000			03234nam a22004457a 4500
001			G65929
003			MX-TxCIM
005			20240919021050.0
008			121211s ||||f| 0 p|p||0|| |
020			_a968-6923-93-4
040			_aMX-TxCIM
072		0	_aF01
072		0	_aF30
072		0	_aH50
082	0	4	_a633.153 _bEDM
110	2		_aCentro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT), Mexico DF (Mexico)
100	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
245	0	0	_aExperimental designs and the analysis of multilocation trials of maize grown under drought stress
260			_aMexico, DF (Mexico) _bCIMMYT : _c1997
340			_aPrinted
520			_aData from multilocation trials are important in agriculture because they can be used to: 1) estimate and predict yield differences among genotypes, 2) assess genotype x site interaction and yield stability, and 3) select superior genotypes for planting in future years and at new sites. Data from multilocation trials is imprecise, complex and noisy. To increase the accuracy of genotypic yield estimates and their contrasts, one can therefore: 1) partition the error variance by using incomplete block designs in the form of lattice or row-column designs, 2) partition the genotypic variation by using spatial models of the form of nearest neighbor analysis, and 3) partition the genotype x site interaction variation by using statistical models that will remove noise from the source of variation. Since these strategies are applied to orthogonal sources of variation, they can be used independently. In this study we discus practical concepts related to increasing the precision of the comparison between genotypic means through improved experimental designs (replicated or unreplicated). Data from the CIMMYT Early Drought Experimental Variety Trial (EDEVT), which included eight drought tolerant maize genotypes, two CIMMYT long-term reference checks and two different local checks, were used. The experimental design used in each of the 21 sites was an alpha (0,1) lattice. The efficiency of the lattice design was compared with the conventional randomized complete block design in each site. Changes in the significance of some genotypic mean contrasts when using adjusted vs unadjusted means were assessed. Genotype x site interaction analysis using the AMMI model, and the grouping of sites without genotypic rank changes using the SHMM model, were performed on the adjusted genotype means.
536			_aGenetic Resources Program
546			_aEnglish
591			_a9802|AGRIS 9702|anterior|R97-98PROCE|FINAL9798
593			_aJose Juan Caballero
594			_aCCJL01
595			_aCPC
650	1	7	_aBreeding methods _gAGROVOC _2 _91030
650	1	0	_aDrought resistance
650	1	0	_91133 _aGenotype environment interaction _gAGROVOC
650	1	0	_aSelection
650	1	0	_aSimulation models _92569
653	0		_aCIMMYT
650	1	0	_91314 _aZea mays _gAGROVOC
650	1	7	_aPlant breeding _gAGROVOC _2 _91203
700	1		_aEdmeades, G.O., _ecoaut.
700	1		_aEdmeades, G.O.|Banziger, M.|Mickelson, H.R.|Peña-Valdivia, C.B. _eeds.
700	1		_aFranco, J. _8CFRN01 _gFormerly Genetic Resources Program _9494
942			_cPRO
999			_c3767 _d3767