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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Anim. Sci.</journal-id>
<journal-title>Frontiers in Animal Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Anim. Sci.</abbrev-journal-title>
<issn pub-type="epub">2673-6225</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fanim.2022.908434</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Animal Science</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A review of swine heat production: 2003 to 2020</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ramirez</surname>
<given-names>Brett C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1296408"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hoff</surname>
<given-names>Steven J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hayes</surname>
<given-names>Morgan D.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1761064"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Brown-Brandl</surname>
<given-names>Tami</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1092837"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Harmon</surname>
<given-names>Jay D.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rohrer</surname>
<given-names>Gary A.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Agricultural and Biosystems Engineering, Iowa State University</institution>, <addr-line>Ames, IA</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biosystems and Agricultural Engineering, University of Kentucky</institution>, <addr-line>Lexington, KY</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Biological Systems Engineering, University of Nebraska-Lincoln</institution>, <addr-line>Lincoln, NE</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>United State Department of Agriculture (USDA) Agricultural Research Service (ARS), U.S. Meat Animal Research Center, Clay Center</institution>, <addr-line>NE</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Pasquale De Palo, University of Bari Aldo Moro, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Takashi Bungo, Okayama University of Science, Japan; Fran&#xe7;ois-Xavier Philippe, Universit&#xe9; libre de Bruxelles, Belgium</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Brett C. Ramirez, <email xlink:href="mailto:bramirez@iastate.edu">bramirez@iastate.edu</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Animal Physiology and Management, a section of the journal Frontiers in Animal Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>3</volume>
<elocation-id>908434</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Ramirez, Hoff, Hayes, Brown-Brandl, Harmon and Rohrer</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Ramirez, Hoff, Hayes, Brown-Brandl, Harmon and Rohrer</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Swine heat production (HP) data are an essential element of numerous aspects affecting swine production sustainability, such as, housing environmental control design, energetics and thermoregulation modeling, as well as understanding of feed energy partitioning. Accurate HP values that reflect the continuous advances in growth, nutrition, health, and reproduction are needed to update outdated models and data; hence, this review of swine HP values is a critical contribution. This review updates the last previous review conducted in 2004, by reviewing literature from growing and breeding pigs from 2003 to 2020. In total, 33 references were identified that provided relevant HP data and from these references, 192 records were identified for pigs ranging in weight from 12.5 to 283&#xa0;kg and exposed to temperatures between 12.0&#xb0;C and 35.5&#xb0;C. For growing pigs at thermoneutral conditions, a 4.7% average increase in HP was observed compared to HP data summarized from 1988 to 2004. Only five records were identified for gestating sows and the 43 records for lactating sows plus litter. This sow data shows high variability and inconsistent trends with temperature, most likely attributed to variation in experimental protocols, management, and limited reported information. There is still a lack of data on growing pigs greater than 105&#xa0;kg, gilts and gestating sows housed in different systems (stall, pen, mixed, etc.), and latent HP values that reflect different housing systems. Further, there is a need to standardize reporting of HP values (with an example provided) across different disciplines to drive documentation of increased swine production efficiency, environmental control design, and energetics modeling.</p>
</abstract>
<kwd-group>
<kwd>calorimetry</kwd>
<kwd>genetics</kwd>
<kwd>growth</kwd>
<kwd>moisture production</kwd>
<kwd>nutrition</kwd>
<kwd>temperature</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Institute of Food and Agriculture<named-content content-type="fundref-id">10.13039/100005825</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Agricultural Research Service<named-content content-type="fundref-id">10.13039/100007917</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Iowa Agriculture and Home Economics Experiment Station, Iowa State University<named-content content-type="fundref-id">10.13039/100016683</named-content>
</contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="5"/>
<equation-count count="4"/>
<ref-count count="63"/>
<page-count count="10"/>
<word-count count="5083"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>1 Introduction</title>
<p>The global swine industry is constantly evolving as genetic potential, management, nutrition, health, consumer demand, and numerous other factors change over time. For example, animal growth in U.S. production systems continues to get faster and more efficient as indicated by an average 6.2 days less on feed, 0.045&#xa0;kg (0.1&#xa0;lb) greater average daily gain, and 0.07 lower feed conversion efficiency for wean-finish systems from 2011 to 2019 (<xref ref-type="bibr" rid="B60">Stalder, 2018</xref>; <xref ref-type="bibr" rid="B43">MetaFarms, 2021</xref>). Selection of efficient sows has led to an 80&#xa0;g increase in birth weight per market piglet from 2013 to 2018 (<xref ref-type="bibr" rid="B49">PIC, 2018</xref>) as well as larger litter sizes. (<xref ref-type="bibr" rid="B43">MetaFarms, 2021</xref>). A consequence of these substantial productivity improvements is increased metabolic heat production (HP; <xref ref-type="bibr" rid="B42">Mayorga et&#xa0;al., 2019</xref>).</p>
<p>Pigs are homeothermic animals that use physiological and behavioral mechanisms to keep a near-constant body temperature (<xref ref-type="bibr" rid="B44">Mount, 1968</xref>). The thermal energy balance of the pig is maintained such that the total metabolic heat produced must be dissipated to the environment, or a change in body temperature occurs. Metabolizable energy in feed is used for maintenance, growth, and production, which generates metabolic heat as a by-product. This internally generated heat is conducted and circulated through the animal to its outer surface where it is dissipated to the environment (<xref ref-type="bibr" rid="B15">Close and Mount, 1978</xref>). Pigs uniquely thermoregulate (i.e., adjust the flow of metabolic generated heat to the environment) compared to other mammals with body weight (BW) and maturity having an important impact on thermoregulation capabilities (<xref ref-type="bibr" rid="B16">Curtis, 1983</xref>). Young pigs have minimal metabolic heat production, lack vasomotor control to regulate conductance of heat from their core body to surface, are hairless, and lack subcutaneous muscle and fat, as well as have a high surface area to volume ratio (<xref ref-type="bibr" rid="B26">Heath, 1983</xref>; <xref ref-type="bibr" rid="B27">Herpin et&#xa0;al., 2002</xref>). This combination results in high heat loss compared to body weight and metabolic HP leading to increased susceptibility of chilling (<xref ref-type="bibr" rid="B52">Ramirez et&#xa0;al., 2022</xref>). Pigs also have no functional sweat glands, limited lung capacity (small tidal volumes for respiration), and a thick subcutaneous adipose tissue layer (<xref ref-type="bibr" rid="B16">Curtis, 1983</xref>). This combination results in limited ability to thermoregulate (dissipate heat) for heavier, more mature animals which have a greater metabolic activity due to high feeding level, relative to maintenance requirements (<xref ref-type="bibr" rid="B24">Gourdine et&#xa0;al., 2021</xref>). This issue is further exacerbated in sows which are heavy, a low surface area to body weight ratio, higher energy intake relative to maintenance requirement (in lactating sows), and higher subcutaneous fat tissues (<xref ref-type="bibr" rid="B53">Renaudeau et&#xa0;al., 2013</xref>). Continual changes in swine genetics and nutrition impact these numerous thermoregulation abilities and subsequently heat production and ability to dissipate heat.</p>
<p>Typically, environmental conditions are colder than the body temperature of the animal; hence, heat is lost to the environment and the rate of heat loss is affected by environmental heat demand (<xref ref-type="bibr" rid="B19">DeShazer et&#xa0;al., 2009</xref>). Energy exchange from the outer surface of the animal to the environment occurs <italic>via</italic> sensible (temperature gradient dependent) and latent (water vapor pressure gradient dependent) modes (<xref ref-type="bibr" rid="B16">Curtis, 1983</xref>). Sensible heat loss is described by convection, conduction, and radiation and latent heat loss is characterized by the evaporation of water, primarily through respiratory exchange (<xref ref-type="bibr" rid="B19">DeShazer et&#xa0;al., 2009</xref>). From an environmental control perspective, the sensible and latent heat losses from the animals are considered production (i.e., generation) terms since they add energy (in the form of heat) to the environment (e.g., air, floor, room, chamber, etc.) that needs to be controlled (<xref ref-type="bibr" rid="B1">Albright, 1990</xref>). This may create confusion when the animal is considered the control volume, since metabolically generated heat is entirely in the sensible form. The following sections use the terminology of total HP (equivalent to metabolic heat production) as well as sensible and latent HP to describe the partitions of heat lost to the environment from the pigs.</p>
<p>
<xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al. (2004)</xref> showed HP (total) to have increased by 16% compared to studies from the 1950s to 1970s. This was mainly attributed to increased feed conversion and average daily gain. In addition, changes in the chemical composition of body weight gain (greater lean deposition and lower fat deposition) and thermic effect of feed have led to an elevation of fasting HP. For early and late gestation sows, <xref ref-type="bibr" rid="B61">Stinn and Xin (2014)</xref> showed increases of 35% and 12% in HP, 72% and 34% in latent heat production (LHP), and 19% and 3% in sensible heat production (SHP), respectively, when also compared to studies from the 1950s and 1970s. As HP increases, and subsequently, the thermoneutral zone shifts colder (subsequently increasing susceptibility to heat stress), design and management of environment control systems for intensive swine housing or transportation trailers must be updated to adequately provide ventilation and an environment to meet the needs of modern swine genetics.</p>
<p>Pigs raised in intensive housing systems or transported in climatized trailers require controlled environments that balance energy usage, productivity, animal well-being, and environmental impact (<xref ref-type="bibr" rid="B7">Bracke et&#xa0;al., 2020</xref>). The basis for environmental control is adequately supplying the proper fresh-air air exchange rate (or ventilation) to remove heat, moisture, noxious gases, and other airborne contaminants produced inside the housing (<xref ref-type="bibr" rid="B1">Albright, 1990</xref>). The SHP is a major contribution to calculating the ventilation rate for temperature control; hence, increases in pig SHP will increase the required maximum ventilation in hot weather. Conversely, design ventilation rates from moisture control based on outdated moisture production (derived from LHP) data have been shown to be between 30% to 69% lower than newly calculated ventilation rates (<xref ref-type="bibr" rid="B40">Lu et&#xa0;al., 2017</xref>).</p>
<p>Due to the constant evolution in swine industry and need for improved environmental control for intensive swine housing and transport, the goal of this review article is to discuss changes in growing and breeding pigs&#x2019; heat production from 2003 to 2020. This is an update of a similar review performed by <xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al. (2004)</xref> which documented swine HP changes from the 1950s to 2003. Further, this review expands the scope of <xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al. (2004)</xref>, which was limited to growing pigs, to include lactating sow heat production, which has not been previously summarized in literature. The consistent changes in the swine industry (<xref ref-type="bibr" rid="B17">Davis et&#xa0;al., 2022</xref>) have uniquely warranted this review to help provide a summary of recent HP data to guide future design of environmental control systems for different applications of swine housing.</p>
</sec>
<sec id="s2">
<title>2 Article search, screening, and selection</title>
<p>Peer-reviewed articles were identified by systematic search in electronic literature databases including Web of Science (all databases) and Google Scholar on February 1, 2021. Search terms included the following within the title or abstract fields: (swine OR porcine* OR sow* OR pig* OR hog* OR boar) AND (&#x201c;heat production&#x201d;) NOT (waste*). These terms address themes related to energetics, nutrition, climate physiology, and environmental management. Articles identified by the searches were in Google Scholar reference manager and duplicates were automatically detected and removed followed by manual removal of any additional duplicates (i.e., publications published in more than one format, or indexed in more than one database).</p>
<p>Literature was screened according to the schematic framework following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines (<xref ref-type="bibr" rid="B46">Page et&#xa0;al., 2021</xref>). Peer-reviewed articles were excluded if other animal species, except swine, were the focus, and publication was in a language other than English. Each title and abstract were evaluated using the following criteria:</p>
<list list-type="alpha-lower">
<list-item>
<p>Date of publication: articles published from 2003 and 2020 (inclusive)</p>
</list-item>
<list-item>
<p>Geographic focus: worldwide</p>
</list-item>
<list-item>
<p>Population: applied to individual pigs or groups</p>
</list-item>
<list-item>
<p>Results: included total heat production</p>
</list-item>
<list-item>
<p>Facility style: measurements made at house-level or calorimeter</p>
</list-item>
</list>
<p>For each selected article, a record was made in a Microsoft Excel spreadsheet documenting: (1) days of exposure, (2) feeding program, (3) calorimeter type, (4) number of pigs, (5) body weight (divided into lower, upper, and average), (6) sex, (7), dry-bulb temperature, (8) dew-point temperature, (9) relative humidity, (10) airspeed, (11) feed energy, (12) feed intake, (13) manure handling, (14) fasting heat production, and (15) total heat production. Reported unit of measure for heat production data varied considerably throughout the literature. All heat production data were converted to MJ d<sup>-1</sup> kg<sup>-0.75</sup>, W kg<sup>-1</sup>, and W to accommodate the convention of different disciplines.</p>
<p>The Web of Science search yielded 24 results while the first 15 pages (150 results) of Google Scholar were parsed on pig-related studies focusing on heat production. In total, 33 references were identified that provided updated heat production data relevant to this study. From these references, 192 records were identified for pigs ranging in weight from 12.5 to 283&#xa0;kg and exposed to temperatures between 12.0&#xb0;C and 35.5&#xb0;C. Of these 192 records, 71 were barrow-only studies, 38 were gilt-only studies, 35 were mixed (barrow and gilts) studies, 5 were sow-only studies, and 43 were sow plus litter-only studies. A limited amount of latent heat production (LHP) data (66 of the 192 records included LHP) was found that also included total heat production (THP).</p>
</sec>
<sec id="s3">
<title>3 Growing pigs</title>
<p>Growing pig data included 145 records from 19 references (<xref ref-type="bibr" rid="B21">Fialho et al., 2004</xref>; <xref ref-type="bibr" rid="B22">Galassi et al., 2004</xref>; <xref ref-type="bibr" rid="B18">de Lange et al., 2006</xref>; <xref ref-type="bibr" rid="B30">Huynh et al., 2007</xref>; <xref ref-type="bibr" rid="B3">Barea et al., 2010</xref>; <xref ref-type="bibr" rid="B35">Labussi&#xe8;re et al., 2011</xref>; <xref ref-type="bibr" rid="B34">Labussi&#xe8;re et al., 2013</xref>; <xref ref-type="bibr" rid="B9">Brown-Brand et al., 2014</xref>; <xref ref-type="bibr" rid="B11">Campos et al., 2014a</xref>; <xref ref-type="bibr" rid="B12">Campos et al., 2014b</xref>; <xref ref-type="bibr" rid="B63">Zhang et al., 2014</xref>; <xref ref-type="bibr" rid="B33">Kiarie et al., 2015</xref>; <xref ref-type="bibr" rid="B38">Liu et al., 2015</xref>; <xref ref-type="bibr" rid="B23">Galassi et al., 2015</xref>; <xref ref-type="bibr" rid="B4">Batorek-Lukac&#x2c7; et al., 2016</xref>; <xref ref-type="bibr" rid="B58">Shaffer et al., 2017</xref>; <xref ref-type="bibr" rid="B36">Li et al., 2018</xref>; <xref ref-type="bibr" rid="B37">Liu et al., 2019</xref>; <xref ref-type="bibr" rid="B41">Lyu et al., 2018</xref>) with a BW range of 12.5 to 142.5&#xa0;kg and a temperature range of 12&#xb0;C to 35.5&#xb0;C. Data were initially separated by thermoneutral (TN) conditions. Then, temperature effects on HP were analyzed, followed by reporting on LHP data.</p>
<sec id="s3_1">
<title>3.1 Heat production at thermoneutral conditions</title>
<p>The thermoneutral (TN) zone can be classically described as the range of environmental conditions (i.e., inclusive of variable environmental factors of dry-bulb temperature, airspeed, vapor pressure, and surrounding surface temperatures; <xref ref-type="bibr" rid="B16">Curtis, 1983</xref>) in which an animal can maintain a constant body temperature where metabolic heat production is reasonably minimal and constant (<xref ref-type="bibr" rid="B45">Mount, 1974</xref>; <xref ref-type="bibr" rid="B62">Yousef, 1985</xref>). The TN zone of the animal will vary depending on numerous metabolic and environmental factors (<xref ref-type="bibr" rid="B28">Hillman, 2009</xref>). The lower limit of the TN zone is the lower critical temperature, in which pigs use metabolic energy and other physiological and behavioral adaptations to offset heat lost to the environment to maintain core body temperature (<xref ref-type="bibr" rid="B5">Black et&#xa0;al., 1986</xref>). The upper limit lacks a clear definition, but is often regarded as high latent heat loss and the onset of reduced metabolic HP (<xref ref-type="bibr" rid="B16">Curtis, 1983</xref>; <xref ref-type="bibr" rid="B14">CIGR, 2002</xref>; <xref ref-type="bibr" rid="B28">Hillman, 2009</xref>; <xref ref-type="bibr" rid="B54">Renaudeau et&#xa0;al., 2011</xref>). In response to a warming environment, pigs show increased respiration rates and a decreased voluntary feed intake as well as pigs increase body exposure to increased airspeeds and/or cool and wet surfaces to increase heat loss (<xref ref-type="bibr" rid="B16">Curtis, 1983</xref>). Due to this reliance on evaporative heat loss at warm environmental temperatures, heat stress effects on pigs are more definitive at high relative humidity levels (<xref ref-type="bibr" rid="B31">Huynh et&#xa0;al., 2005</xref>).</p>
<p>Data were separated by thermoneutral (TN) conditions as defined by the lower critical temperature (LCT; equation 1) and critical temperature (CT; equation 2; <xref ref-type="bibr" rid="B54">Renaudeau et&#xa0;al., 2011</xref>) to describe the impact of environmental temperature on HP. These threshold temperatures were previously developed from meta-analyses to model the environmental temperature at which average daily gain deteriorates and feed intake changes in responses to a cooling or warming environment (<xref ref-type="bibr" rid="B54">Renaudeau et&#xa0;al., 2011</xref>). The upper range of the TN zone was selected due to the primarily application of this work in environmental control design for housing of growing pigs where high feeding levels are used and the primary goal of the environmental control system design is to limit the negative effects of heat stress (<xref ref-type="bibr" rid="B2">Ames, 1980</xref>). Data were further refined to include only <italic>ab libitum</italic> feeding, resulting in 62 records from 11 references with a temperature range of 14&#xb0;C to 28&#xb0;C and weight range of 12.5 to 106&#xa0;kg.</p>
<disp-formula>
<label>(1)</label>
<mml:math display="block" id="M1">
<mml:mrow>
<mml:mi>L</mml:mi>
<mml:mi>C</mml:mi>
<mml:mi>T</mml:mi>
<mml:mo>=</mml:mo>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>5.867</mml:mn>
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<mml:mrow>
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<mml:mo>+</mml:mo>
<mml:mn>37.254</mml:mn>
</mml:mrow>
</mml:math>
</disp-formula>
<disp-formula>
<label>(2)</label>
<mml:math display="block" id="M2">
<mml:mrow>
<mml:mi>C</mml:mi>
<mml:mi>T</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>40.9</mml:mn>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>4.4</mml:mn>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>ln</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mo>+</mml:mo>
<mml:mi>B</mml:mi>
<mml:mi>W</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:math>
</disp-formula>
<p>LCT = Lower Critical Temperature (&#xb0;C)</p>
<p>CT = Critical Temperature (&#xb0;C)</p>
<p>BW = Body Weight (kg)</p>
<p>Data were log transformed and a Standard Least Squares regression (equation 3) was completed in (JMP Pro 16.1, SAS Inc, Cary, NC) to predict coefficients (&#xb1; SE) and predict HP (P=&lt;0.01).</p>
<p>Growing pigs (12.5 to 106&#xa0;kg; R<sup>2</sup> = 0.707, RMSE = 0.62 W kg<sup>-1</sup>):</p>
<disp-formula>
<label>(3)</label>
<mml:math display="block" id="M3">
<mml:mrow>
<mml:mi>H</mml:mi>
<mml:mi>P</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>15.97</mml:mn>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
<mml:mn>1.05</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mi>B</mml:mi>
<mml:msup>
<mml:mi>W</mml:mi>
<mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mn>0.4037</mml:mn>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
<mml:mn>0.03</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
</mml:mrow>
</mml:msup>
</mml:mrow>
</mml:math>
</disp-formula>
<p>HP = Heat Production (W kg<sup>-1</sup>)</p>
<p>This power law model was compared to <xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al. (2004)</xref> and <xref ref-type="bibr" rid="B13">CIGR (1999)</xref> in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> and graphically depicted in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The CIGR Handbook (<xref ref-type="bibr" rid="B13">CIGR, 1999</xref>) documents HP prediction equations based on the biological principles of heat loss rather than solely based on literature data. The current regression (equation 3) showed an average 4.7% increase in HP compared to HP data summarized from 1988 to 2004 (<xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al., 2004</xref>) over the studied BW range. Percent increase was greater for lower BW (average of 6.1% for 10 to 40&#xa0;kg) and lower for higher BW (average of 3.9% for 45 to 105&#xa0;kg) as shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The CIGR model using the constants given in <xref ref-type="bibr" rid="B47">Pedersen (2002)</xref> seems to over-predict HP in the lighter pigs, as noted by <xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al. (2004)</xref>; however, this equation for pigs heavier than 50&#xa0;kg, underpredicted HP by an average of 6.0%. The heaviest BW found in the literature was 106&#xa0;kg which is below the current U.S.-finishing weight of 127 to 145&#xa0;kg (<xref ref-type="bibr" rid="B43">MetaFarms, 2021</xref>). Limited information on heavier BW finishing pigs may be attributed to the challenges working with these pigs in a research setting and potentially due to marketing agreements that limit the finishing BW.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Comparison of power regression coefficients for heat production.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Scaling Coefficient</th>
<th valign="top" align="center">Exponent, n</th>
<th valign="top" align="center">R<sup>2</sup>
</th>
<th valign="top" align="center">Weight Range (kg)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Before 1988<sup>[a]</sup>
</td>
<td valign="top" align="center">16.11</td>
<td valign="top" align="center">-0.44</td>
<td valign="top" align="center">0.886</td>
<td valign="top" align="center">10-100</td>
</tr>
<tr>
<td valign="top" align="left">
<xref ref-type="bibr" rid="B13">CIGR, 1999</xref>
<sup>[b]</sup>
</td>
<td valign="top" align="center">27.58</td>
<td valign="top" align="center">-0.54</td>
<td valign="top" align="center">N/A</td>
<td valign="top" align="center">10-100</td>
</tr>
<tr>
<td valign="top" align="left">1988 to 2004<sup>[a]</sup>
</td>
<td valign="top" align="center">14.11</td>
<td valign="top" align="center">-0.38</td>
<td valign="top" align="center">0.827</td>
<td valign="top" align="center">10-100</td>
</tr>
<tr>
<td valign="top" align="left">2004 to 2021</td>
<td valign="top" align="center">15.97</td>
<td valign="top" align="center">-0.40</td>
<td valign="top" align="center">0.707</td>
<td valign="top" align="center">13-106</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>[a]</sup> <xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al. (2004)</xref>
</p>
</fn>
<fn>
<p>
<sup>[b]</sup> <xref ref-type="bibr" rid="B13">CIGR (1999)</xref>
</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Swine heat production data for a BW range between 12.5 and 106&#xa0;kg from 19 independent studies from 2004 through 2020. Parameters estimates of the regression equation were significantly different from 0 (P&lt; 0.01).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-03-908434-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>3.2 Temperature effects on heat production</title>
<p>Homeothermic animals, such as swine, must balance heat loss and metabolic HP to maintain a constant core body temperature (<xref ref-type="bibr" rid="B44">Mount, 1968</xref>). The rate of heat loss is governed by the exchange of heat from the pig to its surrounding environment <italic>via</italic> conduction, convection, radiation, and evaporation (<xref ref-type="bibr" rid="B16">Curtis, 1983</xref>). Through a combination of behavioral and physiological responses pigs can modify both heat loss and metabolic HP (<xref ref-type="bibr" rid="B44">Mount, 1968</xref>). In responses to a warming environment, HP is decreased through reduced feed intake (<xref ref-type="bibr" rid="B50">Quiniou and Noblet, 1999</xref>) and for lactating sows, reduced milk production (<xref ref-type="bibr" rid="B6">Black et&#xa0;al., 1993</xref>; <xref ref-type="bibr" rid="B25">Hawe et&#xa0;al., 2020</xref>). The extent a warming environment has on decreased HP is dependent on several factors, such as, age, health status, diet, feed intake, prior thermal conditioning, duration of exposure to elevated temperature, housing conditions (individually or groups housed), and floor type (<xref ref-type="bibr" rid="B19">DeShazer et al., 2009</xref>). Many of these factors are difficult to ascertain from the literature as well as their impact on the production/experimental settings.</p>
<p>The effect of temperature and BW on HP was analyzed using a Mixed model (JMP Pro 16.1, SAS Inc, Cary, NC) with exposed air temperature (T, &#xb0;C), body weight (BW, kg), BW<sup>2</sup>, and BW &#xd7; T as fixed effects and study as a random effect with a residual covariance structure. Parameters such as, acclimatization or sex were not considered due to the lack of balanced data. The random effect of study was found to be significant (P = 0.036). The fixed effects were all significant except BW &#xd7; T (P = 0.09) was trending for significance.</p>
<p>For comparison purposes, a Standard Least Squares model (fixed effects of temperature and BW) was used to compare with <xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al. (2004)</xref>. The resulting equation (R<sup>2</sup> = 0.61; RMSE = 0.08 W/kg; P&lt;0.001) is depicted in equation 4 and depicted in <xref ref-type="fig" rid="f2">
<bold>Figure 2</bold>
</xref>. Regardless of temperature, the prediction formula showed greater estimates of HP for pigs &#x2264;30 kg BW and lower estimates of HP for pigs &#x2265;75 kg BW compared to Brown-Brandl et&#xa0;al. (2004). The difference in HP was rather insensitive to temperature, that is, if BW was constant and temperature ranged from 16&#xb0;C to 30&#xb0;C, difference in HP between <xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al. (2004)</xref> and this study was relatively similar; however, a slight decreasing trend in the difference in HP was noted for increasing temperatures.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>All growing pig total heat production as a function of reported or mean body weight identified by reference (marker shape and outline color) and reported study temperature (marker color).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-03-908434-g002.tif"/>
</fig>
<disp-formula>
<label>(4)</label>
<mml:math display="block" id="M4">
<mml:mrow>
<mml:mi>log</mml:mi>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mi>H</mml:mi>
<mml:mi>P</mml:mi>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>=</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>1.351</mml:mn>
<mml:mo>&#xb1;</mml:mo>
<mml:mn>0.07</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mo>&#x2212;</mml:mo>
<mml:mrow>
<mml:mo>(</mml:mo>
<mml:mrow>
<mml:mn>0.004</mml:mn>
<mml:mo>&#xb1;</mml:mo>
<mml:mn>0.002</mml:mn>
</mml:mrow>
<mml:mo>)</mml:mo>
</mml:mrow>
<mml:mi>T</mml:mi>
<mml:mo>&#x2212;</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>0.454</mml:mn>
<mml:mo>&#xb1;</mml:mo>
<mml:mn>0.03</mml:mn>
<mml:mo stretchy="false">)</mml:mo>
<mml:mi>log</mml:mi>
<mml:mi>B</mml:mi>
<mml:mi>W</mml:mi>
</mml:mrow>
</mml:math>
</disp-formula>
<p>HP = Heat Production (W/kg)</p>
<p>T = Air Temperature (&#xb0;C)</p>
<p>BW = Body Weight (kg)</p>
</sec>
<sec id="s3_3">
<title>3.3 Latent heat production</title>
<p>Only 2 (i.e., <xref ref-type="bibr" rid="B53">Renaudeau et&#xa0;al., 2013</xref> and <xref ref-type="bibr" rid="B9">Brown-Brandl et&#xa0;al., 2014</xref>) studies of 33 references reported LHP. The rate of LHP depends on the thermal environment (i.e., temperature) the pigs are exposed to and the experiment setting (i.e., housing), such that, the LHP of the animal is different than the LHP of the facility (i.e., due to manure handling, drinker type, and other moisture sources; <xref ref-type="bibr" rid="B19">DeShazer et&#xa0;al., 2009</xref>). Moisture sources contributing to the latent heat load are important for building design and are poorly documented in livestock and poultry housing (<xref ref-type="bibr" rid="B1">Albright, 1990</xref>). Conversely, the LHP of the pigs is important to understanding the onset and response to heat stress conditions (<xref ref-type="bibr" rid="B31">Huynh et&#xa0;al., 2005</xref>). Classical thermoregulation shows the ratio between SHP and LHP decreases as the environment warms (<xref ref-type="bibr" rid="B16">Curtis, 1983</xref>). As the difference between air temperature (or surrounding temperatures) and pig skin temperature decreases, pigs must lose heat <italic>via</italic> evaporation resulting in increased LHP (<xref ref-type="bibr" rid="B19">DeShazer et&#xa0;al., 2009</xref>). Understanding the thermal conditions that cause the increased rate of change in the SHP to LHP ratio is important for assessing thermoregulatory responses (<xref ref-type="bibr" rid="B16">Curtis, 1983</xref>). More data were present in this study, compared to <xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al. (2004)</xref>; however, creation of correction factors for facility contributions to reported LHP could not be calculated due to lack of information and variety of experimental settings.</p>
<p>Production facility contributions to latent heat load are important for building design (<xref ref-type="bibr" rid="B1">Albright, 1990</xref>). Unfortunately, it is difficult to determine a global LHP estimate that works for the multitude of different animal facilities. A statistical analysis of the LHP was not performed because of lack of sufficient data and variable experimental design; however, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> presents the summary statistics.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Summary statistics for latent heat production from growing pigs.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center"/>
<th valign="top" align="center">BW (kg)</th>
<th valign="top" align="center">Mean or Middle Temperature (&#xb0;C)</th>
<th valign="top" align="center">THP (W/kg)</th>
<th valign="top" align="center">THP (W)</th>
<th valign="top" align="center">THP(kcal/h/kg BW<sup>-0.75</sup>)</th>
<th valign="top" align="center">LHP (W/kg)</th>
<th valign="top" align="center">LHP (W)</th>
<th valign="top" align="center">LHP(kcal/h/kg BW<sup>-0.75</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="6" align="left">Barrows</td>
<td valign="top" align="left">
<italic>n<sup>[a]</sup>
</italic>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">
<italic>71</italic>
</td>
<td valign="top" align="center">
<italic>71</italic>
</td>
<td valign="top" align="center">
<italic>71</italic>
</td>
<td valign="top" align="center">
<italic>9</italic>
</td>
<td valign="top" align="center">
<italic>9</italic>
</td>
<td valign="top" align="center">
<italic>9</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">Maximum</td>
<td valign="top" align="center">135.0</td>
<td valign="top" align="center">32.0</td>
<td valign="top" align="center">5.20</td>
<td valign="top" align="center">311</td>
<td valign="top" align="center">9.46</td>
<td valign="top" align="center">1.78</td>
<td valign="top" align="center">158</td>
<td valign="top" align="center">4.71</td>
</tr>
<tr>
<td valign="top" align="left">Minimum</td>
<td valign="top" align="center">20.0</td>
<td valign="top" align="center">12.0</td>
<td valign="top" align="center">1.72</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">4.60</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">1.56</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">65.2</td>
<td valign="top" align="center">22.6</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="center">177</td>
<td valign="top" align="center">7.00</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">3.09</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">31.68</td>
<td valign="top" align="center">3.65</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">1.15</td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">0.86</td>
</tr>
<tr>
<td valign="top" align="left">Median</td>
<td valign="top" align="center">60.0</td>
<td valign="top" align="center">22.0</td>
<td valign="top" align="center">2.97</td>
<td valign="top" align="center">181</td>
<td valign="top" align="center">7.28</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">3.28</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Gilts</td>
<td valign="top" align="left">
<italic>n<sup>[a]</sup>
</italic>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">
<italic>38</italic>
</td>
<td valign="top" align="center">
<italic>38</italic>
</td>
<td valign="top" align="center">
<italic>38</italic>
</td>
<td valign="top" align="center">
<italic>5</italic>
</td>
<td valign="top" align="center">
<italic>5</italic>
</td>
<td valign="top" align="center">
<italic>5</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">Maximum</td>
<td valign="top" align="center">106.0</td>
<td valign="top" align="center">35.5</td>
<td valign="top" align="center">3.15</td>
<td valign="top" align="center">334</td>
<td valign="top" align="center">8.69</td>
<td valign="top" align="center">1.6</td>
<td valign="top" align="center">129</td>
<td valign="top" align="center">4.02</td>
</tr>
<tr>
<td valign="top" align="left">Minimum</td>
<td valign="top" align="center">62.0</td>
<td valign="top" align="center">15.5</td>
<td valign="top" align="center">2.18</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">5.65</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">1.25</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">72.4</td>
<td valign="top" align="center">24.3</td>
<td valign="top" align="center">2.78</td>
<td valign="top" align="center">201</td>
<td valign="top" align="center">6.97</td>
<td valign="top" align="center">1.0</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">2.48</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">13.31</td>
<td valign="top" align="center">5.98</td>
<td valign="top" align="center">0.24</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.40</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">0.94</td>
</tr>
<tr>
<td valign="top" align="left">Median</td>
<td valign="top" align="center">67.0</td>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center">2.86</td>
<td valign="top" align="center">187</td>
<td valign="top" align="center">7.04</td>
<td valign="top" align="center">0.9</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">2.30</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Mixed</td>
<td valign="top" align="left">
<italic>n<sup>[a]</sup>
</italic>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">
<italic>35</italic>
</td>
<td valign="top" align="center">
<italic>35</italic>
</td>
<td valign="top" align="center">
<italic>35</italic>
</td>
<td valign="top" align="center">
<italic>31</italic>
</td>
<td valign="top" align="center">
<italic>31</italic>
</td>
<td valign="top" align="center">
<italic>31</italic>
</td>
</tr>
<tr>
<td valign="top" align="left">Maximum</td>
<td valign="top" align="center">142.5</td>
<td valign="top" align="center">35.0</td>
<td valign="top" align="center">7.34</td>
<td valign="top" align="center">433</td>
<td valign="top" align="center">12.76</td>
<td valign="top" align="center">5.6</td>
<td valign="top" align="center">264</td>
<td valign="top" align="center">9.53</td>
</tr>
<tr>
<td valign="top" align="left">Minimum</td>
<td valign="top" align="center">12.5</td>
<td valign="top" align="center">18.0</td>
<td valign="top" align="center">0.98</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">2.79</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">2.10</td>
</tr>
<tr>
<td valign="top" align="left">Mean</td>
<td valign="top" align="center">51.1</td>
<td valign="top" align="center">24.6</td>
<td valign="top" align="center">3.45</td>
<td valign="top" align="center">130</td>
<td valign="top" align="center">6.95</td>
<td valign="top" align="center">2.4</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">4.80</td>
</tr>
<tr>
<td valign="top" align="left">SD</td>
<td valign="top" align="center">39.01</td>
<td valign="top" align="center">3.96</td>
<td valign="top" align="center">1.72</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center">2.50</td>
<td valign="top" align="center">1.53</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">2.29</td>
</tr>
<tr>
<td valign="top" align="left">Median</td>
<td valign="top" align="center">34.1</td>
<td valign="top" align="center">25.0</td>
<td valign="top" align="center">3.24</td>
<td valign="top" align="center">118</td>
<td valign="top" align="center">7.29</td>
<td valign="top" align="center">1.9</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">4.03</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>[a]</sup>number of records.</p>
</fn>
<fn>
<p>Latent heat production values are uncorrected for body weight and temperature. BW, body weight; THP, total heat production; LHP, latent heat production.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<title>4 Breeding pigs</title>
<p>Breeding pig data were separated into gestating sows and lactating sows plus litter. For gestating sows, data included 5 records from 2 references (<xref ref-type="bibr" rid="B9">Brown-Brandl et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B61">Stinn and Xin, 2014</xref>); therefore, gestating sows were excluded from statistical analysis and summary statistics are presented in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. The data represented in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> were collected from sows housed in gestation stalls. However, <xref ref-type="bibr" rid="B9">Brown-Brandl et&#xa0;al. (2014)</xref> collected data on pen gestation sows, but they were in small pens and floor fed. As transitions to pen gestation occur (<xref ref-type="bibr" rid="B57">Schulz and Tonsor, 2015</xref>), updated heat and moisture production values will be needed because increased activity in pen housing is expected to increase HP (<xref ref-type="bibr" rid="B39">Lucy and Safranski, 2017</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Summary statistics for heat production from gestating sows and lactating sow plus litter.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="middle" align="center"/>
<th valign="bottom" align="center">BW (kg)</th>
<th valign="bottom" align="center">T    (&#xb0;C)</th>
<th valign="bottom" align="center">THP (W/kg)</th>
<th valign="bottom" align="center">THP (W)</th>
<th valign="bottom" align="center">THP (kcal/h/kg BW<sup>-0.75</sup>)</th>
<th valign="bottom" align="center">LHP (W/kg)</th>
<th valign="bottom" align="center">LHP (W)</th>
<th valign="bottom" align="center">LHP (kcal/h/kg BW<sup>-0.75</sup>)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="5" align="left">Gestating Sows<sup>[a]</sup>
</td>
<td valign="middle" align="left">Maximum</td>
<td valign="middle" align="center">219.0</td>
<td valign="middle" align="center">25.0</td>
<td valign="middle" align="center">1.9</td>
<td valign="middle" align="center">372</td>
<td valign="middle" align="center">5.98</td>
<td valign="middle" align="center">1.3</td>
<td valign="middle" align="center">232</td>
<td valign="middle" align="center">4.02</td>
</tr>
<tr>
<td valign="middle" align="left">Minimum</td>
<td valign="middle" align="center">183.0</td>
<td valign="middle" align="center">18.3</td>
<td valign="middle" align="center">1.3</td>
<td valign="middle" align="center">270</td>
<td valign="middle" align="center">4.08</td>
<td valign="middle" align="center">0.4</td>
<td valign="middle" align="center">84</td>
<td valign="middle" align="center">1.26</td>
</tr>
<tr>
<td valign="middle" align="left">Mean</td>
<td valign="middle" align="center">205.8</td>
<td valign="middle" align="center">21.7</td>
<td valign="middle" align="center">1.7</td>
<td valign="middle" align="center">337</td>
<td valign="middle" align="center">5.36</td>
<td valign="middle" align="center">0.9</td>
<td valign="middle" align="center">178</td>
<td valign="middle" align="center">2.85</td>
</tr>
<tr>
<td valign="middle" align="left">SD</td>
<td valign="middle" align="center">14.79</td>
<td valign="middle" align="center">3.12</td>
<td valign="middle" align="center">0.27</td>
<td valign="middle" align="center">39</td>
<td valign="middle" align="center">0.71</td>
<td valign="middle" align="center">0.34</td>
<td valign="middle" align="center">62</td>
<td valign="middle" align="center">0.96</td>
</tr>
<tr>
<td valign="middle" align="left">Median</td>
<td valign="middle" align="center">204.0</td>
<td valign="middle" align="center">20.0</td>
<td valign="middle" align="center">1.8</td>
<td valign="middle" align="center">346</td>
<td valign="middle" align="center">5.71</td>
<td valign="middle" align="center">1.0</td>
<td valign="middle" align="center">213</td>
<td valign="middle" align="center">3.24</td>
</tr>
<tr>
<td valign="middle" rowspan="5" align="left">Lactating Sows + Litter<sup>[b]</sup>
</td>
<td valign="middle" align="left">Maximum</td>
<td valign="middle" align="center">283.0</td>
<td valign="middle" align="center">29.0</td>
<td valign="middle" align="center">4.9</td>
<td valign="middle" align="center">1,239</td>
<td valign="middle" align="center">16.70</td>
<td valign="middle" align="center">2.3</td>
<td valign="middle" align="center">517</td>
<td valign="middle" align="center">7.73</td>
</tr>
<tr>
<td valign="middle" align="left">Minimum</td>
<td valign="middle" align="center">184.4</td>
<td valign="middle" align="center">18.0</td>
<td valign="middle" align="center">1.6</td>
<td valign="middle" align="center">416</td>
<td valign="middle" align="center">5.40</td>
<td valign="middle" align="center">1.4</td>
<td valign="middle" align="center">366</td>
<td valign="middle" align="center">5.25</td>
</tr>
<tr>
<td valign="middle" align="left">Mean</td>
<td valign="middle" align="center">250.3</td>
<td valign="middle" align="center">21.5</td>
<td valign="middle" align="center">2.7</td>
<td valign="middle" align="center">676</td>
<td valign="middle" align="center">9.27</td>
<td valign="middle" align="center">1.9</td>
<td valign="middle" align="center">447</td>
<td valign="middle" align="center">6.31</td>
</tr>
<tr>
<td valign="middle" align="left">SD</td>
<td valign="middle" align="center">20.51</td>
<td valign="middle" align="center">2.63</td>
<td valign="middle" align="center">0.86</td>
<td valign="middle" align="center">212</td>
<td valign="middle" align="center">2.89</td>
<td valign="middle" align="center">0.24</td>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">0.73</td>
</tr>
<tr>
<td valign="middle" align="left">Median</td>
<td valign="middle" align="center">255.0</td>
<td valign="middle" align="center">20.0</td>
<td valign="middle" align="center">2.3</td>
<td valign="middle" align="center">594</td>
<td valign="middle" align="center">7.89</td>
<td valign="middle" align="center">1.9</td>
<td valign="middle" align="center">448</td>
<td valign="middle" align="center">6.27</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>[a]</sup> number of records = 5</p>
</fn>
<fn>
<p>
<sup>[b]</sup> number of records = 43</p>
</fn>
<fn>
<p>Gestating sow data are from gestation stall housing and heat production values are uncorrected for temperature. BW, body weight; T, average or middle reported air temperature; THP, total heat production; LHP, latent heat production.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>For lactating sows plus litter, data included 43 records from 5 references (<xref ref-type="bibr" rid="B32">Jakobsen et al., 2005</xref>; <xref ref-type="bibr" rid="B61">Stinn and Xin, 2014</xref>; <xref ref-type="bibr" rid="B9">Brown-Brandl et al., 2014</xref>; <xref ref-type="bibr" rid="B48">Pedersen et al., 2019</xref>; <xref ref-type="bibr" rid="B10">Cabez&#xf3;n et al., 2017</xref>) representing a mass range of 184 to 283&#xa0;kg and a temperature range of 18&#xb0;C to 29&#xb0;C. A visual representation of the data (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) shows high variability and no apparent trends related to the influence of sow plus litter mass or temperature. This may be attributed to feeding level and regime during HP data collection. If sows were potentially fed <italic>ad-libitum</italic>, but simply did not consume feed during the measurements, which is expected, or if they were moved to conduct the measurements &#x2013; this may result in less or greater levels of HP during data collection. As a result, no statistical analysis was performed using these data. Summary statistics for lactating sows plus litter are presented in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. More information is needed on breeding stock pigs, especially as housing systems continue to change.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Lactating sow plus litter total heat production (black marker outline) and latent heat production (red marker outline) as a function of sow plus litter mass and identified by reference (marker shape) and reported study temperature (marker color).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fanim-03-908434-g003.tif"/>
</fig>
</sec>
<sec id="s5">
<title>5 Future considerations</title>
<p>Measurement of metabolic HP provides information to address a variety of different research goals, such as estimating ventilation rate to remove heat and moisture from facilities (<xref ref-type="bibr" rid="B1">Albright, 1990</xref>), understanding the effects of different feed ingredients energy partitioning (<xref ref-type="bibr" rid="B20">DeShazer and Yen, 2009</xref>), and impact of heat stress on lactation output (<xref ref-type="bibr" rid="B10">Cabez&#xf3;n et&#xa0;al., 2017</xref>). However, there are numerous factors that impact heat production (e.g., feed energy, environment, genetics, housing, measurement; <xref ref-type="bibr" rid="B16">Curtis, 1983</xref>), scholarly sources, and disciplines involved in the research (<xref ref-type="bibr" rid="B8">Brown-Brandl et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B54">Renaudeau et&#xa0;al., 2011</xref>), thereby leading to inconsistent and incomplete reporting to create robust datasets of HP. We encourage the creation of a standardized reporting procedure that could accompany studies that report metabolic heat production. Such a procedure would involve the usage of standard units of measure and completion of a table that could accompany the research as a supplementary table in the appendix or supplemental material section. This table would include key information for reliable and accurate comparison across studies. Examples are provided in <xref ref-type="table" rid="T4">
<bold>Tables&#xa0;4</bold>
</xref> and <xref ref-type="table" rid="T5">
<bold>5</bold>
</xref>.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Proposed standard reporting of heat production data with respect to housing and environment data.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Experiment no.</th>
<th valign="top" align="center">Conditioning (days)<sup>[a]</sup>
</th>
<th valign="top" align="center">Exposure (days)<sup>[b]</sup>
</th>
<th valign="top" align="center">Calorimeter type<sup>[c]</sup>
</th>
<th valign="top" align="center">No. of animals</th>
<th valign="top" align="center">No. animals per group</th>
<th valign="top" align="center">Nominal dimensions<sup>[d]</sup> (m x m x m)</th>
<th valign="top" align="center">Floor type<sup>[e]</sup>
</th>
<th valign="top" align="center">Cooling type<sup>[f]</sup>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>[a]</sup>Number of days the animals were subjected to ambient conditions prior to the heat production measurement.</p>
</fn>
<fn>
<p>
<sup>[b]</sup>Number of days the animals were subjected to test conditions during heat production measurement.</p>
</fn>
<fn>
<p>
<sup>[c]</sup>For example, direct, indirect, facility/room-level.</p>
</fn>
<fn>
<p>
<sup>[d]</sup>Length x Width x Height</p>
</fn>
<fn>
<p>
<sup>[e]</sup>For example, slatted concrete, metal woven, plastic, etc.</p>
</fn>
<fn>
<p>
<sup>[f]</sup>For example, sprinklers, air conditions, wallowing, etc.</p>
</fn>
<fn>
<p>Continued in <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Continuation of <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> of proposed standard reporting of heat production data.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Experiment no.</th>
<th valign="top" align="center">Mean air T   (&#xb0;C)</th>
<th valign="top" align="center">Mean RH (%)</th>
<th valign="top" align="center">Mean airspeed (m/s)</th>
<th valign="top" align="center">Mean BW (kg)</th>
<th valign="top" align="center">THP (W)</th>
<th valign="top" align="center">SH (W)</th>
<th valign="top" align="center">LH (W)</th>
<th valign="top" align="center">RQ (CO<sub>2</sub>/O<sub>2</sub>)</th>
<th valign="top" align="center">Gain (kg/d)</th>
<th valign="top" align="center">FI (kg)</th>
<th valign="top" align="center">Feeding level<sup>[a]</sup>
</th>
<th valign="top" align="center">Feed ME (kcal/kg)</th>
<th valign="top" align="center">Mean BW (kg)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
</tr>
<tr>
<td valign="top" align="left">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
</tr>
<tr>
<td valign="top" align="left">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
<td valign="top" align="center">.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>[a]</sup>Limit fed or ab libitum.</p>
</fn>
<fn>
<p>ME, metabolizable energy; T, temperature; RH, relative humidity; BW, body weight; THP, total heat production; LH, latent heat; and SH, sensible heat; RQ, respiratory quotient; and FI, feed intake.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>More information on the range of environmental conditions affecting heat loss and the subsequent impact of the effective environment on HP are needed. Studies need to report the effective environment, that is, air temperature, relative humidity, air velocity, and mean radiant temperature to ensure sufficient detail is present to drive the context of results for greater comparison and to support the development of more robust heat transfers models. An imbalance in metabolic HP and heat lost to the environment <italic>via</italic> convection, conduction, radiation, or evaporation, directly impacts core body temperature (<xref ref-type="bibr" rid="B44">Mount, 1968</xref>). Hence, the basis for mechanistic thermo-physiological models is metabolic HP (<xref ref-type="bibr" rid="B20">DeShazer and Yen, 2009</xref>). For example, <xref ref-type="bibr" rid="B29">Huang et&#xa0;al. (2021)</xref> used the <xref ref-type="bibr" rid="B14">CIGR (2002)</xref> model for growing pigs and for sows, six days of CO<sub>2</sub> production collected in 2016, where they found HP to be 14% greater than using <xref ref-type="bibr" rid="B14">CIGR (2002)</xref>.</p>
<p>While calorimetry methods for individual or small groups of animals can be used to measure HP and LHP data (Brown-Brandl et&#xa0;al., 2004); however, field data collected at the facility or room level are necessary to supplement LHP data and subsequently determine moisture production (<xref ref-type="bibr" rid="B1">Albright, 1990</xref>; Brown-Brandl et&#xa0;al., 2004). Facilities that characterize different manure management systems, ventilation system styles, and production environments are needed to create more robust information in SHP and moisture production for use in ventilation design.</p>
<p>Heat stress negatively affects the overall sustainability of swine production by negatively impacting environmental footprint, profitability, and animal welfare. Climate forecasts and improved genetic performance suggest potentially increasingly negative impacts of heat stress (<xref ref-type="bibr" rid="B42">Mayorga et&#xa0;al., 2019</xref>). Significant increases in heat stress intensity and duration, as well as warming temperatures will have an impact on current and future heat stress abatement strategies for growing and breeding pigs (<xref ref-type="bibr" rid="B55">Schauberger et&#xa0;al., 2020</xref>). Heat stress abatement strategies include improved mechanical ventilation/cooling systems, stocking density, slower growing pigs, more heat tolerant lines/strains (genetic selection/genomic strategies), and nutritional measures (<xref ref-type="bibr" rid="B59">Skuce et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B56">Schauberger et&#xa0;al., 2019</xref>). Timely and accurate heat production data directly informs the calculation of thermal loads for ventilation/cooling systems and assesses the impacts of different stocking density, growth rate, genetic lines, and nutrition. Therefore, heat production data are required to properly design and evaluate heat stress abatement strategies to lessen negative impacts. Engineering of future controlled swine environments will need improved energetics modeling at thermoneutral and heat stress conditions, heat exchange modeling of building structures with updated energetics data, advanced approaches to environmental control, and development technology that improves sensing, controlling, and modifying the environment (<xref ref-type="bibr" rid="B51">Ramirez, 2022</xref>). Established standards and models that describe key analytical methods for design and include foundational data to enable design computations, and criteria/goals for different environments are paramount to the engineering process. Consistent and accurate updates to heat and moisture production of growing and breeding pigs are essential to ensure modern intensive housing is able to provide the proper housing and ventilation for prolific pigs in a changing climate.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>BR: Conceptualization, Methodology, Investigation, Writing &#x2013; Original Draft, Supervision, Project administration. SH: Conceptualization, Methodology, Formal Analysis, Investigation, Writing &#x2013; Original Draft. MH: Conceptualization, Writing &#x2013; Review and Editing. TB-B: Conceptualization, Writing &#x2013; Review and Editing. JH: Conceptualization, Writing &#x2013; Review and Editing. GR: Conceptualization, Writing &#x2013; Review and Editing. All: Funding Acquisition. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This research was funded in part by Critical Agricultural Research and Extension (CARE) grant no. 2020-68008-31558/project accession no. 1022743 from the USDA National Institute of Food and Agriculture (NIFA) as well as internal funding from USDA Agricultural Research Service (ARS). BR and JH: This work is also a product of the Iowa Agriculture and Home Economics Experiment Station, Ames, Iowa. Project Number IOW04100 is sponsored by Hatch Act and State of Iowa funds. The open access publication fees for this article were covered by the Iowa State University Library.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be constructed as a potential conflict of interest.</p>
<p>This study received funding from USDA NIFA. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article, or the decision to submit it for publication.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Author disclaimer</title>
<p>The content of this article was however solely the responsibility of the authors and does not represent the official views of the USDA. USDA is an equal opportunity employer.</p>
</sec>
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