Precision finishing of South African lambs in feedlots: a review

Merwe, D.A. Van Der; Brand, T. S.; Hoffman, Louwrens C.

doi:10.1007/s11250-020-02282-x

Cited by 13 publications

(13 citation statements)

References 88 publications

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“…To rear a fattening animal profitably, a comprehensive understanding of the growth, fat accumulation, and feed intake dynamics is essential [ 21 ]. In this study, the objective was not to optimize the slaughter ages of the water buffalos but rather to ascertain the variations in buffalo fattening performance among farmers.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Anatolian Water Buffalo Carcass Weights Based on a Slaughterhouse Data Collection

Ozturk,

Arap,

Kocak

et al. 2024

Animals

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This study analyzed data collected on a slaughterhouse from 2017 to 2021, belonging to five hundred and twenty one Anatolian water buffalos from different farms located in Edirne, Istanbul, and Kirklareli. Specifically, it aimed to determine the factors affecting the carcass weights and slaughter ages of the Anatolian water buffalos. The results of the study showed that the slaughter age of the buffalos was a significant determinant of their carcass weights. Meanwhile, the sex, slaughter year, and slaughter season affected the carcass weight. Differences were observed for the slaughter age regarding the sex and farm origin. Since the pricing system in local markets is based on the buffalo carcass weight, the findings of this study could be essential for farmers when determining their fattening strategies.

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Section: Discussionmentioning

confidence: 99%

Evaluation of Anatolian Water Buffalo Carcass Weights Based on a Slaughterhouse Data Collection

Ozturk,

Arap,

Kocak

et al. 2024

Animals

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“…It is not only an important energy storage organ, but also has a regulatory effect on the physical support of tissues and organs, endocrine activity, energy balance and development [ 27 , 28 ]. In animal husbandry field, the content of abdominal fat, subcutaneous fat and intramuscular fat of the industrialization animals are deemed as important indicator for the quality and flavor of meat [ 29 – 31 ]. Fat production can be divided into two stages, that are, mesenchymal stem cells turn into preadipocytes and terminal differentiation of the preadipocytes [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Key circRNAs from goat: discovery, integrated regulatory network and their putative roles in the differentiation of intramuscular adipocytes

et al. 2023

BMC Genomics

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Background The procession of preadipocytes differentiation into mature adipocytes involves multiple cellular and signal transduction pathways. Recently. a seirces of noncoding RNAs (ncRNAs), including circular RNAs (circRNAs) were proved to play important roles in regulating differentiation of adipocytes. Result In this study, we aimed to identificate the potential circRNAs in the early and late stages of goat intramuscular adipocytes differentiation. Using bioinformatics methods to predict their biological functions and map the circRNA-miRNA interaction network. Over 104 million clean reads in goat intramuscular preadipocytes and adipocytes were mapped, of which16 circRNAs were differentially expressed (DE-circRNAs). Furthermore, we used real-time fluorescent quantitative PCR (qRT-PCR) technology to randomly detect the expression levels of 8 circRNAs among the DE-circRNAs, and our result verifies the accuracy of the RNA-seq data. From the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the DE-circRNAs, two circRNAs, circ_0005870 and circ_0000946, were found in Focal adhesion and PI3K-Akt signaling pathway. Then we draw the circRNA-miRNA interaction network and obtained the miRNAs that possibly interact with circ_0005870 and circ_0000946. Using TargetScan, miRTarBase and miR-TCDS online databases, we further obtained the mRNAs that may interact with the miRNAs, and generated the final circRNA-miRNA-mRNA interaction network. Combined with the following GO (Gene Ontology) and KEGG enrichment analysis, we obtained 5 key mRNAs related to adipocyte differentiation in our interaction network, which are FOXO3(forkhead box O3), PPP2CA (protein phosphatase 2 catalytic subunit alpha), EEIF4E (eukaryotic translation initiation factor 4), CDK6 (cyclin dependent kinase 6) and ACVR1 (activin A receptor type 1). Conclusions By using Illumina HiSeq and online databases, we generated the final circRNA-miRNA-mRNA interaction network that have valuable functions in adipocyte differentiation. Our work serves as a valuable genomic resource for in-depth exploration of the molecular mechanism of ncRNAs interaction network regulating adipocyte differentiation.

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“…Genotype-specific models therefore need to be developed to enable producers to optimise their production enterprises as far as possible. This is a significant challenge in South Africa, where a wide array of breeds (SA Stud Book 2015 ; van der Merwe et al 2020 ) can be found, and is further complicated by the use of crossbreeding in certain flocks.…”

Section: Reportmentioning

confidence: 99%

Determining and predicting feed intake in crossbred sheep from weaning until maturity

Theron,

Brand,

Cloete

et al. 2023

Trop Anim Health Prod

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Access to simple, accurate feed intake models would facilitate decision-making in feedlots as feed costs are a major part of operational expenditure. This study aimed to develop genotype-specific feed intake models for South African feedlot lambs. Four ram and four ewe lambs each of eight genotypes were raised under ideal growth conditions from weaning until 1 year of age. Feed intake and growth were monitored throughout this period. The intake data were then used to fit various models to predict daily feed intake, intake as percentage of body weight, cumulative intake and feed conversion ratio. No satisfactory univariate models could be found for the prediction of daily or percentage intake, but a good fit was found for cumulative intake data (R2 >0.80, P <0.01). The slope parameters of these linear models show a strong correlation (72%) with feed conversion and can therefore also serve as proxies for feed conversion. A model was also developed that can predict feed conversion ratio with a moderate accuracy (R2 =0.5, P <0.05) at a given body weight. The cumulative intake model was deemed accurate and simple enough for practical use.

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Precision finishing of South African lambs in feedlots: a review

Cited by 13 publications

References 88 publications

Evaluation of Anatolian Water Buffalo Carcass Weights Based on a Slaughterhouse Data Collection

Evaluation of Anatolian Water Buffalo Carcass Weights Based on a Slaughterhouse Data Collection

Key circRNAs from goat: discovery, integrated regulatory network and their putative roles in the differentiation of intramuscular adipocytes

Determining and predicting feed intake in crossbred sheep from weaning until maturity

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