Greenhouse Strawberry Research Articles

Spider mite predator Feltiella acarisuga (Vallot, 1827) (Diptera: Cecidomyiidae) in greenhouse strawberry cultivation in Antalya Province: recognition, population dynamics and parasitization by Aphanogmus sp.

Feltiella acarisuga (Vallot, 1827) (Diptera: Cecidomyiidae) is an effective and common beneficial species that feeds on many species of Tetranychid mites. Although it has been detected in Turkey, there are few studies on this predatory species. In this study, weekly leaf samples were taken to represent the growing area in the soilless strawberry greenhouse of Akdeniz University in 2020 and 2021. In leaf examinations, it was determined that F. acarisuga had an average egg size of 0.21 mm, young and mature larva of 0.26-1.51 mm, and a cocoon size of 2.01 mm. The average body length of male and female individuals was measured as 0.89 mm and 1.11 mm, respectively. It was determined that F. acarisuga can feed on all biological stages of Tetranychus urticae Koch, 1836 (Acari: Tetranychidae), as eggs, larvae, nymphs and adults were seen in the greenhouse in all seasons. Feltiella acarisuga is the most common natural enemy of T. urticae , with a maximum average of 0.38 larvae + cocoons/leaf in the greenhouse in the first year and 0.62 larvae + cocoons/leaf in the second year. In this study, a new species was detected, Aphanogmus sp., which was determined to be the parasitoid of F. acarisuga and different from its known congeners. The parasitization rate of F. acarisuga was found to be between 0 and 51.5%.

LIDAR-based autonomous navigation method for an agricultural mobile robot in strawberry greenhouse: AgriEco Robot

<abstract> <p>This paper presents an autonomous navigation method for an agricultural mobile robot "AgriEco Robot", with four-wheel-drive and embedded perception sensors. The proposed method allows an accurate guidance between strawberry crop rows while automatically spraying pesticides, as well as detecting the end and switching to the next rows. The main control system was developed using Robot Operating System (ROS) based on a 2D LIDAR sensor. The acquired 2D point clouds data is processed to estimate the robot's heading and lateral offset relative to crop rows. A motion controller is incorporated to ensure the developed autonomous navigation method. Performance in terms of accuracy of the autonomous navigation has been evaluated in real-world conditions within strawberry greenhouses, proving its usefulness for automatic pesticide spraying.</p> </abstract>

Construction of a photosynthetic rate prediction model for greenhouse strawberries with distributed regulation of light environment.

In winter and spring, for greenhouses with larger areas and stereoscopic cultivation, distributed light environment regulation based on photosynthetic rate prediction model can better ensure good crop growth. In this paper, strawberries at flowering-fruit stage were used as the test crop, and the LI-6800 portable photosynthesis system was used to control the leaf chamber environment and obtain sample data by nested photosynthetic rate combination experiments under temperature, light and CO2 concentration conditions to study the photosynthetic rate prediction model construction method. For a small-sample, nonlinear real experimental data set validated by grey relational analysis, a photosynthetic rate prediction model was developed based on Support vector regression (SVR), and the particle swarm algorithm (PSO) was used to search the influence of the empirical values of parameters, such as the penalty parameter C, accuracy ε and kernel constant g, on the model prediction performance. The modeling and prediction results show that the PSO-SVR method outperforms the commonly used algorithms such as MLR, BP, SVR and RF in terms of prediction performance and generalization on a small sample data set. The research in this paper achieves accurate prediction of photosynthetic rate of strawberry and lays the foundation for subsequent distributed regulation of greenhouse strawberry light environment.

Developing a multi-label tinyML machine learning model for an active and optimized greenhouse microclimate control from multivariate sensed data

In the uncertainties within which the worldwide food security lies nowadays, the agricultural industry is raising a crucial need for being equipped with the state-of-the-art technologies for a more efficient, climate-resilient and sustainable production. The traditional production methods have to be revisited, and opportunities should be given for the innovative solutions henceforth brought by big data analytics, cloud computing and internet of things (IoT). In this context, we develop an optimized tinyML-oriented model for an active machine learning-based greenhouse microclimate management to be integrated in an on-field microcontroller. We design an experimental strawberry greenhouse from which we collect multivariate climate data through installed sensors. The obtained values' combinations are labeled according to a five-action multi-label control strategy, then used to prepare a machine learning-ready dataset. The dataset is used to train and five-fold cross-validate 90 Multi-Layer Perceptrons (MLPs) with varied hyperparameters to select the most performant –yet optimized– model instance for the addressed task. Our multi-label control approach enables designing highly scalable models with reduced computational complexity, comprising only n control neurons instead of (1 + ∑nk=1Cnk) neurons (usually generated from a classic single-label approach from n input variables). Our final selected model incorporates 2 hidden layers with 7 and 8 neurons respectively and 151 parameters; it scored a mean accuracy of 97% during the cross-validation phase, then 96% on our supplementary test set. The model enables an intelligent and autonomous greenhouse management with the less required computations. It can be efficiently deployed in microcontrollers within real world operating conditions.

Acute and Chronic Toxicity of Selected Pesticides Used in Strawberry Greenhouse to Honeybee (Apis mellifera) Larvae

Honey bee colonies have often collapsed when introduced in strawberry greenhouses for pollination. Toxicological risk assessments conducted to determine the likelihood how a given pesticide would impact honey bees primarily consider the survival of adult bees exposed to the pesticide. However, larvae are also exposed to pesticides as their diets can contain contaminated nectar and pollen collected by foragers. To understand the effect of pesticides in greenhouses on honey bee larvae, we investigated the effects of some insecticides used in strawberry greenhouse on A. mellifera larvae, by acute and chronic toxicity bioassay. Commercial formulations were serially diluted from the recommended concentration to 10SUP-6/SUP times. For acute toxicity, 30 μL of desired concentration of pesticides in diet C were fed to the three-day-old larvae. Mortality of larvae was monitored until the 6th day. For chronic exposure of larvae toxicity, residue level concentrations of pesticides were exposed from 2SUPnd/SUP to the 5SUPth/SUP days. Our results show toxicity order of emamectin benzoate, lufenuron, fluxametamide, acequinocyl, and Acetamiprid with LDSUB50/SUB values 0.000, 0.4, 8.1, 10 and 982.3 ㎍/larvae respectively. Among the two pesticides tested chronically, honey bee larvae were highly sensitive to emamectin benzoate that killed more than 50% in the 6SUPth/SUP day at 35, and 73 ppb. These results show that exposure of larvae to emamectin benzoate results in negative effects on the survival of bees, possibly compromising the dynamics of the colony, contributing to the decline of bee populations.

A calibration method of 2D LIDAR-Visual sensors embedded on an agricultural robot

In the robotics field, mobile platforms typically combine data from multiple sensors and have been extensively researched. Estimating the homogeneous transformation between sensors is a critical step in associating their measurements data. In this paper, we present a calibration method of 2D LIDAR-Visual sensors embedded on an agricultural robot intended for strawberry greenhouse applications. The method is based on plan-to-plan homography approach and employs a set of point correspondences. The correspondences points are the measured intersection points of the laser range finder plane with the edges of the calibration pattern. The extracted points are used to estimate the homography matrix. The RANSAC algorithm is used with more points obtained from pairs scans/images by sensors to generate a robust homography. The estimated homography matrix is identified as the rigid transformation between the 2D LIDAR and the monocular camera. The results of the proposed method show that we can achieve accurate extrinsic parameters, avoiding the need for intrinsic parameters in advance or complex calibration objects. The system is composed of the Hokuyo URG-04LX-UG01 sensor and a monocular camera with an infrared filter. All of the software modules were created using Robot Operating System (ROS) and Python.

The occurrence of strawberry virus 1 infecting strawberry in Shandong province, China.

Strawberry (Fragaria × ananassa Duch.) is one of the most important horticultural plants worldwide with high economic and nutritional value. Strawberry associated virus 1 (SaV1) is a putative Cytorhabdovirus isolated from strawberry in Fujian province, China (Ding et al., 2019). Strawberry virus 1 (StrV-1) is another putative Cytorhabdovirus characterized from F. ananassa and F. vesca in Czech Republic (Fránová et al., 2019). The complete genomes of isolates of SaV1 and StrV-1 share 79 to 98% nucleotide (nt) identities. In August 2020, foliar chlorotic spots or streaks were observed in four strawberry cultivars (cv. Honeoye, Mibao, 8128 and All Star) in Yantai, Shandong province, China. To identify the associated viruses, symptomatic leaves from two plants of each cultivar (8 samples) were pooled for high-throughput sequencing (HTS). Total RNA was extracted from the composite sample and used for constructing a cDNA library after ribosomal RNA (rRNA)-depletion. Sequencing was carried out on Illumina Hiseq 4000 (Novogene, China). Raw reads were filtered, trimmed and de novo assembled as described previously (Grabherr et al., 2013; Zhou et al. 2020). The resulting contigs were screened by BLASTn and BLASTx against GenBank database. Subsequent analyses indicated the presence of strawberry vein banding virus, strawberry pallidosis associated virus and strawberry mottle virus in the analyzed sample, which had been reported previously in strawberry (Martin and Tzanetakis, 2013; Shi et al., 2018; Bhagwat et al., 2016). Besides, five contigs ranging from 266 to 6,057 nt were obtained. They shared 87 to 91% nt sequence identity with StrV-1 isolate B (GenBank accession no. MK211271). To confirm StrV-1 infection in the strawberry plants, total RNA was isolated from all eight samples using RNAprep Pure Plant Plus Kit (Tiangen, China). Reverse transcription polymerase chain reaction (RT-PCR) was conducted with two pairs of specific primers StrVp1 (Forward: 5'-CATTACTGAAGCATTCCGTG-3'/Reverse: 5'-AGATATCACGCACAGTGAC-3'), and StrVp2 (Forward: 5'-TTGCGCGAAGCGGATGTCCG-3'/Reverse: 5'-GGCTGCCAGAGCGTTGGATG-3'), targeting nt positions 70-1,231 and 7,825-9,348 of StrV-1 isolate B, respectively. Fragments with the expected sizes were amplified from two samples of cv. All Star. The amplicons were cloned, sequenced, and deposited in GenBank under accession no. MW419123-124 and MW645247-248. Both protein encoding sequences shared 91 to 92% and 80 to 84% nt identities with the corresponding sequences of StrV-1 isolate B and SaV1, respectively, indicating that the isolates from this study are genetic variants of StrV-1 and distantly related to SaV1. Crude sap was prepared by homogenizing leaf tissues of StrV-1 infected strawberry in 0.02 mol/L sodium phosphate buffer with 0.45% (w/v) sodium diethyldithiocarbamate thihydrate, then gently rubbed onto five healthy Nicotiana benthamiana plants. Neither the inoculated leaves nor the systemically infected leaves showed obvious symptoms seven days post inoculation. However, StrV-1 was detected by RT-PCR in all five N. benthamiana plants as described above. In addition, a survey of strawberry greenhouses was conducted in August 2020 and approximately 10% of plants in a 667 m2 greenhouse in Yantai had StrV-1-like symptoms. To the best of our knowledge, this is the first report of the occurrence of StrV-1 infecting strawberry in Shandong province, China. Our findings expand the geographic range and genetic diversity of StrV-1 and indicate it could be a potential virus threat to strawberry production in China.

Response of soil microbiome structure and its network profiles to four soil amendments in monocropping strawberry greenhouse.

With the constant surge of strawberry cultivation and human demand, widespread concern has been expressed about the severe soil and plant health problems caused by continuous strawberry cropping, particularly monocropping in greenhouses. Effective microorganisms (EM) and Bacillus subtilis (BS) have been extensively commercialized as biological control agents (BCAs) to promote plant growth and yield enhancement. However, their effects on soil microbes are obscure. To regulate the microbial community in continuous cropping strawberry soils, we developed four soil amendments based on these two BCAs by adding low and high contents of compost. The amplicon sequencing of bacterial and fungal ribosomal markers was applied to study the response of the soil microbiome structure. We noticed a sharp increase in bacterial diversity after adding EM-treated high compost and BS-treated low compost, while there was no significant change in fungal diversity among treatments. Through taxonomic classification and FUNGuild analysis, we found that the application of soil amendments resulted in a significant decline in the relative abundance of fungal plant pathogens (Rhizopus, Penicillium and Fusarium) in the soils; accordingly, the metabolic functions of a range of detrimental fungi were inhibited. Correlation analysis indicated that soil microbial community was indirectly driven by soil physicochemical properties. Co-occurrence networks revealed that soil amendments contributed to the connectivity of bacterial network, and EM-treated with high compost was the most complex and balanced. Collectively, EM-treated high compost and BS-treated low compost can well regulate the microbial community structure and thus maintain soil health.

First report of three species of Trichoderma isolated from the rhizosphere in Algeria and the high antagonistic effect of Trichoderma brevicompactum to control grey mould disease of tomato

BackgroundGrey mould caused by Botrytis cinerea Pers. (teleomorph Botryotinia fuckeliana (de Bary) Whetzel) is one of the most destructive fungal diseases of Mediterranean crops. In Algeria, few studies have been made on the economic impact of this disease. Nevertheless, it is practically present in all tomato and strawberry greenhouses, as well as in prospected vineyards in the north and south of the country. The complexity of chemical control of this disease has led to search for Trichoderma strains that are effective in biological control.ResultsFifteen isolates of Trichoderma spp. were obtained from vigorous and healthy plants (tomatoes, strawberries, and vines) rhizosphere, and from a commercial bio-compost (Bio-composte®), then identified as T. afroharzianum (four isolates), T. gamsii (four isolates), T. longibrachiatum (three isolates), T. atroviride (one isolate), T. brevicompactum (one isolate), T. breve (one isolate), and T. lixii (one isolate) on the basis of DNA sequence analysis of four genes (ITS, tef1, rpb2, and acl1). In vitro biocontrol tests revealed that four Algerian isolates of Trichoderma spp. (TAtC11, TGS7, TGS10, and TBS1) had a high antagonistic activity against B. cinerea, the mycelial growth has been reduced by 62 to 65% in dual-culture technique, by 62.31 to 64.49% in volatile compounds test, and a high inhibition of germling growth was recorded by TBS1 isolate with 90.68% in Culture filtrates test. Biocontrol tests carried out on tomato plants with T. brevicompactum (TBS1), T. atroviride (TAtC11), and T. lixii (TLiC8) against B. cinerea (BCT04) showed that TBS1 inoculation significantly reduced the incidence of disease by 64.43 and 51.35% in preventive and curative treatment, respectively.ConclusionThe present study revealed the first report of T. brevicompactum, T. breve, and T. lixii in Algeria, and it also contributes to the promotion of the use of native strains of Trichoderma in biological control leading to a better preservation of soil microbial diversity.

Genetics of wild and mass-reared populations of a generalist aphid parasitoid and improvement of biological control.

Due to their ability to parasitize various insect species, generalist parasitoids are widely used as biological control agents. They can be mass-reared and released in agroecosystems to control several pest species in various crops. However, the existence of genetic differentiation among populations of generalist parasitoid species is increasingly recognized and this can be associated with an adaptation to local conditions or to a reduced range of host species. Moreover, constraints of mass-rearing conditions can alter genetic variation within parasitoid populations released. These features could be associated with a reduced efficiency of the control of targeted pest species. Here, we focused on strawberry greenhouses where the control of aphids with the generalist parasitoid Aphidius ervi appears to be inefficient. We investigated whether this inefficiency may have both genetic and ecological bases comparing wild and commercial populations of A. ervi. We used two complementary genetic approaches: one based on the mitochondrial marker COI and one based on microsatellite markers. COI analysis showed a genetic differentiation within the A. ervi species, but the structure was neither associated with the commercial/wild status nor with host species factors. On the other hand, using microsatellite markers, we showed a genetic differentiation between commercial and wild A. ervi populations associated with a loss of genetic diversity within the mass-reared populations. Our ecological genetics study may potentially explain the weak efficiency of biological control of aphids in protected strawberry crops and enable to provide some insights to improve biological control.

Biological control against spider mites in strawberry greenhouses in Turkey

Biological control against spider mites in strawberry greenhouses in Turkey

Cultivation performance and flowering behavior of day-neutral ‘Portola’ strawberry in solar greenhouse

Cultivation performance and flowering behavior of day-neutral ‘Portola’ strawberry in solar greenhouse

Comparison of chemical and biological control efficiency of two-spotted spider mites in strawberry greenhouses

Comparison of chemical and biological control efficiency of two-spotted spider mites in strawberry greenhouses

Biochar for Circular Horticulture: Feedstock Related Effects in Soilless Cultivation

Biochar has previously been used in growing media blends as fertilizer or for improving plant growth, disease suppression, and as a sustainable replacement of peat. To achieve optimal circular horticulture, we propose here to reuse the biochar from spent growing media. However, it is unclear to what extent the biochar feedstock determines the mode of action of the biochar and if use of spent growing media biochar may encounter nutrient or salt problems. Differences in chemical characteristics, nutrient release, and interaction in a leaching experiment and effects on plant growth, nutrient uptake, and disease suppression in a strawberry greenhouse trial were studied for 11 biochars either processed from spent growing media or from lignocellulosic biomass. A well-studied biochar produced from oak wood was set as reference. Biochars produced from spent growing media were characterized by higher electrical conductivity, extractable and total nutrient concentrations compared with biochars produced from lignocellulosic biomass. Especially in the first phase of the leaching experiment, all biochars showed nutrient and salt release, with most prominent effects for spent growing media biochars and the reference biochar. The latter biochars were an important source of phosphorus and in particular of potassium. Only for the reference biochar, strawberry plants showed increased uptake of phosphorus, potassium and calcium, and increased chlorophyll concentration. No Bortrytis cinerea disease suppression and no increase in plant growth was observed for the tested biochars. It is concluded that spent growing media can be recycled as biochar in growing media without adverse effects compared to biochars produced from lignocellulosic biomass.

Comparison the dissipation behaviors and exposure risk of carbendazim and procymidone in greenhouse strawberries under different application method: Individual and joint applications

The dissipation behaviors and exposure risks of individual and joint application of procymidone and carbendazim in greenhouse strawberries were studied. The initial concentrations were similar after individual or joint applications, while the dissipation half-lives and finial concentrations were significantly different. After joint application, the dissipation half-lives of procymidone and carbendazim were 12.9 and 16.0 days, respectively, which were about 1.8 times higher than those after individual application. Furthermore, the final residues under joint application condition were 1.8–3.5 times higher than those under individual application condition. The joint application decreased the dissipation rates of procymidone or carbendazim in strawberries, and increased the final residue concentrations. The dietary intake risks of procymidone and carbendazim (whether applied individually or jointly) were no higher than 0.12, which were acceptable for human health. This work would shed a light for the guidance of the joint application and risk assessment of the typical fungicides in strawberry.

Application of indigenous honeybees in dispersing Trichoderma harzianum spores for control of the strawberry grey mould

ABSTRACT The prevention and control of strawberry grey mould are typically done via the traditional application of fungicides or spraying of fungal spores. However, the exploitation of honeybees for dissemination of biocontrol agents during pollination is more environment-friendly. To evaluate the feasibility of this novel strategy in dispersing fungal spores on strawberry plants, we first investigated the toxicological effect of Trichoderma harzianum spores on the eastern honeybee, Apis cerana cerana. Then, we evaluated the dissemination efficiency of spore powder, the optimal type and dilution ratio of dispersants, and the efficacy of fungal control in a strawberry greenhouse experiment. The results revealed that no acute oral toxicity/ low contact toxicity of T. harzianum on A. cerana cerana. The number of spores carried by bees reached maximum after a three-minute contact between the bees and T. harzianum spore powder, and the number of spores released by the bees was maximum after five minutes. We demonstrated that the application of dispersants, such as wheat flour, could mitigate the decline in the spore carrying capacity of bees caused by high humidity levels. Greenhouse experiments showed that bees could successfully deliver the spores to strawberry petals. The average number of spores deposited on strawberry flowers was 1.31×10 6 CFU/flower, which was effective in controlling the grey mould in the field. Our study provides novel insights into the application of indigenous bee species to disseminate T. harzianum spore powder to control and prevent the strawberry grey mold, under both laboratory and greenhouse conditions.

Dissipation, accumulation and risk assessment of fungicides after repeated spraying on greenhouse strawberry

Repeated spraying of fungicides is a common phenomenon in greenhouse strawberry cultivation, and the continuous harvest of strawberries makes them prone to contamination by accumulated fungicides. Despite this, very few residue safety assessments of fungicides on greenhouse strawberries are conducted after repeated spraying of fungicides, and no research exists on fungicide dissipation and accumulation mechanism. Therefore, the present study investigated the dissipation and accumulation of four fungicides (pyraclostrobin, pyrimethanil, procymidone, and cyprodinil) after two typical repeated sprayings (a single fungicide repeated spraying and two fungicides sprayed using an alternate repeated technique). The half-life of pyraclostrobin after three single repeated sprayings was 18 d; however, its average half-life decreased to 9 d after alternate repeated spraying with cyprodinil. The shortened half-life may be attributed to cyprodinil water solution washing during alternate repeated spraying. The other three fungicides showed similar half-lives after single and alternate repeated spraying, following the order of cyprodinil (12 d and 10 d) > procymidone (11 d and 10 d) > pyrimethanil (6 d and 7 d). The octanol-water partition coefficient was a more efficient indicator of the half-life order of the fungicides than vapor pressure and water solubility. Pyraclostrobin showed the highest deposition efficiency but negligible residue accumulation; further, the residue accumulation of the four fungicides followed the order of procymidone > cyprodinil > pyrimethanil > pyraclostrobin after both single and alternate repeated spraying. A safety assessment demonstrated that the maximum number of times cyprodinil could be sprayed after single spraying was one; however, this number doubled after alternate spraying. The risk of exceeding the maximum residue limits of the fungicides on greenhouse strawberries decreased; however, the combined dietary risks of fungicides after alternate spraying might be high. Alternate repeated spraying of procymidone and pyrimethanil may be the optimal repeated spraying combination for greenhouse strawberries.

Analyses of Work Efficiency of a Strawberry-Harvesting Robot in an Automated Greenhouse

Protected cultivation systems such as greenhouses are becoming increasingly popular globally and have been adopted because of unpredictable climatic conditions and their ability to easily control micro- and macroenvironments. However, limitations such as hazardous work environments and shortages in labor are major concerns for agricultural production using these structures. This has led to the development and adoption of robotic systems. For the efficient use of robots in protected cultivation systems, we formulate the work efficiency problem and model a three-dimensional standard strawberry greenhouse to analyze the effectiveness of a strawberry-harvesting robot compared to different levels of human workforce (experienced, average, and beginner). Simulations are conducted using Quest software to compare the efficiency of different scenarios of robotics to humans. Different methods of improvement from battery capacity and charge rate to harvesting speed are investigated and optimal conditions are recommended. The average hourly production of the robot is about five times lower than that of skilled workers. However, robots are more productive due to their ability to work around the clock. Comparative analyses show that a reduction in harvesting time per strawberry from 3 to 1 s would result in an increase in daily production from 347.93 to 1021.30 kg. This would lead to a five-fold increase in comparison to present daily production. A 10% improvement in battery charge time would result in the battery capacity gaining two extra hours from the current 10 h and would cut the current 2 h needed for charge to 1 h. This paper proposes an operation process and suggestions for changes needed for improving the work efficiency of robots in a greenhouse. This could be extended to other crops and greenhouses.

Acaricide resistance status and identification of resistance mutations in populations of the two-spotted spider mite Tetranychus urticae from Ethiopia.

The intensive use of pesticides is a common practice for the management of the two-spotted spider mite, Tetranychus urticae, in greenhouses and field farms of Ethiopia. However, incidence of resistance and possible resistance mechanisms in T. urticae populations from Ethiopia have not yet been studied. Here, we assessed the toxicity of various acaricides-bifenazate, abamectin, emamectin benzoate, profenofos, fenbutatin oxide, fenpyroximate, amitraz and chlorfenapyr-on T. urticae populations sampled from six flower greenhouse farms, three strawberry greenhouse farms, one field-grown vegetable farm and two wild populations. In parallel, all populations were screened for known target-site mutations. All tested populations were fully susceptible to bifenazate, abamectin, emamectin benzoate and profenofos, but resistant against fenbutatin oxide and fenpyroximate. Four populations showed considerable levels of resistance against amitraz and one population was resistant to chlorfenapyr. Several target-site mutations were identified in the tested populations, including G119S, A201S, T280A, G328A and F331W/C/Y in acetylcholinesterase and the F1538I and L1024V mutation in the voltage-gated sodium channel. The F1538I mutation was found in eight out of 12 populations, whereas the L1024V mutation was only found in two populations. The H92R mutation in the PSST subunit of complex I and the I1017F mutation in chitin synthase 1 was detected in half of the tested populations. The G326E and I321T mutations in the glutamate-gated chloride channel 3 were also detected, but more rarely, whereas mitochondrial cytochrome b mutations were not detected. The current study revealed multiple resistance patterns in Ethiopian T. urticae populations and together with the wide presence of target-site mutations, calls for the wise use of acaricides in the management of T. urticae in Ethiopia.

Evaluation of four soilless substrate systems for greenhouse strawberry production

Evaluation of four soilless substrate systems for greenhouse strawberry production