Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Identifying differences in feed efficiency among group-fed cattle.

L O Tedeschi1, D G Fox, M J Baker

  • 1Department of Animal Science, Texas A&M University, College Station, 77843, USA. luis.tedeschi@tamu.edu

Journal of Animal Science
|February 16, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Characterization of failed milking events in a voluntary milking system.

Journal of dairy science·2026
Same author

The E3 ubiquitin ligase HUWE1 is required for KRAS-induced lung cancer.

Cell death & disease·2026
Same author

A multi-centre performance evaluation of a commercially developed liquid biopsy for the earlier detection of brain tumours.

ESMO open·2025
Same author

Computer vision algorithms to help decision-making in cattle production.

Animal frontiers : the review magazine of animal agriculture·2025
Same author

The PI3K-AKT-mTOR axis persists as a therapeutic dependency in KRAS<sup>G12D</sup>-driven non-small cell lung cancer.

Molecular cancer·2024
Same author

A system dynamics approach to model heat stress accumulation in dairy cows during a heatwave event.

Animal : an international journal of animal bioscience·2023
Same journal

Water intake and consumption behaviour of colony and privately-owned healthy domestic cats fed 100% dry, 50% dry and 50% wet, and 100% wet diets: A comparison of research and home environments.

Journal of animal science·2026
Same journal

Gestational Vitamin and Mineral Supplementation in F0 Beef Heifers: Impacts on F1 Heifer Nutrient Digestibility, Metabolic Balance, and F1 Dam and F2 Fetus Development.

Journal of animal science·2026
Same journal

A self-reinforcing transcriptional loop: ELF5 directly activates the STAT5B promoter to orchestrate milk protein synthesis in water buffalo.

Journal of animal science·2026
Same journal

Provision of porcine milk oligosaccharides to support the weaning transition in nursery pigs fed diets including bovine milk co-products.

Journal of animal science·2026
Same journal

The effects of feed intake and fiber type on apparent ileal and total tract digestibility and hindgut disappearance of energy and nutrients in growing pigs.

Journal of animal science·2026
Same journal

Effects of dietary octapeptin supplementation on growth performance, intestinal morphology, immune function, and serum metabolism of weaned piglets.

Journal of animal science·2026
See all related articles

The Cornell Value Discovery System (CVDS) accurately predicts feed efficiency in group-fed cattle, enabling better selection for economic and environmental sustainability. This system identifies feed conversion and feed efficiency ratios, crucial for improving the beef cattle industry.

Area of Science:

  • Animal Science
  • Agricultural Engineering
  • Genetics and Animal Breeding

Background:

  • Improving feed efficiency in beef cattle is vital for economic and environmental sustainability.
  • Progeny testing in group-fed commercial feedlots is the standard method for evaluating postweaning growth.
  • Accurate individual animal evaluation in group settings is challenging but necessary for effective selection.

Purpose of the Study:

  • To develop and validate the Cornell Value Discovery System (CVDS) for predicting individual feed efficiency in group-fed beef cattle.
  • To assess the CVDS's ability to predict key performance indicators such as growth rate, feed conversion, and feed efficiency.
  • To compare CVDS predictions with traditional measures like the feed:gain ratio and residual feed intake (RFI).

Main Methods:

Related Experiment Videos

  • The CVDS model utilizes observed body weight, average daily gain (ADG), body composition, breed type, environment, and diet to predict maintenance and gain requirements.
  • It calculates feed conversion (DMR:ADG) and feed efficiency (ADG:DMR) ratios for individual animals in group pens.
  • Validation involved comparing CVDS predictions against individually fed steer data (F:G ratio) and analyzing RFI in a subset of animals.

Main Results:

  • The CVDS-predicted DMR:ADG ratio explained 84% of the variation in the actual F:G ratio with minimal bias.
  • Predicted maintenance feed DM (FFM) showed a strong correlation with ADG, indicating a nonlinear dilution effect.
  • CVDS-predicted ADG:DMR and the Kleiber ratio demonstrated a significant logarithmic relationship (R² = 0.88); RFI was highly correlated with F:G (r = 0.71).

Conclusions:

  • The CVDS model effectively predicts individual feed efficiency indicators in group-fed cattle.
  • This system provides a practical tool for identifying superior animals for selection, enhancing the beef industry's sustainability.
  • CVDS predictions offer a reliable alternative to individual feeding for assessing feed conversion and efficiency.