000 02809nab a22003737a 4500
001 G93314
003 MX-TxCIM
005 20240919020946.0
008 210804t2009 xxu|||p|op||| 00| 0 eng d
022 _a1435-0653 (Online)
022 _a0011-183X
024 8 _ahttps://doi.org/10.2135/cropsci2008.11.0665
040 _aMX-TxCIM
041 _aeng
090 _aCIS-5548
100 0 _aRong-Cai Yang
_921657
245 1 0 _aBiplot analysis of genotype x environment interaction :
_bproceed with caution
260 _aUSA :
_bCSSA :
_bWiley,
_c2009.
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 _aBiplot analysis has been used for studying genotype x environment interaction (GE) or any two-way table. Its descriptive and visualization capabilities along with the availability of user-friendly software have enabled plant scientists to examine any two-way data by a click on a computer button. Despite widespread use, the validity and limitations of biplot analysis have not been completely examined. Here we identify and briefly discuss six key issues surrounding overutilization or abuse of biplot analysis. We question (i) whether the retention of the first two multiplicative terms in the biplot analyses is adequate; (ii) whether the biplot can be more than a simple descriptive technique; (iii) how realistic a "which-won-where" pattern is identified from a biplot; (iv) what if genotypes and/or environments are random effects; (v) how relevant biplot analysis is to the understanding of the nature and causes of interaction; and (vi) how much the biplot analysis can contribute to detection of crossover interaction. We stress the need for use of confidence regions for individual genotype and environment scores in biplots to make critical decisions on genotype selection or cultivar recommendation based on a statistical test. We conclude that the biplot analysis is simply a visually descriptive statistical tool and researchers should proceed with caution if using biplot analysis beyond this simple function
536 _aGenetic Resources Program
546 _aText in English
591 _aCrop Science Society of America (CSSA)
594 _aINT3239|CCJL01
650 7 _2AGROVOC
_91133
_aGenotype environment interaction
650 0 _aAnalysis
_gAGROVOC
_927824
700 1 _aCrossa, J.
_gGenetic Resources Program
_8CCJL01
_959
700 1 _99555
_aCornelius, P.L.
700 1 _9907
_aBurgueƱo, J.
_gGenetic Resources Program
_8INT3239
773 0 _tCrop Science
_gv. 49, no. 5, p. 1564-1576
_dUSA : CSSA : Wiley, 2009.
_wG444244
_x1435-0653
856 4 _yAccess only for CIMMYT Staff
_uhttps://hdl.handle.net/20.500.12665/339
942 _cJA
_2ddc
_n0
999 _c27775
_d27775