Live body weight estimation using cannon bone length and other body linear measurements in Nigerian breeds of sheep

Mahmud, Muhammad Abdullahi; Shaba, Peter; Abdulsalam, Wosilat; Yisa, Helen Yarubi; Gana, James; Ndagi, Silas; Ndagimba, Ruth

doi:10.5455/javar.2014.a29

Cited by 21 publications

(21 citation statements)

References 13 publications

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“…This finding was also a good example to show the importance of the correct selection of techniques to reveal the relationship between variables. The final model revealed that the highest total effect to the live weight was chest width and chest depth which is inconsistent with the previous studies (4,15,28,33).…”

Section: Discussioncontrasting

confidence: 99%

“…Topal et al (28) also established a multiple regression model for Awasi breed in which there is no significant effect of these three variables in a similar manner. However, many previous studies with different breeds showed a significant direct effect of these three variables and these variables were included in their models (5,15,27). Using the advantage of structural equation modeling technique, it was revealed that these variables had no significant direct but indirect effects on live weight.…”

Section: Discussionmentioning

confidence: 99%

“…Many studies showed the close relationship between live weight and various body measurements and also reported on the use of various body measurements of animals to determine live body weight of cattle (1,10,21), sheep (2,9,14,15,24,29) goat (16,18) and pig (30). However, most of these authors deal with these linear measurements using correlation coefficients and multiple regression methods.…”

Section: Introductionmentioning

confidence: 99%

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İvesi koyunlarında bazı vücut ölçüleri yardımıyla canlı ağırlığın tahmin edilmesinde kullanılabilecek rekursif bir path modeli

Özen¹,

Kocakaya²,

Ünal³

et al. 2019

Ankara Üniversitesi Veteriner Fakültesi Dergisi

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Aim of this study was to investigate direct, indirect and total effects of body measurements on live weight in Awassi sheep and to derive prediction equations for estimation of the live weight. Live weight, head length, body length, withers height, chest depth, chest width and rump height measurements of 270 Awassi sheep at the age of 2-4 years raised at a private farm in Eskişehir Province, Turkey was used. A recursive path model was established to estimate the live weight of the Awassi sheep using these body measurements. Results showed that there was a significant indirect effect of withers height, rump height and body length and significant direct effect of chest depth, chest width and head length on live weight. The strongest predictor of live weight was chest depth, followed by chest width and head length. In conclusion, the equations given in this study could serve as a practical tool to predict the live weight of Awassi sheep. İvesi koyunlarda bazı vücut ölçüleri yardımıyla canlı ağırlığın tahmin edilmesinde kullanılabilecek rekursif bir path modeliÖzet: Bu çalışmanın amacı, İvesi ırkı koyunlarda çeşitli vücut ölçülerininin canlı ağırlık üzerine doğrudan, dolaylı ve toplam etkilerini incelemek ve bu ölçülerden yararlanarak canlı ağırlığı tahmin edecek bir model oluşturmaktır. Bu amaçla, Eskişehir ilinde özel bir çiftlikte yetiştirilen 2-4 yaşlarındaki toplam 270 İvesi ırkı koyunun canlı ağırlığı, baş uzunluğu, gövde uzunluğu, cidago yüksekliği, göğüs derinliği, göğüs genişliği ve sağrı yüksekliği ölçümleri elde edilmiştir. Bu ölçümler yardımıyla canlı ağırlığı tahmin etmek için rekursif bir path modeli oluşturulmuştur. Elde edilen sonuçlar, cidago yüksekliği, sağrı yüksekliği ve vücut uzunluğunun vücut ağırlığına dolaylı; göğüs genişliği, göğüs derinliği ve baş uzunluğunun ise doğrudan etkisinin olduğunu göstermiştir. Canlı ağırlığın en güçlü belirleyicisi göğüs derinliği, ardından göğüs genişliği ve baş uzunluğu olarak belirlenmiştir. Sonuç olarak, bu çalışmada verilen denklemlerin, İvesi koyunlarının canlı ağırlığını tahmin etmek için pratik bir araç olarak kullanılabileceği ortaya konmuştur. Anahtar sözcükler: Canlı ağırlık, İvesi koyunu, path analizi, yapısal eşitlik modeli.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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İvesi koyunlarında bazı vücut ölçüleri yardımıyla canlı ağırlığın tahmin edilmesinde kullanılabilecek rekursif bir path modeli

Özen¹,

Kocakaya²,

Ünal³

et al. 2019

Ankara Üniversitesi Veteriner Fakültesi Dergisi

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show abstract

“…For each yak, the parameters should be measured for three times and an average value was worked out and used as its parameter. In this way, errors in body dimensions and weight can be prevented [25]. Moreover, a Biltmore stick was selected to measure standing height, body length, chest depth and hipcross height of the yaks; and, they were Annual precipitation and annual average temperature there are about 520mm and 0 • C respectively.…”

Section: Body Dimension and Weight Measuring Methodsmentioning

confidence: 99%

Body Weight Estimation of Yak Based on Cloud Edge Computing

Zhang

Sun

Zhang

et al. 2020

Preprint

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In stock farming, the body size parameters and weight of yaks can reasonably reﬂect the growth and development characteristics, production performance and genetic characteristics of yaks. However, it is diﬃcult for herders to measure the body size and weight of yaks by traditional manual methods. Fortunately, with the development of edge computing, herders can use mobile devices to estimate the yak’s body size and weight. The purpose of this paper is to provide a machine vision-based yak weight estimation method for the edge equipment and establish a yak estimation comprehensive display system based on the user’s use of the edge equipment in order to maximize the convenience of herdsmen’s work. In our method, a set of yak image foreground extraction and measurement point recognition algorithm suitable for edge equipment were developed to obtain yak’s measurement point recognition image, and the ratio between body sizes was transmitted to the cloud server. Then, the body size and weight of yaks were estimated using the data mining method, and the body size estimation data were constantly displayed in the yak estimation comprehensive display system. 25 yaks in different age groups were randomly selected from the herd to perform experiments. The experimental results show that the foreground extraction method can obtain segmentation image with good boundary, and the yak measurement point recognition algorithm has good accuracy and stability. The average error between the estimated values and the actual measured values of body height, oblique length, chest depth, cross height and body weight is 1.95%, 3.11%, 4.91%, 3.35% and 7.79%, respectively. Compared with the traditional manual measurement method, the use of mobile end to estimate the body size and weight of yaks can improve the measurement eﬃciency, facilitate the herdsmen to breed yaks, reduce the stimulation of manual measurement on yaks, and lay a solid foundation for the ﬁne breeding of yaks in Sanjiangyuan region.

show abstract

“…For each yak, the parameters should be measured for three times and an average value was worked out and used as its parameter. In this way, errors in body dimensions and weight can be prevented [16]. Moreover, a Biltmore stick was selected to measure standing height, body length, chest depth and hipcross height of the yaks; and, they were weighed by an electronic scale manufactured in Shanghai Yaohua.…”

Section: Body Dimension and Weight Measuring Methodsmentioning

confidence: 99%

Machine Vision-enabled Yak Weight Estimation on Edge Devices

Sun

Zhang

et al. 2020

Preprint

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In the field of stock farming, body dimensions and weight of a yak may reasonably reveal its growing characters, productivity and genetic characteristics. However, it is arduous for the herdsman to manually measure the body and dimension of yaks. Fortunately, with the development of mobile computing and edge devices, it is preferable and possible for the herdsman to estimate the yaks weight and size with handheld devices (e.g., mobile phones). This paper aims at providing machine visual-based yak body height and weight estimate method for edge devices. In our method, to begin with a foreground image of the yak is extracted; and measuring point identification is carried out to identify measuring points of the yak. Then, a ratio of its body dimensions is acquired. Both body dimensions and weight of the yak are acquired through comparison with relevant data. 25 yaks in different age groups were randomly selected from a herd to perform experiments. As indicated by corresponding experimental results, the foreground extraction approach has the potential to generate split images with good boundaries. As for the measuring point identification method selected for the yak, it features preferable accuracy and stability. For example, estimated values of its standing height, body length, chest depth, hipcross height and body weight, average errors between the measured values and them are proven to be 1.95%, 3.11%, 4.91%,3.35% and 7.79% respectively. By contrast to the traditional measuring approaches, the proposed method may improve measurement efficiency and reduce stimulation caused by manual measurement to the yak.

show abstract

Live body weight estimation using cannon bone length and other body linear measurements in Nigerian breeds of sheep

Cited by 21 publications

References 13 publications

İvesi koyunlarında bazı vücut ölçüleri yardımıyla canlı ağırlığın tahmin edilmesinde kullanılabilecek rekursif bir path modeli

İvesi koyunlarında bazı vücut ölçüleri yardımıyla canlı ağırlığın tahmin edilmesinde kullanılabilecek rekursif bir path modeli

Body Weight Estimation of Yak Based on Cloud Edge Computing

Machine Vision-enabled Yak Weight Estimation on Edge Devices

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