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Leveraging legumes to combat poverty, hunger, malnutrition and environmental degradation
PRODUCT LINE 4: High nitrogen fixing chickpea, common bean, faba bean and soybean
By Team PL 4
Date: 5th Oct 2016http://grainlegumes.cgiar.org
Review Meeting Grain Legumes Phase 1 & Extension Phase
Background Issues and R4D Challenges Rhizobial inoculants available in market are poor quality. Inoculants: No contaminants, rhizobia population (8x109
g) and longer shelf life. Regain confidence on the farmers: On-farm demos. Identify highly nodulating & N2 fixing rhizobia. Variability in particular crop for nodulation. SNF potential limited by abiotic stresses including low P. Standardize mass-multiplication & carrier that suits
rhizobia. Rhizobia as PGP: for P solubilization, Fe mobilization,
phyto-hormone production and biocontrol etc.
5th October 2016
Objectives (2012-16)Goal: Germplasm with high SNF potential and rhizobia,
under stress conditions identified, demonstrated on-farm and made available to the stakeholders.
Outcomes: Breeders access sources of SNF with multiple desirable
traits. Cultivars with enhanced SNF capacity under stress
conditions available.Mass production technologies available to inoculum
producers. Rhizobium producers incorporate superior strains in
commercial products. Farmers have access to improved rhizobial strains.
5th October 2016
Success Stories
1. Variability in nodulation behaviour in particular crop
2. On-farm demonstration of potential of SNF in chickpea
3. Plant growth-promoting (PGP) rhizobia in chickpea
4. Influence of rhizobia, variety and P-fertilizer on grain
yield in soybean and climbing beans
5. Quantification of SNF by 15N natural abundance
method
5th October 2016
1. Variability for nodulation in particular crop (s)
5th October 2016
Induction of EMS Mutations in 1237 M3 lines derived from Ghab 5
Identification SNP of M3 lines which carrying nodulation induced hyper-nodulation mutant. Two SNP were identified in
two bulks (confirmation in progress)
Response to Nitrogen Fixing Bacteria in Chickpea
Super nodulation line
IGgenotype
Terbolrainfa
llTerbol
irrigatedKafardanrainfall
Kafardanirrigated
114795 0.051 0.165 0.520 0.95170270 0.027 0.064 0.641 0.58570278 0.022 0.140 0.361 0.50570293 0.071 0.065 0.333 0.32870764 0.039 0.384 0.315 0.494Average 0.022 0.060 0.270 0.300
114795
115380115390117696
117697
117698117699117700117703117708
117714117718117728125018
125021125028128430
128434
128465128506131983 131985
132032
134532
134564
6035
6041
60506057
6058
61096111
6113
6446
646869605 69620702467024870249
7025270253
70255
7026270265
70269
70270
70272
70273
7027570277
70278
70280
7028570286
7029070291
7029370294
70297
70299
70304
70305
7030870309
70311
7031270313 70316
70328703307033270334
70335
70336
7033870340
7034270345
70346 70347703487034970350
703517035270355
7035770359
70361
703637036970370
70371
7037470375
70377
7037970381
7038370384
703887038970390
703937039470398
7039970401
704027040870409
704107041370416
704197042170427
7042870429
70430
70432
7043470556
7075570760707617076270763
70764
70766 70767
70768 70770
70772707737077470775
707767077770778
7077970780 70781
70782
7078370784707857078770788
7078970822
71832
7336973381
73382
73386 7338873390
7339474021
74929
74940
7497974994
74995
75029
75360
75406
77147717
77227758
8256
8447
891489859088
92399244
9413
94259430
9431
9433
94349435
9436943794389439 9440
9441
9442
9584 9586
9627
96299630
Genesis090
pbapistol
0
0.5
1
1.5
2
2.5
-0.1 0.4 0.9 1.4
Based on the average in each location, among 201 genotypes tested in two irrigation managements & 2 locations, 5 genotypes were superior in nodulation.
Dry weight(g) – Drought stress
Dry
wei
ght(g
) -irr
igat
ed
Screening for BNF in chickpea under diverse conditions
Influence of pink-pigmented facultative methylotrophic bacteria PPFMs and Rhizobium inoculation on BNF in Faba bean
DW_Nod DW_Plant N% N_ContentDW_Plant 0.42*** -N% 0.49*** 0.20* -N_Content 0.60*** 0.75*** 0.79*** -Nod_plant 0.99*** 0.42*** 0.47*** 0.59***
• Genotype “45/018F87307/06A“ and “Sakha 1” showed the best plant N contents (mg)/plant comparing to other genotypes.
Nitrogen fixation in faba bean
• Resource poor farmers cultivate pulses on soils of low fertility status.
• P-fertilizer use efficiency is low due to high P-fixing capacity of soils.
• High genotypic dependent variations in SNF and P use efficiency• P-deficiency not only reduce SNF contribution but also results in
decline in grain yield and its quality
Assessment of symbiotic nitrogen fixing potential and ‘P’ use efficiency in chickpea
in-vivo Experiment in-situ ExperimentMesorhizobium ciceri (IC-76) under sterile conditions Locations: ICRISAT & IIPRDesign: Completely Randomized Design (CRD)Sampling points:
Vegetative stage (45 DAS)
Assessment of inherent nodulation potential of chickpeaaccessions under field conditions
Locations: IARI & IIPRDesign: Augmented DesignSampling points: Vegetative stage (45 DAS), Flowering stage (75 DAS), Harvest stage
Chickpea accessions used in this study: 211 mini-core lines, 68 land races, 10 wild accessions and 2 checks (BG-256 and RSG-888)Observations: Nodule No. /plant, Nodule dry weight/plant, biomass/plant , N & P uptake
Genotypic differences in nodulation in chickpea inoculated with M. ciceri under pot experiments
(Total No. of entries 274)
Nodulation variants of min-core lines found common at both IIPR and ICRISAT (In-vivo study )
Nodulation rating* Accession numbers
1 ICC-6294, ICC-90022 ICC-2065, ICC-9590, ICC-11764
3
ICC-2072, ICC-4363, ICC-6293, ICC-6537, ICC-9643, ICC-9712, ICC-12324, ICC-12492, ICC-13764, ICC-15248, ICC-15435, ICC-15612
4
ICC-2969, ICC-3325, ICC-4533, ICC-4639,ICC-5337, ICC-6279, ICC-6306, ICC-7272,ICC-10018, ICC-13719, ICC-15294
5 ICC-2580, ICC-2990, ICC-3421, RSG-888*Ratings used for IIPR: 0 = No nodule; 1= 0.1 to 6 nodules; 2 = 7 to 12 nodules; 3 = 13 to 18 nodules; 4 = 19 to 24 nodules; 5= >24 nodules; *Ratings used for ICRISAT: 0 = No nodule; 1 = 0.1 to 1 nodule; 2 = 1 to 2 nodules; 3 = 2 to 4 nodules; 4 = 4 to 6 nodules; 5 = >6 nodules
High biomass accumulating accessions
Low biomass accumulating accessions
Accessions Nodule dry weight
(mg/plant)
Shoot weight(mg/plant)
Accessions Nodule dry weight
(mg/plant)
Shoot weight
(mg/plant)
ICC15762 38.0 1240 ICC 2210 9.0 190ICC13357 16.5 1115 ICC 6571 7.5 190ICC12328 16.0 1085 IG6154 6.5 185ICC12947 12.5 1085 ICC2679 6.0 180ICC 9137 20.5 1080 ICC 1352 6.0 160ICC12028 23.5 1035 ICC 7184 7.5 155ICC13523 19.5 1035 ICC2737 2.0 150ICC16654 54.0 1025 ICC7052 5.5 145ICC11584 15.5 1010 ICC12654 5.0 125ICC3410 26.0 1005 ICC15610 17.0 70
Therefore, under P-limitation, chickpea acc. with better PAE will supporthigh SNF activity and N2 fixation.
Nodulation behavior of some of the selected genotypes at IIPR & ICRISAT
High variability due to location. Similar genotype and strain of M. ciceri but grown in two different soils.
Similar numbers despite the locationdifferences
0.0
5.0
10.0
15.0
20.0
25.0
30.0
T1 T2 T3 T4 T1 T2 T3 T4 T1 T2 T3 T4
JAKI 9218 Shubra JG 11
Nodule No/pl Nodule wt (mg/pl)
0
10
20
30
40
50
60
T1 T2 T3 T4 T1 T2 T3 T4 T1 T2 T3 T4
JAKI 9218 Shubra PUSA 372
Nodule No/pl
Nodule wt (mg/pl)IARI
T1 - Absolute control (No DAP, Inoculation) T2 - Control (100 % RDF) T3 - M Ciceri T4 - M ciceri + DAP
ICRISAT
Evaluation of inoculation effect and P fertilization on symbiotic potential of chickpea genotypes at 45 DAS under field conditions
Shubra higher nodulation under low P at ICRISAT and IIPR
0
200
400
600
800
1000
1200
1400
T1 T2 T3 T4 T1 T2 T3 T4 T1 T2 T3 T4
JAKI 9218 Shubra PUSA 372
Shoo
t wei
ght (
mg/
plan
t)
T1 - Absolute control (No DAP, Inoculation) T2 - Control (100 % RDF) T3 - M ciceri T4 - M ciceri + DAP
JAKI 9218 showed higher biomass under P deficient conditions at IARI and ICRISAT
0.00
0.50
1.00
1.50
2.00
2.50
3.00
3.50
T1 T2 T3 T4 T1 T2 T3 T4 T1 T2 T3 T4
JAKI 9218 Shubra JG 11
Shoo
t wei
ght (
g/pl
ant)
ICRISAT
IARI
Experiment 2: Evaluation of inoculation effect and P fertilization on symbiotic biomass accumulation of chickpea genotypes at 45 DAS under field conditions
2. i. Quality assessment & characterization
of inoculants
ii. On-farm demonstration of potential of SNF
5th October 2016
2.1. Quality assessment of rhizobialinoculants available in Indian market
28 rhizobial inoculants collected from market: Odisha, Chhattisgarh, Madhya Pradesh, Jharkhand and Andhra Pradesh During Sept-Oct. i.e. prior to chickpea sowing season. These inoculants were stored at room temperatures in
shops. “Lignite” was used as carrier materials (all samples). Samples checked for its pH, moisture %, rhizobial count,
contamination count and nodulation. These were compared with ICRISAT rhizobial inoculants
5th October 2016
pH of the rhizobial inoculants procured
*= 1 to 4 from Orissa, 5 to 11 from Chhattisgarh, 12 to 13 from Jharkhand, 14 to 26 from MP, 27 and 28 from Telengana. Sample numbers 29 and 30 are from ICRISAT.
Optimum pH: 7
Highly acidic (pH 2.1-5.8) : 13Alkaline (pH 8.2-9.4): 7
Only 8 were found fit for growing rhizobia.
Moisture content of rhizobial inoculants
5th October 2016
*= 1 to 4 from Orissa, 5 to 11 from Chhattisgarh, 12 to 13 from Jharkhand, 14 to 26 from MP, 27 and 28 from Telengana. Sample numbers 29 and 30 are from ICRISAT.
Optimum moisture% for growing rhizobia : 30%.
5 contained < 15% &6 hadcontained >40%.
Chickpea rhizobial inoculants quality assessment
Of the 28 samples, only
15 contained rhizobia-like colonies in the media
6 had contamination.
4 nodulated but had poor count
Rhizobial quality assessment
Conclusion• Quality of rhizobia available in market is very poor.• Need to identify the formulation that suits better for
rhizobia.• Demonstrate on-farm so that farmers will get
confidence on SNF.
Effect of rhizobia (IC 76) on yield traits: on-farm study
• Under on-farm condition, IC-76 not only significantly
enhanced grain and stover yields but also other yield traits
including seed number, seed weight and pod weight.
• It is concluded that rhizobia not only fix atmospheric N2 but
also promote plant growth and yield traits
Effect of IC-76 on PGP traits of chickpea at 35 DAS: on-farm study
IC-76 enhanced not only nodule number and weight
but also shoot weight
Formulation for rhizobia Selection of formulation is very crucial as it can
determine the success or failure SNF by rhizobia. A good carrier material : should be able to deliver the
right number of viable cells in good physiological conditions, easy to use and economically affordable by the farmers. Five carrier materials: Peat, Talc, Talc + Starch, Charcoal
and Charcoal + Sugarcane stalk powder. Longevity studies conducted with 2 chickpea rhizobia,
IC-76 and IC-59 for 10 months.
Viability and longevity of rhizobia on five different formulations
Colony Forming Unit (CFU/ml) of different carrier materials in months0 1st 8th 9th 10th
Peat 3.9x10⁹ 4.3x109 5.1x108 4.3x108 1.2x108
Talc 3.3x109 1.8x109 3.4x107 2.1x107 1.1x107
Talc+Starch 5.0x10⁹ 2.0x109 4.9x107 3.1x107 1.2x107
Charcoal 7.0x108 4.0x108 8.1x106 6.1x106 3.2x106
Charcoal+ Sugarcane stem powder 2.3x10⁹ 1.1x109 9.3x106 3.7x106 2.3x106
Of the five different formulations studied, viability and longevity were found more in peat (3.9 x 109 to 1.2 x 108)even after 10 months
On-farm demonstration of SNF
• On-farm demo (35 farmers) done at Mahbubnagar(Telangana), Raichur and Gulbarga (Karnataka), andLudhiana (Punjab)
• Rhizobia specific to chickpea, IC-76 (ICRISAT product)was evaluated.
• Chickpea varieties : JG 11, PBG 5
Demonstrations at farmers’ fields
Application of biofertilizer (cost @ US$ 1.5 ha-1) at farmer’s field improved
Yield by 1.9 to 7.7% in Punjab.
13-21 % in Telangana and Karnataka.
Promotion of biofertilizer technology required to ensure full benefits to resource poor farmers.
Plant growth-promoting (PGP) rhizobia
Plant growth-promoting (PGP) rhizobia
30
PGP bacteria are known to enhance plant growth when inoculated : soil or seeds. PGP bacteria affect plant growth through fixation of
atmospheric N2, solubilization of minerals, synthesis of enzymes & phyto-hormones and inhibition of pathogens. Rhizobia have also been looked for its PGP properties, as
rhizobia can provide additional plant and soil health benefits besides fixing nitrogen. Hence, while selecting a rhizobia one needs to consider its other PGP traits also. In the present study, IC-76 (rhizobia) was characterized
for its PGP traits on chickpea under field conditions.
Mechanism of PGP traits (IC-76) Indole acetic acid (IAA) production
Control Positive
IAA accelerates plant growthand development by improvingroot/shoot growth and seedlingvigor through its involvement incell division, differentiation andvascular bundle formation.
IAA production by IC-76 =327±7.3 µg mL-1
Mechanism of PGP traits (IC-76 ):Siderophore production
Siderophore production
Low molecular weightcompounds with high affinitytowards Fe3+, hence involvedin sequestering Fe3+ and thusmakes the iron available forplants.
Siderophore production byIC-76 = 44.7±0.2 Units
Mechanism of PGP traits: Cellulase production
Cellulase production
Cellulase degrades cellulose in the plantcell wall, thus destroying the adhesion ofthe pathogen to the root surface of theplant.
Cellulase production by IC-76 = 2(Cellulase production is estimatedthrough the halo zone around themicrobial colonies on a 0−3 rating scaleas follows: 0 = no change; 1 =positive; 2 =halo zone of 1−3 mm; 3 = halo zone of4−6 mm and 4 = halo zone of 7 mm andabove
Mechanism of PGP traits (IC-76 ):β-1,3-glucanase production
Control Positive
β-1,3-glucanase degradesthe 1,3-glucan layer ofmany pathogens thusinhibiting the pathogeninvasion.
β-1,3-glucanaseproduction by IC-76 =0.9±0.003 Units
Mechanism of PGP traits (IC-76) :Hydrocyanic acid (HCN)
Control Positive Low molecular weight antimicrobial metabolite which inhibits
electron transport and hence disruption of energy supply tothe cells.
HCN production by IC-76 = 2(HCN production is estimated on a 0−3 rating scale based onthe intensity of the reddish brown color as follows: 0 = nocolor change; 1 = light reddish brown; 2 = medium reddishbrown and 3 = dark reddish brown)
IARI
• Of 243 Mesorhizobium isolates of chickpea (Ludhiana, Pantnagar), 8 were found promising with PGP and BNF traits. Identified potential isolates of Mesorhizobium needs to be characterized on molecular basis and evaluated for BNF and yield under field conditions (min. 3 years) for harnessing their potential for chickpea and chickpea based cropping systems.
• Few non-rhizobial bacteria also noticed in the nodules which should be deciphered for their exact role in chickpea.
Identification of promising Mesorhizobium with PGP traits
3. Influence of rhizobia, variety and P-fertilizer on grain yield in soybean and climbing beans
Response of promiscuous and specific soybean varieties to inoculation in Kenya
0.0
1.0
2.0
3.0
4.0
5.0
EAI 3
600
Nam
soy
4m
TGx
1740
-2F
TGx
1895
-33F
TGx
1835
-10F
EAI 3
600
Nam
soy
4m
TGx
1740
-2F
TGx
1895
-33F
TGx
1835
-10F
ARDAP George Kivanda
Soyb
ean
grai
n yi
eld
(t/h
a)- Inoc
+ Inoc
Stronger inoculation response significantly evident in some varieties
Effect of P-fertilizer and/or Inoculant on soybean grain yield (t ha-1) in Nigeria
P and rhizobialinoculant plays key role in grain yield. Highest yield was obtained when applied both.
Cumulative probability of soybean grain yield (t ha-1) in Nigeria
50% of farmers gets grain yield > 1 t ha-1 in the treatment without inputs. With P + Inoculant, 50% gets >1.8 t ha-1 yield
Cumulative probability of relative increase (%) in soybean grain yield compared to control in Nigeria
Inoculation makes P economic!!
40% of farmers got 100% more yield with P + Inoculant whereas 50% of farmers gets a yield increase of about 40% or more with P or I only.
Soybean on problem soils in ZimbabweSingle Super Phosphate (SSP), Compound L (N:P205:K20:S + B -5:17:10:8:0.25) and Dolomitic lime (500 kg/ha)
P in combination with rhizobia yielded more. When lime added with P & rhizobia, yield was higher
Effect of herbicides on rhizobium nodulation
• Metribuzin and Imizathapyr postemergence treatment hasnegative effects on Rhizobiumnodulation in Faba bean
• The accession IG100096 collectedfrom morocco showed highnodulation number underherbicides treatments
0
2
4
6
8
10
12
[5.5
6-11
.95]
[13.
42-1
3.66
]
>37.
5
Number of genotypes
NNP
Current and future suitability (left and right) of climbing beans
Analyzing demand and setting research priorities
Grain Yield & Total Ndfa of promising climbing bean genotypes: Field evaluation at 2 locations in ColombiaDarien: 68.3
MAC 27: high grain yield & good SNF ability
ENF 235
Darien: 91.2 Popayan: 51.2
CGA 10
Darien: 90.3 Popayan: 42.3
Grain yield (kg ha -1) Total Ndfa (kgN ha -1)Genotype Darien Popayan Darien Popayán
Prom
isin
g fo
r SN
F ENF 235 3224 2969 91.7 51.2
CGA 10 4572 3294 90.4 42.3ENF 21 4264 3357 71.7 54.6
ENF 28 3362 3229 68.1 50.2
ENF 234 3241 3632 62.0 51.5
High
yie
ldin
g
ENF 83 5975 3909 47.3 46.7
MBC 117 5192 3615 48.8 39.4
MAC 57 4628 4584 50.2 50.3
Controls
MAC 27 6827 4460 56.6 56.8GLORIABAMBA NN 2043 2557 0.0 0.0
Range100 lines 6827- 1777 4643 - 1930 91.7 - 0.2 60.1 - 0.3average 3592 3172 49.2 42.4Sig. diff *** *** *** ***
Gloriabamba NN: a non-nodulating check that yielded less, indicating N deficiency at each site. SNF ability combined with high grain yield, NUE, NPI and Canopy Biomass.
4. Quantification of SNF by 15N natural abundance method
Quantification of SNF by 15N natural abundance methodOne of CIAT’s specific objectives was to validate the
measurement of 15N in grain to quantify SNF ability. This observation was similar to bush beans published
this year by Polania et al entitled “Estimation ofphenotypic variability in symbiotic nitrogen fixationability of common bean under drought stress using15Nnatural abundance in grain”. Europ. J. Agronomy 79(2016) 66–73 . This study reaffirms that the use of grain sample is
valid to quantify SNF ability using 15N naturalabundance method. Here again, Glroiabamba NN is anon-nodulating genotype.
3 4 5 6 7 8 91
2
3
4
5
6
7
8
9
shoot 15N Natural abundance (0/00)
Gra
in 1
5N N
atur
al a
bund
ance
(0/0
0)
Mean: 5.9***
Mean: 4.2 **
r= 0.51***GLORIABAMBA NN
ENF 81
ENF 235ENF 28
PO 07AT 49CGA 10
ENF 234ENF 21ENF 159
ENF 82
CGA 11
ENF 213
ENF 207
ENF 117
ENF 64ENF 188
CGA 64ENF 34
CGA 52ENF 24ENF 71
ENF 85ENF 211 ENF 86
CGA 52
Relationship between 15N natural abundance in shoot vs 15N natural abundance in grain to validate the use of grainmethod for breeding
Positive & highly significant correlation. Grain sample can beconsidered as valid to quantify SNF ability using 15 N naturalabundance method.
Impact Ex-post evaluation of climbing bean technology in
Rwanda (DIIVA, 2013) Yield increase compared to bush beans of … 270 kg/ha in poor soil fertility plots 657 kg/ha in better fertility plots
For 10 kg of climbing bean planted… Per capita consumption increases by 5 kg in that
agricultural season Per capita annual expenditure increases by 9% Poverty gap reduces by 3% per year
Lessons Learned/Summary
Quality of rhizobial inoculants need to be ensured. Reliable and quick quality control techniques need to
be developed. Capacity building for inoculants production Influence of variety, high nodulating and nitrogen fixing
rhizobia and phosphorous on SNF and grain yield well established. It is time to pass on this knowledge to farmers. Large scale demonstration need to be conducted on
farmers fields to provide confidence to the farmers.Grain sample can be considered as valid to quantify SNF
ability using 15 N natural abundance method.
Future areas for R4D Identification of high nodulating and nitrogen fixing
indigenous rhizobia, suitable for a region. Rhizobia for problem soils such as acidic/saline soils. Identify the crop variety that supports high SNF.Mass multiplication and easy to handle formulations. Easy and quick quality check technique and
monitoring of supplied chain.On-farm demonstrations to convince farmers. Pinpointing contribution of nitrogen in terms of
nitrogen economy to succeeding crop(s).
Contributing Bilateral Projects
N2 AfricaCRP-GL Supported projects
Indian Council of Agril. Research (ICAR) is going to create 16 Bio-fertilizer and Bio-pesticide Hubs in different states of India for production of Bio-inoculants in 2016
Posters displayed 1. Assessment of inherent nodulation potential among chickpea
accessions belonging to minicore set. (K. Swarnalakshmi, S. Gopalakrishnan, M. Singh, Sushil K Chaturvedi, Abhishek Rathore, Vijay Pooniya, Hari D Upadhyaya and P S Basu).
1. Studies on influence of pink-pigmented facultative methylotrophic bacteria PPFMs and Rhizobium inoculation on BNF in Faba bean and Chickpea genotypes. By Fouad Maalouf, Aladdin Hamwieh, H.A. Taleb and Rehab Abdul Rehman.
2. Assessment of chickpea Mesorhizobium symbiosis for biological Nitrogen fixation and yield enhancement. By Poonam Sharma, Ramesh Chandra, G. Kaur, S. Kaur, N. Pareek and Sarvjeet Singh.
3. Evaluation of genotypic variation in symbiotic nitrogen fixation ability in climbing bean. By Norma Barbosa, Elizabeth P., HectorFabio Buendia, Bodo Raatz, Idupulapati Rao, Stephen Beebe.
Leveraging legumes to combat poverty, hunger, malnutrition and environmental degradation
Thank you very much
Presented on behalf of Team PL 4