Author:
McCouch Susan R.,Wright Mark H.,Tung Chih-Wei,Maron Lyza G.,McNally Kenneth L.,Fitzgerald Melissa,Singh Namrata,DeClerck Genevieve,Agosto-Perez Francisco,Korniliev Pavel,Greenberg Anthony J.,Naredo Ma. Elizabeth B.,Mercado Sheila Mae Q.,Harrington Sandra E.,Shi Yuxin,Branchini Darcy A.,Kuser-Falcão Paula R.,Leung Hei,Ebana Kowaru,Yano Masahiro,Eizenga Georgia,McClung Anna,Mezey Jason
Abstract
Abstract
Increasing food production is essential to meet the demands of a growing human population, with its rising income levels and nutritional expectations. To address the demand, plant breeders seek new sources of genetic variation to enhance the productivity, sustainability and resilience of crop varieties. Here we launch a high-resolution, open-access research platform to facilitate genome-wide association mapping in rice, a staple food crop. The platform provides an immortal collection of diverse germplasm, a high-density single-nucleotide polymorphism data set tailored for gene discovery, well-documented analytical strategies, and a suite of bioinformatics resources to facilitate biological interpretation. Using grain length, we demonstrate the power and resolution of our new high-density rice array, the accompanying genotypic data set, and an expanded diversity panel for detecting major and minor effect QTLs and subpopulation-specific alleles, with immediate implications for rice improvement.
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry
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