Enhancing Upland cotton for drought resilience, productivity, and fiber quality: comparative evaluation and genetic dissection

To provision the world sustainably, modern society must increase overall crop production, while conserving and preserving natural resources. Producing more with diminishing water resources is an especially daunting endeavor. Toward the goal of genetically improving drought resilience of cultivated U...

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Bibliographic Details
Published in:Molecular genetics and genomics : MGG 2020, Vol.295 (1), p.155-176
Main Authors: Ulloa, Mauricio, De Santiago, Luis M., Hulse-Kemp, Amanda M., Stelly, David M., Burke, John J.
Format: Article
Language:English
Subjects:
Animal Genetics and Genomics
Biochemistry
Biomedical and Life Sciences
Breeding - methods
Chromosome Mapping - methods
Cotton
Cotton Fiber
Crop production
Cultivars
Drought
Droughts
Gene mapping
Genetic Linkage - genetics
Genome, Plant - genetics
Genomes
Genotype
Gossypium - genetics
Gossypium hirsutum
Human Genetics
Inbreeding
Life Sciences
Microbial Genetics and Genomics
Nucleotide sequence
Original Article
Phenotype
Plant breeding
Plant Genetics and Genomics
Polymorphism, Single Nucleotide - genetics
Productivity
Quality
Quantitative trait loci
Quantitative Trait Loci - genetics
Single-nucleotide polymorphism
Water regimes
Water resources
Water shortages
Water stress
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Summary:To provision the world sustainably, modern society must increase overall crop production, while conserving and preserving natural resources. Producing more with diminishing water resources is an especially daunting endeavor. Toward the goal of genetically improving drought resilience of cultivated Upland cotton ( Gossypium hirsutum L.), this study addresses the genetics of differential yield components referred to as productivity and fiber quality traits under regular-water versus low-water (LW) field conditions. We used ten traits to assess water stress deficit, which included six productivity and four fiber quality traits on two recombinant inbred line (RIL) populations from reciprocally crossed cultivars, Phytogen 72 and Stoneville 474. To facilitate genetic inferences, we genotyped RILs with the CottonSNP63K array, assembled high-density linkage maps of over 7000 SNPs and then analyzed quantitative trait variations. Analysis of variance revealed significant differences for all traits ( p 
ISSN:1617-4615
1617-4623
DOI:10.1007/s00438-019-01611-6