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| Quantified analysis and model structure of nitrogen and phosphorus in the slurry of large-scale dairy farms based on near-infrared transmission-diffuse reflectance spectroscopy |
| Received:April 16, 2019 |
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| KeyWord:large-scale dairy farm;slurry;near-infrared diffuse reflection spectrum(NIDRS);principal component analysis(PCA);partial least squares (PLS);total nitrogen (TN);total phosphorus (TP);quantified analysis model |
| Author Name | Affiliation | E-mail | | ZHAO Run | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | | | MOU Mei-rui | Laboratory of Agricultural Analysis, Tianjin Agricultural University, Tianjin 300384, China | | | WANG Peng | College of Engineering and Technology, Tianjin Agricultural University, Tianjin 300384, China | | | SUN Di | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | | | LIU Hai-xue | Laboratory of Agricultural Analysis, Tianjin Agricultural University, Tianjin 300384, China | | | ZHANG Ke-qiang | Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China | kqzhang68@126.com | | YANG Ren-jie | College of Engineering and Technology, Tianjin Agricultural University, Tianjin 300384, China | rjyang1978@163.com |
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| Abstract: |
| In order to establish an on-spot rapid testing method for determining the nitrogen and phosphorus contents in the slurry produced from large-scale dairy farms, for accurate prediction meanwhile replacing the regular monitoring procedure, we selected 23 typical large-scale dairy farms in the combination of growing and breeding for experimental analysis. Samples were collected throughout the entire course of slurry treatment, at both the vertical and horizontal levels, and then subjected to chemical and statistical analyses, i.e. near-infrared diffuse reflection spectrum (NIDRS), principal component analysis (PCA), and partial least squares (PLS) analysis. Under the conditions of multiple dynamic composite impacting factors, we established a rapid testing qualified analysis model for the global and entire process of slurry treatment. The results indicated that the organic components of slurry not only varied among the different stages of treatment on individual dairy farms, but also differed among the different farms, which were given by the PCA. Furthermore, we found that factors associated with the different stages of the slurry treatment procedure, which influenced the models, were reflected by the PCA. The linear fitting correlation coefficient (R) for the relationship between predicted and actual content of total nitrogen (TN) and total phosphorus (TP), during the establishment of the quantified analysis model and through the entire course and links, were 0.96 and 0.91, respectively. The root mean square errors of the predictions were 187.80 and 3.59, respectively. The R values for the relationship between the predicted and actual contents of TN and TP, during the establishment of the quantified analysis model and through the entire course and links, were 0.96 and 0.91, respectively, whereas the root mean square errors of the prediction were 238.59 and 6.56, respectively. In this study, we therefore demonstrated the feasibility of performing a quantitative analysis of the TN and TP content in slurry samples collected at the vertical and horizontal levels of the entire slurry treatment process based on NIDRS and PLS. Better prediction result was provided by the entire process model compared to the global model. Accordingly, TN and TP concentration over the entire course of the slurry treatment process on largescale dairy farms can be rapidly and efficiently traced and monitored in real time via the NIDRS technology. |
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