scholarly journals First Identification of the Causal Mutation for Coagulation F11 Deficiency in Hanwoo Cattle

2019 ◽  
Vol 64 (1) ◽  
pp. 55-59
Author(s):  
Sung Hyun CHO ◽  
Dongwon SEO ◽  
Onolragchaa GANBOLD ◽  
Nu Ri CHOI ◽  
Prabuddha MANJULA ◽  
...  
Keyword(s):  
Causal Mutation ◽  
Hanwoo Cattle

scholarly journals Correction: Weighted Genomic Best Linear Unbiased Prediction for Carcass Traits in Hanwoo Cattle. Genes 2019, 10, 1019

Genes ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1013
Author(s):  
Bryan Irvine Lopez ◽  
Seung-Hwan Lee ◽  
Jong-Eun Park ◽  
Dong-Hyun Shin ◽  
Jae-Don Oh ◽  
...  
Keyword(s):  
Carcass Traits ◽  
Best Linear Unbiased Prediction ◽  
Linear Unbiased Prediction ◽  
Best Linear Unbiased ◽  
Hanwoo Cattle ◽  
Unbiased Prediction

The authors wish to make the following corrections to this paper [...]

scholarly journals Prediction of Hanwoo Cattle Phenotypes from Genotypes Using Machine Learning Methods

Animals ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 2066
Author(s):  
Swati Srivastava ◽  
Bryan Irvine Lopez ◽  
Himansu Kumar ◽  
Myoungjin Jang ◽  
Han-Ha Chai ◽  
...  
Keyword(s):  
Machine Learning ◽  
Support Vector ◽  
Learning Methods ◽  
Eye Muscle ◽  
Important Species ◽  
Machine Learning Methods ◽  
Extreme Gradient Boosting ◽  
Boosting Method ◽  
Predictive Correlation ◽  
Hanwoo Cattle

Hanwoo was originally raised for draft purposes, but the increase in local demand for red meat turned that purpose into full-scale meat-type cattle rearing; it is now considered one of the most economically important species and a vital food source for Koreans. The application of genomic selection in Hanwoo breeding programs in recent years was expected to lead to higher genetic progress. However, better statistical methods that can improve the genomic prediction accuracy are required. Hence, this study aimed to compare the predictive performance of three machine learning methods, namely, random forest (RF), extreme gradient boosting method (XGB), and support vector machine (SVM), when predicting the carcass weight (CWT), marbling score (MS), backfat thickness (BFT) and eye muscle area (EMA). Phenotypic and genotypic data (53,866 SNPs) from 7324 commercial Hanwoo cattle that were slaughtered at the age of around 30 months were used. The results showed that the boosting method XGB showed the highest predictive correlation for CWT and MS, followed by GBLUP, SVM, and RF. Meanwhile, the best predictive correlation for BFT and EMA was delivered by GBLUP, followed by SVM, RF, and XGB. Although XGB presented the highest predictive correlations for some traits, we did not find an advantage of XGB or any machine learning methods over GBLUP according to the mean squared error of prediction. Thus, we still recommend the use of GBLUP in the prediction of genomic breeding values for carcass traits in Hanwoo cattle.

GM2 gangliosidosis B1 variant: Possible portuguese origin of a causal mutation

1992 ◽  
Vol 8 (5) ◽  
pp. 408
Author(s):  
M. Maia ◽  
D. Alves ◽  
R. Santos ◽  
G. Ribeiro ◽  
R. Pinto ◽  
...  
Keyword(s):  
Gm2 Gangliosidosis ◽  
Causal Mutation

scholarly journals A missense mutation in the skeletal muscle chloride channel 1 (CLCN1) as candidate causal mutation for congenital myotonia in a New Forest pony

2012 ◽  
Vol 22 (4) ◽  
pp. 361-367 ◽  
Author(s):  
Inge D. Wijnberg ◽  
Marta Owczarek-Lipska ◽  
Roberta Sacchetto ◽  
Francesco Mascarello ◽  
Francesco Pascoli ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Missense Mutation ◽  
Chloride Channel ◽  
New Forest ◽  
Causal Mutation

THE KOREAN HANWOO BEEF CATTLE

1994 ◽  
Vol 14 ◽  
pp. 61-71 ◽  
Author(s):  
Chan - Won Song
Keyword(s):  
Live Weight ◽  
Domestic Animal ◽  
Geographic Region ◽  
Reference Case ◽  
Selection Scheme ◽  
Adult Weight ◽  
Animal Genetic Resource ◽  
Improvement Scheme ◽  
Hanwoo Cattle ◽  
Economic Use

SUMMARYThe Hanwoo cattle of Korea are probably one of the oldest autochthonous breeds in the world that are known to have populated a specific geographic region for over 2000 years. They are also a unique case of a domestic animal genetic resource (DAGR) that after having followed the classical tendency of dangerously and rapidly decreasing numbers (I 740 000 in 1940 down to 393 000 in 1950) moved slowly back to near 2 000 000 in 1993, following an exemplary and voluntary conservation programme and a well organized national improvement scheme. This wellplanned selection scheme made it possible for the average live weight of Hanwoo cattle to nearly double their measure adult weight since the first in official controls were made in the early seventies: sires from 290 kg to 477 kg and cows from 246 kg to 309 kg in a more than 30 year period. This is a unique reference case of D.A.G.R. conservation, of domestic preservation, development, and economic use within the traditional production ten-ns and management conditions of a specific geo-cultural environment.

scholarly journals Estimates of genetic parameters for fatty acid compositions in the longissimus dorsi muscle of Hanwoo cattle

animal ◽  
2018 ◽  
Vol 12 (4) ◽  
pp. 675-683 ◽  
Author(s):  
M.S.A. Bhuiyan ◽  
D.H. Lee ◽  
H.J. Kim ◽  
S.H. Lee ◽  
S.H. Cho ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Genetic Parameters ◽  
Longissimus Dorsi ◽  
Longissimus Dorsi Muscle ◽  
Dorsi Muscle ◽  
Hanwoo Cattle ◽  
Fatty Acid Compositions

scholarly journals Estimation of carcass weight of Hanwoo (Korean native cattle) as a function of body measurements using statistical models and a neural network

2020 ◽  
Vol 33 (10) ◽  
pp. 1633-1641
Author(s):  
Dae-Hyun Lee ◽  
Seung-Hyun Lee ◽  
Byoung-Kwan Cho ◽  
Collins Wakholi ◽  
Young-Wook Seo ◽  
...  
Keyword(s):  
Neural Network ◽  
Multiple Regression ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Carcass Weight ◽  
Body Measurements ◽  
Least Square Regression ◽  
Data Points ◽  
Hanwoo Cattle

Objective: The objective of this study was to develop a model for estimating the carcass weight of Hanwoo cattle as a function of body measurements using three different modeling approaches: i) multiple regression analysis, ii) partial least square regression analysis, and iii) a neural network.Methods: Data from a total of 134 Hanwoo cattle were obtained from the National Institute of Animal Science in South Korea. Among the 372 variables in the raw data, 20 variables related to carcass weight and body measurements were extracted to use in multiple regression, partial least square regression, and an artificial neural network to estimate the cold carcass weight of Hanwoo cattle by any of seven body measurements significantly related to carcass weight or by all 19 body measurement variables. For developing and training the model, 100 data points were used, whereas the 34 remaining data points were used to test the model estimation.Results: The R2 values from testing the developed models by multiple regression, partial least square regression, and an artificial neural network with seven significant variables were 0.91, 0.91, and 0.92, respectively, whereas all the methods exhibited similar R2 values of approximately 0.93 with all 19 body measurement variables. In addition, relative errors were within 4%, suggesting that the developed model was reliable in estimating Hanwoo cattle carcass weight. The neural network exhibited the highest accuracy.Conclusion: The developed model was applicable for estimating Hanwoo cattle carcass weight using body measurements. Because the procedure and required variables could differ according to the type of model, it was necessary to select the best model suitable for the system with which to calculate the model.

Molecular variation in pigmentation genes contributing to coat colour in native Korean Hanwoo cattle

2008 ◽  
Vol 39 (5) ◽  
pp. 550-553 ◽  
Author(s):  
T. R. Mohanty ◽  
K. S. Seo ◽  
K. M. Park ◽  
T. J. Choi ◽  
H. S. Choe ◽  
...  
Keyword(s):  
Coat Colour ◽  
Molecular Variation ◽  
Hanwoo Cattle

scholarly journals Genetic Variations in the Bovine Fatty Acid Desaturase 6 (FADS6) Are Associated with Fatty Acid Composition in Hanwoo Cattle

2016 ◽  
Vol 8 (12) ◽  
pp. 41 ◽  
Author(s):  
Krishnamoorthy Srikanth ◽  
Eunjin Lee ◽  
Anam Kwan ◽  
Youngjo Lim ◽  
Hoyoung Chung
Keyword(s):  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Acid Composition ◽  
Genetic Variants ◽  
Fatty Acid Desaturase ◽  
Domain Family ◽  
Sequence Analyses ◽  
Hardy Weinberg Equilibrium ◽  
Hanwoo Cattle ◽  
Intron 2

The purpose of this study was to discover genetic variants in the bovine fatty acid desaturase domain family member 6 (FADS6) gene and to test for associations with fatty acid composition (FAC) as well as carcass traits such as backfat thickness (BFT) and marbling scores (MAR). 90 Hanwoo steers were used in the study, and sequence analyses detected 4 genetic variants in intron 2 (approximately 10,890 bp) of FADS6. The FADS6 SNPs showed no significant departures from HWE (Hardy-Weinberg Equilibrium) except g.57772511C > T that did not have heterozygous genotypes. Genotypes of g.57770744A > G and g.57772511C > T were significantly associated with Vaccenic (C18:ln7), Palmitoleic (C16:ln7), and Stearic (C18:0) acids. The analysis confirmed dominance and additive effects for the g.57770744A > G and g.57772511C > T segments, respectively. A positive correlation (31.1%, P = 0.003) between BFT and Linolenic acid (C18:3n3) and a negative (-36.5%, P < 0.001) correlation between MAR and Eicosenoic acids (C20:1n9) were observed.

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