Peng Chen

Prof. Peng Chen

orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 July 2023 in Agricultural Water Management
Verified
Journal Article
Open access
YHYu Han
Yu Han
ZZZhongxue Zhang
Zhongxue Zhang
TLTiecheng Li
Tiecheng Li
PCPeng Chen
Peng Chen
TNTangzhe Nie
Tangzhe Nie
SDSicheng Du
Sicheng Du

17 January 2023 in Agricultural Water Management
Verified
Journal Article
Open access
TNTangzhe Nie
Tangzhe Nie
JHJianyi Huang
Jianyi Huang
ZZZhongxue Zhang
Zhongxue Zhang
PCPeng Chen
Peng Chen
TLTiecheng Li
Tiecheng Li
CDChanglei Dai
Changlei Dai

28 February 2023 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
MLMing Liu
Ming Liu
FSFang Song
Fang Song
ZYZhihao Yin
Zhihao Yin
PCPeng Chen
Peng Chen
ZZZhongxue Zhang
Zhongxue Zhang
Ennan ZhengEnnan Zheng
Ennan Zheng

18 January 2024 in Agronomy
Verified
Journal Article
Open access
PDF file
ZWZelin Wang
Zelin Wang
TNTangzhe Nie
Tangzhe Nie
DLDehao Lu
Dehao Lu
PZPeng Zhang
Peng Zhang
剑李剑锋 李
剑锋 李
Peter WallerPeter Waller
Peter Waller
Sorghum (Sorghum bicolor L.) has emerged as a pivotal global food crop. Consequently, it is imperative to explore sustainable and eco-friendly strategies to achieve sustainable sorghum production with a high yield. This study aimed to reveal the effects of irrigation management and nitrogen rates and their interactions on sorghum growth traits, yield and soil nitrate-N and ammonium-N accumulation to improve irrigation and nitrogen practices under drip irrigation. A 2-year (2021 and 2022) field experiment was conducted on drip-irrigated fertilized sorghum in Heilongjiang Province to investigate the effects of three lower levels of soil moisture (80% (HI), 70% (NI), and 60% (LI) of field capacity) with four nitrogen rates at 225, 150, 75 and 0 kg/ha (designated as HN, NN, LN and WN, respectively) on sorghum growth, yield and soil nitrogen accumulation. The results indicated that irrigation management and nitrogen rate interaction had a significant effect on sorghum growth (plant height, stem diameter, leaf area index (LAI), and SPAD value), yield, aboveground biomass and 0~60 cm soil nitrogen accumulation (p < 0.05). The NNHI treatment demonstrated the highest plant height (120.9 and 121.8 cm) and LAI (2.738 and 2.645) in 2021 and 2022, and there was a significant positive correlation between plant height, LAI, and yield (p < 0.01). However, the NNNI treatment exhibited the highest yield (7477.41 and 7362.27 kg/ha) in 2021 and 2022, sorghum yield increased and then decreased with an increase in irrigation management and nitrogen rate. In addition, soil nitrate-N and ammonium-N accumulation were significantly affected by the interaction of irrigation management and nitrogen rate (p < 0.05) while irrigation management had no significant effect on the accumulation of nitrate-N and ammonium-N. Soil nitrate-N and ammonium-N accumulation increased with the increasing nitrogen rate. Although yield differences between the NNNI and HNNI treatments were not significant, the NNNI treatment with a lower soil moisture limit of 70% field capacity and a nitrogen rate of 150 kg/ha accumulated 10.4% less nitrate-N in soil than the HNNI treatment, reduced risk of nitrate nitrogen leaching. The regression analysis indicated that the optimal irrigation management and nitrogen rate management practices of 71.93% of the soil moisture lower limit and 144.58 kg/ha of nitrogen rate was an optimal strategy for favorable sorghum growth, high-yielding and low soil nitrate-N accumulation of sorghum. This study provides a scientific reference for precise water and fertilizer management in sorghum.

8 February 2025 in Geoderma
Verified
Journal Article
Open access
PCPeng Chen
Peng Chen
Junzeng XuJunzeng Xu
Junzeng Xu
KWKechun Wang
Kechun Wang
ZZZhongxue Zhang
Zhongxue Zhang
ZZZhou Zhaoqiang
Zhou Zhaoqiang
LLLinxian Liao
Linxian Liao

26 November 2022 in Agriculture
Verified
Journal Article
Open access
PDF file
TNTangzhe Nie
Tangzhe Nie
RYRong Yuan
Rong Yuan
SLSihan Liao
Sihan Liao
ZZZhongxue Zhang
Zhongxue Zhang
ZGZhenping Gong
Zhenping Gong
HJHao Jiang
Hao Jiang
Climate change refers to the statistically significant changes in the mean and dispersion values of meteorological factors. Characterizing potential evapotranspiration (ET0) and its climatic causes will contribute to the estimation of the atmospheric water cycle under climate change. In this study, based on daily meteorological data from 26 meteorological stations in Heilongjiang Province from 1960 to 2019, ET0 was calculated by the Penman–Monteith formula, linear regression method and the Mann–Kendall trend test were used to reveal the seasonal and inter-annual changing trend of ET0. The sensitivity-contribution rate method was used to clarify the climatic factors affecting ET0. The results showed that: (1) From 1960 to 2019, the maximum temperature (Tmax), minimum temperature (Tmin) and average temperature (Tmean) showed an increasing trend, with climate tendency rate of 0.22 °C per decade (10a), 0.49 °C/(10a), 0.36 °C/(10a), respectively. The relative humidity (RH), wind speed (U) and net radiation (Rn) showed a decreasing trend, with a climate tendency rate of −0.42%/(10a), −0.18 m/s/(10a), −0.08 MJ/m2/(10a), respectively. (2) ET0 showed a decreasing trend on seasonal and inter-annual scales. Inter-annually, the average climate tendency rate of ET0 was −8.69 mm/(10a). seasonally, the lowest climate tendency rate was −6.33 mm/(10a) in spring. (3) ET0 was negatively sensitive to Tmin, and RH, while positively sensitive to Tmax, TmeanU and Rn, its sensitivity coefficient of U was the highest, which was 1.22. (4) The contribution rate of U to ET0 was the highest on an inter-annual scale as well as in spring and autumn, which were −8.96%, −9.79% and −13.14%, respectively, and the highest contribution rate to ET0 were Rn and Tmin in summer and winter, whose contribution rates were −4.37% and −11.46%, respectively. This study provides an understanding on the response of evapotranspiration to climatic change and further provides support on the optimal allocation of regional water resource and agricultural water management under climate change.