| Title |
Systematic analysis of feeding behaviors and their effects on feed efficiency in Pekin ducks
|
|---|---|
| Published in |
Journal of Animal Science and Biotechnology, November 2017
|
| DOI | 10.1186/s40104-017-0212-2 |
| Pubmed ID | |
| Authors |
Feng Zhu, Yahui Gao, Fangbin Lin, Jinping Hao, Fangxi Yang, Zhuocheng Hou |
| Abstract |
Feeding behavior study is important for animal husbandry and production. However, few studies were conducted on the feeding behavior and their relationship with feeding efficiency in Pekin ducks. In order to investigate the feeding behavior and their relationship with feed efficiency and other economic traits in Pekin ducks, we selected 358 male Pekin ducks and recorded feeding information between 3 to 6 wk of age using automatic electronic feeders, and compared the feeding behavior under different residual feed intake (RFI) levels. We observed that total feed time, daily feed intake and feed intake per meal had strong positive correlations with feed efficiency traits; moreover, strong correlation between feed intake per meal and body weight was found (R=0.32, 0.36). Daily feeding rate meal and meal duration had weak correlations with feed efficiency (R=0.14~0.15). The phenotypic correlation of between-meal pauses, with feed efficiency was not observed. When daily changes were analyzed, high RFI ducks had the highest feed consumption over all times, and obvious differences in daily visits were found among different RFI level animals during the middle period; these differences were magnified with age, but there was no difference in daily meal number. Moreover, our data indicate that high RFI birds mainly take their meals at the edge of the population enclosure, where they are more susceptible to environmental interference. Overall, this study suggests that the general feeding behaviors can be accurately measured using automatic electronic feeders and certain feeding behaviors in Pekin ducks are associated with improved feed efficiency. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Student > Bachelor | 4 | 14% |
| Student > Doctoral Student | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Librarian | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 9 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 43% |
| Medicine and Dentistry | 3 | 11% |
| Veterinary Science and Veterinary Medicine | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 8 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 December 2017.
All research outputs
#16,051,091
of 25,382,440 outputs
Outputs from Journal of Animal Science and Biotechnology
#307
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Outputs of similar age
#193,886
of 340,752 outputs
Outputs of similar age from Journal of Animal Science and Biotechnology
#3
of 10 outputs
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