Pub Date : 2021-08-31DOI: 10.1080/09064710.2021.1973083
Gheorghe Stegarescu, E. Reintam, T. Tõnutare
ABSTRACT Good soil aggregate stability and soil enzyme activity are strictly necessary for the proliferation of plants growth and soil resistance against erosion. In this study, the goal was to investigate the effect of different cover crops on the soil aggregate stability and soil phosphatase and their relationship. A laboratory pot experiment was established in which four cover crops were grown (Secale cereale L., Fagopyrum esculentum L., Brassica napus L. and Hordeum vulgare L.) for 33 days in sandy loam soil. Afterwards, the above-ground biomass was cut and incorporated in equal quantities (0.2 g C kg–1 of soil or 176 kg C ha–1) in the same soil and incubated for 30 days. The soil aggregate stability increased significantly with barley before harvesting and rye at day 30 after cover crop residues incorporation. The cover crop plant growth did not influence the soil acid phosphatase activity (APA) before biomass harvesting. Instead, the cover crop residues increased the soil APA only for a short period. The negative correlation between soil aggregate stability and APA can be explained by the variability in soil moisture. While the low cover crop residue quantity might have not been sufficient to increase and maintain the microbial activity.
良好的土壤团聚体稳定性和土壤酶活性是植物生长增殖和土壤抗侵蚀的必要条件。本研究旨在探讨不同覆盖作物对土壤团聚体稳定性和土壤磷酸酶的影响及其关系。采用室内盆栽试验方法，在沙质壤土上种植4种覆盖作物(黑麦、荞麦、甘蓝型油菜和芡实)33 d。然后，将地上生物量按等量(0.2 g C kg - 1土壤或176 kg C ha-1)放入同一土壤中，培养30天。覆盖作物残茬掺入后第30天，收获前大麦和黑麦显著提高了土壤团聚体稳定性。生物量收获前覆盖作物的生长对土壤酸性磷酸酶活性(APA)没有影响。相反，覆盖作物残茬仅在短期内增加了土壤的APA。土壤团聚体稳定性与APA之间的负相关关系可以用土壤水分的变异性来解释。而低覆盖作物残茬量可能不足以增加和维持微生物活性。
{"title":"Cover crop residues effect on soil structural stability and phosphatase activity","authors":"Gheorghe Stegarescu, E. Reintam, T. Tõnutare","doi":"10.1080/09064710.2021.1973083","DOIUrl":"https://doi.org/10.1080/09064710.2021.1973083","url":null,"abstract":"ABSTRACT Good soil aggregate stability and soil enzyme activity are strictly necessary for the proliferation of plants growth and soil resistance against erosion. In this study, the goal was to investigate the effect of different cover crops on the soil aggregate stability and soil phosphatase and their relationship. A laboratory pot experiment was established in which four cover crops were grown (Secale cereale L., Fagopyrum esculentum L., Brassica napus L. and Hordeum vulgare L.) for 33 days in sandy loam soil. Afterwards, the above-ground biomass was cut and incorporated in equal quantities (0.2 g C kg–1 of soil or 176 kg C ha–1) in the same soil and incubated for 30 days. The soil aggregate stability increased significantly with barley before harvesting and rye at day 30 after cover crop residues incorporation. The cover crop plant growth did not influence the soil acid phosphatase activity (APA) before biomass harvesting. Instead, the cover crop residues increased the soil APA only for a short period. The negative correlation between soil aggregate stability and APA can be explained by the variability in soil moisture. While the low cover crop residue quantity might have not been sufficient to increase and maintain the microbial activity.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"4 1","pages":"992 - 1005"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91488349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.1080/09064710.2021.1966497
M. Bai
ABSTRACT The theoretical and practical research of industrial integration provides new directions for the development of many industries and new ideas for the reform of many technologies. In particular, it provides new impetus for the development of agricultural modernisation. This paper takes the rural development of Inner Mongolia as the research object, discusses the integration of the primary, secondary and tertiary industries in agriculture, and then provides guidance for the further development of agriculture. Moreover, this paper combines big data technology to construct an input–output analysis model for the integration of primary, secondary and tertiary industries in rural areas of Inner Mongolia, and on this basis, conducts research and analysis on the model. In addition, this paper uses a simulation model to analyse the industrial integration and uses the statistical yearbook data of Inner Mongolia as the input to calculate the data mining effect and data analysis effect of this model. Through experimental research and analysis, it can be seen that the model constructed in this paper can play a certain effect in the analysis of the integration of primary, secondary and tertiary industries in the rural areas of Inner Mongolia.
{"title":"Input-output analysis of the integration of primary, secondary and tertiary industries in rural areas of Inner Mongolia under the background of big data","authors":"M. Bai","doi":"10.1080/09064710.2021.1966497","DOIUrl":"https://doi.org/10.1080/09064710.2021.1966497","url":null,"abstract":"ABSTRACT The theoretical and practical research of industrial integration provides new directions for the development of many industries and new ideas for the reform of many technologies. In particular, it provides new impetus for the development of agricultural modernisation. This paper takes the rural development of Inner Mongolia as the research object, discusses the integration of the primary, secondary and tertiary industries in agriculture, and then provides guidance for the further development of agriculture. Moreover, this paper combines big data technology to construct an input–output analysis model for the integration of primary, secondary and tertiary industries in rural areas of Inner Mongolia, and on this basis, conducts research and analysis on the model. In addition, this paper uses a simulation model to analyse the industrial integration and uses the statistical yearbook data of Inner Mongolia as the input to calculate the data mining effect and data analysis effect of this model. Through experimental research and analysis, it can be seen that the model constructed in this paper can play a certain effect in the analysis of the integration of primary, secondary and tertiary industries in the rural areas of Inner Mongolia.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"1 1","pages":"1063 - 1074"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87626090","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.1080/09064710.2021.1964591
Hecang Zang, Qiaoli Zhao, Qing-Hua Zhao, Jie Zhang, YanJing Wang, M. Wang, Gu Zheng, Guoqiang Li
ABSTRACT In view of the fact that the current peanut test was still artificial, it was difficult to meet the actual demand of peanut test, this paper established a peanut high-throughput automatic test system (automatic measurement), which improves the work efficiency of peanut test. The system mainly included peanut automatic seed testing device, scanning gun, industrial computer, multi-serial controller and peanut automatic seed testing system, which could obtain the automation of the whole process of peanut pod testing and kernel fruit testing in real time. The results showed that the system can measure the peanut pods and nuts and other parameters in real time, and the average measuring accuracy of the length, width, diameter and quantity of the peanut pod and kernel was more than 98%. Compared with the manual test, the automatic measurement can significantly improved the test efficiency. The system was also suitable for the acquisition of other crop test parameters and provides a reference for high-throughput automatic test.
{"title":"The design and experiment of peanut high-throughput automatic seed testing system based on machine learning","authors":"Hecang Zang, Qiaoli Zhao, Qing-Hua Zhao, Jie Zhang, YanJing Wang, M. Wang, Gu Zheng, Guoqiang Li","doi":"10.1080/09064710.2021.1964591","DOIUrl":"https://doi.org/10.1080/09064710.2021.1964591","url":null,"abstract":"ABSTRACT In view of the fact that the current peanut test was still artificial, it was difficult to meet the actual demand of peanut test, this paper established a peanut high-throughput automatic test system (automatic measurement), which improves the work efficiency of peanut test. The system mainly included peanut automatic seed testing device, scanning gun, industrial computer, multi-serial controller and peanut automatic seed testing system, which could obtain the automation of the whole process of peanut pod testing and kernel fruit testing in real time. The results showed that the system can measure the peanut pods and nuts and other parameters in real time, and the average measuring accuracy of the length, width, diameter and quantity of the peanut pod and kernel was more than 98%. Compared with the manual test, the automatic measurement can significantly improved the test efficiency. The system was also suitable for the acquisition of other crop test parameters and provides a reference for high-throughput automatic test.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"13 1","pages":"931 - 938"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86520404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-31DOI: 10.1080/09064710.2021.1965650
Dongkun Li
ABSTRACT In order to explore the intelligent path of agricultural sustainable development, this paper combines big data technology to process agricultural sustainable development data with the support of machine learning technology. Moreover, in order to solve the evaluation problem of regional agricultural sustainable development as well as understand the evolution path and evolution law of regional agricultural sustainable growth, this paper starts from the framework model and combines big data in addition to artificial intelligence expertise to construct a sustainable agricultural analysis model. In addition, this paper combines the needs of sustainable agricultural development to set the system function and analyse the realisation process of the system function. At last, this paper proposes a digital simulation experiment to authenticate the accomplishment of the model built in this paper. Through experimental research, it can be known that the intelligent agricultural sustainable development system constructed in this paper has certain effects, and this system can be used in subsequent research to analyse agricultural sustainable development. Based on algorithm verification as well as evaluation of the model on agricultural sustainability analysis, the statistical results are varying from 80 to 90.
{"title":"Application of artificial intelligence and machine learning based on big data analysis in sustainable agriculture","authors":"Dongkun Li","doi":"10.1080/09064710.2021.1965650","DOIUrl":"https://doi.org/10.1080/09064710.2021.1965650","url":null,"abstract":"ABSTRACT In order to explore the intelligent path of agricultural sustainable development, this paper combines big data technology to process agricultural sustainable development data with the support of machine learning technology. Moreover, in order to solve the evaluation problem of regional agricultural sustainable development as well as understand the evolution path and evolution law of regional agricultural sustainable growth, this paper starts from the framework model and combines big data in addition to artificial intelligence expertise to construct a sustainable agricultural analysis model. In addition, this paper combines the needs of sustainable agricultural development to set the system function and analyse the realisation process of the system function. At last, this paper proposes a digital simulation experiment to authenticate the accomplishment of the model built in this paper. Through experimental research, it can be known that the intelligent agricultural sustainable development system constructed in this paper has certain effects, and this system can be used in subsequent research to analyse agricultural sustainable development. Based on algorithm verification as well as evaluation of the model on agricultural sustainability analysis, the statistical results are varying from 80 to 90.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"30 2 1","pages":"956 - 969"},"PeriodicalIF":0.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81097464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-18DOI: 10.1080/09064710.2021.1919194
M. Olle, S. Tamm
ABSTRACT Most faba bean research is about protein content while less attention is paid to nutrient content. Thus, the purpose of this study was to assess the effect of sowing rate and variety on the nutrient content of faba beans. Five varieties were tested: Bauska, Gloria, Julia, Jõgeva, and Lielplatones. Two sowing rates were used: 30 seeds m−2 (100%) and 36 seeds m−2 (120%). The higher sowing rate decreased the K content in varieties Gloria, Julia, and Lielplatones in 2016. In 2015 the higher sowing rate increased the Ca content while in 2016 the sowing rate decreased the Ca content. The higher sowing rate increased the Mg content in varieties Gloria and Jõgeva in 2016. The highest N, K, and Mg contents were found in variety Gloria. In 2015 the highest K content was found in varieties Gloria and Jõgeva, while in 2016 the highest K content was in variety Lielplatones. The highest Ca content was in variety Bauska. In conclusion, an increased sowing rate did not have a consistent effect on the nutrient content of faba beans. Thus, variety Gloria can be recommended for faba bean production in Northern Europe because it was the variety with the highest nutrient content.
{"title":"The effect of sowing rate and variety on the nutrient content of faba beans","authors":"M. Olle, S. Tamm","doi":"10.1080/09064710.2021.1919194","DOIUrl":"https://doi.org/10.1080/09064710.2021.1919194","url":null,"abstract":"ABSTRACT Most faba bean research is about protein content while less attention is paid to nutrient content. Thus, the purpose of this study was to assess the effect of sowing rate and variety on the nutrient content of faba beans. Five varieties were tested: Bauska, Gloria, Julia, Jõgeva, and Lielplatones. Two sowing rates were used: 30 seeds m−2 (100%) and 36 seeds m−2 (120%). The higher sowing rate decreased the K content in varieties Gloria, Julia, and Lielplatones in 2016. In 2015 the higher sowing rate increased the Ca content while in 2016 the sowing rate decreased the Ca content. The higher sowing rate increased the Mg content in varieties Gloria and Jõgeva in 2016. The highest N, K, and Mg contents were found in variety Gloria. In 2015 the highest K content was found in varieties Gloria and Jõgeva, while in 2016 the highest K content was in variety Lielplatones. The highest Ca content was in variety Bauska. In conclusion, an increased sowing rate did not have a consistent effect on the nutrient content of faba beans. Thus, variety Gloria can be recommended for faba bean production in Northern Europe because it was the variety with the highest nutrient content.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"41 1","pages":"466 - 471"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78122166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-18DOI: 10.1080/09064710.2021.1910725
Kahaer Abula, Buwajian Abula
ABSTRACT Taking the pertinent data from the 22 countries along the economic corridor of western and central Asia and China from 2012 to 2019 as the samples, the performance of international logistics of countries of western and central Asia was described and the impact of the performance of international logistics of countries along the economic corridor of western and central Asia on export of China's agricultural products was carried out by using a gravity model. The results revealed that the GDP, population, mutual neighbourhood, S member countries and improvement of the performance of international logistics of western and Central Asia have significant promoting effect on the growth of export of China's agricultural products. Different sub-indexes of international logistics performance in western and central Asia exerted different influences on the export trade of China's agricultural products. Therefore, in order to better promote the development of export trade of China's agricultural products, China should make joint efforts with countries of western and central Asia to make use of the opportunities brought by the ‘Belt and Road Initiative' (‘B&R’) to improve the connectivity of logistics infrastructure and deepen the cooperation of China and countries along the economic corridor of western and central Asia in trade of agricultural products.
{"title":"An analysis of gravity model based on the impact of China’s agricultural exports – a case study of western and Central Asia along the economic corridor","authors":"Kahaer Abula, Buwajian Abula","doi":"10.1080/09064710.2021.1910725","DOIUrl":"https://doi.org/10.1080/09064710.2021.1910725","url":null,"abstract":"ABSTRACT Taking the pertinent data from the 22 countries along the economic corridor of western and central Asia and China from 2012 to 2019 as the samples, the performance of international logistics of countries of western and central Asia was described and the impact of the performance of international logistics of countries along the economic corridor of western and central Asia on export of China's agricultural products was carried out by using a gravity model. The results revealed that the GDP, population, mutual neighbourhood, S member countries and improvement of the performance of international logistics of western and Central Asia have significant promoting effect on the growth of export of China's agricultural products. Different sub-indexes of international logistics performance in western and central Asia exerted different influences on the export trade of China's agricultural products. Therefore, in order to better promote the development of export trade of China's agricultural products, China should make joint efforts with countries of western and central Asia to make use of the opportunities brought by the ‘Belt and Road Initiative' (‘B&R’) to improve the connectivity of logistics infrastructure and deepen the cooperation of China and countries along the economic corridor of western and central Asia in trade of agricultural products.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"50 1","pages":"432 - 442"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90676958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-18DOI: 10.1080/09064710.2021.1914714
E. Runno-Paurson, P. Lääniste, V. Eremeev, L. Edesi, L. Metspalu, A. Kännaste, Ü. Niinemets
ABSTRACT The pathogen Erysiphe cruciferarum is an increasingly serious threat to cruciferous oilseed crops worldwide. In the present study, the severity of powdery mildew was evaluated on spring oilseed rape (Brassica napus) and five alternative oilseed crop species (B. juncea, B. nigra, Sinapis alba, Raphanus sativus, Eruca sativa). The main aim of the study was to identify plant species that are less susceptible to powdery mildew for possible application as cover crop, in trap cropping or seed production. Powdery mildew assessments were conducted in two growing seasons that were characterised by unusually warm and dry conditions for northern temperate climatic conditions. In both growing seasons, a heavy powdery mildew infection (over 80%) was recorded on B. napus and B. nigra plants, indicating that E. cruciferarum is an important pathogen for oilseed crops in northern Baltics. However, three other cruciferous species S. alba, E. sativa and R. sativus showed full resistance to powdery mildew, and thus, even under strong powdery mildew pressure, they can be cultivated without pesticide application in northern Baltic conditions. We suggest that in changing climatic conditions powdery mildew is expected to become a more serious problem in cruciferous oilseed crops in northern Europe, especially under intensive short-rotation farming practices.
{"title":"Powdery mildew (Erysiphe cruciferarum) evaluation on oilseed rape and alternative cruciferous oilseed crops in the northern Baltic region in unusually warm growing seasons","authors":"E. Runno-Paurson, P. Lääniste, V. Eremeev, L. Edesi, L. Metspalu, A. Kännaste, Ü. Niinemets","doi":"10.1080/09064710.2021.1914714","DOIUrl":"https://doi.org/10.1080/09064710.2021.1914714","url":null,"abstract":"ABSTRACT The pathogen Erysiphe cruciferarum is an increasingly serious threat to cruciferous oilseed crops worldwide. In the present study, the severity of powdery mildew was evaluated on spring oilseed rape (Brassica napus) and five alternative oilseed crop species (B. juncea, B. nigra, Sinapis alba, Raphanus sativus, Eruca sativa). The main aim of the study was to identify plant species that are less susceptible to powdery mildew for possible application as cover crop, in trap cropping or seed production. Powdery mildew assessments were conducted in two growing seasons that were characterised by unusually warm and dry conditions for northern temperate climatic conditions. In both growing seasons, a heavy powdery mildew infection (over 80%) was recorded on B. napus and B. nigra plants, indicating that E. cruciferarum is an important pathogen for oilseed crops in northern Baltics. However, three other cruciferous species S. alba, E. sativa and R. sativus showed full resistance to powdery mildew, and thus, even under strong powdery mildew pressure, they can be cultivated without pesticide application in northern Baltic conditions. We suggest that in changing climatic conditions powdery mildew is expected to become a more serious problem in cruciferous oilseed crops in northern Europe, especially under intensive short-rotation farming practices.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"6 1","pages":"443 - 452"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74392100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-04DOI: 10.1080/09064710.2021.1961852
Shiming Shen, Jian Li, Rui Xu
ABSTRACT In order to improve the environmental protection effect of agricultural body, this paper analyses the development of rural economy based on the concept of sustainable development. Moreover, in order to prevent the development and utilisation of agricultural resources from continuing to fall into the vicious circle of the past, this paper begins to explore new alternative agricultural models. In addition, this paper expounds the concepts of ecological compensation, agricultural versatility, ecological service function and value involved in this paper. From a long-term perspective, the necessary route for the development of modern agriculture is sustainable and emphasises the development of multiple functions of agriculture. Ultimately, this technique applies sustainable development with agricultural ecological protecting the environment research, uses the region as an example to analyses agricultural economic and environmentally sustainable development, analyses the problems of farm ecological environmental protection using real-life case studies, and recommends corresponding defensive measures to serve as a model for future research.
{"title":"Agricultural ecological environment protection based on the concept of sustainable development","authors":"Shiming Shen, Jian Li, Rui Xu","doi":"10.1080/09064710.2021.1961852","DOIUrl":"https://doi.org/10.1080/09064710.2021.1961852","url":null,"abstract":"ABSTRACT In order to improve the environmental protection effect of agricultural body, this paper analyses the development of rural economy based on the concept of sustainable development. Moreover, in order to prevent the development and utilisation of agricultural resources from continuing to fall into the vicious circle of the past, this paper begins to explore new alternative agricultural models. In addition, this paper expounds the concepts of ecological compensation, agricultural versatility, ecological service function and value involved in this paper. From a long-term perspective, the necessary route for the development of modern agriculture is sustainable and emphasises the development of multiple functions of agriculture. Ultimately, this technique applies sustainable development with agricultural ecological protecting the environment research, uses the region as an example to analyses agricultural economic and environmentally sustainable development, analyses the problems of farm ecological environmental protection using real-life case studies, and recommends corresponding defensive measures to serve as a model for future research.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"18 1","pages":"920 - 930"},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83329906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-04DOI: 10.1080/09064710.2021.1952301
Ling Wang, Jiabin Liu, Ying Nie, Daqing Wang, Hongyan Wang
ABSTRACT Fusarium wilt of tomato is widespread throughout China, and the large spread of Fusarium oxysporum f. sp.lycopersici (FOC) in the soil is the main reason. The application of vermicompost provides abundant antagonists and is an ecologically-friendly method for the biological control of Fusarium wilt of tomatoes. In this paper, Illumina MiSeq high-throughput sequencing were used to explore the relationship between the incidence of Fusarium wilt of tomato and soil microorganisms in more detail and analyse the contributing factors of changes. Compared with the control treatment, vermicompost treatment promoted the growth of Actinobacteria, Chloroflexi, Saccharibacteria and Planctomycetes and inhibited the growth of Proteobacteria, Gemmatimonadetes, Firmicutes, Verrucomicrobia, and Cyanobacteria. The relative abundance of Ascomycota was negatively related to that of Basidiomycota. The results showed that the incidence of Fusarium wilt of vermicompost treatment was 36.5%∼73.9% lower than that of the control treatment. The relative abundance of Proteobacteria was positively related to the incidence of Fusarium wilt, while the ACE and Chao diversity indices of bacterial communities were significantly negatively related to the incidence of Fusarium wilt (p<0.05). Compared with other treatments, the 1:1 group exhibited a maximum diversity index, suggesting superior efficiency in the control of Fusarium wilt of tomato.
番茄枯萎病(Fusarium oxysporum f. sp.lycopersici, FOC)在土壤中的广泛传播是造成番茄枯萎病的主要原因。蚯蚓堆肥的应用为番茄枯萎病的生物防治提供了丰富的拮抗剂，是一种生态友好的方法。本文利用Illumina MiSeq高通量测序技术，更详细地探讨了番茄枯萎病发病与土壤微生物的关系，并分析了其变化的影响因素。与对照处理相比，蚯蚓堆肥处理促进了放线菌门、绿藻门、糖菌门和plantomcetes的生长，抑制了变形菌门、双胞菌门、厚壁菌门、Verrucomicrobia和蓝藻门的生长。子囊菌的相对丰度与担子菌的相对丰度呈负相关。结果表明，蚯蚓堆肥处理的枯萎病发病率比对照处理低36.5% ~ 73.9%。Proteobacteria的相对丰度与枯萎病发病率呈正相关，而细菌群落的ACE和Chao多样性指数与枯萎病发病率呈显著负相关(p<0.05)。与其他处理相比，1∶1处理多样性指数最高，表明其对番茄枯萎病的防治效果更好。
{"title":"Effects of vermicompost on tomato Fusarium wilt and soil microbial community structure","authors":"Ling Wang, Jiabin Liu, Ying Nie, Daqing Wang, Hongyan Wang","doi":"10.1080/09064710.2021.1952301","DOIUrl":"https://doi.org/10.1080/09064710.2021.1952301","url":null,"abstract":"ABSTRACT Fusarium wilt of tomato is widespread throughout China, and the large spread of Fusarium oxysporum f. sp.lycopersici (FOC) in the soil is the main reason. The application of vermicompost provides abundant antagonists and is an ecologically-friendly method for the biological control of Fusarium wilt of tomatoes. In this paper, Illumina MiSeq high-throughput sequencing were used to explore the relationship between the incidence of Fusarium wilt of tomato and soil microorganisms in more detail and analyse the contributing factors of changes. Compared with the control treatment, vermicompost treatment promoted the growth of Actinobacteria, Chloroflexi, Saccharibacteria and Planctomycetes and inhibited the growth of Proteobacteria, Gemmatimonadetes, Firmicutes, Verrucomicrobia, and Cyanobacteria. The relative abundance of Ascomycota was negatively related to that of Basidiomycota. The results showed that the incidence of Fusarium wilt of vermicompost treatment was 36.5%∼73.9% lower than that of the control treatment. The relative abundance of Proteobacteria was positively related to the incidence of Fusarium wilt, while the ACE and Chao diversity indices of bacterial communities were significantly negatively related to the incidence of Fusarium wilt (p<0.05). Compared with other treatments, the 1:1 group exhibited a maximum diversity index, suggesting superior efficiency in the control of Fusarium wilt of tomato.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"63 1","pages":"835 - 851"},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74945380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-31DOI: 10.1080/09064710.2021.1959634
Shuyu Chen
ABSTRACT In order to improve the effect of agricultural disaster management, this paper uses environmental big data technology to analyse historical agricultural disaster data and analyse the role and impact of this technology in agricultural disaster management. How to efficiently use the effective resources in the meteorological big data to optimise the mining effect is an important issue in the assessment of agrometeorological disasters. Parallel information entropy attribute reduction algorithm can effectively reduce the scale of research data and increase the rate of data preprocessing. The classification assessment and early warning of agrometeorological disasters involve data mining classification prediction technology. Unlike most classification prediction algorithms, KNN classification is particularly suitable for application to meteorological data sets with cross-class domains and can accelerate the classification and prediction speed of big data in the parallel processing architecture. Finally, this paper designs experiments to verify the method proposed in this paper. The results of data analysis show that the model constructed in this paper has a certain effect.
{"title":"The role and impact of environmental big data in agricultural disaster management","authors":"Shuyu Chen","doi":"10.1080/09064710.2021.1959634","DOIUrl":"https://doi.org/10.1080/09064710.2021.1959634","url":null,"abstract":"ABSTRACT In order to improve the effect of agricultural disaster management, this paper uses environmental big data technology to analyse historical agricultural disaster data and analyse the role and impact of this technology in agricultural disaster management. How to efficiently use the effective resources in the meteorological big data to optimise the mining effect is an important issue in the assessment of agrometeorological disasters. Parallel information entropy attribute reduction algorithm can effectively reduce the scale of research data and increase the rate of data preprocessing. The classification assessment and early warning of agrometeorological disasters involve data mining classification prediction technology. Unlike most classification prediction algorithms, KNN classification is particularly suitable for application to meteorological data sets with cross-class domains and can accelerate the classification and prediction speed of big data in the parallel processing architecture. Finally, this paper designs experiments to verify the method proposed in this paper. The results of data analysis show that the model constructed in this paper has a certain effect.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"42 1","pages":"907 - 919"},"PeriodicalIF":0.0,"publicationDate":"2021-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79200925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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