000			02958nab a22004577a 4500
001			G8981
003			MX-TxCIM
005			20240919020943.0
008			211104s1988 gw |||p|op||| 00| 0 eng d
022			_a1432-2242 (Online)
022			_a0040-5752
024	8		_ahttps://doi.org/10.1007/BF00276750
040			_aMX-TxCIM
041	0		_aeng
043			_aDE
072		0	_aF01
090			_aCIS-1126
100	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
245	1	2	_aA comparison of results obtained with two methods for assessing yield stability
260			_aBerlin (Germany) : _bSpringer, _c1988.
340			_aPrinted
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752
500			_aTables, graphs, references p. 467
520			_aA major objective of the CIMMYT Maize Program is to develop open-pollinated varieties of maize (Zea mays L.) that are well adapted to a wide range of environments. To achieve this breeding goal, it is essential that the program use a stability technique that will identify high-yielding, stable genotypes accurately in international trials conducted under different environmental conditions. The objective of this study was to compare a spatial method with a modified conventional regression analysis method to determine the yield stability of 27 CIMMYT maize varieties evaluated at 37 locations. The methods also were compared on the basis of their consistency in assessing the stability of varieties when certain locations were omitted, and when subsets of varieties were analyzed. The varieties found to be stable by the spatial method with all sites included in the analysis were also stable (1) when the lowest and highest yielding sites were excluded from the analyses, and (2) when the varieties were considered, along with others, as a subset of the original group of materials. Stability parameters determined by regression analysis, however, varied for some varieties when (1) extreme sites were excluded, and (2) a subset of entries was considered in isolation. Because the spatial method was more consistent in identifying high-yielding stable varieties, it was considered the more useful of the two methods.
536			_aGenetic Resources Program
546			_aText in English
591			_a3|Springer
594			_aCCJL01
595			_aCSC
650	1	7	_aHigh-yielding varieties _gAGROVOC _2 _91147
650	1	0	_aResearch
650	1	0	_aSelection
650	1	0	_aStatistical analysis _91276
650	1	0	_91314 _aZea mays _2AGROVOC
650	1	0	_91313 _aYields _2AGROVOC
650	1	0	_91134 _aGenotypes _2AGROVOC
773	0		_tTheoretical and Applied Genetics _n600704, 610540 _gv. 75, p. 460-467 _wG444762 _x0040-5752 _dBerlin (Germany) : Springer, 1988.
856	4		_uhttps://hdl.handle.net/20.500.12665/829 _yAccess only for CIMMYT Staff
942			_cJA _2ddc _n0
999			_c11182 _d11182