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266 results on '"Xie, Ruizhi"'

8. Increasing Planting Density and Optimizing Irrigation to Improve Maize Yield and Water-Use Efficiency in Northeast China

Author

Shen, Dongping, primary, Wang, Keru, additional, Zhou, Linli, additional, Fang, Liang, additional, Wang, Zhen, additional, Fu, Jiale, additional, Zhang, Tingting, additional, Liang, Zhongyu, additional, Xie, Ruizhi, additional, Ming, Bo, additional, Hou, Peng, additional, Xue, Jun, additional, Li, Jianmin, additional, Kang, Xiaojun, additional, Zhang, Guoqiang, additional, and Li, Shaokun, additional

Published
2024
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9. Quantifying maize grain yield losses caused by climate change based on extensive field data across China

Author

Hou, Peng, Liu, Yuee, Liu, Wanmao, Yang, Haishun, Xie, Ruizhi, Wang, Keru, Ming, Bo, Liu, Guangzhou, Xue, Jun, Wang, Yonghong, Zhao, Rulang, Zhang, Wenjie, Wang, Yongjun, Bian, Shaofeng, Ren, Hong, Zhao, Xiaoyan, Liu, Peng, Chang, Jianzhi, Zhang, Guohe, Liu, Jiayou, Yuan, Liuzheng, Zhao, Haiyan, Shi, Lei, Zhang, Lili, Yu, Lin, Gao, Julin, Yu, Xiaofang, Wang, Zhigang, Shen, Liguo, Ji, Ping, Yang, Shuzong, Zhang, Zhongdong, Xue, Jiquan, Ma, Xiangfeng, Wang, Xiuquan, Lu, Tingqi, Dong, Benchun, Li, Gang, Ma, Baoxin, Li, Jinqin, Deng, Xiufeng, Liu, Yonghong, Yang, Qin, Jia, Chunlan, Chen, Xianping, Fu, Hua, and Li, Shaokun

Published
2021
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11. Optimizing Maize Yield and Resource Efficiency Using Surface Drip Fertilization in Huang-Huai-Hai: Impact of Increased Planting Density and Reduced Nitrogen Application Rate.

Author

Wu, Liqian, Zhang, Guoqiang, Yan, Zhenhua, Gao, Shang, Xu, Honggen, Zhou, Jiaqiang, Li, Dianjun, Liu, Yi, Xie, Ruizhi, Ming, Bo, Xue, Jun, Hou, Peng, Li, Shaokun, and Wang, Keru

Subjects
WATER efficiency, PLANTING, PLANT spacing, AGRICULTURAL productivity, CROP yields
Abstract

Improving crop yield and resource utilization efficiency is essential for agricultural productivity. In the Huang-Huai-Hai maize region of China, optimizing planting density, nitrogen (N) application, and fertilization methods are key strategies for enhancing maize yield and N use efficiency. However, traditional approaches have often hindered these improvements. To address this issue, we conducted a study in Baoding, Hebei, from 2022 to 2023, focusing on planting density, the N application rate, and the fertilization method on grain yield, N use efficiency, water use efficiency (WUE), and economic benefits. The trial involved two planting densities: 6.0 × 104 plants ha−1 (D1, typical local density) and 9.0 × 104 plants ha−1 (D2). Five N application rates were tested: 0 (N0), 120 kg ha−1 (N1), 180 kg ha−1 (N2), 240 kg ha−1 (N3), and 300 kg ha−1 (N4). The control treatment (D1N4) utilized the local planting density and traditional fertilization methods. Our findings revealed a positive correlation between the maize yield and N application rate, with the maximum yields (13.78–13.88 t ha−1), high WUE (24.42–29.85 kg m−3), agronomic efficiency of N (AEN) (18.11–19.00 kg kg−1), and economic benefits (2.44 × 104–2.47 × 104 CNY ha−1) observed with D2N3 and surface drip fertilization. This was significantly higher than the yield and resource efficiency of traditional fertilization methods and saved fertilizer and production costs. Therefore, adopting surface drip fertilization, adjusting planting density, and optimizing N application rates proved effective in enhancing maize yield and resource utilization efficiency in the Huang-Huai-Hai maize region. [ABSTRACT FROM AUTHOR]

Published
2024
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12. How to increase maize production without extra nitrogen input

Author

Hou, Peng, Liu, Yuee, Liu, Wanmao, Liu, Guangzhou, Xie, Ruizhi, Wang, Keru, Ming, Bo, Wang, Yonghong, Zhao, Rulang, Zhang, Wenjie, Wang, Yongjun, Bian, Shaofeng, Ren, Hong, Zhao, Xiaoyan, Liu, Peng, Chang, Jianzhi, Zhang, Guohe, Liu, Jiayou, Yuan, Liuzheng, Zhao, Haiyan, Shi, Lei, Zhang, Lili, Yu, Lin, Gao, Julin, Yu, Xiaofang, Shen, Liguo, Yang, Shuzong, Zhang, Zhongdong, Xue, Jiquan, Ma, Xiangfeng, Wang, Xiuquan, Lu, Tingqi, Dong, Benchun, Li, Gang, Ma, Baoxin, Li, Jinqin, Deng, Xiufeng, Liu, Yonghong, Yang, Qin, Fu, Hua, Liu, Xingzhou, Chen, Xianping, Huang, Changling, and Li, Shaokun

Published
2020
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15. Effects of planting density on test weight and related indexes of maize

Author

Wang, Zhen, primary, Guo, Yanan, additional, Wang, Keru, additional, Zhang, Guoqiang, additional, Ming, Bo, additional, Shen, Dongping, additional, Fang, Liang, additional, Zhou, Linli, additional, Sun, Lirong, additional, Liu, Hao, additional, Liu, Nan, additional, Xie, Ruizhi, additional, and Li, Shaokun, additional

Published
2023
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26. Improving maize quality from mechanical grain harvesting by matching maize varieties with accumulated temperature in northeast China.

Author

Huang, Zhaofu, Ming, Bo, Hou, Liangyu, Xue, Jun, Wang, Keru, Xie, Ruizhi, Hou, Peng, Wang, Zhigang, Ma, Daling, Gao, Julin, and Li, Shaokun

Subjects
GRAIN harvesting, HARVESTING, GLOBAL warming, TEMPERATURE, FOOD security, CORN
Abstract

BACKGROUND: Global warming has led to methods of planting late‐maturing maize varieties in northeast China that have hindered the development of physiological maturity (PM) at harvest and the use of mechanical grain harvesting (MGH). Under these conditions it is difficult to balance the drying characteristics of maize varieties and to make full use of accumulated temperature resources in such a way as to reduce grain moisture content (GMC) at harvest. RESULTS: The effective accumulated temperature (AcT) and the drying rates of different varieties vary. In northeast China, with a GMC of 25%, the growth periods of a fast‐drying variety (FDV) and a slow‐drying variety (SDV) were 114–192 days and 110–188 days respectively. After PM, the FDV needed 47 days and the SDV needed 51 days to reduce the GMC to be ready for MGH. Harvested with a GMC of 20%, the growth period for the FDV was 97–175 days and for the SDV it was 90–171 days. After PM, the FDV required 64 days and the SDV needed 70 days to reduce the GMC to be ready for MGH. CONCLUSION: Matching cultivars with AcT can help farmers to choose suitable varieties. Promoting MGH may boost maize production, thus ensuring China's food security. © 2023 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Published
2023
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31. Does nitrogen application rate affect the moisture content of corn grains?

Author

Zhai Juan, Xue Jun, Shao-kun Li, Xie RuiZhi, Liu Chao-wei, Zhang Yuan-meng, Wang KeRu, Hou Peng, Ming Bo, Zhang WanXu, and Zhang GuoQiang

Subjects
Agriculture (General), chemistry.chemical_element, physiological maturity, Plant Science, Biochemistry, nitrogen, S1-972, Animal science, Food Animals, medicine, Dehydration, Leaf area index, Water content, leaf area index, Ecology, Grain moisture, Maturity (sedimentology), food and beverages, Sowing, medicine.disease, Nitrogen, CORN GRAIN, grain moisture content, corn, chemistry, Animal Science and Zoology, Agronomy and Crop Science, Food Science
Abstract

Nitrogen fertilizer application is an important measure to obtain high and stable corn yield, and the moisture content of corn grains is an important factor affecting the quality of mechanical grain harvesting. In this study, four different nitrogen fertilizer treatments from 0 to 450 kg ha–1 pure nitrogen were set for a planting density of 12.0×104 plants ha–1 in 2017 and 2018, and 18 different nitrogen fertilizer treatments from 0 to 765 kg ha–1 pure nitrogen were set for planting densities of 7.5×104 and 12.0×104 plants ha–1 in 2019, to investigate the effect of nitrogen application rate on the moisture content of corn grains. Under each treatment, the growth of corn, leaf area index (LAI) of green leaves, grain moisture content, and grain dehydration rate were measured. The results showed that, as nitrogen application increased from 0 to 765 kg ha–1, the silking stage was delayed by about 1 day, the maturity stage was delayed by about 1–2 days, and the number of physiologically mature green leaves and LAI increased. At and after physiological maturity, the extreme difference in grain moisture content between different nitrogen application rates was 1.9–4.0%. As the amount of nitrogen application increased, the corn grain dehydration rate after physiological maturity decreased, but it did not reach statistical significance between nitrogen application rate and grain dehydration rate. No significant correlation was observed between LAI at physiological maturity and grain dehydration rate after physiological maturity. In short, nitrogen application affected the grain moisture content of corn at and after physiological maturity, however, the difference in grain moisture content among different nitrogen application rates was small. These results suggest that the effect of nitrogen application on the moisture content of corn grains should not be considered in agricultural production.

Published
2021

35. Root Characteristics for Maize with the Highest Grain Yield Potential of 22.5 Mg ha −1 in China.

Author

Zhang, Long, Liu, Guangzhou, Yang, Yunshan, Guo, Xiaoxia, Jin, Shuai, Xie, Ruizhi, Ming, Bo, Xue, Jun, Wang, Keru, Li, Shaokun, and Hou, Peng

Subjects
CORN, SOIL depth, GRAIN yields, PLANT spacing, CULTIVARS, GRAIN
Abstract

In maize (Zea mays L.), rational root structure promotes high grain yield under dense sowing conditions. This study was conducted at Qitai Farm in Xinjiang, China, in 2019 and 2021. A traditional wide and narrow row planting method was adopted, with wide rows of 0.7 m and narrow rows of 0.4 m. The cultivars DH618 and SC704, which have grain yield potentials of 22.5 and 15 Mg ha−1, respectively, were selected for study of the root structure and distribution characteristics under high-yield and high-density planting conditions. The highest yield (20.24 Mg ha−1) was achieved by DH618 under a planting density of 12 × 104 plants ha−1. The root structure of DH618 was well developed at that planting density, and the root dry weight (RDW) was 17.49 g plant−1 and 14.65 g plant−1 at the silking and maturity stages, respectively; these values were 7.56% and 11.86% higher, respectively, than those of SC704. At the silking stage, the proportions of RDW at soil depths of 0–10, 10–20, 20–40, and 40–60 cm were 66.29%, 11.83%, 16.51%, and 5.38%, respectively, for DH618; over the 20–60 cm soil layer, this was an average of 4.04% higher than the RDW of SC704. At maturity, the proportions of RDW at soil depths of 0–10, 10–20, 20–40, and 40–60 cm were 61.40%, 11.19%, 17.19%, and 10.21%, respectively, for DH618, which was an average of 9.59% higher than that of SC704 over the 20–60 cm soil layer. At maturity, DH618 roots were mainly distributed in the narrow rows, accounting for 72.03% of the root structure; this was 9.53% higher than the roots of SC704. At silking and maturity, the root weight densities of DH618 were 471.98 g m−3 and 382.98 g m−3, respectively (5.18% and 5.97% higher, respectively, than the root weight densities of SC704). The root lengths of DH618 were 239.72 m plant−1 and 199.04 m plant−1 at the silking and maturity stages, respectively; these were 16.45% and 25.39% higher, respectively, than the root lengths of SC704. The root length densities were 0.58 cm cm−3 and 0.46 cm cm−3 at the silking and maturity stages, respectively, and these were 16.86% and 17.08% higher, respectively, than the root length densities of SC704. This study indicated that the maize hybrid DH618 had a more developed root structure with increased root distribution in the deep soil and narrow rows under high-density planting compared to cultivar SC704, contributing to high grain yield under dense planting. [ABSTRACT FROM AUTHOR]

Published
2023
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39. Estimation of maize straw production and appropriate straw return rate in China

Author

Liu, Wanmao, primary, Liu, Yuee, additional, Liu, Guangzhou, additional, Xie, Ruizhi, additional, Ming, Bo, additional, Yang, Yunshan, additional, Guo, Xiaoxia, additional, Wang, Keru, additional, Xue, Jun, additional, Wang, Yonghong, additional, Zhao, Rulang, additional, Zhang, Wenjie, additional, Wang, Yongjun, additional, Bian, Shaofeng, additional, Ren, Hong, additional, Zhao, Xiaoyan, additional, Liu, Peng, additional, Chang, Jianzhi, additional, Zhang, Guohe, additional, Liu, Jiayou, additional, Yuan, Liuzheng, additional, Zhao, Haiyan, additional, Shi, Lei, additional, Zhang, Lili, additional, Yu, Lin, additional, Gao, Julin, additional, Yu, Xiaofang, additional, Wang, Zhigang, additional, Shen, Liguo, additional, Ji, Ping, additional, Yang, Shuzong, additional, Zhang, Zhongdong, additional, Xue, Jiquan, additional, Ma, Xiangfeng, additional, Wang, Xiuquan, additional, Lu, Tingqi, additional, Dong, Benchun, additional, Li, Gang, additional, Ma, Baoxin, additional, Li, Jinqin, additional, Deng, Xiufeng, additional, Liu, Yonghong, additional, Yang, Qin, additional, Jia, Chunlan, additional, Chen, Xianping, additional, Fu, Hua, additional, Li, Shaokun, additional, and Hou, Peng, additional

Published
2022
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