<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJSS</journal-id><journal-title-group><journal-title>Open Journal of Soil Science</journal-title></journal-title-group><issn pub-type="epub">2162-5360</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojss.2016.612018</article-id><article-id pub-id-type="publisher-id">OJSS-72557</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Impact of Simulated Drought Stress on Soil Microbiology, and Nematofauna in a Native Shrub + Millet Intercropping System in Senegal
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sidy</surname><given-names>Diakhaté</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ndeye-Yacine</surname><given-names>Badiane-Ndour</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hassna</surname><given-names>Founoune-Mboup</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sally</surname><given-names>Diatta</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Abdoulaye</surname><given-names>Fofana Fall</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rebecca</surname><given-names>R. Hernandez</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Laurent</surname><given-names>Cournac</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Richard</surname><given-names>Dick</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lydie</surname><given-names>Chapuis-Lardy</given-names></name><xref ref-type="aff" rid="aff6"><sup>6</sup></xref></contrib></contrib-group><aff id="aff3"><addr-line>Land Air and Water Resource Department, University of California-Davis, Davis, CA, USA</addr-line></aff><aff id="aff2"><addr-line>National Research Laboratory for Crop Production (LNRPV/ISRA), Dakar, Senegal</addr-line></aff><aff id="aff5"><addr-line>School of Environment and Natural Resources, Ohio State University, Columbus, OH, USA</addr-line></aff><aff id="aff4"><addr-line>LMI IESOL, International Laboratory for Ecological Intensification of Cultivated Soil in West Africa Dakar, Senegal</addr-line></aff><aff id="aff1"><addr-line>IRD-ISRA Research Center, BP1386, Dakar, Senegal</addr-line></aff><aff id="aff6"><addr-line>French National Research Institute for Sustainable Development (IRD), Montpellier, France</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>sidy.diakhate@ird.fr(SD)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>06</day><month>12</month><year>2016</year></pub-date><volume>06</volume><issue>12</issue><fpage>189</fpage><lpage>203</lpage><history><date date-type="received"><day>September</day>	<month>29,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>December</month>	<year>3,</year>	</date><date date-type="accepted"><day>December</day>	<month>6,</month>	<year>2016</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Drought stress strongly affects soil biota and impairs crop production, which under climate change will be exacerbated in semi-arid cropping regions such as the Sahel. Hence soil management systems are needed that can buffer against drought. In West Africa, field studies have found intercropping of millet with the native shrub 
  Piliostigma 
  reticulatum improves soil-plant-water relations, microbial activity and diversity, and suppress parasitic nematodes, which can significantly increase crop yield. However, little information is available on its beneficial or negative effects on soils or crops during water stress. Therefore, the objective was to investigate the impact of 
  P. 
  reticulatum in moderating water stress effects on soil properties and pearl millet (
  Pennisetum 
  glaucum [L.] R. Br.) productivity. In the greenhouse, soil chemical and microbial properties and millet growth were investigated with a factorial experiment of varying levels of soil moisture (favorable, moderately stressed, or severely stressed water conditions) that was imposed for 55 days on soils containing sole 
  P. 
  reticulatum or millet, or millet + 
  P. 
  reticulatum. The results showed that the presence of 
  P. 
  reticulatum did not buffer soils against water stress in relation to soil chemical and microbial properties measured at the end of the experiment. Severe water stress did significantly decrease the height, number of leaves, and aboveground biomass of millet plants. Additionally, respiration, nematofauna trophic structure and abundance decreased as water stress increased. Lastly, bacterial feeders and plant parasitic nematodes were the most sensitive to severe water stress while fungal feeding nematodes remained unaffected. The results suggested that the intensity of water stress had more negative effects on soil basal respiration rather than soil microbial biomass.
 
</p></abstract><kwd-group><kwd>Sub-Saharan Africa</kwd><kwd> Shrub-Based Cropping System</kwd><kwd> Pennisetum glaucum (L.) R. Br.</kwd><kwd> Water Stress</kwd><kwd> Climate Change</kwd><kwd> Nematode</kwd><kwd> Basal Respiration</kwd><kwd> Greenhouse Experiment</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Reducing climate change-related risks to food production in Sub-Saharan Africa (SSA), the most food-insecure region globally, will require adaptation and the management of stressors from global- to local-scales [<xref ref-type="bibr" rid="scirp.72557-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref2">2</xref>] . Furthermore, for the Sahel, it must be addressed within a context of rural poverty and exploitation of natural resources.</p><p>At landscape levels, climatic drivers that affect crop production will be increased mean annual temperature and more erratic rainfall. For SSA, climate change will cause greater variability in water availability for agriculture [<xref ref-type="bibr" rid="scirp.72557-ref3">3</xref>] . At the same time, stressed agroecosystems are predicted to increase the damage from plant pathogens, ectoparasites, and diseases [<xref ref-type="bibr" rid="scirp.72557-ref4">4</xref>] . This presents a major challenge for the majority, subsistence SSA farmers who do not have the resources to purchase external inputs for fertilizers or control measures for diseases and pests.</p><p>The relationship between hunger-related deaths and drought throughout the latter half of the 21<sup>st</sup> century across the Sahel, the semi-arid transition belt between the Saharan desert and the Sudanian savanna, are well documented [<xref ref-type="bibr" rid="scirp.72557-ref5">5</xref>] . Today, at least 120 million people still suffer from malnutrition in SSA [<xref ref-type="bibr" rid="scirp.72557-ref6">6</xref>] . Across SSA, pearl millet (Pennisetum glaucum [L.] R. Br.) is the sixth most important crop for food insecure among human populations [<xref ref-type="bibr" rid="scirp.72557-ref2">2</xref>] . Pearl millet is well adapted to drought and soils with poor inherent fertility, which are characteristic of SSA soils. Consequently, it is cultivated throughout the region for grain and fodder. In contrast to other crops (e.g., wheat, maize, rice), pearl millet has been understudied, which could diminish its adaptive capacity to climate change risks [<xref ref-type="bibr" rid="scirp.72557-ref2">2</xref>] . Pearl millet productivity is projected to decline by 10% within the Sahel and across Africa owing to changes in climate [<xref ref-type="bibr" rid="scirp.72557-ref7">7</xref>] , compared to reported yield reductions for wheat and sorghum (17.2% and 14.6%, respectively). Adaptive capacity is further constrained by the nature of farming in SSA and pests: predominately small-scale and 98% rainfed [<xref ref-type="bibr" rid="scirp.72557-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref7">7</xref>] and the presence of plant- parasitic nematodes, specifically Helicotylenchus and Scutellonema (both Hoplolaimidae), recently reported as highly abundant in pearl millet fields [<xref ref-type="bibr" rid="scirp.72557-ref8">8</xref>] .</p><p>Previous studies have demonstrated the link between climate and soil water content, which, in turn, controls microbial activity [<xref ref-type="bibr" rid="scirp.72557-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref10">10</xref>] , soil microbial community structure [<xref ref-type="bibr" rid="scirp.72557-ref11">11</xref>] , and nematofauna [<xref ref-type="bibr" rid="scirp.72557-ref12">12</xref>] . Size and microbial activities include microbial biomass and soil basal respiration which can be affected negatively under water stress [<xref ref-type="bibr" rid="scirp.72557-ref13">13</xref>] especially in SSA. Climate parameters can influence abiotic conditions, such as soil moisture availability that can influence biotic processes like decomposition [<xref ref-type="bibr" rid="scirp.72557-ref14">14</xref>] . Soil nematodes, which include several trophic groups and can be beneficial, innocuous or parasitic [<xref ref-type="bibr" rid="scirp.72557-ref15">15</xref>] , are physiologically active only when water is available [<xref ref-type="bibr" rid="scirp.72557-ref16">16</xref>] making them good indicators of drought stress [<xref ref-type="bibr" rid="scirp.72557-ref12">12</xref>] . They indirectly modulate carbon and nitrogen cycling, in part, because they graze on plant roots and fungi and consume other edaphic biota [<xref ref-type="bibr" rid="scirp.72557-ref17">17</xref>] . Soil nematodes have been widely used for monitoring environmental change, and their responses play a key role in the feedbacks of terrestrial ecosystems to climate change because they are highly sensitive to changes in precipitation [<xref ref-type="bibr" rid="scirp.72557-ref18">18</xref>] .</p><p>Drying and rewetting cycles represent a common physiological stress for the microbial communities and nematofauna inhabiting soil [<xref ref-type="bibr" rid="scirp.72557-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref20">20</xref>] , particularly soils of SSA due to the infrequency and variability of rainfall events and the warm [<xref ref-type="bibr" rid="scirp.72557-ref21">21</xref>] . Altered precipitation regimes, including drought, may create thresholds that alter nematofauna community composition. For example, bacterial feeding nematodes exhibit more sensitivity to drought than fungal feeding nematodes and drought conditions have been linked to a significant reduction in nematofauna abundance [<xref ref-type="bibr" rid="scirp.72557-ref12">12</xref>] , resulting in altered trophic patterns, thus altered ecosystem functioning [<xref ref-type="bibr" rid="scirp.72557-ref10">10</xref>] . Understanding how water balance impacts soil biological communities and plant production is of paramount importance for future management and sustainability in a context of climate change.</p><p>Farmers in SSA have long practiced agroforestry, where woody tree species coexist with crops, which depending on the species can improve yields [<xref ref-type="bibr" rid="scirp.72557-ref22">22</xref>] . Agroforestry can reduce the vulnerability of agricultural production to climatic stress, in part, owing to improved soil quality, soil nutrient availability, and soil stabilization [<xref ref-type="bibr" rid="scirp.72557-ref23">23</xref>] . Across the SSA savannas most attention has focused on the parkland agrofortestry system where trees (e.g., Faidherbia albida, Parkia biglobosa, Vitellaria paradoxa) are planted or establish naturally in farmers’ fields [<xref ref-type="bibr" rid="scirp.72557-ref24">24</xref>] . More recently, in the Sahel, two native woody shrubs, Guiera senegalensis JF Gmelin (Combretaceae) and Piliostigma reticulatum (DC.) Hochst. (Caesalpiniaceae) in particular, have been identified as “resource islands” that promote growth of groundnut (Arachis hypogaea [<xref ref-type="bibr" rid="scirp.72557-ref25">25</xref>] ); mango (Mangifera indica) [<xref ref-type="bibr" rid="scirp.72557-ref26">26</xref>] ; and pearl millet (Pennisetum glaucum [<xref ref-type="bibr" rid="scirp.72557-ref27">27</xref>] ). These shrub-crop systems have greater potential to sequester carbon at field scales than manure or compost amendments or trees [<xref ref-type="bibr" rid="scirp.72557-ref28">28</xref>] and promote soil bacterial and fungal diversity and activity [<xref ref-type="bibr" rid="scirp.72557-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref29">29</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref31">31</xref>] and significantly reduce plant feeding nematodes [<xref ref-type="bibr" rid="scirp.72557-ref8">8</xref>] .</p><p>Thus, these shrub systems have potential to buffer the effects of water stress on soil biology and therefore could be an important management strategy for maintaining soils and crop productivity with future climate change. These systems are a local resource and do not require external purchased inputs and as such is a logical resource subsistence farmers of the Sahel could take advantage of. However, little information is available on whether soil from shrub intercropped systems moderate the effects of water stress on soil biology. Therefore, the objective of this study was to determine the impact of two levels of water stress on chemical and microbial properties, and nematode populations of soils that had been under long-term P. reticulatum intercropping or sole cropping in the absence of any woody species.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Soil Sampling</title><p>The sampling site is located in Nioro-du Rip, in the Kaolack region of the Peanut Basin in Senegal (13˚45N, 15˚47W; 18 m above sea level). The two major crops cultivated in Nioro-du Rip are peanut (Arachis hypogaea L.) and pearl millet (Pennisetum glaucum (L.) R. Br.). The region is semi-arid with a north Sudanian climate (K&#246;ppen climate classification, BSh). Mean annual precipitation is 750 mm, distributed from July to September. Mean air temperature ranges from 20˚C from December to January and 35.7˚C and from April to June [<xref ref-type="bibr" rid="scirp.72557-ref29">29</xref>] . The soil is a fine-sandy, mixed Haplic Ferric Lixisol [<xref ref-type="bibr" rid="scirp.72557-ref32">32</xref>] , locally referred to as Deck-Dior [<xref ref-type="bibr" rid="scirp.72557-ref33">33</xref>] . The dominant native shrub species at the site is Piliostigma reticulatum (DC.) Hochst. (Caesalpinioideae), with stand of about 185 shrubs ha<sup>−1</sup>. Soil was collected (June 20<sup>th</sup> 2014) beneath the canopies (0 - 20 cm depth) of P. reticulatum within a millet farmers and transferred into several individual bags and brought to Bel-Air Research Center for the greenhouse experiment. Soil was passed through a 2-mm sieve and transferred immediately into 5.5 L plastic pots.</p></sec><sec id="s2_2"><title>2.2. Experimental Design</title><p>The experiment was a completely randomized 4 &#215; 3 factorial experiment (4 replications for each treatment) with 3 plant factors [control with no plant (C); sole P. reticulatum seedling (S); sole pearl millet (Mi); pearl millet plus P. reticulatum (Mi + S)] and 3 soil moisture levels [80% water holding capacity (WHC), non-stressed (NSt); 40% WHC, moderately stressed (MSt); 20% WHC, severely stressed (SSt)].</p><p>Seven kg of soil was placed in each pot and had soil moisture adjusted to 60% WHC and pre-incubated in a greenhouse at 30˚C (&#177;3˚C) for one week. Twenty four P. reticulatum seeds were planted three months prior to starting the experiment and after which the seedlings were transplanted into 5.5 L plastic pots that had 7 kg of soil. After one week, the pots with P. reticulatum received three millet (Pennisetum glaucum (L.) R. Br. Souna 3 cultivar) seeds. One week after the millet emerged, the millet plant nearest the shrub was allowed to remain and the other millet plants were removed. The water treatments were imposed by determining water content, gravimetrically, every 3 days. Soils and plants samples were collected in October 2014 when millet panicles were emerging in the Mi and Mi + S pots.</p></sec><sec id="s2_3"><title>2.3. Plant Measurements</title><p>The number of leaves and plant height (cm) was measured at end of the experiment across all the treatments. Aboveground plant material was harvested at the soil surface, dried at 65˚C for 48 h, and then weighed. At the end of the experiment soil from each pot was homogenized and a portion set aside for air drying and analyzed for chemical properties, and another portion was kept moist in the plastic bags and stored at 4˚C followed by biological assays as described below.</p></sec><sec id="s2_4"><title>2.4. Soil Analyses</title><p>Microbial biomass carbon was estimated by the fumigation-extraction method, using the gain in ninhydrin-reactive N after fumigation, multiplied by 21 [<xref ref-type="bibr" rid="scirp.72557-ref34">34</xref>] . Soil basal respiration (CO<sub>2</sub> evolution) was measured in 100 cm<sup>3</sup> soil jars with 20 g fresh soil, using gas chromatography to measure the headspace CO<sub>2</sub> concentration. The ratio between soil basal respiration and microbial biomass is known as the metabolic quotient (qCO<sub>2</sub>). The metabolic quotient, qCO<sub>2</sub>, is used in this study as an indicator of soil rewetting and drying disturbance of soil biological functioning [<xref ref-type="bibr" rid="scirp.72557-ref35">35</xref>] .</p></sec><sec id="s2_5"><title>2.5. Nematode Abundance and Trophic Groups Analysis</title><p>For each sample, nematodes were extracted at the end of the experiment from approximately 250 g of wet soil using a modified Seinhorst method [<xref ref-type="bibr" rid="scirp.72557-ref36">36</xref>] . Collected nematodes were counted at 40&#215; magnification using a dissecting microscope and preserved in a formaldehyde-glycerol mixture for identification to genus or family level at a higher magnification (400&#215;). Nematode was assigned to the different trophic group (Bacterial feeders, fungal feeders, plant feeders, Omnivores and Carnivores) according to their feeding habits [<xref ref-type="bibr" rid="scirp.72557-ref37">37</xref>] .</p></sec><sec id="s2_6"><title>2.6. Statistical Analysis</title><p>For each parameter (nematode trophic groups, plant parameters, basal respiration and metabolic quotient), we conducted a two-factor analysis of variance (ANOVA) and the means were compared using the Fisher test (P &lt; 0.05). The variance was related to the main effects and to the interaction between shrub presence and soil water stress level. Means &#177; SD were calculated, and the least significant difference (LSD) test of Fischer was used to compare our treatments using XLStat software. To evaluate relationships between water stress, soil nematode and microbial communities, we first ordinated a Redundancy Discriminatory Analysis (RDA) and an ordination bi-plot were used to discriminate the effects of treatments and using PC-Ord software. Statistical significance of water stress clustering for RDA ordination was done using a Permutational multivariate analysis of variance (PERMANOVA) [<xref ref-type="bibr" rid="scirp.72557-ref38">38</xref>] . This analysis was calculated using the abundances of different nematode trophic group (combined for the treatment), in PC-ORD Version V6.0 (MjM Software Design, Gleneden Beach, OR, USA). All PERMANOVA tests used Bray-Curtis dissimilarity; tests of significance were performed using 4999 unrestricted permutations.</p></sec></sec><sec id="s3"><title>3. Results</title><p>Effects of water stress and shrub association with millet on plant parameters.</p><p>In response to simulated drought stress, soil collected in pots with 20% of WHC significantly affected plant height, number of leaves, and dry aboveground biomass yield (P &lt; 0.005, <xref ref-type="table" rid="table1">Table 1</xref>, <xref ref-type="fig" rid="fig1">Figure 1</xref>) compared to the NSt (80% of WHC). There was a significant soil treatment x water stress interaction only for number of leaves (<xref ref-type="table" rid="table1">Table 1</xref>). Simulated drought stress corresponded to decreased plant height and aboveground biomass for Mi and Mi + S, and these effects were more pronounced under severely stressed conditions (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Intercropping millet with shrub (Mi + S) had no positive effect on millet growth or tolerance to stress.</p><p>Response of total nematode abundance to soil moisture conditions.</p><p>Total nematode abundance was negatively affected by both moderate and severe drought stress (P &lt; 0.0001, <xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref>). The highest nematode abundance (1277 individuals 100 g<sup>−1</sup> soil in Mi + S treatment) was observed in the NSt, lowest nematode abundance was recorded in severely stressed treatment (473 individuals 100 g<sup>−1</sup> soil; <xref ref-type="fig" rid="fig2">Figure 2</xref>). Total abundance was also affected by soil treatment type (<xref ref-type="table" rid="table2">Table 2</xref>). Mi + S treatment NSt conditions of water had the highest nematode populations; however this abundance was significantly reduced in the MSt and SSt treatments (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p><p>Responses of nematode trophic groups to soil moisture conditions</p><p>Free-living nematodes (bacterial feeders, fungal feeders, omnivores and carnivores) were the most dominant observed trophic group at 59% across all plants and water treatments. Also across all treatments, bacterial feeding nematodes (38%) were more abundant than fungal feeding nematodes (12%). The relative abundance of all trophic groups were influenced by level of water treatment (P &lt; 0.05; <xref ref-type="table" rid="table2">Table 2</xref>), except for plant feeding nematodes. Bacterial, plant, and omnivorous feeding nematodes were significantly affected by water stress (P &lt; 0.05; <xref ref-type="table" rid="table2">Table 2</xref>) and the abundance of these groups were negatively correlated with the SSt treatment (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Carnivorous and omnivorous nematodes were in low abundance &lt; 40 individuals 100 g<sup>−1</sup> dry soil but none-</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Effect of varying levels of water availability on P. glaucum plant height, number of leaves, and aboveground biomass across four soil plant treatments of sole millet or P. reticulatum or millet + P. reticulatum</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Factors</th><th align="center" valign="middle" >Df</th><th align="center" valign="middle" >Plant Height</th><th align="center" valign="middle" >Number of leaves</th><th align="center" valign="middle" >Aboveground biomass</th></tr></thead><tr><td align="center" valign="middle" >Water level</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.003</td><td align="center" valign="middle" >&lt;0.0001</td></tr><tr><td align="center" valign="middle" >Plants</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >0.013</td><td align="center" valign="middle" >0.083</td></tr><tr><td align="center" valign="middle" >Water * Plants</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >0.729</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.145</td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Effect of water stress treatments on soil nematode microbial, communities and metabolic quotient</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Factors</th><th align="center" valign="middle"  rowspan="3"  >Df</th><th align="center" valign="middle"  colspan="6"  >Nematodes</th><th align="center" valign="middle"  colspan="2"   rowspan="2"  ></th></tr></thead><tr><td align="center" valign="middle"  rowspan="2"  >All nematodes</td><td align="center" valign="middle"  colspan="5"  >Trophic groups</td></tr><tr><td align="center" valign="middle" >Bac</td><td align="center" valign="middle" >Fong</td><td align="center" valign="middle" >Phyto</td><td align="center" valign="middle" >Om</td><td align="center" valign="middle" >Car</td><td align="center" valign="middle" >Basal respiration</td><td align="center" valign="middle" >qCO<sub>2</sub></td></tr><tr><td align="center" valign="middle" >Water level</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.008</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.005</td><td align="center" valign="middle" >0.008</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.007</td></tr><tr><td align="center" valign="middle" >Plant</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.077</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >0.524</td><td align="center" valign="middle" >0.0246</td><td align="center" valign="middle" >&lt;0.0001</td></tr><tr><td align="center" valign="middle" >Water * Plant</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.344</td><td align="center" valign="middle" >0.387</td><td align="center" valign="middle" >0.007</td><td align="center" valign="middle" >0.0113</td><td align="center" valign="middle" >0.001</td></tr></tbody></table></table-wrap><fig-group id="fig1"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Response of millet growth parameters (height, number of leaves, dry aboveground biomass) to simulated drought stress and soil treatments: (i) millet alone (“M”) and (ii) millet intercropped with P. reticulatum (“M + S”). Letters denote significant differences among treatment means (Fishers’s test, P &lt; 0.05).</title></caption><fig id ="fig1_1"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1660380x2.png"/></fig><fig id ="fig1_2"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1660380x3.png"/></fig><fig id ="fig1_3"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1660380x4.png"/></fig><fig id ="fig1_4"><label></label><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1660380x5.png"/></fig></fig-group><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Two axis diagram of RDA ordination of the investigated soil samples, showing weights and orientation of samples and soil variables, i.e. nematode abundance, soil basal respiration (total and by trophic groups) and dry aboveground biomass of plants grown in the pot experiment</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1660380x6.png"/></fig><p>the-less did show significant effects due to shrub intercropping (<xref ref-type="table" rid="table2">Table 2</xref>). Total abundance of bacterial feeding nematodes (120 individuals 100 g<sup>−1</sup> dry soil) in the NSt treatment was significantly reduced to 96 individuals 100 g<sup>−1</sup> dry soil in SSt treatment. The moderate or severely water stressed treatments for fungal feeding nematodes were not significantly different than the control.</p><p>Soil basal respiration, metabolic quotient and microbial biomass.</p><p>The results showed that after 55-days, the various water stress treatments all had significant effects on soil basal respiration (P &lt; 0.0001; <xref ref-type="table" rid="table2">Table 2</xref>) regardless of plant management treatments. The basal respiration n SSt treatment was much lower than the NSt treatment at 3.25 and 5.60 &#181;g C-CO<sub>2</sub> g<sup>−1</sup> dry soil h<sup>−1</sup>, respectively. Under SSt, the Mi + S and Mi treatments were not significantly different than C treatment for basal respiration.</p><p>qCO<sub>2</sub> ranged from 0.062 to 0.180 &#181;g C-CO<sub>2</sub> &#181;g<sup>−1</sup>C<sub>mic</sub> h<sup>−1</sup> and was significantly affected by the shrub and water stress treatments (P &lt; 0.05; <xref ref-type="table" rid="table2">Table 2</xref>). qCO<sub>2</sub> was highest in the NSt treatment, regardless of the planting treatment. In contrast, the SSt treatment had the lowest qCO<sub>2</sub> values.</p><p>Eigenvalues derived from RDA showed that first axis explained 39% of the total variance and the second axis 5% (<xref ref-type="fig" rid="fig2">Figure 2</xref>) and that water stress was discriminated along axis one. There were significant differences between groups corresponding to the three (3) level of WHC based on RDA plots using PermAnova Analysis (<xref ref-type="table" rid="table3">Table 3</xref>). All variables (nematodes trophic groups, soil basal respiration, plant biomass) in this study</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> PerManova on bray-curtis distances for evaluation of differences in variables between groups in RDA ordination</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Source</th><th align="center" valign="middle" >d.f.</th><th align="center" valign="middle" >SS</th><th align="center" valign="middle" >MS</th><th align="center" valign="middle" >F</th><th align="center" valign="middle" >p</th></tr></thead><tr><td align="center" valign="middle" >Sym</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >0.79702</td><td align="center" valign="middle" >0.72</td><td align="center" valign="middle" >42.311</td><td align="center" valign="middle" >0.0002</td></tr><tr><td align="center" valign="middle" >Residual</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >0.061</td><td align="center" valign="middle" >0.002</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >0.85867</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="6"  >Pairwise comparisons of the significant difference between group according to the water stress treatment</td></tr><tr><td align="center" valign="middle" >Level of stress</td><td align="center" valign="middle" >t</td><td align="center" valign="middle" >p</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NS vs. MS</td><td align="center" valign="middle" >5.352</td><td align="center" valign="middle" >0.0002</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >NS vs. SS</td><td align="center" valign="middle" >6.364</td><td align="center" valign="middle" >0.0002</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >MS vs. SS</td><td align="center" valign="middle" >1.954</td><td align="center" valign="middle" >0.0326</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="6"  >Randomization test of significance of pseudo F value</td></tr></tbody></table></table-wrap><p>were negatively correlated with the SSt treatment indicating that soil metabolic activity and nematode trophic diversity were negatively correlated with the SSt treatment.</p></sec><sec id="s4"><title>4. Discussion</title><p>Effects of water stress and shrub association on millet dry matter yield</p><p>All plant morphological measurements responded negatively to severe drought stress, especially when millet was grown at 20% of WHC. Similar results were reported by others [<xref ref-type="bibr" rid="scirp.72557-ref39">39</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref40">40</xref>] . Drought-induced stress has been linked to the modification of plant physiological traits, which in turn affects morphological parameters [<xref ref-type="bibr" rid="scirp.72557-ref41">41</xref>] . For example, water stress causes interruption of water flow from the xylem to the surrounding elongating cells, which in turn reduces plant height [<xref ref-type="bibr" rid="scirp.72557-ref42">42</xref>] .</p><p>Drought stress reduced aboveground dry matter and produced smaller leaves that reduced light interception [<xref ref-type="bibr" rid="scirp.72557-ref43">43</xref>] thus affecting photosynthesis. In our greenhouse experiment there was no positive millet response to shrub intercropping shrub in contrast to what has been previously reported in field studies [<xref ref-type="bibr" rid="scirp.72557-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref44">44</xref>] .</p><p>A major difference was that under field conditions shrubs perform hydraulic lift [<xref ref-type="bibr" rid="scirp.72557-ref45">45</xref>] which is the movement of water along a water potential gradient that is high in the subsoil and low in the surface. This happens at night when stomata close and water moves up through tap roots and is released to surrounding soil by surface roots. Indirect evidence from the study by [<xref ref-type="bibr" rid="scirp.72557-ref25">25</xref>] , suggests that shrubs can assist crops through drought periods and [<xref ref-type="bibr" rid="scirp.72557-ref45">45</xref>] showed that under field conditions, there is no negative competition for water between shrubs and crops which in part was due to these two types of plants having roots in different layers of the soil. Obviously, in the current study using pots, hydraulic lift was not a factor and the roots of both shrubs and millet were exploring the same soil. So in fact these two factors as expressed in our experimental design, a situation for water competition between millet and shrubs occurred.</p><p>Effects of water stress and shrub association on soil basal respiration</p><p>Basal respiration decreased with SSt treatment, yet microbial biomass was unaffected. However in MSt soils, basal respiration was not significantly different than NSt treatment. This may be related to the fact that soil fauna inhabiting tropical sandy soil, which are frequently exposed to drought conditions in their natural environment, are already adapted to this stress. Kaiserman et al. [<xref ref-type="bibr" rid="scirp.72557-ref20">20</xref>] reported that moderate droughts had no effect on overall CO<sub>2</sub> emissions but severe droughts led to a lower loss of soil C due to the absence of mineralization during the longer periods of desiccation. Microorganisms are crucial components of the soil C cycle as they mineralize soil organic matter providing nutrients for plant growth and crop productivity. When subjected to water stress, soil microorganisms initiate physiological responses that shift resource allocation, potentially altering the flow of C and N [<xref ref-type="bibr" rid="scirp.72557-ref9">9</xref>] , and thus negatively affecting millet productivity. The results demonstrated that MSt soil treatments were not significantly different in terms of soil basal respiration and microbial biomass compared to the NSt treatments. This is consistent with other studies of semi-arid ecosystems that have shown microbial behavioral and physiological adaptations to water stress [<xref ref-type="bibr" rid="scirp.72557-ref46">46</xref>] .</p><p>The metabolic quotient (qCO<sub>2</sub>) has been proposed as an index of microbial disturbance and stress [<xref ref-type="bibr" rid="scirp.72557-ref47">47</xref>] . This indicator initially had high values for the non-stressed control but then tended to decrease for all treatments―particularly for the severely stressed treatment. However, there were no significant differences due to the crop effect or water stress treatments. The overall decreasing trend in qCO<sub>2</sub> across all treatments may reflect the general soil disturbance [<xref ref-type="bibr" rid="scirp.72557-ref48">48</xref>] .</p><p>Effects of water stress and millet-shrub association on nematode community</p><p>The results indicate that nematofauna were very sensitive to water stress irrespective of shrub presence (<xref ref-type="fig" rid="fig3">Figure 3</xref>). There were significant changes in the total nematode abundance after 55 days due to various water stress treatments. However, nematode ab-</p><fig id="fig3"  position="float"><label><xref ref-type="fig" rid="fig3">Figure 3</xref></label><caption><title> Response of bacterial-feeders, fungal-feeders, omnivores, carnivores and plant-para- sites to shrub association and water stress</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/1-1660380x7.png"/></fig><p>undance in NSt treatment were very similar to what Diakhat&#233; et al. [<xref ref-type="bibr" rid="scirp.72557-ref8">8</xref>] reported from samples taken in the field at the same site where soils were retrieved for the pot experiment. When soil was submitted to water stress, nematode population density was significantly reduced (<xref ref-type="fig" rid="fig3">Figure 3</xref>) which shows the sensitivity of nematodes to water levels [<xref ref-type="bibr" rid="scirp.72557-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref49">49</xref>] .</p><p>Evaluation of trophic levels of nematodes, the data showed that the dominant nematode trophic groups in the intercropping system were bacterial feeding and plant feeding nematodes. These results could be explained by the fact that bacterial feeding nematodes are the most abundant soil nematodes and were positively correlated with water availability [<xref ref-type="bibr" rid="scirp.72557-ref50">50</xref>] . This result is in line with [<xref ref-type="bibr" rid="scirp.72557-ref12">12</xref>] who found a high sensitivity of bacterial-feeding nematodes to drought. In contrast, plant feeding nematode abundance corresponds to the presence of the millet roots as sole millet or millet plus shrub. The results previous reports that soil nematodes are sensitive to environmental disturbance and water stress [<xref ref-type="bibr" rid="scirp.72557-ref51">51</xref>] [<xref ref-type="bibr" rid="scirp.72557-ref52">52</xref>] .</p></sec><sec id="s5"><title>5. Conclusion</title><p>In summary, the results represent a contribution to the understanding of soil microbial community response in terms of adaptation of microbial biomass, shifts in nematode trophic groups and the negative impact on millet production in the context of imposed water stress. Climate change effects, such as severe drought, may impact microbial respiration such as microbial quotient rather than the abundance of microorganisms and led to decreases in nematode abundance (e.g., drought intolerant bacterivores). Our study highlighted water stress thresholds beyond which a decrease in microbial activity and nematode abundance can be observed. More work is needed to elucidate the physiology and ecology of microorganisms and nematode relationships on nutrient cycling in soil food webs in response to climatic change, especially in areas with arid climate regimes.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We thank Moustapha San&#233; for soil analysis, Roger Bayala for help in the field, Alpha Oumar Ba and Djibril Djigal for Nematodes analysis. This work was funded by the by the USAID PEER Program under grant agreement: #AID-OAA-A-11-00012 in collaboration with the US National Science Foundation.</p></sec><sec id="s7"><title>Cite this paper</title><p>Diakhat&#233;, S., Badiane-Ndour, N.-Y., Founoune-Mboup, H., Diatta, S., Fall, A.F., Hernandez, R.R., Cournac, L., Dick, R. and Chapuis-Lardy, L. (2016) Impact of Simulated Drought Stress on Soil Microbiology, and Nematofauna in a Native Shrub + Millet Intercropping System in Senegal. Open Journal of Soil Science, 6, 189-203. http://dx.doi.org/10.4236/ojss.2016.612018</p></sec></body><back><ref-list><title>References</title><ref id="scirp.72557-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Schmidhuber, J. and Tubiello, F.N. (2007) Global Food Security under Climate Change. Proceedings of the National Academies of Sciences of the United States of America, 104, 19703-19708. https://doi.org/10.1073/pnas.0701976104</mixed-citation></ref><ref id="scirp.72557-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Lobell, D.B., Burke, M.B., Tebaldi, C., Mastrandrea, M.D., Falcon, W.P. and Naylor, R.L. (2008) Prioritizing Climate Change Adaptation Needs for Food Security in 2030. 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