Effects of nitrogen uptake on rice yield in northern Australia

1972 ◽  
Vol 37 (3) ◽  
pp. 511-520 ◽  
Author(s):  
G. R. Chaplin
2017 ◽  
Vol 109 (1) ◽  
pp. 363-377 ◽  
Author(s):  
Randy J. Dempsey ◽  
Nathan A. Slaton ◽  
Richard. J. Norman ◽  
Trenton L. Roberts

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Hui Wu ◽  
Jing Xiang ◽  
Yuping Zhang ◽  
Yikai Zhang ◽  
Shaobing Peng ◽  
...  

1988 ◽  
Vol 111 (3) ◽  
pp. 451-458 ◽  
Author(s):  
A. L. Singh ◽  
P. K. Singh ◽  
P. L. Singh

SummaryPre-emergence herbicides applied at field recommended doses, 3 days after transplanting (DAT) rice plants, inhibited growth and N2-fixation ofAzolla pinnata(Bangkok) and BGA (blue-green algae) inoculated 10 DAT. This inhibition was up to 15 DAT inAzollaand up to 20 DAT in BGA. Butachlor and Oxadiazon resulted in higher toxicity toAzollaand BGA than Benthiocarb and Pendimethalin. The application of 0·5 kg/ha active ingredient of 2,4-DNa did not inhibit growth ofAzollabut inhibited BGA growth. However, 2,4-DEE, a post-emergence herbicide, applied 30 DAT showed inhibitory effects on the growth and N2-fixation of bothAzollaand BGA. Inoculation of 2·0 t/ha of freshAzolla10 DAT produced maximum biomass within 20–25 days of herbicide treatments, depending upon the season. The inoculation of 10 kg/ha of a dry mixture of BGA 10 DAT could produce the maximum biomass 60 and 80 DAT in control and herbicide treated plots, respectively. The biomass and nitrogen produced byAzollarecorded at maximum mat formation were similar in both herbicide treated and untreated plots, but in BGA these were higher in controls than those of herbicide treated plots.The useof Azollaand BGA biofertilizers along with herbicides increased the grain and straw yields, and panicle number and nitrogen uptake, by rice over noAzollaor BGA treatments. TheAzollaand BGA treatments even without weeding increased rice yield up to that of herbicide and biofertilizer treatments.


Agronomy ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 39 ◽  
Author(s):  
Fazli Hameed ◽  
Junzeng Xu ◽  
Shah Rahim ◽  
Qi Wei ◽  
Anis Rehman Khalil ◽  
...  

Major challenge in rice production is to achieve the goal of enhancing both food production and fertilizer use efficiency. Rice growth simulation model, ORYZA (v3) was used in the present study to evaluate the model under continuous flooded (CF) and alternate wetting and drying (AWD) regimes with different fertilizer nitrogen (N) rates with different N splits using a historical data of past 45 years. The model satisfactorily simulated crop biomass and nitrogen uptake at both irrigation regimes and fertilizers N rates and splits. The yield differences among the years were large due to climate change, but enhanced by N rates. The response of N curves was different at both water regimes. At 0 N rate, the slope for agronomic efficiency (AE) was high which tends to decrease with increase in N rates. With the one split basal application of N, lowest yield was found with high physiological efficiencies (PE), lowest fertilizer recoveries (RE) and lowest agronomic efficiency (AE). For both water applications and fertilizer levels, high yield with high nitrogen uptake, AE, RE and partial factor productivity (PFP) were witnessed high at four split (3:3:3:1), while having low physiological efficiency. The water productivity (irrigation + rainfall) WPI+R at basal in one N split for AWD at 150 kg N ha−1 was 1.19 kg m−3 and for CF was 0.82 kg m−3, whereas for 225 kg N ha−1 WPI+R of AWD was 1.50 kg m−3 and 1.14 kg m−3 for CF. In general, AWD exhibited high WPI+R with no rice yield penalty compared to CF. Splitting with the proper amount of fertilizer N resulted in good water productivity and nitrogen efficiencies, could lead to high rice yield.


2017 ◽  
Vol 573 ◽  
pp. 203-213 ◽  
Author(s):  
BJ Lyon ◽  
RG Dwyer ◽  
RD Pillans ◽  
HA Campbell ◽  
CE Franklin

2013 ◽  
Vol 38 (5) ◽  
pp. 896-903 ◽  
Author(s):  
Quan-Hong SHI ◽  
Jian-Gang LIU ◽  
Zhao-Hua WANG ◽  
Ting-Ting TAO ◽  
Fu CHEN ◽  
...  

2017 ◽  
Vol 43 (1) ◽  
pp. 97
Author(s):  
Bao-Wei GUO ◽  
Hong-Cheng ZHANG ◽  
Da-Wei ZHU ◽  
Ke Xu ◽  
Zhong-Yang HUO ◽  
...  
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