22 results on '"Wilson-Wells, Danielle"'
Search Results
2. 224 Average Daily Feed Intake in Previous Lactations is Associated with Subsequent Reproductive Performance in Sows
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Magallón, Pablo, primary, Wilson-Wells, Danielle, additional, Ros, Maria, additional, Lopez, Adrian, additional, Blanco, Patricia, additional, Sala, Rúben, additional, Shevchenko, Serhii, additional, Lara, José Manuel, additional, Fernández, Pilar, additional, Van De Stroet, Denise, additional, Calderon Diaz, Julia A, additional, Montoro, Jordi Camp, additional, and Huerta, Isaac, additional
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- 2023
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3. 129 Effects of Standardized Ileal Digestible Lysine on Growth Performance of 12- to 136-kg PIC Line 800-Sired Pigs
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Gaffield, Katelyn, primary, Tokach, Mike D, additional, Woodworth, Jason C, additional, DeRouchey, Joel M, additional, Goodband, Robert D, additional, Gebhardt, Jordan T, additional, Vier, Carine M, additional, Spindler, Matthew, additional, Orlando, Uislei A, additional, Zaragoza, Luis E, additional, Lu, Ning, additional, Cast, Wayne R, additional, Wilson-Wells, Danielle, additional, Holen, Julia, additional, and Betlach, Alyssa, additional
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- 2023
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4. Effects of Standardized Ileal Digestible Threonine to Lysine Ratio on Growth Performance of PIC Line 337 × 1050 Pigs
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Royall, Rafe Q., primary, Tokach, Mike D., additional, Woodworth, Jason C., additional, DeRouchey, Joel M., additional, Goodband, Robert D., additional, Gebhardt, Jordan T., additional, Vier, Carine M., additional, Spindler, Matthew, additional, Orlando, Uislei, additional, Zaragoza, Luis, additional, Lu, Ning, additional, Cast, Wayne, additional, Wilson-Wells, Danielle F., additional, Holen, Julia P., additional, and Betlach, Alyssa M., additional
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- 2023
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5. Effects of Feeding Increasing Standardized Ileal Digestible Lysine on Growth Performance of 26- to 300-lb PIC Line 800-Sired Pigs
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Gaffield, Katelyn N., primary, Tokach, Mike D., additional, Woodworth, Jason C., additional, DeRouchey, Joel M., additional, Goodband, Robert D., additional, Gebhardt, Jordan T., additional, Vier, Carine M., additional, Spindler, Matthew, additional, Orlando, Uislei, additional, Zargoza, Luis, additional, Lu, Ning, additional, Cast, Wayne, additional, Wilson-Wells, Danielle F., additional, Holen, Julia P., additional, and Betlach, Alyssa M., additional
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- 2022
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6. 200 Effects of zinc oxide removal and different nutritional plans on the growth performance, health, and behavior of nursery pigs from different genetic lines
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Moita, Vitor, Camp, Jordi, Vier, Carine M, Cast, Wayne R, Dritz, Steve, Zaragoza, Luis E, Wilson-Wells, Danielle, Lu, Ning, Orlando, Weasley A, Landero, Jose, and Young, Malachy
- Abstract
This study was conducted to investigate the impacts of the removal of zinc oxide (ZnO) supplemented at pharmaceutical levels and different nutritional plans on the growth performance, health, and behavior of nursery pigs from different genetic sire lines. A total of 1,440 newly weaned barrows and gilts were housed into nursery pens with 30 pigs/pen (0.25m2/pig). Pigs were assigned to eight groups following a randomized complete block design arranged on a 2 x 2 x 2 factorial arrangement [Genetic sire line: PIC 337 or PIC 800; ZnO supplementation: 0 or 2,500 ppm; nutritional plan: Control (PIC recommendation) or Treatment (TRT)]. Pigs were fed in three dietary phases (P1:7 d; P2: 21 d; P3: 21 d). The nutrient levels of the TRT for each phase consisted of reduced crude protein (P1: 21 vs. 18.43%; P2: 20.80 vs. 18.73%), SID Lys (P1: 1.40 vs. 1.20%; P2: 0.35 vs. 1.20%), net energy (P1: 2,450 vs. 2,352 kcal/kg; P2: 2,450 vs. 2,377 kcal/kg) and lactose levels (P1: 15 vs. 7%; P2: 7 vs. 5%), and use of calcium formate instead of calcium carbonate for both P1 and P2, and pigs receiving the same diet in P3. Health and behavior were assessed through ear lesion (weekly during P3) and fecal (weekly during P1 and P2) scoring, mortality/removals, and medication control. Growth performance was assessed by individually weighing pigs and recording feed disappearance every week throughout the experimental period. Data were analyzed using a generalized linear model considering pen as the experimental unit. Models included treatments and their interactions as fixed effects, and block and pen within block as the random terms. Pigs fed ZnO showed greater (P< 0.05) overall average daily gain (ADG; 495 vs. 456 g/d) and average daily feed intake (ADFI; 681 vs. 633 g/d); and decreased (P< 0.05) diarrhea incidence (DI; 3.64 vs 10.21%) at d 14 after weaning and mortality/removals (2.31 vs. 5.11%) compared with pigs fed no ZnO. No significant differences were detected between the nutritional plans for performance traits (P> 0.05); however, pigs fed the TRT had less (P< 0.05) DI (7.54 vs. 11.43%) at d 7 after weaning than pigs fed the control nutrition plan. Regarding the genetic sire lines, PIC 337 pigs showed greater (P< 0.05) overall body weight (26.1 vs. 25.4 kg), ADG (486 vs. 465 g/d) and ADFI (666 vs. 648 g/d); and decreased (P< 0.05) mortality/removals (2.54 vs. 4.66%) and DI (6.92 vs. 12.41%) at d 7 after weaning compared with PIC 800 pigs. In summary, PIC 337 pigs fed ZnO under the control nutritional program showed greater growth performance during the nursery period. This study reaffirmed the benefits of ZnO fed to nursery pigs during the post-weaning period; however, since different countries are banning or reducing the use of ZnO, nutritional strategies should be considered to not negatively impact the health and subsequent performance of nursery pigs.
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- 2024
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7. 24 Effects of reducing dietary net energy on growth performance and carcass characteristics of grow-finish pigs
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Royall, Rafe Q, Tokach, Mike D, Woodworth, Jason C, DeRouchey, Joel M, Goodband, Robert D, Gebhardt, Jordan T, Vier, Carine M, Spindler, Matthew, Orlando, Weasley A, Zaragoza, Luis E, Lu, Ning, Cast, Wayne R, Wilson-Wells, Danielle, Dritz, Steve, Camp, Jordi, Holen, Julia, and Betlach, Alyssa
- Abstract
This study was conducted to evaluate the effects of dietary NE on growth performance, carcass characteristics, and removal and mortality rates of grow-finish pigs. A total of 1,927 pigs [initial body weight (BW) 23.3 ± 0.23 kg] were used in a 125-d study. Pens of pigs were blocked by BW and randomly allotted to dietary treatments in a randomized complete block design with 23 to 26 pigs/pen and 15 replications/treatment. Pens received 1 of 5 diets with decreasing NE based on Eq. 1-8 NRC (2012) using proximate analysis of the major ingredients. A corn-soybean meal-based control diet was blended with a low energy diet that contained 8% less NE through inclusion of 25% wheat middlings and 15% DDGS (6% oil) to achieve intermediate NE levels. Thus, dietary NE fed through 5 dietary phases were: phase 1 (2,432, 2,383, 2,335, 2,286, and 2,237 kcal/kg); phase 2 (2,463, 2,413, 2,363, 2,315, and 2,266 kcal/kg); phase 3 (2,495, 2,445, 2,395, 2,345, and 2,295); phase 4 (2,518, 2,468, 2,417, 2,367, and 2,317 kcal/kg); and phase 5 (2,537, 2,486, 2,435, 2,384, 2,334 kcal/kg). Dietary phases were fed from approximately 23-40, 40-60, 60-80, 80-105, and 105-133 kg BW, respectively. Overall, reducing NE decreased (linear, P< 0.001) average daily gain (ADG) and final BW and increased (linear, P< 0.001) average daily feed intake (ADFI), resulting in decreased (linear, P< 0.001) gain to feed ratio (G:F; Table). Decreasing NE also tended to increase (linear, P= 0.073) the percentage of removals, with no evidence of difference (P> 0.10) in mortality. Reducing NE worsened (linear, P< 0.001) caloric efficiency (CE) based on NRC nutrient loading values, but improved (linear, P≤ 0.003) CE based on INRA (2008) or Brazilian Tables for Poultry and Swine (2017) nutrient loading values. When formulating diets using CVB (2021) nutrient loading values, decreasing NE did not influence CE (P> 0.10). For carcass characteristics, decreasing NE decreased (linear, P< 0.001) HCW, backfat depth, and carcass yield. However, decreasing NE increased (linear, P≤ 0.024) loin depth and percentage lean. When considering CE on a carcass gain basis, decreasing NE worsened (linear, P≤ 0.004) CE based on NRC or CVB nutrient loading values, but improved (linear, P< 0.001) CE based on INRA nutrient loading values. Decreasing NE resulted in no differences (P> 0.010) in CE based on Brazilian Tables nutrient loading values. These results suggest that the NRC database overestimates NE contributions of fibrous ingredients, such as wheat middlings and corn DDGS, while the INRA database underestimates their contributions to NE, whether CE is calculated based on live or carcass gain. Meanwhile, NE values in the CVB database appear to assess nutrient values more accurately for NE based on live gain but underestimate their value on a carcass basis. The Brazilian tables appear to underestimate the contributions of fibrous ingredients to dietary NE on a live basis, but more accurately value their contributions on a carcass basis.
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- 2024
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8. 28 Investigation of protein deposition pattern of PIC337×Camborough commercial pigs
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Lu, Ning, Zeng, Nanfang, Su, Ning, Chen, Ling, Chen, Jie, Vier, Carine M, Cast, Wayne R, Dritz, Steve, Wilson-Wells, Danielle, Zaragoza, Luis E, Camp, Jordi, and Orlando, Weasley A
- Abstract
The objective of the trial was to investigate the protein deposition pattern of PIC337×Camborough commercial pigs. A total of 1,064 barrows and gilts [PIC337×Camborough, initial body weight (BW) = 6.0 ± 0.1 kg] were used in the trial with 38 mixed sex pens, 28 pigs per pen. At the beginning of the trial, the lightest 10% of the barrows and gilts were selected and placed in four pens (equal numbers of barrows and gilts within a pen), and the remaining pigs were randomly placed into the other pens (equal numbers of barrows and gilts within a pen). A common 6-phase corn-soybean based wean-to-finish diets were fed throughout the trial. Dietary net energy and standardized ileal digestible lysine levels were (6-10 kg BW: 2,600 Kcal/kg and 1.35%; 10-20 kg BW: 2,520 Kcal/kg and 1.30%; 20-38 kg BW: 2,470 Kcal/kg and 1.20%; 38-72 kg BW: 2,450 Kcal/kg and 0.98%; 72-127 kg BW: 2,450 Kcal/kg and 0.87%; and 127-149 kg BW: 2,450 Kcal/kg and 0.77%). On d 97 after placement, 5 barrows and 5 gilts with BW close to pen average were selected for individual BW by a portable scale and 10thrib backfat and loin depth measurements (ExaGo portable ultrasound scanner, Imv imaging, UK). Then on d 111, 117, 136, 142, and 167 after placement, the same 5 barrows and 5 gilts were measured for individual BW, 10thrib backfat and loin depth. The fat-free lean mass is estimated by the equation 6.783-0.6198×(10thrib backfat depth, mm)+0.1578×(10thrib loin depth, mm)+1.0362×(warm carcass weight, kg). A constant carcass yield of 75% was used to estimate warm carcass weight. Data were analyzed using a linear mixed model in R Studio (Version 3.5.2, R Core Team; Vienna, Austria). The average BW of pigs at the 6 measurements were: 77.2, 92.4, 99.2, 122.5, 128.0, and 153.6 kg, respectively. The average daily gain (ADG) was 1,139, 1,155, 1,145, 1,126, and 977 g/d for 77.2 to 92.4 kg BW, 92.4 to 99.2 kg BW, 99.2 to 122.5 kg BW, 122.5 to 128.0 kg BW, and 128.0 to 153.6 kg BW, respectively. The average daily 10thrib backfat depth gain was 0.05, 0.08, 0.15, 0.17, and 0.20 mm/d. The average daily 10thrib loin depth gain was 0.42, 0.43, 0.41, 0.39, and 0.23 mm/d. The average daily fat-free lean mass gain (ADFFLG) was 547, 551, 528, 515, and 422 g/d. The fitted quadratic model for ADG is 83.57782 + 19.90632 × (BW, kg)-0.09176×(BW, kg)2, and the calculated maximum ADG was 1,163 g/d when BW was 108.5 kg. The fitted quadratic model for ADFFLG is 85.90926 + 9.23773 × (BW, kg) - 0.04591 × (BW, kg)2, and the calculated maximum ADFFLG is 550.6 g/d when BW was 100.6 kg. Under the conditions of the current trial, PIC337×Camborough pigs reaches the maximum rate of protein deposition at BW between 100.6 and 108.5 kg.
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- 2024
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9. 30 Effects of using different dietary standardized ileal digestible lysine plans on growth performance and carcass characteristics of grow-finish pigs from high or low breeding value boars
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Camp, Jordi, Vier, Carine M, Spindler, Matthew, Holen, Julia, Orlando, Weasley A, Betlach, Alyssa, Cast, Wayne R, Dritz, Steve, Wilson-Wells, Danielle, Lu, Ning, and Zaragoza, Luis E
- Abstract
The present study aimed to evaluate the impact of using different dietary standardized ileal digestible (SID) lysine (Lys) plans on growth performance and carcass characteristics of grow-finish pigs coming from high or low breeding value boars. A total of 2,080 pigs (PIC 800 × PIC Camborough) were housed in 20 mixed sex pens (26 pigs/pen), blocked by body weight (BW), and randomly allotted in a 2 × 2 factorial arrangement with boar breeding value (high or low) and nutrition Lys plan (current SID Lys curve recommendation for PIC 800 as % of PIC 337 SID Lys curve or alternative SID Lys curve). Pigs were weaned at 21 d of age (6.1 ± 0.05 kg BW) and followed during the wean-to-finish period until reach the market slaughter weight. Pigs were fed either the current recommendation or an alternative SID Lys curve for PIC 800, in a 6 phase feeding program: phase 1 (6-11 kg; 100 vs 100%, respectively); phase 2 (11-23 kg; 97 vs 100%, respectively); phase 3 (23-45 kg; 97 vs 100%, respectively); phase 4 (45-73 kg; 97 vs 95%, respectively); phase 5 (73-102 kg; 97 vs 95%, respectively); and phase 6 (102-132 kg; 97 vs 90%, respectively). Pigs were fed isoenergetic diets. Performance and carcass traits, and removals and mortality were recorded. Data were analyzed using mixed models in R, and considering pen as the experimental unit for performance traits and individual carcasses for carcass traits. There was no evidence of interaction between boar breeding value and nutrition plan factors. Overall, high breeding value pigs had greater average daily gain (ADG; 0.84 ± 0.005 g/d) compared with low breeding value pigs (0.82 ± 0.005 kg/d; P< 0.01), which was driven by increased average daily feed intake (ADFI; 1.92 ± 0.011 and 1.89 ± 0.011 kg/d, respectively; P< 0.05; Table 1). Moreover, high breeding value pigs had greater hot carcass weight (HCW; 97.8 ± 1.09 kg), carcass yield (74.1 ± 0.23%), backfat thickness (16.3 ± 0.29 mm) and lower lean meat % (57.0 ± 0.21%) compared with low breeding value pigs (96.0 ± 1.09 kg; 73.7 ± 0.23 %; 15.4 ± 0.28; 57.5 ± 0.21%, respectively; P< 0.05; Table 1). Regarding nutrition plan, no significant differences were observed for overall performance traits between pigs fed the current or alternative SID Lys curve (P> 0.05; Table 1). Nevertheless, pigs fed the alternative SID Lys curve had heavier HCW (97.3 ± 1.09 kg) compared with pigs fed the current SID Lys curve (96.6±1.09 kg; P< 0.05; Table 1). No significant differences were observed for overall removals and mortality by breeding value or nutrition Lys plan (P> 0.05). In summary, grow finish pigs from high breeding value boars have an improved productive performance. PIC 800 pigs may achieve the same productive performance with lower lysine levels at the end of the grow-finish period.
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- 2024
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10. 29 Effects of using different dietary standardized ileal digestible lysine plans on growth performance and carcass characteristics of PIC 337 or PIC 800 sired grow-finish pigs
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Camp, Jordi, Orlando, Weasley A, Lu, Ning, Vier, Carine M, Cast, Wayne R, Dritz, Steve, Zaragoza, Luis E, Wilson-Wells, Danielle, Landero, Jose, and Young, Malachy
- Abstract
The present study aimed to evaluate the impact of using different dietary standardized ileal digestible (SID) lysine (Lys) plans on growth performance of PIC 337 and PIC 800 sired grow-finish pigs. A total of 2,016 gilts and barrows were placed in 2 separate rooms with 48 single sex pens each (21 pigs/pen; 0.69 m2/pig). Pens were blocked by body weight (BW) and randomly allotted in a 2 × 2 × 2 factorial arrangement with genetic line (PIC 337 or 800), sex (barrows or gilts), and nutrition plan (current SID Lys curve recommendation for PIC 800 as % of PIC 337 SID Lys curve or alternative SID Lys curve) as factors. Pigs (27.4 ± 1.41 kg BW) were followed during the grower-finisher phase until slaughter. Pigs were fed either the current recommendation or an alternative SID Lys curve for PIC 800, in a 5 phase feeding program: phase 1 (23-40 kg; 97 vs 100%, respectively); phase 2 (40-60 kg; 97 vs 95%, respectively); phase 3 (60-80 kg; 97 vs 95%, respectively); phase 4 (80-105 kg; 97 vs 95%, respectively); and phase 5 (105-135 kg; 97 vs 90%, respectively). Pigs were fed isoenergetic diets. Performance and carcass traits, and removals and mortality were recorded. Data were analyzed using mixed models in R, and considering pen as the experimental unit for performance traits and individual carcasses for carcass traits. There was no evidence of interaction between genetic line and nutrition plan factors. Overall, PIC 337 vs 800 pigs did not differ on average daily gain (ADG; P> 0.05), but PIC 337 pigs consumed 150 g/d less and were 0.1 more feed efficient than PIC 800 pigs (P< 0.05; Table 1). Moreover, PIC 337 pigs had 1.9 kg less of hot carcass weight, but 2.1 mm more of loin depth compared with PIC 800 pigs (P< 0.05; Table 1). Regarding nutrition plan, no significant differences were observed for overall performance and carcass traits between pigs fed the current or alternative SID Lys curve (P> 0.05; Table 1). Additionally, no significant differences were observed for overall removals and mortality by genetic line or nutrition plan (P> 0.05; Table 1). In summary, different genetic sire line (PIC 337 and PIC 800) differed on performance and carcass traits. Further research is needed to continue studying the genetic evolution and nutrition plan for each genetic sire line in the grower-finisher period to understand their nutrient requirements.
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- 2024
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11. 229 Effects of sire line on survivability traits of commercial pigs sired by PIC 800 or a North American competitor Duroc Line from birth to market
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Spath, Isaiah T, Little, Erin, Edler, Roy, Zaragoza, Luis E, Wuebker, Michelle, Spindler, Matthew, and Wilson-Wells, Danielle
- Abstract
This study aimed to evaluate differences in survivability traits on pigs originating from two sire lines from birth to market. A total of 28,426 commercial pigs sired by either PIC 800 boars (n = 13,960 pigs) or a North American competitor Duroc line (Sire A; n = 14,466 pigs) were used in this study. PIC Camborough sows from 2 sister-sow farms were bred using semen from both genetic lines was mated equally and randomly across sows to ensure sire lines and parity of dams were balanced across farms. Pigs were individually identified at birth by genetic line and cross-fostering was done following standard farm practices. At weaning (average wean age 22 d of age, average body weight 6.8kg), pigs from both lines were sent to nurseries or Wean-to-finish sites (n = 11,541 PIC 800 and n = 11,922 Sire A), comingling in the same barns and pens. Starting inventories for each genetic line were recorded at weaning for all sites, end of nursery (4 wk post weaning), and 1 to 2 wk before start of marketing (target market weight 127kg at 160 d of age). For each production period, information on mortality and morbidity traits (n = 10,600 PIC 800 and n = 10,974 Sire A) was collected. Data were analyzed using R separately for each production period (i.e., Pre-weaning, Grow-to-finish, and Wean-to-finish) and not pooled from birth to market due to some groups not being kept intact. Morbidity and mortality data were analyzed using binomial models with a fixed effect of sire line and a random effect of sow farm or nursery/wean-to-finish site for pre-wean traits or post-weaning traits, respectively. Pigs from farms without removal reason record were excluded from analysis of removal reasons (Table 1). Overall pre-wean mortality was less (P≤ 0.05) for PIC 800 pigs than Sire A pigs (8.5 vs. 9.6%, for PIC 800 and Sire A, respectively), mostly due to having fewer (P≤ 0.05) pigs laid-on (4.8 vs 5.9%, respectively). At 4 wk post weaning, PIC 800 pigs had less (P≤ 0.05) fallout rate than Sire A pigs (2.5 vs 3.5%, for PIC 800 and Sire A, respectively), with no differences (P> 0.05) in mortality rate (1.2 vs 1.3%, respectively). Grow-to-finish morbidity and mortality rates were less (P≤ 0.05) for PIC 800 (2.1 and 1.3%, for morbidity and mortality rates, respectively) compared with Sire A (2.5 and 1.8%, respectively). Likewise, wean-to-finish morbidity and mortality rates were less (P≤ 0.05) for PIC 800 (2.5 and 3.7%, for morbidity and mortality rates, respectively) compared with Sire A (3.0 and 4.7%, respectively). Results suggest PIC 800 sired pigs consistently had lower incidence of morbidity and mortality than Sire A pigs across all stages of production included in this study.
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- 2024
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12. The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction
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Howard, Jeremy T., Rathje, Tom A., Bruns, Caitlyn E., Wilson-Wells, Danielle F., Kachman, Stephen D, Spangler, Matthew L., Howard, Jeremy T., Rathje, Tom A., Bruns, Caitlyn E., Wilson-Wells, Danielle F., Kachman, Stephen D, and Spangler, Matthew L.
- Abstract
Across the majority livestock species, routinely collected genomic and pedigree information has been incorporated into evaluations using single-step methods. As a result, strategies that reduce genotyping costs without reducing the response to selection are important as they could have substantial economic impacts on breeding programs. Therefore, the objective of the current study was to investigate the impact of selectively genotyping selection candidates on the selection response using simulation. Populations were simulated to mimic the genome and population structure of a swine and cattle population undergoing selection on an index comprised of the estimated breeding values (EBV) for 2 genetically correlated quantitative traits. Ten generations were generated and genotyping began generation 7. Two phenotyping scenarios were simulated that assumed the first trait was recorded early in life on all individuals and the second trait was recorded on all versus a random subset of the individuals. The EBV were generated from a bivariate animal model. Multiple genotyping scenarios were generated that ranged from not genotyping any selection candidates, a proportion of the selection candidates based on either their index value or chosen at random, and genotyping all selection candidates. An interim index value was utilized to decide who to genotype for the selective genotype strategy. The interim value assumed only the first trait was observed and the only genotypic information available was on animals in previous generations. Within each genotyping scenario 25 replicates were generated. Within each genotyping scenario the mean response per generation and the degree to which EBV were inflated/deflated was calculated. Across both species and phenotyping strategies, the plateau of diminishing returns was observed when 60% of the selection candidates with the largest index values were genotyped. When randomly genotyping selection candidates, either 80 or 100% of the selection
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- 2019
13. The impact of truncating data on the predictive ability for single-step genomic best linear unbiased prediction
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Howard, Jeremy T., Rathje, Thomas A., Bruns, Caitlyn E., Wilson-Wells, Danielle F., Kachman, Stephen D, Spangler, Matthew L, Howard, Jeremy T., Rathje, Thomas A., Bruns, Caitlyn E., Wilson-Wells, Danielle F., Kachman, Stephen D, and Spangler, Matthew L
- Abstract
Simulated and swine industry data sets were utilized to assess the impact of removing older data on the predictive ability of selection candidate estimated breeding values (EBV) when using single-step genomic best linear unbiased prediction (ssGBLUP). Simulated data included thirty replicates designed to mimic the structure of swine data sets. For the simulated data, varying amounts of data were truncated based on the number of ancestral generations back from the selection candidates. The swine data sets consisted of phenotypic and genotypic records for three traits across two breeds on animals born from 2003 to 2017. Phenotypes and genotypes were iteratively removed 1 year at a time based on the year an animal was born. For the swine data sets, correlations between corrected phenotypes (Cp) and EBV were used to evaluate the predictive ability on young animals born in 2016–2017. In the simulated data set, keeping data two generations back or greater resulted in no statistical difference (p-value > 0.05) in the reduction in the true breeding value at generation 15 compared to utilizing all available data. Across swine data sets, removing phenotypes from animals born prior to 2011 resulted in a negligible or a slight numerical increase in the correlation between Cp and EBV. Truncating data is a method to alleviate computational issues without negatively impacting the predictive ability of selection candidate EBV. Includes Supplemental Table S1.
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- 2018
14. The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction
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Howard, Jeremy T., Rathje, Thomas A., Bruns, Caitlyn E., Wilson-Wells, Danielle F., Kachman, Stephen D, Spangler, Matthew L, Howard, Jeremy T., Rathje, Thomas A., Bruns, Caitlyn E., Wilson-Wells, Danielle F., Kachman, Stephen D, and Spangler, Matthew L
- Abstract
Across the majority livestock species, routinely collected genomic and pedigree information has been incorporated into evaluations using single-step methods. As a result, strategies that reduce genotyping costs without reducing the response to selection are important as they could have substantial economic impacts on breeding programs. Therefore, the objective of the current study was to investigate the impact of selectively genotyping selection candidates on the selection response using simulation. Populations were simulated to mimic the genome and population structure of a swine and cattle population undergoing selection on an index comprised of the estimated breeding values (EBV) for 2 genetically correlated quantitative traits. Ten generations were generated and genotyping began generation 7. Two phenotyping scenarios were simulated that assumed the first trait was recorded early in life on all individuals and the second trait was recorded on all versus a random subset of the individuals. The EBV were generated from a bivariate animal model. Multiple genotyping scenarios were generated that ranged from not genotyping any selection candidates, a proportion of the selection candidates based on either their index value or chosen at random, and genotyping all selection candidates. An interim index value was utilized to decide who to genotype for the selective genotype strategy. The interim value assumed only the first trait was observed and the only genotypic information available was on animals in previous generations. Within each genotyping scenario 25 replicates were generated. Within each genotyping scenario the mean response per generation and the degree to which EBV were inflated/deflated was calculated. Across both species and phenotyping strategies, the plateau of diminishing returns was observed when 60% of the selection candidates with the largest index values were genotyped. When randomly genotyping selection candidates, either 80 or 100% of the selection
- Published
- 2018
15. The impact of selective genotyping on the response to selection using single-step genomic best linear unbiased prediction
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Howard, Jeremy T, primary, Rathje, Tom A, additional, Bruns, Caitlyn E, additional, Wilson-Wells, Danielle F, additional, Kachman, Stephen D, additional, and Spangler, Matthew L, additional
- Published
- 2018
- Full Text
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16. The impact of truncating data on the predictive ability for single‐step genomic best linear unbiased prediction
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Howard, Jeremy T., primary, Rathje, Tom A., additional, Bruns, Caitlyn E., additional, Wilson‐Wells, Danielle F., additional, Kachman, Stephen D., additional, and Spangler, Matthew L., additional
- Published
- 2018
- Full Text
- View/download PDF
17. Methods to account for breed composition in a Bayesian GWAS method which utilizes haplotype clusters
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Wilson-Wells, Danielle Faye and Wilson-Wells, Danielle Faye
- Abstract
In livestock, prediction of an animal’s genetic merit using genomic information is becoming increasingly common. The models used to make these predictions typically assume that we are sampling from a homogeneous population. However, in both commercial and experimental populations the sire and dam of an individual may be a mixture of different breeds. Haplotype models can capture this population structure. Two models based on breed specific haplotype clusters where developed to account for differences across multiple breeds. The first model utilizes the breed composition of the individual, while the second utilizes the breed composition from the sire and dam. Haplotype clusters were modeled as hidden states in a hidden Markov model where the genomic effects are associated with loci located on the unobserved clusters. Similar to the Bayes C model, we can model the genomic effects at the loci using a prior, which consists of a mixture of a multivariate normal and a point mass at zero distribution. The performance of the first model will be evaluated in a composite beef cattle population, representing various fractions of several breeds, using five weight traits, seven carcass traits, and two other traits related to calving on 6,552 cattle genotyped for 99,827 mapped SNPs. The performance of the second model will be evaluated in a two-way cross population, which was a cross between two independent lines, using age of puberty records on 1,654 swine genotyped for 48,408 mapped SNPs. Both models will also be evaluated in a simulated composite population of two lines of 12,500 individuals and 61,255 mapped SNPs. Overall, the breed specific haplotype models led to larger and more clearly observed estimated QTL. However, the prediction accuracy for the haplotype models were typically lower than those for the traditional Bayesian GWAS models. Therefore, while our ability to locate QTLs was increased, the traditional models are still the preferred choice for prediction as they
- Published
- 2017
18. Average Daily Feed Intake in Previous Lactations is Associated with Subsequent Reproductive Performance in Sows.
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Magallón, Pablo, Wilson-Wells, Danielle, Ros, Maria, Lopez, Adrian, Blanco, Patricia, Sala, Rúben, Shevchenko, Serhii, Manuel Lara, José, Fernández, Pilar, Van De Stroet, Denise, Calderon Diaz, Julia A., Camp Montoro, Jordi, and Huerta, Isaac
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SWINE breeding , *MILK yield , *SOWS , *LACTATION , *ANIMAL litters , *LUTEINIZING hormone , *PIGLETS , *STILLBIRTH - Abstract
The objective of this study was to investigate the influence of average daily feed intake (ADFI) in previous lactations on subsequent reproductive performance in multiparous sows. Data for this study were collected from 2017 to 2022 at Grangenia, a 2,800 L03 PIC sows farrow-to-wean commercial multiplier from Grupo Kerbest and integrated with Grupo UVESA. The farm is located in Ávila, Spain. In total, data on ADFI during lactation and litter size traits were available for 10,425 sows. Born alive (BA), stillborn (SB) and mummified (MM) piglets were expressed both as total numbers and as percentage from total born (TB) piglets. Sow parity was classified as parity 2, 3, 4 and 5+. Data were analyzed using linear mixed models in R v4.1.2. For all traits, initial models included ADFI for the immediate previous parity as a linear and quadratic predictor. ADFI ranged from 1.3 to 9.6 kg/day. Linear mixed models revealed that ADFI in the previous lactation had a positive linear association (P < 0.001, Table 1) with all studied traits except with BA % and SB % where a quadratic association (P < 0.001) was also observed (quadratic slope = 0.018 ± 0.0044 and - 0.016 ± 0.0051, respectively). Results indicate that on average, sows in the lower ADFI limit would have 2.1 TB, 1.6 BA, 0.13 SB and 0.16 MM less when compared with sows in the upper ADFI limit across all parities. The BA % decreased and SB% increased when ADFI in the previous parity was between 4.5 and 6 kg across all parities. Under the conditions of this study, increasing ADFI in the previous lactation improved subsequent reproductive performance across all parities. It is likely that this effect was at least partly mediated through the greater number of follicles with optimal preovulatory size, luteinizing hormone secretion, ovulation rates, and embryo mortality, although this requires further investigation. A limitation of this study was that it was not possible to elucidate if the observed effect of ADFI in the previous parity was mediated through greater amino acid and/or energy intake due to the observational nature of this study. Nonetheless, our results highlight the importance of optimal sow nutritional management during the lactation period for improved lifetime reproductive performance. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
19. Effects of Standardized Ileal Digestible Threonine to Lysine Ratio on Growth Performance of PIC Line 337-Sired Grow-Finish Pigs.
- Author
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Royall, Rafe Q., Tokach, Mike D., Woodworth, Jason C., DeRouchey, Joel M., Goodband, Robert D., Gebhardt, Jordan T., Vier, Carine M., Spindler, Matthew, Orlando, Uislei A., Zaragoza, Luis E., Ning Lu, Cast, Wayne R., Wilson-Wells, Danielle, Holen, Julia, and Betlach, Alyssa
- Subjects
THREONINE ,SWINE ,SWINE housing ,LYSINE ,BLOCK designs ,BODY weight - Abstract
Two studies were conducted to estimate the SID Thr:Lys requirement for growth and feed efficiency of PIC 337×1050 pigs from approximately 12- to 70-kg. In Exp. 1, 987 pigs [initial body weight (BW) = 11.8±0.32 kg] were used from 12- to 24-kg. In Exp. 2,875 pigs (initial BW = 43.4±0.58 kg] were used from 43- to 70-kg. Pens of pigs were blocked by BW and randomly allotted to dietary treatments in randomized complete block designs, with 21 to 27 pigs per pen with 8 and 7 replications per treatment (Exp. 1 and 2, respectively). Pens were provided 1 of 5 dietary treatments with increasing SID Thr:Lys ratios at 53, 58, 62, 65, and 68% in each experiment. Two corn-soybean meal-based diets containing 53 and 68% Thr:Lys ratios were blended to achieve target SID Thr:Lys treatment levels in each experiment. In Exp. 1 (12- to 24-kg), ADG and final BW increased (linear, P = 0.006) while ADFI, G:F, Thr intake/d, and Thr intake/kg of gain increased (quadratic, P = 0.001) as Thr:Lys ratio increased (Table). Additionally, Lys intake/d increased (quadratic, P < 0.001) while Lys intake/kg of gain decreased (quadratic, P < 0.001) with increasing Thr:Lys ratio. In Exp. 2 (43- to 70-kg), ADG, G:F, final BW, Thr intake/d and Thr intake/kg of gain also increased (linear, P = 0.036) as dietary Thr:Lys increased. Moreover, Lys intake/kg of gain decreased (linear, P = 0.023) with increasing Thr:Lys. A quadratic polynomial (QP) model predicted a requirement at levels greater than 68% SID Thr:Lys for ADG from 12- to 24-kg, while a QP model suggested that maximum G:F was achieved at 61.8% SID Thr:Lys (Exp. 1). From 43- to 70-kg, QP models suggested maximum ADG and G:F were achieved at levels greater than 68% SID Thr:Lys (Exp. 2). However, similar fitting BLL models predicted no further improvement to G:F and ADG beyond 65 and 67% SID Thr:Lys, respectively. In summary, these results suggest the optimal SID Thr:Lys for 12- to 24-kg pigs is 61.8% for feed efficiency and greater than 68% for ADG. From 43- to 70-kg, the requirement was predicted at or above 65 and 67% SID Thr:Lys for G:F and ADG, respectively. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
20. Effects of Standardized Ileal Digestible Lysine on Growth Performance of 12- to 136-kg PIC Line 800-Sired Pigs.
- Author
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Gaffield, Katelyn, Tokach, Mike D., Woodworth, Jason C., DeRouchey, Joel M., Goodband, Robert D., Gebhardt, Jordan T., Vier, Carine M., Spindler, Matthew, Orlando, Uislei A., Zaragoza, Luis E., Ning Lu, Cast, Wayne R., Wilson-Wells, Danielle, Holen, Julia, and Betlach, Alyssa
- Subjects
SWINE breeding ,LYSINE ,SWINE farms ,SWINE housing ,SWINE ,BLOCK designs ,BODY weight ,ECONOMIC expansion - Abstract
The objective of this study was to evaluate growth performance and economic return of PIC 800 × Camborough pigs fed increasing SID Lys from approximately 12- to 136-kg. Pens of pigs were blocked by body weight (BW) and randomly assigned to 1 of 5 dietary treatments in a randomized complete block design with 26 pigs per pen and 16 pens per treatment. Pens were provided 1 of 5 dietary treatments with increasing SID Lys at 85, 93, 100, 107, and 115% of current (2021) PIC recommendations within 6 dietary phases as follows: phase 1 (1.09, 1.19, 1.28, 1.36, and 1.47%), phase 2 (0.97, 1.06, 1.14, 1.22, and 1.32%), phase 3 (0.87, 0.95, 1.02, 1.09, and 1.17%), phase 4 (0.75, 0.82, 0.88, 0.94, and 1.01%), phase 5 (0.66, 0.72, 0.77, 0.82, and 0.89%), and phase 6 (0.59, 0.64, 0.69, 0.74, and 0.79%). Two corn-soybean meal-based diets containing low and high Lys were blended to achieve target SID Lys levels for each treatment diet within phase. Overall (d 0 to 143), increasing SID Lys improved (linear, P = 0.007) ADG and G:F, but did not impact ADFI (P > 0.10; Table). A tendency (linear, P = 0.067) for heavier hot carcass weights (HCW) was observed in pigs fed increasing SID Lys. However, there was no evidence for differences (P > 0.10) in carcass yield, backfat depth, loin depth, or carcass lean percentage across treatments. The linear (LM) model served as the best fit for both growth and economic parameters. The LM model predicted maximum ADG and G:F at levels greater than 115% of PIC's current recommendations. However, for income over feed cost (IOFC), the LM model predicted maximum profitability at or below 85% of the current Lys recommendations of PIC. In conclusion, the optimal SID Lys level for PIC 800 × Camborough pigs from 12- to 136-kg differed upon response criteria, with growth performance maximized at levels at or above 115% of the recommendation for SID Lys by PIC; however, maximal economic returns were observed at or below 85% of PIC's current SID Lys recommendations. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
21. A BAYESIAN GWAS METHOD UTILIZING HAPLOTYPE CLUSTERS FOR A COMPOSITE BREED POPULATION
- Author
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Wilson-Wells, Danielle F., primary and Kachman, Stephen D., additional
- Published
- 2016
- Full Text
- View/download PDF
22. Methods to Account for Breed Composition in a Bayesian GWAS Method which Utilizes Haplotype Clusters
- Author
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Wilson-Wells, Danielle F.
- Subjects
- Bayesian, GWAS, Genomic Prediction, HMM, Applied Statistics, Genomics
- Abstract
In livestock, prediction of an animal’s genetic merit using genomic information is becoming increasingly common. The models used to make these predictions typically assume that we are sampling from a homogeneous population. However, in both commercial and experimental populations the sire and dam of an individual may be a mixture of different breeds. Haplotype models can capture this population structure. Two models based on breed specific haplotype clusters where developed to account for differences across multiple breeds. The first model utilizes the breed composition of the individual, while the second utilizes the breed composition from the sire and dam. Haplotype clusters were modeled as hidden states in a hidden Markov model where the genomic effects are associated with loci located on the unobserved clusters. Similar to the Bayes C model, we can model the genomic effects at the loci using a prior, which consists of a mixture of a multivariate normal and a point mass at zero distribution. The performance of the first model will be evaluated in a composite beef cattle population, representing various fractions of several breeds, using five weight traits, seven carcass traits, and two other traits related to calving on 6,552 cattle genotyped for 99,827 mapped SNPs. The performance of the second model will be evaluated in a two-way cross population, which was a cross between two independent lines, using age of puberty records on 1,654 swine genotyped for 48,408 mapped SNPs. Both models will also be evaluated in a simulated composite population of two lines of 12,500 individuals and 61,255 mapped SNPs. Overall, the breed specific haplotype models led to larger and more clearly observed estimated QTL. However, the prediction accuracy for the haplotype models were typically lower than those for the traditional Bayesian GWAS models. Therefore, while our ability to locate QTLs was increased, the traditional models are still the preferred choice for prediction as they have higher prediction accuracy when it comes to estimating an animal’s genetic merit.
- Published
- 2016
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