Evidence map›Paper›PMID 35952719›Full record

ArticleJournal of animal science2022

Effects of diet on feed intake, weight change, and gas emissions in beef cows.

Amanda L Holder, Megan A Gross, Alexandra N Moehlenpah, Carla L Goad, Megan Rolf, Ryon S Walker, James K Rogers, David L Lalman

Open access · greenAbstract readRandomized Controlled Trial, Veterinary
In one paragraph

Article in Journal of animal science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Predicting feed intake in confined beef cows.Translational animal science · 2024
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Amanda L HolderDepartment of Animal and Food Science, Oklahoma State University, Stillwater, OK 74078, USA.
Megan A GrossDepartment of Animal and Food Science, Oklahoma State University, Stillwater, OK 74078, USA.
Alexandra N MoehlenpahDepartment of Animal and Food Science, Oklahoma State University, Stillwater, OK 74078, USA.
Carla L GoadDepartment of Statistics, Oklahoma State University, Stillwater, OK 74078, USA.
Megan RolfDepartment of Animal Sciences and Industry, Kansas State University, Manhattan, KS 66506, USA.ORCID 0000-0002-4774-2218
Ryon S WalkerNoble Research Institute, Ardmore, OK 73401, USA.ORCID 0000-0001-8001-1938
James K RogersNoble Research Institute, Ardmore, OK 73401, USA.
David L LalmanDepartment of Animal and Food Science, Oklahoma State University, Stillwater, OK 74078, USA.ORCID 0000-0002-1739-6238
Oklahoma State University · USNoble Research Institute · USKansas State University · US

Funding

Dr. Kenneth and Caroline Eng FoundationOklahoma Agricultural Experiment Station OKL03082
6 · The paper itself

Abstract

The objective of this study was to examine the effects of diet energy density on ranking for dry matter intake (DMI), residual feed intake (RFI), and greenhouse gas emissions. Forty-two mature, gestating Angus cows (600 ± 69 kg body weight [BW]; body condition score [BCS] 5.3 ± 1.1) with a wide range in DMI expected progeny difference (-1.38 to 2.91) were randomly assigned to two diet sequences; forage then concentrate (FC) or concentrate then forage (CF). The forage diet consisted of long-stem native grass hay plus protein supplement (HAY; 1.96 Mcal ME/kg DM). The concentrate diet consisted of 35% chopped grass hay and 65% concentrate feeds on a dry matter basis (MIX; 2.5 Mcal ME/kg DM). The GreenFeed Emission Monitoring system was used to determine carbon dioxide (CO2), oxygen (O2), and methane (CH4) flux. Cow performance traits, ultrasound back fat and rump fat, feed DMI, and gas flux data were analyzed in a crossover design using a mixed model including diet, period, and sequence as fixed effects and pen and cow within sequence as random effects. For all measured traits excluding DMI, there was a diet × sequence interaction (P < 0.05). The correlation between MIX and HAY DMI was 0.41 (P = 0.067) and 0.47 (P = 0.03) for FC and CF sequences, respectively. There was no relationship (P > 0.66) between HAY and MIX average daily gain (ADG), regardless of sequence. Fifty-seven percent of the variation in DMI was explained by metabolic BW, ADG, and BCS for both diets during the first period. During the second period, the same three explanatory variables accounted for 38% and 37% of the variation in DMI for MIX and HAY diets, respectively. The negative relationship between BCS and DMI was more pronounced when cows consumed the MIX diet. There was no relationship between MIX and HAY RFI, regardless of sequence (P > 0.18). During the first period, correlations for CO2, CH4, and O2 with MIX DMI were 0.69, 0.81, and 0.56 (P ≤ 0.015), respectively, and 0.76, 0.74, and 0.64 (P < 0.01) with HAY DMI. During the second period, correlations for CO2, CH4, and O2 with MIX DMI were 0.62, 0.47, and 0.56 (P ≤ 0.11), respectively. However, HAY DMI during the second period was not related to gas flux (P > 0.47). Results from this experiment indicate that feed intake of two energy-diverse diets is moderately correlated while ADG while consuming the two diets is not related. Further experimentation is necessary to determine if gas flux data can be used to predict feed intake in beef cows.

Indexed as

Carbon DioxideGreenhouse GasesAnimal FeedAnimalsBody WeightCattleDietEatingFemaleMethaneOxygenCarbon DioxideGreenhouse GasesMethaneOxygenbeef cowsdry matter intakegreenhouse gas emissions

Identifiers

PMID35952719
PMCPMC9527298
OpenAlexW4291011195

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.