Track 2-05: Carbon Sequestration and Cycling
Description
Livestock excrement is one of the major sources of greenhouse gas (GHG) emission in pasture. As a first step in evaluating its contribution to overall GHG emissions, an understanding of excretion distribution patterns in pastures is required. Betteridge et al. (2010) describe a urine sensor that detects and logs each urination event of female sheep and cattle. The urine sensor records time and ambient temperature at one-second intervals however, patters of dung distribution are not specified. The objective of this study was to predict spatial distribution of cattle dung. The knowledge of livestock excrement position may be useful for farmers to minimize overall GHG emissions.
Citation
Yoshitoshi, Rena; Watanabe, Nariyasu; Kawamura, Kensuke; Sakanoue, Seiichi; Lim, Jihyun; and Yasuda, Taisuke, "Bayesian Modeling for Estimating Cattle’s Dung position in Pasture" (2020). IGC Proceedings (1993-2023). 8.
https://uknowledge.uky.edu/igc/22/2-5/8
Included in
Bayesian Modeling for Estimating Cattle’s Dung position in Pasture
Livestock excrement is one of the major sources of greenhouse gas (GHG) emission in pasture. As a first step in evaluating its contribution to overall GHG emissions, an understanding of excretion distribution patterns in pastures is required. Betteridge et al. (2010) describe a urine sensor that detects and logs each urination event of female sheep and cattle. The urine sensor records time and ambient temperature at one-second intervals however, patters of dung distribution are not specified. The objective of this study was to predict spatial distribution of cattle dung. The knowledge of livestock excrement position may be useful for farmers to minimize overall GHG emissions.
