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6-3 B. rapa OH Iines. Seleded DH Iines can then be randornly interpollinated into composite populations to improve the agronornic performance of the population. It may be useful to identify and select optimum OH Iines for development of the composite populations by deterrnining cornbining abilities expressed in controlled crosses. However, this would be time consurning and labour intensive. lt may be necessary to determine the optimum number of DH lines required for interpollination in the development of composite populations for difFerent populations. RAPD analysis may provide a rapid, easy method of charaderizing genotypes for optimization of composite population development by identifying groups of DH Iines that are heterogeneous. Incorporation of these Iines may maximize the heterotic effed or minimize the level of inbreeding that could be obtained through interpollination of the Iines. RAPD analysis deterrnined that the populations produced from 22 OH Iines should have led to the greatest level of heterogeneity and potentially the most improvement in agronomic peHomance above the DH lines. This interpretation differed from the results of the field study of composite development which detemined that interpollination of only 8 Reward DH lines was required to improve the population performance above that of the DH lines. Contradiction between these results may be the result of the limitations in the field study which encompassed only one year and two locations. RAPD analysis may also be useful in future studies for predicting the level of heterosis that rnay be expressed when OH lines are chosen and intercrossed based on their RAPD profile. To further optimize interpollination between individual DH lines
6-4 when developing the composite population it may be usefi~l to idem which Salleles are acting in the individuals. This is a labou-intensive process but this information is becorning available with the study of genetic markers. DH technolcgy has the potential to shorten the the frame for population irnprovernent in a breeding program where recurrent cycles of seledion are tradfiionally required to obtain high levels of homozygosity. DH tedMology has not been as widely applied in SI B. rapa as in self-pollinating crops such as B. napus, due to the effects of inbreeding depression that occur when DH plants are regenerated fmm B. rapa. The development of composite populations and the use of RAPD analysis show potential in contfibuting to the progress of cultivar development Further study is required to confirm these results,
Page 1 and 2:
The Application of Ooubled Haploid
Page 3 and 4:
COPYRIGET P1ERbIISSION PAGE A Thesu
Page 5 and 6:
111 application in 8. rapa cultivar
Page 7 and 8:
v TABLE OF CONTENTS ABSTWT ACKNOWLE
Page 9 and 10:
VI1 LIST OF TABLES TABLE Page EFI',
Page 11 and 12:
lx LlST OF FIGURES FIGURE Page Prod
Page 13 and 14:
1.2 performance. Production of DH p
Page 15 and 16:
History of Canola Produdion of Bras
Page 17 and 18:
Economic Importance and Distributio
Page 19 and 20:
2.5 genes involved in recognizhg an
Page 21 and 22:
2.7 There is potential for loss of
Page 23 and 24:
2.9 their stability under different
Page 25 and 26:
2.1 1 selected and selfed to create
Page 27 and 28:
2.1 3 production (Mathias and Wbbel
Page 29 and 30:
2.1 5 traits have low heritability.
Page 31 and 32:
2.17 opposite strands of template D
Page 33 and 34:
Figure 2.3. The AFLP procedure usin
Page 35 and 36:
2.21 non-specifïc arüfacts which
Page 37 and 38:
2.23 maintenance of DNA extradion p
Page 39 and 40: Cornparison of Bud Pollination and
Page 41 and 42: INTRODUCTION Production of doubled
Page 43 and 44: Effkiency lndex = total number of s
Page 46 and 47: Application of doubfeâ haploid dev
Page 48 and 49: Brassita rapa represents approximat
Page 50 and 51: 4.5 and a daylnight temperature of
Page 52 and 53: 4-7 plants within each tent using a
Page 54 and 55: 4.9 Days to Flowanng Reward OH Iine
Page 56 and 57: 4-11 In Canan, Reward Cja and Cl,,
Page 58 and 59: 4.13 counterparts. The extra genera
Page 60 and 61: 4-15 composite population can eithe
Page 62: Table 4.2. Mean parameter values fo
Page 68 and 69: Table 4.8. Correlation of days to f
Page 72 and 73: Detedion of Genetic Variation in Bm
Page 74: INTRODUCTION The production of doub
Page 77 and 78: 5-6 represented one sample from C,
Page 79 and 80: 5-8 the percent of polymorphism pre
Page 81 and 82: 5-10 and C, and a similar level of
Page 83 and 84: Table 5.2. Polymorphic levels in Cl
Page 86 and 87: 5-15 Table 5.5. Proportion of polyr
Page 88 and 89: 6. GENERAL DlSCUSSlON AND CONCLUSIO
Page 92 and 93: Abramson, RD. 1995. Thermostable DN
Page 94 and 95: Diers, B.W. and Osbom, T.C. 1994. G
Page 96 and 97: Jasieniuk, M., Brill&Babel, AL. and
Page 98 and 99: Narasimhulu, SBw and Chopra, U.L. 1
Page 100 and 101: Schuler, T.J., Hutcheson, O.S. and
Page 102 and 103: Williams, J.G.K., HanMey, M.K., Raf
Page 104 and 105: Appendix 12. Data matrix of RAPO pr
Page 106 and 107: Apperidi 1. (-nueû) Month D~Y Temp
Page 108 and 109: Mean Max [mm)
Page 110 and 111: 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1
Page 112: Append'bc 4. FM measummmts fw param
Page 116 and 117: Locaüon Plant Id. RedTcate €MG D
Page 118 and 119: C24 C24 C2-4 C2-8 C2-8 C2-8 C2-8 c2
Page 120 and 121: Location Plant Id. Replicate €MG
Page 122 and 123: Locaüori Plant ld. Replicate EMG O
Page 124 and 125: Appendix 10. The mean performance o
Page 127: f i . I 1 t a I 1 I I t t c i r' !m
Page 130 and 131: Appendii 12. Data matrix of RAPO pm
Page 133: Appendix 13. @mtïnued) Primer Comp
Page 138: Appendk 14. (continuedl Primer Comp
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