Correlation Analysis between Quality Characteristics and Fruit Mineral Element Contents in 'Fuji' Apples

[Objective] The aims were to explore the relationship between the contents of fruit mineral elements and quality features of the ＇Fuji＇ apple, screen major mineral elements of the fruit affecting fruit quality features, and set up optimum proposals of fruit mineral elements for good fruit qualities, so as to provide a theoretical basis for the reasonable orchard soil and foliar fertilizer applications to increase fruit quality and reduce the physiological diseases related to the ＇Fuji＇ apple. [Methods] The fruit mineral elements and quality indicators of ＇Fuji＂ apples were in- vestigated and analyzed, which were collected from the 153 commercial apple or- chards of ＂Fuji＇ apple located in 51 counties. The variable importance for projection （VlP） of partial least squares regression （PLS） method was used to analyze the model effect and weight analysis impact of the fruit mineral element contents to fruit quality, screen out major factors of fruit mineral elements influencing the different fruit qualities, and set up the regression equation of the fruit qualities and major fruit mineral elements. Linear programming was used to obtain optimum proposals of the fruit mineral elements to achieve good ＇Fuji＇ apple qualities. [Results] The mineral elements content and quality characteristics in ＂Fuji＇ apple fruit had great differences in the different produce regions in which the maximum content of nitro- gen, iron, zinc and boron in the ＇Fuji＇ fruit were12.06, 6.17, 7.7, and 10.08 times greater than the minimum respectively, and the differences for titratable acid and the SSC/TA ratio were 2.33 and 2.16 times respectively. The correlation analysis between the fruit mineral element contents and qualities showed that the nitrogen content of fruit had a significantly negative correlation with the soluble solid content, SSC/TA ratio and red color area, while the calcium and iron contents in the fruit were in significantly positive correlation with the soluble solid content and SSC/TA ratio. The model effect and weight analysis showed that the content of nitrogen and iron in the fruit had a greater influence on the integral fruit quality, followed by phosphorus, potassium and calcium. The variable importance for projection （VlP） technology of PLS found that the mean fruit weight was primarily affected by nitro- gen, phosphorus and potassium, and the soluble solid was primarily affected by ni- trogen, calcium and iron, while the red color area was primarily affected by nitro- gen, potassium, calcium, iron and zinc. The regression equation between fruit quality and mineral element contents showed that the mean fruit weight had a greater pos- itive effect coefficient with the content of phosphorus and potassium, and a greater negative effect coefficient with the content of nitrogen in the fruit. Moreover, the sol- uble solid had the largest negative effect coefficient with nitrogen and largest posi- tive effect coefficient with calcium and iron in the fruit. [Conclusion] The maximum content of soluble solid and titratable acid were 1.5 times more than the minimum, and nitrogen, iron, zinc and boron were 6 times more than in the ＇Fuji＇ apple fruit in the different produce regions. Therefore, it is a key technological measure to improve the overall qualities of the ＂Fuji＇ apple by decreasing the content of nitrogen, and increasing the contents of iron, phosphorus, potassium and calcium in the fruit.

Effects of Different N, P and K Fertilizer Levels on Growing Characters and Yield of Corn

[Objective] To provide scientific guidance for corn production in Suijiang County of Yunnan Province, explore the best recommended fertilization of corn, and provide a scientific basis for formulating the formula fertilization of corn in Suijiang County. [Method] Through carrying out ＂3414＂ corn field fertilizer efficiency experiment in Suijiang County, with the help of ＂3414＂ field experiment design and data analysis management system＂ software, the ternary quadratic and one-variable quadratic fertilizer efficiency equations on corn yield were analyzed. [Result] The optimum fertilization scheme for corn in the region was as follows： when pure N, pure P2O5 and K2O were respectively 244.38, 58.75 and 107.38 kg/hm^2, the the obtained best yield of corn was 6 975.60 kg/hm^2, and the maximum benefit was 16 888.58RMB/hm^2. [Conclusion] The reasonable formula of N, P and K fertilizers can not only improve the yield of corn, but also increase economic benefit, having certain reference significance to the development of formula fertilization of corn in Suijiang County.

Eportfolio and Education for Sustainable Development （ESD） Fusion： An Innovation for 21st Century Technology

The purpose of this study is to provide a concrete innovation on how Education for Sustainable Development （ESD） is integrated into higher education using Advanced Educational Statistics as its platform. With this, university faculty, master＇s degree students and administrators can make appropriate strategies to become globally competitive and responsive to the sustainability mantra. A successful innovation has been developed, and found to be relevant and achievable. The key ingredient of this innovation is to utilize statistics as a platform of ESD fused with Multiple intelligences （MI）, Higher-Order Thinking Skills （HOTs） and latest technology. Moreover, this paper used a descriptive-correlation design, which identified the difficulties encountered by the master＇s degree students in making their innovations; then determined the relationship between the attitudes of students toward e-portfolio and their level of fusing ESD in statistics relative to： MI, HOTs and latest technology. Multiple regression analysis was utilized to predict its relationships. This innovation is highly appropriate for multidisciplinary, international students. It connects ESD principles with practice as it enables university＇s effort to contribute to ESD. This paper is supported by the actual, students＇ output which can be found in the website （http：//statisticsforndmu.blogspot.com/）.

Analysis of Urban Environmental Conditions Based on Satellite Remote Sensing and Socioeconomic Conditions Based on StatisticsmA Case Study of Semarang Municipality, Indonesia

In this study, urban environmental condition using Terra ASTER （advanced spaceborne thermal emission and reflection radiometer） remotely sensed satellite imagery was estimated and compared to statistically derived socioeconomic condition data from Semarang Municipality in Central Java Province： Indonesia. From satellite imagery： U1 （urban index） and NDVI （normalized difference vegetation index） were calculated and used that information to construct urban density and vegetation distribution maps of the study area. Urban density and vegetation distribution were combined to estimate urban environmental condition; then compared to socioeconomic conditions. The results revealed that the Semarang Municipality had a higher percentage of developed or urbanized areas （49%） compared to the percentage of area covered by vegetation （42%）. In general, southern Semarang had a higher quality urban environment and socioeconomic condition compared to northern Semarang, which had a higher urban density, lower quality urban environment and lower socioeconomic condition. The indicate that socioeconomic condition can be determined using satellite-derived urban and vegetation indices even in places like Semarang Municipality, where the population settlement was sparse and unorganized.

Managerial Compensation Program and Capital Structure： An Empirical Study of Brazilian Companies

The agency theory indicates the existence of costs as a way to mitigate conflicts between shareholders and managers, including： managerial compensation program, acquisition of shares by managers, monitoring of executives, and controlling shareholders. This study aims to determine the relevance of some variables related to compensation programs and of other determinants of the corporate debt level. It has considered a sample of 89 firms, which were analyzed through logistic regression （cross section）. The model created has indicated a level of predictive assertiveness of approximately 87%.

Using Remote Sensing Technologies for the Research of the Transformation of Ecosystems （Case Study： Lake Sevan Basin）

In mountain regions such as Lake Sevan basin, landscape-ecological problems are manifested sharply. Lake Sevan basin lies in the east of the RA （Republic of Armenia） and is characterized by unique natural and economic peculiarities. It covers an area of 4,891 km^2, or 16% of the entire territory of the country. The article considers the dynamics of the ecosystems of Lake Sevan basin through remote sensing data. To achieve the stated goal, multi-zonal satellite images Landsat ETM （Enhanced Thematic Mapper Plus）, Landsat TM （Thematic Mapper） and Landsat MSS （Multispectral Scanner） were applied. All satellite imagery data was geometrically and atmospherically corrected. Temporal changes were determined using both a supervised classification approach and NDVI （normalized difference vegetation index） in that time series. Supervised procedure, a hierarchical land cover classification system was used to detect the different land cover classes in the Lake Sevan basin, Armenia. According to this system, four land cover categories exist in this area： （1） water; （2） vegetation-bare; （3） man-altered land; （4） vegetated land, which indicate that for the last 40 years the study area has displayed expansion of man-made landscapes and vegetation-bare sites, ecosystems having lower biomass and reduction of woodlands. NDVI values and the area they covered indicate that between 1973 and 2011, the area of almost non-vegetated lands increased approximately by three times. The main cause of such changes is activation of erosion processes as a result of a climate warming.