• Animal Bioscience
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• v.36 no.7
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• pp.1003-1009
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• 2023

Objective: The objective was to compare (pedigree-based) best linear unbiased prediction (BLUP), genomic BLUP (GBLUP), and single-step GBLUP (ssGBLUP) methods for genomic evaluation of growth traits in a Mexican Braunvieh cattle population. Methods: Birth (BW), weaning (WW), and yearling weight (YW) data of a Mexican Braunvieh cattle population were analyzed with BLUP, GBLUP, and ssGBLUP methods. These methods are differentiated by the additive genetic relationship matrix included in the model and the animals under evaluation. The predictive ability of the model was evaluated using random partitions of the data in training and testing sets, consistently predicting about 20% of genotyped animals on all occasions. For each partition, the Pearson correlation coefficient between adjusted phenotypes for fixed effects and non-genetic random effects and the estimated breeding values (EBV) were computed. Results: The random contemporary group (CG) effect explained about 50%, 45%, and 35% of the phenotypic variance in BW, WW, and YW, respectively. For the three methods, the CG effect explained the highest proportion of the phenotypic variances (except for YW-GBLUP). The heritability estimate obtained with GBLUP was the lowest for BW, while the highest heritability was obtained with BLUP. For WW, the highest heritability estimate was obtained with BLUP, the estimates obtained with GBLUP and ssGBLUP were similar. For YW, the heritability estimates obtained with GBLUP and BLUP were similar, and the lowest heritability was obtained with ssGBLUP. Pearson correlation coefficients between adjusted phenotypes for non-genetic effects and EBVs were the highest for BLUP, followed by ssBLUP and GBLUP. Conclusion: The successful implementation of genetic evaluations that include genotyped and non-genotyped animals in our study indicate a promising method for use in genetic improvement programs of Braunvieh cattle. Our findings showed that simultaneous evaluation of genotyped and non-genotyped animals improved prediction accuracy for growth traits even with a limited number of genotyped animals.

• Korean Journal of Poultry Science
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• v.22 no.2
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• pp.67-75
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• 1995

The present study was conducted to estimate production performances, heritabilities, and genetic and phenotypic correlations on several economic traits in Korean native chicken. Data analyzed were the records of 1,096 pullets produced from 180 dams and 26 sires of Korean native chicken from April 19,1994 to February 26, 1995. Results obtained are surnmarized as follows: 1. The body weights(X${\pm}$SD) at 2, 8, 14 and 20 weeks of age were 114${\pm}$13, 690${\pm}$114, 1,163${\pm}$238, and 1,687${\pm}$349g, respectively. The age at first egg was 165.95${\pm}$14.54 days, and the number of eggs produced by 300 days of age were 70.78i23.47. The egg weights of the first egg and at 300 days of age were 37.88${\pm}$3.73 and 50.97${\pm}$3.69 g, respectively. 2. The heritability estimates of body weight based on the variance of sires, dams and combined components were 0.149, 0.298, and 0.224 at 8 weeks of age: 0.162, 0.220, and 0.192 at 20 weeks of age, respectively. 3. The heritability estimates of egg production traits based on the variance of sires, dams, and combined components were 0.232, 0.504, and 0.368 for age at first egg; 0.113, 0.172, and 0.143 for number of egg production by 300 days of age: 0.174, 0.352, and 0.236 for egg weight at 300 days of age, respectively. 4. The genetic correlation coefficients of some economic traits were as follows: between body weight and age at first egg, -0.354~-0.048; between body weight and number of egg production, -0.279~ -0.002; between body weight and egg weight, 0.338~0.977; between age at first egg and number of egg production, -0.791; between age at first egg and egg weight, 0.009~0.178; between number of egg production and egg weight, -0.572~ -0.256, respectively. 5. The phenotypic correlation coefficients of some economic traits were as follows: between body weight and age at first egg, -0.179~-0.006 between body weight and number of egg production, -0.045~0.074: between body weight and egg weight, 0.229~0.404: between age at first egg and number of egg production, -0.588: between age at first egg and egg weight, -0.029~0.597: between number of egg production and egg weight, -0.376~0. 019, respectively.

• Interdisciplinary Bio Central
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• v.6 no.1
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• pp.1.1-1.6
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• 2014

A growing body of evidence shows that most psychological traits are polygenic, that is they involve the action of many genes with small effects. However, the study of selection has disproportionately been on one or a few genes and their associated sweep signals (rapid and large changes in frequency). If our goal is to study the evolution of psychological variables, such as intelligence, we need a model that explains the evolution of phenotypes governed by many common genetic variants. This study illustrates simple statistical tools to detect signals of recent polygenic selection: a) ANOVA can be used to reveal significant deviation from random distribution of allele frequencies across racial groups. b) Principal component analysis can be used as a tool for finding a factor that represents the strength of recent selection on a phenotype and the underlying genetic variation. c) Method of correlated vectors: the correlation between genetic frequencies and the average phenotypes of different populations is computed; then, the resulting correlation coefficients are correlated with the corresponding alleles' genome-wide significance. This provides a measure of how selection acted on genes with higher signal to noise ratio. Another related test is that alleles with large frequency differences between populations should have a higher genome-wide significance value than alleles with small frequency differences. This paper fruitfully employs these tools and shows that common genetic variants exhibit subtle frequency shifts and that these shifts predict phenotypic differences across populations.

• Korean Journal of Poultry Science
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• v.28 no.3
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• pp.187-192
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• 2001

The repeatabilities on Yolk percentage and yolk to albumen (Y:A) ratio of the eggs produced consecutively were investigated. The differences between two yolk lines in major egg characteristics were also evaluated. The investigations using one hundred ISA-Brown layers were conducted at 29 wk, 33 wk, 38 wk, and 43 wk of age. At the initiated age (29 wk of age) of the experiments, the birds producing eggs with lower or higher Y:A ratio than the overall mean Y:A ratio were classified as Low Yolk Line (LYL) or High Yolk Line (HYL), respectively. Overall, the eggs of LYL were significantly (P<0.05) lighter in yolk weight and lower in yolk percentage for the whole egg weight and Y:A ratio, but heavier in egg weight, albumen weight, and shell weight than those of HYL. The overall mean correlations among the three consecutive laying days in Y:A ratio showed highly significant (P<0.001) in both lines. At four different ages, the mean phenotypic correlation coefficients (r$_{p}$) among the three consecutive laying days in Y:A ratio also had very high significant(P<0.01 ~ 0.001) positive values. The egg weight was more closely associated with albumen weight than with yolk weight in both yolk lines.s.

• Asian-Australasian Journal of Animal Sciences
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• v.26 no.10
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• pp.1388-1398
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• 2013

The present study investigated the contribution of carcass traits on carcass prices of Holstein steers in Korea. Phenotypic data consisted of 76,814 slaughtered Holsteins (1 to 6 yrs) from all over Korea. The means for live body weight at slaughter (BWT), chilled carcass weight (CWT), dressing percentage (DP), quantity grade index (QGI), eye muscle area (EMA), backfat thickness (BF) and marbling score (MS), carcass unit price (CUP), and carcass sell prices (CSP) were 729.0 kg, 414.2 kg, 56.79%, 64.42, $75.26cm^2$, 5.77 mm, 1.98, 8,952.80 Korean won/kg and 3,722.80 Thousand Korean won/head. Least squares means were significantly different by various age groups, season of slaughter, marbling scores and yield grades. Pearson's correlation coefficients of CUP with carcass traits ranged from 0.12 to 0.62. Besides, the relationships of carcass traits with CSP were relatively stronger than those with CUP. The multiple regression models for CUP and CSP with carcass traits accounted 39 to 63% of the total variation, respectively. Marbling score had maximum economic effects (partial coefficients) on both prices. In addition, the highest standardized partial coefficients (relative economic weights) for CUP and CSP were calculated to be on MS and CWT by 0.608 and 0.520, respectively. Path analyses showed that MS (0.376) and CWT (0.336) had maximum total effects on CUP and CSP, respectively; whereas BF contributed negatively. Further sub-group (age and season of slaughter) analyses also confirmed the overall outcomes. However, the relative economic weights and total path contributions also varied among the animal sub-groups. This study suggested the significant influences of carcass traits on carcass prices; especially MS and CWT were found to govern the carcass prices of Holstein steers in Korea.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.31 no.2
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• pp.179-185
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• 1986

This study was to compare year variations of heritability, phenotypic, genotypic and environmental correlations as well as pathway coefficients for main characters of tea tree to provide useful selection information for improving tea tree. The data collected from the performance yield trials from 1979 to 1981 were used in this study. I. The genetic variance of fresh fruit yielding, dryed fruit yielding and fresh weight of root was not only greatly varied with year, but also the largest among all characteristies studied. Other characteristics showed higher genetic variance than environmental variances, and year variances were not large. 2. Both year and variety x year interaction were highly significant sources of variation for all yield characteristics, and year variances were not large. 3. All characteristics showed high broad sense heritabilities, and the broad sense heritability was not varied with year. 4. The genetic correlation coefficients between fresh fruit yielding and dryed fruit yielding, fresh weight of root and Gigolpi, dryed weight of root and Gigolpi were positive, and the year variation was not large. S. The pathway coefficients of the character was not only greatly varied with year and the fresh weight of root affected directly on the Gigolpi.

• Korean Journal of Plant Resources
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• v.31 no.3
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• pp.254-267
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• 2018

The phenotypic traits of 63 Asian plum varieties were investigated for three years to select those with superior qualities for breeding. Eight morphological characteristics of the flowers and fruits (e.g., stigma position, fruit skin, and flesh color) were evaluated. Phenological characteristics (e.g., blooming time and ripening time) were also monitored. Being useful traits for breeding, fruit quality factors (e.g., fruit weight, skin color, flesh color, soluble solids content, and titratable acidity) were evaluated as well. The majority of the fruits were cordate (36%) and circular (23%) in shape. Approximately 78% of the varieties showed a red skin color, whereas 67% had yellowish fruit flesh. Fruit ripening occurred from June 28th to September 5th, spanning 69 days. The average fruit weight and soluble solids content were 77.2 g and $12.2^{\circ}Brix$, respectively. Regarding correlations among the characteristics, the most significant correlation coefficients were for the ripening time and fruit size parameters. Such information of Asian plum varieties will be useful for future breeding programs.

• Korean Journal of Poultry Science
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• v.22 no.1
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• pp.15-31
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• 1995

This study was carried out to develop a computer software system for poultry breeding by using microcomputer(PC). Through this study, SPPB(Statistical Package for Poultry Breeding) was designed and developed, which can help poultry breeder collect and analyse the chick records. A main feature of the system was the application of user-oriented procedure, for example, choice of the flock file, selection of the family size and the desired traits. Creation of the data files and the breeding files. calculation of the elementary statistics, estimation of the heritability and the genetic and phenotypic correlation coefficients can be obtained by user's choice of the sire and dam family size. Also, it is possible to estimate the various selection indices through this system. Easiness of using this system and the flexibility of the file management could help increasing the efficiency of related practical poultry breeding jobs. Correctness and relationships between the unit programs in the system were proved through the run-test of the SPPB using sample data. Because it wasn't able to collect breeding records at the commercial breeding farm, effectiveness of the system was not proved totally. Also. it will be necessary to develop the integrated software system which make possible to computerize the general works at breeding farm and the genetic analyses of the records from chick breeders.

• Journal of Animal Science and Technology
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• v.46 no.1
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• pp.31-38
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• 2004

Data from five Hanwoo breeding farms were collected to analyze the effects of parity, season, nutrition and reproduction on body conditions of heifers and cows and to analyze the relationships of body conditions with reproductive performances and body growth. Analytic models included farms and parity which were run through SAS to estimate least squares means and correlation coeflicients between traits body condition scores(BCS) of I(very emaciated) through 9(very obese) scale at service and at calving. calving interval, days to rebreeding, gestation length. number of services per conception. Overall averages were 4.55 for BCS at service, 5.42 for BCS at calving. 406.7days of calving interval, 287.7days of gestation length, 66.2days from calving 10 first service and 1.78 times of services per conception. Number of services per conception was 1.50${\sim}$1.74 times for the cows of BCS 5 or under and 2.00${\sim}$3.00 for those of BCS 6 or higher. Body weight of calves from cows observed averaged 23.3kg at birth and 70.7kg at weaning. 57 percent of cows showed BCS 4${\sim}$5 at service while 46 percent of those showed 5${\sim}$6 at calving. Estimated phenotypic correlation coefficients of BCS at service with BCS at calving, calving interval, gestation length, number of services per conception were low but positive: 0.16, 0.26. 0.08 and 0.06. respectively. Phenotypic correlations of BCS at calving with calving interval, gestation length and number of services per conception were estimated to be also low and positive: 0.10, 0.13 and 0.10. respectively. However, phenotypic correlations between calving interval and gestation length, and between gestation length and number of services per conception were negative but low as - 0.11 and- 0.13 each.

• Journal of Embryo Transfer
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• v.20 no.3
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• pp.239-253
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• 2005

Serum concentrations of Hanwoo steers and bulls as possible indicators of beef quality were analyzed to estimate their correlations with carcass traits. Blood samples were taken 2 months and right before shipping to abattoir and at the time of slaughter. And phenotypic correlation coefficients between serum concentrations and carcass traits were estimated. Beef yield index of steers was positively correlated with serum concentrations of total Protein (0.23), albumin (0.26), and calcium (0.31). But it was negatively co..elated with BUN (-0.30). Loin eye area was positively correlated with BUN (0.17) or with globulin (0.16). Back fat thickness was positively correlated with BUN (0.42) and inorganic phosphorus (0.20) being negatively correlated with total protein (-0.23), albumin (-0.33) and calcium (-0.33). Marbling score in the scale of 1 (scarcely marbled) through 9 (extremely marbled) was positively correlated with BUN (0.28) and negatively with IGF-I and calcium concentrations. Phenotype correlation coefficient of loin eye area with total protein concentration in the serum taken from steers right before shipment was estimated to be -0.16 and that with BUN was estimated to be -0.15. Serum concentrations of IGF, glucose, creatinine and on organic phosphorus from steers measured right before shipment were negatively correlated with respective correlation coefficient estimates as -0.21, -0.21, -0.19 and -0.18. Marbling score was negatively co..elated with serum creatinine (-0.16) measured at that time. Beef yield index of steers was positively correlated (0.31) with age adjusted calcium concentration in the serum taken at the time of slaughter. Correlation between body weight and BUN at slaughter was 0.17 At slaughter, loin eye area was negatively correlated with albumin (-0.19) and back fat thickness was also negatively correlated with age adjusted calcium concentration (-0.38). Marbling was negatively correlated with age adjusted calcium concentration(-0.17). Serum concentrations of testosterone, calcium and inorganic phosphorus taken in 2 months before slaughter were negatively but highly correlated with yield index(0.71, 0.67 and -0.71), respectively. Body weight at slaughter was positively was negatively correlated (0.67) with calcium level while dressing percentage was negatively (-0.69) correlated with serum glucose concentration, 2 months prior to slaughter. Correlation coefficients between back fat thickness and cortisol, between back fat thickness and inorganic phosphate were both positive (0.29 and 0.69). Marbling score was negatively correlated with creatinine (-0.81) and positively with BUN (0.87). Body weight loss during shipping was positively correlated with albumin and inorganic phosphate (0.77, 0.83). Yield index of bulls was positively correlated with serum testosterone concentration (0.66). Dressing percentage was positively and highly correlated with globulin (0.73). Back fat thickness of bulls, however, was negatively correlated with testosterone (-0.60). Loin eye area of bull carcasses was positively correlated with testosterone (0.40). Mar-blaine was negatively co..elated with creatinine (-0.55). Yield index of bulls and age adjusted HDLC concentration at slaughter was negatively correlated (-0.71). Dressing percentage of bulls was positively and highly correlated with globulin concentration (0.70). Back fat thickness was also positively correlated with HDLC (0.69) in the serum taken at slaughter. Correlation coefficients between carcass weight and triglyceride, between loin eye are and testosterone and between marbling score and creatinine or glucose were 0.51, -0.91 and -0.58, respectively.