| 000 | 03373nab|a22005297a|4500 | ||
|---|---|---|---|
| 001 | 68686 | ||
| 003 | MX-TxCIM | ||
| 005 | 20251223163848.0 | ||
| 008 | 20252s2025||||mx |||p|op||||00||0|eng|d | ||
| 022 | _a2045-2322 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1038/s41598-025-91199-2 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aBashir, L. _938507 |
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| 245 | 1 | 0 | _aIdentification of quantitative trait nucleotides for grain quality in bread wheat under heat stress |
| 260 |
_aLondon (United Kingdom) : _bNature Publishing Group, _c2025. |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aHeat stress is a critical factor affecting global wheat production and productivity. In this study, out of 500 studied germplasm lines, a diverse panel of 126 wheat genotypes grown under twelve distinct environmental conditions was analyzed. Using 35 K single-nucleotide polymorphism (SNP) genotyping assays and trait data on five biochemical parameters, including grain protein content (GPC), grain amylose content (GAC), grain total soluble sugars (TSS), grain iron (Fe), and zinc (Zn) content, six multi-locus GWAS (ML-GWAS) models were employed for association analysis. This revealed 67 stable quantitative trait nucleotides (QTNs) linked to grain quality parameters, explaining phenotypic variations ranging from 3 to 44.5% under heat stress conditions. By considering the results in consensus to at least three GWAS models and three locations, the final QTNs were reduced to 16, with 12 being novel findings. Notably, two novel markers, AX-94461119 (chromosome 2A) and AX-95220192 (chromosome 7D), associated with grain Fe and Zn, respectively, were validated through Kompetitive Allele Specific Polymerase Chain Reaction (KASP) approach. Candidate genes, including the P-loop-containing nucleoside triphosphate hydrolases (NTPases), Bowman-Birk type proteinase inhibitors (BBI), and the NPSN13 protein, were identified within associated genomic regions. These genes could serve as potential targets for enhancing quality traits and heat tolerance in future wheat improvement programs. | ||
| 546 | _aText in English | ||
| 597 |
_dIndian Council of Agricultural Research (ICAR) _fBreeding for Tomorrow _uhttps://hdl.handle.net/10568/179132 |
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| 650 | 7 |
_aHeat stress _2AGROVOC _91971 |
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| 650 | 7 |
_aWheat _2AGROVOC _91310 |
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| 650 | 7 |
_aGenome-wide association studies _2AGROVOC _931443 |
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| 650 | 7 |
_aGrain _2AGROVOC _91138 |
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| 650 | 7 |
_aQuality _2AGROVOC _91231 |
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| 700 | 0 |
_aNeeraj Budhlakoti _98360 |
|
| 700 | 1 |
_aPradhan, A.K. _916709 |
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| 700 | 1 |
_aSharma, D. _938508 |
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| 700 | 1 |
_aJain, A. _938509 |
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| 700 | 0 |
_aSaman Saim Rehman _938510 |
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| 700 | 1 |
_aKondal, V. _938511 |
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| 700 | 1 |
_aJacob, S.R. _929516 |
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| 700 | 1 |
_aBhardwaj, R. _938512 |
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| 700 | 1 |
_aGaikwad, K. _938513 |
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| 700 | 0 |
_aDwijesh Chandra Mishra _98361 |
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| 700 | 1 |
_aPandey. A. _938514 |
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| 700 | 1 |
_aKaur, S. _924391 |
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| 700 | 1 |
_aBhati, P. K. _8001710151 _gBorlaug Institute for South Asia _926310 |
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| 700 | 1 |
_aSingh, R. _925028 |
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| 700 | 1 |
_aSingh, G.P. _918282 |
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| 700 | 1 |
_aKumar, S. _92207 |
|
| 773 | 0 |
_tScientific Reports _gv. 15, no. 1, art. 6641 _dLondon (United Kingdom) : Nature Publishing Group, 2025. _x2045-2322 _wa58025 |
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| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/35539 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c68686 _d68678 |
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