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The Eleventh Regional Wheat Workshop For Eastern ... - Cimmyt

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Milling and baking quality ofSouth African irrigated wheat cultivars - Mamuya el at.<br />

<strong>The</strong> main variates which discriminated between interaction effects CVl (x-axis) (Figure 1)<br />

were SDS-sedimentation (r = 0.958), SKCS-HI (r = 0.781), alveograph P/L ratio (r = -0.571)<br />

and vitreous kernels (-0.563), which had the most significant correlation with CV1 scores<br />

(Table 5).<br />

<strong>The</strong> main variates which discriminated between interaction effects for CV2 (y=axis) (Figure<br />

1 and Table 5) were mixograph development time (r = -0.91), alveograph strength (r = -0.85)<br />

and loaf volume (12% protein) (r = -0.57). <strong>The</strong> CV2 accounted for 18.7% of the total<br />

variation.<br />

<strong>The</strong>refore in conclusion, Figure 1 shows that the pattern for most genotypes within seasons<br />

was very similar. This is shown by codes 2 and 12 (T4), 8 and 16 (SST876), 9 and 17<br />

(SST57),4 and 11 (Kariega), 6 and 14 (SST825), 5 and 15 (SST822), 7 and 18 (Inia), 3 and<br />

10 (Marico). Palmiet (codes 1 and 13) showed unstable quality characteristics. This shows<br />

that despite the environmental conditions having influence on quality parameters, genotype<br />

potential should be the prime objective together with positive environmental interactions. In<br />

ascending order, genotypes like T4;- Palmiet and SST876 had less potential for most of the<br />

parameters, particularly T4 and Palmiet. Nevertheless, Palmiet showed positive<br />

environmental interactions in some locations and it may perform well, also the performance<br />

was intermediate at most of the sites when the environments were not as ideal as it was<br />

during 1997. SST57 showed intermediate potential, whereas Marico, Kariega, SST822,<br />

SST825 and Inia showed intermediate to higher potential. <strong>The</strong>refore these genotypes may<br />

give desirable results at most of the sites for various parameters despite seasonal<br />

environmental variations.<br />

REFERENCES<br />

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Gauch, H.G., 1988. Model selection and validation for yield trials with interaction. Biometrics 4: 705- 715.<br />

Gauch, H.G. and Zobel, R. W., 1988 Predictive and postdictive success of statistical analyses of yield trials.<br />

<strong>The</strong>or. Appl. Genet 76: 1-10.<br />

Graybosch, R.A., Peterson, C.J., Baenziger, P.S. and Shelton, D.R., 1995. Environmental modification of hard<br />

red winter wheat protein composition. 1. Cereal Sci. 22, 45-51.<br />

Howard, N. and Wessels, A., 1997. <strong>Wheat</strong> cultivar: Milling and Baking Performance Analysis. Personal<br />

Communication.<br />

Lukow, O.M. and McVetty, P.B.E., 1991. Effect of cultivar and environment on quality characteristics of spring<br />

wheat. Cereal Chern. 68, 597-601.<br />

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effects on quality characteristics of hard red winter wheat. Crop Sci. 32: 98-103.<br />

Preston, K.R., Lukow, O.M. and Morgan, B., 1992. Analysis of relationship between flour quality properties<br />

and protein fractions in a world wheat collection. Cereal Chern. 69: 560-567. ,<br />

Purchase, 1.L., 1997. Parametric analysis to describe genotype x environment interaction and yield stability in<br />

winter wheat. Ph .D. <strong>The</strong>sis. University of the Orange Free State, 1997.<br />

Rasper, V., 1993. Dough rheology and physical testing of dough. In: B.S. Kamel and C.E. Stauffer (eds).<br />

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