Uso da geoestatística na avaliação de variáveis ambientais em galpão de suínos criados em sistema "wean to finish" na fase de terminação

Medeiros, Brenda Batista Lemos; Moura, Daniella Jorge de; Massari, Juliana Maria; Curi, Thayla M. R. de C.; Maia, Adolfo

doi:10.1590/s0100-69162014000500001

Cited by 15 publications

(15 citation statements)

References 16 publications

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“…Therefore, these variables are inversely proportional, a finding that was also emphasized by CARVALHO et al (2012) andMEDEIROS et al (2014). Moreover, RH remained within limits postulated in the literature only in the upper left region, emphasizing existing microclimates within this facility; furthermore, factors like air temperature, shadowing, stocking density, water consumption and wasting could interfere with this variable.…”

Section: Z(x1) and Z (X1 + H) -Observations Distant In H (M)supporting

confidence: 58%

“…MEDEIROS et al (2014), studying the thermal environment for pigs reared in a wean-to-finish system, at different stock densities and at F phase, found a RH value of 40.44% at 3 pm, which is within the bearable range. Therefore, the found RH values highlight the evaporative cooling potential of the facility (CARVALHO et al, 2009), being advisable the installation of nebulizers and fans inside the barn to assist in heat loss.…”

Section: Z(x1) and Z (X1 + H) -Observations Distant In H (M)mentioning

confidence: 89%

“…The variability of the attributes was verified based on descriptive statistics of the data recorded (Tdb, RH, Sair, CO2 and NH3), The variability of the attributes has been verified based on descriptive statistics data recorded, obtaining means, medians, coefficients of variation and the normality by Kolmogorov-Smirnov's test, as describe in MEDEIROS et al (2014). The spatial dependence is given by semivariogram fitting (VIEIRA, 2000), based on stationarity of the intrinsic hypothesis, which is estimated by [eq.…”

Section: Methodsmentioning

confidence: 99%

“…In contrast, in wean-to-finish systems, animal flow is held within the same facility from weaning to slaughter (MEDEIROS et al, 2014). Nevertheless, studies on environmental quality, weight gain, sexing, and animal welfare for this system are still scarce.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, spatial variability maps could disclose that analyzing a single point might be not enough, under-or over-estimating such value (SILVA et al, 2013;NÄÄS, 2011). Several authors have reported the use of geostatistics in animal husbandry MEDEIROS et al, 2014;SILVA NETO et al, 2011). Given the above, this study aimed to identify different environmental zones within a pig rearing facility of a wean-tofinish system during growing to finishing and finishing phases, by making use of geostatistics.…”

Section: Introductionmentioning

confidence: 99%

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Zoning of environmental conditions inside a wean-to-finish pig facility

et al. 2016

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Using geostatistics, this study aimed to analyze environmental conditions for weanto-finish swines at 3 pm, during the most sensitive phases to thermal stress (growth/ finishing and finishing). To this end, dry-bulb temperature, relative humidity, air speed, ammonia and carbon dioxide concentrations were measured at 81 equidistant points within the barn. Descriptive statistics was used to classify attribute variability, generating mean, median, variation coefficient, asymmetry and kurtosis, through the normality of Kolmogorov-Smirnov (KS). For that, it was used Minitab 15 software. Moreover, semivariograms were used to assess spatial dependence using the GS+ software, and through Surfer, spatial distribution maps were designed. Dry-bulb temperature and relative humidity showed a more homogeneous distribution whether compared to the other attributes. Furthermore, critical points were observed within the facility, with temperatures and low humidity, indicating the need for fogging equipment and fans to improve thermal comfort and animal welfare.

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Section: Z(x1) and Z (X1 + H) -Observations Distant In H (M)supporting

confidence: 58%

Section: Z(x1) and Z (X1 + H) -Observations Distant In H (M)mentioning

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Zoning of environmental conditions inside a wean-to-finish pig facility

et al. 2016

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Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with diﬀerent solar heating systems

Damasceno

Oliveira

Saráz

et al. 2019

Rev. Fac. Nac. Agron. Medellín

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The present work aims to develop a mathematical model, based on fuzzy set theory, for predicting performance and the physiological responses of piglets raised in the farrowing house with different solar heating systems. To do this, a solar heater prototype was constructed using alternative materials and the heating efficiency was compared with a commercial solar heater system. In order to thermally evaluate the heaters, temperature sensors were installed in the inlet and outlet pipes of each floor and thermal reservoir. The fuzzy system was developed and the variables dry air bulb temperature (Tbs) and relative humidity (RH) of the air were defined as inputs. Based on the input variables, the fuzzy system predicts the productive performance (weight gain - WG) and physiological responses (respiratory rate - RR, rectal temperature –RT, and skin temperature - ST) of piglets raised in an environment with solar heating. Based on the results, the fuzzy model was adequate for predicting the physiological responses and productive performance of piglets, presenting low standard deviation and high correlation with the validation data. This model can be used to assist producers in decision making, especially regarding maintaining animal welfare while the thermal environment changes.

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Assessment of spatial variability of bedding variables in compost bedded pack barns with climate control system

Oliveira

Damasceno

Ferraz

et al. 2021

An. Acad. Bras. Ciênc.

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The aim of this research was to evaluate the spatial distribution of bedding variables in a climate-controlled compost bedded pack barn (CBP) equipped with an evaporative cooling system associated with a tunnel ventilation mode. The study was conducted on a farm in the West Mesoregion of Minas, MG, Brazil. The interior of the animal facility was divided into a mesh of 120 equidistant points, where the bedding surface temperature (t b-sur ), the bedding temperature at 0.20 m depth (t b-20 ) and the bedding penetration resistance (PR b ) of layer 0 to 0.20 m depth were measured. Bedding samples were collected to obtain the moisture (M b ) and pH in the surface and at 0.20 m depth. Geostatistics technique was used to evaluate the dependence and spatial distribution. Through the bedding area, the t b-sur presented low variability, with 6 ºC of amplitude, and t b-20 presented highest values (up to 55 °C). The spatial distribution of M b-20 was similar to that observed on the surface and its highest levels occurred in the region near the feed alley (> 40%). The distribution of pH was similar in both layers. The tendency of high PR b occurred in the layer between 0.15 and 0.20 m (0 and 1500 kPa).

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Uso da geoestatística na avaliação de variáveis ambientais em galpão de suínos criados em sistema "wean to finish" na fase de terminação

Cited by 15 publications

References 16 publications

Zoning of environmental conditions inside a wean-to-finish pig facility

Zoning of environmental conditions inside a wean-to-finish pig facility

Fuzzy system to evaluate performance and the physiological responses of piglets raised in the farrowing house with diﬀerent solar heating systems

Assessment of spatial variability of bedding variables in compost bedded pack barns with climate control system

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