Agriculture-Basel最新文献

{"title":"The Productivity of Crop Rotation Depending on the Included Plants and Soil Tillage","authors":"M. Darguza, Zinta Gaile","doi":"10.3390/agriculture13091751","DOIUrl":"https://doi.org/10.3390/agriculture13091751","url":null,"abstract":"Crop diversification in rotations is an important part of sustainable crop production. The aim of this research was to analyse soil tillage and crop rotation influence on the yield (t ha−1) of different field crops, their energy yield (GJ ha−1) and the economical profitability (EUR ha−1) of crop rotation. The field trial was conducted in Latvia during four harvest seasons (2017–2020) in a long-term experiment that started in 2009. Three crop rotations with a different share of winter wheat (Triticum aestivum) were studied: 100% wheat (repeated sowings), 67% wheat (three-year rotation with winter oilseed rape (Brassica napus ssp. oleifera) and two years following wheat) and 25% wheat (four-year rotation: field bean (Vicia faba)–wheat–winter oilseed rape–spring barley (Hordeum vulgare). Conventional and reduced soil tillage systems were used for rotation variants. Crop rotations “67% wheat” and “25% wheat” ensured significantly higher average wheat grain yields in comparison to “100% wheat”. Wheat and oilseed rape were the most valuable crops in terms of accumulated energy and economic value in this trial. Higher energy yields were gained from variants in the rotations “67% wheat” and “25% wheat”. Average gross profit was higher from crop rotations with diverse crops, mainly due to the positive forecrop effect on winter wheat.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"29 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80675440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"“Orange” Wine—The Resurgence of an Ancient Winemaking Technique: A Review","authors":"Bettina-Cristina Buican, L. Colibaba, C. Luchian, S. Kallithraka, V. Cotea","doi":"10.3390/agriculture13091750","DOIUrl":"https://doi.org/10.3390/agriculture13091750","url":null,"abstract":"Over the past few decades, there has been a notable paradigm shift worldwide, affecting people’s preferences and decisions regarding both food and beverage options. These factors have sparked a newfound fascination among winemakers, wine enthusiasts, and consumers alike, as they explore the notion of reconnecting with a bygone era and embracing a lifestyle reminiscent of the past. “Orange” wine, a product derived from white grapes, encapsulates the intriguing allure of ancient winemaking methods that trace their roots back to Georgia. The method enables an elevated presence of phenolic compounds, which can have a favorable influence on the sensory characteristics of the wines or their behavior during oxidative processes. Given the scarcity of widespread knowledge, this overview aims to provide a comprehensive understanding of the historical evolution of winemaking and its various transformations over the years. It delves into the intricacies of winemaking technology, particularly focusing on the unique utilization of qvevri vessels. In addition to traditional sources, this review examines the influence of winemaking technology and the utilization of special vessels on the characteristics of “orange” wines. It explores the unique traits that develop in these wines as a result of prolonged maceration. By considering the impact of these factors, the review offers insights into the distinct qualities and attributes that emerge in “orange” wines during the winemaking process.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"32 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80197902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Do Chinese Farmers Misuse Pesticide Intentionally or Not?","authors":"Li Zhao, Changwei Wang, Haiying Gu, Chengyan Yue","doi":"10.3390/agriculture13091749","DOIUrl":"https://doi.org/10.3390/agriculture13091749","url":null,"abstract":"Nonstandard pesticide-application behavior leads to excessive pesticide residue and even affects the quality and safety of agricultural products and agricultural sustainability. Based on 968 valid samples randomly selected in Jiangsu Province of China, it focuses on the impact of incident shock and yield fluctuation avoidance on the pesticide-application behavior of farmers. Then, it investigated the impact of intentional factors, such as insufficient cognition and lack of knowledge, on their improper pesticide-application behavior. This study shows that, besides the pursuit of improper income, inadequate awareness and preventive actions to avoid operational risks are also important factors in farmers’ nonstandard pesticide application. In addition, the study also shows that farmers who understand the responsibility unit of agricultural product quality and safety supervision are more inclined to choose standardized application of pesticides. The higher the education level of farmers, the higher the probability of standardized application of pesticides. Therefore, farmers’ nonstandard pesticide-application behavior is largely due to the farmers’ insufficient awareness of the harm of pesticide residues or the lack of trust in the efficacy of pesticides. Moreover, the study also shows that adverse selection phenomenon exists in pesticide-application training.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"81 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72961581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Cultivation Systems on Weed Suppression and the Canopy Architecture of Spring Barley","authors":"Roman Wacławowicz, Magdalena Giemza, Elżbieta Pytlarz, A. Wenda-Piesik","doi":"10.3390/agriculture13091747","DOIUrl":"https://doi.org/10.3390/agriculture13091747","url":null,"abstract":"Under the pro-environmental principles of agricultural production, soil cultivation and organic fertilization are of particular importance as strategical elements in reducing weed infestation in the context of sustainable agriculture. The aim of this study was to determine the effect of long-term practices that are used in regenerative agriculture (reducing soil tillage, cover crop management, and mineral nitrogen fertilization) on canopy weed infestation and the elements of spring barley architecture. Understanding the impact of the studied factors influences decision-making regarding weed infestation control, and thus may contribute to a reduction in herbicide use. A two-factor field experiment was conducted using the split-plot method. The main factors were four cultivation methods: 1. conventional tillage without a cover crop, 2. conventional tillage + cover crop, 3. reduced tillage + cover crop, and 4. no tillage + cover crop. The subplot factor was differentiated via nitrogen fertilization, at 40, 80, or 120 kg N∙ha−1. The research covered canopy weed infestation and the parameters of spring barley canopy architecture. The species composition; the number and weight of weeds; and, for barley, the leaf area index (LAI), density, length, and tillers were determined. The test results were statistically analyzed (ANOVA) in a series of experiments while using Tukey’s test for a significance level of p = 0.05. Additionally, simple linear regression analysis, principal component analysis (PCA), and data clustering (CA) were utilized. The study showed that simplified tillage contributed to reducing the number of weeds in the barley tillering stage, while also contributing to an increase in weed infestation during grain harvest. Plowing in the cover crop did not reduce the presence of undesirable plants in the canopy, while increasing doses of nitrogen fertilization contributed to a reduction in the number of weeds without affecting their mass. Weed infestation was also affected by meteorological conditions. Increased rainfall in the early stages of barley development benefits the number of weeds, especially in terms of traditional cultivation. Simplified tillage resulted in a reduction in barley density, height, and LAI, as well as an increase in the branching of the tested cereal. A significant negative correlation was also found between the weed infestation of the barley canopy and the characteristics of the canopy architecture. The PCA showed that the highest tillering of barley was provided at the lowest intensity of weed infestation. In turn, the CA indicated that the significantly higher LAI that resulted from a higher density and length of barley was attributed to the simplified cultivation treatments and the practice of direct sowing. It is a comprehensive method that can favor barley growth and development conditions while weakening weed infestation potential.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"48 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86565358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Apulian Autochthonous Olive Germplasm: A Promising Resource to Restore Cultivation in Xylella fastidiosa-Infected Areas","authors":"M. Savoia, V. Fanelli, M. Miazzi, F. Taranto, Silvia Procino, L. Susca, Vito Montilon, Oriana Potere, Franco Nigro, C. Montemurro","doi":"10.3390/agriculture13091746","DOIUrl":"https://doi.org/10.3390/agriculture13091746","url":null,"abstract":"The olive tree (Olea europaea subsp. europaea var. europaea) represents the cornerstone crop of Apulian agriculture, which is based on the production of oil and table olives. The high genetic variability of the Apulian olive germplasm is at risk of genetic erosion due to social, economic, and climatic changes. Furthermore, since 2013, the spread of the Gram-negative bacterium Xylella fastidiosa subsp. pauca responsible for the olive quick decline syndrome (OQDS) has been threatening olive biodiversity in Apulia, damaging the regional economy and landscape heritage. The aim of this study was to investigate the differential response to X. fastidiosa infection in a collection of 100 autochthonous Apulian olive genotypes, including minor varieties, F1 genotypes, and reference cultivars. They were genotyped using 10 SSR markers and grown for 5 years in an experimental field; then, they were inoculated with the bacterium. Symptom assessments and the quantification of bacterium using a qPCR assay and colony forming units (CFUs) were carried out three and five years after inoculation. The study allowed the identification of nine putatively resistant genotypes that represent a first panel of olive germplasm resources that are useful both for studying the mechanisms of response to the pathogen and as a reserve for replanting in infected areas.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"59 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85981875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Digital Financial Inclusion on Green and Low-Carbon Agricultural Development","authors":"Yan Liu, Ya Deng, Binyao Peng","doi":"10.3390/agriculture13091748","DOIUrl":"https://doi.org/10.3390/agriculture13091748","url":null,"abstract":"Under the “two-carbon” goal, the green and low-carbon development of agriculture is a critical way to consummate agricultural modernization and high-quality economic establishment. Digital inclusive finance eases credit restrictions. It enhances the availability of funds for farmers. It promotes the integration of agricultural industries and talent gathering through digitalization, improves the standard of agricultural production and promotes the development of green and low-carbon agricultural modernization in China. This paper uses panel data for 2011–2021, which includes 31 provinces in China. Green and low-carbon development indicators of agriculture were constructed and calculated, and the comprehensive horizontal spatial differentiation map of GIS technology was used for analysis. A spatial panel model was set up at the same time, to explore the impact and mechanism test of digital financial inclusion on the green and low-carbon development of agriculture, and regional heterogeneity was analyzed. (1) Digital financial inclusion can promote the green and low-carbon development of agriculture, and its influence has a positive spatial spillover effect. (2) The education level of the labor force plays an intermediary role and is the transmission mechanism of digital financial inclusion and the green and low-carbon development of agriculture. (3) The impact of digital financial inclusion on green and low-carbon agricultural development has regional heterogeneity.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"51 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80991889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does the Identification of Important Agricultural Heritage Systems Promote Economic Growth? Empirical Analysis Based on County Data from China","authors":"Jingyi Li, Jiaxin He, Lun Yang, Qingwen Min","doi":"10.3390/agriculture13091745","DOIUrl":"https://doi.org/10.3390/agriculture13091745","url":null,"abstract":"The protection and management of important agricultural heritage systems (IAHS) are essential to the sustainable economic and social development of heritage sites. Using the time-varying difference-in-differences (DID) model, this paper analyzes the influence of the identification of IAHS on economic growth and compares the difference between Globally Important Agricultural Heritage Systems (GIAHS) and China’s Nationally Important Agricultural Heritage Systems (China-NIAHS). The results show that the identification of IAHS can significantly promote the economic growth of heritage sites, and the identification of GIAHS has a stronger role. Heterogeneity analysis shows that the economic driving effect of IAHS identification on heritage sites is affected by geographical location and poverty. The economic driving effect is stronger in Western China and in relatively poor areas. In addition, the influencing mechanism of regional economic growth after IAHS identification is discussed. The results show that IAHS identification can promote the development of the grain processing industry and the improvement of infrastructure construction, so as to increase the added value of secondary industries at heritage sites. Moreover, the level of heritage recognition leads to different policy tendencies. Among these, GIAHS identification significantly promotes investment growth, while China-NIAHS identification significantly promotes the population agglomeration of heritage sites.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"8 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81766452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Origin Intelligent Identification of Angelica sinensis Using Machine Vision and Deep Learning","authors":"Zimei Zhang, Jianwei Xiao, Shanyu Wang, Min Wu, Wenjie Wang, Ziliang Liu, Zhian Zheng","doi":"10.3390/agriculture13091744","DOIUrl":"https://doi.org/10.3390/agriculture13091744","url":null,"abstract":"The accurate identification of the origin of Chinese medicinal materials is crucial for the orderly management of the market and clinical drug usage. In this study, a deep learning-based algorithm combined with machine vision was developed to automatically identify the origin of Angelica sinensis (A. sinensis) from eight areas including 1859 samples. The effects of different datasets, learning rates, solver algorithms, training epochs and batch sizes on the performance of the deep learning model were evaluated. The optimized hyperparameters of the model were the dataset 4, learning rate of 0.001, solver algorithm of rmsprop, training epochs of 6, and batch sizes of 20, which showed the highest accuracy in the training process. Compared to support vector machine (SVM), K-nearest neighbors (KNN) and decision tree, the deep learning-based algorithm could significantly improve the prediction performance and show better robustness and generalization performance. The deep learning-based model achieved the highest accuracy, precision, recall rate and F1_Score values, which were 99.55%, 99.41%, 99.49% and 99.44%, respectively. These results showed that deep learning combined with machine vision can effectively identify the origin of A. sinensis.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"128 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87638891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drivable Agricultural Road Region Detection Based on Pixel-Level Segmentation with Contextual Representation Augmentation","authors":"Yefeng Sun, Liang Gong, Wei Zhang, Bishu Gao, Yanming Li, Chengliang Liu","doi":"10.3390/agriculture13091736","DOIUrl":"https://doi.org/10.3390/agriculture13091736","url":null,"abstract":"Drivable area detection is crucial for the autonomous navigation of agricultural robots. However, semi-structured agricultural roads are generally not marked with lanes and their boundaries are ambiguous, which impedes the accurate segmentation of drivable areas and consequently paralyzes the robots. This paper proposes a deep learning network model for realizing high-resolution segmentation of agricultural roads by leveraging contextual representations to augment road objectness. The backbone adopts HRNet to extract high-resolution road features in parallel at multiple scales. To strengthen the relationship between pixels and corresponding object regions, we use object-contextual representations (OCR) to augment the feature representations of pixels. Finally, a differentiable binarization (DB) decision head is used to perform threshold-adaptive segmentation for road boundaries. To quantify the performance of our method, we used an agricultural semi-structured road dataset and conducted experiments. The experimental results show that the mIoU reaches 97.85%, and the Boundary IoU achieves 90.88%. Both the segmentation accuracy and the boundary quality outperform the existing methods, which shows the tailored segmentation networks with contextual representations are beneficial to improving the detection accuracy of the semi-structured drivable areas in agricultural scene.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"11 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78406012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study on the Effect of pH on Rhizosphere Soil Fertility and the Aroma Quality of Tea Trees and Their Interactions","authors":"Yuhua Wang, Qi Zhang, Jianjuan Li, S. Lin, X. Jia, Qingxu Zhang, J. Ye, Haibin Wang, Zeyan Wu","doi":"10.3390/agriculture13091739","DOIUrl":"https://doi.org/10.3390/agriculture13091739","url":null,"abstract":"In order to fully comprehend the impact of soil acidification on the quality of tea, further analyses are essential and are of the utmost importance to the cultivation of tea trees and the simultaneous enhancement of tea quality. In May 2022, Tieguanyin tea trees planted in soils with different pH levels were selected as the research object of this study to analyze the effect of soil pH on the soil chemical index, soil fertility and the aroma quality of tea leaves. The results showed that the organic matter content, cation exchange capacity and the available nitrogen, available phosphorus and available potassium contents in the rhizosphere soil of the tea trees decreased significantly with decreasing soil pH levels (5.32–3.29), while the total nitrogen, total phosphorus and total potassium contents did not change significantly. The results of an aroma quality analysis showed that the aroma of the Tieguanyin tea was mainly floral, and the formation of floral odor characteristics was mainly derived from geraniol. The results of an interaction network analysis showed that the soil chemical indexes were significantly positively correlated with geraniol and floral aromas except for the total phosphorus and total potassium contents. In conclusion, with a decrease in the pH of soil, the soil’s cation exchange capacity, organic matter content and available nutrient content showed decreasing trends which, in turn, hindered the synthesis of geraniol and reduced the floral odor characteristics of tea leaves.","PeriodicalId":48587,"journal":{"name":"Agriculture-Basel","volume":"49 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79774033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}