Follicular development of sows at weaning in relation to estimated breeding value for within-litter variation in piglet birth weight

Birth weight and calving interval are included of productivity traits that can be increased by selection program. However, the standard of desirable birth weight in cattle during the selection program is important to prevent dystocia incident risk. This study was aimed to select Bali cattle (Bos javanicus) based on Estimated Breeding Value of birth weight (EBVBW) and Most Probable Producing Ability of birth weight (MPPABW) and calving interval (MPPACI). Total of 758 records data of BW were collected from Lombok and Sumbawa islands, West Nusa Tenggara Province. Research showed the average of BW in Bali calves were 15.69±1.70 kg (Lombok) and 13.49±1.89 (Sumbawa). The average of CI in Bali cows at both islands were about 385 days. In addition, the heritability (h2) values of BW in both islands was about 0.90. The repeatability (r) values of BW in both islands were about 0.30. Meanwhile, the r value of CI in Sumbawa island was 0.39. The highest of EBVBW for sire was +4.25 kg by bull’s ID: 0838 (Sumbawa). Meanwhile, the highest of EBVBW for calves was +6.07 kg by calf’s ID: 0917 (Sumbawa). The highest of MPPABW was +2.67 kg by cow’s ID: 0872 (Sumbawa). The lowest of MPPACI was -25.70 days by cow’s ID: 02076 (Lombok).

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The effects of birth weight and estimated breeding value for protein deposition on nitrogen efficiency in growing pigs

Journal of Animal Science ◽

10.1093/jas/skab101 ◽

2021 ◽

Author(s):

C M C van der Peet-Schwering ◽

L M G Verschuren ◽

R Bergsma ◽

M S Hedemann ◽

G P Binnendijk ◽

...

Keyword(s):

Birth Weight ◽

Growing Pigs ◽

Nitrogen Efficiency ◽

Breeding Value ◽

Adaptation Period ◽

Targeted Metabolomics ◽

N Retention ◽

Protein Deposition ◽

N Efficiency ◽

Estimated Breeding Value

Abstract The effects of birth weight (BiW) (low BiW (LBW) vs high BiW (HBW)) and estimated breeding value for protein deposition (EBV) (low EBV (LBV) vs high EBV (HBV)) on N retention, N efficiency and concentrations of metabolites in plasma and urine related to N efficiency in growing pigs were studied. At an age of 14 weeks, 10 LBW-LBV (BiW: 1.07 + 0.09 (SD) kg; EBV: -2.52 + 3.97 g/d, compared to an average crossbred pig with a protein deposition of 165 g/d), 10 LBW-HBV (BiW: 1.02 + 0.13 kg; EBV: 10.47 + 4.26 g/d), 10 HBW-LBV (BiW: 1.80 + 0.13 kg; EBV: -2.15 + 2.28 g/d), and 10 HBW-HBV (BiW: 1.80 + 0.15 kg; EBV: 11.18 + 3.68 g/d), male growing pigs were allotted to the experiment. The pigs were individually housed in metabolism cages and were subjected to a N balance study in two sequential periods of 5 d, after a 11-d dietary adaptation period. Pigs were assigned to a protein adequate (A) or protein restricted (R, 70% of A) regime in a change-over design. Pigs were fed 2.8 times the energy requirements for maintenance. Non-targeted metabolomics analyses were performed in urine and blood plasma samples. The N retention (in g/d) was higher in the HBW than in the LBW pigs (P < 0.001). The N retention (in g/(kg BW 0.75.d)) and N efficiency, however, were not affected by BiW of the pigs. The N retention (P = 0.04) and N efficiency (P = 0.04) were higher in HBV than in LVB pigs on the A regime, but were not affected by EBV in pigs on the R regime. Restricting the dietary protein supply with 30% decreased the N retention (P < 0.001) but increased the N efficiency (P = 0.003). Non-targeted metabolomics showed that a hexose, free amino acids (AA) and lysophosphatidylcholines were the most important metabolites in plasma for the discrimination between HBV and LBV pigs, whereas metabolites of microbial origin contributed to the discrimination between HBV and LBV pigs in urine. This study shows that BiW does not affect N efficiency in later life of pigs. Nitrogen efficiency and N retention were higher in HBV than in LBV pigs on the A regime, but similar in HBV and LBV pigs on the R regime. In precision feeding concepts aiming to further optimize protein and AA efficiency in pigs, the variation in EBV for protein deposition of pigs should be considered as a factor determining N retention, growth performance and N-efficiency.

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45 A permutation test for validation of genomic estimated breeding values

Journal of Animal Science ◽

10.1093/jas/skaa278.016 ◽

2020 ◽

Vol 98 (Supplement_4) ◽

pp. 8-9

Author(s):

Zahra Karimi ◽

Brian Sullivan ◽

Mohsen Jafarikia

Keyword(s):

Permutation Test ◽

Breeding Value ◽

Small Data ◽

Data Sets ◽

Type I ◽

Future Performance ◽

Small Data Sets ◽

Estimated Breeding Value ◽

Estimated Breeding Values ◽

Top 40

Abstract Previous studies have shown that the accuracy of Genomic Estimated Breeding Value (GEBV) as a predictor of future performance is higher than the traditional Estimated Breeding Value (EBV). The purpose of this study was to estimate the potential advantage of selection on GEBV for litter size (LS) compared to selection on EBV in the Canadian swine dam line breeds. The study included 236 Landrace and 210 Yorkshire gilts born in 2017 which had their first farrowing after 2017. GEBV and EBV for LS were calculated with data that was available at the end of 2017 (GEBV2017 and EBV2017, respectively). De-regressed EBV for LS in July 2019 (dEBV2019) was used as an adjusted phenotype. The average dEBV2019 for the top 40% of sows based on GEBV2017 was compared to the average dEBV2019 for the top 40% of sows based on EBV2017. The standard error of the estimated difference for each breed was estimated by comparing the average dEBV2019 for repeated random samples of two sets of 40% of the gilts. In comparison to the top 40% ranked based on EBV2017, ranking based on GEBV2017 resulted in an extra 0.45 (±0.29) and 0.37 (±0.25) piglets born per litter in Landrace and Yorkshire replacement gilts, respectively. The estimated Type I errors of the GEBV2017 gain over EBV2017 were 6% and 7% in Landrace and Yorkshire, respectively. Considering selection of both replacement boars and replacement gilts using GEBV instead of EBV can translate into increased annual genetic gain of 0.3 extra piglets per litter, which would more than double the rate of gain observed from typical EBV based selection. The permutation test for validation used in this study appears effective with relatively small data sets and could be applied to other traits, other species and other prediction methods.

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A method for reducing inbreeding with Best Linear Unbiased Prediction

Proceedings of the British Society of Animal Production (1972) ◽

10.1017/s030822960002362x ◽

1993 ◽

Vol 1993 ◽

pp. 33-33

Author(s):

B Grundy ◽

WG Hill

Keyword(s):

Best Linear Unbiased Prediction ◽

Breeding Value ◽

Best Linear Unbiased Predictor ◽

Linear Unbiased Prediction ◽

Genetic Merit ◽

Selection Decisions ◽

Best Linear Unbiased ◽

Estimated Breeding Value ◽

Commercial Environment ◽

Unbiased Prediction

An optimum way of selecting animals is through a prediction of their genetic merit (estimated breeding value, EBV), which can be achieved using a best linear unbiased predictor (BLUP) (Henderson, 1975). Selection decisions in a commercial environment, however, are rarely made solely on genetic merit but also on additional factors, an important example of which is to limit the accumulation of inbreeding. Comparison of rates of inbreeding under BLUP for a range of hentabilities highlights a trend of increasing inbreeding with decreasing heritability. It is therefore proposed that selection using a heritability which is artificially raised would yield lower rates of inbreeding than would otherwise be the case.

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Use of estimated breeding value microcomputer programs to improve pork production efficiency

Computers and Electronics in Agriculture ◽

10.1016/0168-1699(91)90023-3 ◽

1991 ◽

Vol 6 (1) ◽

pp. 63-69 ◽

Cited By ~ 1

Author(s):

A.P. Schinckel

Keyword(s):

Production Efficiency ◽

Breeding Value ◽

Pork Production ◽

Estimated Breeding Value

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Application of selection index method to combine two generations of estimated breeding value in pigs.

Nihon Yoton Gakkaishi ◽

10.5938/youton.26.188 ◽

1989 ◽

Vol 26 (3) ◽

pp. 188-196

Author(s):

Hiroshi TAKAHASHI ◽

Takashige SUGIMOTO ◽

Akio NIBE ◽

Allan SCHINCKEL ◽

Yasuo AMEMIYA

Keyword(s):

Selection Index ◽

Breeding Value ◽

Index Method ◽

Two Generations ◽

Estimated Breeding Value

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Maternal birth weight breeding value as an additional factor to predict calf birth weight in beef cattle.

Journal of Animal Science ◽

10.2527/2000.78121x ◽

2000 ◽

Vol 78 (1) ◽

pp. 21 ◽

Cited By ~ 3

Author(s):

L E Lykins ◽

J K Bertrand ◽

J F Baker ◽

T E Kiser

Keyword(s):

Birth Weight ◽

Beef Cattle ◽

Breeding Value

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Genomic prediction of weight and wool traits in a multi-breed sheep population

Animal Production Science ◽

10.1071/an13129 ◽

2014 ◽

Vol 54 (5) ◽

pp. 544 ◽

Cited By ~ 4

Author(s):

N. Moghaddar ◽

A. A. Swan ◽

J. H. J. van der Werf

Keyword(s):

Genomic Prediction ◽

Pearson Correlation ◽

Reference Population ◽

Breeding Value ◽

Genomic Relationship Matrix ◽

Relationship Matrix ◽

Sheep Population ◽

Australian Sheep ◽

Estimated Breeding Value ◽

Breed Sheep

The objective of this study was to predict the accuracy of genomic prediction for 26 traits, including weight, muscle, fat, and wool quantity and quality traits, in Australian sheep based on a large, multi-breed reference population. The reference population consisted of two research flocks, with the main breeds being Merino, Border Leicester (BL), Poll Dorset (PD), and White Suffolk (WS). The genomic estimated breeding value (GEBV) was based on GBLUP (genomic best linear unbiased prediction), applying a genomic relationship matrix calculated from the 50K Ovine SNP chip marker genotypes. The accuracy of GEBV was evaluated as the Pearson correlation coefficient between GEBV and accurate estimated breeding value based on progeny records in a set of genotyped industry animals. The accuracies of weight traits were relatively low to moderate in PD and WS breeds (0.11–0.27) and moderate to relatively high in BL and Merino (0.25–0.63). The accuracy of muscle and fat traits was moderate to relatively high across all breeds (between 0.21 and 0.55). The accuracy of GEBV of yearling and adult wool traits in Merino was, on average, high (0.33–0.75). The results showed the accuracy of genomic prediction depends on trait heritability and the effective size of the reference population, whereas the observed GEBV accuracies were more related to the breed proportions in the multi-breed reference population. No extra gain in within-breed GEBV accuracy was observed based on across breed information. More investigations are required to determine the precise effect of across-breed information on within-breed genomic prediction.

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Effects of growth path, sire type, calving time and sex on growth and carcass characteristics of beef cattle in the agricultural area of Western Australia

Animal Production Science ◽

10.1071/ea08180 ◽

2009 ◽

Vol 49 (6) ◽

pp. 504 ◽

Cited By ~ 12

Author(s):

B. L. McIntyre ◽

G. D. Tudor ◽

D. Read ◽

W. Smart ◽

T. J. Della Bosca ◽

...

Keyword(s):

Slow Growth ◽

Carcass Characteristics ◽

Fast Growth ◽

Carcass Weight ◽

Breeding Value ◽

Growth Path ◽

High Quality ◽

Fat Thickness ◽

Estimated Breeding Value ◽

The Imf

Growth, carcass characteristics and meat quality of the steer and heifer progeny of autumn (AC: March–April) and winter (WC: June–July) calving cows following weaning in January in each of 3 years (2003–05) were measured. The cows were mated to sires with a high estimated breeding value for either retail beef yield (RBY), intramuscular fat (IMF) or both RBY and IMF. After weaning, the progeny entered one of three growth paths until slaughter at an average steer liveweight of 500 kg: (i) fast – fast growth from weaning on a high concentrate feedlot diet; (ii) slow – slow growth from weaning (~0.6 kg/day) to 400 kg liveweight followed by growth at over 1 kg/day on high quality pasture; or (iii) comp. – 10% weaning weight loss, immediately after weaning followed by compensatory or rapid growth of over 1 kg/day on high quality pasture. Steers on the fast growth path had higher (P < 0.001) P8 fat thickness than those on the slow or comp. growth paths whereas heifers on the fast growth path only had higher (P < 0.001) P8 fat thickness than those on the slow growth path. Animals on the fast growth treatment had higher (P < 0.001) levels of IMF% than the slow animals which were higher (P < 0.001) than the comp. growth treatment. AUS-MEAT and US marbling scores were not different among growth paths. Animals finished on the fast growth path had a lower (P < 0.001) RBY% than those on either the slow or comp. growth paths. The RBY-sired progeny had higher (P < 0.001) finishing liveweight and hot standard carcass weight than either RBY and IMF or IMF-sired animals. IMF-sired progeny had higher (P < 0.01) rib fat thickness than either RBY or RBY- and IMF-sired animals. There was also a similar trend for P8 fat thickness but the effects were not significant. The RBY-sired animals had lower AUS-MEAT marbling scores (P < 0.01), US marbling scores (P < 0.001) and levels of IMF% (P < 0.01) than either of the other two sire treatments. RBY-sired animals also had higher (P < 0.001) estimated RBY% than those from the IMF sires while those by RBY and IMF sires were intermediate and not significantly different from either. Calving time had little influence on most carcass characteristics. However, WC animals tended to be fatter and have higher marbling scores than AC animals. The IMF% was higher (P < 0.01) in WC animals from RBY and IMF sires than in the corresponding AC animals. Heifers had lighter slaughter liveweight, carcass weight, were fatter and had higher marbling scores than steers. Heifers also had lower (P < 0.001) RBY% than the steers. Ossification scores for heifers were higher (P < 0.001) than for steers by ~30 units in AC calves and by 20 units in WC calves. The results of this experiment confirm the effectiveness of using sires with high estimated breeding value for the required characteristics in producing the desired improvements in the progeny. The absence of any interactions of sire type with growth path indicates that differences between sire types will be similar regardless of environmental conditions. Animals raised on a faster growth path after weaning produce carcasses with more fat and more IMF% than those grown on slower growth paths.

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