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Identification des causes des écarts de
rendement dans deux zones de
production de riz au Togo
presented by

Komlan A. ABLEDE
Agronomist
(Institut Togolais de Recherche Agronomique, Togo)
Outline
 Background
 Materials and methods
 Results
 Conclusion
Background
 Rice = 3rd most cultivated
cereal crop in Togo after
maize and sorghum.
 In Togo, Rice is increasingly
used in the diet of
population in both urban
and rural areas.
 The annual average of
white rice consumption per
capita is about 15 kg on the
national level of (DSID,
2010)

Fig. 1 : Production of the main cereal crops
(2008-2010)
Background
 However, rice production in Togo does not cover the needs of
the population
 Deficits are
always
compensated
by massive
importations in
spite of the
enormous
potentialities
of the country

Fig. 2 : Production vs importation of white rice (2000-2010)
Background
 In 2012, ITRA and AfricaRice survey have
been done to quantify ‘‘yield gap’’ in 2 rice
production areas in Togo.

Yield
gap

=

Potential
yield

–

Actual yield
obtained by
farmers
Background
 The objectives of this survey were:
 to identify causes of yield gap in rice
cultivation in Togo
 to quantify yield gaps and their causes.
Materials and methods
 Survey’s areas

Hub

Village/Irrigat N° of surveyed
ion scheme
field/farmer

REGION des
PLATEAUX
(rainfed
lowlands)
TOTAL

AGOME GLOZOU

10

ZIOWUNU

9

KOVIE

6

AKATA ADAME

10

KPELE BEME

10

AGADJI

REGION
MARITIME
(irrigated
lowlands)

10

-

55
Materials and methods
 Data collection

 through sampling
Materials and methods
 Data collection

 through direct observation
Materials and methods

Data collection

 through interview
Materials and methods
 Data collected
 Previous crops or length of fallow (by interview)
 Variety (by interview)
 Rice ecology (by interview and observation)
 Land preparation method (by interview)
 Crop establishment method and period (by interview)
 Irrigation / drainage system (by interview and observation)
 Crop density, rice canopy cover, weed infestation
 Water status, iron toxicity, …
 Crop management practices
 Diseases and insect pests,
 Yield data, etc.
Materials and methods
 Data have been recorded using smartphone
 Open Data Kit helped to
 Build a data collection form or survey;
 Collect the data on a smartphone and send it to a
server; and
 Aggregate the collected data on a server and extract
it in Excel format.

 Average yield data have been submited to
ANOVA under GenStat and means were
compared by Duncan test (5%)
Results


Main observations
o Good/bad practices

Maritime: irriguée

Plateaux : pluviale de bas-fond

Mauvais nivelage du sol, bonne confection des
diguettes

Mauvais nivelage du sol

Repiquage systématique (7 plts/pqt)

Semis à la volée/grande qté semences (Akata
Adamé); repiquage (Beme + Agadji)

Désherbages réguliers

Mauvaise gestion des adventices (désherbages
insuffisants)

Non application d’engrais organique
Engrais minéral mal appliqué/en qté
insuffisante/périodes d’apport inappropriées

Non application d’engrais organique
Engrais minéral mal appliqué/en qté
insuffisante/périodes d’apport inappropriées

Lutte contre certaines maladies/ravageurs

Pas de lutte contre les maladies/ravageurs

Brûlis systématique des résidus

Paillage des résidus au champ

Irrigation/drainage
Results


Main observations
o Abiotic/biotic stress

Stress

Maritime: irriguée

Plateaux : pluviale de basfond

Toxicité ferreuse

Faible fertilité des sols

Sols pauvres; salinité

Très faible fertilité des sols

Mauvaises herbes: surtout Echinocloa
sp

Mauvaises herbes

piriculariose, helminthosporiose

abiotique

Insuffisance/mauvaise répartition des
pluies

flétrissement bactérien; piriculariose,

biotique
Insectes ravageurs: foreurs, acridiens et Insectes ravageurs: acridiens, foreurs et
coléoptères phyllophages
coléoptères phyllophages
Results


Main observations
o Abiotic/biotic stress

Stress

Plateaux : rainfed lowlands

-

Insuffisance/mauvaise répartition des
pluies

Toxicité ferreuse

Faible fertilité des sols

Sols pauvres; salinité

Très faible fertilité des sols

Mauvaises herbes: surtout Echinocloa
sp

Mauvaises herbes

piriculariose, helminthosporiose

abiotic

Maritime: irrigated

flétrissement bactérien; piriculariose,

biotic
Insectes ravageurs: foreurs, acridiens et Insectes ravageurs: acridiens, foreurs et
coléoptères phyllophages
coléoptères phyllophages
Results
Rainfed lowlands

Irrigated lowlands

Village

Rep.

Average yield
(kg/ha)

Village

Rep.

Average yield
(kg/ha)

Agadji

10

2663 b

Kovié

6

3920 b

Akata
Adame

10

2815 b

Ziowunu

9

3314 c

Kpele
Beme

10

Agome
Glozou

10

5242 a

Mean

3781

a

3086 B

4159 A
Results

Rendement moyen paddy (12% Hté) vs écart par rapport au potentiel fixé à 6 t/ha
Conclusion
o Many biotic and abiotic constraints have been
recorded
o The highest yields/lowest gap were obtained in
irrigated lowlands
o Yield gaps recorded were ranged from 40 to
60% of potential yield of the most popular
variety cultivated in Togo (IR 841) which is
6t/ha.
o Yield gap survey is ongoing in the 2 hubs 2013
o Introduction of Good agricultural practices
began in 2013
Thank You
Merci

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Identification des causes des écarts de rendement dans la production de riz au Togo

  • 1. Identification des causes des écarts de rendement dans deux zones de production de riz au Togo presented by Komlan A. ABLEDE Agronomist (Institut Togolais de Recherche Agronomique, Togo)
  • 2. Outline  Background  Materials and methods  Results  Conclusion
  • 3. Background  Rice = 3rd most cultivated cereal crop in Togo after maize and sorghum.  In Togo, Rice is increasingly used in the diet of population in both urban and rural areas.  The annual average of white rice consumption per capita is about 15 kg on the national level of (DSID, 2010) Fig. 1 : Production of the main cereal crops (2008-2010)
  • 4. Background  However, rice production in Togo does not cover the needs of the population  Deficits are always compensated by massive importations in spite of the enormous potentialities of the country Fig. 2 : Production vs importation of white rice (2000-2010)
  • 5. Background  In 2012, ITRA and AfricaRice survey have been done to quantify ‘‘yield gap’’ in 2 rice production areas in Togo. Yield gap = Potential yield – Actual yield obtained by farmers
  • 6. Background  The objectives of this survey were:  to identify causes of yield gap in rice cultivation in Togo  to quantify yield gaps and their causes.
  • 7. Materials and methods  Survey’s areas Hub Village/Irrigat N° of surveyed ion scheme field/farmer REGION des PLATEAUX (rainfed lowlands) TOTAL AGOME GLOZOU 10 ZIOWUNU 9 KOVIE 6 AKATA ADAME 10 KPELE BEME 10 AGADJI REGION MARITIME (irrigated lowlands) 10 - 55
  • 8. Materials and methods  Data collection  through sampling
  • 9. Materials and methods  Data collection  through direct observation
  • 10. Materials and methods  Data collection  through interview
  • 11. Materials and methods  Data collected  Previous crops or length of fallow (by interview)  Variety (by interview)  Rice ecology (by interview and observation)  Land preparation method (by interview)  Crop establishment method and period (by interview)  Irrigation / drainage system (by interview and observation)  Crop density, rice canopy cover, weed infestation  Water status, iron toxicity, …  Crop management practices  Diseases and insect pests,  Yield data, etc.
  • 12. Materials and methods  Data have been recorded using smartphone  Open Data Kit helped to  Build a data collection form or survey;  Collect the data on a smartphone and send it to a server; and  Aggregate the collected data on a server and extract it in Excel format.  Average yield data have been submited to ANOVA under GenStat and means were compared by Duncan test (5%)
  • 13. Results  Main observations o Good/bad practices Maritime: irriguée Plateaux : pluviale de bas-fond Mauvais nivelage du sol, bonne confection des diguettes Mauvais nivelage du sol Repiquage systématique (7 plts/pqt) Semis à la volée/grande qté semences (Akata Adamé); repiquage (Beme + Agadji) Désherbages réguliers Mauvaise gestion des adventices (désherbages insuffisants) Non application d’engrais organique Engrais minéral mal appliqué/en qté insuffisante/périodes d’apport inappropriées Non application d’engrais organique Engrais minéral mal appliqué/en qté insuffisante/périodes d’apport inappropriées Lutte contre certaines maladies/ravageurs Pas de lutte contre les maladies/ravageurs Brûlis systématique des résidus Paillage des résidus au champ Irrigation/drainage
  • 14. Results  Main observations o Abiotic/biotic stress Stress Maritime: irriguée Plateaux : pluviale de basfond Toxicité ferreuse Faible fertilité des sols Sols pauvres; salinité Très faible fertilité des sols Mauvaises herbes: surtout Echinocloa sp Mauvaises herbes piriculariose, helminthosporiose abiotique Insuffisance/mauvaise répartition des pluies flétrissement bactérien; piriculariose, biotique Insectes ravageurs: foreurs, acridiens et Insectes ravageurs: acridiens, foreurs et coléoptères phyllophages coléoptères phyllophages
  • 15. Results  Main observations o Abiotic/biotic stress Stress Plateaux : rainfed lowlands - Insuffisance/mauvaise répartition des pluies Toxicité ferreuse Faible fertilité des sols Sols pauvres; salinité Très faible fertilité des sols Mauvaises herbes: surtout Echinocloa sp Mauvaises herbes piriculariose, helminthosporiose abiotic Maritime: irrigated flétrissement bactérien; piriculariose, biotic Insectes ravageurs: foreurs, acridiens et Insectes ravageurs: acridiens, foreurs et coléoptères phyllophages coléoptères phyllophages
  • 16. Results Rainfed lowlands Irrigated lowlands Village Rep. Average yield (kg/ha) Village Rep. Average yield (kg/ha) Agadji 10 2663 b Kovié 6 3920 b Akata Adame 10 2815 b Ziowunu 9 3314 c Kpele Beme 10 Agome Glozou 10 5242 a Mean 3781 a 3086 B 4159 A
  • 17. Results Rendement moyen paddy (12% Hté) vs écart par rapport au potentiel fixé à 6 t/ha
  • 18. Conclusion o Many biotic and abiotic constraints have been recorded o The highest yields/lowest gap were obtained in irrigated lowlands o Yield gaps recorded were ranged from 40 to 60% of potential yield of the most popular variety cultivated in Togo (IR 841) which is 6t/ha. o Yield gap survey is ongoing in the 2 hubs 2013 o Introduction of Good agricultural practices began in 2013