Multivariate Analysis of the Cotton Seed Ionome Reveals a Shared Genetic Architecture.

ABSTRACT: To mitigate the effects of heat and drought stress, a better understanding of the genetic control of physiological responses to these environmental conditions is needed. To this end, we evaluated an upland cotton (Gossypium hirsutum L.) mapping population under water-limited and well-watered conditions in a hot, arid environment. The elemental concentrations (ionome) of seed samples from the population were profiled in addition to those of soil samples taken from throughout the field site to better model environmental variation. The elements profiled in seeds exhibited moderate to high heritabilities, as well as strong phenotypic and genotypic correlations between elements that were not altered by the imposed irrigation regimes. Quantitative trait loci (QTL) mapping results from a B

SUBMITTER: Pauli D 

PROVIDER: S-EPMC5873906 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature