Physiological Response of Rice Genotypes to Different Nitrogen Levels

2018 ◽  
Vol 105 (10-12) ◽  
Author(s):  
N. Madhipriya ◽  
N. Sritharan ◽  
V. Ravichandran ◽  
M. Raveendran ◽  
A. Senthil
Keyword(s):  
Physiological Response ◽  
Nitrogen Levels ◽  
Rice Genotypes

Physiological Response to 1,2,4-Trichlorobenzene Stress of Different Rice Genotypes in Seedlings

2009 ◽  
Vol 35 (4) ◽  
pp. 733-740 ◽  
Author(s):  
Guo-Liang ZHANG ◽  
Wen-Jun CHEN ◽  
Li-Min QIU ◽  
Guo-Rong SUN ◽  
Qi-Gen DAI ◽  
...  
Keyword(s):  
Physiological Response ◽  
Rice Genotypes

Proteomic Analysis for Low and High Nitrogen-Responsive Proteins in the Leaves of Rice Genotypes Grown at Three Nitrogen Levels

2012 ◽  
Vol 168 (4) ◽  
pp. 834-850 ◽  
Author(s):  
Khalid Rehman Hakeem ◽  
Ruby Chandna ◽  
Altaf Ahmad ◽  
Mohd. Irfan Qureshi ◽  
Muhammad Iqbal
Keyword(s):  
Proteomic Analysis ◽  
High Nitrogen ◽  
Nitrogen Levels ◽  
Rice Genotypes

scholarly journals RESPONSE OF DIFFERENT PROMISING RICE GENOTYPES TO VARIOUS NITROGEN LEVELS.

2011 ◽  
Vol 2 (3) ◽  
pp. 507-520
Author(s):  
T. Metwally ◽  
E. Gewaily ◽  
E. Naeem ◽  
M. El-Malky
Keyword(s):  
Nitrogen Levels ◽  
Rice Genotypes

scholarly journals Evaluation of Yield and Yield Attributes in Various Rice Genotypes under Different Nitrogen Levels

2019 ◽  
pp. 1-11
Author(s):  
K. Sivasabari ◽  
S. Jothimani
Keyword(s):  
Plant Height ◽  
Harvest Index ◽  
Recommended Dose ◽  
Research Station ◽  
Panicle Length ◽  
Yield Attributes ◽  
Low Level ◽  
Nitrogen Levels ◽  
Use Efficiency ◽  
Rice Genotypes

The experiment was conducted during 2017, Pishanam season at Rice Research Station, Ambasamudram with the objective to screen the efficient and responsive rice genotypes based on nitrogen use efficiency and yield and yield attributes of different genotypes by N levels with 32 rice genotypes as main plot treatments and four nitrogen levels N0 (control), N1 (50% recommended dose of N ha-1), N2 (100% recommended dose of N ha-1) and N3 (150% recommended dose of N ha-1) as subplot treatments. The experimental results showed that, the highest grain and straw yields were recorded at N3 (180 kg ha-1) by the most of the rice genotypes, except the AS 12051, ACK 14004, CB08702, CB 13539 and PM 12009 which were not responded genotypes for higher dose of (180 kg ha-1) nitrogen. In the genotypes ASD 16, ADT 43, ADT 45, CO 51, MDU 5, CB 14508, CB 14533, TR 0927, TR 13069 and TM 12061 the AE was increasing with increasing level of nitrogen, other genotypes showed decreasing trend with increasing level of nitrogen levels. The genotypes viz., ASD16, ADT39, ADT45, TPS 5, AD09206, CB06803, ACK14001, TM10085, TM12007, PM12009 and EC725224 are under Efficient and responsive (ER) category which gives average yield at low level and high N use efficiency. The plant height, productive tillers, total grains, harvest index, panicle length and 1000 grain weights given verified results among the genotypes due to genetic characters. Among the N levels the plant height, panicle length, productive tillers per hill and total grains showed highest in 180 kg N ha-1. 1000 grain weight increased at low level of 50% of RDN (21.0) and decreased to 20.8 in N2 and N3 treatments which indicated higher doses of N. N harvest index were decreased with increasing level of N application from 0.70 (N0), 0.65(N1), 0.64 (N2) and 0.63 (N3).

scholarly journals Performance of some Rice Genotypes under Both Different Nitrogen Levels and Plant Spaces

2018 ◽  
Vol 9 (10) ◽  
pp. 845-858
Author(s):  
Howida EL-Habet ◽  
T. Abd El-Megeed ◽  
Mervat Osman
Keyword(s):  
Nitrogen Levels ◽  
Rice Genotypes

scholarly journals Effects of Nitrogen Levels on Growth, Yield And Nitrogen use Efficiency Of Some Newly Released Egyptian Rice Genotypes

2018 ◽  
Vol 3 (1) ◽  
pp. 310-318 ◽  
Author(s):  
Adel M. Ghoneim ◽  
Gewaily E.E. ◽  
Marvet M.A. Osman
Keyword(s):  
Grain Yield ◽  
Nitrogen Use Efficiency ◽  
Nitrogen Fertilizer ◽  
Growth And Yield ◽  
Rice Varieties ◽  
Nitrogen Use ◽  
Nitrogen Levels ◽  
Growing Seasons ◽  
Use Efficiency ◽  
Rice Genotypes

Abstract Application of appropriate level of nitrogen fertilization is a major objective to increase nitrogen use efficiency by rice varieties. Field experiments were conducted during 2016 and 2017 growing seasons to evaluate the efficiency of varying nitrogen fertilizer rates on growth and yield parameters, along with nitrogen use efficiency of some newly released rice varieties (Sakha 108) and some promising lines GZ9399-4-1-1-3-2-2, GZ10101- 5-1-1-1 and GZ10154-3-1-1-1. Five nitrogen levels (i.e. 0, 55, 110, 165 and 220 kg N ha-1) were used. The results from both growing seasons indicated that, Sakha 108 recorded the highest grain yield while GZ10154 and GZ10101 recorded the lowest grain yields. A linear increase in grain yield was observed with continuous rate increase of nitrogen from 0 to 220 kg ha-1, while 220 kg N ha-1 treatment showed maximum grain yield followed by 165 kg N ha-1, with control as minimum. Agronomic nitrogen use efficiency (AE) for studied rice genotypes varied significantly, and ranged from 3.63 to 32.9 and from 2.72 to 34.12 kg grain yield produced per kg of nitrogen applied in 2016 and 2017 respectively. Across N levels, GZ9399 recorded the highest values of AE for the nitrogen fertilizer rate of 165 kg N ha-1 in both seasons.

γ-Aminobutyric Acid Regulates Grain Yield Formation in Different Fragrant Rice Genotypes Under Different Nitrogen Levels

2019 ◽  
Vol 39 (2) ◽  
pp. 738-750 ◽  
Author(s):  
Yuzhan Li ◽  
Rifang Lai ◽  
Wu Li ◽  
Jiaqi Liu ◽  
Mingzhi Huang ◽  
...  
Keyword(s):  
Grain Yield ◽  
Aminobutyric Acid ◽  
Fragrant Rice ◽  
Nitrogen Levels ◽  
Rice Genotypes ◽  
Yield Formation

scholarly journals Simulation modeling of rice genotypes of yield and yield attributes at different nitrogen levels and different dates of transplanting using CERES 3.5 v for eastern Uttar Pradesh

MAUSAM ◽  
2021 ◽  
Vol 60 (4) ◽  
pp. 521-524
Author(s):  
NEERAJ KUMAR ◽  
P. TRIPATHI
Keyword(s):  
Simulation Modeling ◽  
Block Design ◽  
Uttar Pradesh ◽  
Nitrogen Level ◽  
Yield Attributes ◽  
Nitrogen Levels ◽  
Randomized Block Design ◽  
Rice Genotypes ◽  
Eastern Uttar Pradesh ◽  
Late Sowing

The present investigation was carried out at Agrometeorological Instructional Farm of Narendra Deva University of Agriculture & Technology, Kumarganj, Faizabad (U.P.) during Kharif season of 2005-06 to investigate the CERES v 3.5 model validations for rice at different dates of transplanting and different genotypes. Treatment consisted of three genotypes, viz., Sarjoo-52, NDR-359 and  Pant Dhan-4, two dates of transplanting, viz.,         July 5, 2005 and  July 25, 2005 & three nitrogen levels, viz., 80 kg/ha, 120 kg/ha and 160 kg/ha. The experiment was laid out in Randomized Block Design (RBD). From the response of simulation model it is observed that accuracy of simulated value decrease with late sowing in all the genotypes. Among the varieties the Pant Dhan-4 was found to have maximum closeness to observed value followed by Sarjoo-52 and NDR-359 at all nitrogen level for Biomass (gm/m2). Grain yield predication at 120 kg N level was found closest in Pant Dhan-4 and Sarjoo-52, while in NDR­-359 shows the better closeness at 160 kg N in both dates of transplanting. In the weight/grain (gm) 120 kg nitrogen level was found to have highest accuracy of (100%), i.e., no difference between observed and predicted value in both transplanting dates and nitrogen level.

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