| 000 | 03481nab a22005057a 4500 | ||
|---|---|---|---|
| 001 | G96440 | ||
| 003 | MX-TxCIM | ||
| 005 | 20230522230437.0 | ||
| 008 | 211021s2012 ne |||p|op||| 00| 0 eng d | ||
| 022 | _a0378-4290 | ||
| 024 | 8 | _ahttps://doi.org/10.1016/j.fcr.2011.12.017 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 090 | _aCIS-6670 | ||
| 100 | 1 |
_9865 _aLopes, M.S. _gGlobal Wheat Program _8INT2835 |
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| 245 | 1 | 4 | _aThe yield correlations of selectable physiological traits in a population of advanced spring wheat lines grown in warm and drought environments |
| 260 |
_aAmsterdam (Netherlands) : _bElsevier, _c2012. |
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| 500 | _aPeer review | ||
| 500 | _aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0378-4290 | ||
| 520 | _aGenetic progress in yield will increase if more traits conferring better agronomic and physiological performance are brought together in the same variety through full exploitation of genotyping and phenotyping techniques in breeding. A set of 288 spring wheat advanced lines was tested in different countries in North Africa, Western and South Asia, as well as in Mexico (total of 12 environments) to: identify high yielding germplasm adapted to the former regions; identify sources of variation for physiological traits; and test the ability of physiological traits to predict yield. A group of high yielding advanced lines has been selected in these environments, but significant genotype by environment interactions were observed and were significantly explained (21% of yield variation) by soil pH and air temperature. Associations between traits were dependent on the environment, specifically TKW was positively associated with yield in almost all environments however in Sudan, negative associations were observed. In contrast cooler CT was consistently associated with yield and the trait showed moderate heritability. Agronomic and physiological variables were able to predict 27% of yield variation across advanced lines (R2% by ridge regression) using means of all environments and this model became more significant under stress environments (explaining around 34% of yield variation). Results suggested that if drought and heat adaptive traits are brought together in one genotype, yields can be further increased particularly in low yielding environments. | ||
| 536 | _aGlobal Wheat Program | ||
| 546 | _aText in English | ||
| 591 | _aCIMMYT Informa No. 1790|Elsevier | ||
| 594 | _aINT3505|INT1511|INT2835 | ||
| 595 | _aCSC | ||
| 650 | 7 |
_aCanopy _2AGROVOC _91800 |
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| 650 | 7 |
_aTemperature _2AGROVOC _97940 |
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| 650 | 7 |
_aDrought _2AGROVOC _91080 |
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| 650 | 7 |
_aAdaptation _2AGROVOC _96026 |
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| 650 | 7 |
_aGenotype environment interaction _2AGROVOC _91133 |
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| 650 | 7 |
_aHeat tolerance _2AGROVOC _91972 |
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| 650 | 1 | 0 |
_91296 _aTriticum aestivum _gAGROVOC |
| 700 | 1 |
_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831 |
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| 700 | 1 |
_9963 _aJalal Kamali, M.R. _gGlobal Wheat Program _8INT3505 |
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| 700 | 1 |
_aMoussa, M., _924202 |
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| 700 | 1 |
_aFeltaous, Y. _924203 |
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| 700 | 1 |
_aTahir, I.S.A. _94800 |
|
| 700 | 1 |
_aBarma, N.C.D _91872 |
|
| 700 | 1 |
_aVargas, M. _93542 |
|
| 700 | 1 |
_aMannes, Y. _924204 |
|
| 700 | 1 |
_91987 _aBaum, M. |
|
| 773 | 0 |
_tField Crops Research _gv. 128, p. 129-136 _dAmsterdam (Netherlands) : Elsevier, 2012. _wG444314 _x0378-4290 |
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| 856 | 4 |
_uhttps://hdl.handle.net/20.500.12665/1418 _yAccess only for CIMMYT Staff |
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| 942 |
_cJA _2ddc _n0 |
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| 999 |
_c29078 _d29078 |
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