000			03174nab a22004337a 4500
001			G96553
003			MX-TxCIM
005			20231018192728.0
008			211111s2012 xxu|||p|op||| 00| 0 eng d
022			_a1435-0653 (Online)
022	0		_a0011-183X
024	8		_ahttps://doi.org/10.2135/cropsci2011.08.0448
040			_aMX-TxCIM
041			_aeng
090			_aCIS-6689
100	1		_9955 _aMachida, L. _gGlobal Maize Program _8INT3439
245	1	0	_aGeostatistical analysis of quality protein maize outcrossing with pollen from adjacent normal endosperm maize varieties
260			_aUSA : _bCSSA : _bWiley, _c2012.
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			_aNutritional advantages of quality protein maize (QPM) (Zea mays L.) over normal endosperm maize (NM) were previously demonstrated by several researchers. However, QPM grain quality loss occurs when a QPM crop receives pollen from NM. This is because the opaque-2 gene allele that confers the QPM trait is recessive. The objective was to estimate outcrossing levels and patterns in QPM growing adjacent to NM. White grain QPM crops were grown on nine blocks of 0.21 ha each surrounded by at least a 10-m band of yellow NM at two sites in Zimbabwe. At maturity 160 samples of five QPM ears each were randomly selected to determine outcrossing. Outcrossing was estimated as percentage of yellow kernels on each ear. Ordinary kriging was used to estimate outcrossing levels in areas that were not sampled. Both prediction and error surfaces were produced for each block using the best ordinary kriging model out of the available 11 in ArcMAP 9.2 computer package. Results indicated that five models (exponential, stable, pentaspherical, rational quadratic, and J-Bessel) predicted outcrossing patterns of the nine experiments. Outcrossing levels were high (63 to 83%) in the peripheral areas of the QPM crops, but less than 20% outcrossing was observed on at least 60% of each of the crop areas with no significant compromise of QPM quality based on a QPM quality index of 0.8. In conclusion, QPM and NM can coexist, and ordinary kriging could be used in visualizing spatial distribution of outcrossing in a QPM crop.
536			_aGlobal Maize Program
546			_aText in English
591			_aCIMMYT Informa No. 1793|Crop Science Society of America (CSSA)
594			_aINT3439|INT2704
595			_aCSC
650		7	_2AGROVOC _91173 _aMaize
650		7	_2AGROVOC _91223 _aProtein quality
650		7	_2AGROVOC _926603 _aCross-breeding
650		7	_2AGROVOC _98835 _aGene Expression
650		7	_2AGROVOC _92624 _aStatistical methods
700	1		_9473 _aDerera, J.
700	1		_aTongoona, P.B. _8001713456 _gFormerly Excellence in Breeding _9340
700	1		_aMutanga, O. _919859
700	1		_aMacRobert, J.F. _8INT2704 _gExcellence in Breeding _9583
773	0		_tCrop Science _gv. 52, no. 3, p. 1235-1245 _dUSA : CSSA : Wiley, 2012. _wG444244 _x1435-0653
856	4		_uhttps://hdl.handle.net/20.500.12665/907 _yAccess only for CIMMYT Staff
942			_cJA _2ddc _n0
999			_c29147 _d29147