scholarly journals VARIATION IN PIGLET WEIGHTS: RELATIONSHIP TO SUCKLING BEHAVIOR, PARITY NUMBER AND FARROWING CRATE DESIGN

1986 ◽  
Vol 66 (1) ◽  
pp. 31-46 ◽  
Author(s):  
DAVID FRASER ◽  
B. K. THOMPSON

Suckling behavior and weight change of piglets were studied during the first 2 wk after birth. Thirty-six litters comprised a balanced comparison of parity number (first or second), litter size (8, 10 or 12), and two farrowing crate designs, one of which had a low horizontal bar that tended to impede the piglets' access to the udder. Piglets showed the expected preference for the anterior teats although the preference was more apparent in the second parity than in the first. Teat fidelity was most pronounced at the two ends of the udder; piglets occupying the middle positions did more fighting during suckling and missed the milk ejection more often. Within-litter variation in 14-day weight increased with increasing parity number of the dam. Initial weight explained 30–40% of within-litter variation in 14-day weight. Behavioral variables explained 2.6% of additional variation in first-parity litters, 18.1% in second-parity litters, and 22.9% in litters of older sows. Suckling position (anterior to posterior) and teat fidelity (consistency of suckling position) were the two behavioral factors most closely associated with 14-day weight. Mean litter 14-day weight showed the expected effect of litter size, but showed no differences attributable to parity number or farrowing crate design. However, within-litter variation in 14-day weight was greater (P < 0.025) in the type of crate that impeded access to the udder. This may have been due to the somewhat higher levels of fighting, and to higher within-litter variance in fighting scores, seen in these crates. Key words: Piglet, weight gain, suckling behavior, farrowing crate design, parity number

1987 ◽  
Vol 67 (4) ◽  
pp. 929-939 ◽  
Author(s):  
G. W. DYCK ◽  
E. E. SWIERSTRA ◽  
R. M. MCKAY ◽  
K. MOUNT

The effect of location of the teat suckled on piglet growth was evaluated on 919 piglets in 111 litters from 20 Yorkshire (Y) and 17 Yorkshire × Lacombe (YL) sows over the 2nd to 4th parities. Analysis of covariance was used to adjust the data for the effect of birth weight and number of piglets born alive. Piglet weight at 35 d of age was correlated with birth weight (r = 0.606) and the number of piglets born alive (r = −0.256). A breed difference was observed only for piglet weight gain (adjusted for litter size) with Y piglets being lighter (P < 0.01) than YL piglets at both 21 (Y, 3.77 kg vs. YL, 4.10 kg) and 35 (Y, 6.84 kg vs. YL, 7.95 kg) days of age. Piglets suckling the three anterior teats were heavier (P < 0.01) at 21 and 35 d of age than piglets suckling the three to four posterior teats. The effect of teat location on piglet weight was apparent both as a main effect and through its interaction with sow breed and with parity. At 21 d of age the weight, adjusted for birth weight and number born alive, of Y and YL piglets suckling the anterior teats was similar (Y, 5.43 kg; YL, 5.55 kg) and greater (P < 0.05) than the weight of piglets suckling the posterior teats. For piglets suckling the posterior teats, the Y piglets were heavier (P < 0.05) than YL piglets (Y, 5.18 kg vs. YL, 4.78 kg). At 35 d of age, the Y piglets suckling the anterior teats were lighter (P < 0.05) than YL piglets (Y, 8.78 kg vs. YL, 9.35 kg), and heavier (P < 0.05) than piglets suckling the posterior teats. The weight of Y and YL piglets suckling the posterior teats was similar (Y, 8.33 kg; YL, 8.24 kg). For weight gain (adjusted for number born alive) the differences at 21 and 35 d of age were YLa (anterior teats)>Ya>YLp (posterior teats) = Yp, and YLa>Ya = YLp>Yp, respectively. The parity × teat location effect was an increase in the difference in average piglet weight between piglets suckling the anterior and posterior teats from 2nd to 4th parity (21 d, 0.33–0.65 kg, P = 0.137; 35 d, 0.39–1.17 kg, P = 0.085). For weight gain, these differences were significant (21 d, 0.31–0.75 kg, P = 0.017; 35 d, 0.43–1.26 kg, P = 0.007). These results indicate that the effect of location of the teat suckled on piglet weight is specific to the breed of dam and influenced by parity with piglets suckling the more anterior teats being heavier. Key words: Piglet weight, teat location, breed, parity


2004 ◽  
Vol 84 (4) ◽  
pp. 573-579 ◽  
Author(s):  
K. Fisette ◽  
J. P. Laforest ◽  
S. Robert ◽  
C. Farmer

The impact of exposing lactating sows and their litters to recorded sow nursing grunts played at different intervals during lactation was studied. Yorkshire × Landrace (YL) and 25% Meishan (MH) primiparous sows were divided into three groups (n = 14): (1) no playback, (2) playbacks at 35-min intervals (GR35), and (3) playbacks at 40-min intervals (GR40). Recordings were played from day 110 of gestation to day 27 of lactation. Nursing behaviours, incidence of nursings without milk ejection (NPN), nursing interval and proportion of nursings induced by playbacks were measured on days 6, 18 and 26 of lactation. Litter size was standardized to 10 ± 1 piglets within 48 h of birth and piglets were weighed weekly. Mean nursing intervals, excluding NPN, were shorter for MH than for YL sows (P < 0.001). The increase in mean nursing interval between days 6 and 18 was greater in GR40 than in GR35 or controls (P < 0.01) and, when excluding NPN, the mean nursing interval decreased in GR35 on day 18 (P = 0.01). The occurrence of NPN decreased as lactation advanced (P < 0.001) and was lower for MH than YL sows on day 26 (P < 0.001). Between days 6 and 18, the proportion of nursings initiated by playbacks increased (P < 0.05) and the duration of milk ejection decreased (P < 0.001). In MH sows, controls had longer milk ejections than GR35 (P < 0.05) whereas, in YL sows, controls had shorter milk ejections than GR40 (P < 0.05) and GR35 (P = 0.06). Piglet growth was not affected by treatments or breed (P > 0.1). In conclusion, exposing sows and their litters to recorded sow nursing grunts played at 35-min intervals reduced nursing intervals on day 18 of lactation only, without affecting piglet performance. Key words: Auditory stimulus, behaviour, lactation, litter performance, Meishan, sows


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eva Graham ◽  
Tristan Watson ◽  
Sonya S. Deschênes ◽  
Kristian B. Filion ◽  
Mélanie Henderson ◽  
...  

AbstractThis cohort study aimed to compare the incidence of type 2 diabetes in adults with depression-related weight gain, depression-related weight loss, depression with no weight change, and no depression. The study sample included 59,315 community-dwelling adults in Ontario, Canada. Depression-related weight change in the past 12 months was measured using the Composite International Diagnostic Interview—Short Form. Participants were followed for up to 20 years using administrative health data. Cox proportional hazards models compared the incidence of type 2 diabetes in adults with depression-related weight change and in adults with no depression. Adults with depression-related weight gain had an increased risk of type 2 diabetes compared to adults no depression (HR 1.70, 95% CI 1.32–2.20), adults with depression-related weight loss (HR 1.62, 95% CI 1.09–2.42), and adults with depression with no weight change (HR 1.39, 95% CI 1.03–1.86). Adults with depression with no weight change also had an increased risk of type 2 diabetes compared to those with no depression (HR 1.23, 95% CI 1.04–1.45). Associations were stronger among women and persisted after adjusting for attained overweight and obesity. Identifying symptoms of weight change in depression may aid in identifying adults at higher risk of type 2 diabetes and in developing tailored prevention strategies.


2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S551-S551
Author(s):  
Sneha Thatipelli ◽  
Chad Achenbach ◽  
Shannon Galvin

Abstract Background Integrase strand transfer inhibitors (InSTIs) as ART for HIV has been associated with clinically significant weight gain, in addition to the “return to health phenomenon”. Methods We conducted a cohort study on adults over 18 with HIV, who had baseline weights and an additional weight at least 6 months later. Individuals with malignancies, thyroid disorders, and disseminated tuberculosis or mycobacterium avium complex were excluded. To understand the impact of InSTIs on chronic vs. recently infected persons, we divided the cohort into four groups: (1) well-controlled on non-InSTI ART [WN] (2) well-controlled on InSTI ART [WI] (3) uncontrolled on non-InSTI ART [UN], and (4) uncontrolled on InSTI ART [UI]. Well-controlled persons (viral load &lt; 2000) were proxies for chronic infection on long-term ART and uncontrolled for recently infected and initiated on ART. New diagnoses of diabetes, hyperlipidemia, and hypertension were determined by ICD10 codes. Participants with a weight change more than 10 kg in 6 months were excluded. Results 612 of the initial 910 participants in the cohort met the inclusion criteria. Comparing those who remained on the designated regimen throughout the study led to 86 WN, 153 WI, 166 UN, and 145 UI. Mean weight change at 6 months for WN was +0.22 kg (95% CI [-0.86, 1.3]), at 1 year was -0.86 kg (95% CI [-2.94, 1.22]), and at 2 years was +0.026 kg (95% CI [-2.347, 2.399]). For WI, mean weight change at 6 months was +0.21 kg (95% CI [-0.79, 1.21]), at 1 year was -0.50 kg (95% CI [-2.02, 1.04]), and at 2 years was +0.43 kg (95% CI [-1.35, 2.21]). UN gained weight until the first year (+1.74 kg at 6 mo (95% CI [0.24, 3.24]) and +3.84 kg at 1 year (95% CI [1.57, 6.11])), but plateaued at 2 years (+2.42 kg (95% CI [-0.44, 5.28])). At 6 months mean weight gain for UI was +0.78 kg (95% CI [-0.15, 1.71]), at 1 year was +2.33 kg (95% CI [1.02, 3.64]), and at 2 years was +3.04 kg (95% CI [1.2, 4.85]). WI had a higher incidence of diabetes (37% vs. 32%, p=0.40), hyperlipidemia (32% vs. 29%, p=0.66), and hypertension (34% vs. 26%, p=0.19) compared to WN. Conclusion InSTIs may confer a larger and more sustained weight gain among individuals in the first two years after ART initiation. Well controlled individuals did not have statistically significant weight change, but those on Insti-based ART had more metabolic diseases. Disclosures All Authors: No reported disclosures


2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 183-184
Author(s):  
Shannon L Dierking ◽  
Harold J Monegue ◽  
Merlin D Lindemann

Abstract Piglet weaning weight is a critical factor that influences post-weaning growth and performance. Weaning weight is a function of birth weight and the amount and nutrient density of the milk consumed during lactation. Milk production is influenced by sow mammary gland development and diet consumption but may also be a biological function of teat location along the udder line. The objective of this study was then to determine the effects of piglet nursing location along the udder on overall piglet gain and weaning weight. A total of 1,078 individual piglets were observed during the nursing period at three time points during lactation. The teat pairs along the udder line were labeled from anterior to posterior (1-7, respectively) to define nursing location. At the end of the lactation period, the observed piglet nursing location was evaluated for both actual weaning weight and overall piglet weight gain during lactation. Data were evaluated by analysis of variance with the statistical model utilizing litter size as a covariate. As expected, when litter size was utilized as a covariate, there was a significant effect on piglet weaning weight (P &lt; 0.0001), and there was both a linear and quadratic effect of location (L, P &lt; 0.0001; Q, P = 0.0009) on both weaning weight and lactation piglet gain. Heavier piglets were weaned from more anterior teats (teat pairs 1-4), with the numerically heaviest piglets weaned from teat pair 4 (6.12 kg), with the lowest weight piglets being weaned from teat pair 7 (5.17 kg). Piglet weight gain during lactation was impacted by litter size (P &lt; 0.0001), but nursing location did not affect lactation weight gain (P = 0.57). Due to the differences in piglet weights at weaning, it can be concluded that piglet nursing location influences overall piglet weaning weight.


1990 ◽  
Vol 70 (2) ◽  
pp. 673-678 ◽  
Author(s):  
D. HICKLING ◽  
W. GUENTER ◽  
M. E. JACKSON

An experiment was conducted with 3840 male Ross × Arbor Acres broiler chicks to test the effects of increasing dietary methionine and lysine on performance and breast meat yield. Supplemental methionine and lysine were fed in a 2 × 4 factorial arrangement in both starter (0–3 wk) and finisher (3–6 wk) diets. Methionine was fed at levels of NRC and 112% NRC. Lysine was fed at levels of NRC and 106% NRC, 112% NRC and 118% NRC. Increasing dietary methionine increased weight gain (P < 0.01), feed efficiency (P < 0.01) from 3 to 6 wk, and breast meat yield (P < 0.01) at 6 wk. Increasing dietary lysine caused a curvilinear response in breast meat yield (P < 0.05). Key words: Broiler, lysine, methionine, breast meat


Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Beatrice A Golomb ◽  
Hayley J Koslik ◽  
Alexis K Bui

Background and Goal: Sleep problems were significantly increased on simvastatin ( simva ) (but not pravastatin) vs placebo in the UCSD Statin Study. Sleep problems on simva predicted glucose rise. Weight gain has also been reported as a statin side effect. We sought to capitalize on existing data to assess whether sleep problems on simva related to weight gain in men. Method: 442 men without known diabetes or CVD were randomized to simva 20mg or placebo for 6 mon. One hundred eighty and 186 completed single-item self-rating of change in sleep problems vs baseline ( Δslpprob ). Weight (lb) was measured at baseline and 6 mon. Missing 6 mon values were imputed. Analyses: A. Regressions stratified by treatment assessed prediction of weight change by Δslpprob, adjusted for baseline weight. B. Regressions assessed prediction of weight change by the interaction term of simva (vs placebo) x Δslpprob, adjusted for the components of the interaction and baseline weight. Since age-related muscle loss may complicate weight change in elderly; and young adults have low vulnerability to metabolic problems, analyses were repeated excluding these groups. Results: A. Increased sleep problems on simva predicted weight gain (significant), but on placebo predicted weight loss (nonsignificant). B. The Δslpprob x simva interaction term significantly predicted weight gain. When that was parceled out, simva, outside of the sleep relationship, negatively predicted weight change. Exclusion of young adults and elderly strengthened significance of findings (Table). Discussion: Sleep problems, which differentially arise on simva, differentially predict weight gain on simva. This expands the metabolic effects to which sleep problems on simva may contribute and might possibly favor mediation by sleep apnea (a reported complication of simva). Once the sleep problem effect is considered, simva use predicted weight loss . The relative contribution of fat vs muscle loss (vs other) requires exploration.


Obesity ◽  
2021 ◽  
Author(s):  
Jacqueline F. Hayes ◽  
Deborah F. Tate ◽  
Mark A. Espeland ◽  
Jessica Gokee LaRose ◽  
Amy A. Gorin ◽  
...  

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Priscilla Agyemang ◽  
Colby Ayers ◽  
Min Lian ◽  
Sandeep Das ◽  
Christine Hoehner ◽  
...  

Background: Although neighborhood-level socioeconomic deprivation associates with prevalent obesity, its relationship to individual-level weight change over time is poorly elucidated. Few studies have evaluated the impact of behavioral and psychosocial factors on this relationship. Methods: We examined the relationship between neighborhood-level socioeconomic deprivation and weight change among those who did not move in the 7-year study period (N=955) of the Dallas Heart Study (DHS), a multi-ethnic, population-based sample of Dallas County residents aged 18-65. Baseline weight measurements were performed in 2000-02 and weight was re-measured at 7-year follow-up. Home addresses obtained at baseline and follow-up were geocoded and linked to residential census tracts in Dallas County. A neighborhood deprivation index (NDI) for DHS participants was created using factor analysis of 21 census-tract neighborhood characteristics, with higher scores indicating more socioeconomic deprivation. Repeated-measures linear mixed modeling with random effects was used to determine weight change (kg) relative to tertiles of NDI. Reported physical activity (yes/no: exercised <150 mets/min-wk) and perceptions of neighborhood environment (questionnaire-derived score with higher score = more unfavorable perceptions of neighborhood violence, aesthetics, and social cohesion) were examined as mediators. Results: DHS participants living in more socioeconomically deprived neighborhoods had lower income and education (p-trend <0.001 for both). Blacks were more likely to live in more socioeconomically deprived neighborhoods than whites and Hispanics (p<0.001). Adjusting for age, sex, race, smoking, education, and income as fixed effects, DHS participants living in the most socioeconomically deprived neighborhoods (highest NDI tertile) gained 5.8±2.5 more kilograms (p=0.02) over the 7-year period compared to those in the least deprived neighborhoods. Living in the most socioeconomically deprived neighborhoods remained associated with a 6.4±2.5 kg greater increase in weight (p=0.01) compared to living in the least deprived neighborhoods after adjustment for physical activity levels and a 6.6±2.6 kg greater increase in weight (p=0.01) after adjustment for perceptions of neighborhood environment. Conclusions: Living in more socioeconomically deprived neighborhoods is associated with greater weight gain among DHS participants over a 7-year period. This relationship does not appear to be fully explained by lower levels of physical activity or unfavorable perceptions of the neighborhood environment. In Dallas County, the high risk for greater weight gain among people living in socioeconomically deprived neighborhoods supports the need to develop targeted community-based interventions to address obesity and reduce disparities in cardiovascular risk.


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