Maintenance Decision Method Based on Risk Level

The purpose of this research is to know about working capital management applied, and its influence on profitability and risk. The research object is trading company moves in import & distribute chemical raw material. The research used analysis descriptive method, and the hypothesis was testing by simple linier regression, correlation, and determination. The result of the research shows that the effect of the implementation of working capital management on the change of the net working capital with tend to rise has a profitability level of 10.4% lower than the net working capital change with tend to go down of 46%, but instead on the risk level, the net working capital change with tend to rise has a risk level of 43.8% higher than the change in net working capital with tend to go down of 0.3%.Based on t test, the result shows that the net working capital change influence is not significant to profitability and risk.

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Optimizing genotype-environment-management interactions to ensure silage maize production in the Chinese Maize Belt

Climate Research ◽

10.3354/cr01599 ◽

2020 ◽

Vol 80 (2) ◽

pp. 133-146

Author(s):

L Zhang ◽

Z Zhang ◽

J Cao ◽

Y Luo ◽

Z Li

Keyword(s):

Field Experiments ◽

Weather Conditions ◽

Growth Cycle ◽

High Energy ◽

Risk Level ◽

Energy Yield ◽

Maize Production ◽

Early Date ◽

Environment Management ◽

Silage Maize

Grain maize production exceeds the demand for grain maize in China. Methods for harvesting good-quality silage maize urgently need a theoretical basis and reference data in order to ensure its benefits to farmers. However, research on silage maize is limited, and very few studies have focused on its energetic value and quality. Here, we calibrated the CERES-Maize model for 24 cultivars with 93 field experiments and then performed a long-term (1980-2017) simulation to optimize genotype-environment-management (G-E-M) interactions in the 4 main agroecological zones across China. We found that CERES-Maize could reproduce the growth and development of maize well under various management and weather conditions with a phenology bias of <5 d and biomass relative root mean square error values of <5%. The simulated results showed that sowing long-growth-cycle cultivars approximately 10 d in advance could yield good-quality silage. The optimal sowing dates (from late May to July) and harvest dates (from early October to mid-November) gradually became later from north to south. A high-energy yield was expected when sowing at an early date and/or with late-maturing cultivars. We found that Northeast China and the North China Plain were potential silage maize growing areas, although these areas experienced a medium or even high frost risk. Southwestern maize experienced a low risk level, but the low soil fertility limited the attainable yield. The results of this paper provide information for designing an optimal G×E×M strategy to ensure silage maize production in the Chinese Maize Belt.

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