| 000 | 02261nab|a22004097a|4500 | ||
|---|---|---|---|
| 001 | 66084 | ||
| 003 | MX-TxCIM | ||
| 005 | 20230301143301.0 | ||
| 008 | 20232s2023||||mx |||p|op||||00||0|eng|d | ||
| 022 | _a2223-7747 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.3390/plants12030426 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 100 | 1 |
_aSehgal, D. _8INT3332 _9922 _gGlobal Wheat Program |
|
| 245 | 1 | 0 |
_aWheat omics : _bAdvancements and opportunities |
| 260 |
_bMDPI, _c2023. _aBasel (Switzerland) : |
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| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aPlant omics, which includes genomics, transcriptomics, metabolomics and proteomics, has played a remarkable role in the discovery of new genes and biomolecules that can be deployed for crop improvement. In wheat, great insights have been gleaned from the utilization of diverse omics approaches for both qualitative and quantitative traits. Especially, a combination of omics approaches has led to significant advances in gene discovery and pathway investigations and in deciphering the essential components of stress responses and yields. Recently, a Wheat Omics database has been developed for wheat which could be used by scientists for further accelerating functional genomics studies. In this review, we have discussed various omics technologies and platforms that have been used in wheat to enhance the understanding of the stress biology of the crop and the molecular mechanisms underlying stress tolerance. | ||
| 546 | _aText in English | ||
| 591 | _aVikram, P. : No CIMMYT Affiliation | ||
| 650 | 7 |
_aGenomics _2AGROVOC _91132 |
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| 650 | 7 |
_aMetabolomics _2AGROVOC _930115 |
|
| 650 | 7 |
_aProteomics _2AGROVOC _918275 |
|
| 650 | 7 |
_aTranscriptomics _2AGROVOC _930116 |
|
| 650 | 7 |
_aWheat _2AGROVOC _91310 |
|
| 700 | 1 |
_aDhakate, P. _929282 |
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| 700 | 1 |
_aAmbreen, H. _930117 |
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| 700 | 1 |
_aShaik, K.H.B. _930118 |
|
| 700 | 1 |
_aRathan, N.D. _917206 |
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| 700 | 1 |
_aAnusha, N.M. _930119 |
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| 700 | 1 |
_aDeshmukh, R. _917929 |
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| 700 | 1 |
_aVikram, P. _8I1705725 _9785 _gGenetic Resources Program |
|
| 773 | 0 |
_tPlants _gv. 12, no. 3, art. 426 _dBasel (Switzerland) : MDPI, 2023 _x2223-7747 |
|
| 856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/22532 |
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| 942 |
_cJA _n0 _2ddc |
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| 999 |
_c66084 _d66076 |
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