| 000 | 02436nab a22004337a 4500 | ||
|---|---|---|---|
| 001 | G78922 | ||
| 003 | MX-TxCIM | ||
| 005 | 20220616203649.0 | ||
| 008 | 220616s2003 cc |||p|op||| 00| 0 chi d | ||
| 022 | _a0496-3490 | ||
| 040 | _aMX-TxCIM | ||
| 041 | _achi | ||
| 072 | 0 | _aA50 | |
| 072 | 0 | _aF30 | |
| 090 | _aCIS-3930 | ||
| 100 | 0 |
_aYong Zhang _91857 |
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| 245 | 1 | 0 | _aGGE biplot for studying paste property of chinese spring wheat |
| 260 |
_aBeijing (China) : _bScience Press, _c2003. |
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| 340 | _aPrinted | ||
| 500 | _aAbstract in Chinese and Enlgish. | ||
| 500 | _aPeer-review: No - Open Access: Yes|http://211.155.251.148:8080/zwxb/EN/column/column81.shtml | ||
| 500 | _aPeer review | ||
| 500 | _aOpen Access | ||
| 520 | _aThis paper introduced a GGE biplot as a graphic method for analyzing wheat peak viscosity based on data from regional trials. The average performance at each environment was subtracted from the original pasting properties data first so that the derived data contains only genotype main effect G and genotype by environment interaction GE, which were collectively named GGE. The GGE data was then subjected to singular value decomposition and was approximated by the first two principal components. Plotting the first principal component against the second for all genotypes and environments resulted in a GGE bip lot. In light of the biplot, peak viscosity of starch pasting characteristics for twenty cultivars from ten locations in Chinese spring sown spring wheat regions was analyzed. The results indicated that Tiechunl performed both high and stable for peak viscosity, followed by Jinchun9, while N ingzuo17 performed the poorest. Harbin was the best environment facilitating identification of peak viscosity. | ||
| 536 | _aGlobal Wheat Program | ||
| 546 | _aText in Chinese | ||
| 591 | _a0402|AL-Wheat Program | ||
| 594 | _aINT2411 | ||
| 595 | _aCSC | ||
| 650 | 7 |
_91296 _aTriticum aestivum _2AGROVOC |
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| 650 | 1 | 0 |
_91134 _aGenotypes _2AGROVOC |
| 650 | 7 |
_91133 _aGenotype environment interaction _2AGROVOC |
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| 650 | 7 |
_92624 _aStatistical methods _2AGROVOC |
|
| 700 | 1 |
_aHe Zhonghu _gGlobal Wheat Program _8INT2411 _9838 |
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| 700 | 0 |
_aAimin Zhang _918176 |
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| 773 | 0 |
_tActa Agronomica Sinica _n632712 _gv. 29, no. 2, p. 245-251 _dChina : Science Press, 2003. _wG446116 _x0496-3490 |
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| 856 | 4 |
_uhttps://hdl.handle.net/10883/21376 _yOpen Access through DSpace |
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| 942 |
_cJA _2ddc _n0 |
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| 999 |
_c24546 _d24546 |
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