Acta Agriculturae Scandinavica, Section B — Soil & Plant Science

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ISSN / EISSN : 0906-4710 / 1651-1913
Published by: Informa UK Limited (10.1080)
Total articles ≅ 1,833
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Chun Luo,
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-11; https://doi.org/10.1080/09064710.2021.2007993

Abstract:
In order to promote the integration of leisure agriculture and red cultural tourism, this paper improves the big data technology and combines the actual needs of tourism data fusion to construct an integrated analysis system of leisure agriculture and red cultural tourism-based big data. Through the data collection layer and the data information provided by the third party, this paper uses various technologies such as cloud computing and fuzzy recognition to classify and store massive amounts of data and information and establish a data warehouse to integrate various information resources to serve various smart applications. In addition, this paper combines the characteristics of leisure agriculture and red cultural tourism to integrate the two and builds an intelligent system with the support of big data technology. Finally, this paper carries out the performance verification of this system through experimental research. From the research results, it can be seen that the system constructed in this paper meets the needs of the integration of leisure agriculture and red cultural tourism.
, Hongchang Li
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-12; https://doi.org/10.1080/09064710.2021.2008478

Abstract:
In order to improve the effect of intelligent fertilisation, according to actual fertilisation needs, this paper combines big data technology to perform data analysis, and designs a variable fertilisation mechanical structure that can be used for mixed fertilisation to realise mixed fertilisation of multiple crops. Moreover, from the perspective of precise fertilisation, this paper combines the actual needs of variable fertilisation to construct a control system, and adopts an adaptive federated filter structure to solve the influence of equipment errors on system position estimation. In addition, this paper solves the problems of excessive partial application and low fertiliser utilisation in traditional fertilisation, as well as the resulting waste, environmental pollution, and poor quality of agricultural products. Furthermore, this paper designs and manufactures a dual-variable application test device, and conducted a fertiliser discharge test on the test device. Finally, this paper uses big data technology to analyze the experimental data of variable fertilisation operation machinery. From the experimental research, it can be seen that the effect of the fertilisation operation machinery designed in this paper meets actual needs.
Yiru Wang, Jie Lyu,
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-13; https://doi.org/10.1080/09064710.2021.2000632

Abstract:
China has developed into the world’s largest producer of peanuts; however, it remains unable to achieve self-sufficiency. We assessed China’s peanut production performance and determined the crucial influential factors to improve the efficiency and productivity of peanut production. In this article, the performance of ten main peanut producing areas was evaluated from 2009 to 2018 through the adoption of a three-stage data envelopment analysis (DEA) approach and the Malmquist index. The results revealed inefficient peanut production in China. First and foremost, the overall efficiency was not located at the production frontier due to the decreasing scale efficiency. In addition, insufficient technological progress led to the relatively low total factor productivity. Last but not least, the managerial inefficiency was the main external environmental factor influencing the peanut production performance in China. Accordingly, we put forward corresponding suggestions, such as enhancing the environmental factors, realising the technological process, and achieving the optimal scale.
, Tang Yan, Liu Fen, Fu Xiuyong, Liu Fugang
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-11; https://doi.org/10.1080/09064710.2021.2008479

Abstract:
Organic pollution of agricultural land will cause environmental problems and agricultural economic effects. To explore the reliable effect of remediation of organic pollution in agricultural land, wheat straw biochar was prepared in this paper. Moreover, this paper uses experimental research and comparison methods to study the difference in the adsorption performance of biochar at different pyrolysis temperatures on polycyclic aromatic hydrocarbons (PAHs) and the effect of pyrolysis biochar on the availability of phenanthrene and pyrene microorganisms in the soil at the same temperature. Additionally, statistical methods are utilised in this research to do analytics and data processing on test data, and test findings are visually displayed using a combination of graphs and tables. Finally, to understand the experimental research findings, this system employs analytical approaches. The results of the experiment show that wheat straw biochar can effectively reduce soil organic pollution, which can expand the research on the restoration of other crop straw biochar on agricultural land.
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-11; https://doi.org/10.1080/09064710.2021.2008476

Abstract:
In order to promote the development of agro-ecological economy and improve the reliability of the development model of agricultural circular economy, this paper explores the general framework of the coordinated development of the agricultural logistics ecosystem from the perspective of the construction of the agricultural logistics ecosystem, the composition of the ecosystem, the synergy stage, and the synergy goal. Moreover, this paper combines big data and Internet of Things technology to analyze its own path of the cooperative development mechanism of the agricultural logistics ecosystem, and uses typical cases to show the internal relationships between the main bodies of the agricultural logistics ecosystem. In addition, this paper attempts to explain the core essence of the agricultural logistics ecosystem and the internal relations of the subjects through the practice of enterprises. After constructing the system framework, this paper combines the intelligent algorithm to construct the intelligent model structure, and analyzes the system function realisation process based on the actual situation. Finally, this paper evaluates the performance of the algorithm model constructed in this paper through experimental research. From the experimental statistical results, it can be seen that the algorithm model constructed in this paper has a certain effect.
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-14; https://doi.org/10.1080/09064710.2021.2007994

Abstract:
The quality and safety of agricultural products is not only related to the health of consumers, but also to the sustainable and stable development of the economy, and even to the harmony and stability of the society. The application of the theory model of multiple co-governance of agricultural product quality and safety has certain theoretical support. This paper applies big data technology to agricultural product quality and safety governance, and uses big data methods to study the key control points in the process of agricultural product traceability. Moreover, based on the selected key control points, this paper studies the key traceability indicators corresponding to the key control points of each link. In addition, this paper combines multi-disciplinary knowledge to carry out a systematic study on the legal issues of multivariate co-governance of agricultural product quality and safety in my country from the perspective of law. From the experimental research and the final decision-making suggestions, we can see that the method proposed in this paper is feasible.
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-12; https://doi.org/10.1080/09064710.2021.2003853

Abstract:
Root-knot nematodes pose a severe threat to worldwide agricultural development. Due to the high toxicity of chemical nematicides, eco-friendly control strategies against root-knot nematodes need to be established. A pot and in vitro experiment were performed to estimate nematicidal potential of Pochonia chlamydosporia. P. chlamydosporia was used alone or in combination with two botanicals for controlling Meloidogyne incognita in chickpea. The laboratory assessment was performed with four prepared concentrations (S, S/2, S/10, S/25) of fungal inoculum of P. chlamydosporia against egg hatching and second-stage juvenile's mortality of M. incognita. All four concentrations reduced egg hatching and increased mortality of J2s. In pot experiment, P. chlamydosporia was used with chopped leaves of two botanicals viz., Ageratum conyzoides and Eichhornia crassipes against M. incognita in chickpea. All the treatments found significantly suppressed root infestation caused by M. incognita and improved growth and physiological attributes of chickpea. The combined application of P. chlamydosporia + A. conyzoides was found highly effective, and E. crassipes alone was least. Therefore, using P. chlamydosporia with botanicals is a promising sustainable strategy in agriculture against M. incognita infected chickpea.
Marilyn Kutamahufa, Lincon Matare, Gabriel Soropa, , Ezekia Svotwa, Arnold B. Mashingaidze
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-15; https://doi.org/10.1080/09064710.2021.1998593

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.
, Lv Jie
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-15; https://doi.org/10.1080/09064710.2021.2001040

Abstract:
Improving cost efficiency is one of the main ways to reduce the production cost of agricultural products and increase farmers' income. Human capital is an important way to improve cost efficiency. This article takes five major corn production areas as an example, uses data envelopment analysis to measure the cost efficiency and makes an empirical analysis of the impact of human capital on cost efficiency and its action path by using bidirectional fixed-effect model. It is found that the impact of educational human capital on cost efficiency presents a positive ‘U' shape, and there are differences among different regions through technical efficiency and allocation efficiency paths. Healthy human capital has a significant positive impact on cost efficiency, but with the increase of the number, its role will gradually weaken, except for the southwest region, and its impact path is allocation efficiency. The impact of technical human capital on cost efficiency shows a positive ‘U’ type change, and the change of each production area is roughly the same as the whole. Its impact on cost efficiency is mainly realised through allocation efficiency. This article provides a theoretical basis for different policy measures to better play the role of human capital in improving cost efficiency in China.
Acta Agriculturae Scandinavica, Section B — Soil & Plant Science pp 1-7; https://doi.org/10.1080/09064710.2021.2001042

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.
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