Long‐term fertilization effects on crop yield and desalinized soil properties

Xiao-guang, LI; Liu, Xiuping; Liu, Xiaojing

doi:10.1002/agj2.20338

Cited by 8 publications

(3 citation statements)

References 47 publications

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“…This characteristic is beneficial to the nutrient supply and yield improvement of crops. Related studies have also shown the effect on production increase [39][40][41][42]. However, this study indicated that the contribution of organic materials to PC was small, although the total SOC s increased.…”

Section: Effects On Soc Stability Derived From Different Nss Practicesmentioning

confidence: 54%

Responses of Soil Carbon Pools and Carbon Management Index to Nitrogen Substitution Treatments in a Sweet Maize Farmland in South China

Chen

Liu

Cai

et al. 2022

Plants

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In China, excessive nitrogen fertilizer application in sweet maize fields contributes to greenhouse gas emissions. This study used maize straw (MS), cow dung (CD), biogas residue (BR), and straw-based biochar (CB) to substitute the mineral nitrogen fertilizer at 20% and 50% ratios in the Pearl River Delta in China. In comparison with a conventional amount of mineral nitrogen fertilizer (CK), the soil organic carbon (SOC) storages of the different treatments increased by 6.5–183.0%. The CB treatment significantly improved the inert organic carbon pool in the soil, while other types of organic materials promoted the formation of activated carbon pools. The treatments increased the soil carbon pool management index by 21.1–111.0% compared to the CK. Moreover, the CB treatments increased the soil carbon sequestration index by 78.3% and 155.8% compared to the CK. In general, substituting the mineral N fertilizer with BR, CB, and CD could improve the SOC accumulation in sweet maize farmland in South China. The CB at the high substitution level was the best measure for stabilizing carbon sequestration in the sweet maize cropping system. This experiment provides valuable information for ensuring the clean production of sweet maize in a typical subtropical area in East Asia.

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Section: Effects On Soc Stability Derived From Different Nss Practicesmentioning

confidence: 54%

Responses of Soil Carbon Pools and Carbon Management Index to Nitrogen Substitution Treatments in a Sweet Maize Farmland in South China

Chen

Liu

Cai

et al. 2022

Plants

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“…Similarly, Yang et al (2014) reported that combinations of organic and inorganic nitrogen are likely to increase achievable yields and improve soil fertility with the wheatmaize system. This might be due to all organic fertilizers being used as base fertilizers in the wheat season, all chemical fertilizers being used in maize planting, and organic fertilizer incorporation into the soil, which increased soil OM contents, soil water availability, and aeration (Choudhary et al, 2018;Li et al, 2020). Welbaum et al 2004) and Li et al (2012) reported that when organic fertilizers incorporation can delay the senescence rate of crop roots and leaves, prolong the photosynthetic time of crops, increase the grain quality of ears by prolonging the grain filling time, and finally increase the yield.…”

Section: Effect Of Organic Fertilizer Incorporation On Crop Yieldsmentioning

confidence: 99%

Effects of organic fertilizer incorporation practices on crops yield, soil quality, and soil fauna feeding activity in the wheat-maize rotation system

Zhou

Zhang

Jiang

et al. 2022

Front. Environ. Sci.

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The decline in soil quality is becoming a significant process of soil degradation. Optimizing organic fertilizer incorporation practices in cropland is essential to enhancing crop productivity and soil health. However, that requires a comprehensive understanding of crop yield and soil quality reaction across an application gradient of organic fertilizer. We investigated the effect of organic fertilizer incorporation practices on crop yield, soil quality, and fauna feeding activity from fluvo-aquic soils on wheat (Triticum aestivum)-maize (Zea mays) rotation field. The six treatments included were unfertilized N control (UC), traditional chemical fertilizer application (TF, 600 N kg ha−1 year−1), and recommended chemical fertilization (RF, 400 N kg ha−1 year−1) with no organic fertilizer application rate, low-level 15.0 (RFLO), medium-level 30.0 (RFMO), and high-level 45.0 t ha−1 year−1 (RFHO) application, respectively. The research findings show that the yield with organic fertilizer incorporation treatments increased 26.4%–44.6% for wheat and 12.5%–40.8% for maize compared to RF plots. The long-term organic fertilizer incorporation rate increased organic carbon from 54.7% to 110.6% versus UC plots and 27.9%–74.0% versus chemical fertilizer (TF and RF) treatments, and the total nitrogen content of soil increased from 41.8% to 59.2%, and 24.6%–39.2%. The long-term inorganic fertilizer combined with organic fertilizer incorporation practices significantly enhanced soil sucrose (30.1%–51.9%), urease (28.4%–38.3%), and β-1,4-glucosidase (34.6%–122.4%) activity. Still, nitrite reductase, polyphenol oxidase, and catalase significantly lower 27.3%–49.9%, 8.5%–26.3% and 23.3%–34.3% than single applications of inorganic N fertilizer groups. Meanwhile, the results showed that organic fertilizer incorporation practices improved soil fauna feeding activity by 35.2%–42.5%, and the excessive application of inorganic N fertilizer reduced the activity level of soil fauna.

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“…Soil fertility refers to the capacity for soil to offer different nutrients for crop growth, significantly affecting crop yield [1,2]. Scientific and reasonable evaluation of soil fertility can provide a reference for land-use planning and fertilizer prescriptions, guiding agricultural production [3].…”

Section: Introductionmentioning

confidence: 99%

A New Method for Estimating Soil Fertility Using Extreme Gradient Boosting and a Backpropagation Neural Network

et al. 2022

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Soil fertility affects crop yield and quality. A quick, accurate evaluation of soil fertility is crucial for agricultural production. Few satellite image-based evaluation studies have quantified soil fertility during the crop growth period. Therefore, this study proposes a new approach to the quantitative evaluation of soil fertility. Firstly, the optimal crop spectral variables were selected using the integration of an extreme gradient boosting (XGBoost) algorithm with variance inflation factor (VIF). Then, based on the optimal crop spectral variables where the red-edge indices were introduced for the first time, the estimation models were developed using the backpropagation neural network (BPNN) algorithm to assess soil fertility. The model was finally adopted to map the soil fertility using Sentinel-2 imagery. This study was performed in the Conghua District of Guangzhou, Guangdong Province, China. The results of our research are as follows: (1) five crop spectral variables (inverted red-edge chlorophyll index (IRECI), chlorophyll vegetation index (CVI), normalized green-red difference index (NGRDI), red-edge position (REP), and triangular greenness index (TGI)) were the optimal variables. (2) The BPNN model established with optimal variables provided reliable estimates of soil fertility, with the determination coefficient (R2) of 0.66 and a root mean square error (RMSE) of 0.17. A nonlinear relation was found between soil fertility and the optimal crop spectral variables. (3) The BPNN model provides the potential for soil fertility mapping using Sentinel-2 images, with an R2 of 0.62 and an RMSE of 0.09 for the measured and estimated results. This study suggests that the proposed method is suitable for the estimation of soil fertility in paddy fields.

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Long‐term fertilization effects on crop yield and desalinized soil properties

Cited by 8 publications

References 47 publications

Responses of Soil Carbon Pools and Carbon Management Index to Nitrogen Substitution Treatments in a Sweet Maize Farmland in South China

Responses of Soil Carbon Pools and Carbon Management Index to Nitrogen Substitution Treatments in a Sweet Maize Farmland in South China

Effects of organic fertilizer incorporation practices on crops yield, soil quality, and soil fauna feeding activity in the wheat-maize rotation system

A New Method for Estimating Soil Fertility Using Extreme Gradient Boosting and a Backpropagation Neural Network

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