Publications
NIBIOs employees contribute to several hundred scientific articles and research reports every year. You can browse or search in our collection which contains references and links to these publications as well as other research and dissemination activities. The collection is continously updated with new and historical material.
2024
Abstract
The birth process in animals, much like in humans, can encounter complications that pose significant risks to both offspring and mothers. Monitoring these events can provide essential nursing support, but human monitoring is expensive. Although there are commercial monitoring systems for large ruminants, there are no effective solutions for small ruminants, despite various attempts documented in the literature. Inertial sensors are very convenient given their low cost, low impact on animal life, and their flexibility for monitoring animal behavior. This study offers a systematic review of the literature on detecting parturition in small ruminants using inertial sensors. The review analyzed the specifics of published research, including data management and monitoring processes, behaviors indicative of parturition, processing techniques, detection algorithms, and the main results achieved in each study. The results indicated that some methods for detecting birth concentrate on classifying unique animal behaviors, employing diverse processing techniques, and developing detection algorithms. Furthermore, this study emphasized that employing techniques that include analyzing animal activity peaks, specifically recurrent lying down and getting up occurrences, could result in improved detection precision. Although none of the studies provided a completely valid detection algorithm, most results were promising, showing significant behavioral changes in the hours preceding delivery.
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Erik J. JonerAbstract
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Lillian ØygardenAbstract
Page 19 – 20. https://file.aconf.org/conf/hk/2023/11/194929/files/Division%203%20-%20Abstract.pdf
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Erik J. JonerAbstract
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Jens Leifeld Brieuc Hardy Alice Budai Lars Elsgaard Sonja Keel Florent levavasseur Zhi Liang Claudio Mondini Cesar Plaza Leonor RodriguesAbstract
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Cornelya Klutsch Seniczak Anna Holovachov Oleksandr Juho Vuolteenaho Torbjørn Ekrem Snorre HagenAbstract
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Abstract
Soil pH is one of the soil properties that determines the levels of bioavailability of macro and micronutrients for plant roots. Apple rootstocks are the medium by which these nutrients are absorbed and shuttled to grafted scions. Our experiment was aimed at understanding the phenotypic and underlying genotypic variation of apple roots interacting with the same soil amended to five pH levels (4.5, 5.5, 6.5, 7.5 and 8.5) by monitoring growth and leaf nutrient concentrations (Ca, Cu, Fe, K, Mg, Mn, Na, P, S, Zn, and Ni) of one year old Golden Delicious trees grafted on 28 different apple rootstocks. Data was analyzed as a full factorial of pH and rootstock type. Soil pH amendment was successful as least squares means for the pH main effect displayed expected nutrient content curves for Mo (increasing with higher pH) and for Mn (decreasing with higher pH). ANOVA showed significance for main effects (pH and Rootstock Type) while the interaction (pH × Rootstock Type) was significant only for Mo. Both main effects were significant for Mn, P, and Ca whereas pH was significant for Fe and rootstock type was significant for Cu, Zn, and S. No significant effects were observed for Na, Ni and K. Multivariate analyses using rootstock genotype LS means revealed diverse correlation (pairwise Pearson) patterns when the data were analyzed as a whole or split by pH treatment levels. For example, the genotypic similarity (Pearson pairwise) between K and Mo was not significant at pH level 4.5 (r=-0.342 and p=0.109) whereas at pH 8.5 such relationship was highly correlated (r=-0.547 and p=0.006). Similar results were observed among other nutrients. Dual hierarchical clustering (Ward) displayed different number and composition of clusters according to pH where two main clusters were observed for pH 4.5 and three main clusters for the other pH levels. Rootstocks G.41, G.890, MM.111 and G.935 were tightly clustered at pH 7.5 whereas at pH 5.5 they all fell into different clusters. These results suggest the individuality of the interaction of each rootstock with pH levels with implications on fertilizer management practices and optimum pH and planting amendments specific for rootstock type.