2,608 research outputs found

    L∞-norm and energy quantization for the planar Lane–Emden problem with large exponent

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    For any smooth bounded domain (Formula presented.), we consider positive solutions to (Formula presented.)which satisfy the uniform energy bound (Formula presented.)for (Formula presented.). We prove convergence to (Formula presented.) as (Formula presented.) of the (Formula presented.)-norm of any solution. We further deduce quantization of the energy to multiples of (Formula presented.), thus completing the analysis performed in De Marchis et al. (J Fixed Point Theory Appl 19:889–916, 2017)

    Review: potential biotechnological assets related to plant immunity modulation applicable in engineering disease-resistant crops.

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    Made available in DSpace on 2018-05-26T00:37:56Z (GMT). No. of bitstreams: 1 1s2.0S0168945217309421main.pdf: 689707 bytes, checksum: 038b121ee1da5c77d7ee341664f7e460 (MD5) Previous issue date: 2018-05-25bitstream/item/177697/1/1-s2.0-S0168945217309421-main.pd

    Sensitivity of the sorghum yield to individual changes in climate parameters: modelling based approach.

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    Based on sensitivity analyses the effect of changing in climate on sorghum has been investigated. This has been achieved by conducting crop modeling experiments carried out with weather observations and output of global climate models. As can be anticipated results demonstrated that the sorghum yield is more sensitive to rainfall, solar radiation and CO2 concentration. However, the increase in CO2 concentration has a positive effect on yield in years that the crop is submitted to water stress. This effect is extremely reduced under well watered conditions and therefore is subject to the climate inter-annual variability. Accumulated solar radiation along the sorghum cycle below 1900 MJ m?2 has also been shown to reduce the yield. Compared to other weather variables the sorghum yield is less sensitive to changes in relative humidity. In this sense, changes in stomatal closure and therefore photosyntesis is not highly dependent on water vapor pressure. These finds can be applied for both climate observations and global models output
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