Response of winter wheat grain yield and water use efficiency to deficit irrigation in the North China Plain

Han, Huifang; Yan, Yujie Ren Zhenxing

doi:10.9755/ejfa.2017.v29.i12.1567

Cited by 5 publications

(8 citation statements)

References 21 publications

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“…Complex crop responses to water stress have continually been a research focus of deficit irrigation (Andarzian et al., ; Iqbal et al., ; Mkhabela & Bullock, ; Steduto, Hsiao, Raes, & Fereres, ; Toumi et al., ). Many studies have analyzed the relationships between crop growth, ET, and RWU (Goosheh, Pazira, Gholami, Andarzian, & Panahpour, ; Han et al., ; Jha et al., ), while others have studied crop growth and ET under deficit irrigation (Salemi et al., ; Yu, Zeng, Su, Cai, & Zheng, ). Andarzian et al.…”

Section: Introductionmentioning

confidence: 99%

“…Serious water shortages force people to implement deficit irrigation. Researchers have reported that this irrigation method can effectively improve water use efficiency without many adverse effects on yield (Han, Ren, Gao, Yan, & Li, 2017;Li, Bian, Liu, Ma, & Liu, 2015).…”

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confidence: 99%

“…Complex crop responses to water stress have continually been a research focus of deficit irrigation (Andarzian et al, 2011;Iqbal et al, 2014;Mkhabela & Bullock, 2012;Steduto, Hsiao, Raes, & Fereres, 2009;Toumi et al, 2016). Many studies have analyzed the relationships between crop growth, ET, and RWU (Goosheh, Pazira, Gholami, Andarzian, & Panahpour, 2018;Han et al, 2017;Jha et al, 2017), while others have studied crop growth and ET under deficit irrigation (Salemi et al, 2011;Yu, Zeng, Su, Cai, & Zheng, 2016). Andarzian et al (2011), Benabdelouahab et al (2016) and Mkhabela and Bullock (2012) evaluated the performance of the AquaCrop model for its ability to simulate wheat yield and SWC under different irrigation scenarios.…”

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confidence: 99%

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Modelling root water uptake under deficit irrigation and rewetting in Northwest China

et al. 2020

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The spatial and temporal distribution of root water uptake (RWU) under deficit irrigation are critical factors for crop growth. The SWAP (soil–water–atmosphere–plant) model was applied to analyze the pattern of RWU for winter wheat (Triticum aestivum L.) under three irrigation levels: no water deficit (100% evapotranspiration [ET]), moderate water deficit (80% ET) and severe water deficit (60% ET). The 2–yr experiments indicated that SWAP was highly accurate (mean relative error [MRE] <21.7%, root mean square error [RMSE] <0.07 cm3 cm−3) in simulating the soil water content (SWC). Root water uptake was significantly (P < 0.01) different in the 0‐ to 60‐cm soil layer. The 0‐ to 60‐cm soil layer was the main source of RWU, and the average value accounted for 89.4% of the total root zone. Water stress had the greatest adverse effect on heading to grain filling, reducing RWU by 0.0026 cm3 cm−3 d−1. The critical SWC was 67.9% of the field capacity, when the RWU dropped to 95% of the control treatment. After rewetting, compensation and hysteresis effects on RWU were observed. The ranking of RWU recovery ability after rewetting was: emergence to jointing > jointing to heading > grain filling to maturity > heading to grain filling. Recovery time of RWU was 2 to 11 d and gradually increased with growth stage. The simplified RWU model established using path analysis and regression performed well (R2 = 0.836; P < 0.01) for RWU. This provided a more convenient way to accurately estimate RWU with fewer variables.

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Section: Introductionmentioning

confidence: 99%

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Modelling root water uptake under deficit irrigation and rewetting in Northwest China

et al. 2020

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“…At present, several water‐saving irrigation technologies have made good progress and have been popularized in northwest China. These include deficit irrigation, drip irrigation, sprinkler irrigation, and film‐mulched irrigation . Deficit irrigation may be the appropriate choice to reduce irrigation water amounts and improve crop water efficiency .…”

Section: Introductionmentioning

confidence: 99%

“…Compared to full irrigation, deficit irrigation can reduce irrigation depth by 20–50%, thus resulting in greater productivity of chili pepper plants in northwest China . Moreover, deficit irrigation can be applied easily in the fields and has been widely implemented in recent years . Previous research mainly focused on the effects of deficit irrigation on winter wheat yield and quality, and a few studies have analyzed the effects of deficit irrigation on soil CO 2 emissions from winter wheat fields.…”

Section: Introductionmentioning

confidence: 99%

Deficit irrigation effectively reduces soil carbon dioxide emissions from wheat fields in Northwest China

et al. 2019

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BACKGROUND: An irrigation regime is an important factor in regulating soil CO 2 emissions from wheat fields. Deficit irrigation can be applied easily in the fields and has been implemented in northwest China. Previous studies have mainly focused on the effects of deficit irrigation on crop yield and quality. Studies on its environmental impacts are sparse. RESULTS: Soil CO 2 fluxes from deficit-irrigated fields were lower than those from full irrigation (CK) during most of the growing season. Cumulative soil CO 2 emissions from deficit-irrigated fields were reduced by 10.2-25.5%, compared with the CK. Peaks of soil CO 2 fluxes were observed 3-7 days after irrigation in the water-filled pore space (WFPS) range of 65.7-80.4%. Under different irrigation regimes, significant positive correlations were observed between soil CO 2 fluxes and WFPS (P < 0.01), but no significant correlations were found between soil CO 2 fluxes and soil temperature. Compared to CK, yields for the T1, T2, and T4 were significantly reduced (P < 0.05) but the yield for T3 was only reduced by 2.3% (P > 0.05); T3 significantly reduced soil CO 2 emissions by 10.2% (P < 0.05) and reduced the irrigation water amount by 5.7%. CONCLUSION: Deficit irrigation effectively reduced CO 2 emissions from winter wheat field soils. T3 may be a water-saving, CO 2 emission-reducing and high-yield irrigation regime for winter wheat fields in northwest China. The research laid a preliminary theoretical foundation for formulating winter wheat irrigation systems that are water saving, emission reducing, and that produce high yields.

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Simulation of spatial variability in crop leaf area index and yield using agroecosystem modeling and geophysics‐based quantitative soil information

Brogi

Huisman

Herbst

et al. 2020

Vadose Zone Journal

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Agroecosystem models that simulate crop growth as a function of weather conditions and soil characteristics are among the most promising tools for improving crop yield and achieving more sustainable agricultural production systems. This study aims at using spatially distributed crop growth simulations to investigate how field-scale patterns in soil properties obtained using geophysical mapping affect the spatial variability of soil water content dynamics and growth of crops at the square kilometer scale. For this, a geophysics-based soil map was intersected with land use information. Soil hydraulic parameters were calculated using pedotransfer functions. Simulations of soil water content dynamics performed with the agroecosystem model AgroC were compared with soil water content measured at two locations, resulting in RMSE of 0.032 and of 0.056 cm 3 cm −3 , respectively. The AgroC model was then used to simulate the growth of sugar beet (Beta vulgaris L.), silage maize (Zea mays L.), potato (Solanum tuberosum L.), winter wheat (Triticum aestivum L.), winter barley (Hordeum vulgare L.), and winter rapeseed (Brassica napus L.) in the 1-by 1-km study area. It was found that the simulated leaf area index (LAI) was affected by the magnitude of simulated water stress, which was a function of both the crop type and soil characteristics. Simulated LAI was generally consistent with the observed LAI calculated from normalized difference vegetation index (LAI NDVI) obtained from RapidEye satellite data. Finally, maps of simulated agricultural yield were produced for four crops, and it was found that simulated yield matched well with actual harvest data and literature values. Therefore, it was concluded that the information obtained from geophysics-based soil mapping was valuable for practical agricultural applications.

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Response of winter wheat grain yield and water use efficiency to deficit irrigation in the North China Plain

Cited by 5 publications

References 21 publications

Modelling root water uptake under deficit irrigation and rewetting in Northwest China

Modelling root water uptake under deficit irrigation and rewetting in Northwest China

Deficit irrigation effectively reduces soil carbon dioxide emissions from wheat fields in Northwest China

Simulation of spatial variability in crop leaf area index and yield using agroecosystem modeling and geophysics‐based quantitative soil information

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