D
David A. Hoisington
Researcher at International Crops Research Institute for the Semi-Arid Tropics
Publications - 39
Citations - 2957
David A. Hoisington is an academic researcher from International Crops Research Institute for the Semi-Arid Tropics. The author has contributed to research in topics: Genetic marker & Germplasm. The author has an hindex of 22, co-authored 39 publications receiving 2749 citations.
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Journal ArticleDOI
Molecular Marker Mapping of Leaf Rust Resistance Gene Lr46 and Its Association with Stripe Rust Resistance Gene Yr29 in Wheat
TL;DR: This study established the precise genomic location of gene Lr46 at the distal end of the long arm of wheat chromosome 1B and identified a gene that is closely linked to Lr 46 and confers moderate levels of adult plant resistance to stripe rust.
Journal Article
Advances in cereal genomics and applications in crop breeding [Erratum: 2007 Jan., v. 25, issue 1, p. 1.]
TL;DR: In this paper, the authors used molecular genetic mapping of quantitative trait loci (QTL) of several complex traits that are important in breeding to enhance the prediction of phenotypes from genotypes for cereal breeding.
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Orphan legume crops enter the genomics era
Rajeev K. Varshney,Rajeev K. Varshney,Timothy J. Close,Nagendra K. Singh,David A. Hoisington,Douglas R. Cook +5 more
TL;DR: The focus of these activities is the development of genome-scale data sets that can be used in high-throughput approaches to facilitate genomics-assisted breeding in these legumes.
Journal ArticleDOI
Advances in cereal genomics and applications in crop breeding
TL;DR: This work uses molecular genetic mapping of quantitative trait loci (QTL) of several complex traits that are important in breeding to enhance the prediction of phenotypes from genotypes for cereal breeding.
Journal ArticleDOI
AFLP-based molecular characterization of an elite germplasm collection of Jatropha curcas L., a biofuel plant.
Leela Tatikonda,Suhas P. Wani,Seetha Kannan,Naresh Beerelli,Thakur K. Sreedevi,David A. Hoisington,Prathibha Devi,Rajeev K. Varshney +7 more
TL;DR: Molecular diversity estimated in the present study combined with the datasets on other morphological/agronomic traits will be very useful for selecting the appropriate accessions for plant improvement through conventional as well as molecular breeding approaches.