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Journal of equine veterinary science2021; 101; 103457; doi: 10.1016/j.jevs.2021.103457

Estimation of Liveweight from Body Measurements through Best Fitted Regression Model in Dezhou Donkey Breed.

Abstract: Dezhou donkey is an excellent local hide, meat and milk breed in Shandong Province. To accelerate the speed of breeding, reproduction and conversation, correlation and multiple regression analysis between body weight (BW) and body size of Dezhou donkey rearing under intensive farms was made by SAS 9.4 software (Statistical Analysis for Windows). A total of 162 donkeys of both gender of age 2 ~ 10 years old were used to investigate the relationships between BW and body dimensional traits (cm) including height of withers, body length; thoracic depth, thoracic girth (TG), thoracic width (TW), circumference of cannon bone (CB), height of rump, rump length (RL) and rump width (RW). The results showed that BW and body measurements have positive and great correlations with R value ranged from 0.58 to 0.88 (P <0.01). The R values from the single-parameter equations showed that the TG was highly related to BW (0.72, P < 0.01). The stepwise regression equations were applied to obtain the best prediction equations, and the results indicated that the prediction accuracy for BW was improved with the inclusion of more body measurement variables. The "best fit" models were: BW (kg) = 1.88 × TG + 1.27 × BL + 2.55 × TW + 4.61 × CB + 2.18 × RW + 1.78 × RL - 422.8 (R = 0.906, P < .01). The predicted BW from the present equations showed the nearest value to the real BW (R > 0.94, P < .01). In addition, the equations derived to predict the BW of donkeys in Britain, Morocco were less satisfactory for use with the present Dezhou donkey breed because they overestimated or underestimated the BW due to the different donkey breed.
Publication Date: 2021-03-26 PubMed ID: 33993924DOI: 10.1016/j.jevs.2021.103457Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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This research study focused on estimating the body weight of Dezhou donkey using body measurements and statistical analysis, also providing a more efficient model for use in the local breeding of this animal.

Objective of the Study

  • The main goal of this research was to establish a precise and reliable method for estimating the body weight of Dezhou donkeys using their body measurements, in order to improve and expedite breeding, reproduction, and conversation practices in Shandong Province, China.

Methodology and Sample

  • 162 Dezhou donkeys, both male and female, aged between 2 and 10 years, were used for this study. These donkeys were reared under intensive farms.
  • These donkeys were measured for various body dimensional traits such as height of withers, body length, thoracic depth, thoracic girth, thoracic width, circumference of cannon bone, height of rump, rump length, and rump width. These measures were taken in centimeters.
  • The team used SAS 9.4 software (Statistical Analysis for Windows) to conduct a correlation and multiple regression analysis between body weight and these measurements.

Results and Analysis

  • The research found significant positive correlations between body weight and the measurements taken, with R values ranging from 0.58 to 0.88 (P is less than 0.01), indicating a strong linkage. Among all measurements, thoracic girth exhibited the highest correlation with body weight (R value 0.72, P is less than 0.01).
  • Using stepwise regression equations, the researchers discovered that including more body measurement variables improved the prediction accuracy for body weight.
  • The most fitting prediction equation found was “BW (kg) = 1.88 × Thoracic Girth + 1.27 × Body Length + 2.55 × Thoracic Width + 4.61 × Circumference of Cannon Bone + 2.18 × Rump Width + 1.78 × Rump Length – 422.8”. This equation had a superb R value of 0.906 and was statistically significant (P is less than 0.01).
  • The research found that predicted body weight from their equations was very close to real body weight, indicating the efficacy of these equations.

Comparative Analysis

  • The equations used for predicting the body weight of donkeys in Britain and Morocco were found to be unsuitable for Dezhou donkeys, since they either overestimated or underestimated the body weights, emphasizing the unique characteristics of different donkey breeds.

Conclusion

  • The study provides a significantly reliable method to estimate the body weight of the Dezhou donkey breed using body measurements, which can be of great help in speeding up breeding and reproduction activities in the region.

Cite This Article

APA
Zhang Z, Zhan Y, Han Y, Liu Z, Wang Y, Wang C. (2021). Estimation of Liveweight from Body Measurements through Best Fitted Regression Model in Dezhou Donkey Breed. J Equine Vet Sci, 101, 103457. https://doi.org/10.1016/j.jevs.2021.103457

Publication

ISSN: 0737-0806
NlmUniqueID: 8216840
Country: United States
Language: English
Volume: 101
Pages: 103457
PII: S0737-0806(21)00087-3

Researcher Affiliations

Zhang, Zhenwei
  • Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, 252059, China.
Zhan, Yandong
  • Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, 252059, China.
Han, Ying
  • Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, 252059, China.
Liu, Ziwen
  • Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, 252059, China.
Wang, Yonghui
  • Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, 252059, China.
Wang, Changfa
  • Liaocheng Research Institute of Donkey High-Efficiency Breeding and Ecological Feeding, Liaocheng University, Liaocheng, 252059, China. Electronic address: wangcf1967@163.com.

MeSH Terms

  • Animals
  • Body Size
  • Body Weight
  • Equidae
  • Morocco
  • Regression Analysis

Citations

This article has been cited 6 times.
  1. Wang X, Wang T, Liang H, Wang L, Akhtar F, Shi X, Ren W, Huang B, Kou X, Chen Y, Zhan Y, Wang C. A novel SNP in NKX1-2 gene is associated with carcass traits in Dezhou donkey.. BMC Genom Data 2023 Aug 7;24(1):41.
    doi: 10.1186/s12863-023-01145-2pubmed: 37550632google scholar: lookup
  2. Zhang Z, Huang B, Wang Y, Zhu M, Liu G, Wang C. A survey report on the donkey original breeding farms in China: Current aspects and future prospective.. Front Vet Sci 2023;10:1126138.
    doi: 10.3389/fvets.2023.1126138pubmed: 37008357google scholar: lookup
  3. Liu Z, Wang T, Shi X, Wang X, Ren W, Huang B, Wang C. Identification of LTBP2 gene polymorphisms and their association with thoracolumbar vertebrae number, body size, and carcass traits in Dezhou donkeys.. Front Genet 2022;13:969959.
    doi: 10.3389/fgene.2022.969959pubmed: 36482906google scholar: lookup
  4. Shi X, Li Y, Wang T, Ren W, Huang B, Wang X, Liu Z, Liang H, Kou X, Chen Y, Wang Y, Akhtar F, Wang C. Association of HOXC8 Genetic Polymorphisms with Multi-Vertebral Number and Carcass Weight in Dezhou Donkey.. Genes (Basel) 2022 Nov 21;13(11).
    doi: 10.3390/genes13112175pubmed: 36421849google scholar: lookup
  5. Zhang Z, Huang B, Wang Y, Zhan Y, Zhu M, Wang C. Dynamic alterations in the donkey fecal bacteria community and metabolome characteristics during gestation.. Front Microbiol 2022;13:927561.
    doi: 10.3389/fmicb.2022.927561pubmed: 36060774google scholar: lookup
  6. Liu Z, Gao Q, Wang T, Chai W, Zhan Y, Akhtar F, Zhang Z, Li Y, Shi X, Wang C. Multi-Thoracolumbar Variations and NR6A1 Gene Polymorphisms Potentially Associated with Body Size and Carcass Traits of Dezhou Donkey.. Animals (Basel) 2022 May 25;12(11).
    doi: 10.3390/ani12111349pubmed: 35681814google scholar: lookup