Maternal body composition in seedstock herds. 5. Individual-trait selection direction aligns with breeder perspectives on maternal productivity

2018 ◽  
Vol 58 (1) ◽  
pp. 156
Author(s):  
S. J. Lee ◽  
I. K. Nuberg ◽  
W. S. Pitchford
Keyword(s):  
Qualitative Research ◽  
Principal Component Analysis ◽  
Body Composition ◽  
Principal Component ◽  
Gestation Length ◽  
Muscle Area ◽  
Eye Muscle ◽  
Genetic Merit ◽  
Individual Trait ◽  
Estimated Breeding Values

The present paper quantifies the variation in selection direction and genetic merit for the 10 Angus seedstock herds that contributed the majority of the data to the industry herd component of the Beef CRC Maternal Productivity Project. Differences in multi-trait selection direction for 17 BREEDPLAN estimated breeding values (EBVs) ranged between 16 and 63 degrees. Important differences among herds for selection direction for individual EBVs were identified. Specifically, some herds had been selecting to increase rib-fat and rump-fat EBV, while others were decreasing them. On the basis of a principal component analysis, 78% of the between herd difference in genetic merit as assessed by 17 EBVs was accounted for by two principal components. For 2000-born calves, the first principal component accounted for 50% of the genetic variation between herds and was most closely associated with days to calving EBV. Of the genetic merit for 2009-born calves, the first principal component accounted for 49% of the between herd variation and had the strongest weightings with BREEDPLAN rib-fat and rump-fat EBVs. The second principal component accounted for 29% of the variation and was most strongly related with BREEDPLAN EBVs for traits gestation length, milk and eye muscle area and 200-, 400- and 600-day weight. The variation at 2009 is consistent with outcomes from qualitative research that hypothesised that the main differences in genetic merit among herds are associated with rib-fat and rump-fat EBVs, but there were also differences in selection emphasis for weight traits. Despite differences in genetic merit among herds being generally small, they will manifest themselves in different productivity outcomes depending on the management system. Seedstock breeders and bull buyers should be aware of this and target their animal selection accordingly.

Maternal body composition in seedstock herds. 2. Relationships between cow body composition and BREEDPLAN EBVs for Angus and Hereford cows

2018 ◽  
Vol 58 (1) ◽  
pp. 125
Author(s):  
S. J. Lee ◽  
K. A. Donoghue ◽  
W. S. Pitchford
Keyword(s):  
Body Composition ◽  
Maternal Effect ◽  
Milk Fat ◽  
Subcutaneous Fat ◽  
Intramuscular Fat ◽  
The Body ◽  
Muscle Area ◽  
Eye Muscle ◽  
Estimated Breeding Values ◽  
Do So

Relationships between BREEDPLAN estimated breeding values (EBVs) for 600-day weight, maternal effect on calf weaning weight (Milk), fat depth at P8 site (Rump), 12/13th rib fat depth (Rib), eye muscle area (EMA), and intramuscular fat (IMF) with body composition measures in first- and second-parity Angus and Hereford cows were investigated. More than 4000 Angus and 1000 Hereford cows were measured for weight, height, ultrasound P8 fat depth (P8), 12/13th rib fat depth (RIB), loin EMA and IMF (%) at pre-calving and weaning. The body composition measurements were then regressed against mid-parent BREEDPLAN EBVs. Increased 600-day weight EBV was associated with increased weight and height but decreased P8 and rib fat depths and EMA when considered on a weight-constant basis. BREEDPLAN EBVs for Rump, Rib, EMA and IMF were closely related to the equivalent ultrasound measure in Angus and Hereford cows at pre-calving and weaning in the first two parities. These results indicate that current BREEDPLAN carcass EBVs are associated with cow body composition, so if producers want to change the body composition of their cows, they can do so using existing BREEDPLAN carcass EBVs, and there appears no requirement for additional EBVs to describe cow body-composition traits for subcutaneous fat, EMA and IMF.

The effect of different dietary protein levels in the rearing phase (from 60 kg) on body composition and reproductive performance of gilts

1996 ◽  
Vol 1996 ◽  
pp. 143-143
Author(s):  
M C Cia ◽  
S A Edwards ◽  
V L Glasgow ◽  
M Shanks ◽  
H Fraser
Keyword(s):  
Body Composition ◽  
Reproductive Performance ◽  
Large White ◽  
Muscle Area ◽  
Eye Muscle ◽  
Protein Levels ◽  
Fat Reserves ◽  
Low Protein ◽  
Protein Diets ◽  
Real Time Ultrasonography

Low protein diets have been proposed as a way to enhance fat reserves and reduce liveweight gain in breeding animals of very lean genotypes. The objective of this study was to examine the effect of different protein levels on daily gain, body composition and reproductive performance of gilts.At 118 (sem=0.28) days old, 54 genetically lean gilts ((Landrace x Large White) x Large White) were allocated, considering firstly age and secondly weight, between three treatments with different dietary lysine:energy (g/MJ DE) ratios: High (0.9), Medium (0.6) and Low (0.3), fed twice daily at 2.9 x maintenance energy. Animals were weighed weekly and backfat thickness (P2) and muscle depth values were also taken. Eye muscle area measurements were taken by real time ultrasonography (Aloka 500) at the end of the experiment At 160 days of age, puberty was induced by administration of exogenous gonadotropin (PG600).

Maternal body composition in seedstock herds. 4. Genetic parameters for body composition of Angus and Hereford cows

2018 ◽  
Vol 58 (1) ◽  
pp. 145 ◽  
Author(s):  
K. A. Donoghue ◽  
S. J. Lee ◽  
P. F. Parnell ◽  
W. S. Pitchford
Keyword(s):  
Body Composition ◽  
Body Condition Score ◽  
Genetic Relationships ◽  
Genetic Correlations ◽  
Fat Percentage ◽  
Muscle Area ◽  
Eye Muscle ◽  
Life Traits ◽  
Condition Score ◽  
Over Time

The genetics of body composition traits measured before calving and at weaning in the first and second parities were evaluated in 5975 Angus and 1785 Hereford cows. Traits measured were liveweight, body condition score and hip height and ultrasound scanned measurements of subcutaneous P8 and 12/13th rib fat depth, loin eye muscle area and intramuscular fat percentage. Corresponding yearling measures on these animals were obtained for analyses of relationships between yearling information with later-in-life traits. There was moderate genetic variation in all body composition traits measured at pre-calving and weaning in Angus (h2 = 0.14–0.59) and Hereford (h2 = 0.14–0.64) cows. Genetic correlations between measurements of the same trait at pre-calving and weaning were consistently positive and high in both parities for both breeds, indicating animals were ranking similarly for the same trait measured over time. Genetic correlations between measurements of different traits were generally consistent over time (pre-calving and weaning) in both breeds, indicating genetic relationships between traits were not changing significantly over time. Genetic correlations with corresponding yearling measures of body composition were consistently positive and high for the first parity, and lower for the second parity. The results of this study indicate that genetic improvement in body composition traits in cows is possible, and that body composition information recorded at yearling age is a reasonably good predictor of later in life performance for these traits.

scholarly journals Metabolic Syndrome Derived from Principal Component Analysis and Incident Cardiovascular Events: The Multi Ethnic Study of Atherosclerosis (MESA) and Health, Aging, and Body Composition (Health ABC)

2012 ◽  
Vol 2012 ◽  
pp. 1-9 ◽  
Author(s):  
Subhashish Agarwal ◽  
David R. Jacobs ◽  
Dhananjay Vaidya ◽  
Christopher T. Sibley ◽  
Neal W. Jorgensen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Metabolic Syndrome ◽  
Principal Component Analysis ◽  
Body Composition ◽  
African Americans ◽  
Principal Component ◽  
Component Analysis ◽  
Continuous Measure ◽  
Cut Point ◽  
Health Aging

Background. The NCEP metabolic syndrome (MetS) is a combination of dichotomized interrelated risk factors from predominantly Caucasian populations. We propose a continuous MetS score based on principal component analysis (PCA) of the same risk factors in a multiethnic cohort and compare prediction of incident CVD events with NCEP MetS definition. Additionally, we replicated these analyses in the Health, Aging, and Body composition (Health ABC) study cohort.Methods and Results. We performed PCA of the MetS elements (waist circumference, HDL, TG, fasting blood glucose, SBP, and DBP) in 2610 Caucasian Americans, 801 Chinese Americans, 1875 African Americans, and 1494 Hispanic Americans in the multiethnic study of atherosclerosis (MESA) cohort. We selected the first principal component as a continuous MetS score (MetS-PC). Cox proportional hazards models were used to examine the association between MetS-PC and 5.5 years of CVD events (n=377) adjusting for age, gender, race, smoking and LDL-C, overall and by ethnicity. To facilitate comparison of MetS-PC with the binary NCEP definition, a MetS-PC cut point was chosen to yield the same 37% prevalence of MetS as the NCEP definition (37%) in the MESA cohort. Hazard ratio (HR) for CVD events were estimated using the NCEP and Mets-PC-derived binary definitions. In Cox proportional models, the HR (95% CI) for CVD events for 1-SD (standard deviation) of MetS-PC was 1.71 (1.54–1.90) (P<0.0001) overall after adjusting for potential confounders, and for each ethnicity, HRs were: Caucasian, 1.64 (1.39–1.94), Chinese, 1.39 (1.06–1.83), African, 1.67 (1.37–2.02), and Hispanic, 2.10 (1.66-2.65). Finally, when binary definitions were compared, HR for CVD events was 2.34 (1.91–2.87) for MetS-PC versus 1.79 (1.46–2.20) for NCEP MetS. In the Health ABC cohort, in a fully adjusted model, MetS-PC per 1-SD (Health ABC) remained associated with CVD events (HR=1.21, 95%CI 1.12–1.32) overall, and for each ethnicity, Caucasian (HR=1.24, 95%CI 1.12–1.39) and African Americans (HR=1.16, 95%CI 1.01–1.32). Finally, when using a binary definition of MetS-PC (cut point 0.505) designed to match the NCEP definition in terms of prevalence in the Health ABC cohort (35%), the fully adjusted HR for CVD events was 1.39, 95%CI 1.17–1.64 compared with 1.46, 95%CI 1.23–1.72 using the NCEP definition.Conclusion. MetS-PC is a continuous measure of metabolic syndrome and was a better predictor of CVD events overall and in individual ethnicities. Additionally, a binary MetS-PC definition was better than the NCEP MetS definition in predicting incident CVD events in the MESA cohort, but this superiority was not evident in the Health ABC cohort.

scholarly journals Using compositional principal component analysis to describe children's gut microbiota in relation to diet and body composition

2019 ◽  
Author(s):  
Claudia Leong ◽  
Jillian J Haszard ◽  
Anne-Louise M Heath ◽  
Gerald W Tannock ◽  
Blair Lawley ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Body Composition ◽  
Gut Microbiota ◽  
Principal Component ◽  
Component Analysis ◽  
Z Score ◽  
Large Numbers ◽  
Nonstarch Polysaccharides ◽  
Z Scores ◽  
Duration Of Breastfeeding

ABSTRACT Background Gut microbiota data obtained by DNA sequencing are complex and compositional because of large numbers of detectable taxa, and because microbiota characteristics are described in relative terms. Nutrition researchers use principal component analysis (PCA) to derive dietary patterns from food data. Although compositional PCA methods are not commonly used to describe patterns from complex microbiota data, this approach would be useful for identifying gut microbiota patterns associated with diet and body composition. Objectives To use compositional PCA to describe the principal components (PCs) of gut microbiota in 5-y-old children and explore associations between microbiota components, diet, and BMI z-score. Methods A fecal sample was provided by 319 children aged 5 y. Their primary caregiver completed a validated 123-item quantitative FFQ. Body composition was determined using DXA, and a BMI z-score was calculated. Compositional PCA identified characterizing taxa and weightings for calculation of gut microbiota PC scores at the genus level, and was examined in relation to diet and body size. Results Three gut microbiota PCs were found. PC1 (negative loadings on uncultured Christensenellaceae and Ruminococcaceae) was related to lower BMI z-scores and longer duration of breastfeeding (per month) (β = −0.14; 95% CI: −0.26, −0.02; and β = 0.02; 95% CI: 0.003, 0.34, respectively). PC2 (positive loadings on Fusicatenibacter and Bifidobacterium; negative loadings on Bacteroides) was associated with a lower intake of nuts, seeds, and legumes (β = −0.05 per gram; 95% CI: −0.09, −0.01). When adjusted for fiber intake, PC2 was also associated with higher BMI z-scores (β = 0.12; 95% CI: 0.01, 0.24). PC3 (positive loadings on Faecalibacterium, Eubacterium, and Roseburia) was associated with higher intakes of fiber (β = 0.02 per gram; 95% CI: 0.003, 0.04) and total nonstarch polysaccharides (β = 0.02 per gram; 95% CI: 0.003, 0.04). Conclusions Our results suggest that specific gut microbiota components determined using compositional PCA are associated with diet and BMI z-score. This trial was registered at clinicaltrials.gov as NCT00892983.

The effect of different dietary protein levels in the rearing phase (from 60 kg) on body composition and reproductive performance of gilts

1996 ◽  
Vol 1996 ◽  
pp. 143-143
Author(s):  
M C Cia ◽  
S A Edwards ◽  
V L Glasgow ◽  
M Shanks ◽  
H Fraser
Keyword(s):  
Body Composition ◽  
Reproductive Performance ◽  
Large White ◽  
Muscle Area ◽  
Eye Muscle ◽  
Protein Levels ◽  
Fat Reserves ◽  
Low Protein ◽  
Protein Diets ◽  
Real Time Ultrasonography

Low protein diets have been proposed as a way to enhance fat reserves and reduce liveweight gain in breeding animals of very lean genotypes. The objective of this study was to examine the effect of different protein levels on daily gain, body composition and reproductive performance of gilts.At 118 (sem=0.28) days old, 54 genetically lean gilts ((Landrace x Large White) x Large White) were allocated, considering firstly age and secondly weight, between three treatments with different dietary lysine:energy (g/MJ DE) ratios: High (0.9), Medium (0.6) and Low (0.3), fed twice daily at 2.9 x maintenance energy. Animals were weighed weekly and backfat thickness (P2) and muscle depth values were also taken. Eye muscle area measurements were taken by real time ultrasonography (Aloka 500) at the end of the experiment At 160 days of age, puberty was induced by administration of exogenous gonadotropin (PG600).

scholarly journals Fine mapping of porcine chromosome 6 QTL and LEPR effects on body composition in multiple generations of an Iberian by Landrace intercross

2005 ◽  
Vol 85 (1) ◽  
pp. 57-67 ◽  
Author(s):  
C. ÓVILO ◽  
A. FERNÁNDEZ ◽  
J. L. NOGUERA ◽  
C. BARRAGÁN ◽  
R. LETÓN ◽  
...  
Keyword(s):  
Body Composition ◽  
Leptin Receptor ◽  
Receptor Gene ◽  
Chromosome 6 ◽  
Nucleotide Polymorphisms ◽  
Fat Percentage ◽  
Muscle Area ◽  
Eye Muscle ◽  
Coding Regions ◽  
Narrow Region

The leptin receptor gene (LEPR) is a candidate for traits related to growth and body composition, and is located on SSC6 in a region where fatness and meat composition quantitative trait loci (QTL) have previously been detected in several F2 experimental designs. The aims of this work were: (i) to fine map these QTL on a larger sample of animals and generations (F3 and backcross) of an Iberian×Landrace intercross and (ii) to examine the effects of LEPR alleles on body composition traits. Eleven single nucleotide polymorphisms (SNPs) were detected by sequencing LEPR coding regions in Iberian and Landrace pig samples. Three missense polymorphisms were genotyped by pyrosequencing in 33 F0, 70 F1, 418 F2, 86 F3 and 128 individuals coming from the backcross of four F2 males with 24 Landrace females. Thirteen microsatellites and one SNP were also genotyped. Traits analysed were: backfat thickness at different locations (BFT), intramuscular fat percentage (IMFP), eye muscle area (EMA), loin depth (LOD), weight of shoulder (SHW), weight of ribs (RIBW) and weight of belly bacon (BBW). Different statistical models were applied in order to evaluate the number and effects of QTL on chromosome 6 and the possible causality of the LEPR gene variants with respect to the QTL. The results support the presence of two QTL on SSC6. One, at position 60–100 cM, affects BFT and RIBW. The other and more significant maps in a narrow region (130–132 cM) and affects BFT, IMFP, EMA, LOD, SHW, RIBW and BBW. Results also support the association between LEPR alleles and BFT traits. The possible functional implications of the analysed polymorphisms are considered.

Use of the Principal Component Analysis (PCA) to Reduce Data Complexity in Qualitative Research: An Electro-Electronics Case Study

2014 ◽  
Vol 988 ◽  
pp. 526-529
Author(s):  
Fernanda Perreira Lopes ◽  
Adriana de Paula Lacerda Santos ◽  
Nicolle Christine Sotsek
Keyword(s):  
Qualitative Research ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Complex Variables ◽  
Metropolitan Region ◽  
Economic Sustainability ◽  
Production Area ◽  
The City

The objective of this paper was to show that the Principal Component Analysis (PCA) quantitative technique is capable of grouping complex variables in correlation groups from qualitative research. Thus, the study proposes a set of indicators for evaluating the production area in electro-electronic transformation industries in the city of Curitiba and Metropolitan Region, under aspects of environmental, social and economic sustainability. By employing the technique, it was observed that the questions were well formulated and truly measured what was proposed by the researchers. However, the way the variables were grouped needs adjustments to facilitate application of the questionnaire and the tabulation and analysis of data.

scholarly journals Performance of steer progeny of sires differing in genetic potential for fatness and meat yield following postweaning growth at different rates. 2. Carcass traits

2009 ◽  
Vol 49 (6) ◽  
pp. 525 ◽  
Author(s):  
W. A. McKiernan ◽  
J. F. Wilkins ◽  
J. Irwin ◽  
B. Orchard ◽  
S. A. Barwick
Keyword(s):  
Production Systems ◽  
Carcass Traits ◽  
Quality Traits ◽  
Muscle Area ◽  
Eye Muscle ◽  
Meat Yield ◽  
Breeding Values ◽  
Genetic Potential ◽  
Estimated Breeding Values ◽  
Selection Of

The steer progeny of sires genetically diverse for fatness and meat yield were grown at different rates from weaning to feedlot entry and effects on growth, carcass and meat-quality traits were examined. The present paper, the second of a series, reports the effects of genetic and growth treatments on carcass traits. A total of 43 sires, within three ‘carcass class’ categories, defined as high potential for meat yield, marbling or both traits, was used. Where available, estimated breeding values for the carcass traits of retail beef yield (RBY%) and intramuscular fat (IMF%) were used in selection of the sires, which were drawn from Angus, Charolais, Limousin, Black Wagyu and Red Wagyu breeds, to provide a range of carcass sire types across the three carcass classes. Steer progeny of Hereford dams were grown at either conventional (slow: ~0.5 kg/day) or accelerated (fast: ~0.7 kg/day) rates from weaning to feedlot entry weight, with group means of ~400 kg. Accelerated and conventionally grown groups from successive calvings were managed to enter the feedlot at similar mean feedlot entry weights at the same time for the 100-day finish under identical conditions. Faster-backgrounded groups had greater fat levels in the carcass than did slower-backgrounded groups. Dressing percentages and fat colour were unaffected by growth treatment, whereas differences in ossification score and meat colour were explained by age at slaughter. There were significant effects of sire type for virtually all carcass traits measured in the progeny. Differences in hot standard carcass weight showed a clear advantage to European types, with variable outcomes for the Angus and Wagyu progeny. Sire selection by estimated breeding values (within the Angus breed) for yield and/or fat traits resulted in expected differences in the progeny for those traits. There were large differences in both meat yield and fatness among the types of greatest divergence in genetic potential for those traits, with the Black Wagyu and the Angus IMF clearly superior for IMF%, and the European types for RBY%. The Angus IMF progeny performed as well as that of the Black Wagyu for all fatness traits. Differences in RBY% among types were generally reflected by similar differences in eye muscle area. Results here provide guidelines for selecting sire types to target carcass traits for specific markets. The absence of interactions between growth and genetic treatments ensures that consistent responses can be expected across varying management and production systems.

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