Construction of an intra-specific sweet cherry (<Emphasis Type="Italic">Prunus avium</Emphasis> L.) genetic linkage map and synteny analysis with the <Emphasis Type="Italic">Prunus</Emphasis> reference map

Linkage maps of the sweet cherry cultivar ‘Emperor Francis’ (EF) and the wild forest cherry ‘New York 54’ (NY) were constructed using primarily simple sequence repeat (SSR) markers and gene-derived markers with known positions on the Prunus reference map. The success rate for identifying SSR markers that could be placed on either the EF or NY maps was only 26% due to two factors: a reduced transferability of other Prunus-species-derived markers and a low level of polymorphism in the mapping parents. To increase marker density, we developed four cleaved amplified polymorphic sequence markers (CAPS), 19 derived CAPS markers, and four insertion–deletion markers for cherry based on 101 Prunus expressed sequence tags. In addition, four gene-derived markers representing orthologs of a tomato vacuolar invertase and fruit size gene and two sour cherry sorbitol transporters were developed. To complete the linkage analysis, 61 amplified fragment length polymorphism and seven sequence-related amplified polymorphism markers were also used for map construction. This analysis resulted in the expected eight linkage groups for both parents. The EF and NY maps were 711.1 cM and 565.8 cM, respectively, with the average distance between markers of 4.94 cM and 6.22 cM. A total of 82 shared markers between the EF and NY maps and the Prunus reference map showed that the majority of the marker orders were the same with the Prunus reference map suggesting that the cherry genome is colinear with that of the other diploid Prunus species. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

QTL analysis of flower and fruit traits in sour cherry

The map locations and effects of quantitative trait loci (QTLs) were estimated for eight flower and fruit traits in sour cherry (Prunus cerasus L.) using a restriction fragment length polymorphism (RFLP) genetic linkage map constructed from a double pseudo-testcross. The mapping population consisted of 86 progeny from the cross between two sour cherry cultivars, Rheinische Schattenmorelle (RS)×Erdi Botermo (EB). The genetic linkage maps for RS and EB were 398.2 cM and 222.2 cM, respectively, with an average interval length of 9.8 cM. The RS/EB linkage map that was generated with shared segregating markers consisted of 17 linkage groups covering 272.9 cM with an average interval length of 4.8 cM. Eleven putatively significant QTLs (LOD >2.4) were detected for six characters (bloom time, ripening time, % pistil death, % pollen germination, fruit weight, and soluble solids concentration). The percentage of phenotypic variation explained by a single QTL ranged from 12.9% to 25.9%. Of the QTLs identified for the traits in which the two parents differed significantly, 50% had allelic effects opposite to those predicted from the parental phenotype. Three QTLs affecting flower traits (bloom time, % pistil death, and % pollen germination) mapped to a single linkage group, EB 1. The RFLP closest to the bloom time QTL on EB 1 was detected by a sweet cherry cDNA clone pS141 whose partial amino acid sequence was 81% identical to that of a Japanese pear stylar RNase. Received: 4 March 1999 / Accepted: 27 August 1999     

Fruit size QTL identification and the prediction of parental QTL genotypes and breeding values in multiple pedigreed populations of sweet cherry

Large fruit size is a critical trait for any new sweet cherry (Prunus avium L.) cultivar, as it is directly related to grower profitability. Therefore, determining the genetic control of fruit size in relevant breeding germplasm is a high priority. The objectives of this study were (1) to determine the number and positions of quantitative trait loci (QTL) for sweet cherry fruit size utilizing data simultaneously from multiple families and their pedigreed ancestors, and (2) to estimate fruit size QTL genotype probabilities and genomic breeding values for the plant materials. The sweet cherry material used was a five-generation pedigree consisting of 23 founders and parents and 424 progeny individuals from four full-sib families, which were phenotyped for fruit size and genotyped with 78 RosCOS single nucleotide polymorphism and 86 simple sequence repeat markers. These data were analyzed by a Bayesian approach implemented in FlexQTL? software. Six QTL were identified: three on linkage group (G) 2 with one each on groups 1, 3, and 6. Of these QTL, the second G2 QTL and the G6 QTL were previously discovered while other QTL were novel. The predicted QTL genotypes show that some QTL were segregating in all families while other QTL were segregating in a subset of the families. The progeny varied for breeding value, with some progeny having higher breeding values than their parents. The results illustrate the use of multiple pedigree-linked families for integrated QTL mapping in an outbred crop to discover novel QTL and predict QTL genotypes and breeding values.     

Genetic structure of a QTL hotspot on chromosome 2 in sweet cherry indicates positive selection for favorable haplotypes

A genomic region of particular interest for sweet cherry (Prunus avium L.) breeding is a quantitative trait locus (QTL) “hotspot” on chromosome 2. QTLs for fruit size, firmness, sweetness, and flowering time are reported to map to this region. An understanding of genetic diversity, allele sources, linkage relationships, and historical recombinations is critical to enable the combining of favorable alleles at multiple loci. The objectives of this study were to characterize, visualize, and interpret the genetic structure of this previously identified QTL hotspot within North American sweet cherry breeding germplasm, using a pedigree-based haploblocking approach. Across the 29.4 cM (6.3 Mbp) region defined by single nucleotide polymorphism (SNP) information from the RosBREED cherry 6K SNP array v1, a total of 12 recombination events falling into six inter-marker regions were traced within the pedigree of elite and wild germplasm (n = 55). These recombinations defined five haploblocks containing 5–15 markers and exhibiting 7–11 haplotypes each. Over the entire QTL hotspot, 30 extended haplotypes were identified for which parental gametes could be determined. When the haploblocks and their haplotypes were used to explore genetic diversity, ancestry, and recombination patterns, and then integrated with previous QTL results for fruit size, the results indicated that favorable alleles at this QTL hotspot are under positive selection in breeding. The genetic framework provided by a haploblock approach and knowledge of haplotype-level diversity sets the stage for assigning breeding utility to these haplotypes.     

Cell number regulator genes in Prunus provide candidate genes for the control of fruit size in sweet and sour cherry

Striking increases in fruit size distinguish cultivated descendants from small-fruited wild progenitors for fleshy fruited species such as Solanum lycopersicum (tomato) and Prunus spp. (peach, cherry, plum, and apricot). The first fruit weight gene identified as a result of domestication and selection was the tomato FW2.2 gene. Members of the FW2.2 gene family in corn (Zea mays) have been named CNR (Cell Number Regulator) and two of them exert their effect on organ size by modulating cell number. Due to the critical roles of FW2.2/CNR genes in regulating cell number and organ size, this family provides an excellent source of candidates for fruit size genes in other domesticated species, such as those found in the Prunus genus. A total of 23 FW2.2/CNR family members were identified in the peach genome, spanning the eight Prunus chromosomes. Two of these CNRs were located within confidence intervals of major quantitative trait loci (QTL) previously discovered on linkage groups 2 and 6 in sweet cherry (Prunus avium), named PavCNR12 and PavCNR20, respectively. An analysis of haplotype, sequence, segregation and association with fruit size strongly supports a role of PavCNR12 in the sweet cherry linkage group 2 fruit size QTL, and this QTL is also likely present in sour cherry (P. cerasus). The finding that the increase in fleshy fruit size in both tomato and cherry associated with domestication may be due to changes in members of a common ancestral gene family supports the notion that similar phenotypic changes exhibited by independently domesticated taxa may have a common genetic basis.     

QTL analysis and candidate gene mapping for skin and flesh color in sweet cherry fruit (<Emphasis Type="Italic">Prunus avium</Emphasis> L.)

Sweet cherry (Prunus avium L.) skin and fruit colors vary widely due to differences in red and yellow pigment profiles. The two major market classes of sweet cherry represent the two color extremes, i.e., yellow skin with red blush and yellow flesh and dark mahogany skin with mahogany flesh. Yet, within these extremes, there is a continuum of skin and flesh color types. The genetic control of skin and flesh color in sweet cherry was investigated using a quantitative trait locus (QTL) approach with progeny derived from a cross between cherry parents representing the two color extremes. Skin and flesh colors were measured using a qualitative color-card rating over three consecutive years and also evaluated quantitatively for darkness/lightness (L*), red/green (a*), and yellow/blue (b*). Segregations for the color measurements (card, L*, a*, and b*) did not fit normal distributions; instead, the distributions were skewed towards the color of the dark-fruited parent. A major QTL for skin and flesh color was identified on linkage group (LG) 3. Two QTLs for skin and flesh color were also identified on LG 6 and LG 8, respectively, indicating segregation for minor genes. The significance and magnitude of the QTL identified on LG 3 suggests the presence of a major regulatory gene within this QTL interval. A candidate gene PavMYB10, homologous to apple MdMYB10 and Arabidopsis AtPAP1, is within the interval of the major QTL on LG 3, suggesting that PavMYB10 could be the major determinant of fruit skin and flesh coloration in sweet cherry.     

Comparison of the genetic determinism of two key phenological traits,flowering and maturity dates,in three Prunus species: peach,apricot and sweet cherry

The present study investigates the genetic determinism of flowering and maturity dates, two traits highly affected by global climate change. Flowering and maturity dates were evaluated on five progenies from three Prunus species, peach, apricot and sweet cherry, during 3–8 years. Quantitative trait locus (QTL) detection was performed separately for each year and also by integrating data from all years together. High heritability estimates were obtained for flowering and maturity dates. Several QTLs for flowering and maturity dates were highly stable, detected each year of evaluation, suggesting that they were not affected by climatic variations. For flowering date, major QTLs were detected on linkage groups (LG) 4 for apricot and sweet cherry and on LG6 for peach. QTLs were identified on LG2, LG3, LG4 and LG7 for the three species. For maturity date, a major QTL was detected on LG4 in the three species. Using the peach genome sequence data, candidate genes underlying the major QTLs on LG4 and LG6 were investigated and key genes were identified. Our results provide a basis for the identification of genes involved in flowering and maturity dates that could be used to develop cultivar ideotypes adapted to future climatic conditions.     

Metabolic profiling of ethephon-treated sweet cherry (Prunus avium L.)

Increasing costs and decreasing labor availability for sweet cherry harvest in Washington State, USA, has reinvigorated commercial and research interest of mechanized harvest. Ethephon (2-chloroethyl phosphonic acid) can be used to improve fruit abscission for mechanical harvest. Our previous work shows that 3.5 l ha⁻¹ ethephon enhances red color and reduces firmness of the cultivar ‘Bing’. In the current study, we used metabolic profiling of cultivars ‘Bing’, Chelan’, and ‘Skeena’ fruit meso and exocarp tissue to better understand underlying quality-related metabolism associated with ethephon application. Trees were treated using air-blast sprayer 13–14 days prior to harvest and fruit samples were harvested every 7–10 days starting at least 17 days prior to commercial harvest. Nearly 200 identified and partially characterized metabolites from mesocarp and exocarp tissue were characterized and evaluated. Principal component analysis models revealed changes in the metabolome associated with both natural ripening and ethephon-induced changes, including associations to key color, acid, and sugar components, such as cyanidin 3-glucoside, malic acid and sugar metabolism.     

A DNA test for routine prediction in breeding of sweet cherry fruit color,Pav-R<Subscript>f</Subscript>-SSR

Sweet cherry fruit color is a market class-defining trait. The two main market classes in the USA are mahogany, consisting fruit with red skin and flesh, and blush, consisting clear-fleshed fruit with yellow skin and a red overcolor on less than the entire skin surface. Fruit color is a major consideration in sweet cherry breeding as resources and selection thresholds are often differentially applied to each market class. The use of DNA-based information could improve breeding efficiency and accuracy for fruit color, but a predictive DNA test is required. The objective of this study was to develop a reliable, simple DNA test for the prediction of sweet cherry color-based market classes, targeting the major locus, termed here as R _f , associated with fruit color variation. Haplotypes were developed based on 14 SNP markers from the RosBREED cherry 6K SNP array v1 that were associated with the two market classes. To convert the multiple SNP markers to a single, simple PCR-based assay, 11 PCR-based assays targeting microsatellite motifs were designed, using the peach reference genome sequence, and used to screen 20 individuals representing the most common SNP haplotypes. One assay, subsequently named Pav-R_f-SSR, was used to screen 221 phenotyped individuals of the RosBREED sweet cherry reference germplasm set and accurately differentiated individuals with mahogany and blush fruits. Pav-R_f-SSR can be used in DNA-informed breeding schemes to efficiently and accurately predict genetic potential for fruit color and is one of the first DNA tests publicly available for a sweet cherry fruit quality trait.     

Genetic diversity of some Iranian sweet cherry (<Emphasis Type="Italic">Prunus avium</Emphasis>) cultivars using microsatellite markers and morphological traits

The aim of this study was to characterize 23 important Iranian sweet cherry (Prunus avium) cultivars collected from different provinces of Iran and 1 foreign cultivar, which was used as control, considered for breeding programs by using 21 microsatellite markers and 27 morphological traits. In sweet cherry (Prunus avium) accessions, leaf, fruit, and stone morphological characters were evaluated during two consecutive years. The study revealed a high variability in the set of evaluated sweet cherry accessions. The majority of important correlations were determined among variables representing fruit and leaf size and variables related to color. Cluster analysis distinguished sweet cherry accessions into two distinct groups. Principal component analysis (PCA) of qualitative and quantitative morphological parameters explained over 86.59% of total variability in the first seven axes. In PCA, leaf traits such as leaf length and width, and fruit traits such as length, width, and weight, and fruit flesh and juice color were predominant in the first two components, indicating that they were useful for the assessment of sweet cherry germplasm characterization. Out of 21 SSR markers, 16 were polymorphic, producing 177 alleles that varied from 4 to 16 alleles (9.35 on average) with a mean heterozygosity value of 0.82 that produced successful amplifications and revealed DNA polymorphisms. Allele size varied from 95 to 290 bp. Cluster analyses showed that the studied sweet cherry genotypes were classified into five main groups based mainly on their species characteristics and SSR data. In general, our results did not show a clear structuring of genetic variability within the Iranian diffusion area of sweet cherry, so it was not possible to draw any indications on regions of provenance delimitation. The results of this study contribute to a better understanding of sweet cherry genetic variations in Iran, thus making for more efficient programs aimed at preserving biodiversity and more rational planning of the management of reproductive material.     

Studies on water transport through the sweet cherry fruit surface: III. Conductance of the cuticle in relation to fruit size

Rain-cracking of sweet cherry fruit has been related to water absorption through the fruit surface and large fruit has been reported to be more susceptible to cracking than small fruit. Therefore, the effect of fruit size on water conductance of the cuticular membrane (CM) of exocarp segments excised from cheek, suture or stylar end region of mature sweet cherry fruit (Prunus avium L. cv. Sam) was investigated. Segments consisting of epidermis, hypodermis and several layers of mesocarp cells were mounted in diffusion cells filled with deionized water. Mass loss due to transpiration was monitored gravimetrically during an 8-h incubation period (25 +/- 2 degrees C) over dry silica in the dark. Conductance was calculated from the amount of water transpired per unit surface area and time divided by the difference in water vapour concentration across the segment. For an average size cv. Sam sweet cherry CM conductance was 1.06 x 10-4, 0.91 x 10-4 and 2.09 x 10-4 m s-1 in cheek, suture and stylar end region, respectively. Fruit size had no significant effect on conductance in cheek or suture regions, but for the stylar end region conductance was positively related to fruit size. Stomatal density in the cheek, but not the suture or stylar end region increased as fruit size increased. The area of the stylar scar was positively related to fruit size. Conductance of the stylar scar averaged 37.6 +/- 4.0 x 10-4 m s-1 and was 54-fold higher than that of the CM between stomata in the cheek region (mean 0.69 x 10-4 m s-1). Conductance calculated on a whole fruit basis is estimated to increase by 108% as fruit size increases from 6 to 12 g. Increased conductance on a whole fruit basis may be attributed to increased fruit surface area and increased conductance per unit fruit surface area, particularly in the stylar end region.     

Linkage disequilibrium in French wild cherry germplasm and worldwide sweet cherry germplasm

A basic knowledge on linkage disequilibrium (LD) is necessary in order to determine resolution of association studies. We investigated the extent and patterns of LD in a self-incompatible species (Prunus avium L.), in 3 groups (wild cherry, sweet cherry landraces and sweet cherry modern varieties), using a set of 35 microsatellite markers and the gametophytic self-incompatibility locus. Since population structure might create spurious LD, we thus used the information provided by a structure analysis published in a previous study to perform the LD analysis. In the current study, we detected a greater LD extent in sweet cherry than in wild cherry, which is plausibly due to the bottleneck associated with domestication and breeding. Higher LD values in sweet cherry sub-groups may be explained by smaller sample sizes. We also showed that the remaining structure in the groups of sweet cherry, in particular landraces, is responsible for a part of the LD extent. Intra-group relatedness may also account for extensive LD in two sub-groups. These results demonstrate, if ever necessary, the importance of controlling the genetic structure and relatedness when estimating LD. Moreover, LD decays very rapidly with genetic linkage distance in both wild and sweet cherries, which seems promising for future association studies.     

茄子分子遗传图谱的构建及果实性状的QTL定位

以茄子(Solanum melongena)材料09-101-M和10TL-102-F4-1的重组自交系(RIL)为作图群体,构建总长度为991.7c M、共包含16个连锁群157个位点、平均图距为6.32 c M的遗传图谱。应用复合区间作图法(CIM),共检测到18个与茄子果实性状相关的QTLs,其中10个为主效QTLs,8个QTLs在两年两点的实验中能够被重复检测到。在所有QTLs中,控制果重的QTL fw1.1的效应值最大,为23.8%–31.6%,被定位在LG01(E09)上E25M34–E33M57b区域内;果长、果径与果重显著相关,且控制果长、果径与果重的QTL位于同一连锁群的相同区域。     

Mapping of quantitative trait loci (QTLs) for oil yield using SSRs and gene-based markers in African oil palm (<Emphasis Type="Italic">Elaeis guineensis</Emphasis> Jacq.)

The identification of quantitative trait loci (QTLs) based on anchor markers, especially candidate genes that control a trait of interest, has been noted to increase the power of QTL detection. Since these markers can be scored as co-dominant data, they are also valuable for comparing and integrating the QTL linkage maps from diverse mapping populations. To estimate the position and effects of QTLs linked to oil yield traits in African oil palm, co-dominant microsatellites (SSR) and candidate gene-based sequence polymorphisms were applied to construct a linkage map for a progeny showing large differences in oil yield components. The progeny was genotyped for 97 SSR markers, 93 gene-linked markers, and 12 non-gene-linked SNP markers. From these, 190 segregating loci could be arranged into 31 linkage groups while 12 markers remained unmapped. Using the single marker linkage, interval mapping and multiple QTL methods, 16 putative QTLs on seven linkage groups affecting important oil yield related traits such as fresh fruit bunch yield (FFB), ratio of oil per fruit (OF), oil per bunch (OB), fruit per bunch (FB) and wet mesocarp per fruit (WMF) could be identified in the segregating population with estimated values for explained variance ranging from 12.4 % to 54.5 %. Markers designed from some candidate genes involved in lipid biosynthesis were found to be mapped near significant QTLs for various economic yield traits. Associations between QTLs and potential candidate genes are discussed.     

Mapping QTLs for 15 morpho-metric traits in Arabidopsis thaliana using Col-0 × Don-0 population

Genome wide quantitative trait loci (QTL) mapping was conducted in Arabidopsis thaliana using F2 mapping population (Col-0 × Don-0) and SNPs markers. A total of five linkage groups were obtained with number of SNPs varying from 45 to 59 per linkage group. The composite interval mapping detected a total of 36 QTLs for 15 traits and the number of QTLs ranged from one (root length, root dry biomass, cauline leaf width, number of internodes and internode distance) to seven (for bolting days). The range of phenotypic variance explained (PVE) and logarithm of the odds ratio of these 36 QTLs was found be 0.19–38.17% and 3.0–6.26 respectively. Further, the epistatic interaction detected one main effect QTL and four epistatic QTLs. Five major QTLs viz. Qbd.nbri.4.3, Qfd.nbri.4.2, Qrdm.nbri.5.1, Qncl.nbri.2.2, Qtd.nbri.4.1 with PVE > 15.0% might be useful for fine mapping to identify genes associated with respective traits, and also for development of specialized population through marker assisted selection. The identification of additive and dominant effect QTLs and desirable alleles of each of above mentioned traits would also be important for future research.     

矮樱桃果实发育的解剖学研究

利用石蜡制片法解剖研究魏樱桃果实的发育过程,将其发育过程分为３个时期：（１）果实细胞旺盛分裂和增大期：外果皮细胞垂周分裂,以增加果实表面积;中果皮和内果皮主要进行平周分裂３以增加细胞层数,同时３层果皮的细胞体积也增大。（２）内果皮细胞硬化期：外果皮和中果皮的细胞停止分裂,体积增大也不明显,内果皮细胞壁逐渐加厚、硬化。９３）中果皮细胞显著增大期：中果皮的细胞的体积弦向增大的同时,径向延长更明显。其成     

Quantitative trait loci for yield components in oil palm (Elaeis guineensis Jacq.)

The development of an oil palm RFLP marker map has enabled marker-based QTL mapping studies to be undertaken. Information from 153 RFLP markers was used in combination with phenotypic data from an F₂ population to estimate the position and effects of quantitative trait loci (QTLs) for traits including yield of fruit and its components and measures of vegetative growth. The mapping population consisted of 84 palms segregating for the major gene influencing shell thickness. Marker data were analysed to produce a linkage map consisting of 22 linkage groups. The QTL mapping analysis was carried out by interval mapping and single-marker analysis for the unlinked markers; significance thresholds were generated by permutation. Using both single-marker and interval-mapping analysis significant marker associated QTL effects were found for 11 of the 13 traits analysed. The results of interval-mapping analysis of fruit weight, petiole cross section and rachis length, and ratios of shell:fruit, mesocarp:fruit and kernel:fruit indicated significant (P<0.05) QTLs at the genome-wide threshold. The putative QTLs were associated with between 8.2% and 44.0% of the phenotypic variation, with an average of 27% for the single-marker analysis and 19% for the interval-mapping analysis. The higher percentage of phenotypic variation explained in the single-marker analysis, when compared to the interval-mapping analysis, is likely to be due to the lower stringency associated with the single-marker analysis. Large dominance deviations were associated with a sizeable proportion of the putative QTLs. The ultimate objective of mapping QTLs in commercial populations is to utilise novel breeding strategies such as marker-assisted selection (MAS). The potential impact of MAS in oil palm breeding programmes is discussed. Received: 26 June 2000 / Accepted: 24 October 2000     

Effect of ethephon on sweet cherry pedicel-fruit retention force and quality is cultivar dependent

Ethephon (2-chloroethyl phosphonic acid) is effectively used to promote development of the pedicel-fruit abscission zone in tart cherry (Prunus cerasus) for mechanical harvest. Our research program is investigating the use of ethephon to promote pedicel-fruit retention force (PFRF) reduction on new sweet cherry (P. avium) cultivars to assist mechanized harvest and its affect upon fresh market quality fruit. Ethephon treatments were made at different timings and rates to ‘Bing’ and ‘Chelan’ during the 2006 season. Ethephon applications to ‘Bing’ trees more than 10 days prior to harvest were effective at reducing PFRF and facilitating mechanical harvest, irrespective of rate (1.2, 3.5, 5.8 L ha⁻¹ [1, 3, 5 pt A⁻¹]). Ethephon applied fewer than 10 days prior to harvest did not reduce PFRF sufficiently. In contrast, no rate or timing of ethephon studied induced a reduction in ‘Chelan’ PFRF sufficient for mechanical harvest. Accompanying PFRF analyses, fruit quality was assessed by measuring firmness (g mm⁻¹), soluble solids (oBrix), weight (g) and color (CTIFL, scale 1–7). Ethephon applied 22 days before harvest at a rate of 3.5 L ha⁻¹ enhanced exocarp color in ‘Bing’ by 27%, while reducing firmness in both ‘Bing’ (−19%, 22 days prior to harvest) and ‘Chelan’ (−15%, 20 days prior to harvest). We observed a significant natural decline in ‘Skeena’ PFRF to levels acceptable for mechanical harvest. This research documents genotypic-specific pedicel-fruit abscission characteristics and the potential to facilitate mechanical harvest of fresh market quality sweet cherry fruit using ethephon.     

Late dormant rapeseed oil treatment against black cherry aphid and cherry fruit moth in sweet cherries

Abstract:  Black cherry aphid [ Myzus cerasi (Fabricius)] and cherry fruit moth [ Argyresthia pruniella (Clerck)] are the main insect pests on sweet cherries in Norway. In this study, application of rapeseed oil alone and rapeseed oil mixed with pesticides were tested as a control method against overwintering eggs of both black cherry aphid and cherry fruit moth. Results showed that rapeseed oil applied at the late dormant stage significantly reduced damage by black cherry aphid. Efficiency of oil mixed with pesticides was higher, but only significant in three of seven trials. The efficiency of rapeseed oil against cherry fruit moth was low compared with what was achieved for black cherry aphid, but within the range that has been reported for other botanical pesticides. As for the black cherry aphid, adding pesticides to oil decreased damage by the cherry fruit moth. Timing of treatment and effect of temperature were discussed.