Pablo Pinedo

Associate Professor

Colorado State University

United States

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Dr. Pablo Pinedo is an Associate Professor at Colorado State University, USA. His research areas include reproductive physiology in dairy cattle, machine learning applications in agriculture, dairy cow health management, and nutritional strategies for improving lactation performance. Recent publications focus on the effects of environmental factors on dairy cow well-being and advanced methodologies for enhancing dairy farm management.

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SPAIN

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Albert De Vries

Professor

University of Florida

UNITED STATES

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Pablo Pinedo

Research Interests

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Articles (19)

Association between the lunar cycle and pregnancy at first artificial insemination of Holstein cows

Pregnancy risk in beef and dairy cows after supplementing semen with transforming growth factor beta-1 at the time of artificial insemination

Dynamics of automated body condition scores in grazing Holstein cows in a year-round calving system

Milk component ratios and their associations with energy balance indicators and serum calcium concentration in early-lactation spring-calving pasture-based dairy cows

Evaluating machine learning algorithms to predict lameness in dairy cattle

Effects of perinatal exposure to daily maximum THI and THI fluctuations on serum total proteins and health of preweaned Holstein heifers raised in a dry climate

Employee perception of precision technology use at the dairy farm

Update on Fatty Liver in Dairy Cattle with Major Emphasis on Epidemiological Patterns, Pathophysiology in Relationship to Abdominal Adiposity, and Early Diagnosis

Combined effect of purulent vaginal discharge and anovulation on pregnancy status in a large multi-state population of Holstein cows

Patterns of milking unit kick-off as a proxy for habituation to milking in primiparous cows

Early life behavior and disease dynamics of pair-housed Holstein heifer calves

Milk component ratios for monitoring of health during early lactation of Holstein cows

Invited Review: Applications of unsupervised machine learning in livestock behavior: Case studies in recovering unanticipated behavioral patterns from precision livestock farming data streams

Invited Review: Examples and opportunities for artificial intelligence (AI) in dairy farms*

Factors associated with the time and magnitude of the nadir body condition score in early lactation and its subsequent effects on fertility of Holstein cows

An Evaluation of the Supplementation of Rumen-Protected Lysine and Methionine on the Lactation Performance of Fall Parturition Grazing Holstein Cows in Southern Chile

Investigating functional relationships among health and fertility traits in dairy cows

Improving the Reliability of Scale-Free Image Morphometrics in Applications with Minimally Restrained Livestock Using Projective Geometry and Unsupervised Machine Learning

Association between body condition score fluctuations and pregnancy loss in Holstein cows

Collaborators (8)

John Bromfield

Guilherme J. M. Rosa

Diego Manriquez Alvarez

José Eduardo Santos

Klibs Galvao

Nikolay Bliznyuk

Ángel García

Albert De Vries

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