Genetic variation of and environmental effects on inducibility of resistance in tomatoes (Solanum lycopersicum L.) to Phytophthora infestans (Mont) de Bary

Many plant strengtheners are promoted for their supposed effects on nutrient uptake and/or resistance induction (IR). In addition, many organic fertilizers are supposed to enhance plant health and several studies have shown that tomatoes grown organically are more resistant to late blight, caused by Phytophthora infestans to tomatoes grown conventionally. Much is known about the mechanisms underlying IR. In contrast, there is no systematic knowledge about genetic variation for IR. Therefore, the following questions were addressed in the presented dissertation: (i) Is there genetic variation among tomato genotypes for inducibility of resistance to P. infestans? (ii) How do different PS compare with the chemical inducer BABA in their ability to IR? (iii) Does IR interact with the inducer used and different organic fertilizers? A varietal screening showed that contrary to the commonly held belief IR in tomatoes is genotype and isolate specific. These results indicate that it should be possible to select for inducibility of resistance in tomato breeding. However, isolate specificity also suggests that there could be pathogen adaptation. The three tested PS as well as two of the three tested organic fertilisers all induced resistance in the tomatoes. Depending on PS or BABA variety and isolate effects varied. In contrast, there were no variety and isolate specific effects of the fertilisers and no interactions with the PS and fertilisers. This suggests that the different PS should work independent of the soil substrate used. In contrast the results were markedly different when isolate mixtures were used for challenge inoculations. Plants were generally less susceptible to isolate mixtures than to single isolates. In addition, the effectiveness of the PS was greater and more similar to BABA when isolate mixtures were used. The fact that the different PS and BABA differed in their ability to induce resistance in different host genotype -pathogen isolate combinations puts the usefulness of IR as a breeding goal in question. This would result in varieties depending on specific inducers. The results with the isolate mixtures are highly relevant. On the one hand they increase the effectiveness of the resistance inducers. On the other hand, measures that increase the pathogen diversity such as the use of diversified host populations will also increase the overall resistance of the hosts. For organic tomato production the results indicate that it is possible to enhance the tomato growing system with respect to plant health management by using optimal fertilisers, plant strengtheners and any measures that increase system diversity.

Spezifität der quantitativen Resistenz von Blättern und Früchten der Tomate (Lycopersicon ssp. L.) gegenüber Phytophthora infestans (Mont.) de Bary.

Ziel der vorliegenden Arbeit war es, einen Beitrag zur Resistenzforschung bei Tomaten gegenüber P. infestans zu leisten, um erste Grundlagen für eine mögliche Züchtungsstrategie auf Basis unterschiedlicher quantitativer Resistenzen zu erarbeiten. Hierzu wurde untersucht, inwieweit unterschiedliche qualitative und quantitative Resistenzen bei Tomatenblättern und -früchten vorliegen, und ob hierfür verantwortliche Mechanismen identifiziert werden können. Zudem wurde untersucht, ob isolatspezifische quantitative Resistenzen identifiziert werden können. Zu diesem Zweck wurde mit einer erweiterten Clusteranalyse, basierend auf einer modifizierten Sanghvi-T2 Distanz, ein statistisches Verfahren entwickelt, welches die Identifikation von quantitativen, isolatspezifischen Resistenzen unter der Berücksichtigung der Variabilität ermöglicht. Des weiteren wurde geprüft, inwieweit zwischen den Resistenzausprägungen auf dem Blatt und den Resistenzausprägungen auf der Frucht ein Zusammenhang besteht und inwieweit die im Labor beobachteten Resistenzen unter Freilandbedingungen eine Rolle spielen. Im Labortest wurde die qualitative und quantitative Blattresistenz von 109 Akzessionen aus elf Lycopersicon und Solanum Arten gegenüber zwölf unterschiedlich aggressiven und teilweise auch unterschiedlich virulenten P. infestans Isolaten untersucht (Kap. 3). Die Früchte von 38 Tomatensorten wurden auf ihre Resistenz gegenüber drei P. infestans Isolaten geprüft. Zusätzlich wurde der Einfluss der Fruchtnachreife auf die Resistenzeigenschaften der Tomatenfrüchte gegenüber P. infestans analysiert (Kap. 4). Insgesamt 40 Sorten wurden auch unter Feldbedingungen auf Blatt- und Fruchtbefall untersucht (Kap. 5). Die frühen Stadien der Infektion von Tomatenblättern mit P. infestans Sporangien wurden mikroskopisch bei acht Tomatensorten mit unterschiedlichen quantitativen Reaktionsprofilen und drei Isolaten untersucht (Kap. 6). Hierzu wurden die Entwicklungsstadien von P. infestans Sporangien nach 24h, 48h und 60h nach der Inokulation auf und im Blatt mit der Calcofluor und der KOH - Anilin Blau Färbung sichtbar gemacht. Das Auftreten und die Lokalisation von H2O2 im Blatt nach 48h und 60h nach der Inokulation in Reaktion auf die Infektion wurde mithilfe einer DAB (3,3′ - Diaminobenzidine) Färbung untersucht. Es wurden einige, z.T. auch wahrscheinlich neue, qualitative Blattresistenzen gegenüber P. infestans gefunden, jedoch war keine der 109 Akzessionen vollständig resistent gegenüber allen Isolaten. Für die quantitative Resistenz von Blättern lagen in vielen Fällen isolatspezifische Unterschiede vor. Die Sorte x Isolat Interaktionen konnten mit Hilfe der erweiterten Clusteranalyse erfolgreich analysiert werden und die Akzessionen in Gruppen mit unterschiedlichen quantitativen Resistenzprofilen bzgl. der Interaktion mit den Isolaten und des Resistenzniveaus eingeteilt werden. Für die Fruchtresistenz konnten keine qualitativen Resistenzen gegenüber den drei getesteten Isolaten gefunden werden. Im Gegensatz dazu unterschieden sich die Tomatensorten in ihrer quantitativen Resistenz und Sorten und Isolate interagierten signifikant. Auch für die Fruchtresistenz konnten Gruppen mit unterschiedlichen quantitativen Reaktionsprofilen gebildet werden. Insgesamt nimmt die Anfälligkeit von Tomatenfrüchten mit zunehmender Reife kontinuierlich und signifikant ab. Unter Laborbedingungen korrelierten nur die Sporulationskapazität der Früchte und der prozentuale Blattbefall. Im Feldversuch über zwei Jahre und mit bis zu 40 Tomatensorten war der Zusammenhang hoch signifikant, jedoch asymptotisch, d.h. bereits bei sehr geringem Blattbefall war der Fruchtbefall sehr hoch. Bei den Tomatenherkünften, die sowohl im Labor als auch im Feld auf ihre Anfälligkeit getestet wurden, erschienen die Blattanfälligkeiten ähnlich, während kein klarer Zusammenhang zwischen der Fruchtanfälligkeit im Feld und im Labor bestand. Die Entwicklung von P. infestans auf der Blattoberfläche war unabhängig von der Sorte. Sowohl beim Eindringen und der Etablierung von P. infestans ins Blatt als auch bei der damit verbunden H2O2 Aktivität im Wirt wurden deutliche isolat- und sortenspezifische Effekte gefunden, die aber nur zum Teil mit den quantitativen Unterschieden der Blattresistenz korrespondierten. Sorten, die bei hoher Resistenz unterschiedliche Reaktionsprofile aufweisen, sind grundsätzlich interessante Kreuzungspartner, um die quantitative Resistenz gegenüber P. infestans zu verbessern. Hier sind vor allem Sorten, die sich auch in ihrer H2O2 Aktivität unterscheiden von Interesse.

Enlarging a training set for genomic selction by imputation of un-genotyped animals in populations of varying genetic architecture

Background: The most common application of imputation is to infer genotypes of a high-density panel of markers on animals that are genotyped for a low-density panel. However, the increase in accuracy of genomic predictions resulting from an increase in the number of markers tends to reach a plateau beyond a certain density. Another application of imputation is to increase the size of the training set with un-genotyped animals. This strategy can be particularly successful when a set of closely related individuals are genotyped. ----- Methods: Imputation on completely un-genotyped dams was performed using known genotypes from the sire of each dam, one offspring and the offspring’s sire. Two methods were applied based on either allele or haplotype frequencies to infer genotypes at ambiguous loci. Results of these methods and of two available software packages were compared. Quality of imputation under different population structures was assessed. The impact of using imputed dams to enlarge training sets on the accuracy of genomic predictions was evaluated for different populations, heritabilities and sizes of training sets. ----- Results: Imputation accuracy ranged from 0.52 to 0.93 depending on the population structure and the method used. The method that used allele frequencies performed better than the method based on haplotype frequencies. Accuracy of imputation was higher for populations with higher levels of linkage disequilibrium and with larger proportions of markers with more extreme allele frequencies. Inclusion of imputed dams in the training set increased the accuracy of genomic predictions. Gains in accuracy ranged from close to zero to 37.14%, depending on the simulated scenario. Generally, the larger the accuracy already obtained with the genotyped training set, the lower the increase in accuracy achieved by adding imputed dams. ----- Conclusions: Whenever a reference population resembling the family configuration considered here is available, imputation can be used to achieve an extra increase in accuracy of genomic predictions by enlarging the training set with completely un-genotyped dams. This strategy was shown to be particularly useful for populations with lower levels of linkage disequilibrium, for genomic selection on traits with low heritability, and for species or breeds for which the size of the reference population is limited.

Heat stress response for physiological traits in dairy and dual purpose cattle populations on phenotypic and genetic scales

The main objective of this thesis was to determine the potential impact of heat stress (HS) on physiological traits of lactating cows and semen quality of bulls kept in a temperate climate. The thesis is comprised of three studies. An innovative statistical modeling aspect common to all three studies was the application of random regression methodology (RRM) to study the phenotypic and genetic trajectory of traits in dependency of a continuous temperature humidity index (THI). In the first study, semen quality and quantity traits of 562 Holstein sires kept on an AI station in northwestern Germany were analyzed in the course of THI calculated from data obtained from the nearest weather station. Heat stress was identified based on a decline in semen quality and quantity parameters. The identified general HS threshold (THI = 60) and the thermoneutal zone (THI in the range from 50 to 60) for semen production were lower than detected in studies conducted in tropical and subtropical climates. Even though adult bulls were characterized by higher semen productivity compared to younger bulls, they responded with a stronger semen production loss during harsh environments. Heritabilities (low to moderate range) and additive genetic variances of semen characteristics varied with different levels of THI. Also, based on genetic correlations genotype, by environment interactions were detected. Taken together, these findings suggest the application of specific selection strategies for specific climate conditions. In the second study, the effect of the continuous environmental descriptor THI as measured inside the barns on rectal temperatures (RT), skin temperatures (ST), vaginal temperatures (VT), respiration rates (RR), and pulse rate (PR) of lactating Holstein Friesian (HF) and dual-purpose German black pied cattle (DSN) was analyzed. Increasing HS from THI 65 (threshold) to THI 86 (maximal THI) resulted in an increase of RT by 0.6 °C (DSN) and 1 °C (HF), ST by 3.5 °C (HF) and 8 °C (DSN), VT by 0.3 °C (DSN), and RR by 47 breaths / minute (DSN), and decreased PR by 7 beats / minute (DSN). The undesired effects of rising THI on physiological traits were most pronounced for cows with high levels of milk yield and milk constituents, cows in early days in milk and later parities, and during summer seasons in the year 2014. In the third study of this dissertation, the genetic components of the cow’s physiological responses to HS were investigated. Heat stress was deduced from indoor THI measurements, and physiological traits were recorded on native DSN cows and their genetically upgraded crosses with Holstein Friesian sires in two experimental herds from pasture-based production systems reflecting a harsh environment of the northern part of Germany. Although heritabilities were in a low range (from 0.018 to 0.072), alterations of heritabilities, repeatabilities, and genetic components in the course of THI justify the implementation of genetic evaluations including heat stress components. However, low repeatabilities indicate the necessity of using repeated records for measuring physiological traits in German cattle. Moderate EBV correlations between different trait combinations indicate the potential of selection for one trait to simultaneously improve the other physiological attributes. In conclusion, bulls of AI centers and lactating cows suffer from HS during more extreme weather conditions also in the temperate climate of Northern Germany. Monitoring physiological traits during warm and humid conditions could provide precious information for detection of appropriate times for implementation of cooling systems and changes in feeding and management strategies. Subsequently, the inclusion of these physiological traits with THI specific breeding values into overall breeding goals could contribute to improving cattle adaptability by selecting the optimal animal for extreme hot and humid conditions. Furthermore, the recording of meteorological data in close distance to the cow and visualizing the surface body temperature by infrared thermography techniques might be helpful for recognizing heat tolerance and adaptability in cattle.