Estimating body mass of wild pigs (<i>Sus scrofa</i>) using body morphometrics

Baruzzi, Carolina; Snow, Nathan P.; VerCauteren, Kurt C.; Strickland, Bronson K.; Arnoult, Jacques S.; Fischer, Justin W.; Glow, Michael P.; Lavelle, Michael J.; Smith, Benjamin; Steakley, Daryl; Lashley, Marcus A.

doi:10.1002/ece3.9853

Cited by 2 publications

(1 citation statement)

References 51 publications

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“…The morphometric measurements observed are hip height and width, rump length, ankle circumference, body length, shoulder height, chest width, and depth, as well as head index measurements such as the length and width. There are few studies on body morphometrics and head index of pigs (Panda et al, 2021;Prheeti et al, 2023;Baruzzi et al, 2023), however, to our knowledge such type of data is missing for Bali pig breed. This study aims to determine the morphometric characteristics and head index of Bali pigs using a Principal Component Analysis (PCA) approach to identify the phenotypic characteristics of Bali pigs.…”

Section: Identification Of Bali Pigs Using Body Morphometric and Head...mentioning

confidence: 97%

Identification of Bali Pigs Using Body Morphometric and Head Index by Applying Principal Component Analysis (PCA) Approach

Heryani¹,

Setiasih²,

Susari³

et al. 2022

JAHP

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Bali pig is an important livestock for meeting the meat needs of the community, especially in the Province of Bali, Indonesia. The characteristics of this animal include a slightly rough black fur, a long snout, curved back, and their stomach does not touch the ground when standing. This study aims to determine the morphometric characteristics and head index of Bali pigs using a Principal Component Analysis (PCA) approach to easily identify the phenotypic characteristics. The samples include 50 Bali pigs that are intensively reared in Musi Village, Gerogak District, Buleleng Regency, Bali Province, Indonesia. The measurement data were analyzed using PCA to reduce and interpret the measured variables. The results showed that the average hip height and width, rump length, body length, shoulder height, chest width and depth, head width and length were 55.68cm, 17.53cm, 10.62cm, 67.40cm, 54.92cm, 17.81cm, 41.24cm, 10.63cm, and 26.26cm, respectively. Furthermore, the result of measuring the index of the female and male heads was 40.76% and 39.41%. The results showed that Principal Component 1 (KU1) and 2 (KU2) had a variance of 5.834 and 1.834, respectively, while the percentage of variance was 58.338% and 18.340%, with a total value of 76.678%. The hip width, shoulder height, and chest width were significantly different (p<0.05) between male and female Bali pigs. In addition, the main characteristics of size for this specie include hip height, rump length, body length, shoulder height, chest width, and head width and length, while that of the shape include chest and hip-width

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Section: Identification Of Bali Pigs Using Body Morphometric and Head...mentioning

confidence: 97%

Identification of Bali Pigs Using Body Morphometric and Head Index by Applying Principal Component Analysis (PCA) Approach

Heryani¹,

Setiasih²,

Susari³

et al. 2022

JAHP

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Approaching a population‐level assessment of body size in pinnipeds using drones, an early warning of environmental degradation

Carroll,

Infantes,

Pagan

et al. 2024

Remote Sens Ecol Conserv

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Body mass is a fundamental indicator of animal health closely linked to survival and reproductive success. Systematic assessment of body mass for a large proportion of a population can allow early detection of changes likely to impact population growth, facilitating responsive management and a mechanistic understanding of ecological trends. One challenge with integrating body mass assessment into monitoring is sampling enough animals to detect trends and account for individual variation. Harbour seals (Phoca vitulina) are philopatric marine mammals responsive to regional environmental changes, resulting in their use as an indicator species. We present a novel method for the non‐invasive and semi‐automatic assessment of harbour seal body condition, using unoccupied aerial vehicles (UAVs/drones). Morphological parameters are automatically measured in georeferenced images and used to estimate volume, which is then translated to estimated mass. Remote observations of known individuals are utilized to calibrate the method. We achieve a high level of accuracy (mean absolute error of 4.5 kg or 10.5% for all seals and 3.2 kg or 12.7% for pups‐of‐the‐year). We systematically apply the method to wild seals during the Spring pupping season and Autumn over 2 years, achieving a near‐population‐level assessment for pups on land (82.5% measured). With reference to previous mark‐recapture work linking Autumn pup weights to survival, we estimate mean expected probability of over‐winter survival (mean = 0.89, standard deviation = 0.08). This work marks a significant step forward for the non‐invasive assessment of body condition in pinnipeds and could provide daily estimates of body mass for thousands of individuals. It can act as an early warning for deteriorating environmental conditions and be utilized as an integrative tool for wildlife monitoring. It also enables estimation of yearly variation in demographic rates which can be utilized in parameterizing models of population growth with relevance for conservation and evolutionary biology.

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Estimating body mass of wild pigs (Sus scrofa) using body morphometrics

Cited by 2 publications

References 51 publications

Identification of Bali Pigs Using Body Morphometric and Head Index by Applying Principal Component Analysis (PCA) Approach

Identification of Bali Pigs Using Body Morphometric and Head Index by Applying Principal Component Analysis (PCA) Approach

Approaching a population‐level assessment of body size in pinnipeds using drones, an early warning of environmental degradation

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