000			04420nab a22003857a 4500
001			G89761
003			MX-TxCIM
005			20220509212059.0
008			210917s2007 xxk|||p|op||| 00| 0 eng d
022	0		_a0021-8596
022	0		_a1469-5146 (Online)
024	8		_ahttps://doi.org/10.1017/S0021859607006831
040			_aMX-TxCIM
041	0		_aeng
090			_aCIS-4968
100	1		_aReynolds, M.P. _gGlobal Wheat Program _8INT1511 _9831
245	1	0	_aAssociation of source/sink traits with yield, biomass and radiation use efficiency among random sister lines from three wheat crosses in a high-yield environment
260			_aUnited Kingdom : _bCambridge University Press, _c2007.
340			_aComputer File|Printed
500			_aPaper presented at International Workshop on Increasing Wheat Yield Potential, CIMMYT, Obregon, Mexico, 20-24 March 2006
520			_aFor many years yield improvement reported in wheat was associated with increased dry matter partitioning to grain, but more recently increases in above-ground biomass have indicated a different mechanism for achieving yield potential. The most likely way of increasing crop biomass is by improving radiation use efficiency (RUE); however there is evidence that sink strength is still a critical yield limiting factor in wheat, suggesting that improving the balance between source and sink (source/sink (SS)) is currently the most promising approach for increasing yield, biomass, and RUE. Experiments were designed to establish a more definitive link of SS traits with yield, biomass and RUE in high-yield environments using progeny deriving from parents contrasting in some of those traits. The SS traits formed three main groups relating to (i) phenological pattern of the crop, (ii) assimilation capacity up until shortly after anthesis, and (iii) partitioning of assimilates to reproductive structures shortly after anthesis. The largest genetic gains in performance traits were associated with the second group; however, traits from the other groups were also identified as being genetically linked to improvement in performance parameters. Because many of these traits are interrelated, principal component analysis (PCA) multiple regression and path analysis were used to expose these relationships more clearly. The trait most consistently associated with performance traits was biomass at anthesis (BMA). The PCA indicated a fairly close association among traits within this group (i.e. assimilation-related traits) while those from the other two groups of SS traits (i.e. phenological and partitioning) appeared to have secondary but independent effects. These conclusions were partially born out by stepwise multiple regression for individual crosses where BMA was often complemented by traits from the two other groups. Taken together, the data suggest that the assimilation traits biomass in vegetative stage (BMV) and BMA have partially independent genetic effects in this germplasm and were complementary to achieving improved performance. The identification of a number of SS traits associated with yield and biomass, which both PCA and multiple regression suggest as being at least partially independent of one another, support the idea that additive gene action could be achieved by adopting a physiological trait based breeding approach where traits from different groups are combined in a single background. A second breeding intervention based on these results would be in selecting progeny for BMA and BMV using spectral reflectance approaches since those traits that lend themselves to large-scale screening. Path analysis confirmed the importance of the spike primordial stage in the genotype by environment interaction for these traits.
536			_aGlobal Wheat Program
546			_aText in English
594			_aINT1511
650		7	_2AGROVOC _96283 _aSource sink relations
650		7	_2AGROVOC _926321 _aPhotosynthetically active radiation
650		7	_2AGROVOC _91155 _aInbred lines
650		7	_2AGROVOC _94558 _aEnvironmental factors
700	1		_aCalderini, D.F. _91417
700	1		_aCondon, A.G. _94290
700	1		_aVargas, M. _93542
773	0		_tThe Journal of Agricultural Science _n634614 _gv. 145, no. 1, p. 3-16 _dUnited Kingdom : Cambridge University Press, 2007. _wG444500 _x0021-8596
856	4		_yAccess only for CIMMYT Staff _uhttps://hdl.handle.net/20.500.12665/1612
942			_cJA _2ddc _n0
999			_c26612 _d26612