scholarly journals Studies on Photosyntthesis in Rice Plant : XII. The effect of three major nutrient element supply upon the photosynthetic activity of rice leaves

1959 ◽  
Vol 28 (2) ◽  
pp. 184-187 ◽  
Author(s):  
Yoshio MURATA ◽  
Akio OSADA
Keyword(s):  
Rice Plant ◽  
Photosynthetic Activity ◽  
Nutrient Element ◽  
Major Nutrient ◽  
Rice Leaves

scholarly journals Relationships between Photosynthetic Activity and the Amounts of Rubisco Activase and Rubisco in Rice Leaves from Emergence through Senescence.

1996 ◽  
Vol 65 (2) ◽  
pp. 296-302 ◽  
Author(s):  
Hiroshi FUKAYAMA ◽  
Naotsugu UCHIDA ◽  
Tetsushi AZUMA ◽  
Takeshi YASUDA
Keyword(s):  
Photosynthetic Activity ◽  
Rubisco Activase ◽  
Rice Leaves

Interactions of rice seedlings with bacteria isolated from rice roots

1999 ◽  
Vol 26 (6) ◽  
pp. 521 ◽  
Author(s):  
J. Prayitno ◽  
J. Stefaniak ◽  
J. McIver ◽  
J. J. Weinman ◽  
F. B. Dazzo ◽  
...  
Keyword(s):  
Plant Growth ◽  
Rice Plant ◽  
Lateral Roots ◽  
Growth Conditions ◽  
The Philippines ◽  
Rice Cultivars ◽  
Rice Seedlings ◽  
Bacterial Strains ◽  
Pressure Infiltration ◽  
Rice Leaves

The interactions between two groups of rice endophytic bacterial strains and several rice cultivars were investigated. Various strains of Rhizobium leguminosarum bv. trifolii, originally isolated from rice plants grown in Egypt, comprise one group. The second group of bacterial strains was isolated from rice cultivars grown in the Philippines. Inoculation experiments with rice seedlings showed that specific isolates of these rice-associating bacteria could either promote, inhibit, or have no influence on rice plant growth. Furthermore, these growth effects were greatly influenced by the environmental growth conditions used. Studies to examine root colonisation patterns, using Rhizobium strains into which a plasmid expressing the green fluorescent protein has been placed, showed that the bacteria preferentially colonise rice seedling surfaces mainly in clumps. This occurs along grooves on the rice root surface, or at the emerging lateral root zones and at the root tips. However, rhizobia could also colonise intercellularly in lateral roots formed on the main roots near the culm region of the seedling. Under the growth conditions used, this occurred most frequently with strain R4 which multiplied and migrated to form long lines of individual bacterial cells along the inside of growing lateral roots. A bioassay to measure bacterial multiplication in rice leaves showed that the rice-associating strains can multiply and survive at different rates within these tissues. They were not, however, detected migrating into other parts of the leaf from the original site of pressure-infiltration, indicating that the bacterial ability to migrate within the lateral roots is not matched by a similar capacity in rice leaves. We suggest that some of these rice-associating bacteria possess important genes that enhance their ability to intimately colonise niches on and within rice tissues, and promote rice plant growth.

scholarly journals A Tactile Method for Rice Plant Recognition Based on Machine Learning

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5135
Author(s):  
Xueshen Chen ◽  
Yuanyang Mao ◽  
Xu Ma ◽  
Long Qi
Keyword(s):  
Rice Plant ◽  
Tactile Sensor ◽  
Box Dimension ◽  
Neural Network Classifier ◽  
Tactile Information ◽  
Rice Plants ◽  
Vibration Data ◽  
Plant Recognition ◽  
Physical Touch ◽  
Rice Leaves

Accurate and real-time recognition of rice plants is the premise underlying the implementation of precise weed control. However, achieving desired results in paddy fields using the traditional visual method is difficult due to the occlusion of rice leaves and the interference of weeds. The objective of this study was to develop a novel rice plant recognition sensor based on a tactile method which acquires tactile information through physical touch. The tactile sensor would be mounted on the paddy field weeder to provide identification information for the actuator. First, a flexible gasbag filled with air was developed, where vibration features produced by tactile and sliding feedback were acquired when this apparatus touched rice plants or weeds, allowing the subtle vibration data with identification features to be reflected through the voltage value of an air-pressured sensor mounted inside the gasbag. Second, voltage data were preprocessed by three algorithms to optimize recognition features, including dimensional feature, dimensionless feature, and fractal dimension. The three types of features were used to train and test a neural network classifier. To maximize classification accuracy, an optimum set of features (b (variance), f (kurtosis), h (waveform factor), l (box dimension), and m (Hurst exponent)) were selected using a genetic algorithm. Finally, the feature-optimized classifier was trained, and the actual performances of the sensor at different contact positions were tested. Experimental results showed that the recognition rates of the end, middle, and root of the sensor were 90.67%, 98%, and 96% respectively. A tactile-based method with intelligence could produce high accuracy for rice plant recognition, as demonstrated in this study.

scholarly journals Utilization of piper caninum blume leaf extract combined with compost to suppress blast disease and increase the growth of local rice Bali (Oryza sativa) in Vivo

2019 ◽  
Vol 3 (2) ◽  
pp. 33-40
Author(s):  
Ni Luh Suriani
Keyword(s):  
Growth Hormone ◽  
Rice Plant ◽  
Leaf Extract ◽  
Block Design ◽  
Organic Fertilizer ◽  
Blast Disease ◽  
Control Soil ◽  
Randomized Block Design ◽  
Rice Leaves

Blast disease is a disease that attacks rice plants. The control of this disease is still using a synthetic fungicide that is very harmful to the environment. The purpose of this research is to know the effect of the combination of Piper caninum leaf extract with compost to blast disease and rice plant growth. This research was conducted in vivo in the glasshouse of Senganan village, Penebel Tabanan. Bali. This study used a randomized block design. In this study, the extracts were combined with organic fertilizer which was made by biotechnology stater starmic ok. Fo = control (soil 100%). F1= (soil 90% + compost 10% + extract 0,5%) .F2 = (soil 80% + compost 20% + extract 1%) F3 = (soil 70% + 30% + extract 1.5%). F4 = (soil 60% + compost 40% + 2% extract), do repeat 4 times. The results show that the formulas F3 effectively reduce the intensity of blast disease by inhibition of 79.09%, significantly affect the number of rice leaves, and the number of rice tillers increases but in treatment, F4 decreased. The height of the rice plant from F1 to F4 decreases, it is great because it reduces the fall when the rice is fruitfull. This is due to the disruption of growth hormone by the extract.

scholarly journals Studies on CO2 Uptake and CO2 Evolution in Each Part of Crop Plants : II. Photosynthetic activity in the leaf sheath and ear of rice plant

1975 ◽  
Vol 44 (3) ◽  
pp. 287-292 ◽  
Author(s):  
Yukindo TSUNO ◽  
Touru SATO ◽  
Hiroshi MIYAMOTO ◽  
Norimasa HARADA
Keyword(s):  
Rice Plant ◽  
Photosynthetic Activity ◽  
Leaf Sheath ◽  
Crop Plants ◽  
Co2 Uptake ◽  
Co2 Evolution
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