Constitution of resistance to common cutworm in terms of antibiosis and antixenosis in soybean RIL populations

Common cutworm (CCW; Spodoptera litura Fabricius) is a major leaf-feeding pest in Asia. The focus of this study was to explore the genetic mechanism for resistance to CCW in terms of antibiosis and antixenosis through mapping QTL (Quantitative trait locus/loci) in soybean using two recombinant inbred line populations. Larva weight (LW) and pupa weight (PW) were evaluated as indicators for antibiosis and damaged leaf percentage as the indicator for antixenosis to CCW. The obvious transgressive segregation indicated a complementary genetic status between the parents. The genetic structure for antibiosis and antixenosis was similar, about 51.1–75.7 % of the phenotypic variation (PV) accounted for by genetic variation, where 42.2–60.3 %, or the majority, was explained by the collective unmapped minor QTL. And, 0–6 additive QTL each explained 0.0–11.8 % in a total of 0.0–27.4 % of PV, and 0–3 epistatic QTL pairs each explained 0.0–7.6 % in a total of 0.0–14.0 % of PV. However, the detected QTL compositions for antibiosis and antixenosis were quite different with only one QTL qCCW10_1 shared by both antibiosis and antixenosis with 8.9–11.8 and 4.7 % contribution to PV, respectively. Within antibiosis between LW and PW, the detected QTL overlapped (r = 0.53–0.78). Among the detected QTL, qCCW6_1, qCCW10_1 and qCCW12_2 were the major contributors to antibiosis, and qCCW10_1, qCCW10_2 and qCCW12_1 the major contributors to antixenosis. Since only some major QTL could be used for marker-assisted breeding, the main concern is how to use the large amount of undetected minor QTL.     

Modified Atmosphere Packaging (MAP) for Control of Black Spot Formation in Chilled Prawns

The marketing of organically labeled prawns is predominately in a cooked or raw frozen form to avoid the development of melanosis (black spot). Certification for organic status prohibits the use of any added chemicals. The application of 60% CO₂/40%N₂ modified atmosphere to chilled (raw) prawns using two species of prawn was investigated for the ability to control black spot formation. Sensory assessment and microbiological counts were used to determine the end of product shelf life. Modified atmosphere packaged (MAP) prawns exhibited no melanosis for up to 16 days. The high quality life was retained for 12 days; shelf life of 16 days, according to standard microbiological criteria, was achieved, which is more than twice previously reported for non-MAP prawns. Results suggest MAP may be an effective method for the marketing of organically grown prawns as well as those produced by conventional prawn aquaculture without application of the normal chemicals used to prevent black spot.     

Antimicrobial Activity of 1% Cetylpyridinium Chloride Against Listeria spp. on Fish

Cetylpyridinium chloride (CPC) was evaluated as an antimicrobial against Listeria monocytogenes (LM) and Listeria innocua (LI) on fish. LI and LM showed the same reduction profile and the same minimum inhibitory and bactericidal concentrations. When CPC was applied to a diced fish matrix, reductions of 3.17–3.26 and 3.07–3.19 log were determined for LI and LM, respectively. Antimicrobial activity of CPC against LI resulted in initial reductions of 2.8–3.1 log in fresh fish fillets, 0.9–1.1 log in smoked fish fillets, and 3.2–3.4 log on fish skin. Effectiveness of CPC against total plate counts on fish skin showed reductions of 2.4–2.9 log.     

Comparison of spatial prediction techniques for developing Pinus radiata productivity surfaces across New Zealand

Spatial interpolation is frequently used to predict values across a landscape enabling the spatial variation and patterns of a property to be quantified. Inverse distance weighting (IDW), ordinary kriging (OK), regression kriging (RK), and partial least squares (PLS) regression are interpolation techniques typically used where the region of interest's spatial extent is relatively small and observations are numerous and regularly spaced. In the current era of data ‘mining’ and utilisation of sparse data, the above criteria are not always fully met, increasing model uncertainties. Furthermore, regression modelling and kriging techniques require good judgement, experience, and expertise by the practitioner compared with IDW with its more rudimentary approach. In this study we compared spatial predictions derived from IDW, PLS, RK, and OK for Pinus radiata volume mean annual increment (referred to as 300 Index) and mean top height at age twenty (referred to as Site Index) across New Zealand using cross-validation techniques. Validation statistics (RMSE, ME, and R²) show that RK, OK, and IDW provided predictions that were less biased and of greater accuracy than PLS predictions. Standard deviation of rank (SDR) and mean rank (MR) validation statistics showed similar results with OK the most consistent (SDR) predictor, whereas RK had the lowest mean rank (MR), closely followed by IDW. However, the mean performance rankings for validation observations classified according to their distance to the nearest model data point indicate that although PLS provided the poorest predictions at relatively close separation distances (<2 km), in the medium range (∼4–8 km) performance was of similar ranking to that of the other techniques, and at greater separation distances PLS outperformed the other techniques. Maps illustrating the spatial variation of P. radiata forest productivity are provided.     

Predicting the spatial distribution of Cupressus lusitanica productivity in New Zealand

Data from a nationwide set of permanent sample plots was used to develop a multiple regression model of Cupressus lusitanica site index (mean height of the 100 largest diameter trees per hectare at age 30 years) using independent variables obtained from national extent ancillary maps and interpolated surfaces. Using this model New Zealand productivity surfaces for C. lusitanica site index were constructed.The final model accounted for 82% of the variance in the data using mean minimum air temperature, establishment date (expressed as years since 1900), potential root depth, degree of ground frost in summer and modified vegetation cover classification, with each variable accounting for, respectively, 45, 20, 7, 6 and 4% of the variance in the data. A one-at-a-time validation indicated that the final model was relatively unbiased, and accurate, with the predicted values accounting for 76% of the variance in the actual site index.     

Color variation and correlations in <Emphasis Type="Italic">Eucalyptus dunnii</Emphasis> sawnwood

A study of material thinned from a 9-year-old Eucalyptus dunnii progeny trial revealed that E. dunnii has light yellowish wood that is relatively uniform in color, and varies little within and between trees. The variation in color between half-sib families is small, but is statistically significant (P = 0.008). Most of the color variation relates to the yellowness (CIE b*) of the wood, which in heartwood is moderately heritable (h = 0.6). The color of the endgrain, especially its lightness (CIE L*) and whiteness index (E313), is correlated with basic density, hardness, and rates of shrinkage. The CIE rectangular opponent scale (L*, a*, b*) appeared to be the most informative about wood color and properties, and no additional information was gleaned from an analysis of full spectral data in the range 400–700 nm.