Publikasjoner
NIBIOs ansatte publiserer flere hundre vitenskapelige artikler og forskningsrapporter hvert år. Her finner du referanser og lenker til publikasjoner og andre forsknings- og formidlingsaktiviteter. Samlingen oppdateres løpende med både nytt og historisk materiale. For mer informasjon om NIBIOs publikasjoner, besøk NIBIOs bibliotek.
2023
Redaktører
Siv Karin Paulsen RyeSammendrag
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Forfattere
Cornelya KlutschSammendrag
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Forfattere
Ralf RautenbergerSammendrag
Aquaculture of marine macroalgae is an important part of the world’s food production. In Norway, the fast-growing kelp Saccharina latissima has the highest potential for industrial biomass production. Aquaculture in the country’s fjords is economically more viable for SMEs, supports the development of IMTA and could allow the industry to approach the projected 20 million tons by 2050. However, S. latissima is exposed to a considerable decline in seawater salinity during the growth season, which affects the biomass production. This presentation shows results of industrial R&D projects in which the presence of “low-salinity tolerant” strains of S. latissima in a North Norwegian fjord and their responses to the seasonal salinity decline was studied. In a laboratory-based common garden experiment, sporophytes of S. latissima from different locations in Skjerstadfjorden were cultivated under different salinities for six weeks. Growth and photosynthetic parameters were measured to understand their physiological responses to salinity stress. Then their F1 generation were seeded on ropes and deployed at a commercial aquaculture site in Skjerstadfjorden to study strain-specific differences in biomass production and yield, optimal growth depths and biochemical composition of S. latissima. In addition, the aquaculture site was characterised by measurements of physical and chemical parameters. The projects’ results will help North Norwegian macroalgae producers to improve the biomass production and biochemical composition of S. latissima. These findings could lay the foundation for the development of breeding programmes in Norway and could demonstrate the macroalgae producers in Norway the possibility of establishing aquaculture in fjords.
Sammendrag
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Sammendrag
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Sammendrag
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Forfattere
Chloé GrieuSammendrag
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Forfattere
Chloé GrieuSammendrag
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Forfattere
Yi Zhang Yijing Feng Zhonghao Ren Runguo Zuo Tianhui Zhang Yeqing Li Yajing Wang Zhiyang Liu Ziyan Sun Yongming Han Lu Feng Mortaza Aghbashlo Meisam Tabatabaei Junting PanSammendrag
The ideal conditions for anaerobic digestion experiments with biochar addition are challenging to thoroughly study due to different experimental purposes. Therefore, three tree-based machine learning models were developed to depict the intricate connection between biochar properties and anaerobic digestion. For the methane yield and maximum methane production rate, the gradient boosting decision tree produced R2 values of 0.84 and 0.69, respectively. According to feature analysis, digestion time and particle size had a substantial impact on the methane yield and production rate, respectively. When particle sizes were in the range of 0.3–0.5 mm and the specific surface area was approximately 290 m2/g, corresponding to a range of O content (>31%) and biochar addition (>20 g/L), the maximum promotion of methane yield and maximum methane production rate were attained. Therefore, this study presents new insights into the effects of biochar on anaerobic digestion through tree-based machine learning.