Hu Y.-T.,National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer |
Hu Y.-T.,Shandong Agricultural University |
Shi L.-H.,National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer |
Shi L.-H.,Shandong Agricultural University |
And 9 more authors.
Chinese Journal of Applied Ecology | Year: 2014
In order to resolve the problem of poor permeability of sewage sludge compost (SSC) which was used as the substitution of peat, perlite was used to regulate the permeability of the sewage. The pure SSC was used as control. The proportions of perlite in the mixtures with SSC were 20%, 40%, 60%, 80% and 100% (V/V), respectively. The effects of different perlite ratios on the physical and chemical properties and the growth of Tagetes patula were studied. The bulk density, water holding porosity and water holding porosity to aeration porosity decreased, but the total porosity and aeration porosity increased with the increasing addition of perlite to the SSC. For the chemical properties, the pH increased, and the EC and nutrient contents decreased with the increasing addition of perlite to the SSC. The aboveground biomass and flowers of T. patula were the highest in the 60% perlite treatment, and the lowest in the pure SSC treatment. The root morphology and activity were the best in the 40%, 60% and 80% perlite treatments. Aeration was the strongest factor to impact the maximum root length and average root diameter. Perlite promoted the growth of T. patula mainly through impacting the physical properties of the SSC. The addition of 60% perlite to the SSC could significantly improve the poor aeration and decrease the high salinity greatly in the SSC and regulate the growth of the root and aboveground of T. patula.
Wang Z.,Shandong Agricultural University |
Zhu X.,Shandong Agricultural University |
Zhu X.,National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer |
Fang X.,Shandong Agricultural University |
Wang Y.-A.,Shandong Agricultural University
Intelligent Automation and Soft Computing | Year: 2015
A hyperspectral-based chlorophyll content estimating model for young apple tree leaves is proposed in this paper. It aims to have a contribution to modernized production and scientific management. The study takes the trees, which are two years old as the research objects. The young apple tree leaves are picked in autumn when they stop growing, and the spectral data and the chlorophyll content in the leaves of young apple trees are measured. First derivative (FD) is used to process the spectral data, and choose sensitive parameters. Hyperspectral models for estimating chlorophyll content in the leaves of young apple trees are established by a single variable (use one variable to establish models) and partial least square (PLS) methods. Four sensitive parameters are chosen to establish hyperspectral estimating models using partial least square. The model has the highest R2 (coefficient of determination), lower RMSE (root mean square error) and RE% (relative error). The partial least square model is more appropriate for estimating chlorophyll content in the leaves of young apple tree. © 2015, © 2015 TSI® Press.