Investigation of Stomata Densities in Pea (Pisum sativum L.) Lines/Cultivars

Bozoğlu, Hatice; Karayel, Reyhan

doi:10.3844/ojbsci.2006.56.61

Cited by 11 publications

(6 citation statements)

References 3 publications

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“…However, wheat is an exception that stomatal density was higher on the upper surface of leaves than on the lower surface of leaves [33]. Among leguminous crops in faba bean [30], and soybean [32] has the more stomatal density in abaxial than adaxial surface, however, alfalfa [28], pea [34], lentil [29], and peanut [35] had more stomatal density in adaxial surface.…”

Section: Discussionmentioning

confidence: 97%

Optimizing the Experimental Method for Stomata-Profiling Automation of Soybean Leaves Based on Deep Learning

Sultana

Park

Choi

et al. 2021

Plants

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Stomatal observation and automatic stomatal detection are useful analyses of stomata for taxonomic, biological, physiological, and eco-physiological studies. We present a new clearing method for improved microscopic imaging of stomata in soybean followed by automated stomatal detection by deep learning. We tested eight clearing agent formulations based upon different ethanol and sodium hypochlorite (NaOCl) concentrations in order to improve the transparency in leaves. An optimal formulation—a 1:1 (v/v) mixture of 95% ethanol and NaOCl (6–14%)—produced better quality images of soybean stomata. Additionally, we evaluated fixatives and dehydrating agents and selected absolute ethanol for both fixation and dehydration. This is a good substitute for formaldehyde, which is more toxic to handle. Using imaging data from this clearing method, we developed an automatic stomatal detector using deep learning and improved a deep-learning algorithm that automatically analyzes stomata through an object detection model using YOLO. The YOLO deep-learning model successfully recognized stomata with high mAP (~0.99). A web-based interface is provided to apply the model of stomatal detection for any soybean data that makes use of the new clearing protocol.

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Section: Discussionmentioning

confidence: 97%

Optimizing the Experimental Method for Stomata-Profiling Automation of Soybean Leaves Based on Deep Learning

Sultana

Park

Choi

et al. 2021

Plants

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“…The low level of stomata density at flush provides a smaller opportunity for spores to enter the plant tissue. The higher the stomata density, the plants tend to be more susceptible to disease (Bozoglu & Karayel, 2006). A large number of stomata will increase the transpira- Anthocyanin Chlorophyll tion process and also affect the capture of CO 2 from the air, so that the chance of entering spores together with the air will be higher.…”

Section: Characteristics Of Flush Color and Stomatamentioning

confidence: 99%

Flush characteristics of several cocoa genotypes different in resistant to vascular streak dieback

Sari

Setyawan

Susilo

et al. 2022

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Vascular streak dieback (VSD) is one of the main diseases on cocoa that can cause a decrease in production and even death on susceptible plants. The use of selection criteria is very important in the selection process at the seedling phase, young plants and even mature plants in order to support the breeding process of resistant varieties. The aim of the study was to determine the characteristics of flush including flush color, stomata characters and duration of flush color change to green or towards mature leaves as one of the selection indicators for VSD resistance in cocoa. The research was conducted at Kaliwining Experimental Station, Indonesian Coffee and Cocoa Research Institute, Jember, Indonesia. Study of flush color and stomata characters was conducted using a randomized complete block design consisting of four cocoa genotypes with different levels of resistance, classified as resistant to VSD disease (Sulawesi 1, PNT 16) and as susceptible (BCL and BL 50). Each clone was repeated three times and each replication consisted of three plant samples. Flush color duration study was carried out on six cocoa genotypes as treatments, three genotypes with resistant to VSD (PNT 16, Scavina 12, Sulawesi 1) and three genotypes as susceptible to VSD (BL 50, BCL, Criollo 22). Each treatment was repeated three times and each replication consisted of three plant samples. The results showed that the resistant genotypes showed a tendency to have lower chlorophyll and anthocyanin content than the susceptible ones. The stomata character in the resistant genotypes was not different than the susceptible ones, however, the resistant genotype showed that the stomata density at flush tended to be lower. The duration of flush color change to mature leaves (green) in resistant genotypes was significantly faster than susceptible genotypes.

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“…The complexity of plant physiology in plant development affecting by stomatal in leaves that responsible in plant life. Brownlee (2001); Bozoglu and Karayel (2006) state that stomatal is the plant organelles that supporting plant life photosynthesis and transpiration. The budwood grafting technique used cocoa buds improving plant production.…”

Section: Success Rate Of Cocoa Plant Growing Used Two Grafting Technologymentioning

confidence: 99%

The Development Technique of Side and Budwood Grafting Improving Production of Cocoa in Mamuju Regency West Sulawesi, Indonesia

Suryani¹

2021

OnLine Journal of Biological Sciences

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The one of human effort increasing productivity and high quality of cocoa is rehabilitating plant using plant materials with high production and resistant clones to Cocoa Pod Borer. The common methods using side and budwood grafting technique. The research objectives is to compare two grafting technology for old cocoa plant, community empowerment in developing side grafting of cocoa plants by means improve technical skills and develop of farmers in Mamuju Regency. The research was conducted for two years (2017 and 2018) used locations of farmers cocoa plantation in Papalang District, Mamuju Regency, West Sulawesi, Indonesia. The research was held in the two stages: (1) Consultation and coordination with relevant agencies such as: Plantation Service, Trade Service, Meteorological Agency at Provincial and District levels used interview techniques and secondary data collection (area size, number of cocoa farmers, production and productivity, sale and selling price, climatic and soil condition). This activity gaining support from the local government and other stakeholders related to cocoa development; (2) testing the cocoa vegetative propagation technique by side and budwood grafting at the farmer and seed breeder level. Observations were made on the percentage of successful plant connections, plant growth, number of seeds produced per unit time and business feasibility analysis used the B/C ratio. The results were showed that the success rate of the connection achieved was actually higher for side grafting than budwood grafting. The success rates of cocoa clones budwood grafting and side grafting at first month were 83.3 and 90.3%, respectively. Until the fourth month after grafting, the percentage of superior cocoa clones can planted in the plantation still more than 80%. The success rate of cocoa growing in second year (2018) at Papalang District after applied by two technical grafting. There are budwood grafting result only around 88.5%. The side grafting was showed the higher success rate about 94.5%. Finding of research at Mamuju, the attack of Cocoa Pod Borer (CPB) Conopomorpha cramerella Snellen, as the main pest insect of cocoa has potential decreasing plant productivity. As the conclusion of the research: (1) the success rates of superior cocoa clones budwood and side grafting at first month were 83.3 and 90.3%, respectively; (2) in the observation of second year (2018), there are budwood grafting result only around 88.5%. The side grafting was showed the higher success rate about 94.5%; (3) need more effort farmer control CPB and avoid insect population outbreak very fast in the plantation. This situation will change by transfer of new technology and more support from the Government for increasing cocoa productivity.

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Investigation of Stomata Densities in Pea (Pisum sativum L.) Lines/Cultivars

Cited by 11 publications

References 3 publications

Optimizing the Experimental Method for Stomata-Profiling Automation of Soybean Leaves Based on Deep Learning

Optimizing the Experimental Method for Stomata-Profiling Automation of Soybean Leaves Based on Deep Learning

Flush characteristics of several cocoa genotypes different in resistant to vascular streak dieback

The Development Technique of Side and Budwood Grafting Improving Production of Cocoa in Mamuju Regency West Sulawesi, Indonesia

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