Abstract

Simple Summary“Short-Term Adaptation of Dairy Cattle Production Parameters to Individualized Changes in Dietary Top Dress” focuses on feeding dairy cattle varying amounts of top dressed corn grain, soybean meal, or grass hay in order to obtain data on individual cow responses to be utilized for future development of individualized dairy precision feeding models. Precision feeding systems aimed at feeding dairy cattle individually to increase feed efficiency could contribute to profitability of dairies. The information provided in this study includes considerations of how we should design such systems.Immediate and short-term changes in diet composition can support individualized, real-time interventions in precision dairy production systems, and might increase feed efficiency (FE) of dairy cattle in the short-term. The objective of this study was to determine immediate and short-term effects of changes in diet composition on production parameters of dairy cattle fed varying amounts of top dressed commodities. A 4 × 4 replicated Latin square design was used to evaluate responses of twenty-four Holstein cows fed either no top dress (Control) or increasing amounts of: corn grain (CG), soybean meal (SBM), or chopped mixed grass hay (GH) top dressed on a total mixed ration (TMR) over four, 9-day periods. Throughout each period, top dressed commodities were incrementally increased, providing 0% to 20% of calculated net energy of lactation (NEL) intake. Measured production responses were analyzed for each 9-d period using a mixed-effects model considering two different time ranges. Samples collected from d 3 and 4 and from d 7 and 8 of each period were averaged and used to reflect “immediate” vs. “short-term” responses, respectively. In the immediate response time frame, control fed cows had lower milk yield, milk fat yield, and milk true protein yield than CG and SBM supplemented animals but similar responses to GH supplemented animals. Milk fat and protein percentages were not affected by top dress type in the immediate term. In the short-term response time-frame, GH supplemented animals had lower DMI and milk fat yield than all other groups. Control and GH supplemented cows had lower milk yield than CG and SBM fed cows. In the immediate response time frame, FE of SBM supplemented cows was superior to other groups. In the short-term time frame, FE of GH and SBM groups was improved over the control group. Results suggest that lactating dairy cows show rapid performance responses to small (<20% NEL) changes in dietary composition, which may be leveraged within automated precision feeding systems to optimize efficiency of production. Before this potential can be realized, further research is needed to examine integration of such strategies into automatic feeding systems and downstream impacts on individual animal FE and farm profitability.

Highlights

  • Precision dairy feeding systems may have the ability to optimize individual cow feed efficiency (FE) and milk yield (MY), while decreasing labor expenses [1]. These precision feeding systems may be automated for efficiency of on-farm labor and be individualized to feed each cow a unique supplement

  • Composition of each feed ingredient was as expected with the notable exception of corn grain (CG)

  • It appears that the CG fed in this experiment was likely contaminated with a higher protein ingredient

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Summary

Introduction

Precision dairy feeding systems may have the ability to optimize individual cow feed efficiency (FE) and milk yield (MY), while decreasing labor expenses [1]. These precision feeding systems may be automated for efficiency of on-farm labor and be individualized to feed each cow a unique supplement This approach to individualized feeding has the opportunity to maximize each cow’s FE, MY, and milk components of interest based on the unique genetic merit of individual animals. It is commonplace for dairy farmers to collect multiple forms of data on individual cows daily [2]. The various information many dairy farmers already collect could be utilized in advanced algorithms to maximize FE and production Through these automated, individualized, and data-based feeding approaches, precision feeding technologies may allow a beneficial opportunity to tailor dietary supplements to individual cows more precisely. We lack data to quantify this potential benefit and to define appropriate and necessary decision-making algorithms

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