Mapping QTL for agronomic traits on wheat chromosome 3A and a comparison of recombinant inbred chromosome line populations

M. Liakat Ali, P. Stephen Baenziger, Zakaria Al Ajlouni, B. Todd Campbell, K. S. Gill, K. M. Eskridge, A. Mujeeb-Kazi, Ismail Dweikat

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

Variation for wheat (Triticum aestivum L.) grain yield and agronomic traits was used to map quantitative trait loci (QTL) in a 'Cheyenne' (CNN) × [CNN ('Wichita' 3A)] recombinant inbred chromosome line (RICL) population consisting of 223 CNN(RICLs3A) and 7 check cultivars that were evaluated in six environments in Nebraska during 2005-2007. A chromosome 3A linkage map spanning 106 cM was constructed using 32 microsatellite markers. Composite interval mapping detected 19 QTL for seven agronomic traits that individually accounted for 4.6 to 16.8% of the phenotypic variation. Three small genomic segments, spanning 3.4, 5.3, and 5.3 cM, contained most of the QTL. Two yield QTL were detected in two environments and in data pooled over environments. For grain volume weight, a QTL was detected in five of the six environments while a plant height QTL was detected in all environments. Wichita (WI) alleles contributed to the increased trait values for yield, spikes per square meter, and grain volume weight, while CNN contributed alleles to the increased 1000-kernel weight, plant height, and anthesis date. Both CNN and WI contained alleles for increased number of kernels per spike. The 223 CNN(RICLs3A) set had greater power to detect QTL than the two smaller subsets-128 CNN(RICLs3A) developed using doubled haploids and 95 CNN(RICLs3A) developed using recombinant monosomic lines. Neither of the subsets performed consistently better than the other in detecting QTL.

Original languageEnglish (US)
Pages (from-to)553-566
Number of pages14
JournalCrop Science
Volume51
Issue number2
DOIs
StatePublished - Mar 1 2011

Fingerprint

agronomic traits
quantitative trait loci
chromosomes
wheat
alleles
inflorescences
monosomics
doubled haploids
seeds
phenotypic variation
chromosome mapping
Triticum aestivum
grain yield
microsatellite repeats
flowering
genomics
cultivars

ASJC Scopus subject areas

  • Agronomy and Crop Science

Cite this

Liakat Ali, M., Stephen Baenziger, P., Al Ajlouni, Z., Todd Campbell, B., Gill, K. S., Eskridge, K. M., ... Dweikat, I. (2011). Mapping QTL for agronomic traits on wheat chromosome 3A and a comparison of recombinant inbred chromosome line populations. Crop Science, 51(2), 553-566. https://doi.org/10.2135/cropsci2010.06.0359

Mapping QTL for agronomic traits on wheat chromosome 3A and a comparison of recombinant inbred chromosome line populations. / Liakat Ali, M.; Stephen Baenziger, P.; Al Ajlouni, Zakaria; Todd Campbell, B.; Gill, K. S.; Eskridge, K. M.; Mujeeb-Kazi, A.; Dweikat, Ismail.

In: Crop Science, Vol. 51, No. 2, 01.03.2011, p. 553-566.

Research output: Contribution to journalArticle

Liakat Ali, M, Stephen Baenziger, P, Al Ajlouni, Z, Todd Campbell, B, Gill, KS, Eskridge, KM, Mujeeb-Kazi, A & Dweikat, I 2011, 'Mapping QTL for agronomic traits on wheat chromosome 3A and a comparison of recombinant inbred chromosome line populations', Crop Science, vol. 51, no. 2, pp. 553-566. https://doi.org/10.2135/cropsci2010.06.0359
Liakat Ali, M. ; Stephen Baenziger, P. ; Al Ajlouni, Zakaria ; Todd Campbell, B. ; Gill, K. S. ; Eskridge, K. M. ; Mujeeb-Kazi, A. ; Dweikat, Ismail. / Mapping QTL for agronomic traits on wheat chromosome 3A and a comparison of recombinant inbred chromosome line populations. In: Crop Science. 2011 ; Vol. 51, No. 2. pp. 553-566.
@article{5f1e0810456a416d8ae5e2bc8a1c4f47,
title = "Mapping QTL for agronomic traits on wheat chromosome 3A and a comparison of recombinant inbred chromosome line populations",
abstract = "Variation for wheat (Triticum aestivum L.) grain yield and agronomic traits was used to map quantitative trait loci (QTL) in a 'Cheyenne' (CNN) × [CNN ('Wichita' 3A)] recombinant inbred chromosome line (RICL) population consisting of 223 CNN(RICLs3A) and 7 check cultivars that were evaluated in six environments in Nebraska during 2005-2007. A chromosome 3A linkage map spanning 106 cM was constructed using 32 microsatellite markers. Composite interval mapping detected 19 QTL for seven agronomic traits that individually accounted for 4.6 to 16.8{\%} of the phenotypic variation. Three small genomic segments, spanning 3.4, 5.3, and 5.3 cM, contained most of the QTL. Two yield QTL were detected in two environments and in data pooled over environments. For grain volume weight, a QTL was detected in five of the six environments while a plant height QTL was detected in all environments. Wichita (WI) alleles contributed to the increased trait values for yield, spikes per square meter, and grain volume weight, while CNN contributed alleles to the increased 1000-kernel weight, plant height, and anthesis date. Both CNN and WI contained alleles for increased number of kernels per spike. The 223 CNN(RICLs3A) set had greater power to detect QTL than the two smaller subsets-128 CNN(RICLs3A) developed using doubled haploids and 95 CNN(RICLs3A) developed using recombinant monosomic lines. Neither of the subsets performed consistently better than the other in detecting QTL.",
author = "{Liakat Ali}, M. and {Stephen Baenziger}, P. and {Al Ajlouni}, Zakaria and {Todd Campbell}, B. and Gill, {K. S.} and Eskridge, {K. M.} and A. Mujeeb-Kazi and Ismail Dweikat",
year = "2011",
month = "3",
day = "1",
doi = "10.2135/cropsci2010.06.0359",
language = "English (US)",
volume = "51",
pages = "553--566",
journal = "Crop Science",
issn = "0011-183X",
publisher = "Crop Science Society of America",
number = "2",

}

TY - JOUR

T1 - Mapping QTL for agronomic traits on wheat chromosome 3A and a comparison of recombinant inbred chromosome line populations

AU - Liakat Ali, M.

AU - Stephen Baenziger, P.

AU - Al Ajlouni, Zakaria

AU - Todd Campbell, B.

AU - Gill, K. S.

AU - Eskridge, K. M.

AU - Mujeeb-Kazi, A.

AU - Dweikat, Ismail

PY - 2011/3/1

Y1 - 2011/3/1

N2 - Variation for wheat (Triticum aestivum L.) grain yield and agronomic traits was used to map quantitative trait loci (QTL) in a 'Cheyenne' (CNN) × [CNN ('Wichita' 3A)] recombinant inbred chromosome line (RICL) population consisting of 223 CNN(RICLs3A) and 7 check cultivars that were evaluated in six environments in Nebraska during 2005-2007. A chromosome 3A linkage map spanning 106 cM was constructed using 32 microsatellite markers. Composite interval mapping detected 19 QTL for seven agronomic traits that individually accounted for 4.6 to 16.8% of the phenotypic variation. Three small genomic segments, spanning 3.4, 5.3, and 5.3 cM, contained most of the QTL. Two yield QTL were detected in two environments and in data pooled over environments. For grain volume weight, a QTL was detected in five of the six environments while a plant height QTL was detected in all environments. Wichita (WI) alleles contributed to the increased trait values for yield, spikes per square meter, and grain volume weight, while CNN contributed alleles to the increased 1000-kernel weight, plant height, and anthesis date. Both CNN and WI contained alleles for increased number of kernels per spike. The 223 CNN(RICLs3A) set had greater power to detect QTL than the two smaller subsets-128 CNN(RICLs3A) developed using doubled haploids and 95 CNN(RICLs3A) developed using recombinant monosomic lines. Neither of the subsets performed consistently better than the other in detecting QTL.

AB - Variation for wheat (Triticum aestivum L.) grain yield and agronomic traits was used to map quantitative trait loci (QTL) in a 'Cheyenne' (CNN) × [CNN ('Wichita' 3A)] recombinant inbred chromosome line (RICL) population consisting of 223 CNN(RICLs3A) and 7 check cultivars that were evaluated in six environments in Nebraska during 2005-2007. A chromosome 3A linkage map spanning 106 cM was constructed using 32 microsatellite markers. Composite interval mapping detected 19 QTL for seven agronomic traits that individually accounted for 4.6 to 16.8% of the phenotypic variation. Three small genomic segments, spanning 3.4, 5.3, and 5.3 cM, contained most of the QTL. Two yield QTL were detected in two environments and in data pooled over environments. For grain volume weight, a QTL was detected in five of the six environments while a plant height QTL was detected in all environments. Wichita (WI) alleles contributed to the increased trait values for yield, spikes per square meter, and grain volume weight, while CNN contributed alleles to the increased 1000-kernel weight, plant height, and anthesis date. Both CNN and WI contained alleles for increased number of kernels per spike. The 223 CNN(RICLs3A) set had greater power to detect QTL than the two smaller subsets-128 CNN(RICLs3A) developed using doubled haploids and 95 CNN(RICLs3A) developed using recombinant monosomic lines. Neither of the subsets performed consistently better than the other in detecting QTL.

UR - http://www.scopus.com/inward/record.url?scp=79952474516&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79952474516&partnerID=8YFLogxK

U2 - 10.2135/cropsci2010.06.0359

DO - 10.2135/cropsci2010.06.0359

M3 - Article

AN - SCOPUS:79952474516

VL - 51

SP - 553

EP - 566

JO - Crop Science

JF - Crop Science

SN - 0011-183X

IS - 2

ER -