Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in Kazakhstan
High grain quality is a key target in wheat breeding and is influenced by genetic and environmental factors. This study evaluated 94 recombinant inbred lines (RILs) from a Pamyati Azieva × Paragon (PA × P) mapping population grown in two regions in Kazakhstan to assess the genetic basis of six grain...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Plants |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2223-7747/14/11/1728 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850128743906934784 |
|---|---|
| author | Akerke Amalova Simon Griffiths Aigul Abugalieva Saule Abugalieva Yerlan Turuspekov |
| author_facet | Akerke Amalova Simon Griffiths Aigul Abugalieva Saule Abugalieva Yerlan Turuspekov |
| author_sort | Akerke Amalova |
| collection | DOAJ |
| description | High grain quality is a key target in wheat breeding and is influenced by genetic and environmental factors. This study evaluated 94 recombinant inbred lines (RILs) from a Pamyati Azieva × Paragon (PA × P) mapping population grown in two regions in Kazakhstan to assess the genetic basis of six grain quality traits: the test weight per liter (TWL, g/L), grain protein content (GPC, %), gluten content (GC, %), gluten deformation index in flour (GDI, unit), sedimentation value in a 2% acetic acid solution (SV, mL), and grain starch content (GSC, %). A correlation analysis revealed a trade-off between protein and starch accumulation and an inverse relationship between grain quality and yield components. Additionally, GPC exhibited a negative correlation with yield per square meter (YM2), underscoring the challenge of simultaneously improving grain quality and yield. With the use of the QTL Cartographer statistical package, 71 quantitative trait loci (QTLs) were identified for the six grain quality traits, including 20 QTLs showing stability across multiple environments. Notable stable QTLs were detected for GPC on chromosomes 4A, 5B, 6A, and 7B and for GC on chromosomes 1D and 6A, highlighting their potential for marker-assisted selection (MAS). A major QTL found on chromosome 1D (<i>QGDI-PA × P.ipbb-1D.1</i>, LOD 19.4) showed a strong association with gluten deformation index, emphasizing its importance in improving flour quality. A survey of published studies on QTL identification in common wheat suggested the likely novelty of 12 QTLs identified for GDI (five QTLs), TWL (three QTLs), SV, and GSC (two QTLs each). These findings underscore the need for balanced breeding strategies that optimize grain composition while maintaining high productivity. With the use of SNP markers associated with the identified QTLs for grain quality traits, the MAS approach can be implemented in wheat breeding programs. |
| format | Article |
| id | doaj-art-a14002ed56364ebcb24423a7c8a20938 |
| institution | OA Journals |
| issn | 2223-7747 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj-art-a14002ed56364ebcb24423a7c8a209382025-08-20T02:33:11ZengMDPI AGPlants2223-77472025-06-011411172810.3390/plants14111728Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in KazakhstanAkerke Amalova0Simon Griffiths1Aigul Abugalieva2Saule Abugalieva3Yerlan Turuspekov4Institute of Plant Biology and Biotechnology, Almaty 050040, KazakhstanJohn Innes Centre, Norwich NR4 7UH, UKKazakh Research Institute of Agriculture and Plant Growing, Almaty Region, Almalybak 040909, KazakhstanInstitute of Plant Biology and Biotechnology, Almaty 050040, KazakhstanInstitute of Plant Biology and Biotechnology, Almaty 050040, KazakhstanHigh grain quality is a key target in wheat breeding and is influenced by genetic and environmental factors. This study evaluated 94 recombinant inbred lines (RILs) from a Pamyati Azieva × Paragon (PA × P) mapping population grown in two regions in Kazakhstan to assess the genetic basis of six grain quality traits: the test weight per liter (TWL, g/L), grain protein content (GPC, %), gluten content (GC, %), gluten deformation index in flour (GDI, unit), sedimentation value in a 2% acetic acid solution (SV, mL), and grain starch content (GSC, %). A correlation analysis revealed a trade-off between protein and starch accumulation and an inverse relationship between grain quality and yield components. Additionally, GPC exhibited a negative correlation with yield per square meter (YM2), underscoring the challenge of simultaneously improving grain quality and yield. With the use of the QTL Cartographer statistical package, 71 quantitative trait loci (QTLs) were identified for the six grain quality traits, including 20 QTLs showing stability across multiple environments. Notable stable QTLs were detected for GPC on chromosomes 4A, 5B, 6A, and 7B and for GC on chromosomes 1D and 6A, highlighting their potential for marker-assisted selection (MAS). A major QTL found on chromosome 1D (<i>QGDI-PA × P.ipbb-1D.1</i>, LOD 19.4) showed a strong association with gluten deformation index, emphasizing its importance in improving flour quality. A survey of published studies on QTL identification in common wheat suggested the likely novelty of 12 QTLs identified for GDI (five QTLs), TWL (three QTLs), SV, and GSC (two QTLs each). These findings underscore the need for balanced breeding strategies that optimize grain composition while maintaining high productivity. With the use of SNP markers associated with the identified QTLs for grain quality traits, the MAS approach can be implemented in wheat breeding programs.https://www.mdpi.com/2223-7747/14/11/1728<i>Triticum aestivum</i> L.quantitative trait locimapping populationrecombinant inbred linesgrain quality traits |
| spellingShingle | Akerke Amalova Simon Griffiths Aigul Abugalieva Saule Abugalieva Yerlan Turuspekov Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in Kazakhstan Plants <i>Triticum aestivum</i> L. quantitative trait loci mapping population recombinant inbred lines grain quality traits |
| title | Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in Kazakhstan |
| title_full | Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in Kazakhstan |
| title_fullStr | Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in Kazakhstan |
| title_full_unstemmed | Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in Kazakhstan |
| title_short | Identification of Quantitative Trait Loci for Grain Quality Traits in a Pamyati Azieva × Paragon Bread Wheat Mapping Population Grown in Kazakhstan |
| title_sort | identification of quantitative trait loci for grain quality traits in a pamyati azieva paragon bread wheat mapping population grown in kazakhstan |
| topic | <i>Triticum aestivum</i> L. quantitative trait loci mapping population recombinant inbred lines grain quality traits |
| url | https://www.mdpi.com/2223-7747/14/11/1728 |
| work_keys_str_mv | AT akerkeamalova identificationofquantitativetraitlociforgrainqualitytraitsinapamyatiazievaparagonbreadwheatmappingpopulationgrowninkazakhstan AT simongriffiths identificationofquantitativetraitlociforgrainqualitytraitsinapamyatiazievaparagonbreadwheatmappingpopulationgrowninkazakhstan AT aigulabugalieva identificationofquantitativetraitlociforgrainqualitytraitsinapamyatiazievaparagonbreadwheatmappingpopulationgrowninkazakhstan AT sauleabugalieva identificationofquantitativetraitlociforgrainqualitytraitsinapamyatiazievaparagonbreadwheatmappingpopulationgrowninkazakhstan AT yerlanturuspekov identificationofquantitativetraitlociforgrainqualitytraitsinapamyatiazievaparagonbreadwheatmappingpopulationgrowninkazakhstan |