Simulation of nitrogen uptake and distribution under furrows and ridges during the maize growth period using HYDRUS-2D

2019 ◽  
Vol 37 (4) ◽  
pp. 495-509
Author(s):  
Arash Ranjbar ◽  
Ali Rahimikhoob ◽  
Hamed Ebrahimian ◽  
Maryam Varavipour
Agronomy ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1862
Author(s):  
Libing Song ◽  
Jiming Jin

In this study, the crop environment resource synthesis maize (CERES-Maize) model was used to explore the effects of declining sunshine hours (SSH), decreasing daily maximum temperature (Tmax), and cultivar replacements on growth processes and yields of maize in Northern China, a principal region of maize production. SSH were found to decrease at 189 of 246 meteorological stations in the northern provinces of China over the period of 1994–2012, and a decrease in Tmax was also seen at many of these stations. The most significant decrease in these two climate variables occurred during June to September, a period for summer maize growth. For this study, seven crop field stations in the ShaanXi province, in the Guanzhong Plain, were selected, all of which showed a downward trend in SSH and Tmax over the period of 1994–2012. The CERES-Maize model was first calibrated and validated against yield observations for these stations over the same period, and the yield simulations matched very well with observations. The model was then driven by the detrended SSH and Tmax data, and the simulations were compared with those with a trend in these two input variables. The decline in SSH was found to reduce the maize yield by 8% on average over these stations due mostly to limited root growth, and the decline for shorter SSH reduced the yield more than that for longer SSH. Meanwhile, the decrease in higher Tmax increased the yield by extending the growth period, while the decrease in lower Tmax reduced the yield by lowering the thermal time. In addition, the observed yield showed a significant upward trend, and our modeling results indicate that this increase can be attributed mainly to the frequent cultivar replacements over our study period. The replaced cultivars usually had a longer growth period than the prior ones, which compensated for the yield loss due to fewer SSH. Net maize production decreased with the combined effects of the declines in SSH and Tmax on yields. This study quantifies the contribution of changes in climate and cultivars to maize growth processes and yields and provides strong insights into maize production under a complex dynamic climate system.


2012 ◽  
Vol 10 (1) ◽  
pp. 535-540 ◽  
Author(s):  
Chunqiao Mi ◽  
Dehai Zhu ◽  
Bernard A. Engel ◽  
Shaoming Li ◽  
Xiaodong Zhang ◽  
...  

2015 ◽  
Vol 737 ◽  
pp. 771-775
Author(s):  
Chang Hu ◽  
Dang Sheng Li

According to Luoyang rainfall data from 1951 to 2011, this paper discussed the distribution characteristics of rainfall in the whole year. It analyzed summer maize growth period with the coupling of water consumption. It set up the estimation model of summer maize water consumption, the mathematical model of yield and water relationship, and then analyzed its mutual relations. The experimental results showed that the water requirement and rainfall distribution would fit well during summer maize growth. But summer maize growth stage should be irrigated suitably in the dry and median water year.


2013 ◽  
Vol 20 (10) ◽  
pp. 1394-1403 ◽  
Author(s):  
Shi-Wei GOU ◽  
Ying-Xian ZHANG ◽  
Yin-Long XU

2017 ◽  
Vol 8 (2) ◽  
pp. 333-337 ◽  
Author(s):  
D. J. Bonfil

Simple active radiometer sensors, such as RapidScan, enable agronomic decision-making and phenotyping within commercial wheat fields and experiments. The objectives of this study were: 1 - to evaluate the accuracy of quantitative biomass and nitrogen uptake estimation by the RapidScan, and 2 - to evaluate yield loss estimation based on NDVI. The RapidScan sensor was used as an assessment tool in the following studies: (i) over 3 years, 518 wheat samples were monitored during the vegetative growth period for biomass and aboveground nitrogen uptake and (ii) wheat cultivars were tested in an additional 4 field experiments, which were scanned weekly and correlated with grain yield. Results showed that accurate biomass estimation is limited up to about 100 g DM m−2. Grain yield, actual and potential, estimation is highly affected by the emergence date. The results showed that the use of a proximal-sensing technique allows for rapid and accurate crop monitoring and yield estimation, but emphasizing limitations in future use as well.


2012 ◽  
Vol 11 (11) ◽  
pp. 1898-1913 ◽  
Author(s):  
Hai-long LIU ◽  
Jing-yi YANG ◽  
Ping HE ◽  
You-lu BAI ◽  
Ji-yun JIN ◽  
...  

2019 ◽  
Vol 104 ◽  
pp. 347-356 ◽  
Author(s):  
Xuejuan Chen ◽  
Xingguo Mo ◽  
Yucui Zhang ◽  
Zhigang Sun ◽  
Yi Liu ◽  
...  

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