Genetic Analysis of Frost Hardiness Traits in Tuber-Bearing Solanum Species

Valverde, Roberto,Cehn, Tony H.H. 한국식물학회 1999 Journal of Plant Biology Vol.42 No.2

The inheritance of frost hardiness and cold acclimation potential traits was studied in three segregating populations derived from a cross between Solanum commersonii Dun. PI 243503 (cmm) and Solanum cardiophyllum Lindl., PI 184762 (cph), two parental genotypes with contrasting frost hardiness and cold acclimation potential. The levels of frost hardiness and cold acclimation potential were expressed as the LT_50, the temperature at which 50% of the cells in leaf discs were killed, as measured by the ion leakage method, following a controlled freeze test There was considerable variation in both frost hardiness and cold acclimation potential in all three segregating populations (F_1, F_1×cmm, and F_1×cph). Frost hardiness and cold acclimation potential were not correlated, suggesting that these two traits are under independent genetic control. The analysis of generation means indicated that the variation for both traits could be best explained by an additive-dominance model, with additive gene effects the most important Broad-sense heritability was 0.73 and 0.74 in the F_1 population, for frost hardiness and cold acclimation potential, respectively, and was 0.85 for either trait in the F_1×cmm population, indicating that these two traits are highly inheritable. Our results suggest that ft should be possible to incorporate the frost hardiness and cold acclimation traits from S. commersonii into cultivated potato species.

Optimization of Face Detection Based on MTCNN Using Automated Model Compression Method

Erick Valverde,Angela Caliwag,Jonghun Kwon,Wansu Lim 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.2

The in-depth study of deep learning algorithms across a wide range of applications make it possible to have efficient computer vision tasks today including face detection and alignment such as MTCNN. However, as the neural networks become deeper and complicated, higher computer resources are required to implement it with enough efficiency, making these networks increasingly difficult to deploy in edge AI devices for real-time applications. In this paper, we study reducing the computational and power consumption requirements of MTCNN using an automated network compression method while keeping negligible losses relative to its original state. This optimization approach is effective in minimizing the complexity of convolutional neural networks by introducing sparsity and converting each parameter in the architecture to represent fewer bits integers. The effectiveness of the compression method on MTCNN is demonstrated in NVIDIA Jetson Nano device which shows better performance as compared with the available MTCNN modules from different open-source libraries.

Effect of Herbicide Combinations on Bt-Maize Rhizobacterial Diversity

( Jose R Valverde ),( Silvia Marin ),( Rafael P Mellado ) 한국미생물 · 생명공학회 2014 Journal of microbiology and biotechnology Vol.24 No.11

Reports of herbicide resistance events are proliferating worldwide, leading to new cultivation strategies using combinations of pre-emergence and post-emergence herbicides. We analyzed the impact during a one-year cultivation cycle of several herbicide combinations on the rhizobacterial community of glyphosate-tolerant Bt-maize and compared them to those of the untreated or glyphosate-treated soils. Samples were analyzed using pyrosequencing of the V6 hypervariable region of the 16S rRNA gene. The sequences obtained were subjected to taxonomic, taxonomy-independent, and phylogeny-based diversity studies, followed by a statistical analysis using principal components analysis and hierarchical clustering with jackknife statistical validation. The resilience of the microbial communities was analyzed by comparing their relative composition at the end of the cultivation cycle. The bacterial communites from soil subjected to a combined treatment with mesotrione plus s-metolachlor followed by glyphosate were not statistically different from those treated with glyphosate or the untreated ones. The use of acetochlor plus terbuthylazine followed by glyphosate, and the use of aclonifen plus isoxaflutole followed by mesotrione clearly affected the resilience of their corresponding bacterial communities. The treatment with pethoxamid followed by glyphosate resulted in an intermediate effect. The use of glyphosate alone seems to be the less aggressive one for bacterial communities. Should a combined treatment be needed, the combination of mesotrione and s-metolachlor shows the next best final resilience. Our results show the relevance of comparative rhizobacterial community studies when novel combined herbicide treatments are deemed necessary to control weed growth.

Positive inotropic activity induced by a dehydroisoandrosterone derivative in isolated rat heart model

L. Figueroa-Valverde,F. Dı´az-Cedillo,E. Garcı´a-Cervera,E. Pool Go´mez,M. Lo´pez-Ramos,M. Rosas-Nexticapa,R. Martinez-Camacho 대한약학회 2013 Archives of Pharmacal Research Vol.36 No.10

Experimental studies indicate that some steroidderivatives have inotropic activity; nevertheless, there isscarce information about the effects of the dehydroisoandrosteroneand its derivatives at cardiovascular level. Inaddition, to date the cellular site and mechanism of actionof dehydroisoandrosterone at cardiovascular level is veryconfusing. In order, to clarify those phenomena in this study,a dehydroisoandrosterone derivative was synthesized withthe objective of to evaluate its activity on perfusion pressureand coronary resistance and compare this phenomenon withthe effect exerted by dehydroisoandrosterone. The Langendorfftechnique was used to measure changes on perfusionpressure and coronary resistance in an isolated rat heartmodel in absence or presence of dehydroisoandrosterone andits derivative. Additionally, to characterize the molecularmechanism involved in the inotropic activity induced bydehydroisoandrosterone derivative was evaluated by measuringleft ventricular pressure in absence or presence offollowing compounds; flutamide, prazosin, metoprolol andnifedipine. The results showed that dehydroisoandrosteronederivative significantly increased the perfusion pressure andcoronary resistance in comparison with the control conditionsand dehydroisoandrosterone. Additionally, other dataindicate that dehydroisoandrosterone derivative increase leftventricular pressure in a dose-dependent manner [1 9 10-9–1 9 10-4 mmol]; nevertheless, this phenomenon was significantlyinhibited by nifedipine at a dose of 1 9 10-6mmol. In conclusion, these data suggest that dehydroisoandrosteronederivative induces positive inotropic activitythrough of activation the L-type calcium channel.

Is herbicide resistant rice the ultimate solution for controlling weedy rice? Experiences from the Americas

Bernal E. Valverde 한국잡초학회 2013 한국잡초학회 별책(학술대회 초록집) Vol.33 No.1

Weedy rice, a global problem Difficulties in controlling weedy rice Herbicide resistant rice Literature Cited

Performance Analysis of A Deep Learning-Based Facial Emotion Recognition System on Edge Device

Erick C. Valverde(에릭),Miracle Udurume,Wansu Lim(임완수) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.6

Quantifying herbicide dose-response and resistance in <i>Echinochloa</i> spp. by measuring root length in growth pouches

Zhang, C. J.,Lim, S. H.,Kim, J. W.,Song, J. S.,Yook, M. J.,Nah, G.,Valverde, B. E.,Kim, D. S. Canadian Science Publishing 2015 Canadian journal of plant science. Revue canadienn Vol.95 No.6

<P> Zhang, C. J., Lim, S. H., Kim, J. W., Song, J. S., Yook, M. J., Nah, G., Valverde, N. E. and Kim, D. S. 2015. Quantifying herbicide dose-response and resistance in Echinochloa spp. by measuring root length in growth pouches. Can. J. Plant Sci. 95: 1181-1192. The aim of the presented study was to develop a bioassay for rapid diagnosis of herbicide dose-response and resistance in Echinochloa. Pre-germinated seeds of Echinochloa spp. were incubated in growth pouches (18 cm×16.5 cm) containing herbicide solutions in a range of concentrations. Shoot and root lengths were measured after 6 d of incubation. Dose-responses estimated by measuring root lengths in the growth pouches were well-described by the log-logistic dose-response model and similar to those estimated by a whole-plant assay. Accurate dose-response curves were successfully generated for several herbicides with different modes of action, suggesting that the growth pouch method can be used for herbicide bioassays. The suitability of the growth pouch method for rapid diagnosis of acetyl coenzyme-A carboxylase (ACCase) and acetolactate synthase (ALS) inhibitor resistance in Echinochloa spp. was also tested. For cyhalofop-butyl, resistant and susceptible biotypes were discriminated at 180-300 mg a.i. L<SUP>−1</SUP> and 80-120 mg a.i. L<SUP>−1</SUP> for barnyardgrass (E. crus-galli) and late watergrass (E. oryzicola), respectively. For penoxsulam, the discriminatory dosage was 350-500 mg a.i. L<SUP>−1</SUP> for barnyardgrass and 650-1000 mg a.i. L<SUP>−1</SUP> for late watergrass. The method was further used to identify late watergrass biotypes resistant and susceptible to two other ALS inhibitors, azimsulfuron and bispyribac-sodium. Our results show that the growth pouch method can be reliably used in herbicide dose-response studies and to diagnose herbicide resistance in Echinochloa spp., with significant time and cost savings compared with conventional whole-plant assays. </P>

Accessory mental foramen: A rare anatomical variation detected by cone-beam computed tomography

Torres, Marianna Guanaes Gomes,Valverde, Ludmila De Faro,Vidal, Manuela Torres Andion,Crusoe-Rebello, Ieda Margarida Korean Academy of Oral and Maxillofacial Radiology 2015 Imaging Science in Dentistry Vol.45 No.1

The mental foramen is a bilateral opening in the vestibular portion of the mandible through which nerve endings, such as the mental nerve, emerge. In general, the mental foramen is located between the lower premolars. This region is a common area for the placement of dental implants. It is very important to identify anatomical variations in presurgical imaging exams since damage to neurovascular bundles may have a direct influence on treatment success. In the hemimandible, the mental foramen normally appears as a single structure, but there are some rare reports on the presence and number of anatomical variations; these variations may include accessory foramina. The present report describes the presence of accessory mental foramina in the right mandible, as detected by cone-beam computed tomography before dental implant placement.

Virus-like Particles and Cellular Changes in Plants Infected with Sweetpotato Viruses

Sim, Jeong-Gu,Valverde, Rodrigo,Clark, Christopher,Chun, Se-Chul The Korean Society of Plant Pathology 2008 Plant Pathology Journal Vol.24 No.1

Studies with the transmission electron microscope were used to detect and attempt to identify viruses infecting sweetpotato (Ipomoea batatas) and other Ipomoea species. Flexuous-rods, short curved-rods, and spherical virus-like particles were observed in cells of symptomatic plants. Also, various cytopathic changes such as crystals, vesicles, fibril structures, and cylindrical inclusions were observed. The present study showed that some of these cytopathic changes were associated with some viral groups, which might be helpful in diagnosis.

Real-time Multimodal Emotion Recognition Based on Multithreaded Weighted Average Fusion

Miracle Udurume,Erick C. Valverde,Angela Caliwag,김상호,임완수 대한인간공학회 2023 大韓人間工學會誌 Vol.42 No.5

Objective: The previous study explored the use of multimodality for accurate emotion predictions. However, limited research has addressed real-time implementation due to the challenges of simultaneous emotion recognition. To tackle this issue, we propose a real-time multimodal emotion recognition system based on multithreaded weighted average fusion. Background: Emotion recognition stands as a crucial component in human-machine interaction. Challenges arise in emotion recognition due to the diverse expressions of emotions across various forms such as visual cues, auditory signals, text, and physiological responses. Recent advances in the field highlight that combining multimodal inputs, such as voice, speech, and EEG signals, yields superior results compared to unimodal approaches. Method: We have constructed a multithreaded system to facilitate the simultaneous utilization of diverse modalities, ensuring continuous synchronization. Building upon previous work, we have enhanced our approach by incorporating weighted average fusion alongside the multithreaded system. This enhancement allows us to predict emotions based on the highest probability score. Results: Our implementation demonstrated the ability of the proposed model to recognize and predict user emotions in real-time, resulting in improved accuracy in emotion recognition. Conclusion: This technology has the potential to enrich user experiences and applications by enabling real-time understanding and response to human emotions. Application: The proposed real-time multimodal emotion recognition system holds promising applications in various domains, including human-computer interaction, healthcare, and entertainment.