Effect of low-glucosinolate crambe meal in diet on lactational performance, efficiency of nutrient utilization, and hepatic function of crossbred Holstein × Zebu and Jersey cows.

Crambe meal (CM) is a potential dietary protein source for ruminant, but its effects in diets for lactating dairy cows remains unknown. We evaluated the effects of inclusion of the low-glucosinolates (GIs) CM (450 mg GIs/kg DM) in partial total mixed ration (pTMR) on performance, efficiency of nutrient utilization, and hepatic function of crossbred Holstein × Zebu and Jersey cows. Eight crossbred Holstein × Zebu cows and four Jersey cows were blocked by breed and days in milk, and randomly assigned in a replicated 4 × 4 Latin square design, and distributed in one of four isonitrogenous TMRs (130 g CP/kg DM): 0, 45, 90, and 135 g CM/kg DM pTMR. Crambe meal was included in pTMR replacing soybean meal (SBM) and ground corn grain (GCG). The pTMRs were offered ad libitum between 7:00 a.m. and 5:00 p.m. Cows were kept on pasture of Panicum maximum cv. Mombaça (90.4 g CP/kg DM) between 6:00 p.m. and 6:30 a.m. Pasture intake was measured from external and internal fecal excretion marker. Inclusion of CM did not affect (P ≤ 0.05) the DM intakes of pTMR and pasture, apparent total-tract digestibilities of organic matter, CP and NDF, ruminal outflow microbial protein, milk yield, milk composition, urinary N excretion, milk N efficiency, and level of plasm hepatic enzymes. The effects of CM inclusion in pTMR were independent of breed. Low-glucosinolates CM can be incorporated up to 135 g/kg DM in pTMR in replacement of SBM and GCG without affecting performance, efficiency of nutrient utilization, and hepatic function of crossbred Holstein × Zebu and Jersey cows.

Factors Affecting Enteric Emission Methane and Predictive Models for Dairy Cows.

Enteric methane emission is the main source of greenhouse gas contribution from dairy cattle. Therefore, it is essential to evaluate drivers and develop more accurate predictive models for such emissions. In this study, we built a large and intercontinental experimental dataset to: (1) explain the effect of enteric methane emission yield (g methane/kg diet intake) and feed conversion (kg diet intake/kg milk yield) on enteric methane emission intensity (g methane/kg milk yield); (2) develop six models for predicting enteric methane emissions (g/cow/day) using animal, diet, and dry matter intake as inputs; and to (3) compare these 6 models with 43 models from the literature. Feed conversion contributed more to enteric methane emission (EME) intensity than EME yield. Increasing the milk yield reduced EME intensity, due more to feed conversion enhancement rather than EME yield. Our models predicted methane emissions better than most external models, with the exception of only two other models which had similar adequacy. Improved productivity of dairy cows reduces emission intensity by enhancing feed conversion. Improvement in feed conversion should be prioritized for reducing methane emissions in dairy cattle systems.