Received 13 February 2016; accepted 22 March 2016; published 28 March 2016
Rice is grown in over hundred countries and is the primary food for half of the people in the world  . World population is expected to increase to 8.5 billion by 2025 and to maintain the self-sufficiency in rice, an increase of 2% - 3% per year in rice production had to be maintained within limited land  . During past few decades, rice production increased mostly due to adoption of high yielding varieties, increase in irrigated area and use of chemical fertilizers. However, the rate of increase in rice yield is static and if the rate is not possible to increase, severe food shortage is likely to occur in near future. To push up the yield ceiling, sustainable technologies are essential, which are economically viable and environmentally friendly. Cost minimization by saving resources and development of low cost technologies must be considered in rice production. The potential for increased rice production strongly depends on the ability to integrate a better crop management for the different varieties into the existing cultivation system  . Among the crop management practices, judicious application of nitrogenous fertilizer is paramount important for yield enhancement of rice.
Nitrogen, however, is the plant nutrient that is most difficult to manage, especially in a flooded soil environment. The efficiency of applied nitrogen is only 30% - 50%  and in many cases even less than that proportion  . The efficient use of nitrogen is recognized as an important production factor for rice but it has always been a problem to raise the utilization rate of the rice plant and to increase efficiency of absorbed nitrogen for grain production. As nitrogen fertilizer is costly input and its utilization varies from variety to variety, it is important to determine physiology and yield of new variety under variable nitrogen rates. This study, therefore, was aimed to assess growth, productivity and nitrogen use efficiency of new rice variety as affected by different levels of applied nitrogen fertilizers.
2. Material and Methods
2.1. Experimental Site
Field experiment was carried out at the Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh located at 24˚5'N latitude and 90˚16'E longitude. Nearly 26% of the average rainfall (2270 mm) was received from the monsoon during the study period and minimum and maximum temperatures recorded during period of plant growth were 18.1˚C and 34.3˚C respectively. The soil of the experimental site was shallow red terrace under Salna series which is clay in texture  .
Thirty days old seedlings of new rice variety (BUdhan 1) was established on 12 August 2014 with one seedling per hill on well puddled soil. The seedlings were collected from a rice seed bed. The crop was treated with six levels of nitrogen fertilizer viz. 0, 20, 40, 60, 80 and 100 kg N ha−1. The experiment was laid out in randomized complete block design with three replications. The unit plot size was 4 m × 3 m. Planting configuration was 20 cm × 15 cm where plots and blocks were separated by 0.5 m and 1.0 m, respectively. The crop was fertilized with 40-20-20-8 kg PKSZn ha−1 and applied at the time of final land preparation. Nitrogen was applied as per treatments in the form of urea in three equal installments as top dressing. Top dressing of nitrogen was done at 6, 25 and 50 days after the transplanting (DAT). Irrigation, weeding and other agronomic practices were done whenever necessary.
2.2. Data Collection
Data on different growth parameters, yield components and yield were recorded. Plant samples were collected at 10 days interval starting from 15 DAT till maturity. The above ground plant parts were segmented into different components as leaf, stem, leaf sheath and panicle. Leaf area was measured by an automatic leaf area meter (AAM-8, Hayashi Dehnko, Japan) immediately after sampling. The partitioned plant parts were then dried in an oven at 70˚C for 72 hours and weighed. For determination of yield attributes, five hills were selected and number of tiller per hill, number of filled and unfilled grains per panicle and thousand grain weight was measured. The crop was harvested from an area of 4.8 m2 leaving two rows to avoid border effect. The harvested yield was converted into t∙ha−1 at 14% moisture content. Based on dry matter accumulated by crop over times, crop growth rate (CGR) and net assimilation rate (NAR) were calculated by formulas described by Watson  . Nitrogen was determined following the method of Cataldo et al.  while nitrogen use efficiency (NUE) was derived according to Miyoshi  . All collected data were subjected to MSTAT-C software package to perform analysis of variance (ANOVA) and arithmetic means of the treatments were compared by employing least significant difference (LSD) test.
3. Results and Discussion
Growth of new rice variety was ascribed by tiller number, dry matter production, leaf area development, crop growth rate and net assimilation rate under variable nitrogen rates. Data presented in Table 1 showed that nitrogen fertilization rates exerted significant effect on number of tillers of new rice variety. Number of tillers per hill of rice increased over time by gradual elevation of nitrogen fertilizer up to 45 days of transplanting afterwards showed a falling trend. Nevertheless, maximum numbers of tillers per hill (14.44) was produced at 45 DAT when the crop fertilized with 100 kg N ha−1 which was statistically identical to tiller number observed at 80 kg N ha−1. The lowest number of tiller per hill was recorded from control treatment at all sampling dates. Growth promoting effect of N on plant can be explained on the basis of the fact that N supply increases the number and size of meristematic cells which leads to formation of new shoots  . Furthermore, N application is known to increase the levels of cytokinin which affects cell wall extensibility  . It is therefore, logical to speculate that N was involved directly or indirectly in the enlargement and division of new cells and production of tissues which in turn were responsible for increase in growth characteristics particularly tiller numbers of the new rice variety (Table 1). The reduction of tiller number per plant at later growth stage might be due to tiller mortality under intra plant competition for growth resources. These results are in agreement with those obtained by Mesquita and Pinto  and Pathan  .
Results depicted in Figure 1 indicated that leaf area index (LAI) was affected noticeably with adding nitrogen fertilizers till end of the experiment. Leaf area index progressively increased and achieved its maximum value (4.17) at 45 days after transplanting when fertilized with 100 kg N ha−1. At same planting date, the lowest value (1.90) was recorded at control treatment.
Afterwards, all treatments showed a declining trend in leaf area index of the variety. In case of any plant, leaves are important organs which have an active role in photosynthesis. To achieve high yield, maximization of leaf area is an important factor of the crop  . The increasing trend of LAI at higher nitrogen levels (Figure 1) can be attributed to the positive effect of nitrogen on both leaf development and leaf area duration of the variety   . Progressive increment in LAI of the variety up to certain days may be due to the fact that addition of nitrogen triggers increased number of leaves per plant and expansion of individual leaf. The increase in leaf number as well as size due to enough nutrition can be expected in terms of possible increase in nutrient absorption capacity of the variety through better root development and increased translocation of carbohydrates from source to growing grains  . In contrast, the diminishing trend of LAI after flowering might be due to falling of lower leaves. These trends are in agreement with those obtained by Lampayan et al.  , Shibu et al.  and Azarpour et al.  .
Dry matter production by rice plants increased progressively with the advancement of growth stages and reached rice peak at maturity (Figure 2). The dry matter accumulation pattern of rice showed a slow exponential growth, period of linear growth and a period of constant weight. Considering the nitrogen fertilization, the highest dry matter (1138.40 g∙m−2) was obtained when rice plants were fertilized with 100 kg N ha−1 and the lowest
Table 1. Effect of nitrogen levels on number of tillers per hill of new rice variety over the growing period.
Values followed by different letters in column indicate significant differences by LSD test.
Figure 1. Changes in leaf area index (LAI) of new rice variety due to nitrogen levels over the crop growth.
Figure 2. Dry matter accumulation in rice as influenced by nitrogen levels over the crop growth stages.
(19.74 g∙m−2) dry matter was obtained in control treatment. Applied nitrogen increased dry matter production of the variety (Figure 2). Elevated nitrogen supply can boost dry matter content through production of photo-as- similates via leaves which is the center of plant growth during vegetative stage and later distribution of assimilates to the reproductive organs   . Furthermore, dry matter production in rice is significantly related to intercept photosynthetically active radiation  . Low N concentrations in plant leaves have been described as a limiting factor for reducing radiation use efficiency and biomass productivity  resulting lower dry matter production of rice. To develop crop growth models, information on dry matter production and partitioning between diverse plant parts is crucially needed  which conspicuously influenced by nitrogen fertilizer application. Dry matter partitioning to the reproductive organs hinge on number, capacity and activity of physiological sinks  .
Pattern of dry matter partitioning into leaf, stem, leaf sheath and panicle of rice was almost similar across the treatment levels (Figure 3). Dry matter partitioning into leaf, stem and leaf sheath increased up to 65 DAT while panicle dry weight continued to increase till 75 DAT. Dry matter partitioning into vegetative parts decreased after
Figure 3. Pattern of dry matter partitioning to different parts of rice as influenced by time course and nitrogen levels.
65 days after transplanting which indicated remobilization of assimilates from vegetative parts towards developing grain. Application of nitrogen caused significant difference in the pattern of partitioning of dry matter of rice at all the growth stages where low nitrogen fertilizer levels triggers allocation of lowest dry matter to all plant parts.
The trend of crop growth rate under different doses of nitrogen fertilizer illustrated that, crop growth rate of the variety was slow at early growth stage which became peaked at flowering stage and again declined towards maturity stage and showed even negative values (Figure 4). Nevertheless, the lowest crop growth rate (−25.96 g m−2∙day−1) was recorded at 85 days after transplanting when crop was fertilized with 100 kg N ha−1. Contrary, the highest crop growth rate (33.99 g∙m−2∙day−1) was obtained when the crop was fertilized with 100 kg N ha−1 at 45 days after transplanting. Crop growth rate was slower at the earlier stage of the variety. Slow crop growth rate at earlier stages of the rice variety might be due to lower leaf development which act as a main organ of photosynthesis on which growth rate depends  . The phenomena of crop growth rate tend to be low again during later stage and negative towards maturity considerably due to several reasons. These are 1) excessive leaf senescence after reproductive stage diminishing photosynthesis rate   , 2) upkeep of respiration burden increases over time which hinge on biomass and particularly its N content  , 3) ineptitude of the plants to maintain post floral N uptake   or cannot store significant N reserves in other organs excepting leaves
Figure 4. Crop growth rate of rice as influenced by nitrogen level over the growing periods.
 . In this context, application of higher rates of nitrogen can minimize curtail leaf area loss and endure high canopy photosynthetic rates to maintain better crop growth.
Results presented in the Figure 5 showed that net assimilation rate (NAR) of rice variety maintained a declining trend after 25 DAT irrespective of time counts and nitrogen rates. However, the declining trend of NAR was observed steady from 45 to 65 DAT of the variety. Afterwards NAR values of the variety followed the negative trend. The descending even negative trend of NAR might be due to, less productivity of the leaves at the later stage of crop growth  . Furthermore, applied nitrogen levels hasten leaf production resulting leaves shading owing to early closure of canopy which hinder solar radiation absorbed by the leaves therefore less photosynthetic assimilates produced which causes lowering the net assimilation rate. Similar results about the pattern of the changes of NAR curve were reported by Esfahani et al.  , Singh et al.  and Yang et al.  .
3.2. Yield Components and Yield
Nitrogen levels had significant effect on the number of panicles per hill of rice (Table 2). The number of panicle per hill increased with increased level of nitrogen. The highest number of panicle per hill (8.8) was obtained when 60 kg N ha−1 was applied and the lowest (7.07) from control treatment. The number of effective tillers rather than total number of tillers contributes more to enhance productivity of rice plant. Nevertheless, the number of productive tillers depends on environmental conditions especially nutrient during tiller bud initiation and subsequent developmental stages   . The lower of tiller number in present study was attributed to the failure in competition for nitrogen at lower level and aggravate death of the tillers due to mutual shading  . Another explanation is that, competition for assimilates exists between developing panicles and young tillers during the beginning of panicle development causing suppression of growth of many young tillers therefore they may senesce without producing panicle   . Similar results were also reported by other authors   .
Number of filled grains per panicle varied significantly due to variable nitrogen rates. The highest number (100.11) of filled grains per panicle was recorded at 60 kg N ha−1. While, the lowest number of filled grains (72.92) per panicle of rice was found at control treatment. On the contrary, number of unfilled grains per panicle was reversal to that of filled grains at variable nitrogen levels. Thus number of unfilled grains per panicle was the highest (23.48) at control and the lowest (17.80) at 60 kg N ha−1. The variability in number of filled or unfilled grains per panicle is dependent on many factors such as genotypes, cultural techniques and growing environment of the crop  . Excessive as well as low application of nitrogen fertilizer causes lower number of filled grains and higher number of unfilled grains per panicle of rice (Table 2). Optimum amount of nitrogen fertilizer on the other hand produces maximum number of filled grains and minimum number of unfilled grains per panicle. These findings were in agreement with the findings of Lawal and Lawal  who reported that adequate supply of nitrogen is essential for grain development of rice and to increase filled grains per panicle. Higher number of grains per panicle at higher nitrogen rate might be due to higher nitrogen absorption which
Figure 5. Net assimilation rate of rice as influenced by nitrogen level over the growing periods.
Table 2. Yield components and yield of rice as affected by nitrogen rates.
Values followed by different letters in column indicate significant differences by LSD test.
favored formation of higher number of branches per panicle  .
Total grains per panicle also varied significantly due to different levels of applied nitrogen. Grains per panicle increased with the increase of nitrogen levels and the highest grains (118.31) per panicle were formed when the crop received 60 kg N ha−1. The lowest grains (92.72) per panicle were observed at 0 kg N ha−1. Application of nitrogen fertilizer improved grain number of rice. Higher number of grains per panicle at higher nitrogen rate might be due to higher nitrogen absorption which favored formation of higher number of branches per panicle  .
The maximum thousand grain weights (27.43 g) was observed at 80 kg N ha−1 which was statistically similar with 60 and 100 kg N ha−1. The lowest thousand grain weight (25.70 g) was produced with 20 kg N ha−1 which was similar to that of 0 and 40 kg N ha−1. In case of thousand grain weight, the variation is very low among the treatments as it known to be by the genetically controlled character. Similar results were found by other scientists   with nitrogen fertilizer management and concluded that there is little opportunity to improve grain size through agronomic management.
The highest grain yield (5.36 t∙ha−1) was found when the crop was fertilized with 60 kg N ha−1 followed by 80 kg N ha−1 (4.99 t∙ha−1) and the lowest yield (3.29 t∙ha−1) was recorded from control (Table 2). The decrease of grain yield after 80 kg N ha−1 indicated that the variety is efficient in nitrogen use at 60 kg N ha−1 that causes corresponding increase in growth and yield components. Application of 60 kg N ha−1 increased panicle per hill, grains per panicle, filled grains per panicle and seed size which ultimately increased the yield of the rice variety. Grain yield of rice plant is highly relying on the number of spike-bearing tillers produced by each plant, filled grains and grains weight  . The increment of grain yield in this study at higher nitrogen levels might be due efficient absorption of nitrogen and other elements which raise the production and translocation of the dry matter from source to sink   .
3.3. Dry Matter Translocation and Nitrogen Use Efficiency
Applied nitrogen had significant effect on apparent dry matter translocation of rice. Dry matter translocation from vegetative to reproductive organ increased with increased nitrogen levels upto 60 kg N ha−1 and then decreased (Table 3). For reaching maximum rice yield, the best photosynthesis activity of flag leaf is needed as 60% - 90% of total carbon in panicle is derived from photosynthesis after heading  . Rest of photoassimilates needed for grain is remobilized from vegetative organs  . The amount of dry matter remobilization in rice, however, is affected by genotypes, cultural practices and growing environments  . This result is in consistent with the result of Lin et al.  who reported that different rate of remobilization is related to agronomic practices especially applied nitrogen.
In present study, the highest amount of remobilization (232.93 g∙m−2) was recorded from 60 kg N ha−1 treatment and the lowest (130.93 g∙m−2) from control treatment. Nitrogen use efficiency of the rice variety increased with elevated levels of applied nitrogen upto 60 kg N ha−1 and thereafter declined (Table 3). Thus the lowest nitrogen use efficiency (115.34 kg grain/kg N applied) was noted at 100 kg N ha−1 and the highest (344.50 kg grain/kg N applied) at 60 kg N ha−1. The estimation of nitrogen use efficiency (NUE) in crop plants is crucially needed to assess the fate of applied nitrogen and their role in improving maximum economic yield through efficient absorbed or utilization by the plant. The diminishing trend of NUE at higher N rates pointed out that rice plants are unable to absorb or utilize N at higher rates or the rate of N uptake by plant cannot keep pace with the loss of N  . Nitrogen usually loss by means of ammonia volatilization, denitrification, surface runoff and leaching in the soil ﬂoodwater system   causing enormous problems for instance environmental pollution, increased production cost, grain yield reduction and could even lead to global warming   . Nonetheless, the magnitude and nature of N losses vary depending on the timing, rate, and method of N application, source of N fertilizer, soil chemical and physical properties, climatic conditions and crop status  . Decreases in N uptake efficiency at higher N rates have also been reported by Eagle et al.  , Timsina et al.  and Mae et al.  .
From the results it may be concluded that growth, yield and nitrogen use efficiency of the new rice variety were significantly influenced by different levels of nitrogen fertilizer. Although growth of the variety increased with increased nitrogen levels, assimilate mobilization towards grain was higher at 60 kg N ha−1. Consecutively, the
Table 3. Dry matter translocation and nitrogen use efficiency of rice at variable nitrogen rates.
Values followed by different letters in column indicate significant differences by LSD test.
variety produced the highest yield with 60 kg N ha−1 with the highest nitrogen use efficiency. Further research may include characterization and photosynthetic capacity of flag leaf so that inherent physiology may be exploited for further yield improvement of the new variety.
The study was funded by the Department of Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur, Bangladesh. The author likes to thank Head of the department and other concern personnel of the department for valuable guide and support.
 Dey, M.M., Mian, M.N.I., Mustafi, B.A.A. and Hossain, M. (1996) Rice Production Constraints in Bangladesh: Implication for Further Research Priorities. In: Evenson, R.E., Herdt, R.W. and Hossain, M., Eds., Rice Research in Asia, IRRI, Los Banos, 179-199.
 Miah, M.A.M. and Panaullah, G.M. (1999) Effect of Water Regimes and Nitrogen Levels on Soil Available N, Its Uptake and Use Efficiency by Transplanted Rice. Bangladesh Agricultural Research, 24, 343-353.
 Sanchez, P.A., Ramirez, G.E., Vergara, R. and Minguillo, F. (1973) Performance of Sulfur-Coated Urea under Intermittently Flooded Rice Culture in Peru. Soil Science Society of America Journal, 37,789-92.
 Cataldo, D.A., Schrader, L.E. and Youngs, V.L. (1974) Analysis by Digestion and Colorimetric Assay of Total Nitrogen in Plant Tissues High in Nitrate. Crop Science, 14, 854-856.
 Lawlor, D.W. (2002) Carbon and nitrogen Assimilation in Relation to Yield: Mechanisms Are the Key to Understanding Production Systems. Journal of Experimental Botany, 53, 773-787.
 Arnold, J.B., Frensch, J. and Taylor, A.R. (2006) Influence of Inorganic Nitrogen and pH on the Elongation of Maize Seminal Roots. Annals of Botany, 97, 867-873.
 Mesquita, E.E. and Pinto, J.C. (2000) Nitrogen Levels and Sowing Methods on Forage Yield Produced after Harvesting of Millet Seed (Pennisetum glaucum (L.) R. Br.) [Portuguese]. Revista Brasileira de Zootecnia, 29, 971-977.
 Pathan, S.H., Bhilare, R.L. and Damame, S.V. (2010) Seed Yield of Forage Pearl Millet Varieties as Influenced by Nitrogen Levels under Rainfed Condition. Journal of Maharashtra Agricultural University, 35, 306-308.
 Lampayan, R.M., Bouman, B.A.M., Dios, J.L.D., Espiritu, A.J., Soriano, J.B. and Lactaoen, A.T. (2010) Yield of Aerobic Rice in Rain Fed Lowlands of the Philippines as Affected by Nitrogen Management and Row Spacing. Field Crops Research, 116, 165-174.
 Shibu, M.E., Leffelaar, P.A., Van-Keulen, H. and Aggarwal, P.K. (2010) LINTUL3 a Simulation Model for Nitrogen-Limited Situations: Application to Rice. European Journal of Agriculture, 32, 255-271.
 Azarpour, E., Tarighi, F., Moradi, M. and Bozorgi, H.R. (2011) Evaluation Effect of Different Nitrogen Fertilizer Rates under Irrigation Management in Rice Farming. World Applied Sciences Journal, 13, 1248-1252.
 Dordas, C.A. and Sioulas, C. (2008) Safflower Yield, Chlorophyll Content, Photosynthesis, and Water Use Efficiency Response to Nitrogen Fertilization under Rainfed Conditions. Industrial Crops and Products, 27, 75-85.
 Kiniry, J.R., McCauley, G., Xie, Y. and Arnold, J.G. (2001) Rice Parameters Describing Crop Performance of Four US Cultivars. Agronomy Journal, 93, 1354-1361.
 Islam, M.S., Peng, S., Visperas, R.M., Ereful, N., Bhuiya, M.S.U. and Julfiquar, A.W. (2007) Lodging-Related Morphological Traits of Hybrid Rice in a Tropical Irrigated Ecosystem. Field Crops Research, 101, 240-248.
 Schnier, H.F., Dingkuhn, M., De-Datta, S.K., Mengel-Wijangco, E. and Javellana, C. (1990) Nitrogen Economy and Canopy CO2 Assimilation in Tropical Lowland Rice. Agronomy Journal, 82, 451-459.
 Fu, J.D., Yan, Y.F. and Lee, B.W. (2009) Physiological Characteristics of a Functional Stay-Green Rice SNU-SG1 during Grain-filling Period. Journal of Crop Science and Biotechnology, 12, 47-52.
 Dingkuhn, M., Laza, M.R., Kumar, U., Mendez, K.S., Collard, B., Jagadish, K. and Sow, A. (2015) Improving Yield Potential of Tropical Rice: Achieved Levels and Perspectives through Improved Ideotypes. Field Crops Research, 182, 43-59.
 Esfahani, M., Sadrzadelr, S., Kavoossi, M. and Dabaghm, M.N.A. (2006) Study the Effect of Different Levels of Nitrogen and Potassium Fertilizers on Growth Grain Yield Components of Rice Cultivar Khazar. Iranian Journal of Crop Sciences, 3, 226-242.
 Singh, P., Agrawal, M. and Agrawal, S.B. (2009) Evaluation of Physiological, Growth and Yield Responses of a Tropical Oil Crop (Brassica campestris L. var. Kranti) under Ambient Ozone Pollution at Varying NPK Levels. Environmental Pollution, 157, 871-880.
 Yang, L., Liu, H., Wang, Y., Zhu, J., Huang, J., Liu, G., Dong, G. and Wang, Y. (2009) Impact of Elevated CO2 Concentration on Inter-Subspecific Hybrid Rice Cultivar Liangyoupeijiu under Fully Open-Air Field Conditions. Field Crops Research, 112, 7-15.
 Power, J.F. and Alessi, J. (1978) Tiller Development and Yield of Standard and Semi-Dwarf Spring Wheat Varieties as Affected by Nitrogen Fertilizer. Journal of Agricultural Science, 90, 97-108.
 Masle, J. (1985) Competition among Tillers in Winter Wheat: Consequences for Growth and Development of the Crop. In: Day, W. and Atkin, R.K., Eds., Wheat Growth and Modeling, Plenum Press, New York, 33-54.
 Fageria, N.K., Santos, A.B. and Baligar, V.C. (1997) Phosphorus Soil Test Calibration for Lowland Rice on an Inceptisol. Agronomy Journal, 89, 737-742.
 Dofing, S.M. and Karlsson, M.G. (1993) Growth and Development of Uniculm and Conventional-Tillering Barley Lines. Agronomy Journal, 85, 58-61.
 Mendhe, S.N., Chaudhari, C.S., Sawaji, B.V., Farkade, B.K. and Khadse, V.A. (2002) Nitrogen Requirement and Yield Performance of Promising Cultures of Transplanted Paddy. Journal of Crop Soils, 22, 284-288.
 Uddin, M.J., Ahmed, S., Harun-or-Rashid, M., Hasan, M.M. and Asaduzzaman, M. (2011) Effect of Spacing on the Yield and Yield Attributes of Transplanted Aman Rice Varieties in Medium Lowland Ecosystem of Bangladesh. Journal of Agricultural Research, 49, 465-476.
 Maloch, B. and Kinzer, C. (2006) The Impact of Multimedia Cases on Preservice Teachers’ Learning about Literacy Teaching: A Follow-Up Study. The Teacher Educator, 41, 158-171.
 Rahman, M.H., Khatun, M.M., Mamun, M.A.A., Islam, M.Z. and Islam, M.R. (2007) Effect of Number of Seedling Hill-1 and Nitrogen Level on Growth and Yield of BRRI dhan32. Journal of Soil and Nature, 1, 1-7.
 Ahmed, M., Islam, M.M., Paul, S.K. and Khulna, B. (2005) Effect of Nitrogen on Yield and Other Plant Characters of Local T. Aman Rice, Var. Jatai. Research Journal of Agriculture and Biological Sciences, 1, 158-161.
 Huang, M., Zou, Y.B., Jiang, P., Bing, X.I.A., Md, I. and Ao, H.J. (2011) Relationship between Grain Yield and Yield Components in Super Hybrid Rice. Agricultural Sciences in China, 10, 1537-1544.
 Ebaid, R.A. and Ghanem, S.A. (2000) Productivity of Giza 177 Rice Variety Grown after Different Winter Crops and Fertilized with Different Nitrogen Levels. Egyptian Journal of Agricultural Research, 78, 717-731.
 Tari, D.B., Gazanchian, A., Pirdashti, H.A. and Nasiri, M. (2009) Flag Leaf Morphophysiological Response to Different Agronomical Treatments in a Promising Line of Rice (Oryza sativa L.). American-Eurasian Journal of Agricultural and Environmental Science, 5, 403-408.
 Shokri, S., Siadat, S.A., Fathi, G., Maadi, B., Gilani, A. and Mashhadi, A.A. (2009) Effect of Nitrogen Rates on Dry Matter Remobilization of Three Rice Cultivars. International Journal of Agricultural Research, 4, 213-217.
 Kumar, G.B. and Gangwas, R.K. (1993) Importance of Leaf Area Index and Forest Type When Estimating Photosynthesis in Boreal Forests. Remote Sensing of Environment, 43, 303-314.
 Lin, X., Zhou, W., Zhu, D., Chen, H. and Zhang, Y. (2006) Nitrogen Accumulation, Remobilization and Partitioning in Rice (Oryza sativa L.) under an Improved Irrigation Practice. Field Crops Research, 96, 448-454.
 De Datta, S.K. and Buresh, R.J. (1989) Integrated Nitrogen Management in Irrigated Rice. In: Stewart, B.A., Ed., Advances in Soil Science, Springer, New York, 143-169.
 Li, D., Tang, Q., Zhang, Y., Qin, J., Li, H., Chen, L., Yang, S., Zou, Y. and Peng, S. (2012) Effect of Nitrogen Regimes on Grain Yield Nitrogen Utilization Radiation Use Efficiency and Sheath Blight Disease Intensity in Super Hybrid Rice. Journal of Integrated Agriculture, 11, 134-143.
 Zhu, Z. (1997) Fate and Management of Fertilizer Nitrogen in Agro-Ecosystems. In: Zhu, Z., Wen, Q. and Freney, J.R., Eds., Nitrogen in Soils of China, Kluwer Academic Publishers, Dordrecht, 239-279.
 Eagle, A.J., Bird, J.A., Hill, J.E., Horwath, W.R. and Kessel, C.V. (2001) Nitrogen Dynamics and Fertilizer Use Efficiency in Rice Following Straw Incorporation and Winter flooding. Agronomy Journal, 93, 1346-1354.
 Timsina, J., Singh, U., Badaruddin, M., Meisner, C. and Amin, M.R. (2001) Cultivar, Nitrogen, and Water Effects on Productivity, and Nitrogen-Use Efficiency and Balance for Rice-Wheat Sequences of Bangladesh. Field Crops Research, 72, 143-161.
 Mae, T., Inaba, A., Kaneta, Y., Masaki, S., Sasaki, M., Aizawa, M., Okawa, S., Hasegawa, S. and Makino, A. (2006) A Large-Grain Rice Cultivar, Akita 63, Exhibits High Yields with High Physiological N-Use Efficiency. Field Crops Research, 97, 227-237.