000 | 03354nab a22005177a 4500 | ||
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001 | G93315 | ||
003 | MX-TxCIM | ||
005 | 20240919021148.0 | ||
008 | 210705s2009 xxu|||p|op||| 00| 0 eng d | ||
022 | _a1435-0653 (Online) | ||
022 | _a0011-183X | ||
024 | 8 | _ahttps://doi.org/10.2135/cropsci2008.04.0227er | |
040 | _aMX-TxCIM | ||
041 | _aeng | ||
090 | _aCIS-5549 | ||
100 | 1 |
_aHernandez-Segundo, E. _920827 |
|
245 | 1 | 0 | _aMega-environment identification for barley based on twenty-seven years of global grain yield data |
260 |
_aUSA : _bCSSA : _bWiley, _c2009. |
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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=0011-183X | ||
520 | _aKnowledge of target environments in breeding programs is important to better direct the development of germplasm. The objectives of this study were to identify associations among barley (Hordeum vulgare L.) growing environments to identify mega-environments to select the best locations to breed barley. Twenty-seven years of grain yield data from the International Barley Yield Trial (IBYT) conducted by the ICARDA-CIMMYT Barley Breeding Program, consisting of 750 grain yield trials of two replications representing 235 locations in 75 countries, were analyzed using pattern analysis to group sites across years that represent similar selection environments. The shifted multiplicative model (SHMM) was employed to group sites within each year. Environments clustered into three main groups and squared Euclidean distances were used to identify a representative location within each cluster. Group 1 locations were characterized as being cool with intermediate precipitation; Group 2 locations were warmer and drier; and Group 3 sites were generally cool and had the highest average precipitation. The respective representative key locations for each of the three groups were Leida, Spain; Boulifa, Tunisia; and Setif, Algeria. All three key locations are located in the Northern Hemisphere between 36° and 41° latitude. The results of this study show that the global adaptation of barley is possible and can be improved by breeding and selection for adaptation within the three main mega-environments identified. | ||
536 | _aGenetic Resources Program | ||
546 | _aText in English | ||
591 | _aCrop Science Society of America (CSSA) | ||
594 | _aCCJL01 | ||
650 | 7 |
_2AGROVOC _94558 _aEnvironmental factors |
|
650 | 7 |
_2AGROVOC _91018 _aBarley |
|
650 | 7 |
_2AGROVOC _927180 _aClimatic zones |
|
650 | 7 |
_aPlant breeding _gAGROVOC _2 _91203 |
|
650 | 7 |
_2AGROVOC _98629 _aField Experimentation |
|
650 | 7 |
_2AGROVOC _92445 _aSelection criteria |
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650 | 7 |
_2AGROVOC _96026 _aAdaptation |
|
700 | 1 |
_aCapettini, F. _92678 |
|
700 | 1 |
_9341 _aTrethowan, R.M. |
|
700 | 1 |
_997 _aGinkel, M. Van |
|
700 | 1 |
_920828 _aMejia, A. |
|
700 | 1 |
_917940 _aCarballo-Carballo, A. |
|
700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
|
700 | 1 |
_93542 _aVargas, M. |
|
700 | 1 |
_920829 _aBalbuena-Melgarejo, A. |
|
740 | _a93315 | ||
740 | _a93758 | ||
773 | 0 |
_tCrop Science _gv. 49, no. 5, p. 1705-1718 _dUSA : CSSA : Wiley, 2009. _wG444244 _x1435-0653 |
|
856 | 4 |
_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/699 |
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942 |
_cJA _2ddc _n0 |
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999 |
_c27776 _d27776 |