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.
2025
Redaktører
Harald SolbergSammendrag
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Sammendrag
In broiler breeding, precise counting is crucial for improving production efficiency and ensuring animal welfare. Nevertheless, counting chickens precisely is a challenging task especially when young chicks always huddle for warmth. Although deep learning has been widely taken in different counting related tasks, more accurate localization and counting of chickens in high stocking density scenes still has not been well investigated. We propose a point supervised dense chickens flock counting network (PCCNet), which directly utilizes points as learning targets. The network adopts information feature fusion to assist the identification of broilers high stocking density scenes. In addition, considering the distance of neighboring points as matching cost in point matching algorithms is advantageous for generating more reasonable matching results, facilitating model convergence. To validate the effectiveness of the proposed network, a Chicken Counting Dataset (CCD) is built, consisting of two subsets separated by different ages: CCD_A and CCD_B. The accuracies of PCCNet on the two subsets of CCD are 97.85% and 97.06%, with corresponding Mean Absolute Errors (MAE) of 1.966 and 5.173, and Root Mean Square Errors (RMSE) values of 3.474 and 7.034, respectively. Our model achieves better broiler counting performance than other state-of-the-art (SOTA) methods.
Sammendrag
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Forfattere
Randi Berland FrøsethSammendrag
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Forfattere
Chloé GrieuSammendrag
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Forfattere
Johan A. Stenberg Daniel Flø Lawrence Richard Kirkendall Anders Nielsen Selamawit Tekle Gobena Beatrix Alsanius Jorunn Børve Paal Krokene Christer Magnusson Mogens Nicolaisen Line Nybakken Iben Magrete Thomsen May-Guri Sæthre Sandra A.I. WrightSammendrag
Citripar, a biological plant protection product containing the parasitic wasp Anagyrus vladimiri, is requested to be approved for use in Norway. The product is intended to be used against mealybugs, particularly Planococcus citri (citrus mealybug) and Planococcus ficus (vine mealybug) feeding on fruits, berries, vegetables and herbs in greenhouses and plastic tunnels, and on indoor plants. The Norwegian Food Safety Authority, therefore, asked the Norwegian Scientific Committee for Food and Environment to perform a risk assessment of the product. Occurrence and distribution in Norway: No observations of Anagyrus vladimiri have been reported from Norway. Potential for establishment and spread: VKM assesses that Anagyrus vladimiri will not be able to establish and spread in Norway under current conditions due to the absence of host organisms and too low winter temperatures, even in the warmest parts of the country. Potential effects on biodiversity: VKM assesses that Anagyrus vladimiri will not affect biodiversity in Norway, as there are currently no known native hosts for the wasp to parasitize. Taxonomic challenges that may affect the risk assessment: Anagyrus vladimiri belongs to the wasp family Encyrtidae, a family that includes the genus Anagyrus, many of which have quite tangled taxonomic histories. Individuals of what is now known as Anagyrus vladimiri were for many years identified as belonging to Anagyrus pseudococci. Anagyrus pseudococci and A. vladimiri are members of a complex of nearly indistinguishable species that are informally referred to as the Anagyrus pseudococci complex: A. pseudococci, A. vladimiri, A. kamali, A. dactylopii, A. kivuensis, and A. callidus. These species have been used for biological control of various mealybug species. Should incorrectly identified Anagyrus be imported to Norway, there would be no consequences for biological diversity, since the other species in the Anagyrus pseudococci complex are also host specific to mealybug genera that are not found in the Norwegian fauna, and they are physiologically unfit for the current Norwegian climate.
Sammendrag
Potato Fusarium dry rot and wilt are the most important soil- and seed-borne diseases in potatoes. They cause high economic losses during potato growth and storage across the world. Previous observations have shown that dryocrassin ABBA can induce resistance in potatoes. However, little is known about whether dryocrassin ABBA can suppress Fusarium oxysporum. In this research, we determined that exogenous dryocrassin ABBA significantly inhibited the mycelial growth, changed the cell ultrastructure, increased the MDA content, and decreased the antioxidant enzyme activity of F. oxysporum. The transcriptome analysis of F. oxysporum with or without dryocrassin ABBA indicated that 1244 differentially expressed genes (DEGs) were identified, of which 594 were upregulated and 650 were downregulated. GO term analysis showed that the DEGs were mostly related to biological processes. The KEGG pathway was mainly related to carbohydrate, amino acid, and lipid metabolism. Moreover, most of the expressions of PCWDEs, HSPs, and MFS were downregulated, decreasing the stress capacity and weakening the pathogenicity of F. oxysporum with dryocrassin ABBA treatment. These findings contribute to a new understanding of the direct functions of dryocrassin ABBA on F. oxysporum and provide a potential ecofriendly biocontrol approach for potato Fusarium dry rot and wilt