Literature DB >> 30498895

Hybrid durum wheat: heterosis of grain yield and quality traits and genetic architecture of anther extrusion.

Wessam Akel1, Matthias Rapp1, Patrick Thorwarth1, Tobias Würschum1, C Friedrich H Longin2.   

Abstract

KEY MESSAGE: Hybrid durum has a promising yield potential coupled with good quality, but the efficiency of hybrid seed production must be improved. Hybrid breeding is a tremendous success story in many crops, but has not yet made a breakthrough in wheat, mainly due to inefficient hybrid seed production. In this study, we investigated the heterosis for grain yield and important quality traits in durum wheat of 33 hybrids built up from 24 parental lines, as well as the variation in anther extrusion and its genetic architecture in a vast collection of Central European elite durum lines. Average mid-parent heterosis for grain yield was 5.8%, and the best hybrids had a more than one ton per hectare higher grain yield than the best line cultivars. Furthermore, hybrids had a higher grain yield than lines at a given level of protein content or sedimentation value, underpinning their potential for a sustainable agriculture. However, seed set in our experimental hybrid seed production was low. We therefore evaluated 315 elite durum lines for visual anther extrusion, which revealed a large genetic variance and a heritability of 0.66. Results from association mapping suggest a mainly quantitative inheritance of visual anther extrusion with few putative QTL being identified, the largest one explaining less than 20% of the genotypic variance. Genome-wide prediction taking the four largest putative QTL into account yielded a mean cross-validated prediction ability of 0.55. Consequently, breeding for improved male floral characteristics is feasible in durum wheat, but should be mainly based on phenotypic selection.

Entities:  

Mesh:

Substances:

Year:  2018        PMID: 30498895     DOI: 10.1007/s00122-018-3248-6

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  25 in total

1.  Prediction of total genetic value using genome-wide dense marker maps.

Authors:  T H Meuwissen; B J Hayes; M E Goddard
Journal:  Genetics       Date:  2001-04       Impact factor: 4.562

2.  Marker-assisted selection using ridge regression.

Authors:  J C Whittaker; R Thompson; M C Denham
Journal:  Genet Res       Date:  2000-04       Impact factor: 1.588

3.  A unified mixed-model method for association mapping that accounts for multiple levels of relatedness.

Authors:  Jianming Yu; Gael Pressoir; William H Briggs; Irie Vroh Bi; Masanori Yamasaki; John F Doebley; Michael D McMullen; Brandon S Gaut; Dahlia M Nielsen; James B Holland; Stephen Kresovich; Edward S Buckler
Journal:  Nat Genet       Date:  2005-12-25       Impact factor: 38.330

4.  GenABEL: an R library for genome-wide association analysis.

Authors:  Yurii S Aulchenko; Stephan Ripke; Aaron Isaacs; Cornelia M van Duijn
Journal:  Bioinformatics       Date:  2007-03-23       Impact factor: 6.937

5.  Computing heritability and selection response from unbalanced plant breeding trials.

Authors:  Hans-Peter Piepho; Jens Möhring
Journal:  Genetics       Date:  2007-11       Impact factor: 4.562

6.  TASSEL: software for association mapping of complex traits in diverse samples.

Authors:  Peter J Bradbury; Zhiwu Zhang; Dallas E Kroon; Terry M Casstevens; Yogesh Ramdoss; Edward S Buckler
Journal:  Bioinformatics       Date:  2007-06-22       Impact factor: 6.937

7.  Augmented p-rep designs.

Authors:  Emlyn Williams; Hans-Peter Piepho; David Whitaker
Journal:  Biom J       Date:  2010-11-25       Impact factor: 2.207

Review 8.  Hybrid breeding in autogamous cereals.

Authors:  Carl Friedrich Horst Longin; Jonathan Mühleisen; Hans Peter Maurer; Hongliang Zhang; Manje Gowda; Jochen Christoph Reif
Journal:  Theor Appl Genet       Date:  2012-08-24       Impact factor: 5.699

9.  Bias and Sampling Error of the Estimated Proportion of Genotypic Variance Explained by Quantitative Trait Loci Determined From Experimental Data in Maize Using Cross Validation and Validation With Independent Samples.

Authors: 
Journal:  Genetics       Date:  2000-04       Impact factor: 4.562

10.  Shrinkage estimation of the realized relationship matrix.

Authors:  Jeffrey B Endelman; Jean-Luc Jannink
Journal:  G3 (Bethesda)       Date:  2012-11-01       Impact factor: 3.154

View more
  3 in total

Review 1.  Hybrid wheat: past, present and future.

Authors:  Pushpendra Kumar Gupta; Harindra Singh Balyan; Vijay Gahlaut; Gautam Saripalli; Bijendra Pal; Bhoja Raj Basnet; Arun Kumar Joshi
Journal:  Theor Appl Genet       Date:  2019-07-18       Impact factor: 5.699

2.  Hybrid Seed Set in Relation with Male Floral Traits, Estimation of Heterosis and Combining Abilities for Yield and Its Components in Wheat (Triticum aestivum L.).

Authors:  Samira El Hanafi; Souad Cherkaoui; Zakaria Kehel; Miguel Sanchez-Garcia; Jean-Benoit Sarazin; Stephen Baenziger; Wuletaw Tadesse
Journal:  Plants (Basel)       Date:  2022-02-14

Review 3.  Hybrid wheat: quantitative genetic parameters and heterosis for quality and rheological traits as well as baking volume.

Authors:  Lea Schwarzwälder; Patrick Thorwarth; Yusheng Zhao; Jochen Christoph Reif; C Friedrich H Longin
Journal:  Theor Appl Genet       Date:  2022-02-03       Impact factor: 5.574

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.