scholarly journals Studies on the transplantation of upland rice plant : II On the root systems and the characters of rice grains

1953 ◽  
Vol 22 (1-2) ◽  
pp. 65-66 ◽  
Author(s):  
Seiko SUGAWARA ◽  
Takashi INOUE
2021 ◽  
Vol 2 (5) ◽  
pp. 1885-1899
Author(s):  
Asri Razad ◽  
Gusti Ayu Kade Sutariati ◽  
Tresjia C Rakian ◽  
Jendri Mamangkey ◽  
Marina Silalahi

Research was performed to evaluate the effect of biopriming technique using indigenous rhizobacteria in improving local upland rice from Southeast Sulawesi. Randomized group design was applied in this research using factorial pattern consisting of 2 factors. The first factor was upland rice cultivars consisting of 2 (two) levels of Paebiu Kolopua (V1) and Pae Wuna (V2) cultivars. Meanwhile, the second factor was rhizobacteria isolates, consisting of 4 (four) levels, those are without rhizobacteria treatment (R0), KNS11 isolate (R1), KLKU02 isolate (R2) and KNW11 isolate (R3). Research results indicated that interaction between Paebiu Kolopua cultivar and KLKU02 isolate treatment significantly affected plants height with 29.22% improvement and the amount of rice per panicle with 176.33% improvement compared to the control. Therefore, KLKU02 isolate can be recommeded as the best treatment to improve the production and outcome of local upland rice plant.


2020 ◽  
Author(s):  
Trung Hieu Mai ◽  
Pieterjan De Bauw ◽  
Andrea Schnepf ◽  
Roel Merckx ◽  
Erik Smolders ◽  
...  

AbstractBackground and aimsUpland rice is often grown where water and phosphorus (P) are limited and these two factors interact on P bioavailability. To better understand this interaction, mechanistic models representing small-scale nutrient gradients and water dynamics in the rhizosphere of full-grown root systems are needed.MethodsRice was grown in large columns using a P-deficient soil at three different P supplies in the topsoil (deficient, suboptimal, non-limiting) in combination with two water regimes (field capacity versus drying periods). Root architectural parameters and P uptake were determined. Using a multiscale model of water and nutrient uptake, in-silico experiments were conducted by mimicking similar P and water treatments. First, 3D root systems were reconstructed by calibrating an architecure model with observed phenological root data, such as nodal root number, lateral types, interbranch distance, root diameters, and root biomass allocation along depth. Secondly, the multiscale model was informed with these 3D root architectures and the actual transpiration rates. Finally, water and P uptake were simulated.Key resultsThe plant P uptake increased over threefold by increasing P and water supply, and drying periods reduced P uptake at high but not at low P supply. Root architecture was significantly affected by the treatments. Without calibration, simulation results adequately predicted P uptake, including the different effects of drying periods on P uptake at different P levels. However, P uptake was underestimated under P deficiency, a process likely related to an underestimated affinity of P uptake transporters in the roots. Both types of laterals (i.e. S- and L-type) are shown to be highly important for both water and P uptake, and the relative contribution of each type depend on both soil P availability and water dynamics. Key drivers in P uptake are growing root tips and the distribution of laterals.ConclusionsThis model-data integration demonstrates how multiple co-occurring single root phene responses to environmental stressors contribute to the development of a more efficient root system. Further model improvements such as the use of Michaelis constants from buffered systems and the inclusion of mycorrhizal infections and exudates are proposed.


1970 ◽  
Vol 23 (2) ◽  
pp. 94-97
Author(s):  
Hirokadzu Taira

2020 ◽  
Vol 126 (4) ◽  
pp. 789-806 ◽  
Author(s):  
Pieterjan De Bauw ◽  
Trung Hieu Mai ◽  
Andrea Schnepf ◽  
Roel Merckx ◽  
Erik Smolders ◽  
...  

Abstract Background and Aims Upland rice is often grown where water and phosphorus (P) are limited. To better understand the interaction between water and P availability, functional–structural models that mechanistically represent small-scale nutrient gradients and water dynamics in the rhizosphere are needed. Methods Rice was grown in large columns using a P-deficient soil at three P supplies in the topsoil (deficient, sub-optimal and non-limiting) in combination with two water regimes (field capacity vs. drying periods). Root system characteristics, such as nodal root number, lateral types, interbranch distance, root diameters and the distribution of biomass with depth, as well as water and P uptake, were measured. Based on the observed root data, 3-D root systems were reconstructed by calibrating the structural architecure model CRootBox for each scenario. Water flow and P transport in the soil to each of the individual root segments of the generated 3-D root architectures were simulated using a multiscale flow and transport model. Total water and P uptake were then computed by adding up the uptake by all the root segments. Key Results Measurements showed that root architecture was significantly affected by the treatments. The moist, high P scenario had 2.8 times the root mass, double the number of nodal roots and more S-type laterals than the dry, low P scenario. Likewise, measured plant P uptake increased >3-fold by increasing P and water supply. However, drying periods reduced P uptake at high but not at low P supply. Simulation results adequately predicted P uptake in all scenarios when the Michaelis–Menten constant (Km) was corrected for diffusion limitation. They showed that the key drivers for P uptake are the different types of laterals (i.e. S- and L-type) and growing root tips. The L-type laterals become more important for overall water and P uptake than the S-type laterals in the dry scenarios. This is true across all the P treatments, but the effect is more pronounced as the P availability decreases. Conclusions This functional–structural model can predict the function of specific rice roots in terms of P and water uptake under different P and water supplies, when the structure of the root system is known. A future challenge is to predict how the structure root systems responds to nutrient and water availability.


2021 ◽  
Vol 926 (1) ◽  
pp. 012022
Author(s):  
E D Mustikarini ◽  
G I Prayoga ◽  
R Santi ◽  
N P E Sari

Abstract Upland rice with a high yield becomes a priority in rice breeding activities. High yield can be obtained if the rice plant has lodging resistance. This study aims to determine the yield and selection of F7 upland rice lines as the candidate for superior varieties with lodging resistance. The research was conducted in ultisol land, Bangka Regency, Bangka Belitung Islands Province. The study used the experiment method with randomized block design (RBD) with three replications. The treatment used F7 upland rice lines and 5 genotypes as check varieties. The five of F7 lines used were 19I-06-09-23-03, 21B-57-21-21-23, 23F-04-10-18-18, 23A-56-20-07-20 and 23A-56-22-20-05. The five check viarieties used were Danau Gaung, Inpago 8, Inpago 12, Rindang and Situ Patenggang. Data was analyzed using ANOVA and Least Significant Increase (LSI) test. The results showed that 2 lines had a higher yield than the comparison genotypes were 23A-56-22-20- 05 and 23F-04-10-18-18. Hence, the recommended lines as the candidates for superior varieties with lodging resistance are 23A-56-22-20-05 for red rice type and 23F-04-10-18-18 for white rice type.


1965 ◽  
Vol 64 (1) ◽  
pp. 15-18 ◽  
Author(s):  
B. A. C. Enyi

The soil used in this experiment was a sandy clay low in phosphorus and in nitrogen from the College Farm. A (3 x 3 x 2) factorial experiment with three replications using an upland rice variety, Agbede, was carried out in the open on the College Farm between January and May 1963. Ten-litre plastic buckets 25 cm. deep and holding 11 kg. of soil, which was thoroughly mixed and the pH brought to 6.0 by liming, were used in growing the plants. These buckets were left standing on the ground, and there was no rain during the experimental period.


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