Effect of different drip fertigation methods on maize yield, nutrient and water productivity in two-soils in Northeast China

Wu, Dingfeng; Xu, Xinxing; Chen, Yanling; Shao, Hui; Sokolowski, Eldad; Mi, Guohua

doi:10.1016/j.agwat.2018.10.018

Cited by 67 publications

(27 citation statements)

References 37 publications

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“…However, the study also reports the possible rise in the sensitivity of crops to water stress under the higher nitrogen fertilization. Besides, drip fertigation with sufficient amounts of mineral fertilizers drastically increases corn grain yield and water use efficiency (Wu et al, 2019). And there are several reports which are in contradiction to our results.…”

Section: Tablecontrasting

confidence: 96%

The effect of tillage system and fertilization on corn yield and water use efficiency in irrigated conditions of the South of Ukraine

et al. 2019

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Efficient water management in agriculture is an important part of the general programme on water resources preservation. This study is devoted to the determination of the effects of soil processing system and mineral fertilization on the water use efficiency and productivity of grain corn (Zea mays Linnaeus, 1753). The trials were conducted in 2017–2018 on irrigated land in the South of Ukraine. The field experiments were carried out on the experimental plots of the Institute of Irrigated Agriculture of the NAAS in four replications. We studied the following agrotechnological parameters and their combinations: Factor A – primary tillage type and depth within different tillage systems in the short crop rotation (grain corn – grain sorghum – winter wheat – soybean); Factor B – application rates of mineral fertilizers (N0P0, N120P60, N180P60). We established that the highest yield of grain accompanied by the best water use efficiency was provided by the cultivation technology with disk cultivator tillage on the depth of 8–10 cm within the differentiated tillage system in the crop rotation under the maximum nutritive background of N180P60. This agrotechnological variant resulted in a corn grain yield of 14.51 and 14.59 t/ha in 2017 and 2018 years of the study, respectively. The coefficient of water use efficiency, which is the relation of the water used by the crop to the yield, in this variant was the lowest – 39.6 and 42.0 mm/t in 2017 and 2018, respectively, which indicates the optimum response of corn grain to watering. The worst indexes of water use efficiency and corn productivity were determined in the experimental variant with disk cultivator tillage on the depth of 12–14 cm within the subsoil tillage system within the crop rotation under non-fertilized conditions. We determined that strengthening of the crop nutrition under the rational tillage system in crop rotation is helpful in optimization of the crop water use in the irrigated conditions of the South of Ukraine, which is very important in the current conditions of freshwater scarcity.

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Section: Tablecontrasting

confidence: 96%

The effect of tillage system and fertilization on corn yield and water use efficiency in irrigated conditions of the South of Ukraine

et al. 2019

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“…A better approach is to install a drip irrigation system and apply fertilizers together with irrigation (drip fertigation). A recent study in Northeast China indicated that subsurface drip fertigation and surface drip fertigation could increase maize yields by 10% and 28%, respectively, and also result in higher economic income in sandy soil fields [60]. More research is needed to further improve the algorithm and N management strategies for the aeolian sandy soil.…”

Section: Improving the Nitrogen Fertilizer Optimization Algorithmsmentioning

confidence: 99%

Developing Active Canopy Sensor-Based Precision Nitrogen Management Strategies for Maize in Northeast China

et al. 2019

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Precision nitrogen (N) management (PNM) strategies are urgently needed for the sustainability of rain-fed maize (Zea mays L.) production in Northeast China. The objective of this study was to develop an active canopy sensor (ACS)-based PNM strategy for rain-fed maize through improving in-season prediction of yield potential (YP 0 ), response index to side-dress N based on harvested yield (RI Harvest ), and side-dress N agronomic efficiency (AE NS ). Field experiments involving six N rate treatments and three planting densities were conducted in three growing seasons (2015)(2016)(2017) in two different soil types. A hand-held GreenSeeker sensor was used at V8-9 growth stage to collect normalized difference vegetation index (NDVI) and ratio vegetation index (RVI). The results indicated that NDVI or RVI combined with relative plant height (NDVI*RH or RVI*RH) were more strongly related to YP 0 (R 2 = 0.44-0.78) than only using NDVI or RVI (R 2 = 0.26-0.68). The improved N fertilizer optimization algorithm (INFOA) using in-season predicted AE NS optimized N rates better than the N fertilizer optimization algorithm (NFOA) using average constant AE NS . The INFOA-based PNM strategies could increase marginal returns by 212 $ ha −1 and 70 $ ha −1 , reduce N surplus by 65% and 62%, and improve N use efficiency (NUE) by 4%-40% and 11%-65% compared with farmer's typical N management in the black and aeolian sandy soils, respectively. It is concluded that the ACS-based PNM strategies have the potential to significantly improve profitability and sustainability of maize production in Northeast China. More studies are needed to further improve N management strategies using more advanced sensing technologies and incorporating weather and soil information.Sustainability 2019, 11, 706 2 of 26 as climate change and tropospheric ozone pollution, can also negatively affect crop yields [7,8]. N fertilizer related greenhouse gas (GHG) emissions (nitrous oxide under wet conditions and ammonia under hot conditions) have exceeded the corresponding gains in soil carbon related to its effect on increased biomass by 700% in China [9]. Therefore, optimizing N management for maize production to minimize the adverse environmental impacts is crucially important for sustainable development of agriculture [5,10].The optimum N rate depends on crop N demand and soil N supply. The crop N demand is determined by the plant growth status and grain yield potential, while the soil N supply is a net result of mineralization, immobilization and losses of soil N. They are both influenced by many factors such as seasonal temperature, precipitation, physical and biogeochemical soil properties, and management history [11]. The interactions between soil water and N determine the growth, development and yield of maize. Efficient utilization of water and N can only be realized if they are closely matched [12]. Climate conditions can affect optimum N via various processes in soil such as nitrification, denitrification, leaching, and mineralization, which will modula...

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“…Yang et al [41], modeling the effects of plastic film mulching on irrigated maize yield and water use efficiency in sub-humid Northeast China, found the average simulated grain yield and WUE for mulched treatments were 8% and 13% greater compared to no-mulched. Wu et al [42] analyzed the effect of different drip fertigation methods on maize yield, nutrient and water productivity in two soils (clay and sandy soil) in Northeast China. The result showed that drip fertigation improved soil water and increased maize yield and water use efficiency.…”

Section: Introductionmentioning

confidence: 99%

Water Use Efficiency of Soybean under Water Stress in Different Eroded Soils

Xie

Liu

et al. 2020

Water

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Soil erosion could change the effective storage of soil moisture and affected crop water use efficiency (WUE). To quantitative study differences in the WUE of soybean and the crop’s response to water stress for soils with different degrees of erosion in northeastern China, three erosion degrees—(1) lightly, (2) moderately and (3) severely—eroded black undisturbed soils and four years (from 2013 to 2016) of soybean pot experiments were used to control soil water content (100%, 80%, 60%, and 40% field capacity (FC)) and observe the crop growth processes. To study the relationships between erosion–water use–productivity, the following results were achieved: (1) the optimal water content was 80% FC for lightly eroded soil (L) and 100% FC for both moderately (M) and severely (S) eroded soil. Yield (Y) was best in M with the value of 3.12 t ha−1, which was 4.6% and 85.5% higher than L and S, respectively. Under the conditions of adequate water supply, there was no significant change in Land M, but the values were significantly different for the S ( p < 0.05). (2) Y and biomass (B) were sensitive to water stress except in the branching stage. (3) The values of WUEY and WUEB for the three eroded soils were the best at 80% FC. The stress coefficient (SF) values of the three eroded soils were not significantly different. In the flowering and pod formation stage, the SF reached the maximum under waterlogging stress. While the water shortage stress reached the maximum in the seed filling stage, the soil water content decreased by 10%, and the WUEB decreased by 15%, which was 2.5 times more powerful than the waterlogging stress. This study indicated the change in soybean growth with respect to the water response caused by soil erosion, and provided a scientific basis and data for the reasonable utilization of black soil with different erosion intensities. The results also provided important parameters for the growth of simulated crops.

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Effect of different drip fertigation methods on maize yield, nutrient and water productivity in two-soils in Northeast China

Cited by 67 publications

References 37 publications

The effect of tillage system and fertilization on corn yield and water use efficiency in irrigated conditions of the South of Ukraine

The effect of tillage system and fertilization on corn yield and water use efficiency in irrigated conditions of the South of Ukraine

Developing Active Canopy Sensor-Based Precision Nitrogen Management Strategies for Maize in Northeast China

Water Use Efficiency of Soybean under Water Stress in Different Eroded Soils

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