<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>Integrative genome-wide association studies (GWAS) to understand complex genetic architecture of quantitative traits in chickpea</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">S K</mods:namePart><mods:namePart type="family">Parida</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">Kujur</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">D</mods:namePart><mods:namePart type="family">Bajaj</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">Das</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">R.</mods:namePart><mods:namePart type="family">Srivastava</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">Badoni</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">-</mods:namePart><mods:namePart type="family">Laxmi</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">V</mods:namePart><mods:namePart type="family">Thakro</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">U</mods:namePart><mods:namePart type="family">Basu</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">Daware</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">H D</mods:namePart><mods:namePart type="family">Upadhyaya</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">Tripathi</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:name type="personal"><mods:namePart type="given">C</mods:namePart><mods:namePart type="family">Bharadwaj</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Development of high-yielding stress-tolerant chickpea cultivars&#13;
is essential to enhance its yield potential and productivity amidst&#13;
climate change scenario. Unfortunately, superior lines/recombinants&#13;
producing higher pod and seed yield under stress are not&#13;
available in world chickpea collection. Therefore, genetic dissection&#13;
of complex stress tolerance and yield-contributing quantitative&#13;
traits is the prime objective in current chickpea genomics&#13;
and breeding research. Our study employed diverse GWAS-assisted&#13;
integrated genomic strategies involving classical genetic&#13;
inheritance analysis, QTL mapping, differential transcript profiling,&#13;
molecular haplotyping and haplotype-based gene domestication/&#13;
evolution study for rapid quantitative dissection of complex&#13;
yield and stress tolerance traits in chickpea. To accomplish&#13;
this, multi-location/years replicated yield traits-related field&#13;
phenotyping and high-throughput marker genotyping information&#13;
generated from numerous natural germplasm accessions&#13;
(association panel) and multiple intra- and inter-specific mapping&#13;
populations of chickpea were deployed in the aforesaid&#13;
combinatorial genomic approaches. These analyses delineated&#13;
12 novel alleles and six haplotypes from 10 transcription factor&#13;
genes and 16 major QTLs/eQTLs governing yield and stress tolerance&#13;
traits that were mapped on 10 ultra-high density chickpea&#13;
genetic linkage maps. The superior natural alleles/haplotypes of&#13;
two major genes (QTLs) regulating seed weight and pod/seed&#13;
number identified from cultivated and wild Cicer gene pools are&#13;
being introduced into multiple high-yielding Indian varieties of&#13;
chickpea for its marker-assisted genetic improvement. The potential&#13;
molecular signatures delineated using integrated genomics-&#13;
assisted breeding strategies have functional significance to&#13;
understand the molecular genetic mechanism and natural allelic&#13;
diversity-led domestication pattern underlying these complex&#13;
quantitative traits at a genome-wide scale, leading to fast-paced&#13;
translational genomics for chickpea genetic enhancement.&#13;
These essential outcomes will be useful for devising the most&#13;
efficient strategies to produce high-yielding climate-resilient&#13;
chickpea cultivars for sustaining global food security.</mods:abstract><mods:classification authority="lcc">Chickpea</mods:classification><mods:classification authority="lcc">Genetics and Genomics</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2017-02</mods:dateIssued></mods:originInfo><mods:genre>Conference or Workshop Item</mods:genre></mods:mods>