Subsoiling and Sowing Time Influence Soil Water Content, Nitrogen Translocation and Yield of Dryland Winter Wheat

Liang, Yan Fei; Khan, Shahbaz; Ren, Aixia; Lin, Wen; Anwar, Syamsul; Sun, Mei; Gao, Zhiqiang

doi:10.3390/agronomy9010037

Cited by 28 publications

(23 citation statements)

References 19 publications

(25 reference statements)

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“…The lowest grain yield was obtained in late sowing (January). This coincides with the findings of researches which affirmed that both early and medium sowing were beneficial for obtaining a highest yield, but the early sowing was more favorable to increase the wheat yield 21 – 26 . In addition, the results of predictions of the effect of sowing date on wheat yield using APSIM model were also consistent with many of the findings of simulations using other crop models in the semi-arid environment 34 , 115 – 118 .…”

Section: Discussionsupporting

confidence: 90%

“…The key to tackle these challenges is to adapt best management practices, which are helpful for optimizing wheat grain yield such as setting an optimum sowing date and using an appropriate wheat variety for the region 5 , 10 – 20 . Many studies confirm that the early and medium sowing date was beneficial for improving the soil water storage and increased the grain yield, and a reduction in yield and development of wheat when sowing is delayed after the optimum time, especially in a dry year 21 – 26 . But just a few studies which confirm that late sowing increases wheat yield 27 .…”

Section: Introductionmentioning

confidence: 99%

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Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model

Briak

Kebede

2021

Sci Rep

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In this study, we evaluated the suitability of semi-arid region of Central Morocco for wheat production using Agricultural Production Systems sIMulator (APSIM) considering weather, soil properties and crop management production factors. Model calibration was carried out using data collected from field trials. A quantitative statistics, i.e., root mean square error (RMSE), Nash–Sutcliffe efficiency (NSE), and index of agreement (d) were used in model performance evaluation. Furthermore, series of simulations were performed to simulate the future scenarios of wheat productivity based on climate projection; the optimum sowing date under water deficit condition and selection of appropriate wheat varieties. The study showed that the performance of the model was fairly accurate as judged by having RMSE = 0.13, NSE = 0.95, and d = 0.98. The realization of future climate data projection and their integration into the APSIM model allowed us to obtain future scenarios of wheat yield that vary between 0 and 2.33 t/ha throughout the study period. The simulated result confirmed that the yield obtained from plots seeded between 25 October and 25 November was higher than that of sown until 05 January. From the several varieties tested, Hartog, Sunstate, Wollaroi, Batten and Sapphire were yielded comparatively higher than the locale variety Marzak. In conclusion, APSIM-Wheat model could be used as a promising tool to identify the best management practices such as determining the sowing date and selection of crop variety based on the length of the crop cycle for adapting and mitigating climate change.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model

Briak

Kebede

2021

Sci Rep

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“…These results were consistent with the grain yield (Table 2) and nitrate nitrogen profile distribution (Figure 5). Therefore, subsoiling helped increase NUE and grain yield (Liang et al 2019). Subsoiling, breaking the plough pan, showed the great value to be popularized in this area.…”

Section: Resultsmentioning

confidence: 99%

Effect of subsoiling on tillers, root density and nitrogen use efficiency of winter wheat in loessal soil

Lv¹,

Han²,

Wang³

et al. 2019

PLANT SOIL ENVIRON

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A 2-year field experiment was carried out in loessal soil in a semi-humid climate to research winter wheat (Triticum aestivum L.) growth and nitrogen use efficiency. The result showed that subsoiling increased root penetration and promoted deep soil water absorption, which resulted in high resilience to the adverse dry climate. Soil NO<sub>3</sub><sup>–</sup>-N residue throughout the profile was decreased but increased in rotary tillage. Grain yield was significantly increased by 21.9% and 11.3% in 2016 and 2017, respectively, mainly due to the significantly larger spikes per hectare and grains per spike. Nitrogen use efficiency was significantly improved by 26.7% in 2016 and 13.8% in 2017. For loessal soil in semi-humid climate, breaking the plough pan was necessary, and it was useful for the increase of grain yield and nitrogen use efficiency.

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“…Tillage is the most promising treatment as it positively impacts wheat yield and soil fertility (Saison et al, 2006;Carrera et al, 2007;Cookson, Murphy & Roper, 2008). Tillage during the fallow period improves the efficiency of precipitation use, soil water storage, and nitrogen accumulation and remobilization (Liang et al, 2019). Tillage also affects the composition and abundance of the rhizosphere soil bacterial communities (Teaumroong , 2010;Buyer et al, 2010), which vary with the tillage rotations (Young & Ritz, 2000;Zhao et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Responses of rhizosphere soil bacteria to 2-year tillage rotation treatments during fallow period in semiarid southeastern Loess Plateau

Xia

Liu

Gao

et al. 2020

PeerJ

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Background Soil compaction can be mitigated by deep tillage and subsoiling practices following a long period of no-tillage. Fallow tillage rotation methods are frequently used to improve water availability in the soils of the southeastern Loess Plateau region of China. Rhizosphere soil bacteria are ecologically important for the transformation of matter and energy in the plant root system and can be influenced by tillage rotation treatments. However, the effect of tillage rotations on the bacterial community and structure of rhizosphere soil is not well understood. Methods A two-year field experiment was conducted with four tillage rotation treatments, including subsoil–subsoil (SS-SS), subsoil–deep tillage (SS-DT), deep tillage–deep tillage (DT-DT), and the control treatment of no-tillage–no-tillage (NT-NT). Our study was conducted during wheat’s fallow period to investigate the abundance, diversity, and functions of rhizosphere soil bacteria using high-throughput sequencing technology. Results Our results showed that tillage rotation methods significantly influenced the bacterial diversity and composition of the rhizosphere soil in the plough layer (20–40 cm depth) by altering the moisture content of the soil. The metabolism, environmental information processing, and genetic information processing of the bacteria in the rhizosphere soil were affected. The most abundant phyla across all samples were Proteobacteria, Actinobacteria, Acidobacteria, Planctomycetes, Bacteroidetes, Gemmatimonadetes, Frimicutes, Chloroflexi, Nitrospirae, and Verrucomicrobia, which are classic bacterial decomposers in soil. The bacterial diversity and composition was similar for treatments causing higher soil perturbation (SS-DT and DT-DT), which disrupted the balance between aerobic and anaerobic bacteria. The less disruptive tillage methods (SS-SS and NT-NT), preserved the integrity of the soil bacteria. However, the NT-NT treatment may have led to soil compaction, particularly in the 20–40 cm layer. These results suggested that SS-SS was the most effective tillage rotation practice to accumulate soil moisture, maintain the balance between aerobic and anaerobic bacteria, and to enhance the metabolic capacity of rhizosphere soil bacteria. This method may have a significant impact on the sustainable development and farming practices of dryland agriculture.

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Subsoiling and Sowing Time Influence Soil Water Content, Nitrogen Translocation and Yield of Dryland Winter Wheat

Cited by 28 publications

References 19 publications

Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model

Wheat (Triticum aestivum) adaptability evaluation in a semi-arid region of Central Morocco using APSIM model

Effect of subsoiling on tillers, root density and nitrogen use efficiency of winter wheat in loessal soil

Responses of rhizosphere soil bacteria to 2-year tillage rotation treatments during fallow period in semiarid southeastern Loess Plateau

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