Abstract
The inoculation of soil with a bio-fertilizer (BF), with arbuscular mycorrhiza fungi, characterizes a Symbiotic (S) agriculture mode, aimed at promoting the yield and health of crops through modifications in the rhizosphere as well as in the plant phenotype. The main objective of this study was to reduce the incidence of Olive Quick Decline Syndrome (OQDS, involving
All the rapid measurements became essentials in a holistic model which was able to explain over 95% of the average mitigation / null / aggravation response to BF inoculation. The holistic model gathers differential and compositional analyses of the leaf (pH, crude protein, water) and of the soil (respiration), but depends mainly on the fingerprinting of the C and S leaves and litter-bags. Two keys were identified for a successful inoculation: a high degree of variability of the soil conditions permitting hospitality for the BF with enhancement of the microbial activity in the S soil (lowering the fingerprint of the control litter-bags) and homogeneity of the leaves (with increases in the fingerprint of the S leaves treated with BF). In short, the inoculation of diseased plants with one BF consortium is far from being the ultimate remedy to mitigate OQDS in all situations. Further studies are needed, at a field level, to clarify the soil hosting capacity and to define the mycorrhizal and / or endophytic * plant * pathogen interactions, even using rapid methods.
Author Contributions
Copyright© 2019
Giovannetti Giusto, et al.
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Competing interests The authors have declared that no competing interests exist.
Funding Interests:
Citation:
Materials And Methods
Seven farms, located near Ugento (LE, Italy), provided access to their olive trees, which age ranged from fifteen to centenary, and were mainly from A commercial symbiotic BF consortium (Micosat F ®, CCS-Aosta,
#
Farm
Surfaces, ha
C-Control
S-Symbiotic
Treatment date
Monitoring days after inoculation
1
A
3.00
3.00
06-02-18
85
2
B
2.75
2.50
14-03-18
89
3
C
5.70
2.00
07-02-18
84
4
D
1.00
1.00
09-02-18
101
5
E
0.55
0.55
18-02-18
83
6
F
1.23
1.23
05-03-18
85
7
G
1.90
1.40
04-03-18
73
1 - 7
A-G
16.13
11.68
21-02-18
86
Results
On the basis of the elaboration of the codes carried out on each farm, by means of the unpaired Friedman’s tests reported in Farm F was excluded from the final holistic model. Overall ( A greater reflectance was observed for the leaves of the Symbiotic olive trees ( In addition to a physical difference, a chemical variation also appeared in the leaves three months after the treatment. Their chemical composition resulted differentiated for all of the seventeen considered traits ( r(DSD) is the Pearson correlations of the means of six farms (excluding farm F) with the degree of severity disease variation (Y= d_S/C = Ln(S/C) presented in Table 4 for each constituent (X). The pH was only significantly modified by the BF treatment on farm A, where it increased by 1.2%. In two other cases, it increased by 0.6 - 0.7%, while it was on average acidified by 0.8% ( R = Soil respiration (mg Cmic g-1) The a priori percentage threshold was 50% for CC and for SS. It is shown, in However, higher-levels appeared on individual farms , with an average fingerprint of 80% for SS and of 73% for CC. The average spectra of the two BF types are displayed in The respiration capacity of the soil, as estimated by means of the NIRS of the litter-bags, increased significantly after the symbiotic treatment at the roots and in the soil on farm E (+ 38%), while it appeared somewhat decreased on G (-17%) and B (- 11%) ( A descending parabolic curve ( Therefore, the symbiotic treatment increased the homogeneity of the leaf. The litter-bag fingerprint appeared very different from the foliar NIRS fingerprint. In fact, an ascending parabolic trend is shown in All the variables provided in the study are summarized in The mitigation effect on the disease appeared to be highly determined (R2 =0.96), and the model passed the cross-validation process, obtaining an R2 =0.87. There were six characteristic factors: 1) the acidity differential, with standardized factor d_H = -0.155, had a negative sign as the factors were opposite: symbiotic BF lowered the pH, raised the H+ and therefore reduced the disease; 2) the fingerprint of the CC litter-bags (L_CC = +0.281) had a positive sign: when the value was reduced, the pathological degree diminished, a sign that the BF had produced some effects; 3) the fingerprint of the SS leaves (F_SS= -0.301) had a high value and a negative sign: when the value was increased, the disease was reduced; 4) the soil respiration had a favorable negative sign (-0.209): when the respiration increased, the incidence of the disease decreased; 5) the water content of the leaves accounted for -0.133 units, which means that a greater quantity of water flowed and remained in the olive leaves during mitigation and recovery; 6) the crude protein accounted for +0.350 units, the highest contribution to the fitting. The other dependent variables of the visual appraisal were less predictable. The standardized coefficients in The attempt to obtain a direct calibration of the average NIR spectra of the Control litter-bags from six farms was successful (
Groves
DSD-Disease Severity Degree
QBS-Quantity of the Basal Suckers
RMBRegrowth of the Main Branches
RSBRegrowth of the Secondary Branches
C,S
d_S/C%
C,S
d_S/C%
C,S
d_S/C%
C,S
d_S/C%
A
C
1.85
0.95
0.73
0.95
S
1.79
-3%
0.93
-2%
0.95
30%
1.03
8%
B
C
1.10
1.18
0.79
0.03
S
1.10
0.0%
1.00
-15%
0.64
-19%
0.10
233%
C
C
3.00
4.42
3.16
3.24
S
1.79
-40%
2.50
- 43%
1.79
-43%
1.18
-64%
D
C
3.38
1.46
0.62
0.77
S
3.00
-11%
1.23
-16%
1.62
161%
0.85
10%
E
C
1.86
1.00
0.62
1.00
S
1.93
4%
0.79
-21%
1.08
74%
1.07
7%
F
C
1.30
3.22
1.22
0.91
S
3.43
164%
1.22
-62%
0.65
-47%
0.91
0%
G
C
2.78
0.09
1.66
0.81
S
3.00
8%
0.34
278%
1.72
4%
0.16
-80%
Means
C
2.18
1.76
1.26
1.10
S
2.29
5.0%
1.14
-35.0%
1.21
-4.0%
0.76
-31%
S
46%
66%
C
54%
34%
Total
C
S
Farms
CC
SS
A
72%
79%
B
67%
68%
C
67%
93%
D
72%
72%
E
65%
73%
F
65%
70%
G
57%
61%
Means
66%
74%
Constituents (X)
Overall Mean
R2
CV%
Prob. of factors and interaction
Within-farm Contrasts (Y)
Farms
BF
Int.
#S+
#=
#S-
r(X,DSD)
Water
%
70.38
0.08
3.8
<.0001
<.0001
<.0001
4
2
1
-0.33
ADF
%
46.48
0.07
2.2
0.0007
<.0001
<.0001
4
3
0
-0.53
Non-digestible NDF
%
28.53
0.47
2.5
<.0001
<.0001
<.0001
3
4
0
-0.63
ADL
%
8.96
0.19
7.0
<.0001
0.0012
<.0001
3
2
2
0.59
Ether extract
%
1.38
0.13
3.6
<.0001
0.0462
<.0001
3
3
1
0.64
Gross Energy
MJ/kg
17.47
0.06
0.3
<.0001
0.0788
<.0001
2
4
1
0.70
NDF
%
47.76
0.35
2.5
<.0001
0.099
0.0002
2
4
1
-0.43
Ash
%
5.76
0.18
18.1
<.0001
0.9723
0.0083
2
5
0
-0.40
NDF digestibility
%
41.49
0.39
5.4
<.0001
0.4967
<.0001
2
3
2
-0.69
Crude fiber
%
27.17
0.05
3.0
<.0001
0.5533
0.0031
1
5
1
0.62
Digestible NDF
%
26.52
0.20
3.2
<.0001
0.0979
0.0767
0
6
1
-0.41
Crop Maturity Index
N
2.53
0.15
5.3
<.0001
0.2893
<.0001
0
6
1
0.52
Crude Protein
%
9.32
0.20
6.2
<.0001
0.0166
<.0001
0
6
1
0.90
Total Digestibility
%
71.43
0.37
0.7
<.0001
<.0001
0.0002
0
5
2
0.36
Hemicellulose
%
6.41
0.22
17.0
<.0001
<.0001
0.0002
0
4
3
-0.39
Free sugars
%
44.54
0.09
3.2
<.0001
<.0001
<.0001
0
4
3
0.25
Cellulose
%
24.19
0.14
5.3
<.0001
<.0001
<.0001
2
1
4
-0.61
Farms
BF
pH
Prob
H+
Prob
Water%
Prob
Crude Protein%
Prob
Soil Respiration
Prob
LnS/C%
LnS/C%
LnS/C%
LnS/C%
LnS/C%
A
C
5.29
0.02
5.1
0.02
70.3
0.1553
9.53
0.5159
196
0.88
S
5.35
1.2%
4.4
-14.0%
70.2
-0.1%
9.55
0.3%
194
-1.0%
B
C
5.17
0.44
6.8
0.44
69.8
<.0001
9.42
0.1848
157
0.06
S
5.2
0.6%
6.4
-7.0%
70.4
0.8%
9.49
0.7%
139
-11.3%
C
C
5.56
0.47
2.8
0.47
70.0
<.0001
8.98
<.0001
176
0.74
S
5.49
-1.2%
3.2
17.0%
70.7
0.9%
8.67
-3.4%
181
3.0%
D
C
5.3
0.78
5
0.78
70.8
0.9081
9.38
0.5108
184
0.48
S
5.28
-0.4%
5.2
5.0%
70.8
0.0%
9.32
-0.7%
172
-6.4%
E
C
5.66
0.3
2.2
0.3
69.9
0.0393
9.45
0.6595
114
0.01
S
5.59
-1.3%
2.6
18.0%
70.3
0.5%
9.41
-0.4%
158
37.9%
F
C
5.4
0.5
4
0.5
70.8
0.0028
9.52
0.1074
183
0.66
S
5.43
0.7%
3.7
-8.0%
70.4
-0.6%
9.40
-1.2%
178
-2.8%
G
C
5.69
0.78
2.1
0.78
70.6
0.0012
9.30
0.9169
160
0.02
S
5.67
-0.3%
2.1
4.0%
71.0
0.5%
9.29
-0.1%
133
-17.3%
Means
C
5.44
3.7
70.3
9.37
167.2
S
5.43
-0.1%
3.7
1.0%
70.5
0.3%
9.31
-0.7%
164.9
-1.3%
S
43%
70%
C
57%
30%
Total
C
S
Farms
CC
SS
A
65%
87%
B
63%
70%
C
61%
85%
D
73%
70%
E
100%
100%
F
74%
74%
G
75%
77%
Mean
73%
80%
BF
No.
Reflectance
Standard dev.
C
185
0.277
0.087
S
195
0.298
0.074
S / C %
+ 8%
-16%
Prob.
0.0001
Dependent Variablesobserved in the plants
Independent variables from the analyses X =d_S/C = LN(S/C)
Foliar NIRS fingerprint
LeafH+
Soil Respiration (R)
Water
LeafProtein
d_DSD
d_QBS
d_RMB
d_RSB
F_CC
F_SS
d_S/C
L_CC
L_SS
d_S/C
d_S/C
d_S/C
A
-3.4
-2.6
31.0
7.9
72.0
79.0
-14
65.0
87.0
-1.0
-0.1
0.3
B
0.0
-15.2
-19.4
300.0
67.0
68.0
-7
63.0
70.0
-11.3
0.8
0.7
C
-40.4
-43.5
-43.3
-63.4
67.0
93.0
16
61.0
85.0
3.0
0.9
-3.4
D
-11.4
-15.8
162.5
10.0
72.0
72.0
5
73.0
70.0
-6.4
0.0
-0.7
E
3.8
-21.4
75.0
7.1
65.0
73.0
16
100.0
100.0
37.9
0.5
-0.4
G
7.9
266.7
3.8
-80.8
57.0
61.0
5
75.0
77.0
-17.3
0.5
-0.1
Ln(S/C)
DSD-Disease SeverityDegree
QBS-Quantity of theBasalSuckers
RMB-Regrowth of theMainBranches
RSB-Regrowth of theSecondaryBranches
d_H
-0.155
0.131
0.215
-0.378
d_R
-0.209
-0.196
0.100
-0.230
F_SS
-0.301
-0.720
-0.087
0.030
L_CC
0.281
-0.318
0.400
-0.306
Leaf water
-0.133
0.130
-0.699
0.400
Leaf crude protein
0.350
-0.184
0.010
0.346
R2
0.96
0.48
0.72
0.59
R2 cross-validated
0.87
0
0
0
Discussion
Overall, the soil biota played a key role by provide information and improved insights in this work. There are two environments in nature in which the highest known microbial densities are reached, that is, the human intestine The response to symbiotic inoculation was first evaluated indirectly, considering the respiratory capacity of the soil in the control and in the inoculated modes; the results of the pairwise comparisons resulted in a negative sign (-0.209), in agreement with a favorable descent of the disease in the holistic model. Among the agronomic measures of coexistence with The symbiotic treatment increased the homogeneity of the composition of the S litter-bags, as revealed by the higher fingerprint of the S type which were more prominent than the C types (70% The close relationships among the average NIR spectra of the litter-bags obtained without BF and the future results expected from a BF inoculation represents a possible extension for this quick method for a rapid soil fertility evaluation: a kind of In the holistic model, the fingerprints of the Symbiotic leaves revealed a -0.301 value Previous research Accurate disease detection In the present work, we showed that several spectral plant-trait alterations in the foliar part of the plant (not the canopy) are linked to - or independent of - the mitigation or recruitment of the symptoms. The key mechanisms shown in the present work were reductions in leaf protein, cellulose and hemicellulose, which were balanced by an increase in ADF and lignin, together with an enhanced water content. Although the latter finding may be accounted for by considering a greater fluidity in the xylem vessels and / or increased osmotic pressure in the phloem, which may be attributable to pathogen inactivation, the other variations remain open questions. In the case of grapevines with Pierce s diseases, symptomatic leaves developed lower water potentials than healthy plants around noon each day, which was related to a reduction in the osmotic potential of the leaf. The discovery that water stress was associated with In this regard, a recent work The reinforcement of cell wall parts during the mitigation processes can help protect the leaf from water exchanges. Moreover, along with the progression of disease severity The protein reduction was in contrast with the expected effects of AM, as observed in a previous study with According to Lavee and Avidan An increased concentration of expansins was observed in the vessels of the diseased plants Contrary to the general expectations about a pH decrease after BF inoculation, and reinforced by our early published result The rapid methods applied in this experiment do not make it possible to define whether the good results are due to an effective mycorrhization of the roots or to some positive microbial interaction in the rhizosphere with endophytic MOs, whose presence had been verified in the highly complex
Conclusion
Since Moreover, we have described and tested a set of rapid analyses to monitor the evolution of the disease, not by means of remote sensing, but through friendly contact with the plant and its soil environment. We are conscious that a model with six variables and only six pairwise issued from twelve data-sets cannot be anyway predictive. Thus the original methodological side of this research seems to be that of "learning \ teaching" on simple systems for monitoring the effectiveness of BF: we can anticipate that ongoing researches on various species (maize, tomato, potato) with the same model, are confirming these results in sign and amplitude of the vegetative response, that continues beyond the fruitfulness. In substance, the inoculation of BF consortia is far from being a definitive remedy for OQDS, and it needs further investigations about the hosting capacity of the soil and concerning mycorrhizal and / or endophytic * plant * pathogen interactions, even using rapid methods (litter-bags, foliar pH, NIR tomoscopy) in field studies. However, some indications now exist on how to fight the disease with weapons that are to some extent more environment friendly and sustainable.