>Magister Scientiae - MSc / The climate variability and climate change-induced events experienced worldwide have caused a significant decrease in the rainfall volume. South Africa is considered to be one of the driest countries in the world, as it receives an average annual rainfall that is lower than the global annual average. To sustain and grow the agricultural sector, South Africa supplements the low rainfall with its freshwater resources, for irrigation purposes. This action is necessary, especially for meeting the high water requirements of the South African fruit industry, as it is one of the major exporters of fruit in the world. Research has been conducted in an attempt to accurately quantify the water requirements of various fruits, which will assist farmers to save water, to increase their productivity and to managing their irrigation water. However, a knowledge of the water use, actual water consumption rates and the factors that drive them, is minimal and inadequate, and this has had a detrimental effect on the effective management of irrigation water and water allocation by the responsible stakeholders.

Many soybean [Glycine max (L.) Merrill] cultivars have narrow leaflet shape but it is not known if all of these lines derive this trait from the ln gene or another locus. This project was conducted to determine the inheritance of the narrow leaflet trait in several soybean genotypes and wild [Glycine soja Sieb. et Zucc.] accessions, and also to determine the allelism of the genes for this trait in the selected lines. The parents, F1, F2 and F2:3 generations were grown at Kentland Research Farm near Blacksburg, VA or in the greenhouse. The F2 and F2:3 generations (where available) were observed for segregation in leaflet shape. The populations were scored as having either broad or narrow leaflets using visual classification and leaf measurements when necessary. 'Camp' was crossed with broad leaflet parent 'Essex' to study the inheritance of the narrow leaflet trait in Camp. Observation of the F2 and F2:3 generations lead to the conclusion that a single recessive gene controls leaflet shape in Camp. Narrow leaf parents 'SRF 400' and Camp were crossed with lines having the ln gene (T41, S56, and D64-4731). None of the crosses among Camp, T41, SRF 400, S56 and D64-4731 segregated for leaflet shape in the F2 generation leading to the conclusion that they all have the ln allele at the same locus controlling lanceolate leaflet shape. T313, a line containing a gene for narrow rugose leaflets (lnr), was crossed with Camp to study allelism between the lnr and ln genes. Segregation for leaflet shape was observed in the F2 and F2:3 generations allowing the conclusion that the lnr gene controlling the narrow rugose leaflet trait in T313 is at a locus independent from the ln gene. A deficiency of narrow rugose plants was observed in all of the populations with T313 as a parent, and was theorized as being caused by selection against lnr gametes. After adjustment for the lnr deficiency, the F2 data appeared to fit a 9 broad : 3 narrow : 4 narrow rugose ratio. Three G. soja lines were crossed to broad and narrow leaflet parents and the F2 generations were examined to determine the inheritance of the very narrow leaf phenotype. The results indicate that there are one or two recessive genes controlling narrow leaflet shape in the G. soja accessions, which are not allelic to the ln gene. Since these populations were not advanced to the F3 generation, definite conclusions cannot be drawn about the genetics of the very narrow leaf phenotype. / Master of Science

Cercospora leaf spot (CLS), caused by the fungal pathogen Cercospora beticola, is one of the most destructive foliar diseases on sugar beet. It severely affects productivity and profitability of the sugar beet industry. CLS is managed by using resistant cultivars, rotating with non-host crops, and applying effective fungicides in a timely manner. In North Dakota and Minnesota, site-specific fungicides, such as quinone outside inhibitors (QoIs) and demethylation inhibitors (DMIs), had been widely and extensively applied to control C. beticola which has developed resistances to these fungicides. The mycelial growth, spore production, spore germination, and aggressiveness of QoI and/or DMI resistant isolates were compared to sensitive isolates in a laboratory and greenhouse study. Results indicated that the QoI and/or DMI resistant isolates had a relatively slower disease development on sugar beet leaves due to their fitness penalty in sporulation and mycelial growth but still caused high disease severities as sensitive isolates. Fungicides were evaluated to manage the QoI and/or DMI resistant C. beticola isolates in a sensitivity study and a greenhouse and field study. Copper-based multisite activity fungicides were evaluated for controlling fungicide resistant C. beticola. The mean EC50 values for nine copper-based chemicals ranged from 1 to 10 ug/ml using a spore germination assay. In a greenhouse study, Fertileader (a copper-based fertilizer) caused leaf injury and was not evaluated, but the other tested chemicals provided significantly better control of CLS compared to the control check with Badge X2, Champion, Cuprofix, COCS and Ridomil having significantly small AUDPC. Newer site specific fungicides with different modes of action that have never been used for CLS management in North Dakota and Minnesota were also tested. The mean EC50 values were 4.9, 33.1, 99.4, and 481.6 ug/ml using mycelial growth assay and 5.7, 4.1, 9.2, and 4.2 ug/ml using spore germination assay for cyprodinil, fluazinam, pydiflumetofen, and Chlorothalonil, respectively. In a two-year field study, all the fungicides resulted in significantly better disease control, significantly higher beet tonnage, and recovered sucrose compared to the nontreated check. However, none of tested fungicide treatments performed better than the industry?s standard fungicide, triphenyltin hydroxide.

Premature and excessive leaf abscission during flowering time in the late avocado (Persea americana Mill.) cultivar ‘Ryan’ is a considerable problem for avocado growers. They are especially concerned that premature and excessive leaf abscission will have a negative effect on yield. No previous investigations have been performed where premature and excessive leaf abscission in avocado has been studied in detail. This study therefore aimed to investigate the pattern of premature and excessive leaf abscission in ‘Ryan’, and compare it with two other important commercial cultivars, ‘Fuerte’ and ‘Hass’, which do not display this phenomenon. Time course studies of leaf abscission in the orchard were performed during 2006 and 2007 to determine the pattern of leaf abscission on ‘Ryan’, Fuerte’ and ‘Hass’. This also included anatomical studies to determine the time of leaf abscission zone formation. Possible stress factors, which accelerate leaf abscission were also investigated, namely unfavourable climatic conditions (temperature, solar radiation, rainfall, relative humidity and evapotranspiration), nutrient imbalances, excessive flowering and leaf area. The possible impact leaf abscission may have on yield was then assessed by determining levels of reserve carbohydrates in the bark of the tree. In addition, practical solutions, i.e. the application of fertilizers, plant growth regulators (PGRs) and kaolin, were investigated in order to reduce or eliminate premature and excessive leaf abscission. This study was carried out over the period 2005 until 2007, with experiments being modified on an annual basis as information was gathered on the phenomenon. Experiments began in 2005 with a study on the pattern of leaf abscission in ‘Ryan’, which revealed an increase in leaf abscission just prior to flowering. However, this increase was not significant. During 2006, the leaf abscission pattern for ‘Ryan’ was compared with the leaf abscission patterns of ‘Fuerte’ and ‘Hass’. Leaf abscission for ‘Ryan’ was significantly higher than for ‘Fuerte’ and ‘Hass’ during 2006. During 2006 ‘Ryan’ displayed two periods of high leaf abscission, namely the spring flush between bud dormancy and bud swell, and a drastic increase in spring and summer flush leaf abscission between inflorescence development and full bloom. These periods of increased leaf abscission were absent during the 2007 season. In addition, ‘Fuerte’ and ‘Hass’ did not display these peaks of high leaf abscission, with leaf abscission occurring in these cultivars at higher rates from full bloom onwards. Premature and excessive leaf abscission is therefore not an annual event in ‘Ryan’ and is in all likelihood influenced by external factors. Anatomical studies did not reveal any results in terms of initiation of leaf abscission, with only the protective layer of the abscission zone being visible after leaf yellowing occurred. During 2006, two peaks of extremely low temperatures (<4°C) occurred just prior to the acceleration of leaf abscission. During the second period of low temperatures, the solar radiation:temperature-ratio was also considerably higher. These periods of low temperatures were absent during 2007, indicating that cold and light stress could be contributing to premature and excessive leaf abscission in ‘Ryan’ in 2006. In addition, ‘Ryan’ flowered excessively during 2006, which could have been triggered by low temperature stress just prior to flower initiation. A significant correlation was found between excessive flowering and excessive leaf abscission in ‘Ryan’ during 2006. The occurrence of reduced flowering in ‘Fuerte’ and ‘Hass’ may possibly be due to these two cultivars being more tolerant to stress, and it is possible that ‘Ryan’ is genetically more prone to excessive flowering than ‘Fuerte’ and ‘Hass’. Excessive flowering could accelerate leaf abscission by causing an unusually high demand for water, nutrients and carbohydrates, resulting in the acceleration of leaf abscission. No significant relationship between nutrient levels and excessive leaf abscission was found for either 2006 or 2007. In addition, no significant correlation could be found between leaf abscission on a branch and the total leaf area of that branch during the 2007 season. During 2007, leaf abscission was low and it is possible that a significant correlation could be found in a season with excessive leaf abscission. During 2005, chemical applications to reduce leaf abscission did not yield any significant improvement in leaf retention. In fact, the 50 g/tree Solubor® and 50 g/tree Solubor® in combination with 2 kg/tree dolomitic lime had a significant negative effect on fruit set, possibly because too high concentrations were applied too close to fruit set. Chemical applications during 2006 were therefore made at bud dormancy and bud swell, as it was found that leaf abscission occurred before flowering time. However, no effect was observed on leaf retention or fruit set. During 2007, emphasis was placed on treatments that might reduce stress, as it became evident that stress could be responsible for premature and excessive leaf abscission in ‘Ryan’. Most treatments showed a slight positive effect on leaf retention, but no significant results were obtained possibly because that particular season was a season of low leaf abscission. Further research on application of stress-reducing treatments is therefore recommended. Best farm management practices including optimal fertilization and irrigation is therefore vital to prevent stress, accelerating leaf abscission. Copyright / Dissertation (MSc)--University of Pretoria, 2009. / Plant Science / unrestricted

Remote sensing provides temporal, spectral and spatial information covering a wide area. Therefore, it has great potential in offering a detailed quantitative determination of the leaf area index (LAI) and other crop parameters in precision agriculture. The spatially differentiated assessment of LAI is of utmost importance for enabling an adapted field management, with the aim of increasing yields and reducing costs at the same time. The scientific focus of this work was the investigation of the potential of hyperspectral remote sensing data of different spectral resolutions, which were acquired at different spatial scales, for a precise assessment of wheat LAI. For this reason, three research experiments were conducted: 1) a comparison of different empirical-statistical regression techniques and their capabilities for a robust LAI prediction; 2) a determination of the required spectral resolution and important spectral regions/bands for precise LAI assessment; and 3) an investigation of the influence of the ground sampling distance of remote sensing images on the quality of spatial LAI predictions. The first part of this thesis compared three empirical-statistical regression techniques – namely, partial least-squares regression (PLSR), support vector regression (SVR) and random forest regression (RFR) – and their achieved model qualities for the assessment of wheat LAI from field reflectance measurements. In this context, the two different validation techniques – leave-one-out cross-validation (cv) and independent validation (iv) – were applied for verifying the accuracy of the different empirical-statistical regression models. The results clearly showed that model performance markedly depends on the validation technique used to assess model accuracy. In the case of leave-one-out cross-validation, SVR provided the best results, while PLSR proved to be superior to SVR and RFR when independent validation was applied. In the second part of this thesis, the spectral characteristics of the hyperspectral airborne sensor aisaDUAL (98 spectral bands) and the upcoming hyperspectral satellite mission EnMAP (204 spectral bands) were investigated to show their capability regarding the precise determination of wheat LAI. Moreover, the feature selection algorithm RReliefF, combined with a randomized sampling approach, was applied to identify the spectral bands that were most sensitive to changes in LAI. The results demonstrated that only three spectral bands of aisaDUAL, as well as EnMAP, at specific locations within the investigated spectral range (400–2,500 nm) were necessary for an accurate LAI prediction. The third part of this thesis dealt with the influence of the spatial resolution of aisaDUAL (3 m) and simulated EnMAP (30 m) image data on the assessment of wheat LAI. While the ground sampling distance (GSD) of aisaDUAL allowed a robust regression model calibration and validation, LAI predictions based on simulated EnMAP image data led to poor results because of the distinct difference in size between the EnMAP pixels (900 m2) and the sampled field plots (0.25 m2) for which the LAI was measured. In order to enable a more precise determination of wheat LAI from EnMAP image data, the two different approaches of image aggregation and image fusion were examined. In this context, the fusion approach has proven to be the more suitable method, which allowed a more accurate LAI prediction compared to the results based on the EnMAP data with a GSD of 30 m. In summary, the findings of the research reported in this thesis demonstrated that the accuracy of spatial LAI predictions from remote sensing data depends on several factors. Besides the applied empirical-statistical retrieval- and validation method, the spatial and spectral characteristics of the used image data sets played an important role. With the forthcoming hyperspectral satellite missions (e.g., EnMAP, HyspIRI), the area-wide assessment of LAI and other crop parameters (e.g., biomass, chlorophyll content) will be strongly supported. The moderate spatial resolutions of these satellites systems, however, require a combined use with spatial higher resolution multi- or superspectral satellite data (e.g., RapidEye, Sentinel-2). This multisensoral approach offers great potential for the prompt identification of spatial variations in crop conditions on sub-field scale, which is a mandatory prerequisite for precision agricultural applications.

Wheat is the most widely grown crop in the world and as such, is an essential source of energy and nutrition. The challenges that breeders presently face is to increase production to feed the rising population of the world, while also accounting for climate change, pollution, water and environmental stresses. As genetic uniformity of modern cultivars has increased vulnerability to pests and diseases, the wild relatives of wheat offer a rich source of genetic diversity and stress tolerance traits, that can be harnessed and transferred in to modern wheat. In this study, we used array-based genotyping to explore genetic diversity in 385 domesticated and non-domesticated lines of wheat and their wild relatives. Genetic characterization using the wheat 90K array, and subsequent filtering and validation mapped 9,570 single nucleotide polymorphic markers onto the wheat reference genome. Phylogenetic analyses illustrated four major clades, clearly separating the wild species from the domesticated, and the ancient Triticum turgidum species from modern T. turgidum cultivars. Using this diverse germplasm, a genome-wide association study (GWAS) was performed for leaf rust, the most widespread rust disease of wheat. Identification of novel sources of resistance is necessary to maintain disease resistance and stay ahead in the plant-pathogen evolutionary arms race. GWAS was conducted using eight statistical models for infection types against six leaf rust isolates and leaf rust severity rated in field trials for 3-4 years at 2-3 locations in Canada. Functional annotation of genes containing significant quantitative trait nucleotides (QTNs) identified 96 disease-related nucleotide associated with leaf rust resistance. A total of 21 QTNs were in haplotype blocks or within flanking markers of at least 16 known leaf rust (Lr) resistance genes. The remaining significant QTNs were considered loci that putatively harbor new Lr resistance genes. Future efforts to validate these loci will help understand their role in disease resistance and promote their utility for marker-assisted selection in pre-breeding.

A defining feature of the non-flying mammal pollinated (NMP) syndrome is inflorescence crypsis whereby flowers are close to the ground and somewhat hidden within the canopy. A number of species in the Cape Proteaceae are NMP, two of which were chosen as focal species for this study: Protea amplexicaulis and Protea humiflora. This study investigated the two previously suggested hypotheses for crypsis: hidden flowers are more difficult for nectarivorous birds to access, or hidden flowers provide greater cover for small mammal pollinators from aerial predators. Using remote triggered cameras, P. amplexicaulis and P. humiflora inflorescences were observed over the 2017 flowering period, noting visitation by birds and small mammals and assessing the legitimacy of birds as pollinators. In the literature, bird visitation to exposed inflorescences is suggested to be rare, but this study showed that it is considerable. Observations of camera footage suggest that birds are in fact illegitimate pollinators and thus nectar rob. Bird visitation to exposed inflorescences was more than tenfold that of hidden inflorescences, suggesting that crypsis is likely a strategy to avoid nectar robbing by birds. Both P. amplexicaulis and P. humiflora have been observed to retain dead leaves, which may contribute to their cryptic nature. Alternative hypotheses for dead leaf retention in Proteaceae – that it may increase flammability or result in a below canopy spike in nutrients post fire (selfish fertilization) – were assessed and rejected. Sampling of eight local Protea species showed that dead leaf retention is not a consequence of prolonged live leaf retention, with P. amplexicaulis retaining dead leaves for up to 6 years. The removal of dead leaves in 30 P. amplexicaulis individuals resulted in a significant decrease in the number of inflorescences hidden from aerial view, thus suggesting that dead leaf retention may be a strategy to enhance crypsis and thus forms part of the NMP syndrome. This research expands on the knowledge of the NMP syndrome; providing evidence in support of an anti- nectar robbing crypsis function, discovering a novel crypsis adaptation regarding dead leaf retention, and casting doubt on the Restricted Distributions hypothesis for the evolution of the syndrome.

Plant breeders often examine leaf size, plant height and photosynthetic capacity in an effort to increase wheat yield. This study was concerned with the relationship between these parameters in dwarf and semidwarf wheat cultivars (Triticum aestivum L.) with a wide range in flag leaf size. Photosynthetic capacity was measured at anthesis using photosynthesis versus intercellular CO2 response curves to determine maximum photosynthetic rate and ribulose-1,5- bisphosphate carboxylase efficiency. Leaf area, chlorophyll concentration, stomatal density, interveinal distance and dry mass partitioning were also examined. Smaller flag leaves had greater carboxylation efficiency and closer vein spacing. Dwarf wheat had higher chlorophyll concentrations and maximum photosynthetic rates at anthesis than the taller semi-dwarfs. Dwarf cultivars had lower photosynthetic rates before anthesis, suggesting preanthesis feedback inhibition of photosynthesis, possibly due to a smaller sink capacity of its stem.

Four closely related species of leaf beetles (Diorhabda spp.; Coleoptera:Chrysomelidae) have been introduced into the western United States as biocontrol agents for the invasive Eurasian shrub tamarisk (Tamarix spp.; Violales:Tamaricaceae). These beetles have since continued to spread and establish throughout the western United States. Another exotic insect, the tamarisk leafhopper (Opsius stactogalus, Fieber;Hemiptera: Cicadellidae), had previously become established in these areas and now shares tamarisk as a host plant with the beetles. To assess more carefully the potential for interactions between leafhoppers and beetles, field censuses and cage studies were conducted to determine the phenologies and potential interactions of O. stactogolus and D. carinulata when attacking Tamarix ramosissima (Ledebour) in western Colorado. The leafhopper underwent development through at least three generations per season, whereas the beetle was shown to develop through two generations per season. Variation in leafhopper abundance was associated with the extent and type of foliar damage to tamarisk trees. Individual trees with greatest D. carinulata abundances and subsequent defoliation had significantly reduced O. stactogalus abundances thereafter. Abundance of O. stactogalus was also shown to vary significantly among tamarisk plants in cage settings where leafhoppers were given the choice of potted tamarisk plants with ~50% damage to foliage from D. carinulata versus undamaged plants. In contrast, D. carinulata abundance was not shown to differ strongly in response to O. stactogalus damage in the field or in cage experiments. Field results across sites, however, showed similar trends of reduced beetle abundance on plants more heavily attacked by leafhoppers, and larval growth tests suggested slight reductions in larval pupation and adult emergence of D. carinulata when grown on O. stactogalus-damaged tamarisk. It is not clear if slight tendencies in D. carinulata abundance along with much stronger responses in O. stactogalus abundance were the result of limited plant material, rather than an induced plant defense. It is clear, however, that these specialist herbivores are interacting in an asymmetric competitive fashion while feeding on the same host plant.

京都大学 / 0048 / 新制・課程博士 / 博士(農学) / 甲第19755号 / 農博第2151号 / 新制||農||1038(附属図書館) / 学位論文||H28||N4971(農学部図書室) / 32791 / 京都大学大学院農学研究科農学専攻 / (主査)教授 白岩 立彦, 教授 奥本 裕, 教授 稲村 達也 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DFAM