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Optimized balance between crop productivity, restoration and maintenance of vital soil functions and soil carbon sequestration and storage – the SmartSOIL (FP7) project
Published November 13, 2012
213-215

Soils provide the most indispensable function of supporting the production of food and feed for a growing human population. At the same time they provide a range of regulating and supporting functions related to climate change and removal of greenhouse gases. The majority of the soil functions are closely linked to the flows and stocks of soil ...organic carbon (SOC); low levels of both flows and stocks may seriously interfere with several of the essential soil functions and thus affect the ecosystem services that soils deliver. Soil degradation is considered a serious problem in Europe and a large part of the degradation is caused by intensive cultivation practices in agriculture. The aim of the SmartSOIL project is to link the results of different scientific fields through a holistic and multidisciplinary approach and as a result develop a decision making tool contributing to sustainable development.

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Significance of risk assessment metric in audit of financial statements and reports
Published September 2, 2009
215-225

Management and decision-support of today’s businesses require design and application of management reports based and high-end controlling systems. One of the main source of information for controlling systems is financial accounting that should be designed to support planning, controlling and monitoring systems. Financial and accounting infor...mation is essential for decision making support of organizations. Therefore
eligible assurance is needed that these information are true and fair. Internal and external financial audits as assurance qualifiers are linking to the controlling systems through assurance. Weaknesses of and threats to controlling systems shall be recovered and communicated to the management during qualifying process. Recovering of threats should be based on risk analysis, assessment. In this study I would like to present some methods and tools of risk assessment of financial reports, statements and a way on they can be further developed.

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A growth model to predict body weight and body composition of broilers
Published December 28, 2018
17-24

Models predicting the nutrient partitioning and animal performance have been developed for decades. Nowadays, growth models are used in practical animal nutrition, and they have particular importance in precision livestock farming. The aim of the present study was to introduce a broiler model and to provide examples on model application. The mo...del predicts protein and fat deposition as well as the body weight of an individual broiler chicken from digestible nutrient intake over time. Feed intake (FI) and the digestible nutrient content of the feed are inputs as well as some animal factors like: initial BW, feed intake at 1 and 2 kg of BW, precocity and mean protein deposition. The protein and energy metabolism is represented as in the classical nutrient partitioning models. The protein deposition (PD) is driven by digestible amino acid supply and is under “genetic control”, the so-called potential PD limits the actual PD if protein is oversupplied.

The authors discuss how the model can be used to simulate the animal response upon different scenarios. Examples are given to show that the diet might be limiting if some animal trait is changed. Applicability of the model has shown through running the model by using different feed strategies (three- vs five-phase-feeding) and variations with animal factors. In conclusion, growth models are useful tools to support decision making for defining the most suitable feeds used in a broiler farm. The model presented in this paper shows a high sensibility and flexibility to test different scenarios. By challenging the model with different inputs, the animal response in terms of changes in body weight and feed conversion can be understood more by studying the shift in deposition of chemical constituents. The examples provided in the present paper shows the benefit of using mathematical models and their applicability in precision nutrition. It can be concluded that the growth model helps to apply “from desired feed to desired food” concept.

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