Your browser doesn't support javascript.
loading
Detailed Genetic Analysis for Identifying QTLs Associated with Drought Tolerance at Seed Germination and Seedling Stages in Barley.
Moursi, Yasser S; Thabet, Samar G; Amro, Ahmed; Dawood, Mona F A; Baenziger, P Stephen; Sallam, Ahmed.
Afiliação
  • Moursi YS; Department of Botany, Faculty of Science, University of Fayoum, Fayoum 63514, Egypt.
  • Thabet SG; Department of Botany, Faculty of Science, University of Fayoum, Fayoum 63514, Egypt.
  • Amro A; Department of Botany and Microbiology, Faculty of Science, Assiut University, Asyut 71516, Egypt.
  • Dawood MFA; Department of Botany and Microbiology, Faculty of Science, Assiut University, Asyut 71516, Egypt.
  • Baenziger PS; Department of Agronomy & Horticulture, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.
  • Sallam A; Department of Genetics, Faculty of Agriculture, Assiut University, Asyut 71526, Egypt.
Plants (Basel) ; 9(11)2020 Oct 24.
Article em En | MEDLINE | ID: mdl-33114292
ABSTRACT
Drought induces several challenges for plant development, growth, and production. These challenges become more severe, in particular, in arid and semiarid countries like Egypt. In terms of production, barley ranks fourth after wheat, maize, and rice. Seed germination and seedling stages are critical stages for plant establishment and growth. In the current study, 60 diverse barley genotypes were tested for drought tolerance using two different treatments control (0-PEG) and drought (20%-PEG). Twenty-two traits were estimated for seed germination and seedling parameters. All traits were reduced under drought stress, and a significant variation was found among genotypes under control and stress conditions. The broad-sense heritability estimates were very high under both control and drought for all traits. It ranged from 0.63 to 0.97 under the control condition and from 0.89 to 0.97 under drought, respectively. These high heritabilities suggested that genetic improvement of drought tolerance in barley at both stages is feasible. The principal component analysis revealed that root-related parameters account for the largest portion of phenotypic variation in this collection. The single-marker analysis (SMA) resulted in 71 quantitative trait loci (QTLs) distributed across the seven chromosomes of barley. Thirty-three QTLs were detected for root-length-related traits. Many hotspots of QTLs were detected for various traits. Interestingly, some markers controlled many traits in a pleiotropic manner; thus, they can be used to control multiple traits at a time. Some QTLs were constitutive, i.e., they are mapped under control and drought, and targeting these QTLs makes the selection for drought tolerance a single-step process. The results of gene annotation analysis revealed very potential candidate genes that can be targeted to select for drought tolerance.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article