Developmental and hormonal regulation of direct shoot organogenesis and somatic embryogenesis in sugarcane (Saccharum spp. interspecific hybrids) leaf culture.

Rapid and efficient in vitro regeneration methods that minimise somaclonal variation are critical for the genetic transformation and mass propagation of commercial varieties. Using a transverse thin cell layer culture system, we have identified some of the developmental and physiological constraints that limit high-frequency regeneration in sugarcane leaf tissue. Tissue polarity and consequently the orientation of the explant in culture, size and developmental phase of explant, and auxin concentration play a significant role in determining the organogenic potential of leaf tissue in culture. Both adventitious shoot production and somatic embryogenesis occurred on the proximal cut surface of the explant, and a regeneration gradient, decreasing gradually from the basal to the distal end, exists in the leaf roll. Importantly, auxin, when added to the culture medium, reduced this spatial developmental constraint, as well as the effect of genotype on plant regeneration. Transverse sections (1-2 mm thick) obtained from young leaf spindle rolls and orienting explants with its distal end facing the medium (directly in contact with medium) are critical for maximum regeneration. Shoot regeneration was observed as early as 3 weeks on MS medium supplemented with alpha-naphthalenencetic acid (NAA) and 6-benzyladenine, while somatic embryogenesis or both adventitious shoot organogenesis and somatic embryogenesis occurred on medium with NAA and chlorophenoxyacetic acid. Twenty shoots or more could be generated from a single transverse section explant. These shoots regenerated roots and successfully established after transplanted to pots. Large numbers of plantlets can be regenerated directly and rapidly using this system. SmartSett, the registered name for this process and the plants produced, will have significant practical applications for the mass propagation of new cultivars and in genetic modification programs. The SmartSett system has already been used commercially to produce substantial numbers of plants of orange rust-resistant and new cultivars in Australia.

Near-infrared reflectance spectroscopy is a rapid, cost-effective predictor of seagrass nutrients.

Near-infrared reflectance spectroscopy was used to analyze nutrient composition of tropical and subtropical seagrasses in Queensland, Australia, as part of a broader study of impacts of grazing by dugongs on seagrass. Seagrass samples of 10 species were collected, transported to the laboratory, and separated into leaf and root/rhizome fractions. They were dried, ground, and near-infrared spectra (400-2500 nm) were collected. We used partial least-squares regression to develop calibration equations relating spectral data to standard compositional analyses performed in the laboratory. These compositional analyses focused on attributes believed to be important determinants of nutritional quality of marine vertebrate herbivores (nitrogen, organic matter, neutral detergent fiber, acid detergent fiber, lignin, neutral starch, water-soluble carbohydrates, and in vitro dry matter digestibility). Calibration equations for each attribute were developed separately for (1) roots/rhizomes and (2) leaves, irrespective of plant species. An equation that combined both plant parts was equally robust. These studies demonstrated the utility of near-infrared spectroscopy in providing rapid and cost-effective analysis of marine plants, which, in turn, permits a rigorous statistical approach to be applied to studies of foraging by marine herbivores.

Ecological applications of near infrared reflectance spectroscopy - a tool for rapid, cost-effective prediction of the composition of plant and animal tissues and aspects of animal performance.

Many ecological studies rely heavily on chemical analysis of plant and animal tissues. Often, there is limited time and money to perform all the required analyses and this can result in less than ideal sampling schemes and poor levels of replication. Near infrared reflectance spectroscopy (NIRS) can relieve these constraints because it can provide quick, non-destructive and quantitative analyses of an enormous range of organic constituents of plant and animal tissues. Near infrared spectra depend on the number and type of C[Formula: see text]H, N[Formula: see text]H and O[Formula: see text]H bonds in the material being analyzed. The spectral features are then combined with reliable compositional or functional analyses of the material in a predictive statistical model. This model is then used to predict the composition of new or unknown samples. NIRS can be used to analyze some specific elements (indirectly - e.g., N as protein) or well-defined compounds (e.g., starch) or more complex, poorly defined attributes of substances (e.g., fiber, animal food intake) have also been successfully modeled with NIRS technology. The accuracy and precision of the reference values for the calibration data set in part determines the quality of the predictions made by NIRS. However, NIRS analyses are often more precise than standard laboratory assays. The use of NIRS is not restricted to the simple determination of quantities of known compounds, but can also be used to discriminate between complex mixtures and to identify important compounds affecting attributes of interest. Near infrared reflectance spectroscopy is widely accepted for compositional and functional analyses in agriculture and manufacturing but its utility has not yet been recognized by the majority of ecologists conducting similar analyses. This paper aims to stimulate interest in NIRS and to illustrate some of the enormous variety of uses to which it can be put. We emphasize that care must be taken in the calibration stage to prevent propagation of poor analytical work through NIRS, but, used properly, NIRS offers ecologists enormous analytical power.