bluuebunny/crossref_metadata_2025 huggingface dataset:
Perceived insufficient pedagogical content knowledge in teaching movement and physical activity. Experiences from an action-oriented study among educators in early childhood education and care
Authors: Sollerhed Ann-Christin
Published: January 2023

Movement and physical activity (MoPA) are critical to children's health and development. Many children aged 1–5 years are enrolled in Early Childhood Education and Care (ECEC) in Sweden, and high expectations are placed on educators to deliver education of sufficient quality to support children's development. The aim of the 18-month-long action-based study was to investigate how 88 ECEC educators in five preschools perceived and experienced the priority and teaching of MoPA. The educators planned and implemented MoPA sessions among children. They filmed sequences from the sessions, which were shown in the focus groups and were the starting point for the collegial discussions. Content analysis of the focus group discussions revealed three themes: Teaching aspects; Educational aspects; Structural aspects, with associated subthemes. During the project with the trial-and-error MoPA teaching, the educators detected insufficient PCK to teach MoPA and that teaching was often replaced with free play. Increased metacognition made the educators aware of children's different MoPA levels and that free play did not always increase all children's skills. The perceived insufficient pedagogical content knowledge to teach MoPA was perceived as a troublesome barrier for promoting MoPA. During the project, the educators' metacognition about MoPA increased, which made the educators aware of children's different MoPA levels and that free play did not always increase all children's skills. Despite of increased metacognition, most of the educators were not ready to leave their comfort zones and were not open to extra work or effort when it came to MoPA. However, the educators demonstrated the need for improved education in MoPA in early childhood teacher education, as well as the need for continuous education for working educators in ECEC to enhance the pedagogic content knowledge for adequate teaching in MoPA, which is important for children's present development and future health.
Diversity, antimicrobial production, and seasonal variation of honey bee microbiota isolated from the honey stomachs of the domestic honey bee, Apis mellifera
Authors: Mundo Melissa A. , Xiong Zirui Ray , Galasong Yupawadee , Manns David C. , Seeley Thomas D. , Vegdahl Ann Charles , Worobo Randy W.
Published: January 2023

The antimicrobial nature of honey and its related apiological origins typically focus on basic chemical analysis without attempting to understand the diversity of the microbial component. The antibacterial activity, chemical characterization, and diversity of bacteria isolated from Apis mellifera honey stomachs and hive honey collected throughout the honey production season are presented. After screening >2,000 isolates, 50 isolates were selected and characterized by 16S rRNA gene homology, Gram stain, catalase and protease tests, as well as for antibacterial activity against select indicators. Antibacterial-producing isolates were predominantly from the Pseudomonas, Paenibacillus, Lonsdalea, Serratia, and Bacillus genera. Isolates collected from honey stomachs in April displayed the highest level of activity (27%). While April isolates did not demonstrate activity against the Gram-negative bacteria tested. Whereas 59% of July isolates, 33% of September isolates, and 100% of the honey isolates did. The predominant honey stomach isolates were Pseudomonas spp. (April), Paenibacillus polymyxa (July, Sept.), and Lonsdalea iberica (Sept.). Chemical characterizations of the antimicrobial compounds show most to be antibiotic in nature with the minority being potential bacteriocins. This study offers the first glimpse into the variability and diversity of the bacteria/host interactions found within the honey stomach of the domestic honey bee while revealing a novel source of potentially beneficial antimicrobial compounds.
A novel internal fixation technique for the treatment of olecranon avulsion fracture
Authors: Qi Hongfei , Li Zhong , Ma Teng , Du Bing , Ren Cheng , Xu Yibo , Huang Qiang , Zhang Kun , Lu Yao , Li Ming
Published: January 2023

Objective

Tension band wiring and proximal ulnar plate fixation are commonly used fixation methods for olecranon fractures. However, they may not be suitable for repairing proximal olecranon avulsion fractures. In this study, we present a novel fixation technique for the treatment of proximal avulsion fractures, which is a T-shaped plate combined with a wire.

Materials and methods

Between March 2016 and May 2020, surgery was performed on 16 patients with proximal olecranon avulsion fractures by using a T-shaped plate combined with a wire fixation at our hospital. The parameters followed were fracture healing time, elbow range of motion (ROM), related functional scores (the Mayo score and the DASH score), and complications related to internal fixation.

Results

The average follow-up period was 17 (14–21) months and fractures had healed in all patients included in the study, with an average fracture union of 9.25 (8–12) weeks. No patient reported fixation failure, serious infection, or revision surgery. The average ROM of the elbow joint was 123° (120–135°). The Mayo score was excellent in 11 patients and good in 5. The average DASH score was 17.75 (12–24).

Conclusion

Olecranon avulsion fractures were fixed with a T-shaped steel plate combined with a steel wire, which can be used for early functional exercise and for achieving good final functional results. This method can provide stable fixation, especially in elderly patients with osteoporosis.
Interval time between neoadjuvant chemotherapy and surgery in advanced gastric cancer doesn't affect outcome: A meta analysis
Authors: Zhai Yuhao , Zheng Zhi , Deng Wei , Yin Jie , Bai Zhigang , Liu Xiaoye , Zhang Jun , Zhang Zhongtao
Published: January 2023

Background

The efficacy of neoadjuvant chemotherapy for advanced gastric cancer is not yet firmly confirmed, but the exciting results demonstrated in several clinical studies have led neoadjuvant chemotherapy as the important treatment methods in guidelines. The 4–6 weeks interval time is currently the most commonly used in clinical treatment, but there are insufficient studies to support this time and the optimal interval has not yet been identified. The aim of this meta-analysis was to investigate the short-term life quality and long-term prognostic impact of the interval time between the end of neoadjuvant chemotherapy and surgery in patients with advanced gastric cancer.

Methods

We conducted a systematic literature search in PUBMED, Embase and Cochrane Liabrary for studies published or reported in English from January 2006 to May 2022. We summarised relevant studies for the time to surgery (TTS), included as retrospective studies and prospective studies. The primary study outcome was the rate of pathological complete response (pCR), and the secondary outcomes included R0 resection rate, incidence of serious postoperative complications, 3-year progression free survival time (PFS) rate and overall survival time (OS) rate. TTS were classified in three groups: 4–6 weeks, <4 weeks and >6 weeks. The ratio ratios (ORs) were calculated and forest plots and funnel plots were made to analysis by using fixed-effect and random-effect models in Review Manager 5.2.

Results

A total of five studies included 1,171 patients: 411 patients in shorter TTS group (<4 weeks), 507 patients in medium TTS group (4–6 weeks) and 253 patients in longer TTS groups (>6 weeks). And The results of our meta-analysis indicate that there are no significant difference between the three groups. The pCR, R0 resection rate, incidence of serious postoperative complications, 3-year PFS and OS were similar between three groups.

Conclusions

Although there many studies exploring the suitable TTS in advanced gastric cancer, but we have not find the evidence to prove the TTS is the risk factor influencing the outcome.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022369009
Clinical effects of laparoscopic surgery for the treatment of endometriosis and endometriosis-fertility: A retrospective study of 226 cases
Authors: Li Haiyan , Han Yingxue , Cai Yuru , Su Xiaojuan , Tan Lixia
Published: January 2023

Introduction

To determine the clinical effects of laparoscopic surgery (LS) in the treatment of endometriosis and endometriosis-fertility.

Methods

Two hundred twenty-six patients with endometriosis who underwent LS (LS group, n = 176) or laparotomy (LT group, n = 50) at the Third Hospital of Shijiazhuang City from June 2011 to June 2013 were included in this study, and their clinical outcomes for endometriosis and infertility were compared. All patients were followed up for 1 year after surgery to determine postoperative pregnancies in patients with endometriosis.

Results

The operative times between the LS and LT groups were not significantly different (P > 0.05); however, the length of stay in the hospital and blood loss in the LS group were significantly different from the LT group (P < 0.05). The incidence of postoperative symptoms were lower in the LS group than the LT group (P < 0.05). The postoperative pregnancy rates in the two groups were significantly different, including the infertility patients (P < 0.05).

Conclusions

Compared with LT, LS significantly reduced pain and improved the quality of life in women with endometriosis. These results can provide a reference for the clinical treatment of endometriosis.
Prognostic value of the ascites characteristics in pseudomyxoma peritonei originating from the appendix
Authors: Wang Bing , Sun Xibo , Ma Ruiqing , Yang Zhenpeng , Tang Huazhen , Lu Shuai , Qu Jinxiu , Wang Yuying , Rao Benqiang , Xu Hongbin
Published: January 2023

Background

Pseudomyxoma peritonei (PMP) is a rare disease, with the overall survival (OS) influenced by many factors. To date, no ascites characteristics have been reported to predict OS of patients with PMP. The present study therefore aims to describe the ascites characteristics for PMP and identify prognostic factors for survival.

Methods

Between June 2010 and June 2020, 473 PMP patients who underwent cytoreductive surgery and hyperthermic intraperitoneal chemotherapy were included in a retrospective study. Survival analysis was performed with the Kaplan–Meier method by the log-rank test and a Cox proportional hazards model. Associations between categorical variables were analyzed using the chi-squared test.

Results

Among all included patients, 61% were women. The median OS was 47 months (range, 4–124 months) at the last follow-up in December 2020. Ascites characteristics can be divided into light blood ascites, “Jelly” mucus ascites, and faint yellow and clear ascites. Multivariate Cox analysis showed that the degree of radical surgery, ascites characteristics, and pathological grade were independently associated with OS in PMP patients. The chi-squared test documented that faint yellow “Jelly” ascites were related to low-grade PMP and light blood ascites were associated with high-grade PMP (P < 0.01).

Conclusions

Light blood ascites, incomplete cytoreduction surgery, and high-grade histopathology may predict poor OS in appendix-derived PMP.
Electric field assisted reduction of NOx emission: A numerical study
Authors: Ahmed Sheikh F. , Aghdam Ali Charchi , Pleis Jackson , Geiger Robert , Farouk Tanvir I.
Published: January 2023

The paper reports simulation results on the influence of a direct-current driven radial electric field on the emission characteristics; especially NOx and CO of a premixed methane/air laminar jet flame. A multi-physics computational model is developed in the OpenFOAM framework to simulate electric-field-coupled premixed combustion process. The computational framework consists of coupled species, momentum and energy conservation together with a Poisson’s equation solver to resolve the electric field distribution. Electron and ion conservation equations are resolved to consider the ionic wind body force in the momentum conservation equation and the associated possible electric field distortion due to the space charge distribution. The simulations are conducted for a stochiometric and fuel rich condition and over a range of jet flow rates for a configuration representative of a test-scale experimental setup. The model predictions show that for an applied voltage of 50 kV, the flame structure changes significantly for both the stoichiometric and fuel rich conditions. The flame is stretched significantly by the electric field due to ionic wind. For the fuel rich condition, the ionic wind allows additional mixing of the fuel rich stream with the surrounding air and drastically altering the flame structure. The electric field was found to reduce the NOx emission significantly for both stoichiometric and rich conditions. Over the entire range of flowrate conditions, the stochiometric fuel-oxidizer mixture showed a decrease in maximum NOx by a factor of 1.6 in presence of electric field. For the fuel rich case, however as the flow rate is increased, the NOx reduction factor decreased from 12.0 to 1.6. For CO emissions, the presence of electric field reduces the concentration under fuel rich conditions and vice versa for the stoichiometric flame. The role of kinetics is analyzed and discussed.
Flow Control around NACA0015 Airfoil Using a Dielectric Barrier Discharge Plasma Actuator over a Wide Range of the Reynolds Number
Authors: Sekimoto Satoshi , Fujii Kozo , Anyoji Masayuki , Miyakawa Yuma , Ito Shinichiro , Shimomura Satoshi , Nishida Hiroyuki , Nonomura Taku , Matsuno Takashi
Published: January 2023

In this study, an experimental investigation of separation control using a dielectric barrier discharge plasma actuator was performed on an NACA0015 airfoil over a wide range of Reynolds numbers, angles of attack, and nondimensional burst frequencies. The range of the Reynolds number was based on a chord length ranging from 2.52 × 105 to 1.008 × 106. A plasma actuator was installed at the leading edge and driven by AC voltage. Burst mode (duty-cycle) actuation was applied, with the nondimensional burst frequency ranging between 0.1–30. The control authority was evaluated using the time-averaged distribution of the pressure coefficient Cp and the calculated value of the lift coefficient Cl. The baseline flow fields were classified into three types: (1) leading-edge separation; (2) trailing-edge separation; and (3) the hysteresis between (1) and (2). The results of the actuated cases show that the control trends clearly depend on the differences in the separation conditions. In leading-edge separation, actuation with a burst frequency of approximately F+= 0.5 creates a wide negative pressure region on the suction-side surface, leading to an increase in the lift coefficient. In trailing-edge separation, several actuations alter the position of turbulent separation.
A Cucumber Photosynthetic Rate Prediction Model in Whole Growth Period with Time Parameters
Authors: Wei Zichao , Wan Xiangbei , Lei Wenye , Yuan Kaikai , Lu Miao , Li Bin , Gao Pan , Wu Huarui , Hu Jin
Published: January 2023

Photosynthetic rate prediction models can provide guidance for crop photosynthetic process optimization, which has been widely used in the precise regulation of the protected environment. The photosynthetic capacity of crops continuously changes during their whole growth process. Previous studies on photosynthetic models mainly consider the interaction between a crop’s photosynthetic rate and its outer environmental conditions and have been able to predict a crop’s photosynthetic rate in a certain growth period. However, photosynthetic rate prediction models for whole growth periods have not been proposed yet. To solve this question, this paper introduces growing time into a variable set and proposes a method for building a cucumber photosynthetic rate prediction model of whole growth periods. First, the photosynthetic rate of cucumber leaves under different environmental conditions (light, temperature, and CO2 concentration) during the whole growth period was obtained through a multi-gradient nested test. With the environmental data and the cultivation time as the inputs, a photosynthetic rate prediction model was built using the Support Vector Regression algorithm. In order to obtain better modeling results, multiple kernel functions were used for pretraining, and the parameters of the Support Vector Regression algorithm were optimized based on multiple population genetic algorithms. Compared with a Back Propagation neural network and Non-linear Regression method, the Support Vector Regression model optimized had the highest accuracy, with the coefficient of determination of the test set was 0.998, and the average absolute error was 0.280 μmol·m−2·s−1, which provides a theoretical solution for the prediction of the cucumber photosynthetic rate during the whole growth period.
Effects of Homogenization on Organoleptic Quality and Stability of Pasteurized Milk Samples
Authors: Shao Yiwei , Yuan Yiting , Xi Yanmei , Zhao Tong , Ai Nasi
Published: January 2023

The organoleptic quality and stability of pasteurized milk are closely related to consumption choices. Our study investigated the effects of different homogenization pressures on the organoleptic quality and stability of pasteurized milk during shelf life. The three homogenization pressures used in this work were 0, 150, and 300 bar. The three homogenization times were 40 s, 56 s, and 60 s respectively. The sensory quality and stability of pasteurized milk after storage for 8, 72, and 168 h were investigated by sensory description experiment, electronic nose technology, and physical properties (such as stability, color, and particle size). The results showed that, at the same storage time, different homogenization pressures had prominent effects on the creamy, milk, fat, and fresh milk flavors of pasteurized milk, together with different effects on the stability of pasteurized milk. The pasteurized milk samples stored for 8 h under the three homogenization pressures had a good fresh milk flavor, and its strong fat flavor affected the taste. The pasteurized milk samples stored for 72 h under 150-bar homogenization pressure had uniform texture, excellent milk flavor, and delicious taste, and the stability of milk reached the best state. Pasteurized milk samples stored for 168 h under three homogenization pressures had increased metallic, sour, and salty tastes in varying degrees, affecting the flavor quality and stability of milk. In short, the organoleptic quality and stability of pasteurized milk samples stored for 72 h under 150-bar homogenization pressure (ML72) were the most optimal. The results provide a scientific theoretical basis for improving product organoleptic quality and stability, which may inspire a new production strategy to innovate pasteurized milk product. This study examined the impact of different homogenization pressures (0, 150, and 300 bar) on the organoleptic quality and stability of pasteurized milk during shelf life (8, 72, and 168 h).
Optimal Design of Agricultural Mobile Robot Suspension System Based on NSGA-III and TOPSIS
Authors: Qu Zhanghao , Zhang Peng , Hu Yaohua , Yang Huanbo , Guo Taifeng , Zhang Kaili , Zhang Junchang
Published: January 2023

The stability of vehicles is influenced by the suspension system. At present, there are many studies on the suspension of traditional passenger vehicles, but few are related to agricultural mobile robots. There are structural differences between the suspension system of agricultural mobile robots and passenger vehicles, which requires structural simplification and modelling concerning suspension of agricultural mobile robots. This study investigates the optimal design for an agricultural mobile robot’s suspension system designed based on a double wishbone suspension structure. The dynamics of the quarter suspension system were modelled based on Lagrange’s equation. In our work, the non-dominated sorting genetic algorithm III (NSGA-III) was selected for conducting multi-objective optimization of the suspension design, combined with the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) to choose the optimal combination of parameters in the non-dominated solution set obtained by NSGA-III. We compared the performance of NSGA-III with that of other multi-objective evolutionary algorithms (MOEAs). Compared with the second-scoring solution, the score of the optimal solution obtained by NSGA-III increased by 4.92%, indicating that NSGA-III has a significant advantage in terms of the solution quality and robustness for the optimal design of the suspension system. This was verified by simulation in Adams that our method, which utilizes multibody dynamics, NSGA-III and TOPSIS, is feasible to determine the optimal design of a suspension system for an agricultural mobile robot.
Recent Advances in Carbon and Activated Carbon Nanostructured Aerogels Prepared from Agricultural Wastes for Wastewater Treatment Applications
Authors: Muhammad Syaifullah , Yahya Esam Bashir , Abdul Khalil H. P. S. , Marwan M. , Albadn Yonss M.
Published: January 2023

The global demand for clean water has become increasingly important in the past decade as a result of the growing world population, civilization, and the increase in sources of contaminations. Aerogels are an exceptional form of porous materials with extraordinary unique properties. The aerogel has been fabricated from different inorganic and organic materials and incorporated with a variety of novel compounds for specific applications and to enhance its performance in the desired application. Activated carbon is well known for its water-pollutant adsorption, it has been prepared from several organic materials including agricultural wastes and used to treat water from organic dyes, heavy metals, oils, and toxic chemicals. However, as a powder form, activated carbon must be incorporated either into a filter or undergo a post-treatment step to remove the adsorbent from treated water. This review highlighted the development of agricultural waste-based carbon and activated carbon loaded nano-structured aerogels. A review of the types of aerogels and the properties based on the precursor materials was conducted to extensively discuss the potential use of agricultural waste-based carbon and activated carbon loaded nano-structured aerogels in wastewater treatment applications. We also discussed the challenges and future prospects of carbon and activated carbon nano-structured aerogels for wastewater treatment applications.
Early Identification and Localization Algorithm for Weak Seedlings Based on Phenotype Detection and Machine Learning
Authors: Xu Shengyong , Zhang Yi , Dong Wanjing , Bie Zhilong , Peng Chengli , Huang Yuan
Published: January 2023

It is important to propose the correct decision for culling and replenishing seedlings in factory seedling nurseries to improve the quality of seedlings and save resources. To solve the problems of inefficiency and subjectivity of the existing traditional manual culling and replenishment of seeds, this paper proposes an automatic method to discriminate the early growth condition of seedlings. Taking watermelon plug seedlings as an example, Azure Kinect was used to collect data of its top view three times a day, at 9:00, 14:00, and 19:00. The data were collected from the time of germination to the time of main leaf growth, and the seedlings were manually determined to be strong or weak on the last day of collection. Pre-processing, image segmentation, and point cloud processing methods were performed on the collected data to obtain the plant height and leaf area of each seedling. The plant height and leaf area on the sixth day were predicted using an LSTM recurrent neural network for the first three days. The R squared for plant height and leaf area prediction were 0.932 and 0.901, respectively. The dichotomous classification of normal and abnormal seedlings was performed using six machine learning classification methods, such as random forest, SVM, and XGBoost, for day six data. The experimental results proved that random forest had the highest classification accuracy of 84%. Finally, the appropriate culling and replenishment decisions are given based on the classification results. This method can provide some technical support and a theoretical basis for factory seedling nurseries and transplanting robots.
Time, Spatial and Component Characteristics of Agricultural Carbon Emissions of China
Authors: Li Shulong , Wang Zhizhang
Published: January 2023

In this study, the time trend, regional distribution and component characteristics of the agricultural carbon emissions (ACEs) of China are analyzed. The estimation methods of each component of the ACE are introduced. According to the annually provincial panel data set with the 31 provinces from 1996 to 2019, the time trend, regional distribution and component characteristics are empirically discussed. Meanwhile, since it is also worthwhile to explore the effect of the ACE on economic growth, econometric models such as the pooled ordinary least squares (OLS) and fixed effect (FE) models are employed to examine the inverted “U”-shape effect of ACE on both of the agricultural GDP and GDP under the control of other variables. The results show that (1) the carbon emission started to fall after 2015; (2) the majority source of the agricultural carbon emission is caused by chemical fertilizer, which is approximately half of the total; (3) the current provincial ACE levels (0.287 ×1010 kg in 2019) are significantly smaller than the estimated optimal level for agricultural GDP as well as GDP (respectively, 1.003×1010 kg and 1.256×1010 kg). In light of this, environmental protection and agricultural development are currently conflicted. Therefore, we suggest that the government should accept a trade-off between economic growth and the quality of the environment.
Screening and Identification of the Rhizosphere Fungal Communities Associated with Land Reclamation in Egypt
Authors: Nafaa Mostafa , Rizk Samah Mohamed , Aly Tahany Abdel-Ghafar Ahmed , Rashed Mohamed Abdel-Salam , Abd El-Moneim Diaa , Ben Bacha Abir , Alonazi Mona , Magdy Mahmoud
Published: January 2023

Soil fungi are a wide range of microorganisms that play an essential role in enhancing the available nutrients in the soil for plants. In the current study, to study the fungal association with newly reclaimed land in Egypt, 22 composite soil samples were screened and characterized from citrus and olive orchard soil in contrast to a control soil that had never been cultivated (a nearby desert). The isolates were identified and tested for P solubilization and IAA production to highlight their potential as biofertilizers while the sampled soil was characterized. The physicochemical characteristics of the orchard’s soil sample had a high relative mean moisture content, and the C/N ratio were 45.24% and 16.8% compared with desert lands of 32.80% and 8.12%, respectively, while a higher pH was recorded for desert lands. A total of 272 fungal isolates yielded 27 filamentous fungal species. Based on ITS molecular identification, the 27 isolates belonged to phyla Ascomycota, from eight genera. Twelve species were positive in producing a phosphate clearance zone around the fungal colony growth, while ten species were able to release IAA in vitro with different tryptophan concentrations under different pH values. When known pathogenic fungi were excluded, Aspergillus tubingensis and A. fumigatus were the highest IAA producers and can solubilize phosphorus. The screening and identification of the fungal diversity of the newly reclaimed land provided insights into potential phosphate solubilizers and plant phytohormones producers (i.e., IAA). Overall, the obtained results can provide primary knowledge that indicates the great potential fungal ability to develop biofertilizers for application in improving the production of immature soil for agriculture reclamation processes and practices.
Will Social Network Relationship Significantly Enhance Farmers’ Participation in the Supply of Small Water-Saving Irrigation and Water Conservancy Facilities in China?
Authors: Wang Lei , Zhao Yiwen
Published: January 2023

The supply level of irrigation and water conservancy is related to the utilization efficiency of water resources, the production level of farmers, and the supply quality of agricultural products, especially relating to national food security and stability. Based on 1169 pieces of data collected from field surveys in three provinces of China in 2019, an evaluation system of social network relationships was constructed from five aspects: network scale, network tightness, trust and commitment, social atmosphere and sense of belonging, and social participation. These five aspects are the channels for farmers to obtain information. A binary logistic model was used to analyze the impact of the social network relationships on farmers’ participation in small water-saving irrigation and water conservancy facilities supply, and the key factors affecting farmers’ behavior were selected. The purpose of this study is to further improve the evaluation system of social network relationships and the study of the effect of social network relationships on farmers’ water-saving behaviors, enrich relevant theories and provide a feasible path for the implementation of water-saving irrigation from the macro initiative level. The results show that higher network closeness and policy satisfaction, water management experience, agricultural insurance, strong family decision-making power, etc., will reduce the likelihood of farmers participating in the supply of small water-saving irrigation and water conservancy facilities; increasing network compactness will increase the possibility of farmers’ participation in the supply; trust and commitment, social ethos and sense of belonging, social participation, and other factors have no significant influence on farmer participation behavior. It can be seen that network tightness and network scale play an important role in the behavior of farmers’ participation in public affairs. In conclusion, social network relationships will affect farmers’ participation in the supply of irrigation and water conservancy facilities, but different dimensions have different influences on it.
Amelioration of Hypothermia-Induced Damage on Peanut by Exogenous Application of Chitooligosaccharide
Authors: Shi Xinlong , Sun Ziqi , Xue Xian , Xu Huimin , Wu Yue , Zhang Ya , Yang Yueqin , Han Suoyi , Zhao Ruifang , Zhang Mengyuan , Zhang Xinyou
Published: January 2023

Low temperature is the most common abiotic stress factor in peanut cultivation. Chitooligosaccharide (COS) plays an important role in the low-temperature resistance in plants, however, the role of COS in regulating the cold tolerance in peanuts is not clear. This research investigated the effects of exogenous COS on peanut seedlings in response to low temperatures. The results showed that exogenous COS can significantly alleviate the cooling symptoms of seedlings by reducing the content of malondialdehyde (MDA) and reactive oxygen species (ROS) under simulated low-temperature conditions (8 °C). These reductions may be related to the elevation of superoxide dismutase (SOD), peroxidase (POD), catalase (CAT) and polyphenoloxidase (PPO) activities and the increased contents of osmotic substances such as soluble sugars (SS), soluble protein (SP), proline (Pro), and total phenols (TP) compared with those in untreated seedlings. Meanwhile, the contents of chlorophyll a and b in a peanut leaf also increased, as well as the net photosynthetic rate (Pn), resulted in an increased plant height, a heavier fresh weight, and an increased dry weight. Notably, the treatment of 100 mg·L−1 COS had maximum gain effects compared with those of other treatments. In summary, this study revealed the usage of COS for chilling stress alleviation, and 100 mg L−1 foliar spraying is recommended.
Integration of Grape-Duck Production Pattern Boosts Duck Behavior, Meat Quality, Fecal Microbiota and Soil Microorganisms
Authors: Zhou Ye , Yan Chao , Chen Di , Zhang Chengde , Zhao Xingbo
Published: January 2023

The combination of planting and breeding, an agricultural production system, makes full use of land, ecological space and time, increasing the utilization rate and yield of both plant and animal production. This experiment aimed to explore the effects of the grape-duck farming system by analyzing behavior, meat quality, and fecal microbiota of ducks and the soil microbiota. The results differed significantly on the expressions of positive behaviors between the breeding group and the combination of planting and breeding group, including actions of foraging, feeding and walking (p < 0.05), while the free-range group showed more stereotyped behavior of no apparent purpose or significance. In terms of meat quality, the yellow value b* of the combination group was significantly higher than that of the free-range group (p < 0.05). The drip loss rate of the planting and breeding group was 1.80%, and the drip loss rate of the combination group was 3.80%, with a significant difference (p < 0.05). The combination of planting and rearing increased the alpha diversity of soil microbiota (p < 0.05), but it had no obvious effect on the fecal microbiota of ducks. PCoA showed that soil microorganisms and fecal microbiota are obviously separated and clustered. In conclusion, the combination production mode of “grape-duck” had a positive effect on duck behavior, meat quality, and soil microorganisms, however, it changed virtually nothing in duck production performance and fecal microbiota.
Impact of Internet Use on Farmers’ Organic Fertilizer Investment: A New Perspective of Access to Credit
Authors: Weng Feilong , Liu Xuan , Huo Xuexi
Published: January 2023

Encouraging farmers to increase the use of organic fertilizer will be conducive to promoting the green transformation of farmers’ production and realize sustainable agricultural development. As a long-term investment, the accuracy of farmers’ access to organic fertilizer information and the supporting role of credit are important factors that affect their organic fertilizer application decisions. However, the existence of information asymmetry in the organic fertilizer market and the credit constraints in the financial market, which restricts the enthusiasm of farmers to apply organic fertilizer. In recent years, the rapid development of the Internet in China’s rural areas has effectively alleviated the degree of information asymmetry in rural areas, and improved farmers’ access to credit, which provides a new opportunity for farmers to increase the application rate of organic fertilizer. This study takes 1030 apple growers in the main apple production areas of China as the research object, and employs Tobit model, IV-Tobit model and mediation effect model to explore the impact of internet use on farmers’ organic fertilizer investment. The results show that internet use can promote farmers’ organic fertilizer investment. After addressing the endogeneity issue and the robustness test, the conclusion is still robust. Heterogeneity analysis shows that internet use has a more significant impact on organic fertilizer investment in the older generation and the large-scale group of farmers. The mechanism analysis shows that internet use affects farmers’ organic fertilizer investment through improving access to credit. Therefore, it is necessary to continuously improve the construction of rural digital infrastructure, accelerate the development of the Internet in rural areas, and actively guide financial resources to agriculture, so as to effectively promote the green transformation of agricultural production.
Genetic Diversity Analysis of Non-Heading Chinese Cabbage of Resistance to Clubroot Disease Based on SNP Molecular Markers
Authors: Miao Liming , Xi Dandan , Li Xiaofeng , Zhang Changwei , Gao Lu , Li Ying , Zhu Yuying , Zhu Hongfang
Published: January 2023

Clubroot disease is a kind of soil-borne disease that seriously infects Brassica species. In this study, we collected 121 varieties of non-heading Chinese cabbages. In order to better understand the genetic variation and to screen suitable clubroot disease-resistant parental material, we re-sequenced them to examine the population genetic structure, population genetic diversity, population differentiation index, and selective sweep based on SNPs. The mapping rate with the reference genome was high, and data quality analysis revealed that the sequencing quality was good. The annotated data indicated that intronic and intergenic areas held the majority of SNPs and indels. Four subgroups of 121 non-heading Chinese cabbages were identified using principal component analysis, phylogenetic tree, and genetic structure analysis. An examination of genetic diversity revealed that while selfing may happen in subgroups C and D, heterozygosity may exist in subgroups A and B. In subgroup B, self-fertilization is not possible. There was a moderate degree of genetic differentiation between subgroups B and C (Fst = 0.0744347). For genes in certain sweep regions, we also ran GO enrichment and KEGG enrichment analysis. Two disease resistance-related genes, BraA01g042910.3.5C and BraA06g019360.3.5C, were examined. These findings will serve as a theoretical foundation for developing novel, clubroot disease-resistant types of non-heading Chinese cabbages.
Light Intensity and Growth Media Influence Growth, Nutrition, and Phytochemical Content in Trachyandra divaricata Kunth
Authors: Tshayingwe Ayakha , Jimoh Muhali Olaide , Sogoni Avela , Wilmot Carolyn Margaret , Laubscher Charles Petrus
Published: January 2023

Trachyandra divaricata (Sandkool) is one of the most abundant wild edible inflorescence vegetables in South Africa. The dearth of literature on its edibility, nutrient composition, and conservation has contributed to its underutilisation. This study investigated mineral and proximate content, phytochemical compositions, and growth response of T. divaricata to light intensity and soilless media. Treatments comprised four media (LECA clay, silica sand, peat, and vermiculite) which were subjected to different shade levels (no shade, 20, 40, 60, and 80%) created from a factory-made 20% density net by doubling (40%), tripling (60%), and quadrupling (80%). All treatments were irrigated with a standard nutrient solution. The results showed that the treatments impacted the yield of T. divaricata significantly in terms of biomass and flower buds, especially in plants cultivated in peat under normal greenhouse lighting (no shade). Conversely, plants developed significantly more specific leaf size and total chlorophyll content under shade levels (20, 40, 60, and 80%) in different growth media, even though the values were comparable among treatments. The highest Ca, Mg, Cu, Fe, and Mn levels were consistently recorded in flowers of T. divaricata grown in LECA clay under 80% shade level, while other minerals varied in tested treatments. The peat medium under 20% shade optimised the neutral detergent fibre (NDF) and acid detergent fibre (ADF) content of the flowers, whereas both fat and protein contents were greatly enhanced by peat and vermiculite, respectively, under the 80% shade. Consistently, the lowest phytochemical contents were recorded in LECA clay subjected to 80% shade, whereas the highest polyphenols and DPPH antioxidants were produced by silica sand medium treated with 20% shade. Both TEAC and FRAP antioxidants were improved significantly in LECA clay under no shade and the 60% shade level. However, both 20% and 60% shade levels enhanced the flavonol content significantly. On the basis of these findings, T. divaricata is a promising inflorescent vegetable that may be considered for domestication and further research due to its potential pharmacological and nutraceutical values.
An Experimental Study on the Effect of Cutting Angle on the Growth of Grafted Watermelon Seedlings Using the One-Cotyledon Grafting Method
Authors: Liang Huan , Jiang Kai , Shi Xianfeng , Zhu Juhong , Liu Jiangfeng , Wang Dehuan , Ge Mihong , Zhou Mobing , Shan Feifei
Published: January 2023

The labor-efficient automation of grafting has been recognized as a key factor in the wider adoption of grafting. In growing cucurbits, the root pruned one-cotyledon grafting method is the most commonly used method with grafting machines. The cutting angle, which affects the matching of the rootstock and scion, is key to the survival of the graft seedling. In the production of cucurbit graft seedlings, the cutting parameters are established based on experience, leading to low grafting success. To determine accurate cutting parameters, the watermelon cv. ‘Zaojia84-24′ was used as the scion and the pumpkin cv. ‘Zhenzhuang’ was used as rootstock, and two one-way experiments investigating the cutting angle of the watermelon scion and the rootstock as factors were conducted. The cutting angle of the rootstock and scion had no significant effect on the xylem reconnection rate or the grafting survival rate. A larger cutting angle for the rootstock and scion led to a delay in the reconnection of the phloem. Different cutting angles for the scion significantly affected the growth of the scion after grafting. Compared with a scion graft cutting angle of 10° (SL), graft cutting angles of 14° (SM) and 20° (SS) led to significantly greater scion dry weights, with increases of 16.00% and 18.61%, respectively. Different cutting angles of the rootstock significantly affected the growth of roots after grafting. Compared with a rootstock graft cutting angle of 10° (RL), graft cutting angles of 17° (RM) and 27° (RS) led to significantly greater root dry weights, with increases of 29.33% and 22.54%, respectively. The results of this study can provide a reference for the design of cutting mechanisms for cucurbit grafting robots, improving the cutting precision of grafting robots.
Identification of Stripe Rust and Leaf Rust on Different Wheat Varieties Based on Image Processing Technology
Authors: Wang Hongli , Jiang Qian , Sun Zhenyu , Cao Shiqin , Wang Haiguang
Published: January 2023

The timely and accurate identification of stripe rust and leaf rust is essential in effective disease control and the safe production of wheat worldwide. To investigate methods for identifying the two diseases on different wheat varieties based on image processing technology, single-leaf images of the diseases on different wheat varieties, acquired under field and laboratory environmental conditions, were processed. After image scaling, median filtering, morphological reconstruction, and lesion segmentation on the images, 140 color, texture, and shape features were extracted from the lesion images; then, feature selections were conducted using methods including ReliefF, 1R, correlation-based feature selection, and principal components analysis combined with support vector machine (SVM), back propagation neural network (BPNN), and random forest (RF), respectively. For the individual-variety disease identification SVM, BPNN, and RF models built with the optimal feature combinations, the identification accuracies of the training sets and the testing sets on the same individual varieties acquired under the same image acquisition conditions as the training sets used for modeling were 87.18–100.00%, but most of the identification accuracies of the testing sets for other individual varieties were low. For the multi-variety disease identification SVM, BPNN, and RF models built with the merged optimal feature combinations based on the multi-variety disease images acquired under field and laboratory environmental conditions, identification accuracies in the range of 82.05–100.00% were achieved on the training set, the corresponding multi-variety disease image testing set, and all the individual-variety disease image testing sets. The results indicated that the identification of images of stripe rust and leaf rust could be greatly affected by wheat varieties, but satisfactory identification performances could be achieved by building multi-variety disease identification models based on disease images from multiple varieties under different environments. This study provides an effective method for the accurate identification of stripe rust and leaf rust and could be a useful reference for the automatic identification of other plant diseases.
Soil Organic Carbon and Mineral Nitrogen Contents in Soils as Affected by Their pH, Texture and Fertilization
Authors: Kuśmierz Sebastian , Skowrońska Monika , Tkaczyk Przemysław , Lipiński Wojciech , Mielniczuk Jacek
Published: January 2023

Soil organic carbon (SOC) and mineral nitrogen (Nmin), especially nitrates (NO3−) in agroecosystems have attracted much attention over the past few decades due to their crucial roles in soil fertility, crop productivity, environmental quality, and/or climate change mitigation and adaptation. The aim of the study was to evaluate the contents of organic carbon, ammonium, and nitrate in soils under differentiated pH, texture, and fertilization rates. A large-scale environmental study was conducted in Polish arable lands. The spatial distribution of the sampling points reflected agricultural production conditions, variability of soil properties, and representativeness of textures that are characteristic of Poland. Our results indicated that SOC content was significantly affected by the soil pH and texture as well as mineral and organic fertilization. The same factors, except organic amendments, significantly supported mineral nitrogen concentration in the present study. The most important factors controlling SOC in the study were ranked as follows: soil pH > pre-crop N fertilization > crop N fertilization > N applied with manure > soil texture. In the case of N-NH4 and N-NO3, mineral fertilization was the most critical variable. The carbon and nitrogen governance in agroecosystems should consider the ranks of factors controlling their contents.
Optimization of In Vitro Propagation of Pear (Pyrus communis L.) ‘Pyrodwarf®(S)’ Rootstock
Authors: Kaviani Behzad , Barandan Azam , Tymoszuk Alicja , Kulus Dariusz
Published: January 2023

Pears are among the most economically important fruits in the world that are grown in all temperate zones. Pyrus communis L., ‘Pyrodwarf®(S)’ rootstock is one of the gene sources used to improve fruit productivity, rootstock resistance, and tolerance to biotic and abiotic stresses. Traditional propagation of P. communis L. is time-consuming and limited by a short growing season and harsh winter conditions. Therefore, in vitro propagation is a suitable alternative. Murashige and Skoog medium (MS) and woody plant medium (WPM) supplemented with different concentrations of 6-benzyladenine (BA) and kinetin (Kin), individually or in combination, were used for in vitro shoot proliferation. Nodal segments were used as explants. MS medium augmented with indole-3-butyric acid (IBA) or indole-3-acetic acid (IAA) was then used for rooting of microshoots. A combination of 2 mg·L−1 BA and 1 mg·L−1 Kin in MS medium resulted in a significant improvement in shoot proliferation. This combination produced the highest number of shoots (4.352 per explant) and leaves (10.02 per explant). The longest shoots (4.045 cm) were obtained in WPM enriched with 1 mg·L−1 BA. However, these shoots were not suitable for multiplication and rooting steps. The largest number of roots (5.50 per microshoot) was obtained on MS medium augmented with IAA at 1 mg·L−1. The produced plantlets were cultivated in pots filled with perlite and cocopeat (in a ratio of 1:3) and acclimatized gradually in a greenhouse, recording an even 90% survival rate.