000			02985nab a22003857a 4500
001			G94596
003			MX-TxCIM
005			20230728213726.0
008			211014s2010 at |||p|op||| 00| 0 eng d
022	0		_a1445-4408
022	0		_a1445-4416 (Online)
024	8		_ahttps://doi.org/10.1071/FP09277
040			_aMX-TxCIM
041			_aeng
090			_aCIS-6154
100	1		_aMullan, D.J. _923543
245	1	0	_aQuantifying genetic effects of ground cover on soil water evaporation using digital imaging
260			_aVictoria (Australia) : _bCSIRO Publishing, _c2010.
500			_aPeer review
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=1445-4408
520			_aRapid development of leaf area and/or aboveground biomass has the potential to improve water harvest of rain fed wheat in Mediterranean-type environments through reduced soil evaporation. However, quantitative relationships between genetic differences in early ground cover and soil water evaporation have not been established. Furthermore, accurate phenotyping of ground cover and early vigour have typically been achieved via destructive sampling methods, which are too time-consuming to undertake within breeding programs. Digital image analysis has previously been identified as an alternative indirect method of analysis, whereby computer analysis is ued to determine percentage ground cover. This study uses a digital ground cover (DGC) analysis tool for high throughput screening of four large wheat populations. The DGC methodology was validated via comparisons with alternative measures of canopy cover, such as normalised difference vegetation index (NDVI) (r2 = 0.69), biomass (r2 = 0.63), leaf area index (r2 = 0.80) and light penetration through the canopy (r2 = 0.70). The wheat populations were utilised to estimate the potential variation in soil evaporation associated with genetic differences in early ground cover, which was validated using established models. Estimates of genetic differences in soil evaporation within the four populations (6.90?24.8 mm) suggest that there is sufficient genetic variation to increase water harvest through targeting faster ground cover. Implications for improved wheat yields and breeding are discussed.
536			_aGlobal Wheat Program
546			_aText in English
591			_aCSIRO
594			_aINT1511
650		7	_917439 _aPrecocity _2AGROVOC
650		7	_98953 _aLeaf area index _2AGROVOC
650		7	_915816 _aNormalized difference vegetation index _2AGROVOC
650		7	_91296 _aTriticum aestivum _2AGROVOC
650		7	_91310 _aWheat _2AGROVOC
700	1		_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831
773	0		_tFunctional Plant Biology _gv. 37, no. 8, p. 703-712 _wG447878 _x1445-4408 _dVictoria (Australia) : CSIRO Publishing, 2010.
856	4		_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/1241
942			_cJA _2ddc _n0
999			_c28307 _d28307