<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    
    <Esri>
        
        <CreaDate>20191023</CreaDate>
        
        <CreaTime>14154300</CreaTime>
        
        <ArcGISFormat>1.0</ArcGISFormat>
        
        <ArcGISstyle>Item Description</ArcGISstyle>
        
        <SyncOnce>TRUE</SyncOnce>
        
    </Esri>
    
    <dataIdInfo>
        
        <idAbs>Total yield loss due to all abiotic constraints per MBPA (data values are % of total loss and should be multiplied by 10 to produce kg/ha).
Standardised to fit 1000kg/ha assumed loss.&lt;div&gt;&lt;br /&gt;&lt;/div&gt;&lt;div&gt;Variable: &lt;span style='background-color: rgb(247, 247, 247); color: rgb(51, 51, 51); font-family: &amp;quot;Avenir Next W01&amp;quot;, &amp;quot;Avenir Next W00&amp;quot;, &amp;quot;Avenir Next&amp;quot;, Avenir, &amp;quot;Helvetica Neue&amp;quot;, sans-serif; font-size: 14px;'&gt;AB_All_s&lt;/span&gt;&lt;/div&gt;</idAbs>
        
        <searchKeys>
            
            <keyword>Bean</keyword>
            
            <keyword>    Bean Atlas</keyword>
            
            <keyword>    Bean production</keyword>
            
            <keyword>    Africa</keyword>
            
            <keyword>    PABRA</keyword>
            
        </searchKeys>
        
        <idPurp>Yield reduction due to Abiotic constraints (kg/ha per MBPA)
</idPurp>
        
        <idCredit>PABRA, CIAT</idCredit>
        
        <resConst>
            
            <Consts>
                
                <useLimit>Waswa, B. (2019). Abiotic constraints to bean production. In: Farrow, A. &amp; Muthoni-Andriatsitohaina, R. (eds.). Atlas of common bean production in Africa (2ª ed.). Pan-Africa Bean Research Alliance Better Beans for Africa PABRA. pp 93-107</useLimit>
                
            </Consts>
            
        </resConst>
        
    </dataIdInfo>
    
    <Binary>
        
        <Thumbnail>
            
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
            
        </Thumbnail>
        
    </Binary>
    
</metadata>