>Magister Scientiae - MSc / The Rosaceae family contains major temperate crops such as the domesticated apple(Malus x domestica Borkh.), peach (Prunus persica L. Batsch) and European pear (Pyrus communis L.). However, despite its evident economic importance, it is generally poorly studied in genomic terms, relative to the other major crop groups. Microsatellite and Diversity Array Technology (DArT) genetic markers have been exploited in this work and are essential tools in genetic map construction and marker-assisted selection (MAS) of high quality apples and other rosaceous crops. Microsatellites are advantageous in that they are co-dominant, highly polymorphic, abundant, transferable and reliably reproducible; hence their use in this study. In order for budbreak to take place in a timely and homogenous fashion, apple trees need a period of exposure to low temperatures.Within orchards the application of chemicals that induce budbreak in unsuitable environments is required to produce apples from cultivars that require high chilling levels. However, this and other practices using chemicals in orchards tend to pollute the environment. One of the solutions to this problem is to breed low chill apples such as ‘Anna’ cultivar, which was used as one of the parents in this study.This work was aimed at understanding the underlying genetic factors that determine chilling requirements for the time of initial vegetative budbreak trait in the apple cross ‘Anna’ x ‘Austin’. This was achieved through linkage map construction using SSR and DArT molecular markers followed by QTL analysis. This thesis has therefore exploited the large number of Expressed Sequence Tags (ESTs) and genome sequence data for the apple, using Tandem Repeats Finder, to design a total of 98 new SSR primers pairs. The other 369 SSR markers used in this work were from published work. JoinMap! 4.1 software was used to create an integrated genetic map with 17 linkage groups, for the domesticated apple cultivar, ‘Austin’ x ‘Anna’ mapping population with 80 individuals.The result of this process was a genetic map 1 212cM in length, and a total of 429 markers (314 DArT and 115 SSR), at an average density of a marker every 4 cM. This map was used identify the Quantitative Trait Loci (QTLs) determining chilling requirements for time of vegetative budbreak (IVB). In this process, putative IVB QTLs were identified in the ‘Anna’ x ‘Austin’ mapping population using the rMQM analysis function of MapQTL! 6.0, for both adult and seedling data collected over 3 growing seasons from 1996 to 1998. These QTLs were detected on linkage groups 2, 9 and 14,and explained 0.3 to 12.8 % of the observed phenotypic variation for the adult population,and 5.3 - 21 % for the seedling population. Seedling (LG 14) and adult (LGs 5, 7, 10) specific QTLs were also detected for the ‘Anna’ x ‘Austin’ cross. These QTLs will provide the basis for marker validation on related mapping populations in the apple breeding programme, and for the future identification of candidate genes controlling the process of budbreak.

Doctor of Philosophy / Polyphenol oxidase (PPO) catalyses undesirable darkening in wheat products such as Asian noodles. Genetic variation for PPO activity is characterized in bread wheat. Australian wheat breeding programmes recognize that reduced PPO activity is an important quality target. Despite this interest from breeders, no varieties possessing extremely low and null PPO activity exist. The development of null PPO wheat varieties is dependant on an understanding of the genetic control of the null phenotype. Knowledge of these factors will accelerate efforts to develop them. The inheritance of PPO activity was investigated in two populations that were derived from hybrids between a null PPO genotype and Australian wheat varieties Lang and QAlBis. Observed genetic ratios were consistent with two and three gene control, respectively in these populations. QTL mapping was performed in the QALBis x VAW08-A17 population. The Diversity Array Technology (DArT) approach was employed to genotype the QALBis x VAW08-A17 population. Three highly significant QTLs that control PPO activity were identified on chromosomes 2AL, 2BS and 2DL. Close associations between PPO activity and DArT marker loci wPt-7024, wPt-0094 and wPt-2544 were observed, respectively. Collectively, these loci explained 74% of the observed variation in PPO activity across seasons. Significant QTLs on chromosomes 1B and 3B were also identified that together explained an additional 17% of variation in PPO activity. The relationship between PPO activity and yellow alkaline noodles (YAN) colour stability parameters was investigated in a DM5637*B8 x H45 doubled haploid population. PPO activity and changes in YAN brightness (ΔL* 0-24h) and yellowness (Δb* 0-24h) in both seasons were analysed. Quantitative trait analyses of PPO activity, flour yellowness (b*) and YAN colour stability was also conducted in this population. QTL mapping of variation in PPO activity in the DM5637*B8 x H45 DH population identified a highly significant QTL on chromosome 2AL, which explained 52% of the observed variation across seasons. Regression analysis identified that wPt-7024 was highly significantly associated with PPO activity in this population. A highly significant association between this marker and PPO was also identified in the QALBis x VAW08-A17 population. Collectively, the three identified QTLs (on chromosomes 2AL, 7A and 7B) explained 71% of variation in PPO activity across seasons. A highly significant (P<0.001) QTL on chromosome 2B along with significant (P<0.01) QTLs on the chromosomes 1A, 3B, 4B and 5B were found to control flour yellowness. The QTLs on 2B, 4B and 5B were detected in both seasons analysed and accounted for 90% of variation in flour b* across seasons. The study on YAN colour stability located two highly significant (P<0.001) QTLs and two significant (P<0.01) QTLs that controlled the change in brightness of yellow alkaline noodle. The 2A QTL accounted for 64% of observed variation across seasons. It was in the same location as the PPO QTL and shared a common closest marker wPt-7024. Only one significant QTL for YAN a* (0-24h) was identified. It accounted for 12% of variation across seasons and was only detected in one season. One highly significant (P<0.001) QTL and two significant (P<0.01) QTLs were identified that controlled the change in yellowness of yellow alkaline noodle. The 2A QTL accounted for 68% of observed variation across seasons. The location of this QTL corresponded with that of 2A QTLs for PPO activity and L* of YAN in this study. Furthermore, wPt-7024 was also identified as the marker with the most significant association with L*. The identification of a correlation between the characters and a common location of a highly significant QTL for each of these characters indicates that it is likely that PPO activity is directly responsible for a large proportion of the changes in brightness and yellowness of YAN. QTLs for L* and b* of YAN were detected in a common location on chromosome 1A. However, no corresponding QTL was identified that controls PPO activity, highlighting the complexity of the relationship between these traits. Resistance to three rust pathogens (Puccinia graminis, Puccinia striiformis, and Puccinia triticina) was also investigated in the DM5637*B8 x H45 DH population because they are major yield limiting diseases in wheat. Disease response data at the seedling stage were converted to genotypic scores for rust genes Sr24/Lr24, Sr36, Lr13 and Yr7 to construct a genetic linkage map. No recombination was observed between rust resistance genes Sr36, Lr13 and Yr7 in this DH population. Therefore, these genes mapped in the same position on chromosome 2B. The Lr24/Sr24 locus was incorporated into the chromosome 3D map. Interval mapping analysis identified QTLs on chromosomes 2B, 3B, 4B and 5B that control adult plant resistance (APR) to stripe rust. Two QTLs on chromosomes 2B and 3D were identified that controlled APR to leaf rust in this DH population.

Doctor of Philosophy / Polyphenol oxidase (PPO) catalyses undesirable darkening in wheat products such as Asian noodles. Genetic variation for PPO activity is characterized in bread wheat. Australian wheat breeding programmes recognize that reduced PPO activity is an important quality target. Despite this interest from breeders, no varieties possessing extremely low and null PPO activity exist. The development of null PPO wheat varieties is dependant on an understanding of the genetic control of the null phenotype. Knowledge of these factors will accelerate efforts to develop them. The inheritance of PPO activity was investigated in two populations that were derived from hybrids between a null PPO genotype and Australian wheat varieties Lang and QAlBis. Observed genetic ratios were consistent with two and three gene control, respectively in these populations. QTL mapping was performed in the QALBis x VAW08-A17 population. The Diversity Array Technology (DArT) approach was employed to genotype the QALBis x VAW08-A17 population. Three highly significant QTLs that control PPO activity were identified on chromosomes 2AL, 2BS and 2DL. Close associations between PPO activity and DArT marker loci wPt-7024, wPt-0094 and wPt-2544 were observed, respectively. Collectively, these loci explained 74% of the observed variation in PPO activity across seasons. Significant QTLs on chromosomes 1B and 3B were also identified that together explained an additional 17% of variation in PPO activity. The relationship between PPO activity and yellow alkaline noodles (YAN) colour stability parameters was investigated in a DM5637*B8 x H45 doubled haploid population. PPO activity and changes in YAN brightness (ΔL* 0-24h) and yellowness (Δb* 0-24h) in both seasons were analysed. Quantitative trait analyses of PPO activity, flour yellowness (b*) and YAN colour stability was also conducted in this population. QTL mapping of variation in PPO activity in the DM5637*B8 x H45 DH population identified a highly significant QTL on chromosome 2AL, which explained 52% of the observed variation across seasons. Regression analysis identified that wPt-7024 was highly significantly associated with PPO activity in this population. A highly significant association between this marker and PPO was also identified in the QALBis x VAW08-A17 population. Collectively, the three identified QTLs (on chromosomes 2AL, 7A and 7B) explained 71% of variation in PPO activity across seasons. A highly significant (P<0.001) QTL on chromosome 2B along with significant (P<0.01) QTLs on the chromosomes 1A, 3B, 4B and 5B were found to control flour yellowness. The QTLs on 2B, 4B and 5B were detected in both seasons analysed and accounted for 90% of variation in flour b* across seasons. The study on YAN colour stability located two highly significant (P<0.001) QTLs and two significant (P<0.01) QTLs that controlled the change in brightness of yellow alkaline noodle. The 2A QTL accounted for 64% of observed variation across seasons. It was in the same location as the PPO QTL and shared a common closest marker wPt-7024. Only one significant QTL for YAN a* (0-24h) was identified. It accounted for 12% of variation across seasons and was only detected in one season. One highly significant (P<0.001) QTL and two significant (P<0.01) QTLs were identified that controlled the change in yellowness of yellow alkaline noodle. The 2A QTL accounted for 68% of observed variation across seasons. The location of this QTL corresponded with that of 2A QTLs for PPO activity and L* of YAN in this study. Furthermore, wPt-7024 was also identified as the marker with the most significant association with L*. The identification of a correlation between the characters and a common location of a highly significant QTL for each of these characters indicates that it is likely that PPO activity is directly responsible for a large proportion of the changes in brightness and yellowness of YAN. QTLs for L* and b* of YAN were detected in a common location on chromosome 1A. However, no corresponding QTL was identified that controls PPO activity, highlighting the complexity of the relationship between these traits. Resistance to three rust pathogens (Puccinia graminis, Puccinia striiformis, and Puccinia triticina) was also investigated in the DM5637*B8 x H45 DH population because they are major yield limiting diseases in wheat. Disease response data at the seedling stage were converted to genotypic scores for rust genes Sr24/Lr24, Sr36, Lr13 and Yr7 to construct a genetic linkage map. No recombination was observed between rust resistance genes Sr36, Lr13 and Yr7 in this DH population. Therefore, these genes mapped in the same position on chromosome 2B. The Lr24/Sr24 locus was incorporated into the chromosome 3D map. Interval mapping analysis identified QTLs on chromosomes 2B, 3B, 4B and 5B that control adult plant resistance (APR) to stripe rust. Two QTLs on chromosomes 2B and 3D were identified that controlled APR to leaf rust in this DH population.