The effect of wind shielding and pen position on the average daily weight gain and feed conversion rate of grower/finisher pigs

Jensen, Dan Børge; Toft, Nils; Cornou, Cécile

doi:10.1016/j.livsci.2014.06.028

Cited by 5 publications

(4 citation statements)

References 12 publications

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“…Duroc pigs showed greater improvements in growth rates compared to Yorkshire or Danish Landrace pigs. Heavier pigs (weight ≥29 kg) performed better in unshielded pens [51].…”

Section: Exposure To Climatic Elementsmentioning

confidence: 96%

“…Low temperatures could cause hypothermia in pre-weaning and recently weaned piglets in pasture systems; thus, becoming a potential risk for their welfare [29,49,50]. Pigs managed under low temperatures grow slower and are more susceptible to diseases such as pneumonia caused by Mycoplasma hyopneumoniae [51]. Adult pigs tolerate low temperatures better than higher ones.…”

Section: Exposure To Climatic Elementsmentioning

confidence: 99%

“…Wind can influence the location of the pigs in the paddocks. Regardless of environmental temperature, pigs will avoid exposure to areas of high wind speed and their response to it will depend on seasons, breeds, and body weight [35,51]. Pigs that did not have access to wind protection during winter showed decreased growth rates.…”

Section: Exposure To Climatic Elementsmentioning

confidence: 99%

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Animal Welfare and Production Challenges Associated with Pasture Pig Systems: A Review

Pietrosemoli

Tang

2020

Agriculture

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A review of published literature was conducted to identify pasture pig production system features that pose risks to animal welfare, and to develop recommendations aimed at improving the wellbeing of the animals managed in those systems. Pasture pig production systems present specific challenges to animal welfare that are inherent to the nature of these systems where producers have little room to make improvements. However, these systems present other challenges that could be reduced with a carefully designed system, by adopting appropriate management strategies and by avoiding management practices that are likely to negatively affect animal wellbeing. In pasture pig production systems, exposure to extreme temperatures, potential contact with wildlife and pathogens (especially parasites), vulnerability to predators, risk of malnutrition, pre-weaning piglet mortality, complexity of processes for monitoring and treating sick animals, and for cleaning and disinfection of facilities and equipment are among the main threats to animal welfare.

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“…Duroc pigs showed greater improvements in growth rates compared to Yorkshire or Danish Landrace pigs. Heavier pigs (weight ≥29 kg) performed better in unshielded pens [51].…”

Section: Exposure To Climatic Elementsmentioning

confidence: 96%

Section: Exposure To Climatic Elementsmentioning

confidence: 99%

Section: Exposure To Climatic Elementsmentioning

confidence: 99%

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Animal Welfare and Production Challenges Associated with Pasture Pig Systems: A Review

Pietrosemoli

Tang

2020

Agriculture

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“…Sensors 2023, 23, x FOR PEER REVIEW 2 of 23 these objectives, pig weight stands out as one of the most influential factors in pig production and pork quality. It provides essential information on feed conversion rate, growth rate, disease, development uniformity, and the health status of pig herds [7][8][9][10]. Presently, the traditional manual pig driving weighing method involves direct contact weighing on a scale.…”

Section: Introductionmentioning

confidence: 99%

Body Weight Estimation for Pigs Based on 3D Hybrid Filter and Convolutional Neural Network

Liu,

Hua,

Xue

et al. 2023

Sensors

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The measurement of pig weight holds significant importance for producers as it plays a crucial role in managing pig growth, health, and marketing, thereby facilitating informed decisions regarding scientific feeding practices. On one hand, the conventional manual weighing approach is characterized by inefficiency and time consumption. On the other hand, it has the potential to induce heightened stress levels in pigs. This research introduces a hybrid 3D point cloud denoising approach for precise pig weight estimation. By integrating statistical filtering and DBSCAN clustering techniques, we mitigate weight estimation bias and overcome limitations in feature extraction. The convex hull technique refines the dataset to the pig’s back, while voxel down-sampling enhances real-time efficiency. Our model integrates pig back parameters with a convolutional neural network (CNN) for accurate weight estimation. Experimental analysis indicates that the mean absolute error (MAE), mean absolute percent error (MAPE), and root mean square error (RMSE) of the weight estimation model proposed in this research are 12.45 kg, 5.36%, and 12.91 kg, respectively. In contrast to the currently available weight estimation methods based on 2D and 3D techniques, the suggested approach offers the advantages of simplified equipment configuration and reduced data processing complexity. These benefits are achieved without compromising the accuracy of weight estimation. Consequently, the proposed method presents an effective monitoring solution for precise pig feeding management, leading to reduced human resource losses and improved welfare in pig breeding.

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A multivariate dynamic linear model for early warnings of diarrhea and pen fouling in slaughter pigs

Jensen

Toft

Kristensen

2017

Computers and Electronics in Agriculture

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The effect of wind shielding and pen position on the average daily weight gain and feed conversion rate of grower/finisher pigs

Cited by 5 publications

References 12 publications

Animal Welfare and Production Challenges Associated with Pasture Pig Systems: A Review

Animal Welfare and Production Challenges Associated with Pasture Pig Systems: A Review

Body Weight Estimation for Pigs Based on 3D Hybrid Filter and Convolutional Neural Network

A multivariate dynamic linear model for early warnings of diarrhea and pen fouling in slaughter pigs

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