletion of natural resources and the need for structural improvements. This study examines the technical efficiency of small-scale fishermen at the new fishing port in Lomé. The primary data were collected through a cross-sectional survey of 82 randomly selected fishermen. The data were analyzed using descriptive method. Subsequently, a Stochastic Frontier Analysis (SFA) was employed to identify the factors contributing to the inefficiency of these small-scale fishermen. The results indicate that only two variables, namely the fishing hours per month and boat ownership (being a skipper), have a statistically significant positive impact on the fishermen's monthly income. The inefficiency model derived from the SFA regression showed that fishery subsidies and cooperative membership positively influence technical efficiency, whereas the duration of fishing trip (number of days at sea and number of trips per month) and boat length negatively influence efficiency. Overall, the results suggest that the government should review fishery subsidy policies to enhance fishermen's technical efficiency while ensuring the sustainability of fisheries. Additionally, we identify another key area for potential policy interventions, which includes promoting and supporting cooperative membership among the fishermen. This could provide social support, an organizational structure for communication, co-management, and collective decision-making.</div></div>","PeriodicalId":36894,"journal":{"name":"Aquaculture and Fisheries","volume":"10 2","pages":"Pages 344-353"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72705681","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Innovative deep learning approach for cross-crop plant disease detection: A generalized method for identifying unhealthy leaves","authors":"Imane Bouacida ,&nbsp;Brahim Farou ,&nbsp;Lynda Djakhdjakha ,&nbsp;Hamid Seridi ,&nbsp;Muhammet Kurulay","doi":"10.1016/j.inpa.2024.03.002","DOIUrl":"10.1016/j.inpa.2024.03.002","url":null,"abstract":"<div><div>One of the most serious threats to global food security is plant diseases compromising agricultural productivity and threatening the livelihoods of millions. These diseases can decimate crops, disrupt food supply chains, and escalate the risk of food shortages, underscoring the urgency of implementing robust strategies to safeguard the world’s food sources. Deep learning methods have revolutionized the field of plant disease detection, offering advanced and accurate solutions for early identification and management. However, a recurring problem in deep learning models is their susceptibility to a lack of robustness and generalization when facing novel crop and disease types that were not included in the training dataset. In this paper, we address this issue by proposing a novel deep learning-based system capable of recognizing diseased and healthy leaves across different crops, even if the system was not trained on them. The key idea is to focus on recognizing the diseased small leaf regions rather than the overall appearance of the diseased leaf, along with determining the disease’s prevalence rate on the entire leaf. For efficient classification and to leverage the excellence of the Inception model in disease recognition, we employ a small Inception model architecture, which is suitable for processing small regions without compromising performance. To confirm the effectiveness of our method, we trained and tested it using the widely acclaimed PlantVillage dataset, recognized as the most utilized dataset for its comprehensive and diverse coverage. Our method achieved an accuracy rate of 94.04%. Furthermore, when tested on new datasets, it achieved an accuracy rate of 97.13%. This innovative approach not only enhances the accuracy of plant disease detection but also addresses the critical challenge of model generalization to diverse crops and diseases. In addition, it outperformed the existing methods in its ability to identify any disease across any crop type, showcasing its potential for broad applicability and contribution to global food security initiatives.</div></div>","PeriodicalId":53443,"journal":{"name":"Information Processing in Agriculture","volume":"12 1","pages":"Pages 54-67"},"PeriodicalIF":7.7,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140085028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of the phytohormone salicylic acid on the salinity thresholds to seed germination and seedling growth in the oilseed Camelina sativa","authors":"Esmaeil Bakhshandeh ,&nbsp;Fatemeh Hosseini Sanehkoori ,&nbsp;Najmeh Mirzaaghpour ,&nbsp;Charlotte E. Seal ,&nbsp;Mozhgan Alinia","doi":"10.1016/j.ocsci.2024.10.002","DOIUrl":"10.1016/j.ocsci.2024.10.002","url":null,"abstract":"<div><div>The oilseed crop <em>Camelina sativa</em> exhibits salinity tolerance, but the effects on early growth stages across a range of different salts and in combination with salicylic acid (SA) have not been thoroughly evaluated. In this study, seeds were germinated in varying concentrations of six salts (NaCl, CaCl₂, ZnCl₂, KCl, MgSO₄, and Na₂SO₄) with or without 0.5 ​mM SA. Using the halotime model, we estimated salt thresholds for germination and parameters of seedling growth. Germination and seedling growth parameters of camelina significantly decreased with increasing salt concentration across all salt types. Salts containing Zn and SO4 were most detrimental to germination and seedling growth. Except for KCl, 0.5 ​mM SA generally reduced the salinity tolerance threshold (Saltb(50)) of camelina. Specifically, Saltb(50) was 21.5% higher for KCl and 16.1%, 25.0%, 54.9%, 21.0%, and 5.6% lower for CaCl₂, NaCl, MgSO₄, Na₂SO₄, and ZnCl₂, respectively, when 0.5 ​mM SA was compared to 0 ​mM SA. Furthermore, camelina seedling growth was consistently more sensitive than germination across all salt types. SA did not significantly enhance germination or seedling growth and was harmful when combined with certain salts or at the germination stage. It can be concluded that both the type of salt and the concentration of SA are as critical as the salt concentration in saline irrigation water.</div></div>","PeriodicalId":34095,"journal":{"name":"Oil Crop Science","volume":"10 1","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}