CONTEXTUAL CLASSROOM EXPERIENCE THROUGH GENRE BASED APPROACH

This paper is formulated to elaborate the understanding ofGenre Based Approach as the part of Systemic Functional Lin-guistic infl uence. SFL has been developed by Halliday that focuson function and meaning as the core aspects. Because of its infl u-ence in linguistic, SFL gives inspiration for inventing GBA, as thekind of approach in language learning. The aims of the study areto explore the base understanding of GBA from its historical anddevelopment perspective. In addition, the paper is trying to analyzethe main points of GBA and its impact to improve learner skills inclassroom activity for some skills, they are writing, reading, speakingand listening

Contribution of morpho-physiological attributes in determining the yield of mungbean

Field experiments were conducted in 2006 and 2007 under subtropical conditions to investigate the variations in growth and reproductive characters, and yield attributes for selection of important source and sinks characters using correlation and path coefficient analyses in 45 mungbean genotypes. Large genetic variability existed in source characters viz., leaf area index (LAI) (1.22 to 3.80) and sink characters viz., number of racemes plant-1 (6.30 to 22.9), flowers plant-1 (18.1 to 51.9) and pods plant-1 (9.6 to 22.1). Genotypic correlation study revealed that among the traits investigated, LAI was the most important source that determined total dry mass (TDM) yield, and reproductive characters like number of racemes, flowers and pods plant-1 were the most important sinks that determined seed yield. Contrarily, reproductive efficiency (RE, % pod set to opened flowers) did not show significant relationship with pod number and seed yield, indicating that selection of high yield based on RE may be misleading. Path coefficient analysis further revealed that number of flowers, pods and 100-seed weight constituted central important sinks which exerted direct positive influence on seed yield. The results indicated that pod yield could be increased by increased raceme and flower production, while seed yield could be increased by increasing pod production. High yielding genotypes, in general, possessed higher earlier mentioned source (LAI) and sink (flower and pod number) characters which resulted in higher seed yield in mungbean. This information could be exploited in the future plant breeding programmes.Key words: Source-sink, correlation, path analysis, mungbean

Effect of Temperature on Yield and Some Agronomic Characters of Spring Wheat (Triticum aestivum L.) Genotypes

Eight modern wheat varieties (viz., Sourav, Gourab, Shatabdi, Sufi, Bijoy, Prodip, BARI Gom-25 and BARI Gom-26) were evaluated to find out the suitable variety for optimum and late sown condition, to find out heat tolerant and heat sensitive variety and to find out the optimum sowing time for a specific variety. The experiment was conducted in the research farm of Wheat Research Center (25°38´ N, 88°41´ E and 38.20 m above sea level.), Bangladesh, under eight sowing times (viz., 8 Nov., 15 Nov., 22 Nov., 29 Nov., 6 Dec., 13 Dec., 20 Dec. and 27 Dec.). Results showed that wheat sown in November 22 to December 20 was significantly better compared to November 08, 15 and December 27, from the studied aspects of yield and yield components. Considering overall sowing performance of all genotypes Shatabdi is the best, followed by BARI Gom-26 (2nd), Sourav (3rd), Prodip (4th), Bijoy (5th), Gourab (6th), Sufi (7th) and BARI Gom-25 (least). In extremely heat stress (November 08 and December 27) condition Prodip was found to be heat sensitive genotype (yield reduction 41.18 and 28.92%), followed by BARI Gom-26 (yield reduction 41.15 and 22.73%). Both in too early and very late heat stress conditions, genotypes Sourav and BARI Gom-25 were found to be heat tolerant. In very early (November 08), variety Sourav (yield reduction 20.47%) is recommended, followed by BARI Gom-25 (yield reduction 27.91%) and in very late (December 27), Sufi is the best (yield reduction 8.60%), followed by Bijoy (yield reduction 11.05%). DOI: http://dx.doi.org/10.3329/ijarit.v1i1-2.13932 Int. J. Agril. Res. Innov. & Tech. 1 (1&2): 44-54, December, 201

Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning

Lane change in dense traffic is considered a challenging problem that typically requires the recognition of an opportune and appropriate opportunity for maneuvers. In this work, we propose a chance-aware lane-change strategy with high-level model predictive control (MPC) through curriculum reinforcement learning (CRL). The embodied MPC in our framework is parameterized with augmented decision variables, where full-state references and regulatory factors concerning their relative importance are introduced. Furthermore, to improve the convergence speed and ensure a high-quality policy, effective curriculum design is integrated into the reinforcement learning (RL) framework with policy transfer and enhancement. Then the proposed framework is deployed to numerical simulations towards dense and dynamic traffic. It is noteworthy that, given a narrow chance, the proposed approach generates high-quality lane-change maneuvers such that the vehicle merges into the traffic flow with a high success rate of 96%

Effect of Lime, Magnesium and Boron on Wheat (Triticum aestivum L.) and Their Residual Effects on Mungbean (Vigna radiata L.)

The study was carried out during 2007-2008 season in the research field of Wheat Research Centre, Bangladesh Agricultural Research Institute, Dinajpur to know the effect of lime, Magnesium (Mg) and Boron (B) on yield and yield components of wheat and also their residual effect on mungbean. The geographical position of the area is between 25°62´ N, 88°63´ E and 38.20 meter above sea level. The experiment was laid out in Randomized Complete Block Design with three replications, both in wheat and mungbean. Treatments for wheat were (I) recommended fertilizer + Mg + B, (II) recommended fertilizer + lime + B + Mg, (III) recommended fertilizer + lime + Mg, (IV) recommended fertilizer + lime + B and (V) control (Only recommended fertilizer) and for mungbean were (I) recommended fertilizer + Mg + B, (II) 75% of recommended dose, (III) recommended fertilizer + B, (IV) recommended fertilizer + Mg and (V) control (without fertilizers). Results showed that the highest yield and yield components of wheat were recorded from recommended fertilizers + lime + B + Mg treated plot and the second highest were recorded from recommended fertilizers + lime + Mg treated plot. The lowest was recorded in control plot (only recommended fertilized). In case of mungbean the highest was found from recommended fertilizers + B treated plot, this treatment was limed in previously cultivated wheat crop and the lowest was recorded from control plot (without fertilizer). DOI: http://dx.doi.org/10.3329/ijarit.v1i1-2.13923 Int. J. Agril. Res. Innov. & Tech. 1 (1&2): 9-15, December, 201

Learning the References of Online Model Predictive Control for Urban Self-Driving

In this work, we propose a novel learning-based model predictive control (MPC) framework for motion planning and control of urban self-driving. In this framework, instantaneous references and cost functions of online MPC are learned from raw sensor data without relying on any oracle or predicted states of traffic. Moreover, driving safety conditions are latently encoded via the introduction of a learnable instantaneous reference vector. In particular, we implement a deep reinforcement learning (DRL) framework for policy search, where practical and lightweight raw observations are processed to reason about the traffic and provide the online MPC with instantaneous references. The proposed approach is validated in a high-fidelity simulator, where our development manifests remarkable adaptiveness to complex and dynamic traffic. Furthermore, sim-to-real deployments are also conducted to evaluate the generalizability of the proposed framework in various real-world applications. Also, we provide the open-source code and video demonstrations at the project website: https://latent-mpc.github.io/

Isolation and selection of Bradyrhizobium from the root nodules of indigo plants (Indigofera tinctoria L.)

This research was conducted from 2004 to 2005 to isolate and select Bradyrhizobium from the root nodules of indigo plants (Indigofera tinctoria L.). For isolation of Bradyrhizobium, root nodules were collected from indigo plants. Fourteen Bradyrhizobium isolates were identified depending on colony, morphological and biochemical characteristics. Out of fourteen isolates, six (HSTU-IR2, HSTU-IR3, HSTU-IR4, HSTU-IR9, HSTU-IR10 and HSTU-IR14) were found promising with respect to nodulation, shoots and roots weights and N fixation by the indigo plants grown inside the Leonard Bottle Jar Assembly (LBJA).Key words: Bradyrhizobium, isolation, selection, root nodules, indigo plants

Effect of salt stress on germination and early seedling growth of rice (Oryza sativa L.)

The response of twelve rice varieties against six salinity levels (0, 4, 8, 12, 16 and 20 dS m-1) were studied at germination and early seedling stages. Data were analyzed using SAS and means were separated by LSD for final germination percentage (FGP), speed of germination (SG), germinationenergy percentage (GE%), plumule and radical length and plumule and radical dry weight. Based on dry matter yield reduction, rice varieties were classified as tolerant (T), moderately tolerant (MT), moderately susceptible (MS) or susceptible (S). Germination was completely arrested at 20 dS m-1 salt concentration. Salinity decreased FGP, SG, GE % and led to reduction in shoot and root length and dry weight in all varieties and the magnitude of reduction increased with increasing salinity stress. Ricevarieties MR211, IR20, BR40 and MR232 showed greater salt tolerance during germination (germinated at 12 dS m-1 salinity). However, MR211, MR232 and IR20 performed better based on dry matter yield reduction. The result suggested that MR211, MR232 and IR20 might be used for further study of salinity effect on growth processes and physiological consequences at advanced stage of growth, since salt tolerance of a crop at germination and early seedling stage may not correspond to that at advanced stage