SlideShare a Scribd company logo
1 of 13
INTEGRATED AND LOCALLY ADAPTED
STRIGA ASIATICA CONTROL:
Combining a Zero-tillage Rice–Maize
Cover-Crop Rotation System with
Resistant Rice Varieties
Alain Paul Andrianaivo
(SRiD-FoFiFa, Antananarivo, Madagascar)
Roger Michellon
(SCRiD-Cirad, Antsirabe, Madagascar)
Jonne Rodenburg
(AfricaRice , Dar es Salaam, Tanzania)
Meva Tahiry Randrianjafizanaka
(Univ. Tulear ,Madagascar)
Striga asiatica (L.) Kuntze
• Common weed in the midwest of the Vakinankaratra
region (800-1000 a.s.l.)

• Cropping systems:
Rice//maize
• Serious yield losses
Objective
• Soil conservation
management

•

Integrated
Striga
control
Hypotheses
• Combining zero-tillage with intercropping will
- protecting the soil
- improving the organic matter content
- reduce Striga infestation rates
• Stylosanthes has a suppressive effect on
Striga
• Striga resistant rice varieties should enhance
Striga suppression
Material and methods
• Site Selection: Ivory
• Treatments and experimental set-up
 three seasons (2011-2014)
 Split-Split plot design (6 rep.)
 4 cropping systems(S1-S4)
 3 rice varieties (V1-V3)
 1 maize locally variety
Material and methods
• S1: Rice//Maize + tillage + Crop residue removal
• S2. Rice // Maize + Cowpea + Mucuna
• S 3. Rice // Maize + Vigna umbellata

• S4. Rice + Stylosanthes // Maize+ Stylo.
 V1: B 22. , Striga susceptible
 V2: Nerica 9. Striga moderately resistant
 V3: Nerica 4. Striga resistant
Material and methods

Phase

Season 1 (2011-2012)
Season 3 (2013-2014)

Season 2 (2012-2013)

Rice

Maize

P2

Maize

Rice

P1

Rice

Maize + cowpea + mucuna

P2

Maize + cowpea + mucuna

Rice

P1

Rice

Maize + Vigna umbellata

P2

Maize + V. umbellata

Rice

P1

Rice + Stylosanthes
(year 1)

Maize + Stylosanthes (year 2)

P2

Maize + Stylosanthes (year 1) +
supplementary Stylosanthes residues

Rice in Stylosanthes residues of year 11

System 4

System 1

P1

System 2

Tillage and
residue
management

System 3

System

Table 1. Cropping systems plan for season 1 to season 3.

Tillage,
No residues

Zero-tillage +
Residues
Results
Table 2. Striga numbers (10 m-2) in rice at harvest
Rice variety

Season

System

Mean
B22

NERICA-9

NERICA-4

S1: Rice//Maize

38.9

2.1

0.2

4.3

S2: Rice//Maize cowpea + mucuna

6.9

1.7

1.3

2.7

2011/2012

S3: Rice//Maize V. umbellata

6.3

2.5

0.6

2.4

1

S4: Rice + Stylosanthes//maize + Stylosanthes

9.1

1.6

0.9

2.7

Mean 11.3

A2

2.0

B

0.7

B

S1: Rice//Maize

159.4 a4

37.4

ab

0.3

cd

65.7 x5

S2: Rice//Maize cowpea + mucuna

38.8

ab

22.4

ab

2.6

cd

21.3 x

2012/2013

S3: Rice//Maize V. umbellata

14.9

bc

17.5

ab

0.4

cd

11.0 x

3

S4: Rice + Stylosanthes//maize + Stylosanthes

3.9

bcd

1.9

cd

0.00

d

1.9

A

19.8

B

0.8

C

25.0

Mean 54.3
1

In the 2011-2012 cropping season, phase 1, S1 till S3 are all rice-only.

2

Values in the same row followed by different letters (A-C) are significantly different (P<0.05).

3

Results on rice in season 2012-2013 are derived from plots that were preceded by maize or maize and cover crops in the 2011-2012 season (earlier referred to as phase 2).

4

Values followed by different letters (a-d) are significantly different (P<0.05).

5 Values

in one column followed by different letters (x or y) are significantly different (P<0.05).

y
Results
Table 3. Striga numbers (10 m-2) in maize in season 2 near harvest time, following
different cropping systems and with different rice varieties in the preceding 2011/2012
season.
Rice variety in preceding season
Season

System

B22

NERICA-9

NERICA-4

Mean

S1: Rice//Maize

306.8

a1

100.2

a

19.1

ab

142.0

x2

S2: Rice//Maize cowpea + mucuna

35.5

a

38.5

a

43.8

ab

39.3

y

S3: Rice//Maize V. umbellata

90.5

a

63.3

a

19.6

a

57.8

y

S4: Rice + Stylosanthes//maize + Stylosanthes

0.0

b

0.0

b

0.0

b

0.0

z

108.2

A3

50.5

20.6

B

2012/2013

Mean

1

Values followed by different letters (a-d) are significantly different (P<0.05).

2

Values in ‘Mean’ column followed by different letters (x or y) are significantly different (P<0.05).

3

Values in the ‘Mean’ row followed by different letters (A-C) are significantly different (P<0.05).

AB
carry-over effect of resistance in Maize//Rice

Maize//NERICA9

Maize//B22

Maize//NERICA4
Results
Table 4. Rice yields (t ha-1) following different cropping systems and rice varieties
Season

System

Rice variety
B22

NERICA-9

Mean
NERICA-4

S1: Rice//Maize
S2: Rice//Maize cowpea + mucuna
2011/20121

1.8

1.9

2.1

1.9

1.9

1.7

1.7

1.73

1.8

1.8

1.9

S3: Rice//Maize V. umbellata
S4: Rice + Stylosanthes//maize + Stylosanthes
Mean

S1: Rice//Maize

1.8

c2

2.3

bc

2.2

bc

2.1

y3

S2: Rice//Maize cowpea + mucuna

2.9

ab

3.2

a

3.3

a

3.2

x

S3: Rice//Maize V. umbellata

2.5

abc

1.9

c

2.2

bc

2.2

y

S4: Rice + Stylosanthes//Maize + Stylosanthes

2012/2013

0.74

d

0.5

d

0.5

d

0.6

z

2.0

A5

2.0

A

2.1

A

Mean
1

In the 2011-2012 cropping season, phase 1, S1 till S3 are all rice-only; therefore these systems are combined in the analyses, for comparison with rice - Stylosanthes. No

significant yield differences were observed this season.
2

Values followed by different letters (a-d) are significantly different (P<0.05).

3

Values in the ‘Mean’ column, followed by different letters (x-z) are significantly different (P<0.05).

4

This system should be evaluated in the third year following all of the three stages: 1. Rice with Stylosanthes (year 1) followed by 2. Maize with Stylosanthes (year 2),

concluded by 3. Rice sown in the slashed residues of the Stylosanthes.
5

Values in the same row followed by different letters (A-C) are significantly different (P<0.05).
Conclusions
• Striga densities are reduced by S2, S3 and S4. Particulary

with Vigna umbellata and Stylosanthes guianensis.
• With respect to rice yields, the best system, is S2 :(Rice//Maize
+cowpea+mucuna
•

For subsistence farmers in central Madagascar, that have to
deal with soils that are both highly infested by Striga asiatica
and highly vulnerable to degradation, a system of rice rotation
with a maize – legume intercrop following zero-tillage, without
removing crop residues, is likely to represent an attractive

alternative to the current practice
Acknowledgements
CGIAR /GRISP
Cirad

Merci de votre aimable
attention !

More Related Content

Similar to Integrated Striga Control Through Zero-tillage Rice-Maize Rotation

Organic Rice Production and SRI - Mr. Boondit Varinruk
Organic Rice Production and SRI - Mr. Boondit VarinrukOrganic Rice Production and SRI - Mr. Boondit Varinruk
Organic Rice Production and SRI - Mr. Boondit VarinrukSri Lmb
 
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal CIMMYT
 
Central & West Asia and North Africa: Where Wheat Improvement Matters
Central & West Asia and North Africa:  Where Wheat Improvement MattersCentral & West Asia and North Africa:  Where Wheat Improvement Matters
Central & West Asia and North Africa: Where Wheat Improvement MattersCIMMYT
 
Improving production potential of sorghum and finger millets through genetic ...
Improving production potential of sorghum and finger millets through genetic ...Improving production potential of sorghum and finger millets through genetic ...
Improving production potential of sorghum and finger millets through genetic ...ILRI
 
Oil seed based crop
Oil seed based cropOil seed based crop
Oil seed based cropJigar Joshi
 
Breeding for Dual purpose in sorghum. Effect of harvest options and genotypes...
Breeding for Dual purpose in sorghum. Effect of harvest options and genotypes...Breeding for Dual purpose in sorghum. Effect of harvest options and genotypes...
Breeding for Dual purpose in sorghum. Effect of harvest options and genotypes...Maarouf Mohammed
 
HONEY BEE PRODUCTION PRACTICES AND HONEY QUALITY IN SILTI WEREDA, ETHIOPIA
HONEY BEE PRODUCTION PRACTICES AND HONEY QUALITY IN SILTI WEREDA, ETHIOPIAHONEY BEE PRODUCTION PRACTICES AND HONEY QUALITY IN SILTI WEREDA, ETHIOPIA
HONEY BEE PRODUCTION PRACTICES AND HONEY QUALITY IN SILTI WEREDA, ETHIOPIAAlemayehu Kebede
 
hybrid pigeonpea yield maximization through transplanting
hybrid pigeonpea yield maximization through transplanting  hybrid pigeonpea yield maximization through transplanting
hybrid pigeonpea yield maximization through transplanting bathualavenkatesh
 
Th3_QUANTITATIVE & QUALITATIVE POST HARVEST LOSSES OF RICE IN AFIFE, A FARMIN...
Th3_QUANTITATIVE & QUALITATIVE POST HARVEST LOSSES OF RICE IN AFIFE, A FARMIN...Th3_QUANTITATIVE & QUALITATIVE POST HARVEST LOSSES OF RICE IN AFIFE, A FARMIN...
Th3_QUANTITATIVE & QUALITATIVE POST HARVEST LOSSES OF RICE IN AFIFE, A FARMIN...Africa Rice Center (AfricaRice)
 
Th3_Evolution et perspectives de la transformation du riz à l’Office du Niger...
Th3_Evolution et perspectives de la transformation du riz à l’Office du Niger...Th3_Evolution et perspectives de la transformation du riz à l’Office du Niger...
Th3_Evolution et perspectives de la transformation du riz à l’Office du Niger...Africa Rice Center (AfricaRice)
 
" Harnessing agricultural biotechnology for resilience to climate change: A l...
" Harnessing agricultural biotechnology for resilience to climate change: A l..." Harnessing agricultural biotechnology for resilience to climate change: A l...
" Harnessing agricultural biotechnology for resilience to climate change: A l...ExternalEvents
 
Post-harvest losses in Ethiopia: measures and associates
Post-harvest losses in Ethiopia: measures and associates Post-harvest losses in Ethiopia: measures and associates
Post-harvest losses in Ethiopia: measures and associates essp2
 

Similar to Integrated Striga Control Through Zero-tillage Rice-Maize Rotation (20)

1003 Study and Utilization of the SRI Technology
1003 Study and Utilization of the SRI Technology 1003 Study and Utilization of the SRI Technology
1003 Study and Utilization of the SRI Technology
 
1005 The System of Rice Intensification
1005 The System of Rice Intensification1005 The System of Rice Intensification
1005 The System of Rice Intensification
 
Organic Rice Production and SRI - Mr. Boondit Varinruk
Organic Rice Production and SRI - Mr. Boondit VarinrukOrganic Rice Production and SRI - Mr. Boondit Varinruk
Organic Rice Production and SRI - Mr. Boondit Varinruk
 
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
Heat Stress Resilient Maize Hybrids for Terai Region of Nepal
 
Tuesday theme 2 1050 1105 room 11 njoku
Tuesday theme 2 1050 1105 room 11 njokuTuesday theme 2 1050 1105 room 11 njoku
Tuesday theme 2 1050 1105 room 11 njoku
 
The System of Rice Intensification (SRI)
The System of Rice Intensification (SRI)The System of Rice Intensification (SRI)
The System of Rice Intensification (SRI)
 
Central & West Asia and North Africa: Where Wheat Improvement Matters
Central & West Asia and North Africa:  Where Wheat Improvement MattersCentral & West Asia and North Africa:  Where Wheat Improvement Matters
Central & West Asia and North Africa: Where Wheat Improvement Matters
 
Monday theme 5 1430 1445 room 10 nabukera
Monday theme 5 1430 1445 room 10 nabukeraMonday theme 5 1430 1445 room 10 nabukera
Monday theme 5 1430 1445 room 10 nabukera
 
Improving production potential of sorghum and finger millets through genetic ...
Improving production potential of sorghum and finger millets through genetic ...Improving production potential of sorghum and finger millets through genetic ...
Improving production potential of sorghum and finger millets through genetic ...
 
Oil seed based crop
Oil seed based cropOil seed based crop
Oil seed based crop
 
Manipulating cropping systems to improve soil fertility
Manipulating cropping systems to improve soil fertilityManipulating cropping systems to improve soil fertility
Manipulating cropping systems to improve soil fertility
 
Breeding for Dual purpose in sorghum. Effect of harvest options and genotypes...
Breeding for Dual purpose in sorghum. Effect of harvest options and genotypes...Breeding for Dual purpose in sorghum. Effect of harvest options and genotypes...
Breeding for Dual purpose in sorghum. Effect of harvest options and genotypes...
 
HONEY BEE PRODUCTION PRACTICES AND HONEY QUALITY IN SILTI WEREDA, ETHIOPIA
HONEY BEE PRODUCTION PRACTICES AND HONEY QUALITY IN SILTI WEREDA, ETHIOPIAHONEY BEE PRODUCTION PRACTICES AND HONEY QUALITY IN SILTI WEREDA, ETHIOPIA
HONEY BEE PRODUCTION PRACTICES AND HONEY QUALITY IN SILTI WEREDA, ETHIOPIA
 
hybrid pigeonpea yield maximization through transplanting
hybrid pigeonpea yield maximization through transplanting  hybrid pigeonpea yield maximization through transplanting
hybrid pigeonpea yield maximization through transplanting
 
1017 Current Developments with SRI: Other Methods, Other Crops, Mechanization...
1017 Current Developments with SRI: Other Methods, Other Crops, Mechanization...1017 Current Developments with SRI: Other Methods, Other Crops, Mechanization...
1017 Current Developments with SRI: Other Methods, Other Crops, Mechanization...
 
Th3_QUANTITATIVE & QUALITATIVE POST HARVEST LOSSES OF RICE IN AFIFE, A FARMIN...
Th3_QUANTITATIVE & QUALITATIVE POST HARVEST LOSSES OF RICE IN AFIFE, A FARMIN...Th3_QUANTITATIVE & QUALITATIVE POST HARVEST LOSSES OF RICE IN AFIFE, A FARMIN...
Th3_QUANTITATIVE & QUALITATIVE POST HARVEST LOSSES OF RICE IN AFIFE, A FARMIN...
 
Th3_Evolution et perspectives de la transformation du riz à l’Office du Niger...
Th3_Evolution et perspectives de la transformation du riz à l’Office du Niger...Th3_Evolution et perspectives de la transformation du riz à l’Office du Niger...
Th3_Evolution et perspectives de la transformation du riz à l’Office du Niger...
 
" Harnessing agricultural biotechnology for resilience to climate change: A l...
" Harnessing agricultural biotechnology for resilience to climate change: A l..." Harnessing agricultural biotechnology for resilience to climate change: A l...
" Harnessing agricultural biotechnology for resilience to climate change: A l...
 
Post-harvest losses in Ethiopia: measures and associates
Post-harvest losses in Ethiopia: measures and associates Post-harvest losses in Ethiopia: measures and associates
Post-harvest losses in Ethiopia: measures and associates
 
Evaluation of Contrasting Crop Rotation Systems
Evaluation of Contrasting Crop Rotation SystemsEvaluation of Contrasting Crop Rotation Systems
Evaluation of Contrasting Crop Rotation Systems
 

More from Africa Rice Center (AfricaRice)

IBP/IFAD Project - Enhancing institutional breeding capacity in Ghana, Senega...
IBP/IFAD Project - Enhancing institutional breeding capacity in Ghana, Senega...IBP/IFAD Project - Enhancing institutional breeding capacity in Ghana, Senega...
IBP/IFAD Project - Enhancing institutional breeding capacity in Ghana, Senega...Africa Rice Center (AfricaRice)
 
Recensement électronique et géo-référence des acteurs de la chaine de valeur...
Recensement électronique et  géo-référence des acteurs de la chaine de valeur...Recensement électronique et  géo-référence des acteurs de la chaine de valeur...
Recensement électronique et géo-référence des acteurs de la chaine de valeur...Africa Rice Center (AfricaRice)
 
Partnerships for efficient quality seed production and variety dissemination
Partnerships for efficient quality seed production and variety disseminationPartnerships for efficient quality seed production and variety dissemination
Partnerships for efficient quality seed production and variety disseminationAfrica Rice Center (AfricaRice)
 
L’autosuffisance de l’Afrique en riz : opportunités et défis à l’échelle du ...
L’autosuffisance de l’Afrique en riz : opportunités et défis à l’échelledu ...L’autosuffisance de l’Afrique en riz : opportunités et défis à l’échelledu ...
L’autosuffisance de l’Afrique en riz : opportunités et défis à l’échelle du ...Africa Rice Center (AfricaRice)
 
Autosuffisance du riz en Côte d‘Ivoire Contribution d’AfricaRice
Autosuffisance du riz en Côte d‘Ivoire Contribution d’AfricaRiceAutosuffisance du riz en Côte d‘Ivoire Contribution d’AfricaRice
Autosuffisance du riz en Côte d‘Ivoire Contribution d’AfricaRiceAfrica Rice Center (AfricaRice)
 
Global research partnership efforts: tackling food and environmental challeng...
Global research partnership efforts: tackling food and environmental challeng...Global research partnership efforts: tackling food and environmental challeng...
Global research partnership efforts: tackling food and environmental challeng...Africa Rice Center (AfricaRice)
 
Africa Rice Center (AfricaRice): A CGIAR research center and pan-African asso...
Africa Rice Center (AfricaRice): A CGIAR research center and pan-African asso...Africa Rice Center (AfricaRice): A CGIAR research center and pan-African asso...
Africa Rice Center (AfricaRice): A CGIAR research center and pan-African asso...Africa Rice Center (AfricaRice)
 
Africa Riceing : Mobilizing and applying science and complementary resources ...
Africa Riceing : Mobilizing and applying science and complementary resources ...Africa Riceing : Mobilizing and applying science and complementary resources ...
Africa Riceing : Mobilizing and applying science and complementary resources ...Africa Rice Center (AfricaRice)
 
Rice value chain: Highlights of Achievements & Perspectives
Rice value chain: Highlights of Achievements & PerspectivesRice value chain: Highlights of Achievements & Perspectives
Rice value chain: Highlights of Achievements & PerspectivesAfrica Rice Center (AfricaRice)
 

More from Africa Rice Center (AfricaRice) (20)

Overview of CGIAR’s Big Data Platform
Overview of CGIAR’s Big Data PlatformOverview of CGIAR’s Big Data Platform
Overview of CGIAR’s Big Data Platform
 
IBP/IFAD Project - Enhancing institutional breeding capacity in Ghana, Senega...
IBP/IFAD Project - Enhancing institutional breeding capacity in Ghana, Senega...IBP/IFAD Project - Enhancing institutional breeding capacity in Ghana, Senega...
IBP/IFAD Project - Enhancing institutional breeding capacity in Ghana, Senega...
 
Scaling-up agricultural mechanization
Scaling-up agricultural mechanizationScaling-up agricultural mechanization
Scaling-up agricultural mechanization
 
Rice Trends in Sub-Saharan Africa (2008-2018)
Rice Trends in Sub-Saharan Africa (2008-2018)Rice Trends in Sub-Saharan Africa (2008-2018)
Rice Trends in Sub-Saharan Africa (2008-2018)
 
Seed systems and rice seed capital in Africa
Seed systems and rice seed capital in AfricaSeed systems and rice seed capital in Africa
Seed systems and rice seed capital in Africa
 
Recensement électronique et géo-référence des acteurs de la chaine de valeur...
Recensement électronique et  géo-référence des acteurs de la chaine de valeur...Recensement électronique et  géo-référence des acteurs de la chaine de valeur...
Recensement électronique et géo-référence des acteurs de la chaine de valeur...
 
Good Agricultural Practices (GAP)
Good Agricultural Practices (GAP)Good Agricultural Practices (GAP)
Good Agricultural Practices (GAP)
 
RiceAdvice
RiceAdviceRiceAdvice
RiceAdvice
 
Partnerships for efficient quality seed production and variety dissemination
Partnerships for efficient quality seed production and variety disseminationPartnerships for efficient quality seed production and variety dissemination
Partnerships for efficient quality seed production and variety dissemination
 
Post-harvest & Processing Technologies
Post-harvest & Processing TechnologiesPost-harvest & Processing Technologies
Post-harvest & Processing Technologies
 
Innovation Platforms
Innovation PlatformsInnovation Platforms
Innovation Platforms
 
Africa Rice Center (AfricaRice)
Africa Rice Center (AfricaRice)Africa Rice Center (AfricaRice)
Africa Rice Center (AfricaRice)
 
Achieving rice self-sufficiency in Africa
Achieving rice self-sufficiency in AfricaAchieving rice self-sufficiency in Africa
Achieving rice self-sufficiency in Africa
 
L’autosuffisance de l’Afrique en riz : opportunités et défis à l’échelle du ...
L’autosuffisance de l’Afrique en riz : opportunités et défis à l’échelledu ...L’autosuffisance de l’Afrique en riz : opportunités et défis à l’échelledu ...
L’autosuffisance de l’Afrique en riz : opportunités et défis à l’échelle du ...
 
Autosuffisance du riz en Côte d‘Ivoire Contribution d’AfricaRice
Autosuffisance du riz en Côte d‘Ivoire Contribution d’AfricaRiceAutosuffisance du riz en Côte d‘Ivoire Contribution d’AfricaRice
Autosuffisance du riz en Côte d‘Ivoire Contribution d’AfricaRice
 
Global research partnership efforts: tackling food and environmental challeng...
Global research partnership efforts: tackling food and environmental challeng...Global research partnership efforts: tackling food and environmental challeng...
Global research partnership efforts: tackling food and environmental challeng...
 
Africa Rice Center (AfricaRice): A CGIAR research center and pan-African asso...
Africa Rice Center (AfricaRice): A CGIAR research center and pan-African asso...Africa Rice Center (AfricaRice): A CGIAR research center and pan-African asso...
Africa Rice Center (AfricaRice): A CGIAR research center and pan-African asso...
 
Africa Riceing : Mobilizing and applying science and complementary resources ...
Africa Riceing : Mobilizing and applying science and complementary resources ...Africa Riceing : Mobilizing and applying science and complementary resources ...
Africa Riceing : Mobilizing and applying science and complementary resources ...
 
Rice value chain: Highlights of Achievements & Perspectives
Rice value chain: Highlights of Achievements & PerspectivesRice value chain: Highlights of Achievements & Perspectives
Rice value chain: Highlights of Achievements & Perspectives
 
Value Chain Actors: from seed to markets
Value Chain Actors: from seed to marketsValue Chain Actors: from seed to markets
Value Chain Actors: from seed to markets
 

Recently uploaded

Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Hiroshi SHIBATA
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024BookNet Canada
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch TuesdayIvanti
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsRavi Sanghani
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Mark Goldstein
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxLoriGlavin3
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...Wes McKinney
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxfnnc6jmgwh
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...itnewsafrica
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfpanagenda
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxLoriGlavin3
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Nikki Chapple
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 

Recently uploaded (20)

Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024Long journey of Ruby standard library at RubyConf AU 2024
Long journey of Ruby standard library at RubyConf AU 2024
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
New from BookNet Canada for 2024: Loan Stars - Tech Forum 2024
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
2024 April Patch Tuesday
2024 April Patch Tuesday2024 April Patch Tuesday
2024 April Patch Tuesday
 
Potential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and InsightsPotential of AI (Generative AI) in Business: Learnings and Insights
Potential of AI (Generative AI) in Business: Learnings and Insights
 
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
Arizona Broadband Policy Past, Present, and Future Presentation 3/25/24
 
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptxThe Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
The Fit for Passkeys for Employee and Consumer Sign-ins: FIDO Paris Seminar.pptx
 
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
The Future Roadmap for the Composable Data Stack - Wes McKinney - Data Counci...
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
 
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...Abdul Kader Baba- Managing Cybersecurity Risks  and Compliance Requirements i...
Abdul Kader Baba- Managing Cybersecurity Risks and Compliance Requirements i...
 
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdfSo einfach geht modernes Roaming fuer Notes und Nomad.pdf
So einfach geht modernes Roaming fuer Notes und Nomad.pdf
 
The State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptxThe State of Passkeys with FIDO Alliance.pptx
The State of Passkeys with FIDO Alliance.pptx
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
Microsoft 365 Copilot: How to boost your productivity with AI – Part one: Ado...
 
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data PrivacyTrustArc Webinar - How to Build Consumer Trust Through Data Privacy
TrustArc Webinar - How to Build Consumer Trust Through Data Privacy
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 

Integrated Striga Control Through Zero-tillage Rice-Maize Rotation

  • 1. INTEGRATED AND LOCALLY ADAPTED STRIGA ASIATICA CONTROL: Combining a Zero-tillage Rice–Maize Cover-Crop Rotation System with Resistant Rice Varieties Alain Paul Andrianaivo (SRiD-FoFiFa, Antananarivo, Madagascar) Roger Michellon (SCRiD-Cirad, Antsirabe, Madagascar) Jonne Rodenburg (AfricaRice , Dar es Salaam, Tanzania) Meva Tahiry Randrianjafizanaka (Univ. Tulear ,Madagascar)
  • 2. Striga asiatica (L.) Kuntze • Common weed in the midwest of the Vakinankaratra region (800-1000 a.s.l.) • Cropping systems: Rice//maize • Serious yield losses
  • 4. Hypotheses • Combining zero-tillage with intercropping will - protecting the soil - improving the organic matter content - reduce Striga infestation rates • Stylosanthes has a suppressive effect on Striga • Striga resistant rice varieties should enhance Striga suppression
  • 5. Material and methods • Site Selection: Ivory • Treatments and experimental set-up  three seasons (2011-2014)  Split-Split plot design (6 rep.)  4 cropping systems(S1-S4)  3 rice varieties (V1-V3)  1 maize locally variety
  • 6. Material and methods • S1: Rice//Maize + tillage + Crop residue removal • S2. Rice // Maize + Cowpea + Mucuna • S 3. Rice // Maize + Vigna umbellata • S4. Rice + Stylosanthes // Maize+ Stylo.  V1: B 22. , Striga susceptible  V2: Nerica 9. Striga moderately resistant  V3: Nerica 4. Striga resistant
  • 7. Material and methods Phase Season 1 (2011-2012) Season 3 (2013-2014) Season 2 (2012-2013) Rice Maize P2 Maize Rice P1 Rice Maize + cowpea + mucuna P2 Maize + cowpea + mucuna Rice P1 Rice Maize + Vigna umbellata P2 Maize + V. umbellata Rice P1 Rice + Stylosanthes (year 1) Maize + Stylosanthes (year 2) P2 Maize + Stylosanthes (year 1) + supplementary Stylosanthes residues Rice in Stylosanthes residues of year 11 System 4 System 1 P1 System 2 Tillage and residue management System 3 System Table 1. Cropping systems plan for season 1 to season 3. Tillage, No residues Zero-tillage + Residues
  • 8. Results Table 2. Striga numbers (10 m-2) in rice at harvest Rice variety Season System Mean B22 NERICA-9 NERICA-4 S1: Rice//Maize 38.9 2.1 0.2 4.3 S2: Rice//Maize cowpea + mucuna 6.9 1.7 1.3 2.7 2011/2012 S3: Rice//Maize V. umbellata 6.3 2.5 0.6 2.4 1 S4: Rice + Stylosanthes//maize + Stylosanthes 9.1 1.6 0.9 2.7 Mean 11.3 A2 2.0 B 0.7 B S1: Rice//Maize 159.4 a4 37.4 ab 0.3 cd 65.7 x5 S2: Rice//Maize cowpea + mucuna 38.8 ab 22.4 ab 2.6 cd 21.3 x 2012/2013 S3: Rice//Maize V. umbellata 14.9 bc 17.5 ab 0.4 cd 11.0 x 3 S4: Rice + Stylosanthes//maize + Stylosanthes 3.9 bcd 1.9 cd 0.00 d 1.9 A 19.8 B 0.8 C 25.0 Mean 54.3 1 In the 2011-2012 cropping season, phase 1, S1 till S3 are all rice-only. 2 Values in the same row followed by different letters (A-C) are significantly different (P<0.05). 3 Results on rice in season 2012-2013 are derived from plots that were preceded by maize or maize and cover crops in the 2011-2012 season (earlier referred to as phase 2). 4 Values followed by different letters (a-d) are significantly different (P<0.05). 5 Values in one column followed by different letters (x or y) are significantly different (P<0.05). y
  • 9. Results Table 3. Striga numbers (10 m-2) in maize in season 2 near harvest time, following different cropping systems and with different rice varieties in the preceding 2011/2012 season. Rice variety in preceding season Season System B22 NERICA-9 NERICA-4 Mean S1: Rice//Maize 306.8 a1 100.2 a 19.1 ab 142.0 x2 S2: Rice//Maize cowpea + mucuna 35.5 a 38.5 a 43.8 ab 39.3 y S3: Rice//Maize V. umbellata 90.5 a 63.3 a 19.6 a 57.8 y S4: Rice + Stylosanthes//maize + Stylosanthes 0.0 b 0.0 b 0.0 b 0.0 z 108.2 A3 50.5 20.6 B 2012/2013 Mean 1 Values followed by different letters (a-d) are significantly different (P<0.05). 2 Values in ‘Mean’ column followed by different letters (x or y) are significantly different (P<0.05). 3 Values in the ‘Mean’ row followed by different letters (A-C) are significantly different (P<0.05). AB
  • 10. carry-over effect of resistance in Maize//Rice Maize//NERICA9 Maize//B22 Maize//NERICA4
  • 11. Results Table 4. Rice yields (t ha-1) following different cropping systems and rice varieties Season System Rice variety B22 NERICA-9 Mean NERICA-4 S1: Rice//Maize S2: Rice//Maize cowpea + mucuna 2011/20121 1.8 1.9 2.1 1.9 1.9 1.7 1.7 1.73 1.8 1.8 1.9 S3: Rice//Maize V. umbellata S4: Rice + Stylosanthes//maize + Stylosanthes Mean S1: Rice//Maize 1.8 c2 2.3 bc 2.2 bc 2.1 y3 S2: Rice//Maize cowpea + mucuna 2.9 ab 3.2 a 3.3 a 3.2 x S3: Rice//Maize V. umbellata 2.5 abc 1.9 c 2.2 bc 2.2 y S4: Rice + Stylosanthes//Maize + Stylosanthes 2012/2013 0.74 d 0.5 d 0.5 d 0.6 z 2.0 A5 2.0 A 2.1 A Mean 1 In the 2011-2012 cropping season, phase 1, S1 till S3 are all rice-only; therefore these systems are combined in the analyses, for comparison with rice - Stylosanthes. No significant yield differences were observed this season. 2 Values followed by different letters (a-d) are significantly different (P<0.05). 3 Values in the ‘Mean’ column, followed by different letters (x-z) are significantly different (P<0.05). 4 This system should be evaluated in the third year following all of the three stages: 1. Rice with Stylosanthes (year 1) followed by 2. Maize with Stylosanthes (year 2), concluded by 3. Rice sown in the slashed residues of the Stylosanthes. 5 Values in the same row followed by different letters (A-C) are significantly different (P<0.05).
  • 12. Conclusions • Striga densities are reduced by S2, S3 and S4. Particulary with Vigna umbellata and Stylosanthes guianensis. • With respect to rice yields, the best system, is S2 :(Rice//Maize +cowpea+mucuna • For subsistence farmers in central Madagascar, that have to deal with soils that are both highly infested by Striga asiatica and highly vulnerable to degradation, a system of rice rotation with a maize – legume intercrop following zero-tillage, without removing crop residues, is likely to represent an attractive alternative to the current practice
  • 13. Acknowledgements CGIAR /GRISP Cirad Merci de votre aimable attention !