Identification and mapping of a QTL (qDTY1.1) with a consistent effect on grain yield under drought

By K. Ghimire, L. Quiatchon, P. Vikram, B. Swamy, Shalabh Dixit, H. Ahmed, Jose Hernandez, T. Borromeo, Arvind Kumar. 2012

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Rice Breeding for High Grain Yield under Drought: A Strategic Solution to a Complex Problem (2014, background): “QTLs for grain yield under drought at this locus have also been reported in other populations derived from crosses CT9993-5-10-1-M/IR62266-42-6-2, Apo/IR64, Dhagad deshi/Swarna, and Dhagad deshi/IR64 [23, 29, 30].”
Bridging the Rice Yield Gaps under Drought: QTLs, Genes, and their Use in Breeding Programs (2017, background): “Identification of genetic regions linked to drought tolerance using genotyping strategies such as selective genotyping (SG), whole-genome genotyping (WGG), bulk segregant analysis (BSA) [50,51,167,168], genome-wide association studies (GWAS, an improved version of marker-assisted selection) [169–172”
Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvement (2013, background): “Furthermore, it is straightforward to expand hierarchical models to include non-normal data (Gelman et al. 2003; Gelman and Hill 2007; Greenberg et al. 2010), handle unbalanced designs (Gelman et al. 2003; Greenberg et al. 2010), incorporate variable assay quality (Greenberg et al. 2010, 2011),…”