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Developing tools 
for more productive, ecologically robust 
cropping systems 
RTB Annual Review and Planning Meeting 2014 
29th Sept to 3rd Oct, Entebbe, Uganda
Theme 5 product lines 
- Ecological and physiological understanding 
of RTB crops and cropping systems: 
- Increasing productivity in RTB cropping 
systems through nutrient/water/light 
management practices: 
- Integrated decision and management tools 
for RTB crops developed and validated:
Topics in theme 5 presentation 
Topics in theme 5 presentation: 
-Yield gaps 
- Cropping system proposal for West Africa 
- Yam cropping system 
- Crop models 
- Collaboration with other CRPs 
- looking forward
Yield Gap Analysis 
GAP
Community of practices on 
potato yield gap analysis in SSA: 
3 methods: 
1) Model simulations 
2) Field experiments and yield contests 
3) Historical maximum farmer yields 
Workshops Regional Field 
Experiments 
ICT(e-mail exchange, 
Skype meetings, 
phone calls, SMS, 
etc..)
Potential, experimental farmer yield 
Tigoni 
Kabuku 
Kabete1 
Kabete2 
Site 
70 
60 
50 
40 
30 
20 
10 
Rwegura 
Fongo-Tongo 
Mulungu 
Adet1 
Adet2 
Antsirabe 
Sussundenga 
Kuru 
Kalengyere 
Suyian 
Marigat 
Bembeke 
Tuber Yield (t/ha) 
0 
Yield Simulated on Potential conditions 
Yield Observed in experiment 
Average yield 
70 
60 
50 
40 
30 
20 
10 
0 
Unica Granola Yungay Canchan Perricholi Perricholi Capiro Andina Ccompis Waycha 
Rendimiento (t/ha) 
R. Potencial R. Experimental R. lim. agua
Maximum yield: 
minor banana cultivars 
Banana expert survey: 161 responses by minor cultivar group. 
Survey conducted of experts self identified as knowledgeable about minor cultivars 
with 21 responses. In addition, literature survey 
Maximum reported bunch weight per cultivar group. 
Largest bunch weight reported 
Cultivar group Less common Musa 
cultivar - expert survey 
N Literature cited in this 
review 
N* 
Gros Michel 
AAA 
40kg ‘Gros Michel’ 5 75kg ‘Gros Michel’ 6 
Other AAAs 65kg ‘Lakatan’ 3 29,6kg ‘Viemama’ 30 
ABBs 80kg ‘Sohokunture’ 6 22kg ‘Saba’ 51 
Dessert AABs 40kg ‘BRS Platina’ 4 28,7kg ‘Thap Maeo’ 31 
Diploids No respondents 0 20kg ‘Pisang Berangan’ 29
Yield gap analysis plantain WA
Yield gap continued: 
Limitations
Concept note: intensification of cropping systems 
with plantain in West and Central Africa
Country/zone system Agroclimate – annual rainfall Distance to 
market 
intensive Mixed 
food 
crops 
Mixed 
perennial and 
food crops 
Dry 
seasonal 
900-1500 
Short dry 
season 1500- 
2500 
Wet 
>2500 
close far 
Guinea - forest X X X 
Cote d’Ivoire X X X 
Cote d’Ivoire X X X 
Ghana X X X 
Ghana X X X 
Nigeria X X X 
Nigeria X X X 
Cameroon – 
X X 
volcanic soils 
Cameroon/Gabon X X X 
Congo - Brazza X X X 
Congo – bas 
X X X 
Congo 
Congo - 
Kinsangani 
X X X
Mixed cropping – yield gaps 
Characterizing cropping systems 
And yield gaps – methods/studies 
Intensifying cropping systems 
– methods and tools/protoypes
Crop models: 
Potato – CIP 
Sweet potato 
Free download: http://inrm.cip.cgiar.org/home/downmod.htm 
Banana – CIRAD, Bioversity, IITA
Yam based cropping systems 
450 
400 
350 
300 
250 
200 
150 
100 
50 
0 
Nil Fertilizer 
0 10003 13333 14815 16667 19048 22222 26667 33333 
Maize grain yield (Mg ha -1DM) 
Yam plant density ha-1 
Maize grain yield = -0.3277 yam density + 3.9 
r² = 0.83 
4.3 
4.1 
3.9 
3.7 
3.5 
3.3 
3.1 
2.9 
2.7 
2.5 
0 0.5 1 1.5 2 2.5 3 3.5 
Maize grain yield (Mg ha -1DM) 
Yam plant density m-2 
*
Collaboration with other CRPs 
Joint workshop with Humidtropics 
Collaborative research with CRP Maize in Africa 
Potential for collaboration with CRP grain legumes
Looking forward 
Yield gaps – 
- Monocrops 
- Mixed cropping: total field output versus component crops 
Toolbox for cropping system intensification – decision criteria: 
- relative resource use, soil health 
- multiple use – leaves and roots 
- collaboration with other commodity CRPs 
- effects on pests and diseases 
Climate change 
- CCAFS minimal commodity focus 
Collaborative models with systems CRP: 
Gender and generational roles in cropping systems intensification
Thank you

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Developing tools for more productive, ecologically robust cropping systems

  • 1. Developing tools for more productive, ecologically robust cropping systems RTB Annual Review and Planning Meeting 2014 29th Sept to 3rd Oct, Entebbe, Uganda
  • 2. Theme 5 product lines - Ecological and physiological understanding of RTB crops and cropping systems: - Increasing productivity in RTB cropping systems through nutrient/water/light management practices: - Integrated decision and management tools for RTB crops developed and validated:
  • 3. Topics in theme 5 presentation Topics in theme 5 presentation: -Yield gaps - Cropping system proposal for West Africa - Yam cropping system - Crop models - Collaboration with other CRPs - looking forward
  • 5. Community of practices on potato yield gap analysis in SSA: 3 methods: 1) Model simulations 2) Field experiments and yield contests 3) Historical maximum farmer yields Workshops Regional Field Experiments ICT(e-mail exchange, Skype meetings, phone calls, SMS, etc..)
  • 6. Potential, experimental farmer yield Tigoni Kabuku Kabete1 Kabete2 Site 70 60 50 40 30 20 10 Rwegura Fongo-Tongo Mulungu Adet1 Adet2 Antsirabe Sussundenga Kuru Kalengyere Suyian Marigat Bembeke Tuber Yield (t/ha) 0 Yield Simulated on Potential conditions Yield Observed in experiment Average yield 70 60 50 40 30 20 10 0 Unica Granola Yungay Canchan Perricholi Perricholi Capiro Andina Ccompis Waycha Rendimiento (t/ha) R. Potencial R. Experimental R. lim. agua
  • 7. Maximum yield: minor banana cultivars Banana expert survey: 161 responses by minor cultivar group. Survey conducted of experts self identified as knowledgeable about minor cultivars with 21 responses. In addition, literature survey Maximum reported bunch weight per cultivar group. Largest bunch weight reported Cultivar group Less common Musa cultivar - expert survey N Literature cited in this review N* Gros Michel AAA 40kg ‘Gros Michel’ 5 75kg ‘Gros Michel’ 6 Other AAAs 65kg ‘Lakatan’ 3 29,6kg ‘Viemama’ 30 ABBs 80kg ‘Sohokunture’ 6 22kg ‘Saba’ 51 Dessert AABs 40kg ‘BRS Platina’ 4 28,7kg ‘Thap Maeo’ 31 Diploids No respondents 0 20kg ‘Pisang Berangan’ 29
  • 8. Yield gap analysis plantain WA
  • 9. Yield gap continued: Limitations
  • 10. Concept note: intensification of cropping systems with plantain in West and Central Africa
  • 11. Country/zone system Agroclimate – annual rainfall Distance to market intensive Mixed food crops Mixed perennial and food crops Dry seasonal 900-1500 Short dry season 1500- 2500 Wet >2500 close far Guinea - forest X X X Cote d’Ivoire X X X Cote d’Ivoire X X X Ghana X X X Ghana X X X Nigeria X X X Nigeria X X X Cameroon – X X volcanic soils Cameroon/Gabon X X X Congo - Brazza X X X Congo – bas X X X Congo Congo - Kinsangani X X X
  • 12. Mixed cropping – yield gaps Characterizing cropping systems And yield gaps – methods/studies Intensifying cropping systems – methods and tools/protoypes
  • 13. Crop models: Potato – CIP Sweet potato Free download: http://inrm.cip.cgiar.org/home/downmod.htm Banana – CIRAD, Bioversity, IITA
  • 14. Yam based cropping systems 450 400 350 300 250 200 150 100 50 0 Nil Fertilizer 0 10003 13333 14815 16667 19048 22222 26667 33333 Maize grain yield (Mg ha -1DM) Yam plant density ha-1 Maize grain yield = -0.3277 yam density + 3.9 r² = 0.83 4.3 4.1 3.9 3.7 3.5 3.3 3.1 2.9 2.7 2.5 0 0.5 1 1.5 2 2.5 3 3.5 Maize grain yield (Mg ha -1DM) Yam plant density m-2 *
  • 15. Collaboration with other CRPs Joint workshop with Humidtropics Collaborative research with CRP Maize in Africa Potential for collaboration with CRP grain legumes
  • 16. Looking forward Yield gaps – - Monocrops - Mixed cropping: total field output versus component crops Toolbox for cropping system intensification – decision criteria: - relative resource use, soil health - multiple use – leaves and roots - collaboration with other commodity CRPs - effects on pests and diseases Climate change - CCAFS minimal commodity focus Collaborative models with systems CRP: Gender and generational roles in cropping systems intensification