Publications by authors named "Jaime R Rosero-Noguera"
Article Synopsis
- * Key factors affecting nitrogen excretion included dry matter intake, nitrogen intake, dietary composition, and animal growth metrics; models were evaluated using statistical measures like root mean square error (RMSE) and concordance correlation coefficient (CCC).
- * While fecal N excretion models showed better accuracy than those for urinary excretion, different predictors led to varying performances, with nitrogen intake generally performing better for urine, indicating the complexity of predicting N excretion based on diet and management.
Successful mitigation efforts entail accurate estimation of on-farm emission and prediction models can be an alternative to current laborious and costly in vivo CH measurement techniques. This study aimed to: (1) collate a database of individual dairy cattle CH emission data from studies conducted in the Latin America and Caribbean (LAC) region; (2) identify key variables for predicting CH production (g d) and yield [g kg of dry matter intake (DMI)]; (3) develop and cross-validate these newly-developed models; and (4) compare models' predictive ability with equations currently used to support national greenhouse gas (GHG) inventories. A total of 42 studies including 1327 individual dairy cattle records were collated.
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