<mods:mods version="3.3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mods:titleInfo><mods:title>Stability Performance of Inductively Coupled Plasma Mass Spectrometry-Phenotyped Kernel Minerals Concentration and Grain Yield in Maize in Different Agro-Climatic Zones</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">M G</mods:namePart><mods:namePart type="family">Mallikarjuna</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">N</mods:namePart><mods:namePart type="family">Thirunavukkarasu</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">F</mods:namePart><mods:namePart type="family">Hossain</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">J S</mods:namePart><mods:namePart type="family">Bhat</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S K</mods:namePart><mods:namePart type="family">Jha</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">A</mods:namePart><mods:namePart type="family">Rathore</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">P K</mods:namePart><mods:namePart type="family">Agrawal</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">A</mods:namePart><mods:namePart type="family">Pattanayak</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S S</mods:namePart><mods:namePart type="family">Reddy</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S K</mods:namePart><mods:namePart type="family">Gularia</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">A M</mods:namePart><mods:namePart type="family">Singh</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">K M</mods:namePart><mods:namePart type="family">Manjaiah</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">H S</mods:namePart><mods:namePart type="family">Gupta</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Deficiency of iron and zinc causes micronutrient malnutrition or hidden hunger, which&#13;
severely affects ~25% of global population. Genetic biofortification of maize has emerged&#13;
as cost effective and sustainable approach in addressing malnourishment of iron and zinc&#13;
deficiency. Therefore, understanding the genetic variation and stability of kernel micronutrients&#13;
and grain yield of the maize inbreds is a prerequisite in breeding micronutrient-rich high&#13;
yielding hybrids to alleviate micronutrient malnutrition. We report here, the genetic variability&#13;
and stability of the kernel micronutrients concentration and grain yield in a set of 50 maize&#13;
inbred panel selected from the national and the international centres that were raised at six&#13;
different maize growing regions of India. Phenotyping of kernels using inductively coupled&#13;
plasma mass spectrometry (ICP-MS) revealed considerable variability for kernel minerals&#13;
concentration (iron: 18.88 to 47.65 mg kg–1; zinc: 5.41 to 30.85 mg kg–1; manganese: 3.30&#13;
to17.73 mg kg–1; copper: 0.53 to 5.48 mg kg–1) and grain yield (826.6 to 5413 kg ha–1). Significant&#13;
positive correlation was observed between kernel iron and zinc within (r = 0.37 to r =&#13;
0.52, p &lt; 0.05) and across locations (r = 0.44, p &lt; 0.01). Variance components of the additive&#13;
main effects and multiplicative interactions (AMMI) model showed significant genotype&#13;
and genotype × environment interaction for kernel minerals concentration and grain yield.&#13;
Most of the variation was contributed by genotype main effect for kernel iron (39.6%), manganese&#13;
(41.34%) and copper (41.12%), and environment main effects for both kernel zinc&#13;
(40.5%) and grain yield (37.0%). Genotype main effect plus genotype-by-environment interaction&#13;
(GGE) biplot identified several mega environments for kernel minerals and grain&#13;
yield. Comparison of stability parameters revealed AMMI stability value (ASV) as the better&#13;
representative of the AMMI stability parameters. Dynamic stability parameter GGE distance&#13;
(GGED) showed strong and positive correlation with both mean kernel concentrations and&#13;
grain yield. Inbreds (CM-501, SKV-775, HUZM-185) identified from the present investigation&#13;
will be useful in developing micronutrient-rich as well as stable maize hybrids without&#13;
compromising grain yield.</mods:abstract><mods:classification authority="lcc">Maize</mods:classification><mods:classification authority="lcc">Climate Change</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2015-09-25</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Public Library of Science</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mods:mods>