| 000 | 02693naa a22003497a 4500 | ||
|---|---|---|---|
| 999 |
_c61306 _d61298 |
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| 001 | 61306 | ||
| 003 | MX-TxCIM | ||
| 005 | 20211006072258.0 | ||
| 008 | 200211s2019 sz ||||| |||| 00| 0 eng d | ||
| 020 | _a978-3-319-99572-4 | ||
| 020 | _a978-3-319-99573-1 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.1007/978-3-319-99573-1_3 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_8INT3332 _9922 _aSehgal, D. _gGlobal Wheat Program |
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| 245 | 1 | 0 | _aProgress towards identification and validation of candidate genes for abiotic stress tolerance in wheat |
| 260 |
_aCham (Switzerland) : _bSpringer, _c2019. |
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| 490 |
_aSustainable Development and Biodiversity ; _vv. 21 _x2352-474X _x2352-4758 (Online) |
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| 500 | _aReference only | ||
| 520 | _aIdentification of candidate gene(s) and its validation in a breeder’s germplasm is a prerequisite for any successful marker-assisted selection (MAS) programme for improving abiotic stress tolerance. Once a candidate gene(s) is identified and its effects validated under a stress environment, it becomes a powerful marker resource for developing ‘functional markers’ to assist genomics-assisted breeding in crops. There are several ways to identify a candidate gene(s) underpinning a specific abiotic stress tolerance mechanism. The most common methods used are various ‘omics’ approaches targeting transcriptome (transcriptomics), metabolome (metabolomics) or proteome (proteomics), co-location of genes with quantitative trait loci (QTLs) for abiotic stress tolerance traits (called positional candidates), fine mapping of QTLs/QTL cloning, transgenics, RNA interference, mutant screenings and genome wide/candidate gene-based association mapping among others. The advent of next generation sequencing (NGS) technologies has completely revolutionized the identification and characterization of candidate genes underlying various abiotic stress tolerance traits. This review focuses on the approaches taken to identify and validate candidate genes for various abiotic stress tolerances in wheat and the progress made so far in their validation and implementation in wheat breeding programs globally. | ||
| 526 |
_aWC _cFP2 |
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| 546 | _aText in English | ||
| 650 | 7 |
_2AGROVOC _93448 _aAbiotic stress |
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| 650 | 7 |
_2AGROVOC _93563 _aGenes |
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| 650 | 7 |
_2AGROVOC _95948 _aCloning |
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| 650 | 7 |
_2AGROVOC _91848 _aGenetic markers |
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| 650 | 7 |
_aWheat _gAGROVOC _2 _91310 |
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| 700 | 1 |
_911284 _aBaliyan, N. |
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| 700 | 1 |
_911285 _aKaur, P. |
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| 773 | 0 |
_dCham (Switzerland) : Springer, 2019. _gp. 31-48 _tGenomics Assisted Breeding of Crops for Abiotic Stress Tolerance, Vol. II _z978-3-319-99572-4 _z978-3-319-99573-1 (Online) |
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| 942 |
_2ddc _cBP _n0 |
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