Pub Date : 2022-01-06DOI: 10.1080/09064710.2021.2018033
Chanon Saengchan, Rungthip Sangpueak, Toan Le Thanh, P. Phansak, N. Buensanteai
ABSTRACT Root rot disease of cassava is one of the major diseases in Thailand, widespread incidence of soil-borne pathogens has been found to affect more than 80%. The research aims to investigate the effect of elicitors as salicylic acid and Bacillus subtilis strain JN2-007 for inducing resistance against root rot disease by Fusarium solani in cassava. The experiment was carried out in a susceptible cassava cultivar to test the efficacy of elicitors in the biochemical response of plant defense mechanisms pertaining to hydrogen peroxide (H2O2) and enzyme activities. The results indicated that pathogenicity test of F. solani isolate SHRD1 caused the brown lesions around the inoculation point on cassava roots. Subsequently, salicylic acid and JN2-007 reduced mycelial growth of F. solani (11.83%–57.73% at day 7), as well as disease severity in the cassava plants at 14 days after the inoculation compared to that of the negative control (28.12%–39.58% compared to 68.75%). Furthermore, salicylic acid at a concentration of 500 µl. L−1 could induce H2O2, level of peroxidase, polyphenol oxidase, and catalase activities that were highest at 24 h after pathogen inoculation. The results suggested that elicitors played an important role as a plant defense inducer, leading to reduced Fusarium root rot disease.
{"title":"Induced resistance against Fusarium solani root rot disease in cassava plant (Manihot esculenta Crantz) promoted by salicylic acid and Bacillus subtilis","authors":"Chanon Saengchan, Rungthip Sangpueak, Toan Le Thanh, P. Phansak, N. Buensanteai","doi":"10.1080/09064710.2021.2018033","DOIUrl":"https://doi.org/10.1080/09064710.2021.2018033","url":null,"abstract":"ABSTRACT Root rot disease of cassava is one of the major diseases in Thailand, widespread incidence of soil-borne pathogens has been found to affect more than 80%. The research aims to investigate the effect of elicitors as salicylic acid and Bacillus subtilis strain JN2-007 for inducing resistance against root rot disease by Fusarium solani in cassava. The experiment was carried out in a susceptible cassava cultivar to test the efficacy of elicitors in the biochemical response of plant defense mechanisms pertaining to hydrogen peroxide (H2O2) and enzyme activities. The results indicated that pathogenicity test of F. solani isolate SHRD1 caused the brown lesions around the inoculation point on cassava roots. Subsequently, salicylic acid and JN2-007 reduced mycelial growth of F. solani (11.83%–57.73% at day 7), as well as disease severity in the cassava plants at 14 days after the inoculation compared to that of the negative control (28.12%–39.58% compared to 68.75%). Furthermore, salicylic acid at a concentration of 500 µl. L−1 could induce H2O2, level of peroxidase, polyphenol oxidase, and catalase activities that were highest at 24 h after pathogen inoculation. The results suggested that elicitors played an important role as a plant defense inducer, leading to reduced Fusarium root rot disease.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"2 1","pages":"516 - 526"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79350478","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 : 2022-01-06DOI: 10.1080/09064710.2021.2018032
B. Ifie, N. Kwapong, Mawulawoe Anato-Dumelo, B. Konadu, P. Tongoona, E. Danquah
ABSTRACT The adoption of maize hybrids is essential to contribute to maize productivity and ensure self-sufficiency and food security. However, the adoption of improved varieties hybrids technology including in Ghana is very low. Farmers’ socio-economic characteristics in relation to the adoption of maize hybrids, farmers constraints and readiness to adopt maize hybrids were assessed using a cross-sectional survey of 173 farmers in four regions in the forest-savannah agro-ecological zones in Ghana. The percentage of farmers that used hybrid seed in 2019 and 2020 were 32.4% and 22.5%, respectively. Of the four hybrids varieties grown, none was locally produced and over 83% of the farmers indicated readiness to adopt maize hybrid seed. The empirical model reveals that farmers readiness to adopt maize hybrids is positively influenced by gender, age, high yield and constraints variables such as high cost of production and pests and diseases.
{"title":"Assessment of farmers readiness to adopt maize hybrid varieties for high productivity in Ghana","authors":"B. Ifie, N. Kwapong, Mawulawoe Anato-Dumelo, B. Konadu, P. Tongoona, E. Danquah","doi":"10.1080/09064710.2021.2018032","DOIUrl":"https://doi.org/10.1080/09064710.2021.2018032","url":null,"abstract":"ABSTRACT The adoption of maize hybrids is essential to contribute to maize productivity and ensure self-sufficiency and food security. However, the adoption of improved varieties hybrids technology including in Ghana is very low. Farmers’ socio-economic characteristics in relation to the adoption of maize hybrids, farmers constraints and readiness to adopt maize hybrids were assessed using a cross-sectional survey of 173 farmers in four regions in the forest-savannah agro-ecological zones in Ghana. The percentage of farmers that used hybrid seed in 2019 and 2020 were 32.4% and 22.5%, respectively. Of the four hybrids varieties grown, none was locally produced and over 83% of the farmers indicated readiness to adopt maize hybrid seed. The empirical model reveals that farmers readiness to adopt maize hybrids is positively influenced by gender, age, high yield and constraints variables such as high cost of production and pests and diseases.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"1 1","pages":"506 - 515"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82984794","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 : 2022-01-06DOI: 10.1080/09064710.2021.2005131
Jianchao Shen, Chen Xu, Yue Ying
ABSTRACT The core of agricultural product supply chain management is to emphasise the use of integrated thoughts and concepts to guide the management practices of enterprises. That is, the operation of the entire supply chain is guided by consumer demand rather than the individual management of links, and the entire supply chain is strictly controlled as a system. Based on big data technology, this paper constructs a high-performance agricultural product recommendation algorithm. Aiming at the lagging construction of my country’s agricultural product supply chain network facilities, low integration of various operating links, high logistics costs, imbalances in supply and demand, and serious agricultural product quality and safety issues, this paper combines the big data technology to study the agricultural product intelligent supply chain system, and uses the network equilibrium method to construct the agricultural product supply chain network model that considers the effort level of multiple producers and retailers. Finally, this paper proves the reliability of the system model in this paper through experimental research.
{"title":"Construction of intelligent supply chain system of agricultural products based on big data","authors":"Jianchao Shen, Chen Xu, Yue Ying","doi":"10.1080/09064710.2021.2005131","DOIUrl":"https://doi.org/10.1080/09064710.2021.2005131","url":null,"abstract":"ABSTRACT The core of agricultural product supply chain management is to emphasise the use of integrated thoughts and concepts to guide the management practices of enterprises. That is, the operation of the entire supply chain is guided by consumer demand rather than the individual management of links, and the entire supply chain is strictly controlled as a system. Based on big data technology, this paper constructs a high-performance agricultural product recommendation algorithm. Aiming at the lagging construction of my country’s agricultural product supply chain network facilities, low integration of various operating links, high logistics costs, imbalances in supply and demand, and serious agricultural product quality and safety issues, this paper combines the big data technology to study the agricultural product intelligent supply chain system, and uses the network equilibrium method to construct the agricultural product supply chain network model that considers the effort level of multiple producers and retailers. Finally, this paper proves the reliability of the system model in this paper through experimental research.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"9 1","pages":"375 - 385"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81828638","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 : 2022-01-06DOI: 10.1080/09064710.2021.2008481
Zheng Chen, Bicheng Diao
ABSTRACT In order to study the planning effects of modern agricultural tourism bases, this paper combines ecological agriculture to carry out regional planning innovations for agricultural tourism bases based on the analysis of traditional rural cultural tourism. Moreover, this paper analyses the current situation of regional planning of agricultural tourism base in China through comparative analysis, summarises its existing problems and divides the functional areas based on the current regional planning needs of agricultural tourism base. In addition, this paper combines the needs of rural cultural dissemination and agricultural ecological economic theory to make recommendations for regional planning of agricultural tourism bases. In terms of theoretical implementation, this paper analyses planning through case analysis and evaluates planning effects. Through the analysis of the agricultural tourism base planning, it is found that the rural culture needs to be combined with the agricultural investment of the agricultural tourism base. Finally, from the research results, it can be seen that the regional planning of modern agricultural tourism base based on rural culture has certain feasibility.
{"title":"Regional planning of modern agricultural tourism base based on rural culture","authors":"Zheng Chen, Bicheng Diao","doi":"10.1080/09064710.2021.2008481","DOIUrl":"https://doi.org/10.1080/09064710.2021.2008481","url":null,"abstract":"ABSTRACT In order to study the planning effects of modern agricultural tourism bases, this paper combines ecological agriculture to carry out regional planning innovations for agricultural tourism bases based on the analysis of traditional rural cultural tourism. Moreover, this paper analyses the current situation of regional planning of agricultural tourism base in China through comparative analysis, summarises its existing problems and divides the functional areas based on the current regional planning needs of agricultural tourism base. In addition, this paper combines the needs of rural cultural dissemination and agricultural ecological economic theory to make recommendations for regional planning of agricultural tourism bases. In terms of theoretical implementation, this paper analyses planning through case analysis and evaluates planning effects. Through the analysis of the agricultural tourism base planning, it is found that the rural culture needs to be combined with the agricultural investment of the agricultural tourism base. Finally, from the research results, it can be seen that the regional planning of modern agricultural tourism base based on rural culture has certain feasibility.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"9 1","pages":"415 - 428"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88834944","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 : 2022-01-06DOI: 10.1080/09064710.2021.2011395
M. Vaidhehi, C. Malathy
ABSTRACT Aim In the agricultural field, weeds are grown irrespective of the required species, which spoils the growth of paddy plants. The presence of weeds is to be detected and should be classified in the earlier stage to improve the growth of species. This research work considers paddy cultivation and detection of weeds in the paddy field. Methods The modelling of the automatic weed predictor model aids farmers in handling the weed coverage and scattering of weed in the agricultural field. Real-time data is collected from the agricultural region, and the images are provided as the input for the predictor model. Regional Convolutional Neural Networks (R-CNN) is proposed to segment the weed from the input images. Results The model is proposed to address the segmentation problem by concurrent simulation of the task for object prediction. Simulation is carried out in a MATLAB environment. The performance of R-CNN is compared and evaluated with existing approaches like the conventional CNN model and other segmentation approaches. Conclusion The proposed model gives better results when compared to other approaches.
{"title":"An unique model for weed and paddy detection using regional convolutional neural networks","authors":"M. Vaidhehi, C. Malathy","doi":"10.1080/09064710.2021.2011395","DOIUrl":"https://doi.org/10.1080/09064710.2021.2011395","url":null,"abstract":"ABSTRACT Aim In the agricultural field, weeds are grown irrespective of the required species, which spoils the growth of paddy plants. The presence of weeds is to be detected and should be classified in the earlier stage to improve the growth of species. This research work considers paddy cultivation and detection of weeds in the paddy field. Methods The modelling of the automatic weed predictor model aids farmers in handling the weed coverage and scattering of weed in the agricultural field. Real-time data is collected from the agricultural region, and the images are provided as the input for the predictor model. Regional Convolutional Neural Networks (R-CNN) is proposed to segment the weed from the input images. Results The model is proposed to address the segmentation problem by concurrent simulation of the task for object prediction. Simulation is carried out in a MATLAB environment. The performance of R-CNN is compared and evaluated with existing approaches like the conventional CNN model and other segmentation approaches. Conclusion The proposed model gives better results when compared to other approaches.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"27 1","pages":"463 - 475"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75565190","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 : 2022-01-06DOI: 10.1080/09064710.2021.2008477
Qiao Jie
ABSTRACT In order to improve the effect of precision intelligent agricultural decision support system, this paper combines big data technology to carry out precision mining of agricultural data, and combines decision tree algorithm to carry out data classification processing. Moreover, this paper obtains the most effective agricultural decision reference data through data mining, combines the agricultural decision support process to set the functional modules of the decision system, and analyzes the implementation process of each functional module. In addition, this paper studies the theoretical basis and key technologies of the agricultural production structure optimisation decision support system, and builds a precision and intelligent agricultural decision support system based on big data analysis. The system mainly performs accurate processing of agricultural data and makes effective predictions, and then makes scientific decision results. Finally, this paper verifies the structure of the model in this paper combined with experimental analysis. From the comparison of experiments, it can be seen that the precision and intelligent agricultural decision support system constructed in this paper has significant effects.
{"title":"Precision and intelligent agricultural decision support system based on big data analysis","authors":"Qiao Jie","doi":"10.1080/09064710.2021.2008477","DOIUrl":"https://doi.org/10.1080/09064710.2021.2008477","url":null,"abstract":"ABSTRACT In order to improve the effect of precision intelligent agricultural decision support system, this paper combines big data technology to carry out precision mining of agricultural data, and combines decision tree algorithm to carry out data classification processing. Moreover, this paper obtains the most effective agricultural decision reference data through data mining, combines the agricultural decision support process to set the functional modules of the decision system, and analyzes the implementation process of each functional module. In addition, this paper studies the theoretical basis and key technologies of the agricultural production structure optimisation decision support system, and builds a precision and intelligent agricultural decision support system based on big data analysis. The system mainly performs accurate processing of agricultural data and makes effective predictions, and then makes scientific decision results. Finally, this paper verifies the structure of the model in this paper combined with experimental analysis. From the comparison of experiments, it can be seen that the precision and intelligent agricultural decision support system constructed in this paper has significant effects.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"96 1","pages":"401 - 414"},"PeriodicalIF":0.0,"publicationDate":"2022-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85651625","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 : 2022-01-05DOI: 10.1080/09064710.2021.2003852
T. A. Masenya, P. Mashela, K. Pofu
ABSTRACT Cancer bush (Sutherlandia frutescens), which is facing extinction, can be conserved through cultivation using best agricultural practices that include nodulation with effective rhizobia bacteria. The objective of the study was to compare the efficacy of commercial and native nodulation bacteria on productivity of S. frutescens over two seasons. Seasonal interaction on productivity variables was not significant (P < 0.05), with pooled data (n = 75) subjected to analysis of variance. Treatments had a significant effects on plant variables, contributing from 58 to 91% in total treatment variation (TTV) of the variables. Relative to untreated control, commercial strains significantly increased plant variables from 31 to 44%, whereas wild strains increased the variables from 17 to 195%. Similarly, both commercial and native strains significantly increased nitrogen, protein and symbiotic efficiency, with magnitudes of native strains being significantly higher than those of commercial strains. Treatments had no significant effects on K and protein in leaf tissues of S. frutescens. In conclusion, the native strains as investigated in the current study have the potential for use in the husbandry of cancer bush.
{"title":"Efficacy of rhizobia strains on growth and chemical composition of cancer bush (Sutherlandia frutescens)","authors":"T. A. Masenya, P. Mashela, K. Pofu","doi":"10.1080/09064710.2021.2003852","DOIUrl":"https://doi.org/10.1080/09064710.2021.2003852","url":null,"abstract":"ABSTRACT Cancer bush (Sutherlandia frutescens), which is facing extinction, can be conserved through cultivation using best agricultural practices that include nodulation with effective rhizobia bacteria. The objective of the study was to compare the efficacy of commercial and native nodulation bacteria on productivity of S. frutescens over two seasons. Seasonal interaction on productivity variables was not significant (P < 0.05), with pooled data (n = 75) subjected to analysis of variance. Treatments had a significant effects on plant variables, contributing from 58 to 91% in total treatment variation (TTV) of the variables. Relative to untreated control, commercial strains significantly increased plant variables from 31 to 44%, whereas wild strains increased the variables from 17 to 195%. Similarly, both commercial and native strains significantly increased nitrogen, protein and symbiotic efficiency, with magnitudes of native strains being significantly higher than those of commercial strains. Treatments had no significant effects on K and protein in leaf tissues of S. frutescens. In conclusion, the native strains as investigated in the current study have the potential for use in the husbandry of cancer bush.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"26 1","pages":"358 - 363"},"PeriodicalIF":0.0,"publicationDate":"2022-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75646488","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 : 2022-01-05DOI: 10.1080/09064710.2021.1993320
Hang Sun, Shengxian Tang
ABSTRACT Traditional rural cultural heritage is not only the crystallisation of China’s long agricultural history but also can guide the development of modern agriculture to some extent. It has its values for scientific research, education, tourism and other aspects. About exploration on the value of agricultural cultural heritage, there are some problems such as landscape homogenisation as well as iconic landscape deficiency. This paper focuses on the concept of rural culture, studies the planning of ecological agricultural circular economy in combination with agricultural ecological scenery, analyses the actual situation of regional rural culture and its actual planning needs, and verifies it through practice. From the researching point of view, the planning method proposed in this paper can be effectively combined with the traditional agricultural culture concept and can promote the development of agriculture and tourism.
{"title":"Planning of agricultural ecological scenery based on the concept of traditional rural culture","authors":"Hang Sun, Shengxian Tang","doi":"10.1080/09064710.2021.1993320","DOIUrl":"https://doi.org/10.1080/09064710.2021.1993320","url":null,"abstract":"ABSTRACT Traditional rural cultural heritage is not only the crystallisation of China’s long agricultural history but also can guide the development of modern agriculture to some extent. It has its values for scientific research, education, tourism and other aspects. About exploration on the value of agricultural cultural heritage, there are some problems such as landscape homogenisation as well as iconic landscape deficiency. This paper focuses on the concept of rural culture, studies the planning of ecological agricultural circular economy in combination with agricultural ecological scenery, analyses the actual situation of regional rural culture and its actual planning needs, and verifies it through practice. From the researching point of view, the planning method proposed in this paper can be effectively combined with the traditional agricultural culture concept and can promote the development of agriculture and tourism.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"11 1","pages":"333 - 343"},"PeriodicalIF":0.0,"publicationDate":"2022-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78597879","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 : 2022-01-05DOI: 10.1080/09064710.2021.1988138
H. Sadji-Ait Kaci, A. Chaker-Haddadj, A. Nedir-Kichou, F. Aid
ABSTRACT Salinity is one of the most severe factors that can affect agricultural productivity worldwide particularly in the arid and semi-arid agro-ecological zones. Chickpea seedlings were grown in the field and subjected to different NaCl concentrations (0, 50 and 150 mM) and P application (90 kg ha–1). The experimental design was based on a completely randomised design with three replications. Salinity has disturbed the physiological and ionic state of cells by increasing stomatal resistance and significantly decreased growth and yield parameters (−66%). Under salinity, plant growth traits presented a negative correlation with yield components. P application had positive effect on growth parameters and physiological responses of the plants. Our results suggest that the tolerance of chickpea at (NaCl × P) combination is closely associated with ionic homeostasis and physiological activities of the plants. Phosphorus application allowed salinity tolerance by increasing leaf hydraulic statute, improvement of KUE and consequently enhanced grain yield of chickpea. (P × salinity) combination induced a positive correlation between vegetative traits and yield parameters like unstressed treatment. These results suggest that the use of suitable amounts of phosphorus fertiliser (i. e. 90 kg ha–1) to saline soil is a beneficial starter for plant development, yield components and rehabilitation of degraded soils.
盐度是影响全球农业生产力的最严重因素之一，特别是在干旱和半干旱农业生态区。在不同NaCl浓度(0、50和150 mM)和施磷量(90 kg ha-1)条件下，在田间种植鹰嘴豆幼苗。实验设计基于完全随机设计，有三个重复。盐度通过增加气孔阻力扰乱了细胞的生理和离子状态，显著降低了生长和产量参数(- 66%)。盐度条件下，植株生长性状与产量组分呈负相关。施磷对植株的生长参数和生理反应有积极影响。结果表明，鹰嘴豆对(NaCl × P)组合的耐受性与植物的离子稳态和生理活性密切相关。施磷提高了鹰嘴豆叶片的耐盐性，提高了KUE，从而提高了籽粒产量。(P ×盐度)组合诱导无胁迫处理等营养性状与产量参数呈正相关。这些结果表明，在盐渍土上施用适量磷肥(即90 kg hm - 1)对植物发育、产量组成和退化土壤的恢复是有益的启动剂。
{"title":"Act of phosphorus on cell hydraulic state, K+ use efficiency and induction of positive correlations between yield and vegetative traits in chickpea","authors":"H. Sadji-Ait Kaci, A. Chaker-Haddadj, A. Nedir-Kichou, F. Aid","doi":"10.1080/09064710.2021.1988138","DOIUrl":"https://doi.org/10.1080/09064710.2021.1988138","url":null,"abstract":"ABSTRACT Salinity is one of the most severe factors that can affect agricultural productivity worldwide particularly in the arid and semi-arid agro-ecological zones. Chickpea seedlings were grown in the field and subjected to different NaCl concentrations (0, 50 and 150 mM) and P application (90 kg ha–1). The experimental design was based on a completely randomised design with three replications. Salinity has disturbed the physiological and ionic state of cells by increasing stomatal resistance and significantly decreased growth and yield parameters (−66%). Under salinity, plant growth traits presented a negative correlation with yield components. P application had positive effect on growth parameters and physiological responses of the plants. Our results suggest that the tolerance of chickpea at (NaCl × P) combination is closely associated with ionic homeostasis and physiological activities of the plants. Phosphorus application allowed salinity tolerance by increasing leaf hydraulic statute, improvement of KUE and consequently enhanced grain yield of chickpea. (P × salinity) combination induced a positive correlation between vegetative traits and yield parameters like unstressed treatment. These results suggest that the use of suitable amounts of phosphorus fertiliser (i. e. 90 kg ha–1) to saline soil is a beneficial starter for plant development, yield components and rehabilitation of degraded soils.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"23 1","pages":"325 - 332"},"PeriodicalIF":0.0,"publicationDate":"2022-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77973148","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 : 2022-01-04DOI: 10.1080/09064710.2021.2009553
Yixing Xu
ABSTRACT The accounting of the performance of the new agricultural business entity and the choice of future strategic planning are all directly affected by the quality of its accounting work. Therefore, it is very important to strengthen the accounting supervision of the new agricultural business entity. This article combines big data technology to construct an accounting work quality improvement model of the new agricultural business entity based on big data, uses a clustering algorithm to process a large number of accounting work data of new agricultural business entities and reengineers the inherent expense reimbursement process. In addition, this article builds an expense control module and an image module in the system and integrates the general ledger module with multiple modules such as fund management and payable salary, so that the financial data information of the new agricultural business entities can be processed, summarised and analysed quickly and efficiently in the financial sharing service system. The experimental research results show that the new agricultural business entity accounting work system based on big data technology constructed in this article can effectively improve the accounting work quality of the new agricultural business entity.
{"title":"Research on the improvement of accounting work quality of new agricultural business entities under the background of big data","authors":"Yixing Xu","doi":"10.1080/09064710.2021.2009553","DOIUrl":"https://doi.org/10.1080/09064710.2021.2009553","url":null,"abstract":"ABSTRACT The accounting of the performance of the new agricultural business entity and the choice of future strategic planning are all directly affected by the quality of its accounting work. Therefore, it is very important to strengthen the accounting supervision of the new agricultural business entity. This article combines big data technology to construct an accounting work quality improvement model of the new agricultural business entity based on big data, uses a clustering algorithm to process a large number of accounting work data of new agricultural business entities and reengineers the inherent expense reimbursement process. In addition, this article builds an expense control module and an image module in the system and integrates the general ledger module with multiple modules such as fund management and payable salary, so that the financial data information of the new agricultural business entities can be processed, summarised and analysed quickly and efficiently in the financial sharing service system. The experimental research results show that the new agricultural business entity accounting work system based on big data technology constructed in this article can effectively improve the accounting work quality of the new agricultural business entity.","PeriodicalId":7094,"journal":{"name":"Acta Agriculturae Scandinavica, Section B — Soil & Plant Science","volume":"9 1","pages":"440 - 453"},"PeriodicalIF":0.0,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87305548","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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