Literature DB >> 24374468

Improving the analysis of low heritability complex traits for enhanced genetic gain in potato.

Anthony T Slater1, Graeme M Wilson, Noel O I Cogan, John W Forster, Benjamin J Hayes.   

Abstract

KEY MESSAGE: Best linear unbiased prediction (BLUP), which uses pedigree to estimate breeding values, can result in increased genetic gains for low heritability traits in autotetraploid potato. Conventional potato breeding strategies, based on outcrossing followed by phenotypic recurrent selection over a number of generations, can result in slow but steady improvements of traits with moderate to high heritability. However, faster gains, particularly for low heritability traits, could be made by selection on estimated breeding values (EBVs) calculated using more complete pedigree information in best linear unbiased prediction (BLUP) analysis. One complication in applying BLUP predictions of breeding value to potato breeding programs is the autotetraploid inheritance pattern of this species. Here we have used a large pedigree, dating back to 1908, to estimate heritability for nine key traits for potato breeding, modelling autotetraploid inheritance. We estimate the proportion of double reduction in potatoes from our data, and across traits, to be in the order of 10 %. Estimates of heritability ranged from 0.21 for breeder's visual preference, 0.58 for tuber yield, to 0.83 for plant maturity. Using the accuracies of the EBVs determined by cross generational validation, we model the genetic gain that could be achieved by selection of genotypes for breeding on BLUP EBVs and demonstrate that gains can be greater than in conventional schemes.

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Year:  2013        PMID: 24374468     DOI: 10.1007/s00122-013-2258-7

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


  9 in total

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Journal:  Theor Appl Genet       Date:  2003-03-21       Impact factor: 5.699

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Authors:  Richard J Kerr; Li Li; Bruce Tier; Gregory W Dutkowski; Thomas A McRae
Journal:  Theor Appl Genet       Date:  2012-02-05       Impact factor: 5.699

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Journal:  Genetics       Date:  2006-01-16       Impact factor: 4.562

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Authors:  G L STEBBINS
Journal:  Adv Genet       Date:  1947       Impact factor: 1.944

6.  Genetic change in milk yield estimated from simultaneous genetic evaluation of bulls and cows.

Authors:  L D Van Vleck; R A Westell; J C Schneider
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Review 7.  Livestock production: recent trends, future prospects.

Authors:  Philip K Thornton
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-09-27       Impact factor: 6.237

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Authors:  J Brown; P D Caligari; M F Dale; G E Swan; G R Mackay
Journal:  Theor Appl Genet       Date:  1988-07       Impact factor: 5.699

9.  Understanding and using quantitative genetic variation.

Authors:  William G Hill
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-01-12       Impact factor: 6.237

  9 in total
  9 in total

1.  Genetic Variance Partitioning and Genome-Wide Prediction with Allele Dosage Information in Autotetraploid Potato.

Authors:  Jeffrey B Endelman; Cari A Schmitz Carley; Paul C Bethke; Joseph J Coombs; Mark E Clough; Washington L da Silva; Walter S De Jong; David S Douches; Curtis M Frederick; Kathleen G Haynes; David G Holm; J Creighton Miller; Patricio R Muñoz; Felix M Navarro; Richard G Novy; Jiwan P Palta; Gregory A Porter; Kyle T Rak; Vidyasagar R Sathuvalli; Asunta L Thompson; G Craig Yencho
Journal:  Genetics       Date:  2018-03-07       Impact factor: 4.562

Review 2.  Improving breeding efficiency in potato using molecular and quantitative genetics.

Authors:  Anthony T Slater; Noel O I Cogan; Benjamin J Hayes; Lee Schultz; M Finlay B Dale; Glenn J Bryan; John W Forster
Journal:  Theor Appl Genet       Date:  2014-09-04       Impact factor: 5.699

3.  Computation of the inverse additive relationship matrix for autopolyploid and multiple-ploidy populations.

Authors:  Matthew G Hamilton; Richard J Kerr
Journal:  Theor Appl Genet       Date:  2017-12-19       Impact factor: 5.699

4.  Genomic prediction of starch content and chipping quality in tetraploid potato using genotyping-by-sequencing.

Authors:  Elsa Sverrisdóttir; Stephen Byrne; Ea Høegh Riis Sundmark; Heidi Øllegaard Johnsen; Hanne Grethe Kirk; Torben Asp; Luc Janss; Kåre L Nielsen
Journal:  Theor Appl Genet       Date:  2017-07-13       Impact factor: 5.699

5.  Prospects and Potential Uses of Genomic Prediction of Key Performance Traits in Tetraploid Potato.

Authors:  Benjamin Stich; Delphine Van Inghelandt
Journal:  Front Plant Sci       Date:  2018-03-07       Impact factor: 5.753

Review 6.  Germplasm, Breeding, and Genomics in Potato Improvement of Biotic and Abiotic Stresses Tolerance.

Authors:  Jagesh Kumar Tiwari; Tanuja Buckseth; Rasna Zinta; Nisha Bhatia; Dalamu Dalamu; Sharmistha Naik; Anuj K Poonia; Hemant B Kardile; Clarissa Challam; Rajesh K Singh; Satish K Luthra; Vinod Kumar; Manoj Kumar
Journal:  Front Plant Sci       Date:  2022-02-07       Impact factor: 5.753

7.  Genomic regions associated with tuber traits in tetraploid potatoes and identification of superior clones for breeding purposes.

Authors:  Jeewan Pandey; Douglas C Scheuring; Jeffrey W Koym; M Isabel Vales
Journal:  Front Plant Sci       Date:  2022-07-22       Impact factor: 6.627

Review 8.  Tools for Genetic Studies in Experimental Populations of Polyploids.

Authors:  Peter M Bourke; Roeland E Voorrips; Richard G F Visser; Chris Maliepaard
Journal:  Front Plant Sci       Date:  2018-04-18       Impact factor: 5.753

9.  Phenotypic Selection in Ornamental Breeding: It's Better to Have the BLUPs Than to Have the BLUEs.

Authors:  Heike Molenaar; Robert Boehm; Hans-Peter Piepho
Journal:  Front Plant Sci       Date:  2018-11-05       Impact factor: 5.753

  9 in total

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