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- W2905786106 abstract "Understanding the responses of grain yield (GY), nitrogen (N) use efficiency (NUE), rainwater use efficiency (WUE) and nitrate-N residue (NR) to different maize genotypes and the relationships of these parameters to N management is essential to determining N application rates and choose maize genotypes in rain-fed areas. A field experiment was conducted by using two maize genotypes of Zhengdan 958 (ZD958) and Wuke 2 (WK2) and three N application rates of 86, 172 and 258 kg N ha−1 with one control treatment in Yangling on the Loess Plateau of China. Grain yield, nitrate-N residue, nitrogen and rainwater use efficiency were evaluated in the 2013, 2014 and 2015 maize growing seasons. The results showed that the increasing application of N rate increased the soil NR, but no difference in soil NR was observed between the two maize genotypes at harvest. The “linear-plus-plateau” model could describe the relationship between N rates and GY, the mean values of optimal N rate and maximum GY were (149.1 vs 107.7 kg ha−1) and (7061.3 vs 6449.8 kg ha−1) in ‘ZD958’ and ‘WK2’, respectively. Nitrogen application can significantly improve WUE. Compared to ‘WK2’, ‘ZD958’ had higher WUE, with mean values of 25.5 and 23.2 kg ha-1 mm-1 in ‘ZD958’ and ‘WK2’, respectively. Nitrogen use efficiency and crop N recovery efficiency decreased sharply as the N rate increased; the mean values of NUE were 9.7 and 8.3 kg kg-1 in ‘ZD958’ and ‘WK2’, respectively. Further analysis shows that, the green leaf area index and leaf N concentration were greater in ‘ZD958’ compared with those of ‘WK2’. The findings suggest that the combination of N application rate of 149.1 kg ha−1 with the maize genotype‘ZD958’958′ would result in the maximum GY, with improve in both WUE and NUE under rain-fed conditions." @default.
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- W2905786106 date "2019-03-01" @default.
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- W2905786106 title "Maize yield, rainwater and nitrogen use efficiency as affected by maize genotypes and nitrogen rates on the Loess Plateau of China" @default.
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- W2905786106 doi "https://doi.org/10.1016/j.agwat.2018.12.021" @default.
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