000 03446nab a2200469 a 4500
999 _c56933
_d56925
001 56933
003 MX-TxCIM
005 20240919021225.0
008 150803s2015 xxu|||p|op||| 00| 0 eng d
022 _a1435-0653
024 8 _ahttps://doi.org/10.2135/cropsci2014.06.0415
040 _aMX-TxCIM
041 _aeng
100 1 _91426
_aArief, V.N.
245 1 0 _aEvaluating testing strategies for plant breeding field trials :
_bredesigning a CIMMYT International Wheat Nursery
260 _aMadison (USA) :
_bCSSA,
_c2015.
500 _aPeer review
520 _aGenotypes produced from plant breeding programs for annual crops are evaluated in multiyear, multilocation field trials where a large number of genotypes grown in a few locations in the first year are progressively reduced by selection and tested in a greater number of locations in successive years. Provided fixed resources are specified, the efficiencies of testing strategies differing in the number of locations and replications used and in the number of genotypes tested in successive years can be evaluated by three statistics (genetic repeatability, acceptance probability, and potential gain) calculated from five variance components applicable to the field trials. The five variance components required are deployed genetic variance, genotype-by-year, genotype-by-location, and genotype-by-year-by-location interaction variances and the residual (error) variance. Strictly, known variance components are required, but the statistics and their standard errors can be calculated using robust estimates of the variance components obtained from a combined analysis over years of a large set of historical data from field trials that are connected by shared genotypes across years, as genotypeby- year and genotype-by-year-by-location variance components are estimable. Single-year analyses are unsuitable, as no estimate of the interactions with year are available, and such analyses produce biased estimates of genetic variance and genotype-by-location interaction variance. These procedures are illustrated using an example from the CIMMYT international wheat breeding program to evaluate 2-yr testing strategies for CIMMYT's Elite Spring Wheat Yield Trials that has been distributed and evaluated internationally since 1979.
536 _aGenetic Resources Program
536 _aGlobal Wheat Program
546 _aText in English
591 _bCIMMYT Informa No. 1946
594 _aINT1422
594 _aINT0610
594 _aCCJL01
594 _aINT0599
610 2 7 _9978
_aCentro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT)
650 7 _aWheat
_gAGROVOC
_2
_91310
650 7 _aPlant breeding
_gAGROVOC
_2
_91203
700 1 _91427
_aDeLacy, I.H.
700 1 _aCrossa, J.
_gGenetic Resources Program
_8CCJL01
_959
700 1 _aPayne, T.S.
_gFormerly Genetic Resources Program
_8INT1422
_9828
700 1 _aSingh, R.P.
_gGlobal Wheat Program
_8INT0610
_9825
700 1 _aBraun, H.J.
_gFormerly Global Wheat Program
_8INT0599
_9824
700 2 _91428
_aTing Tian
700 1 _91429
_aBasford, K.E.
700 1 _aDieters, M.J.J.
_8001712805
_gExcellence in Breeding
_91430
773 0 _wu444244
_aCrop Science Society of America
_x0011-183X
_dMadison, WI (USA) : CSSA, 2015.
_tCrop Science
_gv. 55, p. 164-177
856 4 _yAccess only for CIMMYT Staff
_uhttps://hdl.handle.net/20.500.12665/1533
942 _2ddc
_cJA
_n0