<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>Exploiting Genetic Diversity for Adaptation and Mitigation of Climate Change: A Case of Finger Millet in East Africa</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">E O</mods:namePart><mods:namePart type="family">Manyasa</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">P</mods:namePart><mods:namePart type="family">Tongoona</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">P</mods:namePart><mods:namePart type="family">Shanahan</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">S</mods:namePart><mods:namePart type="family">Githiri</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">H F</mods:namePart><mods:namePart type="family">Ojulong</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:abstract>Eighty one finger millet germplasm accessions from East Africa were evaluated in eight environments in Kenya,&#13;
Tanzania and Uganda for adaptation and grain yield stability, genotype and genotype x environment (GGE)&#13;
models. Lanet 2012 long rains, Serere 2012 long rains and Miwaleni 2012 long rains were found to be the most&#13;
discriminating environments for the low temperature, sub-humid mid-altitude and dry lowland areas, respectively.&#13;
Seven genotypes were identifi ed for yield stability across the eight environments, whereas nine genotypes had&#13;
specifi c adaptation. Fourteen genotypes attained the highest grain yield and had varied maturity, plant heights&#13;
and grain colour. This will provide farmers the opportunity to select genotypes appropriate to their target agroecologies&#13;
with desired traits. The East African fi nger millet germplasm has high potential as a source of climate&#13;
smart, high yielding genotypes for direct production and/or breeding.</mods:abstract><mods:classification authority="lcc">Climate Adaptation</mods:classification><mods:classification authority="lcc">Climate Mitigation</mods:classification><mods:classification authority="lcc">Finger Millet</mods:classification><mods:classification authority="lcc">Genetics and Genomics</mods:classification><mods:classification authority="lcc">African Agriculture</mods:classification><mods:classification authority="lcc">East Africa</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2017</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Indian Society of Plant Genetic Resources</mods:publisher></mods:originInfo><mods:genre>Article</mods:genre></mods:mods>