Pub Date : 2021-11-16DOI: 10.1080/09064710.2021.2001042
M. Abera
ABSTRACT A study was conducted to evaluate the adaptability, yield performance and nutritional value, and to identify farmers preferred lupine genotypes. Four lupine genotypes were evaluated using participatory approach at Arbegona and Bule districts of Ethiopia on the farmer’s plots. The experimental layout followed a randomised complete block design with four replications. Farmers as well as researchers gave the first rank for accession No. 239042 and accession No. 239047 and least for Sanabor (Accession No. 144) in overall performance. Moreover, according to the results of the current study, accession No. 239004 and 239042 were the best lupine genotypes, which gave the greater grain yield, forage dry matter production and nutritive value than the other accession tested. Based on the laboratory evaluation, sweet lupine forage and seed can be used as homegrown protein source in livestock feeding. Farmers preferred all the tested lupine genotypes for their after assessing its grain yield. Even though Sanabor (Accession No. 144) was inferior in its grain yield, the farmers preferred the Sanabor mainly due to their early maturity, short growth habit, lodging tolerance, despite its high vegetative growth. Thus, the consideration of farmers’ preference for forage crops is crucial for increased adoption of improved forage crops.
{"title":"Participatory evaluation of lupine genotypes on biomass and grain yield performance and nutritional value in the highland of Ethiopia","authors":"M. Abera","doi":"10.1080/09064710.2021.2001042","DOIUrl":"https://doi.org/10.1080/09064710.2021.2001042","url":null,"abstract":"ABSTRACT A study was conducted to evaluate the adaptability, yield performance and nutritional value, and to identify farmers preferred lupine genotypes. Four lupine genotypes were evaluated using participatory approach at Arbegona and Bule districts of Ethiopia on the farmer’s plots. The experimental layout followed a randomised complete block design with four replications. Farmers as well as researchers gave the first rank for accession No. 239042 and accession No. 239047 and least for Sanabor (Accession No. 144) in overall performance. Moreover, according to the results of the current study, accession No. 239004 and 239042 were the best lupine genotypes, which gave the greater grain yield, forage dry matter production and nutritive value than the other accession tested. Based on the laboratory evaluation, sweet lupine forage and seed can be used as homegrown protein source in livestock feeding. Farmers preferred all the tested lupine genotypes for their after assessing its grain yield. Even though Sanabor (Accession No. 144) was inferior in its grain yield, the farmers preferred the Sanabor mainly due to their early maturity, short growth habit, lodging tolerance, despite its high vegetative growth. Thus, the consideration of farmers’ preference for forage crops is crucial for increased adoption of improved forage crops.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"76 1","pages":"157 - 163"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72642174","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 : 2021-11-16DOI: 10.1080/09064710.2021.1998593
Marilyn Kutamahufa, Lincon Matare, G. Soropa, N. Mashavakure, E. Svotwa, A. Mashingaidze
ABSTRACT Integrating forage legumes with maize has the potential to restore soil fertility and increase grain yield among smallholder farming systems. A study was conducted over two cropping seasons to determine the effect of intercropping maize with forage legumes on soil fertility restoration, weed biomass and maize yield. Treatments involved: four cropping systems (sole maize, maize-velvet bean, maize-silverleaf, maize-cowpeas) and four fertiliser regimes (no fertiliser, 150 kg ha−1 of compound D fertiliser (7% N: 14% P2O5: 7% K2O) + 150 kg ha−1 ammonium nitrate (34.5% N), 100 kg ha−1 single super phosphate (SSP, 17.5% P2O5) and 200 kg ha−1 SSP). Maize-velvet bean intercropping reduced weed biomass by 80% relative to sole maize and maize-silverleaf intercropping. Maize-cowpea and maize-velvet bean intercropping reduced maize grain yield by 25.9% and 64.7%, respectively, compared to sole maize and maize-silverleaf intercropping. In 2017/2018, maize-silverleaf intercropping increased resin-extractable P2O5 by 60.1% compared to other cropping systems while the three fertiliser treatments increased the levels of this nutrient by 41.9–100%. The results of this study show that intercropping maize with silverleaf has the potential to restore soil fertility and control weeds, without reducing maize grain yield.
{"title":"Forage legumes exhibit a differential potential to compete against maize and weeds and to restore soil fertility in a maize-forage legume intercrop","authors":"Marilyn Kutamahufa, Lincon Matare, G. Soropa, N. Mashavakure, E. Svotwa, A. Mashingaidze","doi":"10.1080/09064710.2021.1998593","DOIUrl":"https://doi.org/10.1080/09064710.2021.1998593","url":null,"abstract":"ABSTRACT Integrating forage legumes with maize has the potential to restore soil fertility and increase grain yield among smallholder farming systems. A study was conducted over two cropping seasons to determine the effect of intercropping maize with forage legumes on soil fertility restoration, weed biomass and maize yield. Treatments involved: four cropping systems (sole maize, maize-velvet bean, maize-silverleaf, maize-cowpeas) and four fertiliser regimes (no fertiliser, 150 kg ha−1 of compound D fertiliser (7% N: 14% P2O5: 7% K2O) + 150 kg ha−1 ammonium nitrate (34.5% N), 100 kg ha−1 single super phosphate (SSP, 17.5% P2O5) and 200 kg ha−1 SSP). Maize-velvet bean intercropping reduced weed biomass by 80% relative to sole maize and maize-silverleaf intercropping. Maize-cowpea and maize-velvet bean intercropping reduced maize grain yield by 25.9% and 64.7%, respectively, compared to sole maize and maize-silverleaf intercropping. In 2017/2018, maize-silverleaf intercropping increased resin-extractable P2O5 by 60.1% compared to other cropping systems while the three fertiliser treatments increased the levels of this nutrient by 41.9–100%. The results of this study show that intercropping maize with silverleaf has the potential to restore soil fertility and control weeds, without reducing maize grain yield.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"4 1","pages":"127 - 141"},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90544760","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 : 2021-11-07DOI: 10.1080/09064710.2021.1993323
K. Pofu, P. Mashela
ABSTRACT Globally, the guava root-knot nematode (Meloidogyne enterolobii) is becoming an emerging threat of note in crops with or without Mi resistance genes. Watermelon (Citrullus lanatus) cultivars are highly susceptible to Meloidogyne species, with all cultivars without genotypes with resistance to the genus. In contrast, nematode management options for watermelon production had since the withdrawal of fumigant nematicides been constrained. The objective of this study was to investigate the comparative efficacy of the locally-developed cucurbitacin phytonematicides and commercially available synthetic chemical nematicide Velum on growth and fruit yield and quality of watermelon cv. ‘Congo’, along with its accumulation of foliar nutrient elements and suppression of M. enterolobii population densities under field conditions. Nemarioc-AL and Nemafric-BL phytonematicides were each applied biweekly at 2% per seedling using 500 ml solution, while Velum was applied once using 500 ml solution at 0.08 ml/15 L chlorine-free water. At 90 days after the treatments, relative to untreated control, the two phytonematicides and Velum (a.i. fluopyram) significantly increased plant growth, fruit yield and quality, although with the accumulation of phosphorus in leaf tissues, with efficacies of the three products being comparable. Similarly, relative to untreated control, the three products significantly reduced nematode eggs and juveniles in roots and juveniles in soil, with efficacies that were significantly comparable. In conclusion, the benefits of phytonematicides on the productivity of watermelon cv. ‘Congo’ and suppression of population densities of M. enterolobii were comparable.
{"title":"Comparative efficacy of cucurbitacin phytonematicides and Velum on growth and fruit quality of watermelon cultivar ‘Congo’ and suppression of Meloidogyne enterolobii under field conditions","authors":"K. Pofu, P. Mashela","doi":"10.1080/09064710.2021.1993323","DOIUrl":"https://doi.org/10.1080/09064710.2021.1993323","url":null,"abstract":"ABSTRACT\u0000 Globally, the guava root-knot nematode (Meloidogyne enterolobii) is becoming an emerging threat of note in crops with or without Mi resistance genes. Watermelon (Citrullus lanatus) cultivars are highly susceptible to Meloidogyne species, with all cultivars without genotypes with resistance to the genus. In contrast, nematode management options for watermelon production had since the withdrawal of fumigant nematicides been constrained. The objective of this study was to investigate the comparative efficacy of the locally-developed cucurbitacin phytonematicides and commercially available synthetic chemical nematicide Velum on growth and fruit yield and quality of watermelon cv. ‘Congo’, along with its accumulation of foliar nutrient elements and suppression of M. enterolobii population densities under field conditions. Nemarioc-AL and Nemafric-BL phytonematicides were each applied biweekly at 2% per seedling using 500 ml solution, while Velum was applied once using 500 ml solution at 0.08 ml/15 L chlorine-free water. At 90 days after the treatments, relative to untreated control, the two phytonematicides and Velum (a.i. fluopyram) significantly increased plant growth, fruit yield and quality, although with the accumulation of phosphorus in leaf tissues, with efficacies of the three products being comparable. Similarly, relative to untreated control, the three products significantly reduced nematode eggs and juveniles in roots and juveniles in soil, with efficacies that were significantly comparable. In conclusion, the benefits of phytonematicides on the productivity of watermelon cv. ‘Congo’ and suppression of population densities of M. enterolobii were comparable.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"25 1","pages":"105 - 110"},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86942836","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 : 2021-11-07DOI: 10.1080/09064710.2021.1993993
R. N. ter Borg, J. Barron
ABSTRACT In Sweden, drainage and the construction of water infrastructure have influenced agriculture in the last few centuries both positively and negatively. Recently, a trend has set in where wetlands are constructed to retain water, retain and reduce nutrients and to enhance the biodiversity. This study aimed to use remote sensing techniques to study landscape water retention over time. In this pilot study, water retention structures in Gotland (57°28′35.0′′N18°29′ 13.9′′E) and Kalmar Län (56°39′41′′N16°21′46′′E) for 2000/2001 and 2020 were identified and analyzed using Landsat data. In this study, it was found that the number of water retention structures (>0.8 ha) increased from 44 to 101 for Gotland Län and from 44 to 127 for Kalmar Län. Most water retention structures were <4 ha and were located in mid- and downstream areas. A comparison of the remote sensed results with the Swedish Meteorological and Hydrological Institute (SMHI) database showed a disagreement of the spatial coordinates of the wetlands in the database with the water retention structures. This pilot study has shown that remote sensed data can be used to identify water retention structures, although higher resolution imagery would be highly advisable in these kinds of studies.
{"title":"Development of constructed wetlands in agricultural landscapes using remote sensing techniques","authors":"R. N. ter Borg, J. Barron","doi":"10.1080/09064710.2021.1993993","DOIUrl":"https://doi.org/10.1080/09064710.2021.1993993","url":null,"abstract":"ABSTRACT\u0000 In Sweden, drainage and the construction of water infrastructure have influenced agriculture in the last few centuries both positively and negatively. Recently, a trend has set in where wetlands are constructed to retain water, retain and reduce nutrients and to enhance the biodiversity. This study aimed to use remote sensing techniques to study landscape water retention over time. In this pilot study, water retention structures in Gotland (57°28′35.0′′N18°29′ 13.9′′E) and Kalmar Län (56°39′41′′N16°21′46′′E) for 2000/2001 and 2020 were identified and analyzed using Landsat data. In this study, it was found that the number of water retention structures (>0.8 ha) increased from 44 to 101 for Gotland Län and from 44 to 127 for Kalmar Län. Most water retention structures were <4 ha and were located in mid- and downstream areas. A comparison of the remote sensed results with the Swedish Meteorological and Hydrological Institute (SMHI) database showed a disagreement of the spatial coordinates of the wetlands in the database with the water retention structures. This pilot study has shown that remote sensed data can be used to identify water retention structures, although higher resolution imagery would be highly advisable in these kinds of studies.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"1 1","pages":"111 - 126"},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82966051","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 : 2021-11-07DOI: 10.1080/09064710.2021.1990386
Wen-long Yi
ABSTRACT The planning and management of water resources are becoming more and more important, and the forecast of water demand as the prerequisite and foundation of the entire planning has become a very important task in agricultural development. This paper combines the particle swarm algorithm to construct the agricultural water resource demand forecasting model, analyzes the shortcomings of the traditional particle swarm algorithm, and makes appropriate improvements to the quantum particle swarm algorithm. Moreover, this paper constructs the functional structure of the agricultural water resource demand forecast model based on the forecast demand of water resources, and analyzes the application process of the particle swarm algorithm in the system of this paper. After the model is constructed, the performance of the model is verified, and the simulation test is designed to evaluate the effect of system forecast with actual data. At the same time, this paper uses the model constructed in this paper to analyze the factors affecting water resources forecast demand. From the results of the experimental analysis, it can be seen that the model constructed in this paper is more effective in the forecast of water resources demand.
{"title":"Forecast of agricultural water resources demand based on particle swarm algorithm","authors":"Wen-long Yi","doi":"10.1080/09064710.2021.1990386","DOIUrl":"https://doi.org/10.1080/09064710.2021.1990386","url":null,"abstract":"ABSTRACT The planning and management of water resources are becoming more and more important, and the forecast of water demand as the prerequisite and foundation of the entire planning has become a very important task in agricultural development. This paper combines the particle swarm algorithm to construct the agricultural water resource demand forecasting model, analyzes the shortcomings of the traditional particle swarm algorithm, and makes appropriate improvements to the quantum particle swarm algorithm. Moreover, this paper constructs the functional structure of the agricultural water resource demand forecast model based on the forecast demand of water resources, and analyzes the application process of the particle swarm algorithm in the system of this paper. After the model is constructed, the performance of the model is verified, and the simulation test is designed to evaluate the effect of system forecast with actual data. At the same time, this paper uses the model constructed in this paper to analyze the factors affecting water resources forecast demand. From the results of the experimental analysis, it can be seen that the model constructed in this paper is more effective in the forecast of water resources demand.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"26 1","pages":"30 - 42"},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91144248","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 : 2021-11-07DOI: 10.1080/09064710.2021.1990389
Wu Qiang
ABSTRACT In order to improve the effect of agricultural data collection and transmission, based on the technology adopted by the mainstream agricultural environmental information monitoring system on the market, this paper uses game theory to innovatively improve the algorithm mechanism of wireless sensor nodes, optimise the clustering structure and routing method of wireless sensor networks, design a remote monitoring platform for field farm information and finally build a complete agricultural information monitoring system. Moreover, taking the temperature and humidity sensor as an example, this paper improves the parameters on the basis of testing the various performance of the sensor, and develops the software of the main chip on the basis of the improved node, and completes the driver design of the sensor. In addition, this paper constructs a wireless sensor network data transmission model based on game theory, and combines simulation experiments to conduct experimental research on the system model constructed in this paper. From the test results, it can be seen that the model constructed in this paper has a better effect.
{"title":"Research on data transmission model of agricultural wireless sensor network based on game theory","authors":"Wu Qiang","doi":"10.1080/09064710.2021.1990389","DOIUrl":"https://doi.org/10.1080/09064710.2021.1990389","url":null,"abstract":"ABSTRACT In order to improve the effect of agricultural data collection and transmission, based on the technology adopted by the mainstream agricultural environmental information monitoring system on the market, this paper uses game theory to innovatively improve the algorithm mechanism of wireless sensor nodes, optimise the clustering structure and routing method of wireless sensor networks, design a remote monitoring platform for field farm information and finally build a complete agricultural information monitoring system. Moreover, taking the temperature and humidity sensor as an example, this paper improves the parameters on the basis of testing the various performance of the sensor, and develops the software of the main chip on the basis of the improved node, and completes the driver design of the sensor. In addition, this paper constructs a wireless sensor network data transmission model based on game theory, and combines simulation experiments to conduct experimental research on the system model constructed in this paper. From the test results, it can be seen that the model constructed in this paper has a better effect.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"72 1","pages":"67 - 80"},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85291857","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 : 2021-11-07DOI: 10.1080/09064710.2021.1993321
Ya Tao
ABSTRACT In order to explore the impact of trade uncertainty on the national grain supply, based on the BP neural network algorithm, this paper combines the characteristics of grain supply and trade data to construct an intelligent analysis model. Moreover, this paper uses historical data as the basic data to study the trade uncertainty and the relevant characteristics of grain supply, and combine the actual demand to construct the structure of the BP neural network model. After constructing the model, this paper analyzes the function of the model, combines the comparative analysis method to classify the data and studies the influence mechanism of trade uncertainty on the national grain supply. In addition, this paper combines the actual data to analyze the performance of the algorithm model of this paper, and the analysis results are consistent with historical data. Finally, this paper analyzes the cost control of national grain supply based on the results of the model analysis, and proposes several countermeasures.
{"title":"Research on the impact of trade uncertainty on national grain supply and risk cost control","authors":"Ya Tao","doi":"10.1080/09064710.2021.1993321","DOIUrl":"https://doi.org/10.1080/09064710.2021.1993321","url":null,"abstract":"ABSTRACT In order to explore the impact of trade uncertainty on the national grain supply, based on the BP neural network algorithm, this paper combines the characteristics of grain supply and trade data to construct an intelligent analysis model. Moreover, this paper uses historical data as the basic data to study the trade uncertainty and the relevant characteristics of grain supply, and combine the actual demand to construct the structure of the BP neural network model. After constructing the model, this paper analyzes the function of the model, combines the comparative analysis method to classify the data and studies the influence mechanism of trade uncertainty on the national grain supply. In addition, this paper combines the actual data to analyze the performance of the algorithm model of this paper, and the analysis results are consistent with historical data. Finally, this paper analyzes the cost control of national grain supply based on the results of the model analysis, and proposes several countermeasures.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"24 1","pages":"92 - 104"},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78079046","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 : 2021-11-07DOI: 10.1080/09064710.2021.1990387
Xing-jing Du
ABSTRACT To improve the roof waterproof construction effect of agricultural construction projects, this paper applies big data technology to construction management and construction decision-making of construction projects. Moreover, this paper improves the traditional big data technology, and from the perspective of the roof waterproof construction requirements of agricultural construction projects, this paper improves data mining to make it a core intelligent algorithm that can be used for data recognition and analysis of construction projects. In addition, this paper simulates the construction process according to the roof waterproof construction process of agricultural construction projects, builds the corresponding intelligent construction simulation model and builds the agricultural construction engineering roof waterproof construction simulation through simulation research. Finally, after obtaining the data, this paper conducts experimental research and applies the data mining system of this paper to the analysis of agricultural construction engineering. From the experimental research, it can be known that the method proposed in this paper has a certain effect.
{"title":"Research on roof waterproof construction of agricultural construction engineering based on big data technology","authors":"Xing-jing Du","doi":"10.1080/09064710.2021.1990387","DOIUrl":"https://doi.org/10.1080/09064710.2021.1990387","url":null,"abstract":"ABSTRACT To improve the roof waterproof construction effect of agricultural construction projects, this paper applies big data technology to construction management and construction decision-making of construction projects. Moreover, this paper improves the traditional big data technology, and from the perspective of the roof waterproof construction requirements of agricultural construction projects, this paper improves data mining to make it a core intelligent algorithm that can be used for data recognition and analysis of construction projects. In addition, this paper simulates the construction process according to the roof waterproof construction process of agricultural construction projects, builds the corresponding intelligent construction simulation model and builds the agricultural construction engineering roof waterproof construction simulation through simulation research. Finally, after obtaining the data, this paper conducts experimental research and applies the data mining system of this paper to the analysis of agricultural construction engineering. From the experimental research, it can be known that the method proposed in this paper has a certain effect.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"107 1","pages":"43 - 53"},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80554229","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 : 2021-11-07DOI: 10.1080/09064710.2021.1990388
Aifeng Wang, Dong Yan, Yiming He, Sufang Liu, Xiutao Yang, Bei Wang
ABSTRACT This paper combines the intelligent computer-assisted technology to carry out the architectural design and planning of the agricultural sightseeing area, and mainly plans the electricity consumption system of the agricultural sightseeing area to ensure that the agricultural sightseeing area can provide tourists with a good sightseeing experience at night. Moreover, this paper conducts an end-point analysis of the circuit system and analyzes multiple parameters, and combines the construction power demand of agricultural tourism areas to conduct power model analysis. The computer control system integrates various factor control methods, uses advanced control technology and control strategies, and fully considers the relationship between the control variables to realise the automation, intelligence and energy-saving regulation of the greenhouse environment of the agricultural sightseeing area. Finally, this paper takes the greenhouse system as an example to analyze the architectural planning. From the research point of view, it can be known that the architectural design method of agricultural sightseeing tourism area constructed in this paper has certain effects.
{"title":"Research on the architectural design of the agricultural sightseeing tourist area","authors":"Aifeng Wang, Dong Yan, Yiming He, Sufang Liu, Xiutao Yang, Bei Wang","doi":"10.1080/09064710.2021.1990388","DOIUrl":"https://doi.org/10.1080/09064710.2021.1990388","url":null,"abstract":"ABSTRACT This paper combines the intelligent computer-assisted technology to carry out the architectural design and planning of the agricultural sightseeing area, and mainly plans the electricity consumption system of the agricultural sightseeing area to ensure that the agricultural sightseeing area can provide tourists with a good sightseeing experience at night. Moreover, this paper conducts an end-point analysis of the circuit system and analyzes multiple parameters, and combines the construction power demand of agricultural tourism areas to conduct power model analysis. The computer control system integrates various factor control methods, uses advanced control technology and control strategies, and fully considers the relationship between the control variables to realise the automation, intelligence and energy-saving regulation of the greenhouse environment of the agricultural sightseeing area. Finally, this paper takes the greenhouse system as an example to analyze the architectural planning. From the research point of view, it can be known that the architectural design method of agricultural sightseeing tourism area constructed in this paper has certain effects.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"260 1","pages":"54 - 66"},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76768053","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 : 2021-11-07DOI: 10.1080/09064710.2021.1990390
Barbara Zanelli, M. Ocvirk, Iztok Jože Košir, M. Vidrih, T. Bohinc, S. Trdan
ABSTRACT In 2019, we conducted a field experiment to test the effects of three different granular fertilizers on the salicylic acid and total phenolic contents in five different sport turfgrass mixtures under natural conditions. It was one of the first experiments assessing the natural resistance of sport turfgrass in Europe. In five terms, before and after fertilizers applications, we randomly collected turfgrass samples within each plot for chemical analyses. The turfgrass mixtures did not affect the average contents of salicylic acid and total polyphenols. The average contents of both compounds were influenced by the date of evaluation and fertilization scheme. The average content of salicylic acid was significantly the lowest under fertilization scheme C. The highest level of salicylic acid was detected on 18th June under scheme A and the lowest on 28th May, where the salicylic acid content ranged from 0.01 ± 0.00 mg.g−1 under scheme A to 0.017 ± 0.00 mg.g−1 under scheme B and 0.006±0.00 mg.g−1 under scheme C. The content of total polyphenols was higher under fertilization schemes B and C. We conclude that the method of fertilization exerts a certain effect on the salicylic acid and total polyphenol contents in turfgrass mixtures, which also depends on environmental factors.
{"title":"Environmental parameters and fertilisers as factors affecting the salicylic acid and total polyphenol contents in sport turfgrasses","authors":"Barbara Zanelli, M. Ocvirk, Iztok Jože Košir, M. Vidrih, T. Bohinc, S. Trdan","doi":"10.1080/09064710.2021.1990390","DOIUrl":"https://doi.org/10.1080/09064710.2021.1990390","url":null,"abstract":"ABSTRACT In 2019, we conducted a field experiment to test the effects of three different granular fertilizers on the salicylic acid and total phenolic contents in five different sport turfgrass mixtures under natural conditions. It was one of the first experiments assessing the natural resistance of sport turfgrass in Europe. In five terms, before and after fertilizers applications, we randomly collected turfgrass samples within each plot for chemical analyses. The turfgrass mixtures did not affect the average contents of salicylic acid and total polyphenols. The average contents of both compounds were influenced by the date of evaluation and fertilization scheme. The average content of salicylic acid was significantly the lowest under fertilization scheme C. The highest level of salicylic acid was detected on 18th June under scheme A and the lowest on 28th May, where the salicylic acid content ranged from 0.01 ± 0.00 mg.g−1 under scheme A to 0.017 ± 0.00 mg.g−1 under scheme B and 0.006±0.00 mg.g−1 under scheme C. The content of total polyphenols was higher under fertilization schemes B and C. We conclude that the method of fertilization exerts a certain effect on the salicylic acid and total polyphenol contents in turfgrass mixtures, which also depends on environmental factors.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"36 1","pages":"81 - 91"},"PeriodicalIF":0.0,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79372862","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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