000 | 03166nab|a22004217a|4500 | ||
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001 | 64705 | ||
003 | MX-TxCIM | ||
005 | 20240919021232.0 | ||
008 | 202111s2022||||xxu|||p|op||||00||0|eng|d | ||
022 | _a0011-183X | ||
022 | _a1435-0653 (Online) | ||
024 | 8 | _ahttps://doi.org/10.1002/csc2.20653 | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
100 | 1 |
_aSharma, R.K. _gFormerly Global Wheat Program _8INT3065 _9888 |
|
245 | 1 | 0 | _aPlant breeding increases spring wheat yield potential in Afghanistan |
260 |
_aUSA : _bCSSA : _bWiley, _c2022. |
||
500 | _aPeer review | ||
500 | _aOpen Access | ||
520 | _aWheat (Triticum aestivum L.) is an essential food security crop in Afghanistan. To determine the contribution of wheat breeding to increasing productivity, we analyzed data obtained from 192 trials conducted over 11 locations from 2002–2003 to 2015–2016. Using this data, we estimated annual genetic gains for grain yield, days to heading and plant height over the 14-yr period. We used best linear unbiased estimates to measure genetic gains across CIMMYT Elite Spring Wheat Yield Trials per se and for the top 5 and top 10% performing genotypes relative to checks. Mean realized genetic gain for grain yield was 115 kg ha–1 yr−1, whereas the top 10 genotypes achieved annual yield gains of 123 kg ha–1. The continually replaced local check. s also contributed an annual genetic gain for yield of 107 kg ha–1. The associated adaptive traits days to heading and plant height varied in their response over time with the top 10 yielding genotypes having a 1.82 d annual reduction in heading date while plant height increased by 0.77 cm yr−1 for the same set of genotypes. Results show that continual breeding improvements confer yield gains, contributing to increasing Afghan wheat productivity. This has wider relevance for demonstrating the value of continued investment in public sector plant breeding supporting wheat production and food security in Central Asia. | ||
546 | _aText in English | ||
650 | 7 |
_aPlant breeding _gAGROVOC _2 _91203 |
|
650 | 0 |
_2AGROVOC _91806 _aSpring wheat |
|
650 | 0 |
_aMaximum sustainable yield _gAGROVOC _910792 |
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651 | 7 |
_2AGROVOC _94106 _aAfghanistan |
|
700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
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700 | 1 |
_aAtaei, N. _910043 |
|
700 | 1 |
_aLodin, R. _925258 |
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700 | 1 |
_aJoshi, A.K. _gGlobal Wheat Program _9873 _8INT2917 |
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700 | 1 |
_aVargas-Hernández, M. _92281 |
|
700 | 1 |
_aBraun, H.J. _gFormerly Global Wheat Program _8INT0599 _9824 |
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700 | 1 |
_aSingh, R.P. _gGlobal Wheat Program _9825 _8INT0610 |
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700 | 1 |
_aBentley, A.R. _8001712492 _gFormerly Global Wheat Program _99599 |
|
773 | 0 |
_tCrop Science _dUSA : CSSA : Wiley, 2022. _x1435-0653 _gv. 62, no. 1, p. 167-177 _wG444244 |
|
856 | 4 |
_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/21768 |
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942 |
_cJA _n0 _2ddc |
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999 |
_c64705 _d64697 |