Journal of Agriculture and Food Research最新文献

{"title":"Assessing the use of ChatGPT among agri-food researchers: A global perspective","authors":"Mohammad Sadegh Allahyari ,&nbsp;Sinisa Berjan ,&nbsp;Hamid El Bilali ,&nbsp;Tarek Ben Hassen ,&nbsp;Soroush Marzban","doi":"10.1016/j.jafr.2024.101616","DOIUrl":"10.1016/j.jafr.2024.101616","url":null,"abstract":"<div><div>This study examines the adoption of ChatGPT among agri-food researchers and experts across 61 countries, applying the Theory of Planned Behavior (TPB) to evaluate the key determinants of this adoption. Based on a quantitative methodology, an online survey was distributed to assess respondents' attitudes, subjective norms, perceived behavioral control, and willingness to utilize ChatGPT in their research practices. The findings reveal a predominantly positive attitude towards ChatGPT, with many participants acknowledging its potential to enhance research productivity through editing, translation, and communication tasks. However, subjective norms were found to have a lower influence, suggesting limited external pressure from peers or institutions to integrate ChatGPT. Path analysis demonstrated significant direct and indirect effects of attitude, subjective norms, and perceived behavioral control on willingness to adopt ChatGPT, with a Goodness of Fit index of 0.748 supporting the model's robustness. The study emphasizes the need for heightened awareness and advocacy within academic communities, along with targeted training and support to enhance perceived behavioral control and address concerns about the accuracy and reliability of outputs generated through artificial intelligence (AI). These insights provide valuable contributions to understanding the factors shaping the adoption of AI tools in academic research, particularly within the agri-food sector. Future research should explore the evolving landscape of AI adoption, regional and disciplinary differences, and the ethical considerations surrounding AI technologies. Addressing these issues will enable researchers to better harness the transformative potential of tools like ChatGPT to advance their work in agri-food research.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101616"},"PeriodicalIF":4.8,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171971","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":"Seeds of Excellence: Review on impact of seed quality enhancement on babygreens biomass production","authors":"Arvind Gopalsamy ,&nbsp;Eevera Tamilmani ,&nbsp;Kumaran Shanmugam ,&nbsp;Nelson Navamaniraj Koilpitchai ,&nbsp;Vidhya Durairaj ,&nbsp;Preethi Mylsamy ,&nbsp;Anandhan Jaganathavarma ,&nbsp;Umarani Ranganathan","doi":"10.1016/j.jafr.2024.101597","DOIUrl":"10.1016/j.jafr.2024.101597","url":null,"abstract":"<div><div>The high nutrient content of baby greens has increased their demand in worldwide markets, putting pressure on farmers and producers to expand production. Enhancing the quality of seeds before sowing has been identified as a key component in increasing the volume of baby greens. The current seed treatment techniques used for baby greens are chemical-based and have extensive negative effects on the environment and human health. Consequently, alternative seed treatment methods, such as organic and physical methods, use less fertilizer and have negligible effects on the environment and public health. A range of treatments, including shock wave, radiation, plasma, magnetic, and hot water treatments, have been found to promote crop development. These techniques have been shown to improve seed germination, the seed vigor index, root development, shoot development, and biomass production because organic seed formulation makes growth regulators available directly to seeds and helps to address issues related to the unraveling of the seed coat in some species. In addition to these seed treatment approaches, a number of seed priming, seed pelleting and seed coating techniques, such as microbial, biopolymer-based, and protective coatings, have been shown to increase sustainability and efficacy while being more environmentally friendly. Advanced seed treatment techniques that employ nanoparticles, such as nanosuspensions, nanoemulsions, and nanopriming, have emerged as viable options for both the environment and the economy. These techniques enhance crop development and seed vigor by utilizing mechanisms such as seed coat penetration and cellular signaling stimulation. For the optimal production of baby greens, including lettuce, Chinese cabbage, pak choi, and radish, certain characteristics, such as substrate, growing conditions, and appropriate parameters, must be maintained in addition to seed treatment procedures. This article provides a thorough evaluation of these methods, explaining their mechanisms of action and addressing the relative benefits of various substrates and parameters for encouraging the growth of roots and plants.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101597"},"PeriodicalIF":4.8,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103952","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":"Comparative evaluation of hemp seed oil yield and physicochemical properties using supercritical CO2, accelerated hexane, and screw press extraction techniques","authors":"Rattana Muangrat ,&nbsp;Apisada Kaikonjanat","doi":"10.1016/j.jafr.2024.101618","DOIUrl":"10.1016/j.jafr.2024.101618","url":null,"abstract":"<div><div>This study evaluated screw press, accelerated hexane, and supercritical CO₂ extraction techniques to identify the optimal method for maximizing cannabidiol (CBD) yield from hemp seed oil. Supercritical CO₂ extraction at 40 °C and 200 bar yielded 20.81 % oil with the highest average CBD concentration of 603.57 μg/mL. At this condition, the oil exhibited an acid value of 30.73 mg KOH/g oil, a peroxide value of 17.10 meq O₂/kg oil, an iodine value of 103.21 g I₂/100 g oil, and a saponification value of 185.34 mg KOH/g oil. The total phenolic content, measured as 0.08 mg gallic acid equivalents/g oil, corresponded with antioxidant activities of 1.22 and 1.35 μmol Trolox equivalents/g oil in the ABTS and DPPH assays, respectively. The extracted oil also showed high levels of chlorophyll and carotenoids and an optimal fatty acid composition with an ω-6 to ω-3 ratio of 3.98. These findings demonstrate that supercritical CO₂ extraction at this condition is an effective method for obtaining CBD-rich hemp seed oil with desirable chemical and antioxidant properties.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101618"},"PeriodicalIF":4.8,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173122","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":"Predicting abundance and distribution risk of oriental fruit fly, Bactrocera dorsalis (Handel) in India based on CMIP6 projections linked with temperature-driven phenology models","authors":"Jaipal Singh Choudhary ,&nbsp;Santosh Sambhaji Mali ,&nbsp;Subhash Kumar Sahu ,&nbsp;Debu Mukherjee ,&nbsp;Bikash Das ,&nbsp;Arun Kumar Singh ,&nbsp;Anup Das ,&nbsp;Bhagwati Prasad Bhatt","doi":"10.1016/j.jafr.2024.101613","DOIUrl":"10.1016/j.jafr.2024.101613","url":null,"abstract":"<div><div>The Oriental fruit fly, <em>Bactrocera dorsalis</em> (Handel), an important pest of horticultural crops, was studied at seven ecologically pertinent constant temperatures (15, 18, 22, 25, 29, 32, and 35 °C) under a photoperiod of 12:12 h L:D with a relative humidity of 60 ± 10 % to establish its temperature-based development. The study was incepted to devise temperature-driven phenology models and to analyze the abundance and distribution risk of <em>B. dorsalis</em> in India based on CMIP6 projections based on the model outcomes. Using the Insect Life Cycle Modelling software, <em>B. dorsalis</em> process-based phenophases models were linked with three global climate models (GCMs) and two climate change scenarios (SSP1-2.6 and SSP5-8.5). The results revealed that the lowest temperature threshold (LTT) for the development of the egg, larva, pupa, male, and female of <em>B. dorsalis</em> were 9.8, 6.9, 9.7, 14.2, and 14.3 °C, respectively. The maximum number of females per female (net reproductive rate, R₀) (385.738 ± 7.62) and individuals per female (808.987 ± 13.409) (gross reproduction rate, GRR) per generation was succeeded at a constant temperature of 26 °C. At 29 °C, the maximum females per female (0.164 ± 0.0006 per day) (intrinsic rate of increase, r_m) and lowest doubling time (Dt) (4.22 ± 0.02 days) was noted. Temperatures between 26 and 29 °C were optimum for <em>B. dorsalis</em> survival, growth, and multiplications, leading to less generation time and increased population potential. The distribution and abundance indices projected for current climates (1970–2000) successfully fit the identified dispersal areas of <em>B. dorsalis</em> in India. The projections under the changing climates in India indicated that increase in temperature in future climate for <em>B. dorsalis</em> will be less suitable (<u>∼</u>65 %) for very high establishments (0.8–1.0 establishment risk index) but an increase in abundance and damage potential (16.48–71.39 %) is expected based on increased activity, and generation risk indices. In conclusion, the predicted abundance and damage potential suggest that <em>B. dorsalis</em> India will pose a considerable risk to horticultural crops in future climate scenarios. The study results offer important baseline data for developing the strategies of <em>B. dorsalis</em> management and phytosanitary actions at particular, local, and national levels in India.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101613"},"PeriodicalIF":4.8,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171825","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":"Bio-functional, antibacterial, ACE and DPP-IV inhibitory activities of thyme, flax and apple pollen-peptides by controlled enzymolysis","authors":"Zahra Akbarbaglu ,&nbsp;Atena Ramezani ,&nbsp;Adele Rafati ,&nbsp;Narges Mazloomi ,&nbsp;Seid Mahdi Jafari ,&nbsp;Mohammad Ali Hesarinejad ,&nbsp;Fatemeh Khaleghi ,&nbsp;Khashayar Sarabandi","doi":"10.1016/j.jafr.2024.101617","DOIUrl":"10.1016/j.jafr.2024.101617","url":null,"abstract":"<div><div>In recent years, the chemical composition, bioactive compounds, and high nutritional value of flower pollen have made it known as \"perfect health food\". Therefore, in this study, the effects of different enzymes (Al-Alcalase, Pe-pepsin, Pa-pancreatin and Tr-trypsin) on nutritional value, the composition of amino acids, antioxidant properties, ACE, DPP-IV inhibitory and antibacterial activity of pollen protein of thyme (TP), flax (FP) and apple (AP) flowers were evaluated. Structural characteristics (conformational changed and amide regions of proteins) were identified by FTIR spectroscopy. The composition of antioxidant (∼20–24 %), and hydrophobic (∼36–40 %) amino acids, the ratio of EAA/TAA (∼45 %) and PER index (AP = 1.2–1.2; TP = 1.61–1.71 and FP = 1.68–1.81) were influenced by primary protein and enzyme type. The highest degree of hydrolysis (DH 34.4 %), inhibiting DPPH (86.1 %), ABTS (2.4 mM Trolox), OH (60.9 %), NO (33.6 %) radicals, reducing power (1.29), total antioxidant (1.83) and the chelation of Fe²⁺ (76.7 %) and Cu²⁺ (31.5 %) ions, ACE (67.9 %) and DPP-IV (64.6 %) inhibition were affected by the type of enzyme. Also, the greatest inhibition of the growth of <em>Escherichia coli</em> (∼24.7 mm) and <em>Bacillus cereus</em> (∼21.7 mm) was related to FP protein. Finally, TP-hydrolyzed with Alcalase can be considered as a suitable option for the production of beneficial products and the fortification of dietary supplements.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101617"},"PeriodicalIF":4.8,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171987","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":"Effects of boiling and ultrasound treatment on proximate composition, minerals and in vitro protein digestibility of Cirina butyrospermi powder","authors":"Mayowa Saheed Sanusi ,&nbsp;Oluwafemi Lawrence Oke ,&nbsp;Akeem Olayemi Raji ,&nbsp;Folake Henshaw ,&nbsp;Abdulkareem Bamidele Bello","doi":"10.1016/j.jafr.2024.101608","DOIUrl":"10.1016/j.jafr.2024.101608","url":null,"abstract":"<div><div><em>Cirina butyrospermi</em> possesses nutritional content that holds promise for addressing nutritional needs. However, to make them suitable as an ingredient for enhancing other products, processing them into powder form is necessary. In this study, the effects of boiling, ultrasound treatment, and a combination of partial boiling and ultrasound treatment on the proximate composition, mineral contents (calcium, zinc, and iron), and <em>in vitro</em> protein digestibility of <em>Cirina butyrospermi</em> powder were investigated. Principal component analysis was performed to assess the impact of the treatment methods on the proximate composition, mineral contents, <em>in vitro</em> protein digestibility, and sensory attributes of the resulting <em>Cirina butyrospermi</em> powder. Ultrasound treatment resulted in the highest levels of protein (23.52 %), ash (1.47 %), carbohydrates (34.86 %), iron (3.04 mg/100g), calcium (58.21 mg/100g), and zinc (4.58 mg/100g) in the <em>Cirina butyrospermi</em> powder. Boiling treatment yielded the highest fat content (2.53 %), moisture content (55.32 %) and <em>in vitro</em> protein digestibility (65.08 %), while partial boiling and partial ultrasound treatment had the highest fibre content (3.54 %). Ultrasound treatment was associated with the first principal component, which accounted for 79.18 % of the total variability and was primarily dominated by protein, ash, carbohydrates, calcium, zinc, and iron content. In terms of sensory attributes, ultrasound treatment represented 84.49 % of the variability, with overall acceptability, residual bitterness, appearance, grittiness, taste, and aroma being the dominant sensory attributes. Conclusively, ultrasound treatment effectively preserved both the nutrient content and sensory qualities of <em>Cirina butyrospermi</em> powder, making it a promising method for processing <em>Cirina butyrospermi</em> into a versatile and enriching ingredient for various products.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101608"},"PeriodicalIF":4.8,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171833","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":"Analyses of phytochemicals and nutritional compositions in Bambara groundnut (Vigna subterranea [L.] Verdc)","authors":"Nomathemba Gloria Majola ,&nbsp;Abe Shegro Gerrano ,&nbsp;Hussein Shimelis ,&nbsp;Jacob Mashilo","doi":"10.1016/j.jafr.2024.101610","DOIUrl":"10.1016/j.jafr.2024.101610","url":null,"abstract":"<div><div>Bambara groundnut (<em>Vigna subterranea</em> (L.) Verdc) grains have variable phytochemical compositions and minerals vital for the food and feed industry. There is a need to exploit the genetic diversity of Bambara groundnut for breeding new varieties with enhanced seed yield, nutritional content and quality to develop various products. The objective of this study was to determine the compositions of phytochemicals and mineral elements present in Bambara groundnut genetic pool to identify superior and contrasting genotypes to guide product development and breeding. Seventy-five genetically diverse Bambara groundnut genotypes were field evaluated across four locations (Brits, Loskop, Mafikeng and Polokwane) using a 15 × 5 alpha lattice design with three replications during the 2020–2021 cropping season. Genotypes were profiled for fat, phenolic and flavonoids contents at the Agricultural Research Council (ARC) analytical laboratory in South Africa. Further, the genotypes were assessed for the contents of the following minerals: calcium (Ca), iron (Fe), potassium (K), phosphorus (P), zinc (Zn) and nitrogen (N). The nutritional content of the test genotypes varied significantly (P &lt; 0.05), which were affected by the genotype-by-environment interactions. These suggested genotypes could be selected for the suitability for cultivation and recommendation to each environment. The Ca, Fe, K and Zn content varied from 150.70 to 216.53, 4.30 to 16.77, 771.99 to 1155.89 and 5.50–7.17 mg/100 g dry seed sample, respectively. Genotypes, including ARC Bamb-2, ARC Bamb-19, ARC Bamb-73, ARC Bamb-56, ARC Bamb-37, ARC Bamb-3 and ARC Bamb-69 exhibited the highest fat content (&gt;6.00 %). ARC Bamb-40 and ARC Bamb-59 recorded a higher mean Fe content of 16.00 mg.100 g⁻¹. ARC Bamb-2 was the top-performing genotype with high fat content (6 %), Ca (211.93 mg.100 g⁻¹), and Zn (7.17 mg/100 g). Ca,K, and N contents displayed strong correlations (r &gt; 0.60, P &lt; 0.05). Phosphorus and Zn contents exhibited moderate correlations with Ca. Overall, the study selected genotypes ARC Bamb-73, ARC Bamb-19, ARC Bamb-9 and ARC Bamb-2 with high compositions of essential nutrients for product development or breeding. The selected genetic resources are valuable for trait integration and developing new breeding populations with enhanced nutrient compositions and agronomic and market-preferred traits.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101610"},"PeriodicalIF":4.8,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143171836","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":"Application of laser light backscattering for qualitative and quantitative assessment of dilution of clear and cloudy apple juices","authors":"Hoa Xuan Mac ,&nbsp;Nga Thi Thanh Ha ,&nbsp;László Friedrich ,&nbsp;Lien Le Phuong Nguyen ,&nbsp;László Baranyai","doi":"10.1016/j.jafr.2024.101609","DOIUrl":"10.1016/j.jafr.2024.101609","url":null,"abstract":"<div><div>This study investigated the potential of laser light backscattering imaging (LLBI) for detecting water addition in apple juices. Commercial 100 % clear and cloudy apple juices were diluted at various levels (5–50 % v/v). Backscattering images were acquired by a laser vision system equipped with a 12-bit camera and laser diodes emitting at six wavelengths in the range of 532–1064 nm. Multispectral data was extracted by signal approximation with Cauchy distribution function (M1) and first-order descriptive parameters (M2). Support vector machine (SVM) was used and the hyperparameters were optimized to maximize model performance. Coefficients of M1 achieved better classification accuracy and prediction of dilution level than those of M2. The classification accuracy increased with reduced number of output classes for both clear and cloudy juice. The binary classification of non-diluted (original juice) and diluted samples obtained the highest performance with accuracy above 87.80 %. The radial kernel utilizing M1 yielded the highest accuracy (60.00–95.00 %) for clear juice, while the polynomial kernel using M1 obtained the highest accuracy (67.50–97.56 %) for cloudy juice. Prediction of adulteration level showed the best performance with radial and polynomial kernel on clear and cloudy juice, respectively. Validation achieved R² = 0.615 for clear and R² = 0.930 for cloudy juice. The results show that the proposed technique can detect adulteration and predict dilution level of apple juices.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101609"},"PeriodicalIF":4.8,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143103948","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":"Zinc oxide nanoparticles for sustainable agriculture: A tool to combat salinity stress in rice (Oryza sativa) by modulating the nutritional profile and redox homeostasis mechanisms","authors":"Yusuf Dogan ,&nbsp;Pravej Alam ,&nbsp;Haider Sultan ,&nbsp;Renuka Sharma ,&nbsp;Sipan Soysal ,&nbsp;Mehmet Firat Baran ,&nbsp;Mohammad Faizan","doi":"10.1016/j.jafr.2024.101598","DOIUrl":"10.1016/j.jafr.2024.101598","url":null,"abstract":"<div><div>The use of nanoparticles (NPs) as an amendment to reduce salt toxicity has gained much attention. Keeping in mind, this research work was done to evaluate the effect of zinc oxide NPs (ZnO-NPs) to mitigate the salt stress in rice (<em>Oryza sativa</em>) plant. Rice plants were subjected to salt stress (150 mM of NaCl) at 15 days of sowing through the soil. ZnO-NPs were characterized by Scanning electron microscopy (SEM), Transmission electron microscopy (TEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR) and were applied foliar at concentration of 100 mg/L for five consecutive days (26–30 DAS). The results confirmed the salt toxicity and reduced shoot length (27 %), root fresh weight (31 %), SPAD chlorophyll (29 %), net photosynthetic rate (24 %), and nitrogen (N), phosphorus (P), potassium (K) and zinc (Zn) uptake by 9 %, 11 %, 13 % and 17 % respectively, while salinity increased the activity of antioxidant enzymes, proline, hydrogen peroxide (H₂O₂), and malondialdehyde (MDA) content in rice plants. However, in plants grown under salt stress, foliar application of ZnO-NPs significantly improved growth, photosynthesis, nutrient uptake and antioxidant enzymes activity. Beside, ZnO-NPs reduced salinity-induced oxidative stress by lowering H₂O₂ and MDA content. Therefore, our research showed that ZnO-NPs is useful and efficient in encouraging growth and lessening salinity stress in rice plants.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101598"},"PeriodicalIF":4.8,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173119","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":"Combining miRNA concentrations and optimized machine-learning techniques: An effort for the tomato storage quality assessment in the agriculture 4.0 framework","authors":"Seyed Mohammad Samadi ,&nbsp;Keyvan Asefpour Vakilian ,&nbsp;Seyed Mohamad Javidan","doi":"10.1016/j.jafr.2024.101605","DOIUrl":"10.1016/j.jafr.2024.101605","url":null,"abstract":"<div><div>Fruits’ cold storage lead to an increase or decrease in the concentration (expression) of several miRNAs in their intracellular structure. Moreover, research has shown that conventional machine-learning methods do not exert enough performance in predicting treatments applied to plants by having miRNA concentrations. In this work, using basic machine-learning methods and their optimization via meta-heuristic algorithms, the storage period, storage temperature, and mechanical loading during storage in tomatoes have been predicted by having miRNA concentrations as model inputs. As expected, the results showed rather poor values of the coefficient of determination (R²) of the artificial neural network (ANN), support vector machine (SVM), and random forest (RF) with pre-adjusted values for their hyperparameters. However, the RF, with hyperparameters optimized by the genetic algorithm, was able to improve the R² values of the prediction of storage temperature and period to 0.96 and 0.89. The maximum performance of predicting the mechanical loading on the fruits (R² = 0.91) was obtained by combining the RF with the particle swarm optimization. Also, feature selection results showed that miRNA1917, miRNA172, and miRNA156, as inputs to the optimized RF model could predict the storage temperature, storage period, and mechanical loading on the fruits with R² values of 0.94, 0.93, and 0.93, respectively. As a result, to use smart sensing platforms to detect the storage quality of agricultural products, only a limited number of miRNAs is required to be measured, which reduces the redundancy of the database and also reduces the costs of experiments. In addition, this feature selection scheme reveals the role of some miRNA compounds in the process of fruit response to stress during storage. This study is an effort to move along the Sustainable Agriculture 4.0 b y introducing a reliable method to predict fruit storage conditions for applying possible treatments to reduce post-harvest loss.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"19 ","pages":"Article 101605"},"PeriodicalIF":4.8,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173118","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}