Quantitative assessment of the effects of outside temperature on farrowing rate in gilts and sows by using a multivariate logistic regression model

Sasaki, Yosuke; Fujie, Madoka; Nakatake, Shingo; Kawabata, Tadahiro

doi:10.1111/asj.13048

Cited by 20 publications

(22 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Farrowing rate affects herd reproductive efficiency and was reportedly associated with various factors such as parity, outside temperature, breed, and health status (Furutani et al, 2018;Koketsu et al, 2017;Sasaki et al, 2014Sasaki et al, , 2018. Additionally, no significant change was found in growth performance; this might be simply due to large performance variation among farms.…”

Section: Discussionmentioning

confidence: 99%

“…Farrowing rate over the 5 years remained high at approximately 86% and there would be little opportunity to improve because of low heritability reporting 0.03 (Bloemhof et al., 2012). Farrowing rate affects herd reproductive efficiency and was reportedly associated with various factors such as parity, outside temperature, breed, and health status (Furutani et al., 2018; Koketsu et al., 2017; Sasaki et al., 2014, 2018). Additionally, no significant change was found in growth performance; this might be simply due to large performance variation among farms.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of reproductive and growth performance of pigs on commercial swine farms in southern Kyushu, Japan

Sasaki

Kawabata

Nakatake

et al. 2020

Animal Science Journal

Self Cite

View full text Add to dashboard Cite

The objective of the present study was to assess the productivity of pigs to investigate the time‐dependent change in productivity and compare productivity according to breeding company group and porcine reproductive and respiratory syndrome (PRRS) status on commercial swine farms in southern Kyushu, Japan. Data used in the present study were 245 annual productivity records from 2014 to 2018 obtained from 72 farms. Average sow inventory was 481.2 sows. Mean numbers of pigs weaned per sow per year and market pigs sold per sow per year were 23.7 and 21.6, respectively. Pigs born alive per litter increased from 11.1 to 11.9 pigs from 2014 to 2018 (p < .05). Farms using domestic breeding companies had similar numbers in 2016 to those using international breeding companies, but fewer pigs in 2014, 2015, 2017, and 2018 (p < .05). Farms with an unknown or unstable PRRS status had fewer pigs born alive per litter and pigs weaned per sow per year than those with stable or negative PRRS statuses (11.2 ± 0.06 vs. 11.8 ± 0.08 pigs and 22.6 ± 0.38 vs. 25.0 ± 0.22 pigs, respectively; p < .05). These results can be used to establish feasible targets and standards of performance to identify problem areas and improve production.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Assessment of reproductive and growth performance of pigs on commercial swine farms in southern Kyushu, Japan

Sasaki

Kawabata

Nakatake

et al. 2020

Animal Science Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…(2013) showed the utility of daily maximum temperature from weather stations as a heat stress indicator for farrowing rate and total number born on 16 farms in Spain and Portugal. Using public meteorological data, other studies reported the results of epidemiological investigations of total number born, weaning-to-first-mating interval, adjusted 21-day litter weight, peripartum pig deaths, and farrowing rates of gilts and sows (mainly crossbred) reared in Japanese commercial farms, in terms of herd management (e.g., Iida and Koketsu 2013; Iida and Koketsu 2014a; Iida and Koketsu 2014b; Sasaki et al . 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies used information on daily maximum temperature to investigate the effect of ambient temperature on reproductive traits of pig (e.g., Lewis and Bunter 2011; Bloemhof et al . 2013; Iida and Koketsu 2013; Iida and Koketsu 2014a; Iida and Koketsu 2014b; Sasaki et al . 2018).…”

Section: Introductionmentioning

confidence: 99%

An attempt of using public ambient temperature data in swine genetic evaluation for litter size traits at birth in Japan

Hara

Ogawa

Ohnishi

et al. 2022

Preprint

View full text Add to dashboard Cite

To obtain the fundamental information on using ambient temperature information in developing the model for routine swine genetic evaluation in Japan, we analyzed total number born (TNB), number born alive (NBA), and number stillborn (NSB) collected at a Japanese farm, together with off-farm ambient temperature measured at a nearest Automated Meteorological Data Acquisition System station. Five repeatability animal models were exploited, considering the effects of farrowing season (model 1), farrowing month (model 2), quadratic regressions of daily maximum ambient temperature of farrowing day (model 3), season and temperature (model 4), or month and temperature (model 5). Patterns of the effects of daily maximum temperature of farrowing day estimated using model 3 was similar to those of farrowing season by model 1 and those of farrowing month by model 2. Adding the effect of daily maximum temperature of farrowing day (models 4 and 5) could explain phenotypic variability greater than only considering either of farrowing season and month (models 1 and 2). Estimated heritability was stable among the models and the rank correlation of predicted breeding values between models was >0.98 for all traits. The results indicate the possibility that using public ambient temperature can capture a large part of the phenotypic variability in litter size traits at birth caused by the seasonality in Japan and do not harm, at least, the performance of genetic evaluation. This study could support the availability of public meteorological data in flexible developing operational models for future swine genetic evaluation in Japan.

show abstract

“…The respiratory rates and rectal and skin surface temperatures of sows in different environments were analyzed. Yosuke et al [ 27 ] also studied the effects of THI2 and maximum temperature on the farrowing rate of sows. Mellado et al [ 28 ] used THI2 to analyze the relationship between THI2 and the reproductive performance of sows.…”

Section: Introductionmentioning

confidence: 99%

Modeling of Heat Stress in Sows Part 2: Comparison of Various Thermal Comfort Indices

Cao

Zong

Zhuang

et al. 2021

Animals

View full text Add to dashboard Cite

Heat stress has an adverse effect on the production performance of sows, and causes a large economic loss every year. The thermal environment index is an important indicator for evaluating the level of heat stress in animals. Many thermal indices have been used to analyze the environment of the pig house, including temperature and humidity index (THI), effective temperature (ET), equivalent temperature index of sows (ETIS), and enthalpy (H), among others. Different heat indices have different characteristics, and it is necessary to analyze and compare the characteristics of heat indices to select a relatively suitable heat index for specific application. This article reviews the thermal environment indices used in the process of sow breeding, and compares various heat indices in four ways: (1) Holding the value of the thermal index constant and analyzing the equivalent temperature changes caused by the relative humidity. (2) Analyzing the variations of ET and ETIS caused by changes in air velocity. (3) Conducting a comparative analysis of a variety of isothermal lines fitted to the psychrometric chart. (4) Analyzing the distributions of various heat index values inside the sow barn and the correlation between various heat indices and sow heat dissipation with the use of computational fluid dynamics (CFD) technology. The results show that the ETIS performs better than other thermal indices in the analysis of sows’ thermal environment, followed by THI2, THI4, and THI7. Different pigs have different heat transfer characteristics and different adaptability to the environment. Therefore, based on the above results, the following suggestions have been given: The thermal index thresholds need to be divided based on the adaptability of pigs to the environment at different growth stages and the different climates in different regions. An appropriate threshold for a thermal index can provide a theoretical basis for the environmental control of the pig house.

show abstract

Quantitative assessment of the effects of outside temperature on farrowing rate in gilts and sows by using a multivariate logistic regression model

Cited by 20 publications

References 24 publications

Assessment of reproductive and growth performance of pigs on commercial swine farms in southern Kyushu, Japan

Assessment of reproductive and growth performance of pigs on commercial swine farms in southern Kyushu, Japan

An attempt of using public ambient temperature data in swine genetic evaluation for litter size traits at birth in Japan

Modeling of Heat Stress in Sows Part 2: Comparison of Various Thermal Comfort Indices

Contact Info

Product

Resources

About