Analysis of a Multi-Environment Trial for Black Raspberry (

Chromosome Mapping Genetic Linkage Plant Breeding Quantitative Trait Loci Rubus / genetics
QTL-by-environment interaction genotype-by-environment interaction high-throughput genotyping mixed model analysis pomological traits

Journal

Genes
ISSN: 2073-4425
Titre abrégé: Genes (Basel)
Pays: Switzerland
ID NLM: 101551097

Informations de publication

Date de publication:
25 02 2022
Historique:
received: 12 01 2022
revised: 21 02 2022
accepted: 24 02 2022
entrez: 25 3 2022
pubmed: 26 3 2022
medline: 28 4 2022
Statut: epublish

Résumé

U.S. black raspberry (BR) production is currently limited by narrowly adapted, elite germplasm. An improved understanding of genetic control and the stability of pomological traits will inform the development of improved BR germplasm and cultivars. To this end, the analysis of a multiple-environment trial of a BR mapping population derived from a cross that combines wild ancestors introgressed with commercial cultivars on both sides of its pedigree has provided insights into genetic variation, genotype-by-environment interactions, quantitative trait loci (QTL), and QTL-by-environment interactions (QEI) of fruit quality traits among diverse field environments. The genetic components and stability of four fruit size traits and six fruit biochemistry traits were characterized in this mapping population following their evaluation over three years at four distinct locations representative of current U.S. BR production. This revealed relatively stable genetic control of the four fruit size traits across the tested production environments and less stable genetic control of the fruit biochemistry traits. Of the fifteen total QTL, eleven exhibited significant QEI. Closely overlapping QTL revealed the linkage of several fruit size traits: fruit mass, drupelet count, and seed fraction. These and related findings are expected to guide further genetic characterization of BR fruit quality, management of breeding germplasm, and development of improved BR cultivars for U.S. production.

Identifiants

DOI: 10.3390/genes13030418 PMID: 35327972 PMC: PMC8950803
pubmed: 35327972
pii: genes13030418
doi: 10.3390/genes13030418
pmc: PMC8950803
pii:
doi:

Types de publication

Journal Article Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Références

J Berry Res. 2016;6(2):251-261
pubmed: 27594930
Mol Nutr Food Res. 2009 May;53(5):625-34
pubmed: 19156716
Plant Physiol. 2018 Jul;177(3):1234-1253
pubmed: 29853599
Theor Appl Genet. 2011 Sep;123(5):755-78
pubmed: 21667037
Bioinformatics. 2003 May 1;19(7):889-90
pubmed: 12724300
Bioinformatics. 2014 Aug 1;30(15):2114-20
pubmed: 24695404
J Agric Food Chem. 2008 Aug 13;56(15):6648-55
pubmed: 18598047
Obes Rev. 2016 Jul;17(7):573-86
pubmed: 27079631
Genet Res (Camb). 2011 Oct;93(5):343-9
pubmed: 21878144
Bioinformatics. 2011 Aug 1;27(15):2156-8
pubmed: 21653522
Gigascience. 2018 Aug 1;7(8):
pubmed: 30107523
Food Nutr Res. 2017 Aug 13;61(1):1361779
pubmed: 28970777
J Dairy Sci. 2008 Nov;91(11):4414-23
pubmed: 18946147
Theor Appl Genet. 2015 Aug;128(8):1631-46
pubmed: 26037086
Nat Genet. 2011 Feb;43(2):109-16
pubmed: 21186353
PLoS One. 2011 May 04;6(5):e19379
pubmed: 21573248
Heredity (Edinb). 2005 Sep;95(3):221-7
pubmed: 16077740
Mol Breed. 2013;32:311-326
pubmed: 23976873
Genetics. 2007 Nov;177(3):1801-13
pubmed: 17947443
J Agric Food Chem. 2014 Feb 26;62(8):1989-98
pubmed: 24520932
Phytochemistry. 2018 Sep;153:11-27
pubmed: 29803860
Science. 2000 Jul 7;289(5476):85-8
pubmed: 10884229
Plant Cell. 2010 Apr;22(4):1057-73
pubmed: 20400678
PLoS One. 2014 Feb 28;9(2):e90346
pubmed: 24587335
PLoS One. 2014 Feb 05;9(2):e88292
pubmed: 24505466
Theor Appl Genet. 2002 Jul;105(1):145-159
pubmed: 12582572
Front Plant Sci. 2020 Mar 20;11:304
pubmed: 32265957
J Exp Bot. 2013 Apr;64(6):1451-69
pubmed: 23408829
Bioinformatics. 2012 Aug 1;28(15):2086-7
pubmed: 22689388
Hortic Res. 2019 Jan 1;6:6
pubmed: 30603092
Trends Plant Sci. 2008 Mar;13(3):99-102
pubmed: 18280199
Plant Physiol. 2008 Apr;146(4):1528-39
pubmed: 18258692
New Phytol. 2010 Jul;187(1):44-56
pubmed: 20456053
J Sci Food Agric. 2016 Jan 30;96(2):365-71
pubmed: 25872898
Biofactors. 2005;23(4):213-20
pubmed: 16498208
Food Chem. 2014 Oct 1;160:233-40
pubmed: 24799233
Nutrition. 2015 Nov-Dec;31(11-12):1301-6
pubmed: 26250485
Nat Genet. 2010 Jul;42(7):565-9
pubmed: 20562875
J Hered. 2002 Jan-Feb;93(1):77-8
pubmed: 12011185

Auteurs

Matthew R Willman (MR)

Department of Horticulture and Crop Science, The Ohio State University, Wooster, OH 44691, USA.

Jill M Bushakra (JM)

National Clonal Germplasm Repository, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Corvallis, OR 97333, USA.

Nahla Bassil (N)

National Clonal Germplasm Repository, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Corvallis, OR 97333, USA.
ORCID: 0000-0001-8625-2740

Chad E Finn (CE)

Horticultural Crops Research Unit, United States Department of Agriculture-Agricultural Research Service (USDA-ARS), Corvallis, OR 97333, USA.

Michael Dossett (M)

BC Berry Cultivar Development Inc., Abbotsford, BC V2T 1W5, Canada.

Penelope Perkins-Veazie (P)

Department of Horticultural Science, North Carolina State University, Raleigh, NC 27695, USA.

Christine M Bradish (CM)

Department of Horticultural Science, North Carolina State University, Raleigh, NC 27695, USA.

Gina E Fernandez (GE)

Department of Horticultural Science, North Carolina State University, Raleigh, NC 27695, USA.

Courtney A Weber (CA)

Cornell AgriTech, New York State Agricultural Experiment Station, Geneva, NY 14456, USA.

Joseph C Scheerens (JC)

Department of Horticulture and Crop Science, The Ohio State University, Wooster, OH 44691, USA.

Lisa Dunlap (L)

Department of Horticulture and Crop Science, The Ohio State University, Wooster, OH 44691, USA.

Jonathan Fresnedo-Ramírez (J)

Department of Horticulture and Crop Science, The Ohio State University, Wooster, OH 44691, USA.
ORCID: 0000-0003-1985-2513

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Classifications MeSH

Recherchemedicale.com › Techniques d'investigation › Techniques génétiques › Cartographie chromosomique › Analysis of a Multi-Environment Trial for...
Recherchemedicale.com › Phénomènes génétiques › Liaison génétique › Analysis of a Multi-Environment Trial for...
Recherchemedicale.com › Technologie, industrie et agriculture › Agriculture › Production végétale › Amélioration des plantes › Analysis of a Multi-Environment Trial for...
Recherchemedicale.com › Phénomènes génétiques › Structures génétiques › Génome › Composants de génome › Locus génétiques › Locus de caractère quantitatif › Analysis of a Multi-Environment Trial for...
Recherchemedicale.com › Eucaryotes › Viridiplantae › Streptophyta › Embryophyta › Tracheobionta › Magnoliopsida › Rosanae › Rosales › Rosaceae › Rubus › Analysis of a Multi-Environment Trial for...