Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231601.7639
Yue-li Jiang, Qiuying Huang, Guoshu Wei, Zhongjun Gong, Tong Li, J. Miao, Ruijie Lu, Shiqiong Mei, Xueqin Wang, Y. Duan, Yu-Qing Wu, Chuantao Lu
{"title":"Effects of yellow and green light stress on emergence, feeding and mating of Anomala corpulenta Motschulsky and Holotrichia parallela Motschulsky (Coleoptera: Scarabaeidae)","authors":"Yue-li Jiang, Qiuying Huang, Guoshu Wei, Zhongjun Gong, Tong Li, J. Miao, Ruijie Lu, Shiqiong Mei, Xueqin Wang, Y. Duan, Yu-Qing Wu, Chuantao Lu","doi":"10.25165/j.ijabe.20231601.7639","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231601.7639","url":null,"abstract":"","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86935676","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}
: Rice is one of the major crops in China, and enhancing the rice yield and water use efficiency is critical to ensuring food security in China. Determining how to optimize a scientific and efficient irrigation and drainage scheme by combining existing technology is currently a hot topic. Crop growth models can be used to assess actual or proposed water management regimes intended to increase water use efficiency and mitigate water shortages. In this study, a CERES-Rice model was calibrated and validated using a two-year field experiment. Four irrigation and drainage treatments were designed for the experiment: alternate wetting and drying (AWD), controlled drainage (CD), controlled irrigation and drainage for a low water level (CID1), and controlled irrigation and drainage for a high water level (CID2). According to the indicators normalized root mean square error (NRMSE) and index of agreement ( d ), the calibrated CERES-Rice model accurately predicted grain yield (NRMSE=6.67%, d =0.77), , shoot biomass (NRMSE=3.37%, d =0.77), actual evapotranspiration ( ET a ) (NRMSE=3.83%, d =0.74), irrigation volume (NRMSE=15.56%, d =0.94), and leaf area index (NRMSE=9.69%, d =0.98) over 2 a. The calibrated model was subsequently used to evaluate rice production in response to the four treatments (AWD, CD, CID1, and CID2) under 60 meteorological scenarios which were divided into wet years (22 a), normal years (16 a), and dry years (22 a). Results showed that the yield of AWD was the largest among four treatments in different hydrological years. Relative to that of AWD, the yield of CD, CID1, and CID2 were respectively reduced by 5.7%, 2.6%, 8.7% in wet years, 9.2%, 2.3%, 8.6% in normal years, and 9.2%, 3.8%, 3.9% in dry years. However, rainwater use efficiency and irrigation water use efficiency were the greatest for CID2 in different hydrological years. The entropy-weighting TOPSIS model was used to optimize the four water-saving irrigation schemes in terms of water-saving, labor-saving and high-yield, based on the simulation results of the CERES-Rice model in the past 60 a. These results showed that CID1 and AWD were optimal in the wet years, CID1 and CID2 were optimal in the normal and dry years. These results may provide a strong scientific basis for the optimization of water-saving irrigation technology for rice.
水稻是中国的主要作物之一，提高水稻产量和水分利用效率对确保中国的粮食安全至关重要。如何结合现有技术优化科学高效的排灌方案是当前研究的热点问题。作物生长模型可用于评估旨在提高用水效率和缓解水资源短缺的实际或拟议的水资源管理制度。在这项研究中，CERES-Rice模型通过为期两年的田间试验进行了校准和验证。试验设计4种灌排处理:干湿交替(AWD)、控制排水(CD)、低水位控制灌排(CID1)和高水位控制灌排(CID2)。根据归一化均方根误差(NRMSE)和一致性指数(d)，校正后的CERES-Rice模型准确预测了2 a内的籽粒产量(NRMSE=6.67%， d =0.77)、茎部生物量(NRMSE=3.37%， d =0.77)、实际蒸散量(ET a) (NRMSE=3.83%， d =0.74)、灌水量(NRMSE=15.56%， d =0.94)和叶面积指数(NRMSE=9.69%， d =0.98)。CID1和CID2)在60个气象情景下，分为湿润年(22 a)、正常年(16 a)和干旱年(22 a)。结果表明，在不同水文年的4个处理中，AWD产量最大。与AWD相比，CD、CID1和CID2的产量在丰水年分别降低5.7%、2.6%、8.7%，在平水年分别降低9.2%、2.3%、8.6%，在干旱年分别降低9.2%、3.8%、3.9%。但不同水文年CID2的雨水利用效率和灌溉水利用效率均最高。以CERES-Rice模型近60 a的模拟结果为基础，利用熵权TOPSIS模型对4种节水灌溉方案在节水、省力和高产方面进行优化。结果表明，CID1和AWD方案在丰水年最优，CID1和CID2方案在丰水年和干旱年最优。研究结果可为优化水稻节水灌溉技术提供有力的科学依据。
{"title":"Optimizing water-saving irrigation schemes for rice (Oryza sativa L.) using DSSAT-CERES-Rice model","authors":"Shikai Gao, Qiongqiong Gu, X. Gong, Yanbin Li, Shao-feng Yan, Yuanyuan Li","doi":"10.25165/j.ijabe.20231602.7361","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7361","url":null,"abstract":": Rice is one of the major crops in China, and enhancing the rice yield and water use efficiency is critical to ensuring food security in China. Determining how to optimize a scientific and efficient irrigation and drainage scheme by combining existing technology is currently a hot topic. Crop growth models can be used to assess actual or proposed water management regimes intended to increase water use efficiency and mitigate water shortages. In this study, a CERES-Rice model was calibrated and validated using a two-year field experiment. Four irrigation and drainage treatments were designed for the experiment: alternate wetting and drying (AWD), controlled drainage (CD), controlled irrigation and drainage for a low water level (CID1), and controlled irrigation and drainage for a high water level (CID2). According to the indicators normalized root mean square error (NRMSE) and index of agreement ( d ), the calibrated CERES-Rice model accurately predicted grain yield (NRMSE=6.67%, d =0.77), , shoot biomass (NRMSE=3.37%, d =0.77), actual evapotranspiration ( ET a ) (NRMSE=3.83%, d =0.74), irrigation volume (NRMSE=15.56%, d =0.94), and leaf area index (NRMSE=9.69%, d =0.98) over 2 a. The calibrated model was subsequently used to evaluate rice production in response to the four treatments (AWD, CD, CID1, and CID2) under 60 meteorological scenarios which were divided into wet years (22 a), normal years (16 a), and dry years (22 a). Results showed that the yield of AWD was the largest among four treatments in different hydrological years. Relative to that of AWD, the yield of CD, CID1, and CID2 were respectively reduced by 5.7%, 2.6%, 8.7% in wet years, 9.2%, 2.3%, 8.6% in normal years, and 9.2%, 3.8%, 3.9% in dry years. However, rainwater use efficiency and irrigation water use efficiency were the greatest for CID2 in different hydrological years. The entropy-weighting TOPSIS model was used to optimize the four water-saving irrigation schemes in terms of water-saving, labor-saving and high-yield, based on the simulation results of the CERES-Rice model in the past 60 a. These results showed that CID1 and AWD were optimal in the wet years, CID1 and CID2 were optimal in the normal and dry years. These results may provide a strong scientific basis for the optimization of water-saving irrigation technology for rice.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80974723","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}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231602.6849
Xiang Wang, Yuru Feng, W. Fu, Jiangtao Qi, Jianli Song
{"title":"Simple decision-making model for orchard air-assisted spraying airflow","authors":"Xiang Wang, Yuru Feng, W. Fu, Jiangtao Qi, Jianli Song","doi":"10.25165/j.ijabe.20231602.6849","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.6849","url":null,"abstract":"","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83563806","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}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231602.7917
Cihan Demir, Osman Gökdoğan
: The purpose of this study was to determine the energy use efficiency and greenhouse gas (GHG) emissions in peach production that took place in Kırklareli province of Turkey during the 2020-2021 production season. This study included calculations of energy input, energy output, energy use efficiency, specific energy, energy productivity, net energy, energy input types, GHG emissions and GHG ratio. Survey, observation and data calculations are related to the 2020-2021 production season. The data obtained from the study were collected from 16 different farms (reachable) through face-to-face surveys with full count method. Energy input and energy output were calculated as 19 570.58 MJ/hm 2 and 19 471.94 MJ/hm 2 , respectively. With regards to production inputs, 55.70% of the energy inputs consisted of chemical fertilizers energy (10 900.03 MJ/hm 2 ), 9.46% consisted of chemicals energy (1852.10 MJ/hm 2 ), 9.32% consisted of human labour energy (1823.13 MJ/hm 2 ), 7.65% consisted of electricity energy (1497.28 MJ/hm 2 ), 6.91% consisted of diesel fuel energy (1351.52 MJ/hm 2 ), 4.73% consisted of irrigation water energy (926.10 MJ/hm 2 ), 3.43% consisted of machinery energy (671.98 MJ/hm 2 ), 1.88% consisted of transportation energy (367.72 MJ/hm 2 ), 0.88% consisted of farmyard manure energy (171.80 MJ/hm 2 ) and 0.05% consisted of lime energy (8.94 MJ/hm 2 ). Energy use efficiency, specific energy, energy productivity and net energy were calculated as 0.99, 1.91 MJ/kg, 0.52 kg/MJ and –98.64 MJ/hm 2 , respectively. The consumed total energy input in production was classified as 28.60% direct energy, 71.40% indirect energy, 14.93% renewable energy and 85.07% non-renewable. Total GHG emissions and GHG ratio were calculated as 1683.24 kgCO 2-eq /hm 2 and 0.16 kg CO 2-eq /kg, respectively.
{"title":"Determination of energy use efficiency and greenhouse gas emissions in peach production","authors":"Cihan Demir, Osman Gökdoğan","doi":"10.25165/j.ijabe.20231602.7917","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7917","url":null,"abstract":": The purpose of this study was to determine the energy use efficiency and greenhouse gas (GHG) emissions in peach production that took place in Kırklareli province of Turkey during the 2020-2021 production season. This study included calculations of energy input, energy output, energy use efficiency, specific energy, energy productivity, net energy, energy input types, GHG emissions and GHG ratio. Survey, observation and data calculations are related to the 2020-2021 production season. The data obtained from the study were collected from 16 different farms (reachable) through face-to-face surveys with full count method. Energy input and energy output were calculated as 19 570.58 MJ/hm 2 and 19 471.94 MJ/hm 2 , respectively. With regards to production inputs, 55.70% of the energy inputs consisted of chemical fertilizers energy (10 900.03 MJ/hm 2 ), 9.46% consisted of chemicals energy (1852.10 MJ/hm 2 ), 9.32% consisted of human labour energy (1823.13 MJ/hm 2 ), 7.65% consisted of electricity energy (1497.28 MJ/hm 2 ), 6.91% consisted of diesel fuel energy (1351.52 MJ/hm 2 ), 4.73% consisted of irrigation water energy (926.10 MJ/hm 2 ), 3.43% consisted of machinery energy (671.98 MJ/hm 2 ), 1.88% consisted of transportation energy (367.72 MJ/hm 2 ), 0.88% consisted of farmyard manure energy (171.80 MJ/hm 2 ) and 0.05% consisted of lime energy (8.94 MJ/hm 2 ). Energy use efficiency, specific energy, energy productivity and net energy were calculated as 0.99, 1.91 MJ/kg, 0.52 kg/MJ and –98.64 MJ/hm 2 , respectively. The consumed total energy input in production was classified as 28.60% direct energy, 71.40% indirect energy, 14.93% renewable energy and 85.07% non-renewable. Total GHG emissions and GHG ratio were calculated as 1683.24 kgCO 2-eq /hm 2 and 0.16 kg CO 2-eq /kg, respectively.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84945867","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}
: In the process of aeroponics cultivation, the atomizer is one of the most important influencing factors on the cultivation process. This study presented the design of an ultrasonic atomization nozzle using contact charging and a root droplet adhesion test rig. The purpose of this study was to reveal the relationship between the main operating parameters of the high-voltage electrostatic ultrasonic atomization nozzle and the atomization effect using droplet adhesion measurements. In this study, the ultrasonic effect of nozzle was achieved by using Laval tube, and the design of the key parameters for the high-voltage electrostatic ultrasonic atomization nozzle were inlet pressure, electrostatic voltage root core electrode material and spray distance; the droplet size variation and root adhesion patterns were obtained through experiments. The best operating parameters were analyzed by using the orthogonal test method, and the droplet deposition distribution of the root system at different scales was investigated in the atomization chamber. The test results revealed that when the root core electrode material was coppe and the nozzle working parameters were at 0.4 MPa of inlet pressure, at 1.75 m the spray distance, at 12 kV of the electrostatic voltage, the root system has the highest droplet adhesion.
{"title":"Design of a high-voltage electrostatic ultrasonic atomization nozzle and its droplet adhesion effects on aeroponically cultivated plant roots","authors":"Jianmin Gao, Yinan Guo, Mazhar Hussain Tunio, Xiangchao Chen, Zhijian Chen","doi":"10.25165/j.ijabe.20231602.7222","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7222","url":null,"abstract":": In the process of aeroponics cultivation, the atomizer is one of the most important influencing factors on the cultivation process. This study presented the design of an ultrasonic atomization nozzle using contact charging and a root droplet adhesion test rig. The purpose of this study was to reveal the relationship between the main operating parameters of the high-voltage electrostatic ultrasonic atomization nozzle and the atomization effect using droplet adhesion measurements. In this study, the ultrasonic effect of nozzle was achieved by using Laval tube, and the design of the key parameters for the high-voltage electrostatic ultrasonic atomization nozzle were inlet pressure, electrostatic voltage root core electrode material and spray distance; the droplet size variation and root adhesion patterns were obtained through experiments. The best operating parameters were analyzed by using the orthogonal test method, and the droplet deposition distribution of the root system at different scales was investigated in the atomization chamber. The test results revealed that when the root core electrode material was coppe and the nozzle working parameters were at 0.4 MPa of inlet pressure, at 1.75 m the spray distance, at 12 kV of the electrostatic voltage, the root system has the highest droplet adhesion.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79001040","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}
Pub Date : 2023-01-01DOI: 10.25165/j.ijabe.20231602.7424
Zechen Dou, Zhihao Fang, Xiaoqiang Han, Muhammad Zeeshan, Yapeng Liu, Y. Lan
: A conventional spraying mode and a fully autonomous fruit tree operation mode using a model DJ T30 unmanned aerial vehicle (UAV) were used to control aphids control on elm trees and to clarify the distribution of droplets in elm trees sprayed by a UAV. The effects of six aviation spray adjuvants on elm canopy droplet deposition and aphid control were evaluated. ImageJ software was used to analyze and measure the droplet density and deposition of water sensitive paper in two modes; this was done to calculate the droplet uniformity, depositional penetration, and droplet penetration, and to verify the aphid control effect. The results showed that the droplet density increased by 79.7%-100.7% in the upper canopy and 0-394.1% in the lower canopy without adjuvants in the fully autonomous fruit tree operation mode. The upper canopy deposits increased by 65.7%-179.3%, and the lower canopy increased by 0-152.8%. When adjuvants were added, the droplet density in the upper canopy increased by 49.7-56.1% using Jiexiaofeng (JXF), and the lower canopy increased by 138.2%-177.8% using JXF, 45.8%-141.3% using Beidatong (BDT), 45.5%-92.9% using Gongbei (GB), 0-93.5% using Maisi (MS), and 0-95.2% using Manniu (MN). The deposits of the upper canopy increased by 888.1-1 154.2% using JXF, 0-1 298.3% using MN, 0-343.9% using BDT, 0-422.5% using GB, 0-580.3% using MS. The lower canopy increased by 746.4%-1 426.0% using JXF, 226.2%- 231.0% using BDT, 435.8%-644.0% using GB, 255.0%-322.4% using MS, and 249.3%-360.0% using MN. When JXF was added, the droplet uniformity, droplet penetration and depositional penetration were better than when using other adjuvants. The effects of JXF, BDT and GB in controlling aphids was significantly better than other adjuvants ( p <0.05). The following control effects were observed; 94.1% with JXF, 93.1% with BDT, and 93.3% with GB after 3 d of application, and 97.9% with JXF, 95.6% with BDT, and 97.1% with GB after 7 d of application. At the same time, the application of the fully autonomous fruit tree operation mode and JXF can effectively improve the density and deposits, which will produce a superposition optimization effect. Our study focuses on the prevention and control of elm aphid infestations based on the operation mode of a UAV and aviation spray adjuvants, which can provide a baseline for the control of diseases and insect pests using UAVs in agriculture and forestry.
{"title":"Effects of spray adjuvants and operation modes on droplet deposition and elm aphid control using an unmanned aerial vehicle","authors":"Zechen Dou, Zhihao Fang, Xiaoqiang Han, Muhammad Zeeshan, Yapeng Liu, Y. Lan","doi":"10.25165/j.ijabe.20231602.7424","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231602.7424","url":null,"abstract":": A conventional spraying mode and a fully autonomous fruit tree operation mode using a model DJ T30 unmanned aerial vehicle (UAV) were used to control aphids control on elm trees and to clarify the distribution of droplets in elm trees sprayed by a UAV. The effects of six aviation spray adjuvants on elm canopy droplet deposition and aphid control were evaluated. ImageJ software was used to analyze and measure the droplet density and deposition of water sensitive paper in two modes; this was done to calculate the droplet uniformity, depositional penetration, and droplet penetration, and to verify the aphid control effect. The results showed that the droplet density increased by 79.7%-100.7% in the upper canopy and 0-394.1% in the lower canopy without adjuvants in the fully autonomous fruit tree operation mode. The upper canopy deposits increased by 65.7%-179.3%, and the lower canopy increased by 0-152.8%. When adjuvants were added, the droplet density in the upper canopy increased by 49.7-56.1% using Jiexiaofeng (JXF), and the lower canopy increased by 138.2%-177.8% using JXF, 45.8%-141.3% using Beidatong (BDT), 45.5%-92.9% using Gongbei (GB), 0-93.5% using Maisi (MS), and 0-95.2% using Manniu (MN). The deposits of the upper canopy increased by 888.1-1 154.2% using JXF, 0-1 298.3% using MN, 0-343.9% using BDT, 0-422.5% using GB, 0-580.3% using MS. The lower canopy increased by 746.4%-1 426.0% using JXF, 226.2%- 231.0% using BDT, 435.8%-644.0% using GB, 255.0%-322.4% using MS, and 249.3%-360.0% using MN. When JXF was added, the droplet uniformity, droplet penetration and depositional penetration were better than when using other adjuvants. The effects of JXF, BDT and GB in controlling aphids was significantly better than other adjuvants ( p <0.05). The following control effects were observed; 94.1% with JXF, 93.1% with BDT, and 93.3% with GB after 3 d of application, and 97.9% with JXF, 95.6% with BDT, and 97.1% with GB after 7 d of application. At the same time, the application of the fully autonomous fruit tree operation mode and JXF can effectively improve the density and deposits, which will produce a superposition optimization effect. Our study focuses on the prevention and control of elm aphid infestations based on the operation mode of a UAV and aviation spray adjuvants, which can provide a baseline for the control of diseases and insect pests using UAVs in agriculture and forestry.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72389083","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":"Analysis of the metering performance for typical shape maize seeds using DEM","authors":"L. Shi, Wuyun Zhao, Wei Sun, Xiaoping Yang, Guanping Wang, Shanglong Xin","doi":"10.25165/j.ijabe.20231601.6813","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231601.6813","url":null,"abstract":"","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75332128","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}
Irrigation has a significant impact on NxO (N2O and NO) emissions from cultivated land, yet the N2O or NO emission among the irrigation lower limits under different irrigation modes has not been well compared. In an irrigated lettuce field, three DR (drip irrigation) lower limits were designed, including 75% (DR1), 65% (DR2) and 55% (DR3) field capacity, and one FI (furrow irrigation) lower limit (65% field capacity). The N2O and NO emission fluxes and soil nitrogen (N) forms were determined, and the linear correlation between these indicators was analyzed. Results showed that under the same irrigation regime, the N2O and NO emissions from furrow irrigation treatment increased by 36.8% and 45.2% respectively compared to that from drip irrigation treatment. The cumulative N2O and NO emissions under DR3 were 30.2% and 28.6% higher than under DR1, respectively. Moreover, DR1 was also the lowest among the four treatments in soil NO3--N concentration. The N2O and NO emission fluxes were more correlated to soil NH4+-N (r=0.88 and 0.76) or NO2--N (r=0.90 and 0.80) concentration than soil NO3--N and soluble organic N, indicating that N2O and NO were mainly produced by the soil nitrification process. When the irrigation regime was the same, N2O and NO emissions were lower with drip irrigation than with furrow irrigation. Besides, drip irrigation with small quota but high frequency reduced N2O and NO emission compared to that with large quota but low frequency. Keywords: nitrous oxide, nitric oxide, drip irrigation, furrow irrigation, soil nitrogen DOI: 10.25165/j.ijabe.20231604.7961 Citation: Hou M M, Xiao Y, Zhu Q Y, Chen J N, Huang H, Jin Q, et al. NxO emissions in response to the irrigation lower limits under different irrigation modes in a lettuce field. Int J Agric & Biol Eng, 2023; 16(4): 159–167.
{"title":"NxO emissions in response to the irrigation lower limits under different irrigation modes in a lettuce field","authors":"Maomao Hou, Ying Xiao, Qinyuan Zhu, Jingnan Chen, Huan Huang, Qiu Jin, Lin Zhu, Fenglin Zhong","doi":"10.25165/j.ijabe.20231604.7961","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.7961","url":null,"abstract":"Irrigation has a significant impact on NxO (N2O and NO) emissions from cultivated land, yet the N2O or NO emission among the irrigation lower limits under different irrigation modes has not been well compared. In an irrigated lettuce field, three DR (drip irrigation) lower limits were designed, including 75% (DR1), 65% (DR2) and 55% (DR3) field capacity, and one FI (furrow irrigation) lower limit (65% field capacity). The N2O and NO emission fluxes and soil nitrogen (N) forms were determined, and the linear correlation between these indicators was analyzed. Results showed that under the same irrigation regime, the N2O and NO emissions from furrow irrigation treatment increased by 36.8% and 45.2% respectively compared to that from drip irrigation treatment. The cumulative N2O and NO emissions under DR3 were 30.2% and 28.6% higher than under DR1, respectively. Moreover, DR1 was also the lowest among the four treatments in soil NO3--N concentration. The N2O and NO emission fluxes were more correlated to soil NH4+-N (r=0.88 and 0.76) or NO2--N (r=0.90 and 0.80) concentration than soil NO3--N and soluble organic N, indicating that N2O and NO were mainly produced by the soil nitrification process. When the irrigation regime was the same, N2O and NO emissions were lower with drip irrigation than with furrow irrigation. Besides, drip irrigation with small quota but high frequency reduced N2O and NO emission compared to that with large quota but low frequency. Keywords: nitrous oxide, nitric oxide, drip irrigation, furrow irrigation, soil nitrogen DOI: 10.25165/j.ijabe.20231604.7961 Citation: Hou M M, Xiao Y, Zhu Q Y, Chen J N, Huang H, Jin Q, et al. NxO emissions in response to the irrigation lower limits under different irrigation modes in a lettuce field. Int J Agric & Biol Eng, 2023; 16(4): 159–167.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135660289","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}
Changes in various states of water in ursolic acid (UA) loaded chitosan nanoparticles were assessed using low-field nuclear magnetic resonance (LF-NMR) during microwave freeze drying (MFD) process, and six thin-layer models were applied to simulate the drying kinetics. UA nanoparticles were dried at different microwave power densities (1 W/g, 2 W/g and 4 W/g). The results showed that three water fractions with different transverse relaxation times (T2) were detected in fresh UA nanoparticles. The T2 relaxation time of water decreased significantly with the increase of drying time at different microwave power densities. And the mutual migration and transformation of water in different states during the drying process of chitosan nanoparticles occurred. Furthermore, mathematical model analysis showed that the Page model provided the best description during the process of UA nanoparticle dried by MFD. The Page model can better simulate the drying kinetics of chitosan nanoparticles dried by MFD, and LF-NMR technology can monitor the changes in water status of UA nanoparticles. The results revealed that LF-NMR can monitor the changes of water in UA nanoparticles during the drying process. Keywords: microwave, drying, chitosan nanoparticles, water distribution DOI: 10.25165/j.ijabe.20231604.7519 Citation: Ren X, Duan X, Cao W W, Zhao L J, Ren G Y, Liu P P. Drying curve simulation and LF-NMR online monitor of water state in ursolic acid loaded chitosan nanoparticles during microwave freeze drying. Int J Agric & Biol Eng, 2023; 16(4): 263－268.
{"title":"Drying curve simulation and LF-NMR online monitor of water state in ursolic acid loaded chitosan nanoparticles during microwave freeze drying","authors":"Xing Ren, Xu Duan, Weiwei Cao, Lujie Zhao, Guangyue Ren, Panpan Liu","doi":"10.25165/j.ijabe.20231604.7519","DOIUrl":"https://doi.org/10.25165/j.ijabe.20231604.7519","url":null,"abstract":"Changes in various states of water in ursolic acid (UA) loaded chitosan nanoparticles were assessed using low-field nuclear magnetic resonance (LF-NMR) during microwave freeze drying (MFD) process, and six thin-layer models were applied to simulate the drying kinetics. UA nanoparticles were dried at different microwave power densities (1 W/g, 2 W/g and 4 W/g). The results showed that three water fractions with different transverse relaxation times (T2) were detected in fresh UA nanoparticles. The T2 relaxation time of water decreased significantly with the increase of drying time at different microwave power densities. And the mutual migration and transformation of water in different states during the drying process of chitosan nanoparticles occurred. Furthermore, mathematical model analysis showed that the Page model provided the best description during the process of UA nanoparticle dried by MFD. The Page model can better simulate the drying kinetics of chitosan nanoparticles dried by MFD, and LF-NMR technology can monitor the changes in water status of UA nanoparticles. The results revealed that LF-NMR can monitor the changes of water in UA nanoparticles during the drying process. Keywords: microwave, drying, chitosan nanoparticles, water distribution DOI: 10.25165/j.ijabe.20231604.7519 Citation: Ren X, Duan X, Cao W W, Zhao L J, Ren G Y, Liu P P. Drying curve simulation and LF-NMR online monitor of water state in ursolic acid loaded chitosan nanoparticles during microwave freeze drying. Int J Agric & Biol Eng, 2023; 16(4): 263－268.","PeriodicalId":13895,"journal":{"name":"International Journal of Agricultural and Biological Engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135660296","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}
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