000			03203nab a22005177a 4500
999			_c11845 _d11845
001			G27999
003			MX-TxCIM
005			20240919021117.0
008			210615s1990 xxu|||p|op||| 00| 0 eng d
022			_a1435-0653 (Online)
022			_a0011-183X
024	8		_ahttps://doi.org/10.2135/cropsci1990.0011183X003000030003x
040			_aMX-TxCIM
041	0		_aEn
043			_aUS
072		0	_aF01
072		0	_aF30
090			_aCIS-1377
100	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
245	1	0	_aAdditive main effects and multiplicative interaction analysis of two international maize cultivar trials
260			_aUSA : _bCSSA : _bWiley, _c1990.
340			_aPrinted
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0011-183X
500			_aTables, graphs, references p. 499-500
520			_aThe methodology used by the International Maize and Wheat Improvement Center (CIMMYT) to develop and improve its maize (Zea mays L.) germplasm involves evaluation of families or experimental varieties in extensive international testing trials. The genotype-environmental interaction is produced by differential genotypic responses to varied environmental conditions. Its effect is to limit the accuracy of yield estimates and complicate the identification of specific genotypes for specific environments. The objective of this study was to use the Additive Main effects and Multiplicative Interaction (AMMI) method, with additive effects for genotypes and environments and multiplicative terms for genotype-environment interaction, for analyzing data from two international maize cultivar trials. Results from the first trial were: (i) predictive assessment selected AMMI with one principal component axis, (ii) AMMI increased the precision of yield estimates equivalent to increasing the number of replications by a factor of 4.30, (iii) AMMI provided much insight into genotype-environment interactions, and (iv) AMMI selected a different highest-yielding genotype than did treatment means in 72% of the environments. Results for the second trial were that predictive assessment selects the AMMI with none of the principal component axes, which increased precision equivalent to increase the number of replications by a factor of 2.59.
536			_aGenetic Resources Program
546			_aText in English
591			_aMIC 10749-R|Crop Science Society of America (CSSA)|3
594			_aCCJL01
650	1	7	_aBreeding methods _gAGROVOC _2 _91030
650	1	0	_aEnvironment _91098
650	1	7	_aGermplasm _gAGROVOC _2 _91136
650	1	0	_aMexico _946
650	1	0	_aTrials
650	1	0	_91314 _aZea mays _2AGROVOC
650	1	0	_91313 _aYields _2AGROVOC
650	1	0	_91134 _aGenotypes _2AGROVOC
650	1	7	_aPlant breeding _gAGROVOC _2 _91203
653	0		_aCIMMYT
700	1		_aGauch, H.G _9502
700	1		_aZobel, R.W. _920306
773	0		_tCrop Science _n614326, 619855 _gv. 30, no. 3, p. 493-500 _dUSA : CSSA : Wiley, 1990. _wG444244 _x1435-0653
856	4		_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/645
942			_cJA _2ddc _n0