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        <dc:title>Genetic variability, genotype × environment interaction and correlation analysis for grain iron and zinc contents in recombinant inbred line population of pearl millet [Pennisetum glaucum (L). R.</dc:title>
        <dc:creator>Mahendrakar, M D</dc:creator>
        <dc:creator>Kumar, S</dc:creator>
        <dc:creator>Singh, R B</dc:creator>
        <dc:creator>Rathore, A</dc:creator>
        <dc:creator>Potupureddi, G</dc:creator>
        <dc:creator>KaviKishor, P B</dc:creator>
        <dc:creator>Gupta, R</dc:creator>
        <dc:creator>Srivastava, R K</dc:creator>
        <dc:subject>Cereals</dc:subject>
        <dc:subject>Pearl Millet</dc:subject>
        <dc:subject>Genetics and Genomics</dc:subject>
        <dc:subject>Food and Nutrition</dc:subject>
        <dc:description>Micronutrient malnutrition is one of the major health&#13;
problems, especially iron (Fe) and zinc (Zn) deficiencies&#13;
that are widespread coupled with inadequate food supply&#13;
in the developing world. Pearl millet grains are a good source&#13;
of Fe and Zn elements making it a potential staple crop for&#13;
overcoming hidden-hunger and micronutrient deficiencies.&#13;
Breeding pearl millet with high levels of grain Zn and Fe&#13;
contents represents a major opportunity to enhance the&#13;
intake of these minerals for poor and malnourished people.&#13;
A precise understanding of the genetic variability,&#13;
correlation of mineral nutrients, genotype × environment&#13;
(G × E) interaction is important for developing improved&#13;
lines with high Fe and Zn content. To get fair estimates, we&#13;
used a bi-parental recombinant inbred lines (RIL) mapping&#13;
population representing F2 phenotypic variance. A total of&#13;
317 RILs were evaluated for grain iron and zinc content in&#13;
two seasons, Summer 2016 (E1) and Summer 2017 (E2).&#13;
The result from the analysis of variance exhibited a large&#13;
variability for grain Fe and Zn content across the two&#13;
environments. The G × E for high grain Fe were significant&#13;
at P &lt; 0.01. The mean performance across the two&#13;
environments data for grain Fe ranged from 22.9 to 154.5&#13;
mg kg-1 (ppm) and Zn content ranged from 19.3 to 121 mg&#13;
kg-1. The correlation coefficient for grain Fe and Zn was 0.9,&#13;
and 0.8 and across the two (E1 and E2) environments. The&#13;
value of correlation coefficient (0.9) was found to be highly&#13;
significant at P &lt; 0.01 level, that indicated good&#13;
opportunities for simultaneous genetic improvement of&#13;
both iron and zinc contents in pearl millet.</dc:description>
        <dc:publisher>Indian Society of Genetics &amp; Plant Breeding</dc:publisher>
        <dc:date>2019-07</dc:date>
        <dc:type>Article</dc:type>
        <dc:type>PeerReviewed</dc:type>
        <dc:format>application/pdf</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/11399/1/Genetic-variability-genotype-environment-interaction-and-correlation-analysis-for-grain-iron-and-zinc-contents-in-recombinant-inbred-line-population-of-pearl-millet-Pennisetum-glaucum-L-R.pdf</dc:identifier>
        <dc:identifier>  Mahendrakar, M D and Kumar, S and Singh, R B and Rathore, A and Potupureddi, G and KaviKishor, P B and Gupta, R and Srivastava, R K  (2019) Genetic variability, genotype × environment interaction and correlation analysis for grain iron and zinc contents in recombinant inbred line population of pearl millet [Pennisetum glaucum (L). R.  Indian Journal of Genetics and Plant Breeding (TSI), 79 (3).  pp. 545-551.  ISSN 0019-5200     </dc:identifier>
        <dc:relation>https://doi.org/10.31742/IJGPB.79.3.3</dc:relation>
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