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=='''Africa RISING ESA Project Partners Meeting'''<br />''' 3 June 2021'''<br />'''Virtual via Ms TEAMS'''==
+
=='''Africa RISING ESA Project Partners Meeting'''<br />''' 5 August 2021'''<br />'''Virtual via Ms TEAMS'''==
 
'''Participants'''
 
'''Participants'''
 
# A. Kimaro, ICRAF
 
# A. Kimaro, ICRAF
 
# B. Zemadim, ICRISAT
 
# B. Zemadim, ICRISAT
# C. Azzarri, IFPRI
 
 
# C. Thierfelder, CIMMYT
 
# C. Thierfelder, CIMMYT
 
# D. Mgalla, IITA
 
# D. Mgalla, IITA
Line 10: Line 9:
 
# F. Muthoni, IITA
 
# F. Muthoni, IITA
 
# G. Fischer, IITA
 
# G. Fischer, IITA
# I. Dominick, WorldVeg
 
# I. Hoeschle-Zeledon, IITA
 
# J. Groot, WUR
 
 
# J. Kihara, Bioversity-CIAT
 
# J. Kihara, Bioversity-CIAT
 
# J. Manda, IITA
 
# J. Manda, IITA
Line 21: Line 17:
 
# P. Okori, ICRISAT
 
# P. Okori, ICRISAT
 
# R. Chikowo, MSU
 
# R. Chikowo, MSU
 +
# E. Temu, ICRAF
 +
# M. Mulundu, ZARI
 +
# M. Shitindi, SUA
 +
# H. Beliyou, IFPRI
 +
# E. Temu,  ICRAF
 +
# j. Mwololo, ICRISAT-ZW
 +
# Y. Muzila,  SUA
 +
# W. Mhango
 +
# F. Michael, IITA
 +
# E. Mwambo,  IITA
 +
# G. Wanjiku,  ICRISAT-MW
 +
 +
 +
 +
  
  
 
'''Agenda'''
 
'''Agenda'''
* Ex-ante impact assessment of Africa RISING seed and fertilizer technologies in Tanzania with trade-off analysis model for multi-dimensional impact assessment- Dr. Lieven Claessens (IITA)
+
* Productivity and Resource Use efficiency of Agroforestry Systems in Semiarid Tanzania- Dr. Antony Kimaro (ICRAF)
* Understanding the potential contributions of ISFM to various sustainable intensification impact domains - Dr. Job Kihara (CIAT)
+
* Sustainable Intensification of Maize Cereal System using the Rip Tillage Technique in Semi-arid Areas of Kiteto District, Manyara Region in Tanzania - Elirehema Swai (TARI-Hombolo)
  
 
----
 
----
'''[[JR_3June_ESAPPT.pptx| Understanding the potential contributions of ISFM to various sustainable intensification impact domains]] - Dr. Job Kihara (CIAT)'''
+
'''[[File:ESA_ppt_Antony_Kimaro.pptx| Productivity and Resource Use efficiency of Agroforestry Systems in Semiarid Tanzania]] - Dr. Antony Kimaro (ICRAF)'''
 
----
 
----
*Download presentation from link in the title above.
+
*Download the presentation from the link in the title above.
  
 
<b/>'''Discussion'''<b/>
 
<b/>'''Discussion'''<b/>
*Irmgard. How can the difference in adoption of ISFM components between farmers in Babati and K/K be explained? Which are the components that the low adopters do adopt?
+
*Christain. Swai, How is the size of the shelter affecting the overall drought screening?
:*Job. Well, Irmgard, for the difference in adoption of the ISFM components, it is something that we have considered by looking at various components, and how the intensity of the ISFM influence multiple indicators. For example, in Babati, we presented those farmers with one component and their percentage ( those who are practicing ISFM and the practiced technology). In the writeup, we specified rates in portion, e.g., 65% of one ISFM group are all intercropping. We have those types of tendencies explained in the text and the presentation of the figures and the ISFM components.
+
:*Antony. The shelter size we used is three by three meters, and the height is 2.5meters. These were arranged in a sort of way total plot was fifteen by 15 meters, each was dived into the subplot of eight by eight meters on the left. It was also proportioned between the center of the four by 4 meters plot.
::*Irmgard. Okay, may you explain why are Babati farmers adopting more components than Kongwa and Kiteto farmers?
+
:*Christian. Thanks, Antony. What are the possible effects on the tree, and how it is being reflected? 
:::*Job. Well, because Babati is a high-potential environment, they already have adopted improved varieties. Therefore, penetration of improved varieties is very high in Babati, and many of the farmers in the area, at least 75% > of the farmers practice intercropping. For Kongwa and Kiteto, the situation can be fascinated by the nature of the environment and may not be high penetration of improved varieties. It can probabilistically explain the different uses of ISFM components.
+
*Antony. The shelters effect was more compared with the main screen and maize crop underneath. There are not many cropping seasons by drought in terms of yield productivity, but there was comparative control in each of the shelters where there are no trees. The presence of trees will be checked by the monoculture with and without trees to understand if it would cause positive or negative effects on maize alone treatments and with other treatments.
*Irmgard. So, from the farmer, the need for these ISFM components would be high in Kongwa Kiteteo than Babati?.
+
:*Christian. Okay, may you please elaborate on how long and time when you put the shelter?  
:*Job. I think so. But for the scaling perceptive, there might be less information going in Kongwa Kiteto relatively to Babati.  In Babati, we would expect to see farmers practicing five components, but, in this case, we have farmers with only two or three components. I still feel there should be a push to make farmers go to four to five. But Yes, Kongwa Kiteto will be essential to make interventions on including these practices.
+
*Antony. We introduced before the tackling, and overall, at 50% tackling, and this was the onset of active group period on each of the seasons. In terms of precisely the month, it was mid-March, about six to eight weeks.  
 +
:*Mateete.Drought performing better than ambient, needs some more explanation?
 +
*Antony.Thanks, Mateete.  In 2020, it was the year of an evenly distributed large amount of rainfall from mid of October towards the end of April/mid-May. The drought created favorable conditions for the varieties adapted to semi-arid areas compared to the ambient. Therefore, I would associate it with better performance in the drought treatments in 2020 compared to the trying year of 2019.  
  
*Job. I was shocked to find 0% components from 22% of farmers, any comments from someone in Kongwa Kiteto?
+
:*Fredy.Comment. Thank you, Antony, the increased productivity is excellent. It would be a good study if carried out for more than two years and assess yield stability in the context of resilience.
:*Antony. To add up, the low adoption in Kongwa Kiteto can be because the ISFM components that go viral within the short period in this area is the water aspect, and depending on the technology, for example, the tied ridges has been a need in this area, for other technology like Chororo; the planting phasing goes very fast. Therefore, the easier of implementing the technology that captures water, farmers are quickly picking up. It can be one of the ISFM components that can bring up many things, but to what extent has that been captured and under which technology?  is something we can look at the data set that Job has.
+
:*Jumbo.Comment. The design of experiments in terms of center size is something you need to pay attention to because of how the study was designed. It might be challenging to explain if the control of other factors has not been well accounted for. So, just two seasons may not be enough. That is why it seems there are speculations on performance. Other external factors should be accounted for. We need another season to see the consistency of the results.  
*Shitindi. In addition to Dr. Job and Antony, the other factors can be access to the market. Babati has more access to the market of the ISFM technologies, primarily for the Legumes (pigeon pea) than farmers in Kongwa Kiteto. Since this has something to do with the financial muscles, and there are investments, the rate of the reinvestments with the ISFM has something to do with the adoption rate.
 
  
*Irmgard. Thanks, Shitindi, but do you mean input or output market?
 
:*Shitindi. I mean output market, Irmgard.
 
  
*Swai. To contribute to Shitindi, Antony & Job’s comments on the issue of adaption, adoption is complicated because some of the ISFM technologies, like tied ridges, require massive labor. Hence the rate of adaptation cannot be similar when we compare the nature of labor requirements. Technologies such as mechanization are labor-saving. Currently, there is another survey going on where Kongwa is a part of it. The Kongwa Kiteto team may note that the current level of intensification, maize and pigeon pea component is becoming common like Babati. If we refer to the adoption level of ISFM using pigeon pea in Kongwa Kiteto, we can note the variations. The soil water technology is labor-intensive on one side, and mechanization technology is imperative for many farmers to pick up the technology.
+
'''[[File:ESA_ppt_Elirehema_Swai.pptx|Sustainable Intensification of Maize Cereal System using the Rip Tillage Technique in Semi-arid Areas of Kiteto District, Manyara Region in Tanzania
*Carlo. Job, how can the differences in yields computed among AR farmers be attributed to the AR project and not other intervening/confounding factors?
+
]] - Mr. Elirehema Swai (TARI-Hombolo)'''
*Job. It is unclear if it applies in this case but will use in the survey we are conducting. We have tried to categorize our intervention farmers and farmers whom we did not have an intervention with (the control farmers), and we have records of the list of all our farmers and use the data to set the proportion of the farmers that we will interact with and farmers how are not part of us from the project site to show the difference between those who have interacted with the AR project vs. those who have not.  On the other hand, we want to access the initial farmers with the project and identify farmers who had been/ not been considered to see if there will be attributions that can be done. We are doing this with Julius Manda
 
*Shitindi. Job, from the presentation, most of the domains are presented by the number of the ISFM components adopted by the farmers, but labor requirements also increase with the number of components adopted. We may establish the label of combinations of these components that people can see the most rewarding in terms of labor investment?
 
*Job. I will consider that as something that we can interact with the data set and see how we can enrich our publication with what you have contributed to us.
 
 
 
 
 
'''[[:LV_3June_ESAPPT.pptx |Ex-ante impact assessment of Africa RISING seed and fertilizer technologies in Tanzania with trade-off analysis model for mutli-dimensional impact assesment ]] - Dr. Lieven Claesse (IITA)'''
 
 
----
 
----
 
*Download presentation from link in the title above.
 
*Download presentation from link in the title above.
  
 
<b/>'''Discussion'''<b/>
 
<b/>'''Discussion'''<b/>
*Carlo. Lieven, why did you conduct the study using the LSMS data that expand across full of Tanzania and not TARBES data? while  the information is essentially the same, beside, data were collected among farmers in AR districts with and w/out AR technologies!
+
*Shitindi. Swai, was there control fertilizer use under baby trials?
 +
 
 +
*Swai.Yes, Shitindi. On the calories and protein production attribute to the water shortage. Both mother and baby trials have the same treatments at the same level. And all received the same amount of fertilizers at planting and before flowering.
  
:*Lieven. In general, it is ambitious, and it’s the assumption that we had to take. Since the big goal is upscaling, I thought it was a nice try to bring this to the national scaling with all the uncertain things, and there was an assumption we had to make. But I would be happy to exercise with the TARBES data. However, TARBES data is still limited to those two study areas (Babati & Kongwa Kiteto) right?. .
+
:*Shitindi. Thanks, Swai, how about the issue of moistures, the difference in crop performance substitute to terms of texture between mother plots with clay soils, and most baby plots with another type of soil. Under normal conditions, I expected the clay soil to have higher moisture retention than the other type of soil. If the two kinds of soil receive the same amount of rain, the expectation is that the clay soil would retain more moisture for crop use.
  
*Mateete. Yes, Lieven. It is essential for AR project before you go wide nationally. So, if the TARBES data are used to do the second analysis, I think it would be interesting for the project. Because scaling out even within Babati, we work in fewer areas than the full descriptions or even in Kongwa Kiteto. So, the TARBES data would work out okay.
+
*Swai. We conducted the study across the season; it was impossible to obtain the data from a single event. During the experiment time, there was not enough soil moisture to allow the wetting of the soil under the clay. Where there is inadequate wetting, the impact of soil water impact would be difficult. Also, there was no water held between the replanting during the season, which would make the difference. But also, the experience from the semi-arid shows when there is limited soil moisture supply in the very wet season, farmers could get something under a semi clay soil compare to typical clay soil.  
:*Carlo. Lieven, why is this study called ex-ante impact assessment? It looks like scenario modeling to me.
 
  
*Lieven. I don’t know the entail difference Carlo, but we did scenarios regarding the realist yields. For the impact assessment, we refer to the actual adaption rates or predictive adoption rates.
+
:*Mulundu. In the two years that the study was undertaken, was the normal rainfall attended for the study site? If not, are there are possibilities of having extra rainfall in the season, for example, if the study site can attend something in a range of at least 600-700 mm, has it been a thought that probably if the rainfall were higher, in that case, the performance of the two treatments would have different performance?
  
*Comment. Mateete. There is a need to put all the presentations together and stragetical plan on how we could produce a project legacy docuement from the PPT slides presented. It can be of interest, so there is a need to look at the presentations again and discuss further.
+
*Swai. Thanks, Mulundu, We carried the study in a semi-arid area. Usually, there is an average rainfall of around 550-600 mm of rain per season. Because of the research and project time limit, it is difficult to conduct another study. Another study will require three seasons consequently to quantify the result.  
 +
:*Mateete.Comment. The first season which is entirely wet, is a good blessing in the study and should show that the technologies do not work all the time and everywhere, this should be stressed in this reporting.
 +
:*Regis. Swai, during the introduction, you talked about the hardpan due to livestock tractors, etc. to reinforce the ideas under that aspect, it would be nice to show the existence of the hardpans through empirical data from the landscape, which would strengthen your arguments by reinforcing the paper with such kind of data.
 +
*Swai. Thanks, Regis. It is unfortunate. We did not conduct such type of study.
 +
:*Regis. Noted, Swai. Also, there are concerns that there are limiting issues when it comes to infiltration, and sometimes it may lead to rainfall intensity above a certain threshold, and you turn to have a runoff. So probably we need to get data on how much moisture was infiltrated and how much was run off under certain rainfall conditions. I hope that kind of data is available. 
 +
*Swai. Well, Regis, my study was confined to cumulative infiltration as such. But, I will look at it if we can go further working on your idea. We had no automatic rain weather station that could follow in terms of rainfall intensity. Besides, we had only the standard ranges to measure the rainfall amount and other paraments.  The rainfall intensity was not difficult to measure.
 +
:*Regis.Okay, How about the runoff? It would be essential to show because it is a proxy for infiltration if you could measure runoff. Do you have ideas about that, or was your study based on soil moisture only?
 +
*Swai. In phase one of the Africa RISING, another study was undertaken in the Kongwa Kiteto district and involved many parameters (runoff, soil loss, soil water content). Also, there was rip tillage using the oxen-drawn implement. In that study, we measured the runoff, and the impact was very evident. The rip tillage compares to conventional farmer tillage has less runoff. Tied ridge had low runoff, and traditional tillage of farmers had high runoff.

Latest revision as of 10:56, 20 August 2021

Africa RISING ESA Project Partners Meeting
5 August 2021
Virtual via Ms TEAMS
[edit | edit source]

Participants

  1. A. Kimaro, ICRAF
  2. B. Zemadim, ICRISAT
  3. C. Thierfelder, CIMMYT
  4. D. Mgalla, IITA
  5. E. Swai, TARI-Hombolo
  6. F. Kizito, IITA
  7. F. Muthoni, IITA
  8. G. Fischer, IITA
  9. J. Kihara, Bioversity-CIAT
  10. J. Manda, IITA
  11. J. Odhong, IITA
  12. L. Claessens, IITA
  13. M. Bekunda, IITA
  14. M. Mutenje, IITA (consultant)
  15. P. Okori, ICRISAT
  16. R. Chikowo, MSU
  17. E. Temu, ICRAF
  18. M. Mulundu, ZARI
  19. M. Shitindi, SUA
  20. H. Beliyou, IFPRI
  21. E. Temu, ICRAF
  22. j. Mwololo, ICRISAT-ZW
  23. Y. Muzila, SUA
  24. W. Mhango
  25. F. Michael, IITA
  26. E. Mwambo, IITA
  27. G. Wanjiku, ICRISAT-MW




Agenda

  • Productivity and Resource Use efficiency of Agroforestry Systems in Semiarid Tanzania- Dr. Antony Kimaro (ICRAF)
  • Sustainable Intensification of Maize Cereal System using the Rip Tillage Technique in Semi-arid Areas of Kiteto District, Manyara Region in Tanzania - Elirehema Swai (TARI-Hombolo)

File:ESA ppt Antony Kimaro.pptx - Dr. Antony Kimaro (ICRAF)


  • Download the presentation from the link in the title above.

Discussion

  • Christain. Swai, How is the size of the shelter affecting the overall drought screening?
  • Antony. The shelter size we used is three by three meters, and the height is 2.5meters. These were arranged in a sort of way total plot was fifteen by 15 meters, each was dived into the subplot of eight by eight meters on the left. It was also proportioned between the center of the four by 4 meters plot.
  • Christian. Thanks, Antony. What are the possible effects on the tree, and how it is being reflected?
  • Antony. The shelters effect was more compared with the main screen and maize crop underneath. There are not many cropping seasons by drought in terms of yield productivity, but there was comparative control in each of the shelters where there are no trees. The presence of trees will be checked by the monoculture with and without trees to understand if it would cause positive or negative effects on maize alone treatments and with other treatments.
  • Christian. Okay, may you please elaborate on how long and time when you put the shelter?
  • Antony. We introduced before the tackling, and overall, at 50% tackling, and this was the onset of active group period on each of the seasons. In terms of precisely the month, it was mid-March, about six to eight weeks.
  • Mateete.Drought performing better than ambient, needs some more explanation?
  • Antony.Thanks, Mateete. In 2020, it was the year of an evenly distributed large amount of rainfall from mid of October towards the end of April/mid-May. The drought created favorable conditions for the varieties adapted to semi-arid areas compared to the ambient. Therefore, I would associate it with better performance in the drought treatments in 2020 compared to the trying year of 2019.
  • Fredy.Comment. Thank you, Antony, the increased productivity is excellent. It would be a good study if carried out for more than two years and assess yield stability in the context of resilience.
  • Jumbo.Comment. The design of experiments in terms of center size is something you need to pay attention to because of how the study was designed. It might be challenging to explain if the control of other factors has not been well accounted for. So, just two seasons may not be enough. That is why it seems there are speculations on performance. Other external factors should be accounted for. We need another season to see the consistency of the results.


File:ESA ppt Elirehema Swai.pptx - Mr. Elirehema Swai (TARI-Hombolo)


  • Download presentation from link in the title above.

Discussion

  • Shitindi. Swai, was there control fertilizer use under baby trials?
  • Swai.Yes, Shitindi. On the calories and protein production attribute to the water shortage. Both mother and baby trials have the same treatments at the same level. And all received the same amount of fertilizers at planting and before flowering.
  • Shitindi. Thanks, Swai, how about the issue of moistures, the difference in crop performance substitute to terms of texture between mother plots with clay soils, and most baby plots with another type of soil. Under normal conditions, I expected the clay soil to have higher moisture retention than the other type of soil. If the two kinds of soil receive the same amount of rain, the expectation is that the clay soil would retain more moisture for crop use.
  • Swai. We conducted the study across the season; it was impossible to obtain the data from a single event. During the experiment time, there was not enough soil moisture to allow the wetting of the soil under the clay. Where there is inadequate wetting, the impact of soil water impact would be difficult. Also, there was no water held between the replanting during the season, which would make the difference. But also, the experience from the semi-arid shows when there is limited soil moisture supply in the very wet season, farmers could get something under a semi clay soil compare to typical clay soil.
  • Mulundu. In the two years that the study was undertaken, was the normal rainfall attended for the study site? If not, are there are possibilities of having extra rainfall in the season, for example, if the study site can attend something in a range of at least 600-700 mm, has it been a thought that probably if the rainfall were higher, in that case, the performance of the two treatments would have different performance?
  • Swai. Thanks, Mulundu, We carried the study in a semi-arid area. Usually, there is an average rainfall of around 550-600 mm of rain per season. Because of the research and project time limit, it is difficult to conduct another study. Another study will require three seasons consequently to quantify the result.
  • Mateete.Comment. The first season which is entirely wet, is a good blessing in the study and should show that the technologies do not work all the time and everywhere, this should be stressed in this reporting.
  • Regis. Swai, during the introduction, you talked about the hardpan due to livestock tractors, etc. to reinforce the ideas under that aspect, it would be nice to show the existence of the hardpans through empirical data from the landscape, which would strengthen your arguments by reinforcing the paper with such kind of data.
  • Swai. Thanks, Regis. It is unfortunate. We did not conduct such type of study.
  • Regis. Noted, Swai. Also, there are concerns that there are limiting issues when it comes to infiltration, and sometimes it may lead to rainfall intensity above a certain threshold, and you turn to have a runoff. So probably we need to get data on how much moisture was infiltrated and how much was run off under certain rainfall conditions. I hope that kind of data is available.
  • Swai. Well, Regis, my study was confined to cumulative infiltration as such. But, I will look at it if we can go further working on your idea. We had no automatic rain weather station that could follow in terms of rainfall intensity. Besides, we had only the standard ranges to measure the rainfall amount and other paraments. The rainfall intensity was not difficult to measure.
  • Regis.Okay, How about the runoff? It would be essential to show because it is a proxy for infiltration if you could measure runoff. Do you have ideas about that, or was your study based on soil moisture only?
  • Swai. In phase one of the Africa RISING, another study was undertaken in the Kongwa Kiteto district and involved many parameters (runoff, soil loss, soil water content). Also, there was rip tillage using the oxen-drawn implement. In that study, we measured the runoff, and the impact was very evident. The rip tillage compares to conventional farmer tillage has less runoff. Tied ridge had low runoff, and traditional tillage of farmers had high runoff.