An Optimization Design for the Resource Utilization of Grape Branches Based on the Orthogonal Test and Gray Relational Analysis Method

Minghao Yang, Yican Zhang, Xiaodi Wang, Zhiqiang Wang, Peng Li, Xiangbin Shi, Xiaolong Wang, Baoliang Wang, Yumei Li, Yuquan Ma, Fengzhi Liu () and Haibo Wang ()
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Minghao Yang: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Yican Zhang: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Xiaodi Wang: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Zhiqiang Wang: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Peng Li: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Xiangbin Shi: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Xiaolong Wang: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Baoliang Wang: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Yumei Li: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Yuquan Ma: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Fengzhi Liu: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China
Haibo Wang: Research Institute of Pomology, Chinese Academy of Agricultural Sciences, Xingcheng 125100, China

Sustainability, 2023, vol. 15, issue 14, 1-15

Abstract: Composting is an environment-friendly and sustainable way to transform grape branches (GBs) into a useful product. Different parameters can differently affect fertilizer quality. Here, the compost product nutrient content was evaluated using an L9 orthogonal array (parameters, nitrogen source: chicken manure, sheep manure, urea; stirring temperature: 50, 60, 70 °C; initial pH: 6, 7, 8; conditioning agent: calcium superphosphate, zeolite, and copper sulfate). Among the treatments, the T3 (chicken manure, 70 °C, pH = 8, copper sulfate), T2 (chicken manure, 60 °C, pH = 7, zeolite), and T9 (urea, 70 °C, pH = 7, calcium superphosphate) had high gray relational grades (0.7424, 0.7132, 0.7110, respectively). The nitrogen source type (R = 0.1140) had the greatest influence on the nutrient content of the final product, followed by the stirring temperature (R = 0.1104), the conditioning agent (R = 0.0522), and the initial pH (R = 0.0408). Finally, the best nitrogen source of the grape branch compost was chicken manure, the best stirring temperature was 70 °C, the best initial pH was 7, and the best conditioning agent was zeolite. An experimental verification showed that the weighted correlation degree of the optimal treatment predicted by the orthogonal experiment increased by 3.63%.

Keywords: compost factor; composting effect evaluation; grape branch; gray relational analysis; orthogonal test (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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