Wheat yield, some physiological traits and nitrogen use efficiency response to nitrogen fertilization under salinity stress

2014 ◽  
Vol 19 (1) ◽  
pp. 21-27 ◽  
Author(s):  
Azam Borzouei ◽  
Ali Eskandari ◽  
Mohammad Kafi ◽  
Ahmad Mousavishalmani ◽  
Ali Khorasani
Keyword(s):  
Salinity Stress ◽  
Nitrogen Use Efficiency ◽  
Nitrogen Fertilization ◽  
Wheat Yield ◽  
Physiological Traits ◽  
Nitrogen Use ◽  
Use Efficiency

Tillage and nitrogen fertilization effects on yield and nitrogen use efficiency of irrigated cotton

2013 ◽  
Vol 134 ◽  
pp. 72-82 ◽  
Author(s):  
M. Devkota ◽  
C. Martius ◽  
J.P.A. Lamers ◽  
K.D. Sayre ◽  
K.P. Devkota ◽  
...  
Keyword(s):  
Nitrogen Use Efficiency ◽  
Nitrogen Fertilization ◽  
Nitrogen Use ◽  
Use Efficiency ◽  
Fertilization Effects

Natural variation and genomic prediction of growth, physiological traits, and nitrogen-use efficiency in perennial ryegrass under low-nitrogen stress

2020 ◽  
Vol 71 (20) ◽  
pp. 6670-6683
Author(s):  
Xiongwei Zhao ◽  
Gang Nie ◽  
Yanyu Yao ◽  
Zhongjie Ji ◽  
Jianhua Gao ◽  
...  
Keyword(s):  
Perennial Ryegrass ◽  
Nitrogen Use Efficiency ◽  
Ridge Regression ◽  
Genomic Prediction ◽  
Prediction Accuracy ◽  
Prediction Models ◽  
Physiological Traits ◽  
Grass Species ◽  
Nitrogen Use ◽  
Use Efficiency

Abstract Genomic prediction of nitrogen-use efficiency (NUE) has not previously been studied in perennial grass species exposed to low-N stress. Here, we conducted a genomic prediction of physiological traits and NUE in 184 global accessions of perennial ryegrass (Lolium perenne) in response to a normal (7.5 mM) and low (0.75 mM) supply of N. After 21 d of treatment under greenhouse conditions, significant variations in plant height increment (ΔHT), leaf fresh weight (LFW), leaf dry weight (LDW), chlorophyll index (Chl), chlorophyll fluorescence, leaf N and carbon (C) contents, C/N ratio, and NUE were observed in accessions , but to a greater extent under low-N stress. Six genomic prediction models were applied to the data, namely the Bayesian method Bayes C, Bayesian LASSO, Bayesian Ridge Regression, Ridge Regression-Best Linear Unbiased Prediction, Reproducing Kernel Hilbert Spaces, and randomForest. These models produced similar prediction accuracy of traits within the normal or low-N treatments, but the accuracy differed between the two treatments. ΔHT, LFW, LDW, and C were predicted slightly better under normal N with a mean Pearson r-value of 0.26, compared with r=0.22 under low N, while the prediction accuracies for Chl, N, C/N, and NUE were significantly improved under low-N stress with a mean r=0.45, compared with r=0.26 under normal N. The population panel contained three population structures, which generally had no effect on prediction accuracy. The moderate prediction accuracies obtained for N, C, and NUE under low-N stress are promising, and suggest a feasible means by which germplasm might be initially assessed for further detailed studies in breeding programs.

scholarly journals Timing and rate of nitrogen fertilization influence maize yield and nitrogen use efficiency

PLoS ONE ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. e0233674
Author(s):  
Benjamin Davies ◽  
Jeffrey A. Coulter ◽  
Paulo H. Pagliari
Keyword(s):  
Nitrogen Use Efficiency ◽  
Nitrogen Fertilization ◽  
Maize Yield ◽  
Nitrogen Use ◽  
Use Efficiency

scholarly journals Combined application of nitrogen and phosphorus to enhance nitrogen use efficiency and close the wheat yield gap on varying soils in semi‐arid conditions

2019 ◽  
Vol 205 (6) ◽  
pp. 635-646 ◽  
Author(s):  
Therese M. McBeath ◽  
Vadakattu V. S. R. Gupta ◽  
Rick S. Llewellyn ◽  
Sean D. Mason ◽  
Christopher W. Davoren ◽  
...  
Keyword(s):  
Nitrogen Use Efficiency ◽  
Wheat Yield ◽  
Nitrogen And Phosphorus ◽  
Yield Gap ◽  
Nitrogen Use ◽  
Combined Application ◽  
Arid Conditions ◽  
Use Efficiency ◽  
Semi Arid

scholarly journals Effect of splitting nitrogen fertilization on Tifton 85: Yield, nitrogen use efficiency, and nitrogen nutritional status of plants and soil

2018 ◽  
Vol 13 (22) ◽  
pp. 1154-1162
Author(s):  
Simioni Assmann Tangriani ◽  
Tanise Sonego Etiane ◽  
Luiz Assmann Alceu ◽  
Fernando Adami Paulo ◽  
Cuzzi Claucia
Keyword(s):  
Nutritional Status ◽  
Nitrogen Use Efficiency ◽  
Nitrogen Fertilization ◽  
Nitrogen Use ◽  
Use Efficiency

scholarly journals Synthesis of Climate, Soil Factors, and Nitrogen Management Practices Affecting the Responses of Wheat Productivity and Nitrogen Use Efficiency to Nitrogen Fertilizer in China

2018 ◽  
Vol 10 (10) ◽  
pp. 3533 ◽  
Author(s):  
Yunqi Wang ◽  
Jiapeng Yang ◽  
Rui Zhang ◽  
Zhikuan Jia
Keyword(s):  
Nitrogen Use Efficiency ◽  
Management Practices ◽  
Wheat Yield ◽  
Soil Factors ◽  
Nitrogen Use ◽  
N Application ◽  
Average Annual Temperature ◽  
Coated Urea ◽  
Use Efficiency ◽  
N Management

The reported effects of nitrogen (N) fertilizer on wheat yield and nitrogen use efficiency (NUE) vary greatly, due to differences in climate, soil factors, and N management practices in different regions of China. We collected literature published during 1950–2017 that reported the yield and NUE for wheat in China, under N application and control treatments, and analyzed the data therein. A significant increase in yield was observed with N application, and varied with climate, soil factors, and N management practices in different regions. A larger increase in yield was observed under an average annual temperature of 13–15 °C, an average annual precipitation of >800 mm, respectively. Greater yield-increasing effects were observed in soil with a coarse soil texture, lower soil total N, available N, and a soil pH of ≤7 and >8, respectively. In Northwest China, the yield increase was greater under multiple coated urea applications after anthesis, while the higher NUE was observed under single coated urea application before anthesis. In North China, the yield and NUE were greater under multiple coated urea applications before anthesis. In South China, the yield and NUE were greater under multiple N applications. Consequently, to improve wheat yield and NUE, site-specific N management practices should be adopted.

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