Genetic control of some plant growth characteristics of bread wheat (Triticum aestivum L.) under aluminum stress.

Genes Genomics

CSIRO Agriculture, Queensl and Bioscience Precinct, 306 Carmody Rd, St Lucia, QLD, 4067, Australia.

Published: March 2020

AI Article Synopsis

  • Biomass yield in wheat is crucial for breeding programs, particularly in regions with aluminum toxicity in acidic soils.
  • Researchers aimed to identify quantitative trait loci (QTL) linked to growth and yield traits using a specific population of wheat lines under varying aluminum treatments.
  • A total of 40 QTLs were identified, with many showing stability across environments, which could enhance future strategies for increasing the biomass yield of wheat cultivars.

Article Abstract

Background: Biomass yield is an important trait for wheat breeding programs. Enhancing the yield of the aerial components of wheat cultivars will be an integral part of future wheat improvement. Aluminum (Al) toxicity is one of the main factors limiting wheat growth and production in acid soils, which occur on up to 50% of the arable lands of the world especially in tropical and subtropical regions.

Objective: Our objective was to identify quantitative trait loci (QTL) of plant growth characteristics and yield in wheat.

Methods: A recombinant inbred line (RIL) population consisting of 167 lines, derived from a cross between SeriM82 and Babax were evaluated under two Al treatments (+ Al, 800 µM of Al; -Al, 0 µM of Al) in the field based on an alpha lattice design with two replications for two consecutive crop seasons.

Results: A total of 40 QTLs including nine putative and 31 suggestive QTLs were found for all traits using the composite interval mapping (CIM) method. By mixed model-based composite interval mapping (MCIM) method, 42 additive QTLs and nine pairs of epistatic effects were detected for studied traits, of which 20 additive and six pairs of epistatic QTLs showed significant QTL × environment interactions. Most of the detected QTLs across environments were stable, and the highest number of stable QTLs was related to A genome. Co-localization of QTL was found on linkage groups (LGs) 2B, 4B, 6A-a, and 7A (CIM method) and 2A-d, and 6A-a (MCIM method).

Conclusion: These results have implications for selection strategies in biomass yield and for increasing the yield of the aerial part of wheat following further evaluations in various genetic backgrounds and environments.

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Source
http://dx.doi.org/10.1007/s13258-019-00895-7DOI Listing

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