Volatile emission of different plant parts and fruit development from Italian cherry plums (Prunus cerasifera and P. cerasifera ‘Pissardii’)

The chemical composition of volatiles emitted in vivo from different plant parts of P. cerasifera and P. cerasifera ‘Pissardii’ were collected during the entire biological cycle of the plant growth and analyzed by gas chromatography mass spectrometry (GC-MS) after solid phase micro-extraction (SPME). All the data were submitted to multivariate statistical analysis evidencing many differences amongst the selected plant parts and growth stages. A total of 136 compounds were identified corresponding to 90.1–99.6% of the whole aroma profile of cherry plum samples. Non-terpenes were the most abundant class of constituents present in the volatile emission of all analyzed samples. In particular, the aroma of both fruit stages was mainly characterized by alcohols and esters in different amounts.     

The effects of (2RS, 3RS)-1-(4-chlorophenyl)-4, 4-dimethyl-2-(1H-1,2,4 triazol-1-yl) pentan-3-ol (Paclobutrazol:PP333) and root pruning on the growth,water use and response to drought of Colt Cherry rootstocks

The effect of (2RS, 3RS)-1-(4-Chlorophenyl)-4, 4-dimethyl-2-(1H-1,2,4 triazol-1-yl) pentan-3-ol (PP333) on the growth and transpiration of normal and root pruned colt rootstocks was measured. PP333 reduced plant height, stem diameter increment, leaf number, area and weight and stem weight. Root pruning reduced root, leaf and stem weight, and plant height in control plants. PP333 reduced both total water use and transpiration per unit leaf area and increased stomatal resistance. In control plants root pruning also reduced total water use and increased stomatal resistance. 15 days after the beginning of the experiment half the plants in all treatments were allowed to dry out. The effects of drought, i.e. reduced transpiration, growth and leaf water potentials, were smaller in PP333 treated than in control plants.     

Genetic variation detected by use of the M13 “DNA fingerprint” probe in Malus,Prunus, and Rubus (Rosaceae)

Summary Recently, DNA fingerprints have been reported in a wide array of organisms. We used the M13 repeat probe on several genera and species in the angiosperm family Rosaceae. Four apple cultivars could be differentiated when any one of five restriction enzymes was used to analyze minisatellite DNA. Similarly, four individual trees of Prunus serotina (black cherry) exhibited different fingerprints with each of four enyzmes. A total of 14 Rubus (blackberries and raspberries) plants representing four species were investigated with two enzymes. Extensive inter-and intraspecific variation was found. However, some closely growing plants had identical fingerprints, probably due to their being derived through vegetative propagation.     

Phylogenetic relationships among species of Prunus as inferred by isozyme markers

Summary An isozyme survey of 34 species of Prunus representing subgenera Prunus, Amygdalus, Cerasus, and Lithocerasus detected 110 presumptive alleles at 11 isozyme loci. Principal component analysis was conducted on the covariance matrix derived from allelic frequencies calculated for each species. Cluster analysis was performed on the first 30 principal components. Results generally support traditional classification of Prunus at the subgeneric level, except for members of subgenus Lithocerasus and two members of subgenus Amygdalus. Prunus glandulosa Thunb., P. japonica Thunb., and P. tomentosa Thunb. of subgenus Lithocerasus and P. triloba Lindl. of subgenus Amygdalus appear to represent primitive species. P. besseyi Bailey and P. pumila L. of subgenus Lithocerasus and P. andersonii of subgenus Amygdalus should be assigned to subgenus Prunus. Placement of its members indicates that subgenus Lithocerasus is an artificial grouping of species that are very different genetically although similar phenotypically.Paper No. 12529 of the Journal Series of the North Carolina Agricultural Research Service, Raleigh, NC 27695-7643, USA     

Comparison of ELISA and immunoblotting techniques for the detection of cherry mottle leaf virus

Formaldehyde treated cherry mottle leaf virus (ChMLV) and the isolated coat protein were used successfully for the production of polyclonal and monoclonal antibodies. The monoclonal antibodies had a titre of 1:51 200 and consisted of IgG1 and IgG2. The antibodies reacted with all 11 isolates of ChMLV, from five locations in Canada and the USA, included in this study. Several serological procedures were assessed to compare their sensitivity for detecting ChMLV. Plate-trapped antigen ELISA (PTA-ELISA) and dot-blot immunobinding assay (DBIA), using virus specific MAbs, were the most sensitive tests in this study. Triple antibody sandwich ELISA (TAS-ELISA) and Western blot were found to be less sensitive. Dilution of the samples appeared to increase the sensitivity of both PTA-ELISA and Western blot detection. Young leaves and flowers of Prunus avium were the best tissue for detecting the virus which could also be detected in the fruit and leaves of P. tomentosa. April and May were optimal for detection of the virus in the field, whereas both April to May and August to September were optimal for screenhouse-grown plants.     

Cloning and characterization of genomic DNA sequences of four self-incompatibility alleles in sweet cherry (<Emphasis Type="Italic">Prunus avium</Emphasis> L.)

Gametophytic self-incompatibility (GSI) in sweet cherry is determined by a locus S with multiple alleles. In the style, the S-locus codifies for an allele-specific ribonuclease (S-RNase) that is involved in the rejection of pollen that carries the same S allele. In this work we report the cloning and genomic DNA sequence analysis including the 5 flanking regions of four S-RNases of sweet cherry (Prunus avium L., Rosaceae). DNA from the cultivars Ferrovia, Pico Colorado, Taleguera Brillante and Vittoria was amplified through PCR using primers designed in the conserved sequences of sweet cherry S-RNases. Two alleles were amplified for each cultivar and three of them correspond to three new S-alleles named S ₂₃ , S ₂₄ and S ₂₅ present in 'Pico Colorado', 'Vittoria' and 'Taleguera Brillante' respectively. To confirm the identity of the amplified fragments, the genomic DNA of these three putative S-RNases and the allele S ₁₂ amplified in the cultivar Ferrovia were cloned and sequenced. The nucleotide and deduced amino-acid sequences obtained contained the structural features of rosaceous S-RNases. The isolation of the 5-flanking sequences of these four S-RNases revealed a conserved putative TATA box and high similarity among them downstream from that sequence. However, similarity was low compared with the 5-flanking regions of S-RNases from the Maloideae. S ₆ - and S ₂₄ -RNase sequences are highly similar, and most amino-acid substitutions among these two RNases occur outside the rosaceous hypervariable region (RHV), but within another highly variable region. The confirmation of the different specificity of these two S-RNases would help elucidate which regions of the S-RNase sequences play a role in S-pollen specific recognition.Communicated by H.F. Linskens     

A Regional Retrospective Assessment of the Potential Stressors Causing the Decline of the Cherry Point Pacific Herring Run

The Pacific herring stock that spawns at Cherry Point, northwest of Bellingham, WA, has undergone a dramatic decline in the last 20 years. The population decline corresponds with a collapse of the age structure. The Cherry Point area contains three deep water shipping piers, two refineries, an aluminum smelter, and urban development. The Cherry Point Aquatic Reserve was formed initially to protect the spawning habitat of the Cherry Point Pacific herring run. We conducted a retrospective assessment using the relative risk model (RRM) to investigate the causes of the current decline of the Cherry Point run. The RRM combines aspects of the weight-of-evidence (WoE) approach and other methods of establishing causality into a framework that deals with multiple stressors, uncertainty, and spatial scale.

An analysis of the Cherry Point Pacific herring age structure and population dynamics indicates that the loss of reproductive potential of the older age class fish was the population characteristic that led to the decline of the run. Exploitation, habitat alteration and climate change are the risk factors that contribute to the decline of the Cherry Point Pacific herring. The retrospective assessment identified the cyclic nature of climate change, as expressed by the warmer sea surface temperatures associated with a warm Pacific Decadal Oscillation (PDO), as the primary factor altering the dynamics of the Pacific herring. Other factors are ranked accordingly along with the associated uncertainty. Criteria for selecting alternative endpoints for managing the Cherry Point Aquatic Reserve are also provided.

The strengths of the retrospective RRM include its ability to combine a WoE and causality criteria with a multitude of stressors at a regional scale. The difficulties include how to deal with differences in the magnitude of effects, and expressing the uncertainty as distributions.     

Spillover of Drosophila suzukii between noncrop and crop areas: implications for pest management

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Regional Ecological Risk Assessment of a Near Shore Marine Environment: Cherry Point,WA

We conducted a regional ecological risk assessment for a near shore marine environment in northwestern Washington State using the Relative Risk Model. The objectives of this study were threefold: (1) to analyze cumulative impacts from multiple sources of chemical and non-chemical stressors in the near shore region and upland watersheds of Cherry Point (2) to determine the utility of Monte Carlo type uncertainty analysis in a rank-based regional risk assessment and (3) to investigate the effects of model habitat characterization on risk estimates. We used geographic information systems to compile and compare spatial data to determine ranks for sub-regions within the study area. By quantitatively combining ranks with exposure and effects filters, we estimated total relative risk between sub-regions and relative contributions of stressors. Finally, we used Monte Carlo analysis and an alternative ranking scheme to evaluate the effects of model and parameter uncertainty on risk predictions. The regional risk assessment results suggest the major contributors of risk are vessel traffic, upland urban and agricultural land use and shoreline recreational activities. This assessment demonstrated the applicability of regional risk assessment to marine near shore regions and the benefit of Monte Carlo analysis in describing uncertainty in a Relative Risk Model regional risk assessment.