Performance evaluation of manure nitrogen output models suitable for lactating dairy cows in China

Citation

Dong, R., Dong, H., Beauchemin, K.A., Xin, H. (2018). Performance evaluation of manure nitrogen output models suitable for lactating dairy cows in China. Transactions of the ASABE, [online] 61(5), 1713-1727. http://dx.doi.org/10.13031/trans.12710

Plain language summary

This is a research collaboration with China. As the most populous country in the world, China’s
demand for animal-derived foods has been rising during its transition from a poor agrarian country to a prosperous industrial society. The marked increase in manure nitrogen output caused by accelerating rapid expansion of dairy production in China is a major global environmental concern. About 70% to 80% of the nitrogen consumed by dairy cows is excreted in manure (feces and urine), which can result in substantial losses of nitrogen to the atmosphere via ammonia, nitrous oxide and nitrogen oxides and to groundwater and surface waters via leaching, erosion, and runoff. These loses in turn may further degrade the quality of soil, air, water, and natural ecosystems. Global manure nutrient management contributes an estimated 5% of anthropogenic nitrous oxide emissions to the atmosphere. Due to the environmental impact of nitrogen and the need for mitigation, various empirical models have been developed to predict nitrogen excretion from cattle (we have developed one such model for Canada); however, few models have been evaluated using data from developing countries, and no comprehensive studies have been conducted for dairy production in China. Therefore, the objective of this study was to identify models suitable for use in China by evaluating the accuracy and precision of existing models for predicting manure nitrogen output in feces and urine using published data from dairy cows in modern Chinese production conditions. A total of 35 empirical models were evaluated for their ability to predict nitrogen excretion of dairy cows in China fed a wide range of diets, and best fit models were identified. By using data from dairy cows in China, we were able to identify the best prediction models of manure nitrogen, which may improve environmental stewardship of the dairy industry in China.

Abstract

Manure nitrogen (N) output from dairy cattle is a major environmental concern in China. Various empirical models are available to predict manure N output from dairy cattle, but the accuracy and precision of these models has not been assessed for Chinese conditions. The objective of this study was to evaluate the performance of extant models that predict different forms of manure N output for lactating dairy cows in China with the aim of identifying the best-fit and most suitable prediction models. A total of 35 empirical models were evaluated for their ability to predict N excretion of dairy cows in China fed a wide range of diets. The data set consisted of 99 treatment means from 32 publications with information on animal and dietary characteristics and N output flows. Performance of the models was evaluated using root mean square prediction error (RMSPE) and concordance correlation coefficient (CCC) analysis. A model (eq. 19) based on N intake (NI) was selected as best for predicting fecal N excretion (RMSPE = 15.8% and CCC = 0.75). Another model that also used NI as an input variable was most suitable for predicting urinary N (RMSPE = 26.0% and CCC = 0.63, eq. 14) and total N (RMSPE = 15.8% and CCC = 0.81, eq. 31). Models predicting urinary urea N (UUN) and urinary N / total N performed poorly. Overall, the deviation of the regression line from the equality line (y = x line) for even the best-fit urinary, fecal, and total N excretion models demonstrated the need to develop improved models for use under Chinese conditions. Using N output data from dairy cows in China to develop manure N output models may help improve environmental stewardship of the dairy industry in China.

Publication date

2018-01-01

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