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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">AAB</journal-id>
<journal-title-group>
<journal-title>Archives Animal Breeding</journal-title>
<abbrev-journal-title abbrev-type="publisher">AAB</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Arch. Anim. Breed.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2363-9822</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/aab-59-65-2016</article-id><title-group><article-title>The peripartum period influenced the serum macromineral profile in
mares</article-title>
      </title-group><?xmltex \runningtitle{The peripartum period influenced the serum macromineral profile}?><?xmltex \runningauthor{M.~Bazzano et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Bazzano</surname><given-names>M.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Giudice</surname><given-names>E.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Giannetto</surname><given-names>C.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Fazio</surname><given-names>F.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff3">
          <name><surname>Scollo</surname><given-names>C.</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Piccione</surname><given-names>G.</given-names></name>
          <email>giuseppe.piccione@unime.it</email>
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Veterinary Sciences, University of Messina,
Polo universitario dell'Annunziata, 98168, Messina, Italy</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Departement of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina,
Viale Ferdinando Stagno d'Alcontres 31, 98166, S. Agata-Messina, Italy</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Independent veterinary practitioner, Catania, Italy</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">G. Piccione (giuseppe.piccione@unime.it)</corresp></author-notes><pub-date><day>27</day><month>January</month><year>2016</year></pub-date>
      
      <volume>59</volume>
      <issue>1</issue>
      <fpage>65</fpage><lpage>70</lpage>
      <history>
        <date date-type="received"><day>17</day><month>July</month><year>2015</year></date>
           <date date-type="rev-recd"><day>23</day><month>November</month><year>2015</year></date>
           <date date-type="accepted"><day>12</day><month>January</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://aab.copernicus.org/articles/59/65/2016/aab-59-65-2016.html">This article is available from https://aab.copernicus.org/articles/59/65/2016/aab-59-65-2016.html</self-uri>
<self-uri xlink:href="https://aab.copernicus.org/articles/59/65/2016/aab-59-65-2016.pdf">The full text article is available as a PDF file from https://aab.copernicus.org/articles/59/65/2016/aab-59-65-2016.pdf</self-uri>


      <abstract>
    <p>Changes in metabolic requirements during pregnancy may produce nutritional
imbalances predisposing mares to pathological conditions. Therefore, we aimed
to examine changes in serum macrominerals during the peripartum period in
mares. Fifteen pregnant mares (Group A) were monitored starting at the
263rd day of pregnancy until the 21st day after foaling. Seven non-pregnant
and non-lactating mares were used as a control group (Group B). Group A was
subjected to blood sampling within <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>24</mml:mn><mml:mo>±</mml:mo><mml:mn>12</mml:mn></mml:mrow></mml:math></inline-formula> h after parturition (P) and
then 7, 14 and 21 days after foaling (<inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>1, <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>2, <inline-formula><mml:math display="inline"><mml:mo>+</mml:mo></mml:math></inline-formula>3 weeks,
respectively). Group B was subjected to regular sampling throughout the
study to ensure that seasonal changes had no significant effect on studied
parameters. Serum samples were analysed for serum electrolytes including
sodium (Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, potassium (K<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, calcium (Ca<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, phosphorus
(P<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, chloride (Cl<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and magnesium (Mg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>. Two-way repeated
measures of analysis of variance (ANOVA) was applied to evaluate significant
effects of peripartum on electrolyte concentrations. Group A showed a
decrease in Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> concentrations (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.011</mml:mn></mml:mrow></mml:math></inline-formula>) after foaling and lower
P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentrations (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.015</mml:mn></mml:mrow></mml:math></inline-formula>) compared to Group B throughout the
study. The linear regression model showed an increase in Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>
concentrations (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.002</mml:mn></mml:mrow></mml:math></inline-formula>) and a gradual decrease in serum Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math></inline-formula>) during pregnancy. Because the most significant changes in serum
electrolytes occurred within 2 weeks before and 2 weeks after foaling,
monitoring serum electrolyte concentrations would indicate whether the mare
needs further mineral supplementation at this stage. The significant changes
in a mare's macromineral profile that we observed over the peripartum provide
enhanced knowledge about mineral interrelations and their modifications
during specific physiological conditions such as late pregnancy and early
postpartum.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Almost every process of an animal's body depends for proper functioning on
one or more of the mineral elements. Macrominerals such as calcium
(Ca<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, phosphorus (P<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, sodium (Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, chloride (Cl<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>,
potassium (K<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and magnesium (Mg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> are needed for body structure
as well as for maintaining the acid–base balance, fluid balance and
transmembrane potential for cellular function, nerve conduction and muscle
contraction (Cunha, 1980; Harvey et al., 2005). Minerals gain special
importance during specific phases of animal life such as growth,
reproduction and lactation (Cunha, 1980). At these stages, maintaining a balanced amount of all minerals is necessary to preserve an animal's health
(Lewis, 1995). The increased need for minerals during the peripartum period
determines significant changes in mineral metabolism. This may produce a
mineral imbalance leading to the onset of pathological conditions, for
instance hypocalcaemia (Filipović et al., 2010). A study by Sevinga et
al. (2002) found that Friesian mares with retained placenta showed lower
serum Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> levels compared to mares that shed the placenta
spontaneously. A hypomagnesemic tetany responsive to Mg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>
administration has been reported in lactating mares as well (Lewis, 1995). A
few researchers have dealt with adjustments occurring in a mare's physiology during
the peripartum period, focusing on clotting (Bazzano et al., 2014a) and haematological (Bazzano et al., 2014b, 2015) and biochemical profiles (Harvey et
al., 2005; Aoki and Ishii, 2012; Satué and Montesinos, 2013; Bazzano
et al., 2014c; Mariella et al., 2014). It has been shown that a series of
hormonal and metabolic changes occur to modulate the maternal supply of
energy and nutrients to the foeto-placental unit (Larsson et al., 2008). As
gestation progresses, the direction and magnitude of these changes in
maternal organism mainly depends on the increase in foetal metabolic
requirements (Satué and Montesinos, 2013). Changes in a mare's metabolism
continue during the postpartum period, when a certain amount of minerals is
lost through milk production (Filipović et al., 2010): equine milk contains considerable concentrations of macrominerals that vary
significantly during lactation (Salimei and Fantuz, 2012).</p>
      <p>A general tendency of indiscriminately administrating mineral supplements to pregnant and
lactating mares has developed in the last few years. Because little information on serum electrolytes is available for
periparturient mares (Rook et al., 1997; Harvey et al., 2005), we aimed to
determine whether physiological adjustments in serum macromineral concentrations
occur when pregnant mares are fed a balanced diet. In addition, in this study
we want to assess whether statistical correlations between studied minerals
exist in pregnant and non-pregnant mares.</p>
</sec>
<sec id="Ch1.S2">
  <title>Materials and methods</title>
<sec id="Ch1.S2.SS1">
  <title>Animals</title>
      <p>Twenty-two clinically healthy mares (eight Italian Saddle Horses, eight Thoroughbreds,
six Standardbreds), aged between 4 and 17 years, were considered in the present study.
Animals from the same breeding centre, Istituto Incremento Ippico per la Sicilia (latitude 37.46<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N; longitude 14.93<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> E), were housed in individual straw-bedded
boxes under natural photoperiod. Fifteen pregnant mares (Group A) were monitored from <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>263</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> days of
pregnancy until 21 days after foaling; seven non-pregnant non-lactating
mares served as controls (Group B). The mean gestation length was <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>340</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">9</mml:mn></mml:mrow></mml:math></inline-formula> days. Following parturition the mares were subjected to clinical
examinations over 3 consecutive days, and ultrasound examination
(M-Turbo<sup>®</sup>, FUJIFILM SonoSite, London, United Kingdom) was performed weekly to monitor the uterine involution and ovarian activity. The
mares from Group A, with a mean body condition score (BCS) of 6.0–7.5, received
<inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">6</mml:mn><mml:mo>±</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> dried grass hay (crude protein 9 %, crude fibre 35 %,
Ca 0.4 %, P 0.23 %) and <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>±</mml:mo><mml:mn>0.5</mml:mn></mml:mrow></mml:math></inline-formula> kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> commercially available
concentrates (crude protein 16 %, crude fat 6 %, crude fibre 7.35 %,
ash 10.09 %, Ca <inline-formula><mml:math display="inline"><mml:mo>/</mml:mo></mml:math></inline-formula> P 1.5 : 1, Na 0.46 %, lysine 0.85 %, methionine
0.35 %, omega-3 0.65 %). The mares from Group B, with a mean BCS of 5.5–7.0,
received <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">5</mml:mn><mml:mo>±</mml:mo><mml:mn>0.5</mml:mn></mml:mrow></mml:math></inline-formula> kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> hay and <inline-formula><mml:math display="inline"><mml:mrow><mml:mn mathvariant="normal">2</mml:mn><mml:mo>±</mml:mo><mml:mn>0.5</mml:mn></mml:mrow></mml:math></inline-formula> kg day<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> concentrates.
Animals were moved to paddocks from 10:00 to 16:00 LT. All treatments,
housing and animal care were carried out in accordance with the standards
recommended by the EU Directive 2010/63/EU for animal experiments.</p>
</sec>
<sec id="Ch1.S2.SS2">
  <title>Data collection</title>
      <p>Sampling was performed weekly in the morning (07:00 LT) until the time of
parturition. A total of 12 samples was collected from pregnant mares before
parturition (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn>12</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>). Furthermore, animals were subjected to blood
sampling within <inline-formula><mml:math display="inline"><mml:mrow><mml:mn>24</mml:mn><mml:mo>±</mml:mo><mml:mn>12</mml:mn></mml:mrow></mml:math></inline-formula> h from parturition (P) and then 7, 14 and 21 days
after foaling (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula> weeks, respectively). The same blood sampling that was carried out in Group A was also
carried out in Group B to ensure that
seasonal changes had no significant effect on studied parameters. Blood
samples were collected by jugular venipuncture into 10 mL vacuum tubes
containing clot activators (Terumo Corporation, Tokyo, Japan). Samples were
centrifuged at 1300 g for 10 min, within 30 min of collection, and the
obtained sera were stored at <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn>20</mml:mn></mml:mrow></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula>C until analysis. Serum
concentration of calcium (Ca<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, phosphorus (P<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, chloride
(Cl<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and magnesium (Mg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were assessed by means of UV
spectrophotometry (Slim, SEAC, Italy), while sodium (Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and potassium
(K<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> were analysed using semiautomatic flame photometry (FP 20, SEAC,
Italy). Commercially available kits were used for macromineral detection.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Means <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard error of the mean (SEM) of Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>, K<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>,
Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>, Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>, P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and Mg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> obtained from pregnant (Group A)
and control (Group B) mares. Time is expressed as weeks before (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn>12</mml:mn></mml:mrow></mml:math></inline-formula> to
<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>) and after (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> to <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">3</mml:mn></mml:mrow></mml:math></inline-formula>) parturition (P). Significance: “a” vs. <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula>
and <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>).</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://aab.copernicus.org/articles/59/65/2016/aab-59-65-2016-f01.png"/>

        </fig>

</sec>
<sec id="Ch1.S2.SS3">
  <title>Statistical analysis</title>
      <p>All data are expressed as means <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> standard error of the mean (SEM).
Data were tested for normality using the Shapiro–Wilk normality test.
Two-way repeated measures of analysis of variance (ANOVA) was applied to
evaluate significant effects of peripartum on electrolyte concentrations.
When significant differences were found, Bonferroni's post hoc comparison was
applied. The Pearson test was performed to assess significant correlations
between the selected electrolytes in pregnant and control groups. A linear regression model (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>y</mml:mi><mml:mo>=</mml:mo><mml:mi>a</mml:mi><mml:mo>+</mml:mo><mml:mi>b</mml:mi><mml:mi>x</mml:mi></mml:mrow></mml:math></inline-formula>) was applied to determine
the degree of correlation between each electrolyte and the time before and after
foaling in Group A.</p>
      <p><inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> values &lt; 0.05 were considered statistically significant.
Statistical analysis was performed using the STATISTICA software package
(STATISTICA 7 Stat Software Inc., Tulsa, Oklahoma).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Coefficients of correlation between sodium (Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, potassium
(K<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, Chloride (Cl<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, calcium (Ca<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, phosphorus (P<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>
and magnesium (Mg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> calculated for pregnant (Group A) and control
(Group B) mares. Significant correlations (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mi mathvariant="italic">&lt;</mml:mi><mml:mn> 0.05</mml:mn></mml:mrow></mml:math></inline-formula>) are indicated
in bold letters.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="6">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="right"/>
     <oasis:colspec colnum="5" colname="col5" align="right"/>
     <oasis:colspec colnum="6" colname="col6" align="right"/>
     <oasis:thead>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2">K<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">Mg<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Group A</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mo mathvariant="bold">-</mml:mo><mml:mn mathvariant="bold">0.185</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.201</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.095</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn>0.026</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn>0.056</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">K<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mn>0.103</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.254</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.041</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.058</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.354</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.05</mml:mn></mml:mrow></mml:math></inline-formula>1</oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.174</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.071</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mo>=</mml:mo><mml:mo>-</mml:mo><mml:mn>0.030</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.174</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1">Group B</oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"/>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.241</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.208</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.486</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.285</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.209</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">K<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.432</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.739</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.187</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.506</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.435</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.189</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.431</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.249</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mn mathvariant="bold">0.484</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6"><inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="bold-italic">r</mml:mi><mml:mo mathvariant="bold">=</mml:mo><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mi>d</mml:mi><mml:mi>s</mml:mi><mml:mi>y</mml:mi><mml:mi>m</mml:mi><mml:mi>b</mml:mi><mml:mi>o</mml:mi><mml:mi>l</mml:mi><mml:mo>-</mml:mo><mml:mn mathvariant="bold">0.210</mml:mn></mml:mrow></mml:math></inline-formula></oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

</sec>
</sec>
<sec id="Ch1.S3">
  <title>Results</title>
      <p>None of the mares included in Group A showed clinical signs of disease
during their pregnancy and postpartum. The mares delivered healthy, viable
full-term foals, without human assistance. They passed a normal and intact
placenta spontaneously within 2 h and achieved the complete involution
of the uterus within 2 weeks after foaling.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Graphical representation of statistical correlations obtained between
studied electrolytes in pregnant (Group A) and control (Group B) mares.
Continuous lines indicate positive correlations and dotted lines indicate
negative correlations.</p></caption>
        <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://aab.copernicus.org/articles/59/65/2016/aab-59-65-2016-f02.png"/>

      </fig>

      <p>The Shapiro–Wilk analysis showed a normal distribution of the data. Figure 1
shows means <inline-formula><mml:math display="inline"><mml:mo>±</mml:mo></mml:math></inline-formula> SEM of studied parameters obtained from pregnant mares
and the control group. Group A showed significant changes in Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> concentration
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.011</mml:mn></mml:mrow></mml:math></inline-formula>) that rapidly decreased during the first 2 weeks following
parturition compared to the week before foaling and the time of foaling (<inline-formula><mml:math display="inline"><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:math></inline-formula> and
<inline-formula><mml:math display="inline"><mml:mi>P</mml:mi></mml:math></inline-formula> vs. <inline-formula><mml:math display="inline"><mml:mrow><mml:mo>+</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>+</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:math></inline-formula>). A significant effect of pregnancy was found on serum P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>
(<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.015</mml:mn></mml:mrow></mml:math></inline-formula>), pregnant mares showed lower P concentrations than non-pregnant
mares throughout the monitored period. Statistical correlations between
electrolytes calculated for Groups A and B (Table 1) are displayed graphically in Fig. 2. The linear regression model showed a progressive
increase in Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentrations (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.002</mml:mn></mml:mrow></mml:math></inline-formula>) and a gradual decrease in
serum Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi>P</mml:mi><mml:mo>=</mml:mo><mml:mn>0.001</mml:mn></mml:mrow></mml:math></inline-formula>) during pregnancy (Fig. 3).</p>
</sec>
<sec id="Ch1.S4" sec-type="conclusions">
  <title>Discussion</title>
      <p>In the present study significant changes in the concentration of Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula>,
Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>, Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> occurred during the last 3 months
of pregnancy and the first 3 weeks postpartum in the mare.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>Linear regression model of Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> recorded during
pregnancy in Group A. Time is expressed as weeks to parturition.</p></caption>
        <?xmltex \igopts{width=236.157874pt}?><graphic xlink:href="https://aab.copernicus.org/articles/59/65/2016/aab-59-65-2016-f03.png"/>

      </fig>

      <p>The progressive increase in serum Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> which we observed during the last
month of pregnancy accords with a study by Harvey et al. (2005), which
reported a peak in Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentration around the time of foaling. These
changes in Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> trend may be related to the
renin–angiotensin–aldosterone system (RAAS) of the mare that directly
controls Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> excretion, internal homeostasis and blood pressure. The
effects of pregnancy on RAAS function have been investigated in humans (Weir
et al., 1975; Bentley-Lewis et al., 2005), dogs (Robb et al., 1970) and mares
(Satué and Domingo, 2011). In particular, an increase in aldosterone
concentration was found in mares during late pregnancy (Satué and
Domingo, 2011). This leads to a better renal conservation of Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> and
water to favour the expansion of the foeto-placental unit and to guarantee
the correct nutrient intake of the foetus, as well as the appropriate
homeostasis and blood pressure between mother and foetus. In our study the
highest Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentrations were recorded at the last blood sampling
preceding parturition. Since, Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> occurs in considerable amounts in
muscles and plays a vital role in muscle contraction (Cunha, 1980), our
finding may represent a physiological adjustment at the time of foaling when
forceful abdominal contractions are necessary for the expulsion of the foal
(Daels et al., 1991). The significant decrease in Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> concentration
recorded in our study after foaling accords with the findings of Harvey et
al. (2005) that showed a progressive reduction in serum Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> following
parturition. This reduction in Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> levels may be due to the loss of this
electrolyte with lactation as a mare's milk contains from 300 to 640 ppm of
Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> (Cunha, 1980). In addition, although not reported in horses,
hypochloremia without serum Na<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> depletion has been reported in lactating
cows (Lewis, 1995). In the present study significant changes in the serum
levels of Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> were also found. The progressive decrease
recorded in Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> concentration until the time of foaling accords with
Berlin and Aroch (2009), who found lower serum Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> in pregnant mares
compared to non-pregnant horses. A possible explanation lies in the equine
placenta containing a Ca-binding protein that increases Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> transfer
from the mare to the foetus in order to meet the needs for the foetal
skeleton mineralization (Wooding et al., 2000). Together with Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>,
P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> plays a key role in several body functions such as bone and energy
metabolism. These electrolytes comprise about 70 % of the mineral content
of the body and up to 50 % of the minerals in milk. Most of the foetal
Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> deposition occurs during the last 2 months of
gestation, which suggests that most of the skeletal development occurs at
that time (Kavazis et al., 2002). This foetal use of minerals and the close
relation between the Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> metabolisms (Rosol and Capen,
1997) may explain the lower P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> concentrations in periparturient mares
compared to the control group. Although previous studies dealt with the
assessment of serum electrolytes in periparturient mares (Rook et al., 1997;
Harvey et al., 2005), to the best of the authors' knowledge, this is the
first study that statistically assesses the correlation coefficients between
serum macrominerals in pregnant and non-pregnant mares. We found that every
mineral was significantly correlated to another mineral in non-pregnant
mares. In effect, serum electrolytes should be considered as a group rather
than individually. As the intake of a mineral increases above that needed,
the part not absorbed may bind other minerals, decreasing their absorption
and possibly resulting in a deficiency of these minerals (Lewis, 1995).
However, Group A did not show the same statistical correlations we found in
Group B except Na<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> and Ca<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula>. Opposite
correlations Mg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> Cl<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>-</mml:mo></mml:msup></mml:math></inline-formula> and Mg<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup><mml:mo>/</mml:mo></mml:mrow></mml:math></inline-formula> P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> were found in
pregnant mares compared to the control group. These changes in mineral
interrelations may result from physiological adjustments of the mineral
metabolism occurring in the mare during both late gestation and lactation.
During the peripartum period the mare has to cope with remarkable mineral
requirements from the developing foetus as well as the growing foal,
particularly in relation to Ca<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>+</mml:mo><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> and P<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>+</mml:mo></mml:msup></mml:math></inline-formula> (Summer et al., 2004).</p>
      <p>Contrary to the previous studies performed over a limited period of time
(Rook et al., 1997) or with a limited frequency of sampling (Harvey et al.,
2005), we focused on the last trimester of pregnancy and the first 3 weeks after foaling, using a weekly sampling that allowed us to detect
transient changes in mineral serum concentrations. Because the most
significant changes in serum electrolytes occurred within 2 weeks before
and 2 weeks after foaling, monitoring serum electrolyte concentrations
would indicate whether the mare needs further mineral supplementation at
this stage. The significant changes in a mare's macromineral profile which we found
over the peripartum provide enhanced knowledge about mineral
interrelations and their modifications during specific physiological
conditions such as late pregnancy and early postpartum.</p>
</sec>

      
      </body>
    <back><notes notes-type="authorcontribution">

      <p>All authors have made substantial contributions to each step
of experimental procedure and manuscript preparation. Specific contributions are as follows:
M. Bazzano designed the experiment and C. Scollo performed the sampling.
C. Giannetto performed the laboratory analysis and F. Fazio analysed the data. M. Bazzano and
E. Giudice prepared the paper. G. Piccione supervised all stages of the
experimental
study.<?xmltex \hack{\\}?> <?xmltex \hack{\\}?><?xmltex \hack{\noindent}?><?xmltex \bgroup\small?> Edited by: A.-E. Freifrau von Tiele-Winckler<?xmltex \hack{\newline}?> Reviewed by: M. Gianesella and S. Marafioti<?xmltex \egroup?></p>
  </notes><?xmltex \hack{\newpage}?><ref-list>
    <title>References</title>

      <ref id="bib1.bib1"><label>1</label><mixed-citation>
Aoki, T. and Ishii, M.: Hematological and Biochemical Profiles in Peripartum
Mares and Neonatal Foals (Heavy Draft Horse), J. Equine Vet. Sci., 32,
170–176, 2012.</mixed-citation></ref>
      <ref id="bib1.bib2"><label>2</label><mixed-citation>
Bazzano, M., Giannetto, C., Fazio, F., Marafioti, S., Giudice, E., and
Piccione, G.: Hemostatic profile during late pregnancy and early postpartum
period in mares, Theriogenology, 81, 639–643, 2014a.</mixed-citation></ref>
      <ref id="bib1.bib3"><label>3</label><mixed-citation>
Bazzano, M., Giannetto, C., Fazio, F., Rizzo, M., Giudice, E., and Piccione,
G.: Physiological adjustments of haematological profile during the last
trimester of pregnancy and the early post partum period in mares, Anim.
Reprod. Sci., 149, 199–203, 2014b.</mixed-citation></ref>
      <ref id="bib1.bib4"><label>4</label><mixed-citation>
Bazzano, M., Giannetto, C., Fazio, F., Arfuso, F., Giudice, E., and Piccione,
G.: Metabolic profile of broodmares during late pregnancy and early
post-partum, Reprod. Dom. Anim., 49, 947–953, 2014c.</mixed-citation></ref>
      <ref id="bib1.bib5"><label>5</label><mixed-citation>
Bazzano, M., Arfuso, F., Giudice, E., Di Pietro, S., and Piccione, G.:
Platelet aggregation percentage increased in healthy broodmares during
the peripartum, J. Equine Vet. Sci., 35, 573–576, 2015.</mixed-citation></ref>
      <ref id="bib1.bib6"><label>6</label><mixed-citation>
Bentley-Lewis, M. D., Graves, S. W., and Seely, E. W.: The renin aldosterone
response to stimulation and suppression during normal pregnancy, Hypertens.
Pregnancy, 24, 1–16, 2005.</mixed-citation></ref>
      <ref id="bib1.bib7"><label>7</label><mixed-citation>
Berlin, D. and Aroch, I.: Concentrations of ionized and total magnesium and
calcium in healthy horses: Effects of age, pregnancy, lactation, pH and
sample type, Vet. J., 181, 305–311, 2009.</mixed-citation></ref>
      <ref id="bib1.bib8"><label>8</label><mixed-citation>
Cunha, T. J. (Ed.): Mineral requirements of the horse, in: Horse feeding and
nutrition, Academic Press, New York, NY, 59–110 1980.</mixed-citation></ref>
      <ref id="bib1.bib9"><label>9</label><mixed-citation>
Daels, P. F., Hughes, J. P., and Stabenfeldt, G. H.: Reproduction in horses,
in: Reproduction in domestic animals, edited by: Cupps, P. T., 4th Edn.,
Academic Press Inc., San Diego, CA, 413–444, 1991.</mixed-citation></ref>
      <ref id="bib1.bib10"><label>10</label><mixed-citation>
Filipović, N., Stojević, Z., Prvanović, N., and Tucek, Z.: The
influence of late pregnancy and lactation on bone metabolism in mares, Res.
Vet. Sci., 88, 405–410, 2010.</mixed-citation></ref>
      <ref id="bib1.bib11"><label>11</label><mixed-citation>
Harvey, J. W., Pate, M. G., Kivipelto, J., and Asquith, R. L.: Clinical
biochemistry of pregnant and nursing mares, Vet. Clin. Path., 34, 248–254,
2005.</mixed-citation></ref>
      <ref id="bib1.bib12"><label>12</label><mixed-citation>
Kavazis, A. N., Kivipelto, M. S. J., and Ott, E. A.: Supplementation of
broodmares with copper, zinc, iron, manganese, cobalt, iodine, and selenium,
J. Equine Vet. Sci., 22, 460–464, 2002.</mixed-citation></ref>
      <ref id="bib1.bib13"><label>13</label><mixed-citation>Larsson, A., Palm, M., Hansson, L. O., and Axelsson, O.: Reference values for
clinical chemistry test during normal pregnancy, BJOG-Int. J. Obstet. Gy.,
115, 874–881, 2008.
 </mixed-citation></ref><?xmltex \hack{\newpage}?>
      <ref id="bib1.bib14"><label>14</label><mixed-citation>
Lewis, L. D. (Ed.): Equine clinical nutrition: feeding and care, Williams
&amp; Wilkins, Philadelphia, 1995.</mixed-citation></ref>
      <ref id="bib1.bib15"><label>15</label><mixed-citation>
Mariella, J., Pirrone, A., Gentilini, F., and Castagnetti, C.: Hematological
and biochemical profiles in Standardbred mares during peripartum,
Theriogenology, 81, 526–534, 2014.</mixed-citation></ref>
      <ref id="bib1.bib16"><label>16</label><mixed-citation>
Robb, C. A., Davis, J. O., Johnson, J. A., Blaine, E. H., Schneider, E. G.,
and Baumber, J. S.: Mechanisms regulating the renal excretion of sodium
during pregnancy, J. Clin. Invest., 49, 871–880, 1970.</mixed-citation></ref>
      <ref id="bib1.bib17"><label>17</label><mixed-citation>
Rook, J. S., Braselton, W. E., Nachreiner, R. F., Lloyd, J. W., Shea, M. E.,
Shelle, J. E., and Hitzler, P. R.: Multi-element assay of mammary secretions
and sera from periparturient mares by inductively coupled argon plasma
emission spectroscopy, Am. J. Vet. Res., 58, 376–378, 1997.</mixed-citation></ref>
      <ref id="bib1.bib18"><label>18</label><mixed-citation>
Rosol, T. J. and Capen, C. C.: Calcium-regulating hormones and disease of
abnormal mineral (calcium, phosphorus, magnesium) metabolism, in: Clinical
biochemistry of domestic animals, edited by: Kaneko, J. J., Harvey, J. W., and
Bruss, M. L., 5th Edn., Academic Press, San Diego, CA, 619–702, 1997.</mixed-citation></ref>
      <ref id="bib1.bib19"><label>19</label><mixed-citation>
Salimei, E. and Fantuz, F.: Equid milk for human consumption, Int. Dairy J.,
24, 130–142, 2012.</mixed-citation></ref>
      <ref id="bib1.bib20"><label>20</label><mixed-citation>
Satué, K. and Domingo, R.: Longitudinal study of the renin angiotensin
aldosterone system in purebred Spanish broodmares during pregnancy,
Theriogenology, 75, 1185–1194, 2011.</mixed-citation></ref>
      <ref id="bib1.bib21"><label>21</label><mixed-citation>
Satué, K. and Montesinos, P.: Plasma biochemistry in pregnant Spanish
purebred broodmares, Comp. Clin. Pathol., 22, 113–117, 2013.</mixed-citation></ref>
      <ref id="bib1.bib22"><label>22</label><mixed-citation>
Sevinga, M., Barkema, H. W., and Hesselink, J. W.: Serum calcium and
magnesium concentrations and the use of calcium-magnesium-borogluconate
solution in the treatment of Friesian mares with retained placenta,
Theriogenology, 57, 941–947, 2002.</mixed-citation></ref>
      <ref id="bib1.bib23"><label>23</label><mixed-citation>
Summer, A., Sabbioni, A., Formaggioni, P., and Mariani, P.: Trend in ash and
mineral element content of milk from Haflinger nursing mares throughout six
lactation months, Livest. Prod. Sci., 88, 55–62, 2004.</mixed-citation></ref>
      <ref id="bib1.bib24"><label>24</label><mixed-citation>
Weir, R. J., Brown, J. J., Fraser, R., Lever, A. F., Logan, R. W.,
McIlwaine, G. M., Morton, J. J., Robertson, J. I., and Tree, M.: Relationship
between plasma rennin, rennin substrate, angiotensin II, aldosterone and
electrolytes in normal pregnancy, J. Clin. Endocrinol. Metab., 40, 108–115,
1975.</mixed-citation></ref>
      <ref id="bib1.bib25"><label>25</label><mixed-citation>
Wooding, F. B. P., Morgan, G., Fowden, A. L., and Allen, W. R.: Separate
sites and mechanisms of placental transport of calcium, iron and glucose in
the equine placenta, Placenta, 21, 635–645, 2000.</mixed-citation></ref>

  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    <!--<article-title-html>The peripartum period influenced the serum macromineral profile in
mares</article-title-html>
<abstract-html><p class="p">Changes in metabolic requirements during pregnancy may produce nutritional
imbalances predisposing mares to pathological conditions. Therefore, we aimed
to examine changes in serum macrominerals during the peripartum period in
mares. Fifteen pregnant mares (Group A) were monitored starting at the
263rd day of pregnancy until the 21st day after foaling. Seven non-pregnant
and non-lactating mares were used as a control group (Group B). Group A was
subjected to blood sampling within 24 ± 12 h after parturition (P) and
then 7, 14 and 21 days after foaling (+1, +2, +3 weeks,
respectively). Group B was subjected to regular sampling throughout the
study to ensure that seasonal changes had no significant effect on studied
parameters. Serum samples were analysed for serum electrolytes including
sodium (Na<sup>+</sup>), potassium (K<sup>+</sup>), calcium (Ca<sup>+ + </sup>), phosphorus
(P<sup>+</sup>), chloride (Cl<sup>−</sup>) and magnesium (Mg<sup>+ + </sup>). Two-way repeated
measures of analysis of variance (ANOVA) was applied to evaluate significant
effects of peripartum on electrolyte concentrations. Group A showed a
decrease in Cl<sup>−</sup> concentrations (<i>P</i> = 0.011) after foaling and lower
P<sup>+</sup> concentrations (<i>P</i> = 0.015) compared to Group B throughout the
study. The linear regression model showed an increase in Na<sup>+</sup>
concentrations (<i>P</i> = 0.002) and a gradual decrease in serum Ca<sup>+ + </sup> (<i>P</i> = 0.001) during pregnancy. Because the most significant changes in serum
electrolytes occurred within 2 weeks before and 2 weeks after foaling,
monitoring serum electrolyte concentrations would indicate whether the mare
needs further mineral supplementation at this stage. The significant changes
in a mare's macromineral profile that we observed over the peripartum provide
enhanced knowledge about mineral interrelations and their modifications
during specific physiological conditions such as late pregnancy and early
postpartum.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Aoki, T. and Ishii, M.: Hematological and Biochemical Profiles in Peripartum
Mares and Neonatal Foals (Heavy Draft Horse), J. Equine Vet. Sci., 32,
170–176, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib2"><label>2</label><mixed-citation>
Bazzano, M., Giannetto, C., Fazio, F., Marafioti, S., Giudice, E., and
Piccione, G.: Hemostatic profile during late pregnancy and early postpartum
period in mares, Theriogenology, 81, 639–643, 2014a.
</mixed-citation></ref-html>
<ref-html id="bib1.bib3"><label>3</label><mixed-citation>
Bazzano, M., Giannetto, C., Fazio, F., Rizzo, M., Giudice, E., and Piccione,
G.: Physiological adjustments of haematological profile during the last
trimester of pregnancy and the early post partum period in mares, Anim.
Reprod. Sci., 149, 199–203, 2014b.
</mixed-citation></ref-html>
<ref-html id="bib1.bib4"><label>4</label><mixed-citation>
Bazzano, M., Giannetto, C., Fazio, F., Arfuso, F., Giudice, E., and Piccione,
G.: Metabolic profile of broodmares during late pregnancy and early
post-partum, Reprod. Dom. Anim., 49, 947–953, 2014c.
</mixed-citation></ref-html>
<ref-html id="bib1.bib5"><label>5</label><mixed-citation>
Bazzano, M., Arfuso, F., Giudice, E., Di Pietro, S., and Piccione, G.:
Platelet aggregation percentage increased in healthy broodmares during
the peripartum, J. Equine Vet. Sci., 35, 573–576, 2015.
</mixed-citation></ref-html>
<ref-html id="bib1.bib6"><label>6</label><mixed-citation>
Bentley-Lewis, M. D., Graves, S. W., and Seely, E. W.: The renin aldosterone
response to stimulation and suppression during normal pregnancy, Hypertens.
Pregnancy, 24, 1–16, 2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib7"><label>7</label><mixed-citation>
Berlin, D. and Aroch, I.: Concentrations of ionized and total magnesium and
calcium in healthy horses: Effects of age, pregnancy, lactation, pH and
sample type, Vet. J., 181, 305–311, 2009.
</mixed-citation></ref-html>
<ref-html id="bib1.bib8"><label>8</label><mixed-citation>
Cunha, T. J. (Ed.): Mineral requirements of the horse, in: Horse feeding and
nutrition, Academic Press, New York, NY, 59–110 1980.
</mixed-citation></ref-html>
<ref-html id="bib1.bib9"><label>9</label><mixed-citation>
Daels, P. F., Hughes, J. P., and Stabenfeldt, G. H.: Reproduction in horses,
in: Reproduction in domestic animals, edited by: Cupps, P. T., 4th Edn.,
Academic Press Inc., San Diego, CA, 413–444, 1991.
</mixed-citation></ref-html>
<ref-html id="bib1.bib10"><label>10</label><mixed-citation>
Filipović, N., Stojević, Z., Prvanović, N., and Tucek, Z.: The
influence of late pregnancy and lactation on bone metabolism in mares, Res.
Vet. Sci., 88, 405–410, 2010.
</mixed-citation></ref-html>
<ref-html id="bib1.bib11"><label>11</label><mixed-citation>
Harvey, J. W., Pate, M. G., Kivipelto, J., and Asquith, R. L.: Clinical
biochemistry of pregnant and nursing mares, Vet. Clin. Path., 34, 248–254,
2005.
</mixed-citation></ref-html>
<ref-html id="bib1.bib12"><label>12</label><mixed-citation>
Kavazis, A. N., Kivipelto, M. S. J., and Ott, E. A.: Supplementation of
broodmares with copper, zinc, iron, manganese, cobalt, iodine, and selenium,
J. Equine Vet. Sci., 22, 460–464, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib13"><label>13</label><mixed-citation>
Larsson, A., Palm, M., Hansson, L. O., and Axelsson, O.: Reference values for
clinical chemistry test during normal pregnancy, BJOG-Int. J. Obstet. Gy.,
115, 874–881, 2008.

</mixed-citation></ref-html>
<ref-html id="bib1.bib14"><label>14</label><mixed-citation>
Lewis, L. D. (Ed.): Equine clinical nutrition: feeding and care, Williams
&amp; Wilkins, Philadelphia, 1995.
</mixed-citation></ref-html>
<ref-html id="bib1.bib15"><label>15</label><mixed-citation>
Mariella, J., Pirrone, A., Gentilini, F., and Castagnetti, C.: Hematological
and biochemical profiles in Standardbred mares during peripartum,
Theriogenology, 81, 526–534, 2014.
</mixed-citation></ref-html>
<ref-html id="bib1.bib16"><label>16</label><mixed-citation>
Robb, C. A., Davis, J. O., Johnson, J. A., Blaine, E. H., Schneider, E. G.,
and Baumber, J. S.: Mechanisms regulating the renal excretion of sodium
during pregnancy, J. Clin. Invest., 49, 871–880, 1970.
</mixed-citation></ref-html>
<ref-html id="bib1.bib17"><label>17</label><mixed-citation>
Rook, J. S., Braselton, W. E., Nachreiner, R. F., Lloyd, J. W., Shea, M. E.,
Shelle, J. E., and Hitzler, P. R.: Multi-element assay of mammary secretions
and sera from periparturient mares by inductively coupled argon plasma
emission spectroscopy, Am. J. Vet. Res., 58, 376–378, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib18"><label>18</label><mixed-citation>
Rosol, T. J. and Capen, C. C.: Calcium-regulating hormones and disease of
abnormal mineral (calcium, phosphorus, magnesium) metabolism, in: Clinical
biochemistry of domestic animals, edited by: Kaneko, J. J., Harvey, J. W., and
Bruss, M. L., 5th Edn., Academic Press, San Diego, CA, 619–702, 1997.
</mixed-citation></ref-html>
<ref-html id="bib1.bib19"><label>19</label><mixed-citation>
Salimei, E. and Fantuz, F.: Equid milk for human consumption, Int. Dairy J.,
24, 130–142, 2012.
</mixed-citation></ref-html>
<ref-html id="bib1.bib20"><label>20</label><mixed-citation>
Satué, K. and Domingo, R.: Longitudinal study of the renin angiotensin
aldosterone system in purebred Spanish broodmares during pregnancy,
Theriogenology, 75, 1185–1194, 2011.
</mixed-citation></ref-html>
<ref-html id="bib1.bib21"><label>21</label><mixed-citation>
Satué, K. and Montesinos, P.: Plasma biochemistry in pregnant Spanish
purebred broodmares, Comp. Clin. Pathol., 22, 113–117, 2013.
</mixed-citation></ref-html>
<ref-html id="bib1.bib22"><label>22</label><mixed-citation>
Sevinga, M., Barkema, H. W., and Hesselink, J. W.: Serum calcium and
magnesium concentrations and the use of calcium-magnesium-borogluconate
solution in the treatment of Friesian mares with retained placenta,
Theriogenology, 57, 941–947, 2002.
</mixed-citation></ref-html>
<ref-html id="bib1.bib23"><label>23</label><mixed-citation>
Summer, A., Sabbioni, A., Formaggioni, P., and Mariani, P.: Trend in ash and
mineral element content of milk from Haflinger nursing mares throughout six
lactation months, Livest. Prod. Sci., 88, 55–62, 2004.
</mixed-citation></ref-html>
<ref-html id="bib1.bib24"><label>24</label><mixed-citation>
Weir, R. J., Brown, J. J., Fraser, R., Lever, A. F., Logan, R. W.,
McIlwaine, G. M., Morton, J. J., Robertson, J. I., and Tree, M.: Relationship
between plasma rennin, rennin substrate, angiotensin II, aldosterone and
electrolytes in normal pregnancy, J. Clin. Endocrinol. Metab., 40, 108–115,
1975.
</mixed-citation></ref-html>
<ref-html id="bib1.bib25"><label>25</label><mixed-citation>
Wooding, F. B. P., Morgan, G., Fowden, A. L., and Allen, W. R.: Separate
sites and mechanisms of placental transport of calcium, iron and glucose in
the equine placenta, Placenta, 21, 635–645, 2000.
</mixed-citation></ref-html>--></article>
