Brachiaria reduces nitrification rate through inhibition of Ammonia-oxidizing archaea in inter-plant soil

Description

Modern agriculture requires large amounts of nitrogen (N) to maintain crop yield, but its utilization efficiency is not high. Chemical nitrification inhibitors are used to improve N utilization efficiency, but they are expensive and need to be applied continuously. Biological nitrification inhibition (BNI), a phenomenon in which the plant itself secretes a nitrification inhibitor and exerts its effect, is expected to improve N utilization efficiency in agricultural ecosystems and reduce environmental loads. Many studies have been conducted on BNI plants, especially the tropical pasture grass “Brachiaria,” including the identification of brachialactone as a nitrification inhibitor. However, these studies have targeted rhizosphere soils that directly evaluate the effects of plant root secretions, and although there are many studies, there are very few reports on BNI effect in field experiments. Regarding the expression of BNI, it has been shown that sorghum is related to the suppression of ammonia-oxidizing archaea (AOA) (JIRCAS Research Highlights 2019, A05) but not fully elucidated in Brachiaria. On the other hand, at field scale, it is necessary to evaluate the entire field including not only the rhizosphere soil but also the inter-plant soil. This experiment clarifies the change in the nitrification rate of the bulk soil and its mechanism in the cultivation of tropical grass Brachiaria.
Seven varieties of Brachiaria grasses (with different BNI potentials in root exudates) and a bare plot were set as the control plot, and a field cultivation trial was conducted for 18 months at the Tropical Agriculture Research Front (TARF) of JIRCAS (Fig. 1). Among the seven varieties investigated, Tupy has the highest BNI activity in root exudate and Marandu has the lowest (Table 1). The potential nitrification rate in the inter-plant soil (center at 90 cm between stocks, depth 0 to 30 cm) after 18 months of Brachiaria cultivation differs depending on the variety, and among the 7 varieties investigated, 3 varieties (Marandu, Mulato, and Tupy) have particularly inhibited nitrification rates (Fig. 2), and the degree of decrease in the nitrification rate of each variety did not necessarily match the BNI activity of root exudates of each variety (Table 1). Since multiple regression analysis including BNI activity in root tissue enables significant regression, the effect of BNI activity in root tissue reflecting root turnover can be considered. The nitrification rates after 18 months of cultivation were positively correlated with the abundance of AOA in the soil but not with that of ammonia-oxidizing bacteria (AOB) (Fig. 3). The decrease in the number of AOA is the cause of the decrease in the nitrification rate. The study targeted soils collected between Brachiaria plants, so there is a possibility that stronger nitrification suppression occurs in the rhizosphere soil and in the vicinity of the plants.
From these results, the establishment of a crop rotation system utilizing Brachiaria can be expected because previous studies have reported an increase in subsequent crop yields after Brachiaria cultivation.

Figure, table

  1. Fig. 1. Picture of field experiment

    Fig. 1. Picture of field experiment 

     

  2. Table 1. Root amount and BNI activities in root exudates and root tissues of seven Brachiaria cultivars

    Cultivar Root amount   BNI activity 
      in root exudate  in root tissue
    kg DM ha-1   ATU g-1 DM day-1 ATU g-1 DM
    Marandu 849   2.0 174.9
    Basilisk 1,147   18.3 174.5
    Kennedy 488   24.4 207.0
    Mulato 648   7.0 200.5
    Mulato II 855   7.0 202.8
    Tupy 699   46.3 208.6
    Tully 1,109   17.5 183.2

    ATU (allylthiourea unit): The inhibitory effect from 0.22 μM AT in an assay containing 18.9 mM of NH4+

     

  3. Fig. 2. Cumulative nitrification rate in each treatment

    Fig. 2. Cumulative nitrification rate in each treatment

    Error bar indicates standard error (n=3), different letters indicate significant differences by Tukey’s HSD method.

     

  4. Fig. 3. Relationships between potential nitrification rates and changes in AOB and AOA against Control

    Fig. 3. Relationships between potential nitrification rates and changes in AOB and AOA against Control 

     

Affiliation

Japan International Research Center for Agricultural Sciences Crop, Livestock and Environment Division

Classification

Research

Research project
Program name

Environment and Natural Resource Management

Term of research

FY2020(FY2016~FY2020)

Responsible researcher

Nakamura Satoshi ( Crop, Livestock and Environment Division )

KAKEN Researcher No.: 00749921

Sarr Papa Saliou ( Crop, Livestock and Environment Division )

Ando Yasuo ( Crop, Livestock and Environment Division )

KAKEN Researcher No.: 80353548

Subbarao Guntur Venkata ( Crop, Livestock and Environment Division )

KAKEN Researcher No.: 00442723

ほか
Publication, etc.

Nakamura S et al. (2020) Agronomy, 10:1003
https://doi.org/10.3390/agronomy10071003

Japanese PDF

2020_A09_A4_ja.pdf613.33 KB

2020_A09_A3_ja.pdf612.57 KB

English PDF

2020_A09_A4_en.pdf567.44 KB

2020_A09_A3_en.pdf566.88 KB

Poster PDF

2020_A09_poster.pdf404.9 KB

* Affiliation at the time of implementation of the study.

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