| Title |
QTL mapping for some grain traits in bread wheat (Triticum aestivum L.)
|
|---|---|
| Published in |
Physiology and Molecular Biology of Plants, June 2018
|
| DOI | 10.1007/s12298-018-0552-1 |
| Pubmed ID | |
| Authors |
Supriya Kumari, Vandana Jaiswal, Vinod Kumar Mishra, Rajneesh Paliwal, Harindra Singh Balyan, Pushpendra Kumar Gupta |
| Abstract |
Grain traits are important agronomic attributes with the market value as well as milling yield of bread wheat. In the present study, quantitative trait loci (QTL) regulating grain traits in wheat were identified. Data for grain area size (GAS), grain width (GWid), factor form density (FFD), grain length-width ratio (GLWR), thousand grain weight (TGW), grain perimeter length (GPL) and grain length (GL) were recorded on a recombinant inbred line derived from the cross of NW1014 × HUW468 at Meerut and Varanasi locations. A linkage map of 55 simple sequence repeat markers for 8 wheat chromosomes was used for QTL analysis by Composite interval mapping. Eighteen QTLs distributed on 8 chromosomes were identified for seven grain traits. Of these, five QTLs for GLWR were found on chromosomes 1A, 6A, 2B, and 7B, three QTLs for GPL were located on chromosomes 4A, 5A and 7B and three QTLs for GAS were mapped on 5D and 7D. Two QTLs were identified on chromosomes 4A and 5A for GL and two QTLs for GWid were identified on chromosomes 7D and 6A. Similarly, two QTLs for FFD were found on chromosomes 1A and 5D. A solitary QTL for TGW was identified on chromosome 2B. For several traits, QTLs were also co-localized on chromosomes 2B, 4A, 5A, 6A, 5D, 7B and 7D. The QTLs detected in the present study may be validated for specific crosses and then used for marker-assisted selection to improve grain quality in bread wheat. |
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| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
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| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Student > Doctoral Student | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 1 | 3% |
| Professor | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 19 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 13 | 36% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Arts and Humanities | 1 | 3% |
| Sports and Recreations | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 August 2018.
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#17,989,170
of 23,102,082 outputs
Outputs from Physiology and Molecular Biology of Plants
#210
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#238,787
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Outputs of similar age from Physiology and Molecular Biology of Plants
#3
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