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5 results for “nitrogen fertilizer level”
Data from: Species decline under nitrogen fertilization increases community-level competence of fungal diseases
The artificial fertilization of soils can alter the structure of natural plant communities and exacerbate pathogen emergence and transmission. Although the direct effects of fertilization on disease resistance in plants have received some research attention, its indirect effects of altered community structure on the severity of fungal disease infection remain largely uninvestigated. We designed manipulation experiments in natural assemblages of Tibetan alpine meadow vegetation along a nitrogen-fertilization gradient over 5 years to compare the relative importance of direct and indirect effects of fertilization on foliar fungal infections at the community level. We found that species with lower proneness to pathogens were more likely to be extirpated following fertilization, such that community-level competence of disease, and thus community pathogen load, increased with the intensity of fertilization. The amount of nitrogen added (direct effect) and community disease competence (indirect effect) provided the most parsimonious combination of parameters explaining the variation in disease severity. Our experiment provides a mechanistic explanation for the dilution effect in fertilized, natural assemblages in a highly specific pathogen–host system, and thus insights into the consequences of human ecosystem modifications on the dynamics of infectious diseases.
Nitrogen fertilization plot level data - a Finnish case study
<p>The data is based on the fertilization study where we evaluated the spatial evenness of nitrogen (N) fertilization (measured fertilization dose on circular plots with radius of 7,98 m) in fertilized treatments and effects of fertilization treatments (target of 0, 150 and 200 kg N /ha) on short-term volume growth responses in two ground-fertilized (2018) Scots pine and in two airborne-fertilized (2019) Norway spruce study sites on medium fertile (Myrtillus-type, MT) upland forest sites in Eastern Finland. It was also studied the relationships between measured fertilization dose, N concentrations in needles and soil organic (humus) layer, and volume growth of trees (calculated based on diameter at breast height and height of sample trees) based on block level averages (based on data measured for three circular plots in each block). In each study area, we established three one hectare replicate blocks (with three circular study plots of 200 m² in each) for fertilizer treatments with target of 0, 150 and 200 kg N /ha. Spatial evenness of the fertilization was measured with textile funnels. Height, breast height diameter and vitality (living/dead) of trees were measured annually in each circular plot. Nutrient concentrations in needles (analysed in Yara laboratory in United Kingdom) and soil organic (humus) layer (analysed at UEF laboratory) were measured once. </p>
Data from: Species decline under nitrogen fertilization increases community-level competence of fungal diseases
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Data from: Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different nitrogen fertilizer levels
Nitrogen is one of the most important nutrient indicator for the growth of crops, which is closely related to chlorophyll content of leaves and thus influences the photosynthetic ability of crops. In this study, visible and near infrared (vis/NIR) reflectance spectroscopy combined with multi-variate analysis was used to identify hybrid rice varieties and nitrogen fertilizer levels, as well as to detect chlorophyll content associated with nitrogen levels. The support vector machine (SVM) algorithm was applied to identify five varieties of hybrid rice and six levels of nitrogen fertilizer. The results demonstrated that different varieties of hybrid rice for each nitrogen level can be well distinguished except for the highest nitrogen level, and no nitrogen level for each rice variety can be completely identified from the other five nitrogen levels. Further, several spectral indices combined with partial least squares (PLS) analysis were applied for estimating chlorophyll content of rice leaves from plants subject to different nitrogen levels, and a coefficient of determination (R2) of 97.8% and a ratio of performance to deviation (RPD) of 4.6 for all rice varieties indicated this as a preferable procedure. Experimental results demonstrated that vis/NIR spectroscopy can have a great potential for identification of rice varieties and evaluation of nitrogen fertilizer levels.
Data from: Vis/NIR reflectance spectroscopy for hybrid rice variety identification and chlorophyll content evaluation for different nitrogen fertilizer levels
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