Genetic analyses of metabolic body weight, carcass weight and body conformation traits in Nordic dairy cattle

Mehtiö, Terhi; Pitkänen, Timo; Leino, A.-M.; Mäntysaari, Esa; Kempe, Riitta; Negussie, Enyew; Lidauer, Martin

doi:10.1016/j.animal.2021.100398

Cited by 11 publications

(8 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(1998) for carcass weight and slaughter age, with carcass weight being highest between 5 and 7 years of age (306.6 kg). The relation between age and carcass weight was also described by others ( Arendonk, Stokvisch, Korver, & Oldenbroek, 1984 ; Mehtiö et al., 2021 ; Veldhuis et al., 2021 ). By 2019, all herds were reduced and relative young stock numbers were low, resulting in fewer selection possibilities to CDC to be sent for slaughter.…”

Section: Discussionsupporting

confidence: 72%

“…In 2019 and 2020, there was fewer young stock, so cows were kept longer to maintain farm level milk production leading to a shift towards more late lactation culling of cows. As shown by ( Mehtiö et al., 2021 ), carcass weight drops in first month of lactation to increase from 2 nd month of lactation and onwards with similar results for 1 st to 5 th parity.…”

Section: Discussionsupporting

confidence: 68%

“…Recent studies on CDC showed live weights (LW) around 640 kg and carcass weights ranging between 248 and 407 kg with most weights around 300 (S.D. = 35) kilograms ( Seegers et al., 1998 ; Berry et al., 2021 ; Mehtiö et al., 2021 ; Moreira et al., 2021a ; b). Our study showed similar outcomes for carcass weight with a mean of 295 kg (S.D.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Associations of carcass weight and trimming loss with cull dairy cow health observations collected at slaughter.

Vlemminx

Bouwknegt

Urlings

et al. 2023

Veterinary and Animal Science

View full text Add to dashboard Cite

Section: Discussionsupporting

confidence: 72%

Section: Discussionsupporting

confidence: 68%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Associations of carcass weight and trimming loss with cull dairy cow health observations collected at slaughter.

Vlemminx

Bouwknegt

Urlings

et al. 2023

Veterinary and Animal Science

View full text Add to dashboard Cite

“…It was common in livestock populations and significantly impacted meat production [ 5 , 6 ]. Carcass weight is considered one of the most valuable economic traits in livestock production [ 7 , 8 , 9 ]. To date, studies investigating the effects of multi-vertebral number and carcass weight at the genetic level have focused on animals such as pigs [ 10 , 11 ], cattle [ 12 , 13 ], and sheep [ 6 , 14 ], while fewer studies have been conducted on Dezhou donkeys.…”

Section: Introductionmentioning

confidence: 99%

Association of HOXC8 Genetic Polymorphisms with Multi-Vertebral Number and Carcass Weight in Dezhou Donkey

Shi

Wang

et al. 2022

Genes

View full text Add to dashboard Cite

An increase in the number of vertebrae can significantly affect the meat production performance of livestock, thus increasing carcass weight, which is of great importance for livestock production. The homeobox gene C8 (HOXC8) has been identified as an essential candidate gene for regulating vertebral development. However, it has not been researched on the Dezhou donkey. This study aimed to verify the Dezhou donkey HOXC8 gene’s polymorphisms and assess their effects on multiple vertebral numbers and carcass weight. In this study, the entire HOXC8 gene of the Dezhou donkey was sequenced, SNPs at the whole gene level were identified, and typing was accomplished utilizing a targeted sequencing genotype detection technique (GBTS). Then, a general linear model was used to perform an association study of HOXC8 gene polymorphism loci, multiple vertebral numbers, and carcass weight for screening candidate markers that can be used for molecular breeding of Dezhou donkeys. These findings revealed that HOXC8 included 12 SNPs, all unique mutant loci. The HOXC8 g.15179224C>T was significantly negatively associated with carcass weight (CW) and lumbar vertebrae length (LL) (p < 0.05). The g.15179674G>A locus was shown to be significantly positively associated with the number of lumbar vertebrae (LN) (p < 0.05). The phylogenetic tree constructed for the Dezhou donkey HOXC8 gene and seven other species revealed that the HOXC8 gene was highly conserved during animal evolution but differed markedly among distantly related animals. The results suggest that HOXC8 is a vital gene affecting multiple vertebral numbers and carcass weight in Dezhou donkeys, and the two loci g.15179224C>T and g.15179674G>A may be potential genetic markers for screening and breeding of new strains of high-quality and high-yielding Dezhou donkeys.

show abstract

“…It was also reported that the animal feed intake and weight gain data were significantly reduced when the body dimensions were measured [9]. In addition, the non-standard and less rigorous measurement adopted at different stages of the cattle lifespan can directly affect the progress of beef cattle breeding [10].…”

Section: Introductionmentioning

confidence: 99%

Key Region Extraction and Body Dimension Measurement of Beef Cattle Using 3D Point Clouds

et al. 2022

Agriculture

View full text Add to dashboard Cite

Body dimensions are key indicators for the beef cattle fattening and breeding process. On-animal measurement is relatively inefficient, and can induce severe stress responses among beef cattle and pose a risk for operators, thereby impacting the cattle’s growth rate and wellbeing. To address the above issues, a highly efficient and automatic method was developed to measure beef cattle’s body dimensions, including the oblique length, height, width, abdominal girth, and chest girth, based on the reconstructed three-dimensional point cloud data. The horizontal continuous slice sequence of the complete point clouds was first extracted, and the central point of the beef cattle leg region was determined from the span distribution of the point cloud clusters in the targeted slices. Subsequently, the boundary of the beef cattle leg region was identified by the “five-point clustering gradient boundary recognition algorithm” and was then calibrated, followed by the accurate segmentation of the corresponding region. The key regions for body dimension data calculation were further determined by the proposed algorithm, which forms the basis of the scientific calculation of key body dimensions. The influence of different postures of beef cattle on the measurement results was also preliminarily discussed. The results showed that the errors of calculated body dimensions, i.e., the oblique length, height, width, abdominal girth, and chest girth, were 2.3%, 2.8%, 1.6%, 2.8%, and 2.6%, respectively. In the present work, the beef cattle body dimensions could be effectively measured based on the 3D regional features of the point cloud data. The proposed algorithm shows a degree of generalization and robustness that is not affected by different postures of beef cattle. This automatic method can be effectively used to collect reliable phenotype data during the fattening of beef cattle and can be directly integrated into the breeding process.

show abstract

Genetic analyses of metabolic body weight, carcass weight and body conformation traits in Nordic dairy cattle

Cited by 11 publications

References 9 publications

Associations of carcass weight and trimming loss with cull dairy cow health observations collected at slaughter.

Associations of carcass weight and trimming loss with cull dairy cow health observations collected at slaughter.

Association of HOXC8 Genetic Polymorphisms with Multi-Vertebral Number and Carcass Weight in Dezhou Donkey

Key Region Extraction and Body Dimension Measurement of Beef Cattle Using 3D Point Clouds

Contact Info

Product

Resources

About