Department of Agricultural Biotechnology and Research Institute for Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, Gwanak-ku, Seoul 151-921, Republic of Korea.
Bioresour Technol. 2011 Oct;102(19):8848-59. doi: 10.1016/j.biortech.2011.06.087. Epub 2011 Jul 1.
Swine waste land application has increased due to organic fertilization, but excess application in an arable system can cause environmental risk. Therefore, in situ characterizations of such resources are important prior to application. To explore this, 41 swine slurry samples were collected from Korea, and wide differences were observed in the physico-biochemical properties. However, significant (P<0.001) multiple property correlations (R²) were obtained between nutrients with specific gravity (SG), electrical conductivity (EC), total solids (TS) and pH. The different combinations of hydrometer, EC meter, drying oven and pH meter were found useful to estimate Mn, Fe, Ca, K, Al, Na, N and 5-day biochemical oxygen demands (BOD₅) at improved R² values of 0.83, 0.82, 0.77, 0.75, 0.67, 0.47, 0.88 and 0.70, respectively. The results from this study suggest that multiple property regressions can facilitate the prediction of micronutrients and organic matter much better than a single property regression for livestock waste.
由于有机肥料的使用，猪粪在土地中的应用增加了，但在可耕地系统中过度应用可能会带来环境风险。因此，在应用之前，对这些资源进行原位特性描述非常重要。为了探索这一点，从韩国收集了 41 个猪粪浆样本，观察到其理化性质存在显著差异。然而，养分与比重（SG）、电导率（EC）、总固体（TS）和 pH 值之间存在显著（P<0.001）多重属性相关性（R²）。发现不同的比重计、电导率计、干燥箱和 pH 计组合可用于估计 Mn、Fe、Ca、K、Al、Na、N 和 5 天生化需氧量（BOD₅），其 R² 值分别提高到 0.83、0.82、0.77、0.75、0.67、0.47、0.88 和 0.70。本研究结果表明，与单一属性回归相比，多属性回归可以更好地预测牲畜废物中的微量元素和有机物。
