000 | nab a22 7a 4500 | ||
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999 |
_c60207 _d60199 |
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001 | 60207 | ||
003 | MX-TxCIM | ||
005 | 20210505163933.0 | ||
008 | 190226s2019 xxk|||p|op||||00| 0 eng d | ||
022 | _a0168-9452 | ||
024 | 4 | _2https://doi.org/10.1016/j.plantsci.2018.06.008 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_98506 _aDreccer, M.F. |
|
245 | 1 |
_aYielding to the image : _bhow phenotyping reproductive growth can assist crop improvement and production |
|
260 |
_aUnited Kingdom : _bElsevier, _c2019. |
||
500 | _aPeer review | ||
520 | _aReproductive organs are the main reason we grow and harvest most plant species as crops, yet they receive less attention from phenotyping due to their complexity and inaccessibility for analysis. This review highlights recent progress towards the quantitative high-throughput phenotyping of reproductive development, focusing on three impactful areas that are pivotal for plant breeding and crop production. First, we look at phenotyping phenology, summarizing the indirect and direct approaches that are available. This is essential for analysis of genotype by environment, and to enable effective management interpretation and agronomy and physiological interventions. Second, we look at pollen development and production, in addition to anther characteristics, these are critical points of vulnerability for yield loss when stress occurs before and during flowering, and are of particular interest for hybrid technology development. Third, we elaborate on phenotyping yield components, indirectly or directly during the season, with a numerical or growth related approach and post-harvest processing. Finally, we summarise the opportunities and challenges ahead for phenotyping reproductive growth and their feasibility and impact, with emphasis on plant breeding applications and targeted yield increases. | ||
526 |
_aWC _cFP2 |
||
546 | _aText in English | ||
650 | 7 |
_2AGROVOC _93634 _aPhenotypes |
|
650 | 7 |
_2AGROVOC _91312 _aYield components |
|
650 | 7 |
_91059 _aCrop improvement _2AGROVOC |
|
700 | 1 |
_9899 _aMolero, G. _gFormerly Global Wheat Program _8INT3193 |
|
700 | 1 |
_91903 _aRivera Amado, A.C. _8N1313814 _gGlobal Wheat Program |
|
700 | 0 |
_98507 _aCarus John-Bejai |
|
700 | 0 |
_98508 _aWilson Zoe |
|
773 | 0 |
_gv. 282, p. 73-82 _tPlant Science _wu444702 _x0168-9452 _dUnited Kingdom : Elsevier, 2019. |
|
942 |
_2ddc _cJA _n0 |