Evidence map›Paper›PMID 25358327›Full record

ArticleAsian-Australasian journal of animal sciences2014

The influence of feed energy density and a formulated additive on rumen and rectal temperature in hanwoo steers.

Sangbuem Cho, David Tinotenda Mbiriri, Kwanseob Shim, A-Leum Lee, Seong-Jin Oh, Jinho Yang, Chaehwa Ryu, Young-Hoon Kim, Kang-Seok Seo, Jung-Il Chae and 2 more

Open access · goldAbstract read
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Sangbuem ChoDepartment of Animal Science, Chonbuk National University, Jeonju 561-756, Korea ; Animal Resources Research Center, Konkuk University, Seoul 143-701, Korea .
David Tinotenda MbiririDepartment of Animal Science, Chonbuk National University, Jeonju 561-756, Korea.
Kwanseob ShimDepartment of Animal Biotechnology, Chonbuk National University, Jeonju 561-756, Korea .
A-Leum LeeDepartment of Animal Science, Chonbuk National University, Jeonju 561-756, Korea.
Seong-Jin OhDepartment of Animal Science, Chonbuk National University, Jeonju 561-756, Korea.
Jinho YangDepartment of Animal Science, Chonbuk National University, Jeonju 561-756, Korea.
Chaehwa RyuDepartment of Animal Science, Chonbuk National University, Jeonju 561-756, Korea.
Young-Hoon KimDepartment of Animal Science, Chonbuk National University, Jeonju 561-756, Korea.
Kang-Seok SeoDepartment of Animal Science and Technology, Sunchon National University, Suncheon 540-742, Korea .
Jung-Il ChaeDepartment of Dental Pharmacology, Chonbuk National University, Jeonju 561-756, Korea .
Young Kyoon OhAnimal Nutrition and Physiology Division, National Institute of Animal Science, RDA, Suwon 441-706, Korea .
Nag-Jin ChoiDepartment of Animal Science, Chonbuk National University, Jeonju 561-756, Korea.
Jeonbuk National University · KRSunchon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study investigated the optimum blending condition of protected fat, choline and yeast culture for lowering of rumen temperature. The Box Benken experimental design, a fractional factorial arrangement, and response surface methodology were employed. The optimum blending condition was determined using the rumen simulated in vitro fermentation. An additive formulated on the optimum condition contained 50% of protected fat, 25% of yeast culture, 5% of choline, 7% of organic zinc, 6.5% of cinnamon, and 6.5% of stevioside. The feed additive was supplemented at a rate of 0.1% of diet (orchard grass:concentrate, 3:7) and compared with a control which had no additive. The treatment resulted in lower volatile fatty acid (VFA) concentration and biogas than the control. To investigate the effect of the optimized additive and feed energy levels on rumen and rectal temperatures, four rumen cannulated Hanwoo (Korean native beef breed) steers were in a 4×4 Latin square design. Energy levels were varied to low and high by altering the ratio of forage to concentrate in diet: low energy (6:4) and high energy (4:6). The additive was added at a rate of 0.1% of the diet. The following parameters were measured; feed intake, rumen and rectal temperatures, ruminal pH and VFA concentration. This study was conducted in an environmentally controlled house with temperature set at 30°C and relative humidity levels of 70%. Steers were housed individually in raised crates to facilitate collection of urine and feces. The adaptation period was for 14 days, 2 days for sampling and 7 days for resting the animals. The additive significantly reduced both rumen (p<0.01) and rectal temperatures (p<0.001) without depressed feed intake. There were interactions (p<0.01) between energy level and additive on ruminal temperature. Neither additive nor energy level had an effect on total VFA concentration. The additive however, significantly increased (p<0.01) propionate and subsequently had lower acetate:propionate (A/P) ratios than non-additive supplementation. High concentrate diets had significantly lower pH. Interactions between energy and additive were observed (p<0.01) in ammonia nitrogen production. Supplementation of diets with the additive resulted in lower rumen and rectal temperatures, hence the additive showed promise in alleviating undesirable effects of heat stress in cattle.

Indexed as

Beef CattleFeed AdditiveHeat StressRectal TemperatureRumen Temperature

Identifiers

PMID25358327
PMCPMC4213712
OpenAlexW2111951758

What OpenQuestion holds

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Registered trials

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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.