| 000 | 03022nab a22004577a 4500 | ||
|---|---|---|---|
| 001 | G76951 | ||
| 003 | MX-TxCIM | ||
| 005 | 20240919021145.0 | ||
| 008 | 210810s2003 xxu|||p|op||| 00| 0 eng d | ||
| 022 | _a1435-0653 (Online) | ||
| 024 | 8 | _ahttps://doi.org/10.2135/cropsci2003.1718 | |
| 040 | _aMX-TxCIM | ||
| 041 | _aeng | ||
| 072 | 0 | _aF01 | |
| 072 | 0 | _aP34 | |
| 090 | _aCIS-3749 | ||
| 100 | 1 |
_aNarro, L. _8INT2062 _91730 _gGlobal Maize Program _gIntegrated Development Program |
|
| 245 | 1 | 0 | _aUsing line x tester interaction for the formation of yellow maize synthetics tolerant to acid soils |
| 260 |
_aUSA : _bCSSA : _bWiley, _c2003. |
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| 340 | _aComputer File | ||
| 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 | _aBreeders need more information on selecting testers to identify lines for formation of synthetics and need more user-friendly methods to study general combining ability (GCA) and specific combining ability (SCA) of genotypes. Forty-three lines were crossed to two narrow-based (S3 line and S3 × S3 hybrid) and two broad-based testers, which were open-pollinated varieties (OPVs). Topcrosses (line × tester, L × T) were evaluated in eight acid soil environments. The additive main effect and multiplicative interaction (AMMI) and the site regression (SREG) models were used to study the GCA of the testers and lines and the SCA of the L × T interaction. The SREG biplot contains the effect of the lines plus the L × T interaction and displays both GCA and SCA, whereas the AMMI biplot contains the effect of the L × T interaction and displays only the SCA. One synthetic was developed by recombining six lines identified as superior by each tester. The four synthetics were evaluated in 12 acid and nine nonacid soil environments. The synthetic developed with the S3 line as tester yielded the highest and the one developed with an OPV as tester yielded the lowest. The AMMI and SREG models seem to provide an effective tool to visualize and study GCA and SCA of genotypes. | ||
| 536 | _aGenetic Resources Program|Global Maize Program | ||
| 546 | _aText in English | ||
| 591 | _a0309|Crop Science Society of America (CSSA)|AL-Maize Program | ||
| 594 | _aCCJL01|INT2062 | ||
| 650 | 7 |
_aPlant breeding _gAGROVOC _2 _91203 |
|
| 650 | 7 |
_92367 _aCombining ability _2AGROVOC |
|
| 650 | 7 |
_926603 _aCross-breeding _2AGROVOC |
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| 650 | 7 |
_96574 _aOpen pollination _2AGROVOC |
|
| 650 | 7 |
_94688 _aAcid soils _2AGROVOC |
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| 650 | 7 |
_96886 _aPhysiological stress resistance _2AGROVOC |
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| 700 | 1 |
_aPandey, S. _922017 |
|
| 700 | 1 |
_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959 |
|
| 700 | 1 |
_96688 _aDe Leon, C. |
|
| 700 | 1 |
_922018 _aSalazar, F. |
|
| 773 | 0 |
_tCrop Science _n632385 _gv. 43, no. 5, p. 1718-1728 _dUSA : CSSA : Wiley, 2003. _wG444244 _x1435-0653 |
|
| 856 | 4 |
_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/893 |
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| 942 |
_cJA _2ddc _n0 |
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| 999 |
_c23053 _d23053 |
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