Natural variations and genome-wide association studies in crop plants.

By Xuehui Huang, Bin Han. Annual Review of Plant Biology, 2014

629 citations recorded by the source corpus.

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/9017547bd9db835f5bf8fb0d8791db541d6944e7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Zefeng Yang
2. Yang Xu
3. Caixia Gao
4. Chenwu Xu
5. H. D. Upadhyaya
6. Pengcheng Li

In Plant Science

1. S. Dwivedi
2. H. D. Upadhyaya
3. Mohar Singh
4. Caixia Gao
5. C. Gowda

Citations in the corpus

• Genetic mapping of quantitative trait loci in crops (2017, background): “The last decades have seen a revolution in our understanding of genotypes, and now genotypes can be determined to the level of individual nucleotides and rapidly sequenced genome-wide at dramatically declining cost [85].”
• Genome engineering for crop improvement and future agriculture. (2021, positive): “Deep sequencing-based GWAS and pan-genome technologies have revealed that a large number of single-nucleotide polymorphisms (SNPs) and structural variants (SVs) are linked to quantitative trait variation in plants (Huang and Han, 2014).”
• Genetic and Genomic Resources for Grain Cereals Improvement (2015, background): “With the completion of reference genome sequence, the advent of high throughput sequencing technology now enables rapid and accurate sequencing of a large number of crop genomes to detect the genetic basis of phenotypic variations in crops (Huang and Han, 2014).”