Difference between revisions of "Esarevplan2019"

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[https://www.slideshare.net/africa-rising/esa-rp19-chikowo |    '''Maize-grain legume intensification system (MW)'''] – R. Chikowo <br/>
 
[https://www.slideshare.net/africa-rising/esa-rp19-chikowo |    '''Maize-grain legume intensification system (MW)'''] – R. Chikowo <br/>
  
 +
'''''Question:''''' You’ve said that you have SI technologies that work but looking at the spider diagram presented you haven’t collected much data on some of the domains. I have seen for example on one of the technologies you said you haven’t included labour analysis. You also haven’t included/showed integration with nutrition.
 +
:'''''Response:''''' Maybe it wasn’t clear from the way I presented it. Somehow the spider diagram I presented didn’t do justice to the 5 domains. However, this was implied in one of the slides I presented. We are looking at the SI domains as the templates for validating our technologies. I accept however that this was an omission on our parts. When I talked about labour as a factor, this was in reference the CA where there are tradeoffs with labour going into ridging. However, those are high level systems research questions when you look at some of these technologies. The past 2 weeks I was at MSU in the USA training partners about application of SIAF…So we are working on this.<br/>
  
 +
'''''Question:''''' What is the space between the ridges (particularly for groundnut planted in double rows)?
 +
:'''''Response:''''' This is a function of agroecology and what are the stressors. The architecture of the variety also plays a key role. We therefore want farmers to also continue being part of evaluating the product. While we gather data on yield, farmers can also tell us what the other effects like diseases and pests are. We also know that there is a problem with single row spacing, where you kind of limit yourself too early. For ground system we are not using boundary ridges because we plant the groundnuts on the flat surface. The spacing for the Malawi context is 37.5 row spacing and planted on the flat. By doing that we are able to double the yield, just by better plant arrangement. We are planting of the flat surface and by doing that, we can double the yield on the single row planting considering the better planting arrangements.<br/>
  
 +
'''''Question:'''''  What is the optimum plant population when the crops are planted in double or single rows?
 +
:'''''Response:''''' There is the problem of the single row spacing, it has limitations particularly on sub-optimum population, plants yields responds to certain biological coefficient.<br/>
  
 +
'''''Question:'''''  Considering the land terrain where the slope is 5-7%, do you expect CA to perform well in that condition without tied ridging? You should expect run-off in that kind of terrain.
 +
:'''''Response:''''' It is not necessary to have the good physical structure to prevent erosions rather than when we apply good agronomy practices such as the plant arrangement. This increases infiltration and less erosion. In our program we have an area of about 15%-20% slope in a mountainous area in Malawi, we have ridge systems and have them planted , there are some vegetable barriers, during the heavy rainfalls the ridges systems always collapse on the other side we have crops planted on flat and are evenly distributed CA systems, they have higher infiltration that why they are barely to erosion and run-off. So, for us in this environment it is not necessary to have a physical barrier to prevent erosion, but when you do good agronomy it helps.There is a physical challenge in Malawi in terms of cropping. The ridges in Malawi were designed to suit maize - which is the main crop. So, we are not changing the 75 x 25 cm ridging doesn’t suit legumes. We therefore try to adapt in this way.<br/>
  
 +
'''''Question:''''' What lessons have you learnt from the regional interventions such as SIMLESA to enhance the technologies you have presented?
 +
:'''''Response:''''' We are not starting from scratch, but through Christian’s activities in southern Malawi we are building on certain aspects of things that had been done in SIMLESA.<br/>
 +
 +
'''''Question:'''''  Please comment on how your work is integrated with other teams for cross-site and regional integration?
 +
:'''''Response:''''' Of late we have been having more of these meetings (cross-country learning) and an outcome of those has been transfer of some of the technologies like doubled-up legume to Zambia and Tanzania. <br/>
 +
 +
'''''Response:'''''  For example, with IFRI we have been working to collect results and analysis (research out outputs) conducted from the targeted project areas. The results have been combined with the GIS, remote sensing, and some economic modeling. This has enabled us to identify the recommendation domains and quantify the ex-ante impact of doing some research activities in some other areas, we have developed a research paper for Zambia and currently, we are working on one for Malawi. So we can now identify recommendation domains and also quantify the ex-ante effects of introducing some of these technologies to larger domains and environments and farmers beyond the areas where we work. These research outputs and the technologies are not just localized in plot level neither a specific community.<br/>
 +
 +
'''''Question:'''''  How do you calculate the calories and the stability (ranks)? From what you’ve presented it looks to me like calories and maize yield are strictly related so you could just present one of them. Because this is not just calorie intake from an individual, but rather from the farm?
 +
:'''''Response:''''' Yes, they are very linked, but some slight difference based on how much legume component. This data analysis is not one year, but several years and sequenced planting. So, you tend to look at it more longer-term effects on a system. This is because what shows between one year and the next could be very variable therefore people can even conclude that this systems works for calorie production but not cropping etc. This can then later explain adoption.<br/>
 +
 +
'''''Comments:'''''
 +
*I am disappointed. I told presenters to identify the gaps missing, but I didn’t see that in your presentation.
 +
*There was a gap on the integration of the nutrition component.
  
  

Revision as of 04:56, 3 October 2019

Africa RISING ESA Project Review and Planning Meeting
10 - 11 September 2019
Dar es Salaam, Tanzania

Objectives

  • Review of main research and development achievements and challenges of the project.
  • Plan activities for 2019/20 season, with a special focus on farming systems research, collection of data on SI indicators and documentation of project outputs.

Agenda

Day 1 [10 Sept.]
08:00 Registration
08:30 Introduction of participants
09:00 Welcome & Opening remarks
  • V. Manyong – Director, IITA Eastern Africa Hub
  • G. Mkamilo – TARI Director General/Representative
09:20 Overview of agenda for the day & housekeeping
09:30 | Project implementation updates & developments – B. Mateete {15’ pres. + 15’disc.}
10:00 Break & participants group photo
10:30 Review presentations {20’ pres. + 15’ disc. for each}
13:00 Lunch
14:00 Review presentations cont’d.
15:15 Break
15:45 Bus stop process for review of 3 posters for cross-cutting {25’ each stop X 3 rotations}
17:00 25/10 crowdsourcing to reflect & learn from what is observed during each of the review presentations
17:40 End of day 1

Day 2 [11 Sept.]
08:30 Briefing back on 25/10 crowdsourcing exercise from previous day
08:45 Communications and knowledge management – J. Odhong/E. Massam
09:15 M&E needs at IITA – S. Adebayo {20’ pres. + 10’ disc.}
09:45 Draft 2019/20 plans for the cross-cutting {10’ pres. + 10’ disc.}
10:30 Break
10:50 draft cross-cutting plans cont’d
11:30 Aligning to project systems approach - B.Mateete
11:35 Break out groups for workplan development (per listed groupings)
  • ISFM - based systems (TZ)
  • Land management (TZ)
  • Maize-grain legume intensification system (MW)
  • Land management under CA (MW)
  • Animal production – based systems (TZ/MW)
Farming Systems Specialist, Gender, GIS,Econs. M&E, Comms. to integrate & rotate within these groups
13:00 Lunch
14:00 Break out groups cont’d
15:00 Presentation & feedback on draft group work plans {10’ pres. + 10’ feedback per group}
  • Working break (tbd)
16:40 Next steps
17:00 Closing remarks - M. Bekunda
17:10 End of review & planning
19:00 Closing cocktail

Day 3 [12 Sept.]
08:30 – 11:30 Project Steering Committee Meeting
{Agenda for SC meeting sent to members separately}

MEETING NOTES


Welcome & Opening remarks Victor Manyong, Africa RISING ESA PSC Chair & Director IITA Eastern Africa Hub

  • Welcomed the partners and project team as the Chair of the steering committee
  • The project has been successful
  • Partners and other stakeholders including donors are impressed with the project results and admirable team efforts.
  • Welcomed the new partners and stakeholders and encouraged them to contribute to the project with zeal.
  • There is a need to show evidence of the project achievements in phase II.
  • The team shouldn't relax even if everything is going well.
  • There is a need to start thinking about how to piston this project for what is to come next after the second phase.
  • Project partners to be prepared for the internally commissioned external review in early 2020. He explained that it was important for the team to work and prepare some important documents which will support the review team
  • Partners should prepare to showscase the evidence of achievements and some changes that has been taking place so far
  • The team needs to be conscious about the funding issues.
  • Legacy documents for the project like the handbook are vital for people who will want to later refer to the projects achievements.
  • Project partners to continue working closely with the Chief Scientist. Great collaboration will only serve to enhance project performance.
  • Colleagues from all Africa RISING program locations attending this meeting are very welcome. We hope to interact with you and gain some insights from you all as well.

Everest Makene, TARI (re-presenting TARI Director General Dr. Mkamilo)

  • The multi-disciplinary integration witness within the Africa RISING project is very commendable.
  • Having the economics, systems and gender aspects of technologies in addition to biophysical data is a feature that is unique only to Africa RISING.
  • Keep up the scientific rigor within the project even as the team also aims for other development goals.


| Project implementation updates & developments – B. Mateete
Comment:There is a challenge noted with the theory of change for phase II. It was assumed that development partners have the common vision with Africa RISING and therefore this would lead to a lot of mutually beneficial collaborations. However, this is not the case, considering the interactions with a majority of development partners so far. Some of them actually expect Africa RISING to provide them with funds for scaling.
Comment:The funding uncertainty situation affects the extent on what can be delivered, and it’s a part of challenges affecting project performance. It is important that this is noted as one of the major reasons for the inability of the team to deliver on all things that were promised in the proposals.
Question: how many chapters are still pending for the handbook to be complete?

Response:The plan was to have ten chapters, but we have 1.5 that aren't complete.

| ISFM - based systems (TZ) – J. Kihara

Question: Why did you not consider averaging the productivity domain, even though there will be some variability between the systems? The data presented (with and without the ISFM-maize/ vegetables) do not seem to have much differences?

Response: It is the first time we are advancing the ISFM tool at this level. There was assessment of the system on the shifts so far, however, due to some circumstance, it appears that there was no significant shift regardless of the environment we still have the same results. This is something that we consider as we move forward.

Question: The spider diagram presented shows that the systems has no gross margin (and some of the domain have low value), does it mean that there is no gain for farmers? If yes, then should farmers practice the technologies?

Response: It probably on the issues of scaling, for example if say in one case we get $2500 of income and the other case you are making $100 or $200, once we do the scaling then value becomes low.

Question: From the radar chart, what was the bench for the yield variable? Because even with-ISFM, the values that were presented were lower than the benchmark?

Response: We consider the maximum that is observed and use the maximum as our benchmark. For the productivity domain, we considered the maximum productivity that was observed across the population in the dataset, that may be far from the mean, since there will be huge difference from the mean, then the value for the ISFM become low.
Response: It is the question of the scaling, and method that we used, we considered average value that we are averaging and then we identify the maximum from across the average group. The maximum is not the average rather than a value that is achieved by one person across the population and is considered as the achievable and can be a model.

Question: With the ISFM, data on yield reflects low value, what else is missing at least to push the yield to some reasonable level?

Response: As a team we are working to brainstorm on the kind of intervention(s) and act to reach the reasonable yield level.

Question: The difference between with and without the ISFM, nutrition outcomes will be three to four times better or higher than the origin, is that really the case, or something that shall be expected?

Comments:

  • The project team should consider removing some noise (for radar diagram) and bring the meaningful and clear radar graph for example most of the variables has a lot of external factors that cannot be controlled, the team should be careful with variables like stunting , wasting and underweight because it create much noise, if are removed then there would be more meaningful radar diagram.
  • The outcomes from the presentation (on with and without the ISFM) should focus on the direct impact of the interventions.
  • The approach used as outcome measure for the nutrition needs to be changed as opposed to standard underweight wastage, the team should consider the diet quality
  • The presentation appears to have data quality issues. For-example there was a huge difference between the benchmark data without and with ISFM data as presented in radar chart, the team should have identified what needs to be addressed and do it better.
  • The expectations from audience would be to see there are more crossovers between the tradeoffs because of benefits and tradeoffs in the farm and cropping systems, the team should have considered overall the factors holistically. For example, if there were comparisons between the two systems with the fertilizers and without the fertilizer, yield will have increased on the fertilizer systems, on the other hand there should be effect on the gross margin, this effects on the cost of buying the fertilizers will increase, but such data were not presented in the radar graph.
  • The team should have regard combining the two variables (runoff avoided, and soil loss avoided) for the environmental domain as presented in technology benefits with-without ISFM. The two variables are both addressing soil water conservation.

| Maize-grain legume intensification system (MW) – R. Chikowo

Question: You’ve said that you have SI technologies that work but looking at the spider diagram presented you haven’t collected much data on some of the domains. I have seen for example on one of the technologies you said you haven’t included labour analysis. You also haven’t included/showed integration with nutrition.

Response: Maybe it wasn’t clear from the way I presented it. Somehow the spider diagram I presented didn’t do justice to the 5 domains. However, this was implied in one of the slides I presented. We are looking at the SI domains as the templates for validating our technologies. I accept however that this was an omission on our parts. When I talked about labour as a factor, this was in reference the CA where there are tradeoffs with labour going into ridging. However, those are high level systems research questions when you look at some of these technologies. The past 2 weeks I was at MSU in the USA training partners about application of SIAF…So we are working on this.

Question: What is the space between the ridges (particularly for groundnut planted in double rows)?

Response: This is a function of agroecology and what are the stressors. The architecture of the variety also plays a key role. We therefore want farmers to also continue being part of evaluating the product. While we gather data on yield, farmers can also tell us what the other effects like diseases and pests are. We also know that there is a problem with single row spacing, where you kind of limit yourself too early. For ground system we are not using boundary ridges because we plant the groundnuts on the flat surface. The spacing for the Malawi context is 37.5 row spacing and planted on the flat. By doing that we are able to double the yield, just by better plant arrangement. We are planting of the flat surface and by doing that, we can double the yield on the single row planting considering the better planting arrangements.

Question: What is the optimum plant population when the crops are planted in double or single rows?

Response: There is the problem of the single row spacing, it has limitations particularly on sub-optimum population, plants yields responds to certain biological coefficient.

Question: Considering the land terrain where the slope is 5-7%, do you expect CA to perform well in that condition without tied ridging? You should expect run-off in that kind of terrain.

Response: It is not necessary to have the good physical structure to prevent erosions rather than when we apply good agronomy practices such as the plant arrangement. This increases infiltration and less erosion. In our program we have an area of about 15%-20% slope in a mountainous area in Malawi, we have ridge systems and have them planted , there are some vegetable barriers, during the heavy rainfalls the ridges systems always collapse on the other side we have crops planted on flat and are evenly distributed CA systems, they have higher infiltration that why they are barely to erosion and run-off. So, for us in this environment it is not necessary to have a physical barrier to prevent erosion, but when you do good agronomy it helps.There is a physical challenge in Malawi in terms of cropping. The ridges in Malawi were designed to suit maize - which is the main crop. So, we are not changing the 75 x 25 cm ridging doesn’t suit legumes. We therefore try to adapt in this way.

Question: What lessons have you learnt from the regional interventions such as SIMLESA to enhance the technologies you have presented?

Response: We are not starting from scratch, but through Christian’s activities in southern Malawi we are building on certain aspects of things that had been done in SIMLESA.

Question: Please comment on how your work is integrated with other teams for cross-site and regional integration?

Response: Of late we have been having more of these meetings (cross-country learning) and an outcome of those has been transfer of some of the technologies like doubled-up legume to Zambia and Tanzania.

Response: For example, with IFRI we have been working to collect results and analysis (research out outputs) conducted from the targeted project areas. The results have been combined with the GIS, remote sensing, and some economic modeling. This has enabled us to identify the recommendation domains and quantify the ex-ante impact of doing some research activities in some other areas, we have developed a research paper for Zambia and currently, we are working on one for Malawi. So we can now identify recommendation domains and also quantify the ex-ante effects of introducing some of these technologies to larger domains and environments and farmers beyond the areas where we work. These research outputs and the technologies are not just localized in plot level neither a specific community.

Question: How do you calculate the calories and the stability (ranks)? From what you’ve presented it looks to me like calories and maize yield are strictly related so you could just present one of them. Because this is not just calorie intake from an individual, but rather from the farm?

Response: Yes, they are very linked, but some slight difference based on how much legume component. This data analysis is not one year, but several years and sequenced planting. So, you tend to look at it more longer-term effects on a system. This is because what shows between one year and the next could be very variable therefore people can even conclude that this systems works for calorie production but not cropping etc. This can then later explain adoption.

Comments:

  • I am disappointed. I told presenters to identify the gaps missing, but I didn’t see that in your presentation.
  • There was a gap on the integration of the nutrition component.


| Animal production – based systems (TZ) – B. Lukuyu





| Farm level systems case studies (TZ) – L. Claessens




| Farm level systems case studies (MW) – M. Mutenje




| M&E Changes and achievements – C. Azzarri/B. Haile/A. Sambala



| Quantifying trends of rainfall and temperature extremes over Central Tanzania to guide targeting of climate smart technologies - F. Muthoni




| Spatial assessment of land degradation in semi-arid zone of central Tanzania - F. Muthoni




| What fits where? FarmMATCH: Matching Agricultural Technologies to Context and Household - J. Groot



| Digital transformation of agriculture: A game changer for sub-Saharan Africa - H. Sseguya