Camel breed morphometrics: current methods and possibilities

Alhajeri, Bader H.; Alhaddad, Hasan; Alaqeely, Randa; AlAskar, Huda; Dashti, Zainab; Maraqa, Tasneem

doi:10.1080/03721426.2021.1889347

Cited by 7 publications

(4 citation statements)

References 43 publications

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“…Variables in the first block were chosen because of the implications of overall body condition [39] and body size on the determination of camel intraherd hierarchy [24,40]. The second block was considered because of the implication of phaneroptics with behavioral traits [41].…”

Section: Ordinal Logistic Regressionmentioning

confidence: 99%

The Youngest, the Heaviest and/or the Darkest? Selection Potentialities and Determinants of Leadership in Canarian Dromedary Camels

Pastrana

González

Ciani

et al. 2021

Animals

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Several idiosyncratic and genetically correlated traits are known to extensively influence leadership in both domestic and wild species. For minor livestock such as camels, however, this type of behavior remains loosely defined and approached only for sex-mixed herds. The interest in knowing those animal-dependent variables that make an individual more likely to emerge as a leader in a single-sex camel herd has its basis in the sex-separated breeding of Canarian dromedary camels for utilitarian purposes. By means of an ordinal logistic regression, it was found that younger, gelded animals may perform better when eliciting the joining of mates, assuming that they were castrated just before reaching sexual maturity and once they were initiated in the pertinent domestication protocol for their lifetime functionality. The higher the body weight, the significantly (p < 0.05) higher the score in the hierarchical rank when leading group movements, although this relationship appeared to be inverse for the other considered zoometric indexes. Camels with darker and substantially depigmented coats were also significantly (p < 0.05) found to be the main initiators. Routine intraherd management and leisure tourism will be thus improved in efficiency and security through the identification and selection of the best leader camels.

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Section: Ordinal Logistic Regressionmentioning

confidence: 99%

The Youngest, the Heaviest and/or the Darkest? Selection Potentialities and Determinants of Leadership in Canarian Dromedary Camels

Pastrana

González

Ciani

et al. 2021

Animals

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“…In addition, they are increasingly being implemented for animal research and health diagnosis and production management. That said, collecting this information is not always easy and requires heavy investigation, especially for wild animals (e.g., feral camels) or those that live in pastoral systems with permanently accessible grazing, like camels which lead to more challenges for standardizing classic measurement collection protocol (Alhajeri et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Among the emerging technologies is image analysis, which is obtained by photography, video processing, thermography or thermal image processing, 3D body scanners, mobile body scanning, etc. Imaging (2D) with the use of devices allowing the capture and analysis of shapes which enable mainly to carry out body measurements and access new indicators by geometric morphometric, such as functional morphological indexes, body condition evolution and shape variation of foot pads, with minimal direct contact with different animal categories (Al-Atiyat et al, 2016;Alhajeri et al, 2021). Some challenges arise when working with live camels and taking measurements related to skull bones, the uro-genital region, or when taking measurements in a crouch position close to the ground, which may frighten the animal, which may become restless and kicking or stepping on the worker.…”

Section: Introductionmentioning

confidence: 99%

“…Some challenges arise when working with live camels and taking measurements related to skull bones, the uro-genital region, or when taking measurements in a crouch position close to the ground, which may frighten the animal, which may become restless and kicking or stepping on the worker. The measurements close to the face, especially from males during rutting season, can expose them to bites (Yahaya et al, 2012;Ayadi et al, 2016;Gherissi et al, 2018;Alhajeri et al, 2021). Image analysis was also used to behavior monitoring, lameness and posture defectuosity diagnosis in other species (Viazzi et al, 2013;Kashiha et al, 2014;Zhao et al, 2015;Sénèque et al, 2019;Kang et al,2020).…”

Section: Introductionmentioning

confidence: 99%

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Accuracy of image analysis for linear zoometric measurements in dromedary camels

Gherissi

Lamraoui

Chacha

et al. 2022

Trop Anim Health Prod

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The present study consisted in verifying the effectiveness of the image analysis method for body measurement in dromedary camel compared to manual measurements as a reference method. To do this, twenty-one linear body measurements were estimated on 59 adult Sahraoui dromedary camels (22 males and 37 females) with normal clinical condition by the standard method using a measuring stick or vernier caliper. Image analysis on pro le, front or behind photographs were processed using Axiovision Software. Overall; mean comparison, relative error, variance, Pearson's correlation coe cient and coe cient of variance showed that the image analysis method is accurate in relation to the manual measurement. Furthermore, image analysis results indicated relevant accuracy (bias correction factor, Cb ≈1) and precision (Pearson ρ ≈ 1) which were signi cantly correlated with the results of the reference method (Lin's concordance correlation coe cients rccc ≈ 1). According to Blant Altman upper and lower limits of agreement, the concordance was estimated between 93.22 and 98.3%. Passing-Bablok regression showed good relationship between results of the two methods displaying no signi cant systematic and proportional bias. The image analysis method for linear body measurements in dromedary camel yielded results that are in agreement with the manual measuring method. This method is a valid tool for studies on camel conformation traits.

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