Impact of environmental temperature on production traits in pigs

Rauw, W. M.; Mercado, E. de; Gomez‐Raya, Luis; Cortés, Luis Alberto García; Ciruelos, Juan José; Izquierdo, Emilio Gómez

doi:10.1038/s41598-020-58981-w

Cited by 30 publications

(27 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“… 16 . Consistent with previous studies on HS, TROP environment reduced FI and performance traits 3 , but increased feed efficiency 3 , 17 and body temperature traits (ST, RT) 2 . In the present study, we showed that TROP conditions also modifies feeding behaviour of the pigs: animals had slightly more meals per day but these meals were smaller both in duration and in size, resulting in lower ADFI and lower time spent eating per day.…”

Section: Discussionsupporting

confidence: 91%

See 1 more Smart Citation

Plasticity of feeding behaviour traits in response to production environment (temperate vs. tropical) in group-housed growing pigs

Poullet

Rauw

Renaudeau

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

Heat stress affects pig metabolism, health and welfare, resulting in reduced growth and important economic losses. The present experiment aimed to evaluate the effects of two climatic environments [temperate (TEMP) vs. tropical humid (TROP)] on feeding behaviour in growing pigs. The feeding behaviour traits were measured with automated feeders and included: daily feed intake, daily eating time, feeding rate, daily number of meals, feed intake per meal, and feeding time per meal. Pigs came from a backcross population between Large White (LW, heat sensitive) and Creole (CR, heat tolerant) pigs. The same 10 F1 LW × CR boars (sire families [SF]) were mated with related LW sows in each environment. Feeding behaviour was recorded for a total of 1,296 pigs (n = 634 pigs for TEMP and n = 662 pigs for TROP) between 11 and 23 weeks of age. Growth performance and thermoregulatory responses (rectal and skin temperatures) were also measured. Results show that TROP conditions affect feeding behaviour traits: animals had more meals per day but these meals were smaller both in duration and in size, resulting in lower daily feed intake and less time eating per day. Significant SF by environment (GxE) interactions were found for all feeding behaviour traits. When SF were distributed into robust and sensitive groups (previously defined according to performance and thermoregulatory traits), results showed group by environment interactions for all feeding traits, except meal frequency. Moreover, a significant difference in feeding rate between robust and sensitive group was detected in TEMP, suggesting that feeding rate may be a good candidate to evaluate heat tolerance.

show abstract

Section: Discussionsupporting

confidence: 91%

“…The upper limit of thermoneutrality, in which no extra energy is used for thermoregulation, is considered to be around 25 °C for growing-finishing pigs 17 , 18 . In our study, temperature in TEMP varied daily on average between 24.7 and 25.7 °C, suggesting that pigs were reared closed to thermoneutral conditions.…”

Section: Discussionmentioning

confidence: 99%

Plasticity of feeding behaviour traits in response to production environment (temperate vs. tropical) in group-housed growing pigs

Poullet

Rauw

Renaudeau

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…The current study suggested that the growth curves could be used for better visualizing growth stages in the digestive tract over time. The growth stage is the repeated effect in the model for each individual [69]. the rumen, omasum, and reticulum percentages relative to the whole stomach showed increasing response with age ( Figure 4).…”

Section: Anatomic Development Of Digestive Tractmentioning

confidence: 99%

Predicting the Digestive Tract Development and Growth Performance of Goat Kids Using Sigmoidal Models

Abdelsattar

Zhuang

Cui

et al. 2021

Animals

View full text Add to dashboard Cite

The transition from monogastric to rumination stage is crucial in ruminants’ growth to avoid stressors—weaning and neonatal mortalities. Poor growth of the digestive tract could adversely affect the performance of the animal. Modeling informative growth curves is of great importance for a better understanding of the effective development pattern, in order to optimize feeding management system, and to achieve more production efficiency. However, little is known about the digestive tract growth curves. For this reason, one big goat farm of Laiwu black breed was chosen as a basis of this study. Forty-eight kids belonging to eight-time points (1, 7, 14, 28, 42, 56, 70, and 84 d; 6 kids for each) were selected and slaughtered. The body weight, body size indices, rumen pH, and stomach parts were determined and fitted to the polynomial and sigmoidal models. In terms of goodness of fit criteria, the Gompertz model was the best model for body weight, body oblique length, tube, and rumen weight. Moreover, the Logistic model was the best model for carcass weight, body height, and chest circumference. In addition, the Quadratic model showed the best fit for dressing percentage, omasum weight, abomasum weight, and rumen volume. Moreover, the cubic model best fitted the ruminal pH and reticulum percentage. The Weibull model was the best model for the reticulum weight and omasum percentage, while the MMF model was the best model describing the growth of chest depth, rumen percentage, and abomasum percentage. The model parameters, R squared, inflection points, area under curve varied among the different dependent variables. The Pearson correlation showed that the digestive tract development was more correlated with age than body weight, but the other variables were more correlated with body weight than age. The study demonstrated the use of empirical sigmoidal and polynomial models to predict growth rates of the digestive tract at relevant age efficiently.

show abstract

“…The animal material from this study came from an experiment investigating production parameters in a commercial Duroc × Iberian pig cross (7). In Spain, purebred Iberian pig meat (in particular dry-cured products)…”

Section: Dataset Of Duroc × Iberian Pigsmentioning

confidence: 99%

First-Degree Relationships and Genotyping Errors Deciphered by a High-Density SNP Array in a Duroc × Iberian Pig Cross

Gomez‐Raya

Izquierdo

Peña

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Background Two individuals with a first-degree relationship share about 50 percent of their alleles. Parent-offspring relationships cannot be homozygotes for alternative alleles (genetic exclusion). Methods Applying the concept of genetic exclusion to HD arrays typed in animals for experimental purposes or genomic selection allows estimation of the rate of rejection of first-degree relationships as the rate at which two individuals typed for a large number of SNPs do not share at least one allele. An Expectation–Maximization algorithm is applied to estimate parentage. In addition, genotyping errors are estimated in true parent-offspring relationships due to the large number of SNPs. Nine candidate Duroc sires and 55 Iberian dams producing 214 Duroc × Iberian barrows were typed for the HD porcine Affymetrix array. Results We were able to establish paternity and maternity of 75 and 86 piglets, respectively. A lower bound of the genotyping error of 0.003345 was estimated based on the rate of rejection of true parent-offspring relationships among autosomal SNPs. The true genotyping error is estimated to be between twice and three times the average of the rate of rejection observed in true relationships, i.e., between approximately 0.0067 and 0.0100. A total of 8,558 SNPs were rejected in six or more true parent-offspring relationships facilitating identification of “problematic” SNPs with inconsistent inheritance. Conclusions This study shows that animal experiments and routine genotyping in genomic selection allow to establish or to verify first-degree relationships as well as to estimate genotyping errors for each batch of animals or experiment.

show abstract

Impact of environmental temperature on production traits in pigs

Cited by 30 publications

References 31 publications

Plasticity of feeding behaviour traits in response to production environment (temperate vs. tropical) in group-housed growing pigs

Plasticity of feeding behaviour traits in response to production environment (temperate vs. tropical) in group-housed growing pigs

Predicting the Digestive Tract Development and Growth Performance of Goat Kids Using Sigmoidal Models

First-Degree Relationships and Genotyping Errors Deciphered by a High-Density SNP Array in a Duroc × Iberian Pig Cross

Contact Info

Product

Resources

About