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Feeding the Good Bacteria Cut Pepper Root Rot to 6%

Se-Chul Chun, Konkuk University, Department of Molecular Biotechnology, College of Life and Environmental Sciences (professor; plant pathologist) · South Korea

A Konkuk plant pathologist, new to natural farming, reviews biological control of soil-borne disease and shows his own work: bacteria coated on rice seed against seedling rot, and bacteria against Phytophthora root rot of pepper, both working better when given a sugar the bacteria can use and the pathogen cannot. He then gives first, unreplicated microbe counts from the Paju natural farming soils and from each IMO step: counts fell about tenfold from IMO1 to IMO4 and the fungi shifted from Aspergillus to Rhizopus. He draws no conclusion about natural farming yet.

What they found

The question

How do beneficial microbes control soil-borne plant disease, and what microbes are in natural farming soil and in IMO?

How they tested it

Two parts. (1) His earlier biocontrol work, dates and sites mostly not stated: rice seed (water-seeded) inoculated with a Pythium seedling pathogen and coated with antagonistic bacterial strains (D-series, e.g. D324), with and without 8% carbon sources in a talc-based seed coating; a field emergence test; pepper inoculated with Phytophthora capsici and treated with antagonistic bacterium KJIR5 plus 2% carbon sources; root colonization of rice by GFP-tagged Bacillus subtilis CB-R05 in hydroponic culture. Seedling and disease tables give means ± SEM; the rice strain table cites Dunnett's test at P=0.05. (2) New in 2016: plate counts (CFU per gram) of bacteria and fungi in Paju test-farm soils (natural farming, conventional, organic and a control soil, from the peanut trial) and in IMO1–IMO4 made by his lab (IMO1 from forest compost on cooked rice; IMO2 IMO1 + sugar; IMO3 IMO2 + rice bran; IMO4 IMO3 + soil 1:1). IMO1 was kept about two weeks in a refrigerator before the next step. Replication, sampling dates and statistics for the counts: not stated.

What was compared
  • Rice: bacterial seed treatment — Nine antagonistic bacterial strains (D324, D316, D311, D315, D305, D302, D320, D309, D318) on rice seed sown with the Pythium pathogen; compared with pathogen alone and with no pathogen.
  • Rice: bacteria plus carbon source — Talc + seed base, with or without D324, plus 8% alanine, galactose, sorbitol, mannitol, glucose or proline; pathogen (Pythium) added.
  • Pepper: KJIR5 plus carbon source — Phytophthora capsici alone, plus bacterium KJIR5, or KJIR5 with 2% arabinose, glucose, maltose or melezitose; non-inoculated control.
  • Soil counts — Bacteria and fungi in natural farming, conventional, organic and control soils from the Paju farm.
  • IMO counts — Bacteria and fungi in IMO1, IMO2, IMO3 and IMO4.
Results
  1. Pepper root rot: 81% with the pathogen alone, 22% with bacterium KJIR5, 6% with KJIR5 plus arabinose

    Disease incidence (%) ± SEM. KJIR5 + glucose also 6%, + maltose 13%, + melezitose 22%; non-inoculated 0%. A carbon-use chart shows KJIR5 using arabinose well and P. capsici using it poorly.

    ▶ 13:38 Said and shown on the slides

  2. Rice seedling emergence rose from 63% (pathogen, no bacteria) to 80% with strain D324

    Non-inoculated seed 92%. Seven of nine strains (74–80%) differed significantly from no bacteria (Dunnett, P=0.05); D309 and D318 (69%) did not.

    ▶ 11:00 From the slides

  3. D324 plus a carbon source the fungus cannot use lifted emergence from 36% to 69–74%

    Seed coating with Pythium: base alone 36%, base + D324 44%, D324 + 8% alanine 74%, + galactose 73%, + sorbitol 69%, + mannitol 68%; non-inoculated seed 68%. D324 + glucose (57%) or proline (55%), which the fungus uses well, did less.

    ▶ 12:19 Said and shown on the slides

  4. In the field, sorbitol 8% + D324 gave the most emerged seedlings

    Bar chart, values read approximately from a skewed photo: sorbitol + D324 about 460, galactose or mannitol + D324 and base + D324 about 410–425, base about 345, the fungicide Ridomil about 270, untreated seed about 250. Units not stated.

    ▶ 12:37 From the slides

  5. GFP-tagged Bacillus subtilis CB-R05 colonized rice roots within 24 hours

    Microscope images show the green-tagged bacteria inside the roots; he says they persisted with little loss. A slide notes images at 30 days after transplanting in hydroponic culture.

    ▶ 14:18 Said and shown on the slides

  6. First soil test: the control soil had the most microbes; natural farming soil had fewer

    CFU ×10^5 per g soil, bacteria/fungi: control soil 66.9/10.0, natural 6.3/5.3, conventional 9.1/not detected, organic 14.9/not detected. He says his students' and Professor Kim's students' replicates gave different results.

    ▶ 17:43 Said and shown on the slides

  7. Second soil test, fungi only: natural farming soil 18, organic 13, control 11, conventional 7 (×10^2 CFU/g)

    He says the differences may not be statistically significant.

    ▶ 18:59 Said and shown on the slides

  8. Microbe counts fell about tenfold from IMO1 to IMO4

    CFU ×10^7, bacteria/fungi: IMO1 151/56.5, IMO2 74/34.5, IMO3 98.5/9.62, IMO4 11.4/4.62. He links the IMO4 drop to mixing IMO3 1:1 with soil.

    ▶ 19:59 Said and shown on the slides

  9. The fungi shifted from Aspergillus in IMO1 to Rhizopus in IMO4

    Summary slide: from more sporulating fungi (Aspergillus) to more runner-hyphae fungi (Rhizopus). Species identification of the bacteria not yet done.

    ▶ 21:45 Said and shown on the slides

Hold it loosely
  • The natural farming part is preliminary and his own words are 'I cannot make conclusion yet'. Soil counts come from two runs that did not agree; no replication or statistics were shown for them.
  • Plate counts measure only microbes that grow on lab media, and say nothing of which ones or what they do.
  • The control soil in the first test is not described; its high counts are unexplained.
  • The IMO was not made in the field way: IMO1 sat about two weeks in a refrigerator before IMO2, and the counts are from one batch.
  • The rice and pepper biocontrol work is separate research with lab bacterial strains, not natural farming solutions; sites, years and plot sizes are mostly not stated. The pepper field photo is credited to another researcher ('Adapted (K.D. Kim's)').
  • Field emergence values are read approximately from a skewed photo of a bar chart; units not given.
  • Glucose, which the pepper pathogen uses well, gave the same 6% disease as arabinose, so the 'feed the bacteria, not the pathogen' explanation does not fit every result.
For your farm
  • Soils can become disease-suppressive: in the US Northwest, take-all of wheat faded after years of continuous wheat because of Pseudomonas bacteria in the soil.
  • Beneficial bacteria protected rice seedlings and pepper roots better when they were given a food they use and the pathogen does not.
  • In his test, microbe numbers dropped at each IMO step while the kinds of fungi changed; more microbes is not the measure of a good IMO, and he is still studying what the change means.
  • IMO comes from the local forest and costs nothing; commercial biocontrol products cost money.

Next to Master Cho's teaching

  • Agrees

    Disease as a broken microbial balance Cho: disease is not one bacterium's wrongdoing but a deteriorated relationship between crops and microorganisms, and IMO restores the balance. Chun's disease-suppressive soils and antagonist bacteria describe the same idea in plant pathology terms.

    Cho, Janong Natural Farming (2003), p. 159

  • Agrees

    Local forest microbes instead of bought ones Cho collects IMO from local leaf mold and warns that purchased microbes cost farmers money. Chun closes on the same contrast: IMO comes from natural forest compost, commercial biocontrol agents cost money.

    Cho, IMO and Vital Power of Crops and Livestock, p. 21

  • Goes further

    Counts drop at IMO4 Cho makes IMO4 by mixing IMO3 with the field's own soil so the microbes 'assimilate' with the soil's native ones, not to raise numbers. Chun's tenfold drop at IMO4 is the first count we have of that step; what it means for assimilation is untested.

    2018/Cho - advanced hawaii/cho advanced 2018 2-3 @ 1:00:58 (translated)

  • Unclear

    Which fungi are in IMO1 Cho's IMO1 is leaf mold with white hyphae. Chun found Aspergillus dominant in his IMO1 and more Rhizopus by IMO4; Cho does not name species, and Chun's IMO1 was refrigerated before use.

    05-enzymes-and-microorganisms — Leaf mold from the forest

“I do not know natural farming very well, but I start to learn natural farming.”

▶ 0:08

“But natural farming thing is your own natural, and it comes from natural forest compost. So that maybe makes difference.”

▶ 24:25

In this talk

  1. 0:00A plant pathologist new to natural farming
  2. 1:38How biological control began
  3. 3:54Kinds of biocontrol agents
  4. 7:21How biocontrol works
  5. 8:06Free microbes from Korean extension centers
  6. 9:34Rice seedling disease in water-seeded rice
  7. 11:00Carbon sources that feed the bacteria
  8. 12:44Phytophthora root rot of pepper
  9. 14:07Tracking bacteria in rice roots
  10. 15:38Microbes in natural farming soil
  11. 19:33Microbe counts from IMO1 to IMO4
  12. 20:56Which fungi: Aspergillus to Rhizopus
  13. 23:24Trichoderma, and IMO versus compost

Transcript

Transcribed and checked by hand against the recording. Click any time to play from there.