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Zoometric measures and their utilization in prediction of live weight of local goats in southern México

Overview of attention for article published in SpringerPlus, November 2015
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Title
Zoometric measures and their utilization in prediction of live weight of local goats in southern México
Published in
SpringerPlus, November 2015
DOI 10.1186/s40064-015-1424-6
Pubmed ID
Authors

E. J. Dorantes-Coronado, Glafiro Torres-Hernández, O. Hernández-Mendo, R. Rojo-Rubio

Abstract

Objectives of this study were: (a) to compare live weight (LW) and zoometric measures (ZM) of local goats in two locations, (b) to fit the best regression equation for goat LW prediction using ZM. LW, body length (BL), trunk length (TL), withers height (WH), hearth girth (HG), rump width (RW), rump length (RL), head length (HL), head width (HW), and ear length (EL) were measured in 318 Local does in Amatepec and Tejupilco, State of Mexico. Statistical methods included student's "t" tests for comparison of means, and correlation, principal components (PC), and multiple linear regression analyses. To evaluate the goodness of fit for LW prediction models the R(2) value was used as a criterion. Differences (P ≤ 0.05) were found between does of Amatepec and Tejupilco in LW, BL, TL, HG, RL, HL, HW, and EL. In Amatepec, LW was correlated with HG, BL, and HW (P ≤ 0.01), whereas in Tejupilco LW was correlated with HG, BL, TL, and HW (P ≤ 0.01). From the Amatepec measures 5 PC were extracted, and which in a multiple regression analysis explained 83.3 % of the total variance, whereas from Tejupilco 4 PC were extracted, and which in a multiple regression analysis explained 82.4 % of the total variance. The best regression model to predict doe LW in Amatepec included TL, HG, RW, and HW, whereas for Tejupilco the best model included BL, HG, HW, and EL. It is concluded that: (1) Amatepec does surpass those of Tejupilco in LW and most ZM, (2) there are reliable ZM for predicting LW of local does in both locations, HG, and HW being common measures for both populations.

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Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 25%
Student > Doctoral Student 3 15%
Researcher 3 15%
Professor 2 10%
Student > Master 2 10%
Other 2 10%
Unknown 3 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 30%
Veterinary Science and Veterinary Medicine 3 15%
Psychology 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Environmental Science 1 5%
Other 2 10%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 November 2015.
All research outputs
#20,296,405
of 22,833,393 outputs
Outputs from SpringerPlus
#1,460
of 1,850 outputs
Outputs of similar age
#236,669
of 282,576 outputs
Outputs of similar age from SpringerPlus
#91
of 120 outputs
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