PSII-19 A Satellite-Based Decision-Support Tool to Optimize Profitability and Environmental Stewardship of Cow-Calf Operations

• Published in: Journal of animal science 2023-11, Vol.101 (Supplement_3), p.481-481
• Main Authors: Adams, Jordan M, Fernandes Jr, Jalme, Fernandes, Marcia, Reis, Ricardo, Tedeschi, Luis O
• Format: Article
• Language: English
• Subjects: Algorithms; Biomass; Calves; Cattle; Climate change; Computers; Cow's milk; Data collection; Decision support systems; Dry matter; Economics; Emissions; Energy requirements; Environmental impact; Environmental stewardship; Forage; Greenhouse gases; Intergovernmental Panel on Climate Change; Milk; Nutrient requirements; Nutrition; Nutritive value; Operations management; Optimization; Pasture; Profitability; Research facilities; Ruminant nutrition; Satellite imagery; Weaning; Weight
• ISSN: 0021-8812; 1525-3163
• DOI: 10.1093/jas/skad281.571

Abstract Management strategies implemented in cow-calf operations are essential to capitalize on heavier feeder calves, but field data collection can restrict their practical application. A computer program to optimize weaning weight, profitability, and environmental sustainability of grazing cow-calf operations was developed by combining an existing mechanistic nutrition model with pasture biomass estimated using satellite images. Data from the Texas A&M University McGregor Research Center was used as a testbed for the computer model. Pasture forage data from 2016 to 2022 was collected via satellite imagery, and the predicted pasture biomass was adjusted based on third-party algorithms (Sigfarm Intelligence LLC). Nutrient requirements were estimated using the Ruminant Nutrition System (RNS), and a constant pasture nutritive value was obtained. The potential dry matter intake (DMI) was estimated from the initial herd size (input). Actual average weaning weight was used to predict cow milk yield and total metabolizable energy requirements, which was used to estimate the required DMI (DMR). The actual forage allowance was correlated to DMR, and we simulated the forage allowance to support increased DMI and, consequently, increased milk yield to achieve a targeted average weaning weight. Based on Intergovernmental Panel on Climate Change (IPCC) methodology, environmental impact was evaluated from greenhouse gas emission estimates. Our simulations demonstrated that increasing the target weaning weight of a smaller herd with fewer mature cows (757 cows) would produce heavier calves, resulting in a 6% decrease in calf gain per pasture area. Nevertheless, the net income increased in scenarios with heavier weaned calves. The enhanced productivity with heavier weaned calves and fewer cows resulted in a lower carbon emission per kg of produced weaned calves. Based on our simulation, a herd size between 757 and 812 mature cows yielding calves weaned between 280 and 300 kg would be an optimal management strategy for the studied operation. This computer model provides the fundamental framework for a decision-support tool for producers to optimize their cow-calf operations while producing ideal weaned calves for feedlot operations.