000			02674nam a22003497a 4500
001			G98617
003			MX-TxCIM
005			20240919020942.0
008			121211s ||||f| 0 p|p||0|| |
040			_aMX-TxCIM
090			_aCIS-7466
100	1		_aEdriss, V. _uPlant and Animal Genome (PAG) XXII; The Largest Ag-Genomics Meeting in the World; San Diego, CA (USA); 11-15 Jan 2014
245	0	0	_aGenomic prediction accuracy in CIMMYT's East African maize breeding program
260			_c2014
300			_a1 page
500			_aAbstract only
520			_aGenomic prediction is a new method that uses markers across the whole genome to predict individual breeding values at an early growth stage. One of the applications of genomic prediction in plant breeding is to help the breeder select beneficial crosses to create the next generation. The aim of this study was to investigate the genomic prediction accuracy of the diverse population of CIMMYT's East African maize breeding program. The genotypic dataset contains 2022 lines and 66K SNP markers from genotyping by sequencing. The phenotypic data consists of yield evaluations from 154 trials. Genomic prediction was done in two steps: first the BLUP for each line was estimated by considering trial, block and tester effects. In the second step direct genomic values (DGVs) were predicted from BLUPs using ridge regression (rrBLUP). Cross validation was used to estimate the accuracies and it was repeated 50 times. In each cross validation a random 30% of the lines were considered the test population and the rest of the lines were the training population. To visualize the diversity of the population principle component analysis (PCA) was done. The results showed there are five clusters of lines in the population. Genomic prediction was done for each cluster and for all lines. The accuracies varied between 0.28 and 0.41 for different clusters and 0.36 for all lines. These accuracies show promise for implementing genomic prediction in CIMMYT's East African maize breeding program.
536			_aGlobal Maize Program|Genetic Resources Program
546			_aEnglish
593			_aLucia Segura
594			_aINT2765|INT2869|INT3400|CCJL01|INT3333
595			_aCSC
700	1		_92093 _aJannink, J.L.
700	1		_aOlsen, M.S., _ecoaut.
700	1		_92094 _aSorrells, M.E.
700	1		_aXuecai Zhang, _ecoaut.
700	1		_9858 _aMakumbi, D. _gGlobal Maize Program _8INT2765
700	1		_9869 _aFentaye Kassa Semagn _gGlobal Maize Program _8INT2869 _ecoaut.
700	1		_9962 _aJumbo, M.B. _gGlobal Maize Program _8INT3488 _ecoaut.
700	1		_aCrossa, J. _gGenetic Resources Program _8CCJL01 _959
942			_cPRO
999			_c8706 _d8706