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<article article-type="research-article" dtd-version="1.0" xml:lang="en"
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    <front>
        <journal-meta>
            <journal-id journal-id-type="issn">0973-7510</journal-id>
            <journal-title-group>
                <journal-title>Journal of Pure and Applied Microbiology</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2581-690X</issn>
            <publisher>
                <publisher-name>DR. M.N. Khan</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.22207/JPAM.10.4.39</article-id>
            <title-group>
                <article-title>Selection Indices for Yield Improvement in
Bread Wheat (Triticum aestivum L.)</article-title>
            </title-group>
            <contrib-group>
				<contrib contrib-type="author">
                    <name>
                        <surname>Malav</surname>
                        <given-names>Ashok Kumar</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff-1"/>
                </contrib>
				<contrib contrib-type="author">
<string-name>Indu</string-name>
<xref ref-type="aff" rid="aff-1"/>
</contrib>
				<contrib contrib-type="author">
                    <name>
                        <surname>B.A.</surname>
                        <given-names>Monpara</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff-1"/>
                </contrib>
				
				<contrib contrib-type="author">
                    <name>
                        <surname>Raghuwanshi</surname>
                        <given-names>Satyendra S.</given-names>
                    </name>
                    <xref ref-type="aff" rid="aff-1"/>
                </contrib>
				
						
            </contrib-group>
			
			
            <aff id="aff-1">Department of Genetics and Plant Breeding, College of Agriculture, J.A.U., Junagadh - 362 001, India.</aff>
	 
			
			
            <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2016-12-30">
                <day>30</day>
                <month>12</month>
                <year>2016</year>
            </pub-date>
            <volume>10</volume>
            <issue>4</issue>
            <fpage>2801</fpage>
            <lpage>2805</lpage>
            <permissions>
                <copyright-statement>Copyright &#x00A9; 2016 The Author(s)</copyright-statement>
                <copyright-year>2016</copyright-year>
                <license license-type="open-access"
                    xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License which permits unrestricted use, sharing, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.<uri 
					xlink:href="https://creativecommons.org/licenses/by/4.0/"
                            >https://creativecommons.org/licenses/by/4.0/</uri></license-p>
                </license>
            </permissions>
            <self-uri xlink:href="https://www.microbiologyjournal.org/selection-indices-for-yield-improvement-in-bread-wheat-triticum-aestivum-l/"/>
            <abstract>
                <p>Fifty diverse genotypes of bread wheat were evaluated in a randomized block
design with three replication for the study of selection indices during Rabi, 2013. Thirtyone
selection indices involving grain yield per plant (X1) and four yield components viz.,
biological yield per plant (X2), number of grains per main spike (X3), 1000-grain weight
(X4) and grain weight per main spike (X5) were constructed using the discriminant function
analysis. Discriminant function analysis indicated that selection efficiency of the function
was improved by increasing the number of characters in the index. Among the single
character indices, number of grains per main spike exhibited higher genetic advance and
relative efficiency over straight selection for grain yield per plant. The index based on
five characters viz., grain yield per plant, biological yield per plant, number of grains per
main spike, 1000-grain weight and grain weight per main spike recorded the highest
genetic advance as well as relative efficiency and selection efficiency. These characters
could be advantageously exploited in the bread wheat breeding programmes.
		</p>
		</abstract>
		<kwd-group>
        <title>Keywords</title>
        <kwd>Discriminant function</kwd>
        <kwd>relative efficiency</kwd>
			<kwd>expected genetic advance</kwd>
			<kwd>selection indices and bread wheat</kwd>
         </kwd-group>
        </article-meta>
    </front>
    </article>
