Takeshima, Hiroyuki. Article in press
Wongnaa, Camillus Abawiera; Kudzinawu, Christopher; Nti, Emmanuel Kwame; Babu, Suresh . Article in press
Gelli, Aulo; Folson, Gloria; Nwabuiku, Odiche; Bannerman, Boateng; Ador, Gabriel; Atadze, Vicentia; Asante, Millicent; McCloskey, Peter; Nguyen, Phuong; Hughes, David. Washington, DC 2024
We developed an artificial-intelligence-based phone application called Food Recognition Assistance and Nudging Insights (FRANI) to tackle these problems. FRANI was previously validated against observed weighed records, the gold standard for diet assessment, and shown to be as accurate as a trained dietician undertaking a standard, multi-pass 24-hr recall (Folson et al., 2023). FRANI was developed to also provide gamified nudges and personalized feedback designed to promote healthy food choices. The objectives of this study were to measure the acceptability, adherence, and likeability of FRANI, as well as its effects on the food choices of female youth in Accra, Ghana.
Asante, Felix A.. 2024
Asante, Felix A.. 2024
Haile, Beliyou; Boukaka, Sedi Anne; Azzarri, Carlo. 2024
Haile, Beliyou; Azzarri, Carlo; Castaing, Pauline; Kizito, Fred; Vitellozzi, Sveva; Boukaka, Sedi-Anne. 2024
Azzarri, Carlo; Boukaka, Sedi-Anne; Vitellozzi, Sveva. 2024
Miller, Joshua D.; Young, Sera L.; Bryan, Elizabeth; Ringler, Claudia. 2024
Dzanku, F.M.; Liverpool-Tasie, Saweda Lenis Onipede; Reardon, Thomas. 2024
Farnworth, Cathy Rozel; Galie, Alessandra; Gumucio, Tatiana; Jumba, Humphrey; Kramer, Berber; Ragasa, Catherine. 2024
Ambler, Kate; Jones, Kelly; Recalde, María P.. 2024
Gelli, Aulo; Nwabuikwu, Odiche; Bannerman, Boateng; Ador, Gabriel; Atadze, Vicentia; Asante, Millicent. 2024
Objectives This study aimed to validate FRANI (Food Recognition Assistance and Nudging Insights), a mobile phone application with computer vision–assisted dietary assessment, against weighed records (WRs) and compare with 24-h recalls (24HR), in female youth in Ghana.
Methods Dietary intake was assessed on 2 nonconsecutive days using FRANI, WR, and 24HR in females aged 18–24 y recruited at the University of Ghana, Accra (n = 64). Equivalence was examined by comparing intake mean ratios (FRANI/WR and 24HR/WR) with error margins of 10%, 15%, and 20%, using mixed-effect regression models adjusting for repeated measures. Agreement between methods was assessed using the concordance correlation coefficient (CCC).
Ambler, Kate; Jones, Kelly; Recalde, María P.. 2024
International Food Policy Research Institute (IFPRI). Washington, DC 2023
Xie, Hua; Ringler, Claudia. Washington, DC 2023
Pauw, Karl; Randriamamonjy, Josee; Thurlow, James; Diao, Xinshen; Ellis, Mia. Washington, DC 2023
Ghana Statistical Services; Institute for Statistical, Social, and Economic Research; International Food Policy Research Institute (IFPRI). Washington, DC 2023
Mockshell, Jonathan; Ritter, Thea Nielsen. Washington, DC; Oxford, UK 2023
Gelli, Aulo; Folson, Gloria; Nwabuiku, Odiche; Bannerman, Boateng; Ador, Gabriel; Atadze, Vicentia; Asante, Millicent; McCloskey, Peter; Sow, Doulo; Nguyen, Phuong; Hughes, David. Washington, DC 2023
Aurino, Elisabetta; Gelli, Aulo; Adamba, Clement; Osei-Akoto, Isaac; Alderman, Harold. Madison, WI 2023
Bryan, Elizabeth; Mekonnen, Dawit Kelemework. 2023
Balana, Bedru; Akudugu, Mamudu A.. 2023
Tabe-Ojong, Martin Paul Jr.; Nyam, Yong Sebastien; Lokossou, Jourdain C.; Gebrekidan, Bisrat Haile. 2023
Feed the Future Innovation Lab for Small Scale Irrigation. 2023
Pereira, Audrey; Akaligaung, Akalpa J.; Aborigo, Raymond; Peterman, Amber; Palermo, Tia; Barrington, Clare. 2023
Feed the Future Innovation Lab for Small Scale Irrigation. 2023
Feed the Future Innovation Lab for Small Scale Irrigation. 2023
Feed the Future Innovation Lab for Small Scale Irrigation. 2023
Ansah, Isaac Gershon K.; Kotu, Bekele; Manda, Julius; Muthoni, Francis; Azzarri, Carlo. 2023
Folson, Gloria; Bannerman, Boateng; Atadze, Vicentia; Ador, Gabriel; Kolt, Bastien; McCloskey, Peter; Gangupantulu, Rohit; Arrieta, Alejandra; Braga, Bianca C.; Arsenault, Joanne; Kehs, Annalyse; Doyle, Frank; Tran, Lan Mai; Hoang, Nga Thu; Hughes, David; Nguyen, Phuong Hong; Gelli, Aulo . 2023
Important gaps exist in the dietary intake of adolescents in low- and middle-income countries (LMICs), partly due to expensive assessment methods and inaccuracy in portion-size estimation. Dietary assessment tools leveraging mobile technologies exist but only a few have been validated in LMICs.
Objective
We validated Food Recognition Assistance and Nudging Insights (FRANI), a mobile artificial intelligence (AI) dietary assessment application in adolescent females aged 12–18 y (n = 36) in Ghana, against weighed records (WR), and multipass 24-hour recalls (24HR).
Methods
Dietary intake was assessed during 3 nonconsecutive days using FRANI, WRs, and 24HRs. Equivalence of nutrient intake was tested using mixed-effect models adjusted for repeated measures, by comparing ratios (FRANI/WR and 24HR/WR) with equivalence margins at 10%, 15%, and 20% error bounds. Agreement between methods was assessed using the concordance correlation coefficient (CCC).
Results
Equivalence for FRANI and WR was determined at the 10% bound for energy intake, 15% for 5 nutrients (iron, zinc, folate, niacin, and vitamin B6), and 20% for protein, calcium, riboflavin, and thiamine intakes. Comparisons between 24HR and WR estimated equivalence at the 20% bound for energy, carbohydrate, fiber, calcium, thiamine, and vitamin A intakes. The CCCs by nutrient between FRANI and WR ranged between 0.30 and 0.68, which was similar for CCC between 24HR and WR (ranging between 0.38 and 0.67). Comparisons of food consumption episodes from FRANI and WR found 31% omission and 16% intrusion errors. Omission and intrusion errors were lower when comparing 24HR with WR (21% and 13%, respectively).
Conclusions
FRANI AI–assisted dietary assessment could accurately estimate nutrient intake in adolescent females compared with WR in urban Ghana. FRANI estimates were at least as accurate as those provided through 24HR. Further improvements in food recognition and portion estimation in FRANI could reduce errors and improve overall nutrient intake estimations.
Tabe-Ojong, Martin Paul Jr.; Lokossou, Jaourdain C.; Gebrekidan, Bisrat; Affognon, Hippolyte D.. 2023
Ambler, Kate; de Brauw, Alan; Murphy, Mike. 2023
Kramer, Berber; Timu, Anne G.; Damba, Osman. 2023
Sinharoy, Sheela; Cheong, Yuk Fai; Heckert, Jessica; Seymour, Greg; Johnson, Erin R.; Yount, Kathryn M.. 2023
Resnick, Danielle; Sivasubramanian, Bhavna. 2023
Lefore, Nicole; Ringler, Claudia . 2023
The research program’s five areas of inquiry will develop socio-technical bundles that support uptake of mechanization and irrigation, strengthen institutions for natural resource governance and climate resilience, enable scaling of suitable technologies and support development of human resources. The fifth area of inquiry makes a leap from technology to nutrition and health, with the specific aim to “formulate strategies for nutrition-sensitive mechanization and irrigation that safeguard and enhance health and inclusivity.”
de Jager, Ilse; van de Ven, Gerrie W. J.; Giller, Ken E.; Brouwer, Inge D. . 2023
Alvi, Muzna Fatima; Gupta, Shweta; Barooah, Prapti; Ringler, Claudia; Bryan, Elizabeth; Meinzen-Dick, Ruth Suseela. Washington, DC 2022
Diao, Xinshen; Dorosh, Paul A.; Pauw, Karl; Smart, Jenny; Thurlow, James; Asante, Seth; Patil, Pranav. Washington, DC 2022
Folson, Gloria; Bannerman, Boateng; Ador, Gabriel; Atadze, Vicentia; Akoto, Saudatu; Asante, Stephen; Abbeyquaye, Joseph; Anang-Tetteh, Audrey; Guri, Erica; Ibrahim, Gabriel; Alhassan, Jamil; Tetteh, Matilda; Afuanimaa, Belinda; Koch, Bastien; McCloskey, Peter; Gangupantulu, Rohit; Braga, Bianca C.; Hughes, David; Gelli, Aulo. Washington, DC 2022
The main aim of this Food Atlas is to enable accurate portion-size estimation; during food consumption surveys, these images can be shown to respondents to aid them in describing the quantity of food consumed. The Food Atlas can also to aid in estimating, quantifying, educating, and counseling on appropriate portions of food in order to help improve dietary intake.
The meals were chosen using data collected during a previous study conducted at the Department of Nutrition, NMIMR, “Dietary Patterns and Cardio-metabolic Risk in Urban Dwelling Adolescents” (IRB Study Number 001/17-18), aimed at understanding the eating patterns, physical activity levels and their association with measures of adiposity, blood pressure, and fasting blood sugar among adolescents between ages 10 and 17.
All recipes were compiled with the aid of a professional caterer who had experience cooking for adolescents in a school setting.
Schreinemachers, Pepijn; Ambali, Mwasilwa; Mwambi, Mercy; Olanipekun, Caleb Ibukun; Yegbemey, Rosaine Nerice; Wopereis, Marco C. S.. Kigali, Rwanda; Washington, DC 2022
Hidrobo, Melissa; Palloni, Giordano; Aker, Jenny; Gilligan, Daniel O.; Ledlie, Natasha. 2022
Resnick, Danielle. 2022
Ragasa, Catherine; Agyakwah, Seth Koranteng; Asmah, Ruby; Mensah, Emmanuel Tetteh-Doku; Amewu, Sena; Oyih, Mathew. 2022
Azupogo, Fusta; Abizari, Abdul-Razak; Aurino, Elisabetta; Gelli, Aulo; Osendarp, Saskia J. M.; Bras, Hilde; Feskens, Edith J.; Brouwer, Inge D.. 2022
Ruml, Anette; Ragasa, Catherine; Qaim, Matin. 2022
Aryeetey, Richmond; Atuobi-Yeboah, Afua; Billings, Lucy; Nisbett, Nicholas; van den Bold, Mara; Touré, Mariama. 2022
Bryan, Elizabeth; Garner, Elisabeth. 2022
Ragasa, Catherine; Charo-Karisa, Harrison; Rurangwa, Eugene; Tran, Nhuong; Shikuku, Kelvin Mashisia. 2022
Mellon Bedi, Shaibu; Azzarri, Carlo; Hundie Kotu, Bekele; Kornher, Lukas; von Braun, Joachim. 2022
Musumba, Mark; Palm, Cheryl A.; Komarek, Adam M.; Mutuo, Patrick K.; Kaya, Bocary. 2022
Takeshima, Hiroyuki; Vos, Rob. Rome, Italy 2022
Haile, Beliyou; Mekonnen, Dawit; Choufani, Jowel; Ringler, Claudia; Bryan, Elizabeth. 2022
Ntiri, Prosper; Ragasa, Catherine; Anang, Samuel Afotey; Kuwornu, John K. M.; Torbi, Eva Nimorme. 2022
Pauw, Karl. 2022
Ragasa, Catherine; Mensah, Yaa Osei; Amewu, Sena. 2022
Aberman, Noora-Lisa; Gelli, Aulo; Agandin, John; Kufoalor, Doreen; Donovan, Jason. 2022
Zambrano, Patricia; Wood-Sichra, Ulrike; Ruhinduka, Remidius D.; Nin-Pratt, Alejandro; Komen, John; Kikulwe, Enoch Mutebi; Zepeda, José Falck; Dzanku, Fred M.; Chambers, Judith A.; Phillip, Dayo. 2022
Kamenya, Madalitso A.; Hendricks, Sheryl L.; Gandidzanwa, Colleta; Ulimwengu, John M.; Odjo, Sunday. 2022
Ragasa, Catherine; Amewu, Sena; Agyakwah, Seth Koranteng; Mensah, Emmanuel; Asmah, Ruby. 2022
Braga, Bianca C.; Arrieta, Alejandra; Bannerman, Boeteng; Doyle, Frank; Koch, Bastien; Nguyen, Phuong Hong; Gelli, Aulo. 2022
Koo, Jawoo; Azzarri, Carlo; Ghosh, Aniruddha; Quabili, Wahid. Washington, DC 2021
Koo, Jawoo; Azzarri, Carlo; Ghosh, Aniruddha; Quabili, Wahid. Washington, DC 2021
Pauw, Karl. Washington, DC 2021
Ragasa, Catherine; Amewu, Sena; Asante, Seth. Washington, DC 2021
Braga, Bianca C.; Aberman, Noora-Lisa; Arrieta, Alejandra; Bannerman, Boateng; Burns, Adam; Folson, Gloria; Huynh, Phuong; Koch, Bastien; McCloskey, Pete; Nguyen, Phuong Hong; Zakariah-Akoto, Sawudatu; Hughes, David; Gelli, Aulo. Washington, DC 2021
Vigneri, Marcella; Kolavalli, Shashidhara; Agandin, John; Moyo, Qondi. Washington, DC 2021
Using original survey data of producers and traders, the paper addresses two questions: Are there opportunities to increase the productivity of chilies? Does the marketing system deliver a significant share of the consumer prices to producers?
Chili yields are less than 1.0 mt/ha against a yield potential in Ghana of nearly 8 mt/ha. Long chili growers in the top 10 percentile by yields harvested nearly 18 bags compared to the average of 11 bags per acre obtained by all producers. These higher chili yields resulted primarily by applying higher levels of inorganic fertilizers. Many producers have adopted improved chili varieties – nearly 70 percent of long chili producers reported having planted Legon 18, the variety which is generally used for making chili powder. Producers also reported maintaining their crop in the field for unusually long periods to extend their production into leaner production periods.
Prices vary geographically by day and by marketing channel. The margins earned by traders on the sale price of their chilis range from 20 to 100 percent under different conditions. The chili value chain is short. The bulk of chilis produced reaches consumers with only one intermediary between producer and consumer. Fresh and dry chilies are marketed differently. Nearly 80 percent of dry chili producers sell at their farm gate, where they tend to obtain prices that are higher than those received by producers who take their dry chilies to markets. The reverse is true for fresh chili producers, however. It is plausible that producers choose between producing dry long or fresh round chilies depending on their marketing ability. Social networks influence the choice by producers of what traders to engage with, suggesting that producers with stronger ties to traders obtain higher prices.
Aberman, Noora-Lisa; Kufoalor, Doreen S.; Gilbert, Rachel. Washington, DC 2021
The implementation of the PFJ fertilizer subsidy program was mapped in interviews with key informants at national level and in six districts. Interviews with national-level stakeholders yielded important insights about the complex largely administrative process involved in the implementation of PFJ, which is generally unseen by beneficiaries. These administrative processes, however, have a considerable impact on the timeliness of the program and provide an outline of the intended implementation process at the local district level. The perspectives of farmers with regards to these processes were also investigated through in-depth interviews. Across the study districts we found some ambiguity and inconsistency in following the formally prescribed procedures for implementing the PFJ fertilizer subsidy program.
While we found broad agreement among key informants and farmers that the program is meeting its objectives, some areas in which the implementation process for the PFJ fertilizer subsidy program could be improved are highlighted. These improvements will enhance the efficiency and impact of the program.
Alvi, Muzna Fatima; Gupta, Shweta; Barooah, Prapti. Washington, DC 2021
Almost three-quarters of households surveyed reported income loss due to the pandemic in Aug/Sep 2020.
Use of savings, borrowing and asset sales were common. Women often relied on men’s savings as a coping strategy; government transfers were insignificant.
Addressing COVID-19 in rural areas is hindered by a domestic water supply crisis. Approximately half of respondents reported being worried about water availability, changing their activities due to lack of water, not having enough drinking water, and not washing hands when necessary.
Asante, Felix Ankomah; Bawakyillenuo, Simon. Washington, DC 2021
Asante, Seth; Andam, Kwaw S.; Simons, Andrew M.; Amprofi, Felicia Ansah; Osei-Assibey, Ernest; Iddrisu, Adisatu; Blohowiak, Samuel. Washington, DC 2021
Mockshell, Jonathan; Asante-Addo, Collins; Andam, Kwaw S.; Asante, Felix Ankomah. Washington, DC 2021
Food and Agricultural Organization of the United Nations (FAO); International Food Policy Research Institute (IFPRI). Rome, Italy; Washington, DC 2021
Food and Agricultural Organization of the United Nations (FAO); International Food Policy Research Institute (IFPRI). Rome, Italy; Washington, DC 2021
Atuobi-Yeboah, Afua; Casu, Laura; Diatta, Ampa Dogui; Kaboré, Judith; Touré, Fanta; Verstraeten, Roosmarijn. Dakar, Senegal 2021
We examine i) nutrition context, policy objectives, indicators, budget, and activities, ii) key beneficiaries, actors and coordination, iii) monitoring, evaluation, and accountability, and iv) whether current policies are aligned with the World Health Assembly (WHA) global targets.
Atuobi-Yeboah, Afua; Casu, Laura; Diatta, Ampa Dogui; Kaboré, Judith; Touré, Fanta; Verstraeten, Roosmarijn. Dakar, Senegal 2021
Nous examinons i) le contexte nutritionnel, les objectifs des politiques, les indicateurs, le budget et les activités planifiées ; ii) les bénéficiaires clés, les acteurs et la coordination ; iii) les mécanismes de suivi-évaluation et de responsabilisation des politiques et iv) si les politiques actuelles sont en adéquation avec les objectifs mondiaux de l’Assemblée mondiale de la santé (AMS).
Casu, Laura; Uzhova, Irina; Diatta, Ampa Dogui; Dramé, Mariame; Verstraeten, Roosmarijn. Dakar, Senegal 2021
Diop, Loty; van den Bold, Mara; Guo, Zhe; Verstraeten, Roosmarijn. Dakar, Senegal 2021
Salm, Leah; Touré, Mariama; Diatta, Dieynab; Campbell, Fiona; Booth, Andrew; Verstraeten, Roosmarijn. Dakar, Senegal 2021
contextualization and implementation of interventions to promote breastfeeding.
Gelli, Aulo; Masset, Edoardo; Adamba, Clement; Alderman, Harold; Arhinful, Daniel K.; Aurino, Elisabetta; Folson, Gloria; Osei-Akoto, Isaac; Asante, Felix Ankomah. Washington, DC 2021
Transform Nutrition West Africa. Dakar, Senegal 2021
Transform Nutrition West Africa. Dakar, Senegal 2021
Casu, Laura; van den Bold, Mara; Diop, Loty; Aryeetey, Richard N. O.; Verstraeten, Roosmarijn. Dakar, Senegal 2021
Casu, Laura; Uzhova, Irina; Diatta, Ampa Dogui; Dramé, Mariame; Verstraeten, Roosmarijn. Dakar, Senegal 2021
Salm, Leah; Touré, Mariama; Diatta, Dieynab; Campbell, Fiona; Booth, Andrew; Verstraeten, Roosmarijn. Dakar, Senegal 2021
Diop, Loty; van den Bold, Mara; Guo, Zhe; Verstraeten, Roosmarijn. Dakar, Senegal 2021
Ambler, Kate; Herskowitz, Sylvan; Maredia, Mywish K.. Washington, DC 2021
Ragasa, Catherine; Amewu, Sena; Asante, Seth. Washington, DC 2021
Reduction in incomes were reported by 83 percent of urban households in Accra, mainly due to business closures and lower sales from their trading enterprises. Most households, however, are showing resilience in terms of food consumption, with a majority of urban consumers surveyed maintaining their pre-COVID-19 level of food consumption; only 9 percent of urban consumers reported reductions in food consumption to cope with income loss due to COVID-19.
For the respondents in the rural areas in middle and southern Ghana, 76 percent reported income loss, and all reported that their livelihoods had been affected. Thirty-four percent of 2020 minor season crop farmers experienced difficulty in selling their produce, and 43 percent of all sample crop farmers anticipated difficulties in accessing inputs in the 2020 major season, mainly fertilizers and agrochemicals. Of those growing fish, 53 percent experienced difficulty in accessing inputs, mainly feeds; 60 percent reported increased input prices; and 64 percent of those harvesting from March to June 2020 experienced difficulties in selling their fish because of lower demand, lower tilapia prices, and higher transportation costs. Despite farm and nonfarm income losses, a majority of households in the rural sample reported maintaining previous levels of diet diversity and food consumption - only 11 percent reported reducing their food consumption to cope with income loss.
Several months into the COVID-19 crisis in Ghana, households in both rural and urban areas showed some resilience in terms of their agricultural production and food consumption. Regular monitoring is needed, however, especially if household savings start to dry up and coping mechanisms become more restrictive.
Alderman, Harold; Aurino, Elisabetta; Baffour, Priscilla Twumasi; Gelli, Aulo; Turkson, Festus; Wong, Brad. Washington, DC 2021
Takeshima, Hiroyuki. Washington, DC 2021
Takeshima, Hiroyuki; Diao, Xinshen. Washington, DC 2021
Amewu, Sena; Arhin, Eunice; Pauw, Karl. Washington, DC 2021
Asante, Seth; Simons, Andrew M.; Andam, Kwaw S.; Ansah Amprofi, Felicia; Osei-Assibey, Ernest; Iddrisu, Adisatu. Washington, DC 2021
Choufani, Jowel; Bryan, Elizabeth; Mekonnen, Dawit Kelemework; Ringler, Claudia. Washington, DC 2021
Ambler, Kate; Herskowitz, Sylvan; Maredia, Mywish K.. Washington, DC 2021
Vos, Rob; Takeshima, Hiroyuki. Washington, DC 2021
Various key findings emerge. First, many children are found to engage in productive activities in studied countries. The prevalence is particularly high in African countries, such as in Ethiopia where more than one third of children aged 5-14 years engage in farm or off-farm work. Second, while the prevalence of child labour in agriculture (i.e., when productive engagement is detrimental to schooling and child growth) is much lower (at 10% or less in seven countries), they are still sizable in absolute terms; at least 6 million children in these countries partake in agricultural work at the expense of opportunities in adulthood. Third, agricultural mechanization, reflected in farm household’s use of machinery such as tractors, significantly reduces the likelihood of use of children’s labour and increases school attendance. Fourth, the measured impacts of mechanization are only modest, however, and likely indirect, that is, dependent on the extent to which mechanization helps improve household income and on local conditions (such as quality of rural infrastructure and accessibility of education and other social services).
Overall, promotion of agricultural mechanization can help prevent use of child labour. To be truly impactful, however, related support measures should be embedded in broader strategies to enable agricultural productivity growth and improve livelihoods of poor rural households.
Quisumbing, Agnes R.; Sproule, Kathryn; Martinez, Elena M.; Malapit, Hazel Jean L.. 2021
Magnan, Nicholas; Hoffmann, Vivian; Garrido, Gissele; Kanyam, Daniel Akwasi; Opoku, Nelson. 2021
Gillespie, Stuart; Harris, Jody; Nisbett, Nicholas; van den Bold, Mara. 2021
Bekoe, Joseph; Balana, Bedru; Nimoh, Fred. 2021
Komarek, Adam M.; Rahman, Nurudeen Abdul; Bandyopadhyay, Arkadeep; Kizito, Fred; Koo, Jawoo; Addah, Weseh. 2021
The accessibility and availability of forages is a common concern in crop-livestock systems in West Africa; however, options to increase forage production may entail trade-offs within the farm system that can be challenging to quantify explicitly.
OBJECTIVE
This study examined how maize (Zea mays L.) leaf stripping affected maize and sheep productivity and associated labour requirements, and farm system trade-offs and synergies in four communities in the Northern Region of Ghana.
METHODS
Maize leaf stripping involved removing almost senesced leaves from maize plants below the cob level at silking. We combined data from three sources: on-farm maize trials with 28 farmers from two seasons (2017 and 2018), on-farm sheep feeding trials where the pasture-based diets of weaner sheep were supplemented with stripped maize leaves fed in pens (conducted in 2019), and farm survey data from 117 households (conducted in 2014), seven of which were in the on-farm maize trials and owned sheep. We examined the trial data using linear mixed-effects models.
RESULTS AND CONCLUSIONS
Maize leaf stripping had no significant effect on maize grain yield but had a significant positive effect on maize forage protein yield from leaf and stover. Offering maize leaves to weaner sheep had a significant positive effect on average daily liveweight gain, estimated marginal mean was 29.3 g with maize leaves and −10.9 g without maize leaves. For the maize-sheep systems of the seven households, non-inferential statistics suggested that on average maize leaf stripping reduced total maize grain production by 12% (range −46 to 38) and increased maize forage protein production from leaf and stover by 90% (range −16 to 298). Stripping the maize leaves from one hectare of land took an extra 34 h (range 27 to 42) of labour, which was counterbalanced by reduced labour time for grazing as sheep were fed the maize leaves in pens. For the 117 farmers, heterogeneity in maize areas planted and livestock numbers resulted in heterogeneous production and labour effects of maize leaf stripping. Farmers qualitatively described how maize leaf stripping released labour so children could spend more time at school rather than shepherding.
SIGNIFICANCE
We quantified in northern Ghana how maize leaf stripping altered crop and livestock productivity and associated trade-offs and synergies in the farm system, including labour. Changes in crop management often have implications beyond the crop's field and examining these implications can provide insights into the suitability of alternative farm management options.
Ambler, Kate; Herskowitz, Sylvan; Maredia, Mywish K.. 2021
Wongnaa, Camillus Abawiera; Apike, Isaac Akurugu; Babu, Suresh Chandra; Awunyo-Vitor, Dadson; Kyei, Afrane Baffour. 2021
Bedi, Shaibu Mellon; Azzarri, Carlo; Kotu, Bekele Hundi; Kornher, Lukas. 2021
Food and Agricultural Organization of the United Nations (FAO); International Food Policy Research Institute (IFPRI). Rome, Italy 2021
Gumucio, Tatiana; Kramer, Berber; Ragasa, Catherine; Pyburn, Rhiannon; Galie, Alessandra; Aredo, Samson Dejene; Jumba, Humphrey; Nimorme, Eva; Omondi, Inmaculate; Sufian, Farha D.. Wageningen, The Netherlands 2021
Hidrobo, Melissa; Palloni, Giordano; Aker, Jenny C.; Gilligan, Daniel O.; Ledlie, Natasha. Washington, DC 2020
Bryan, Elizabeth; Garner, Elisabeth. Washington, DC 2020
Kolavalli, Shashidhara; Agandin, John; Ampofo, Aaron; Kemeze, Francis; Amewu, Sena. Washington, DC 2020
In this study, the efficacy of four sorts of value chain interventions implemented by the two projects are examined in the context of the strengthening maize, pineapple, mango, and citrus value chains:
• Facilitating interactions among value chain actors to encourage technical and institutional innovations,
• Improving the operations of individual actors, such as producers, service providers, traders, and processors;
• Helping develop new services for producers or initiating new producer institutions; and
• Improving infrastructure.
The study sought to identify how, where, and when might it be appropriate to intervene in value chains, particularly to benefit smallholders. While the lessons from this study do not comprehensively answer these questions, a better understanding is provided on the reasons behind the outcomes the projects attained in seeking to strengthen agricultural commodity value chains and some guidance is offered on how interventions aimed at doing so should be designed.
Ministry of Food and Agriculture (MoFA); International Food Policy Research Institute (IFPRI). Washington, DC 2020
Ministry of Food and Agriculture (MoFA); International Food Policy Research Institute (IFPRI). Washington, DC 2020
Ministry of Food and Agriculture (MoFA); International Food Policy Research Institute (IFPRI). Washington, DC 2020
Ministry of Food and Agriculture (MoFA); International Food Policy Research Institute (IFPRI). Washington, DC 2020
Quisumbing, Agnes R.; Sproule, Kathryn; Martinez, Elena M.; Malapit, Hazel J.. Washington, DC 2020
Ambler, Kate; de Brauw, Alan; Murphy, Mike. Washington, DC 2020
Amewu, Sena; Asante, Seth; Pauw, Karl; Thurlow, James. Washington, DC 2020
Ragasa, Catherine; Agyakwah, Seth K.; Asmah, Ruby; Mensah, Emmanuel Tetteh-Doku; Amewu, Sena. Washington, DC 2020
Resnick, Danielle; Sivasubramanian, Bhavna. Washington, DC 2020
Marivoet, Wim; Ulimwengu, John M.; Sall, Leysa Maty. Washington, DC 2020
Kruijssen, Froukje; Rappoldt, Anne; Ragasa, Catherine; Newton, Julie. Washington, DC 2020
Aryeetey, Richmond; Atuobi-Yeboah, Afua; van den Bold, Mara; Nisbett, Nicholas. Dakar, Senegal 2020
Konlambigue, Matieyedou; Ortega-Beltran, Alejandro; Bandyopadhyay, Ranajit; Shanks, Tracy; Landreth, Edward; Jacob, Oscar. Washington, DC 2020
Takeshima, Hiroyuki; Diao, Xinshen; Aboagye, Patrick Ohene. Washington, DC; Kigali 2020
Diao, Xinshen; Takeshima, Hiroyuki. Washington, DC 2020
Diao, Xinshen, ed.; Takeshima, Hiroyuki. ed.; Zhang, Xiaobo, ed.. Washington, DC 2020
Diao, Xinshen, ed.; Takeshima, Hiroyuki. ed.; Zhang, Xiaobo, ed.. Washington, DC 2020
Diao, Xinshen; Silver, Jed; Takeshima, Hiroyuki; Zhang, Xiaobo. Washington, DC 2020
Resnick, Danielle. Washington, DC 2020
CGIAR Research Program on Policies, Institutions, and Markets (PIM). Washington, DC 2020
Ministry of Food and Agriculture (MoFA); International Food Policy Research Institute (IFPRI). Washington, DC 2020
Ministry of Food and Agriculture (MoFA); International Food Policy Research Institute (IFPRI). Washington, DC 2020
Atuobi-Yeboah, Afua; Aberman, Noora-Lisa; Ringler, Claudia. Washington, DC 2020
Ambler, Kate; Herskowitz, Sylvan; Maredia, Karim M.. Washington, DC 2020
Ambler, Kate; Jones, Kelly M.; Recalde, Maria P.. Washington, DC 2020
Asante, Seth B.; Ragasa, Catherine; Andam, Kwaw S.. Washington, DC 2020
Aryeetey, Richmond; Atuobi-Yeboah, Afua; van den Bold, Mara; Nisbett, Nicholas. Dakar, Senegal 2020
Balana, Bedru B.; Bizimana, Jean-Claude; Richardson, James W.; Lefore, Nicole; Adimassu, Zenebe; Herbst, Brian K.. 2020
Bellon, Mauricio R.; Kotu, Bekele Hundie; Azzarri, Carlo; Caracciolo, Francesco. 2020
Ruml, Anette; Ragasa, Catherine; Qaim, Matin. Göttingen, Germany 2020
Tuholske, Cascade; Andam, Kwaw S.; Blekking, Jordan; Evans, Tom; Caylor, Kelly. 2020
Thurlow, James; Mueller, Valerie. 2020
Agyakwah, Seth K.; Asmah, Ruby; Mensah, Emmanuel T. D.; Ragasa, Catherine; Amewu, Sena; Tran, Nhuong; Oyih, Mathew; Ziddah, Peter. 2020
Agyakwah, Seth K.; Asmah, Ruby; Mensah, Emmanuel T. D.; Ragasa, Catherine; Amewu, Sena; Tran, Nhuong; Oyih, Mathew; Ziddah, Peter. 2020
Agyakwah, Seth K.; Asmah, Ruby; Mensah, Emmanuel T. D.; Ragasa, Catherine; Amewu, Sena; Tran, Nhuong; Oyih, Mathew; Ziddah, Peter. 2020
Aquaculture has existed in Ghana since the 1950s, though the sector didn’t experience major growth until around 2000, when large-scale commercial production began. Today, it plays a key role in the nation’s prosperity, contributing to food security by augmenting domestic fish production and creating jobs. Even so, challenges that have historically plagued the sector and hindered growth remain pervasive. These include low technical know-how and a lack of quality inputs such as seed and feed. Although knowledge in the sector has increased over the years, small-scale farmers (most of whom are indigenous) continue to struggle with basic farming practices. As a result, they’re often faced with poor yields, which can ultimately lead to a farm’s collapse. The Tilapia Seed Project is aimed at accelerating quality tilapia seed production and dissemination in Ghana. Project stakeholders produced this manual to provide accurate direction to small-scale fish farmers in Ghana. After reviewing its contents, we expect that it will prove instrumental in helping farmers improve production, and that it will serve as a valuable catalyst for growth in this important sector.
Barnett, Inka; Batchelor, Simon; Billings, Lucy; Faith, Becky; Gilligan, Daniel; Gordon, Jessica; Hidrobo, Melissa; Palloni, Giordano; Scott, Nigel. Brighton, UK 2020
Adimassu, Zenebe; Balana, Bedru B.; Appoh, Richard; Nartey, Eric. 2020
Wongnaa, Camillus Abawiera; Babu, Suresh Chandra. 2020
Barnett, Inka; Gordon, Jessica; Faith, Becky; Gilligan, Daniel O.; Hidrobo, Melissa; Palloni, Giordano; Batchelor, Simon; Scott, Nigel. 2020
Adams, Abdulai; Balana, Bedru; Lefore, Nicole. 2020
Takeshima, Hiroyuki; Liu, Yanyan. 2020
Yokying, Phanwin; Lambrecht, Isabel. 2020
Azupogo, Fusta; Abizari, Abdul-Razak; Aurino, Elisabetta; Gelli, Aulo; Osendarp, Saskia J. M.. 2020
Ragasa, Catherine; Andam, Kwaw S.; Asante, Seth; Amewu, Sena. 2020
Amewu, Sena; Asante, Seth; Pauw, Karl; Thurlow, James. 2020
Ragasa, Catherine; Andam, Kwaw S.; Amewu, Sena; Asante, Seth; . Washington, DC 2019
Bourdier, Tomoé. Washington, DC 2019
Andam, Kwaw S.; Ragasa, Catherine; Asante, Seth; Amewu, Sena. Washington, DC 2019
Babu, Suresh Chandra; De Pinto, Alessandro; Paul, Namita. Washington, DC 2019
Yokying, Phanwin; Lambrecht, Isabel. Washington, DC 2019
Transform Nutrition West Africa (TNWA). Washington, DC 2019
Benin, Samuel. Washington, DC 2019
Benin, Samuel; Tiburcio, Ernesto. Washington, DC 2019
Aragie, Emerta; Artavia, Marco; Pauw, Karl. Washington, DC 2019
Aragie, Emerta; Artavia, Marco; Pauw, Karl. Washington, DC 2019
Following Ghana’s unfavorable assessment in the African Agricultural Transformation Scorecard (AATS), which was launched by the African Union (AU) in 2018, and in light of policy developments, budgetary trends, and socioeconomic outcomes, Ghana’s development partners called for an increase in funding allocated to the agriculture sector at the national Joint Sector Review for Agriculture in June 2019. They further called for improvements in the effectiveness of agricultural spending, with the distortionary effects of large-scale subsidy programs highlighted as a specific concern. A recent study led by IFPRI’s Ghana Strategy Support Program (GSSP) and FAO’s Monitoring and Analyzing Food and Agricultural Policies (MAFAP) project considers these issues further (Aragie et al. 2019). Specifically, using an economywide model of the Ghanaian economy, the research-ers examined how changes in the level and composition of public agricultural expenditure affect socioeconomic outcomes in the short and medium term in Ghana. This note highlights selected key study findings.
Kramer, Berber; Lambrecht, Isabel. Washington, DC 2019
Diao, Xinshen, ed.; Hazell, Peter B.R., ed.; Kolavalli, Shashidhara, ed.; Resnick, Danielle, ed.. New York, NY 2019
Johnson, Michael E.; Houssou, Nazaire; Kolavalli, Shashidhara; Hazell, Peter B.R.. New York, NY 2019
Resnick, Danielle. New York, NY 2019
Diao, Xinshen; Magalhaes, Eduardo; Silver, Jed. New York, NY 2019
Diao, Xinshen; Cossar, Frances; Houssou, Nazaire; Kolavalli, Shashidhara. New York, NY 2019
Diao, Xinshen; Hazell, Peter B.R.; Kolavalli, Shashidhara; Resnick, Danielle. Washington, DC 2019
Diao, Xinshen; Hazell, Peter B.R.. New York, NY 2019
Diao, Xinshen; Hazell, Peter B.R.; Kolavalli, Shashidhara; Resnick, Danielle. New York, NY 2019
Hazell, Peter B.R.; Diao, Xinshen; Magalhaes, Eduardo. New York, NY 2019
Benin, Samuel. New York, NY 2019
Kolavalli, Shashidhara. New York, NY 2019
Diao, Xinshen; Hazell, Peter B.R.; Kolavalli, Shashidhara; Resnick, Danielle. New York, NY 2019
Takeshima, Hiroyuki; Liu, Yanyan. Washington, DC 2019
Mekonnen, Dawit Kelemework; Bryan, Elizabeth; Choufani, Jowel; Davies, Emma; Ringler, Claudia; Passarelli, Simone. Washington, DC 2019
Takeshima, Hiroyuki; Liu, Yanyan. Washington, DC 2019
Billings, Lucy; Wullingdool, Emmanuel. Washington, DC 2019
Magnan, Nicholas; Hoffmann, Vivian; Garrido, Gissele; Kanyam, Faniel Akwasi; Opoku, Nelson. Washington, DC 2019
Diao, Xinshen; Fang, Peixun; Magalhaes, Eduardo; Pahl, Stefan; Silver, Jed. New York, NY 2019
Mekonnen, Dawit Kelemework; Choufani, Jowel; Bryan, Elizabeth; Abizari, Abdul-Razak; Ringler, Claudia; Amikuzuno, Joseph. Washington, DC 2019
Gelli, Aulo; Aurino, Elisabetta. Washington, DC 2019
Hoffmann, Vivian; Grace, Delia; Lindahl, Johanna; Mutua, Florence; Ortega-Beltran, Alejandro; Bandyopadhyay, Ranajit; Mutegi, Charity; Herrman, Tim. Washington, DC 2019
Azupogo, Fusta; Aurino, Elisabetta; Gelli, Aulo; Bosompem, Kwabena M.; Ayi, Irene; Osendarp, Saskia J. M.; Brouwer, Inge D.; Folson, Gloria. 2019
Houssou, Nazaire; Asante-Addo, Collins; Andam, Kwaw S.; Ragasa, Catherine. 2019
Haile, Beliyou; Signorelli, Sara; Azzarri, Carlo; Guo, Zhe. 2019
Janssens, Charlotte; Van den Broeck, Goedele; Maertens, Miet; Lambrecht, Isabel. 2019
Kramer, Berber; Lambrecht, Isabel. 2019
perceived skills. We conclude that both men and women reveal a strong preference for a diversity of income-generating activities, which needs to be reflected in programs and policies aiming to improve women’s economic empowerment.
Balana, Bedru B.; Sanfo, Safietou; Barbier, Bruno; Williams, Timothy O.; Kolavalli, Shashidhara. 2019
Gelli, Aulo; Aurino, Elisabetta; Folson, Gloria; Arhinful, Daniel K.; Adamba, Clement; Osei-Akoto, Isaac; Alderman, Harold. 2019
Diao, Xinshen; Magalhaes, Eduardo; Silver, Jed. 2019
Resnick, Danielle. 2019
Mueller, Valerie; Masias, Ian; Vallury, Sechindra. 2019
Cooper, Matthew; Brown, Molly E.; Azzarri, Carlo; Meinzen-Dick, Ruth Suseela. 2019
Resnick, Danielle; Diao, Xinshen; Hazell, Peter B. R.; Kolavalli, Shashidhara. 2019
Hall, Brian J.; Garabiles, Melissa R.; de Hoop, Jacobus; Pereira, Audrey; Prencipe, Leah; Palermo, Tia. 2019
Van Asselt, Joanna; DI Battista, Federica; Kolavalli, Shashidhara; Udry, Christopher R.. Washington, D.C. 2018
Van Asselt, Joanna; Masias, Ian; Kolavalli, Shashidhara. Washington, DC 2018
International Food Policy Research Institute (IFPRI). Washington, DC 2018
Ragasa, Catherine; Andam, Kwaw S.; Kufoalor, Doreen S.; Amewu, Sena. Washington, DC 2018
The industry can further increase aquaculture productivity through the adoption of faster-growing fish strains and better management practices. Ghana’s aquaculture sector could grow even faster by adopting lessons from other countries, including on infrastructure provision, fiscal incentives for the production of fish feed ingredients, and sustainable fish farming practices, particularly through paying close attention to water and feed quality and addressing food safety concerns within the sector.
Dzanku, Fred M.; Zambrano, Patricia; Wood-Sichra, Ulrike; Falck-Zepeda, José Benjamin; Chambers, Judith A.; Hanson, Hillary; Boadu, Paul. Washington, DC 2018
Aurino, Elisabetta; Gelli, Aulo; Adamba, Clement; Osei-Akoto, Isaac; Alderman, Harold. Washington, DC 2018
University of Ghana; International Food Policy Research Institute (IFPRI). Accra, Ghana 2018
are ‘Stories of Change in Nutrition in Ghana’, and ‘Leveraging Food Systems for Improved Nutrition in Ghana’. Both have been initiated by the International Food Policy Research Institute (IFPRI). This report provides a summary of a consultative stakeholder meeting held jointly by the two initiatives on July 3, 2018 in Accra, to engage key stakeholders just as the two initiatives are commencing activities in Ghana. The purpose of the meeting was to introduce participants to the research plans and activities and to present preliminary findings. The meeting also was an opportunity to seek stakeholder input on: a) the actors, actions, and policy processes that have led to improvements in key nutrition problems in the past ; and b) the opportunities for leveraging a changing food system for continued progress on nutrition. Finally, the meeting also sought to learn from stakeholders what were feasible approaches and pathways for engagement and participation. Proceedings of the meeting are presented in this report.
Houssou, Nazaire; Johnson, Michael; Kolavalli, Shashidhara; Asante-Addo, Collins. 2018
Weyori, Alirah Emmanuel; Amare, Mulubrhan; Garming, Hildegard; Waibel, Hermann; . 2018
Ragasa, Catherine; Lambrecht, Isabel; Kufoalor, Doreen S.. 2018
Lambrecht, Isabel; Ragasa, Catherine. 2018
Takeshima, Hiroyuki; Houssou, Nazaire; Diao, Xinshen. 2018
Theis, Sophie; Lefore, Nicole; Meinzen-Dick, Ruth Suseela; Bryan, Elizabeth . 2018
Komatsu, Hitomi; Malapit, Hazel J.; Theis, Sophie. 2018
Andam, Kwaw S.; Tschirley, David; Asante, Seth; Al-Hassan, Ramatu M.; Diao, Xinshen;. 2018
Seymour, Gregory; Peterman, Amber. 2018
Ecker, Olivier. 2018
Thurlow, James. 2018
Lambrecht, Isabel; Schuster, Monica; Asare Samwini, Sarah; Pelleriaux, Laura. 2018
Handa, Sudhanshu; Daidone, Silvio; Peterman, Amber; Davis, Benjamin; Pereira, Audrey; Palermo, Tia; Yablonski, Jennifer. 2018
Andam, Kwaw S.; Asante, Seth. 2018
Resnick, Danielle. 2017
Ragasa, Catherine; Chapoto, Antony. 2017
Babu, Suresh Chandra; De Pinto, Alessandro. Bangalore, India 2017
Andam, Kwaw S.; Tschirley, David; Asante, Seth; Al-Hassan, Ramatu M.; Diao, Xinshen. 2017
Houssou, Nazaire; Diao, Xinshen; Asante-Addo, Collins; Kolavalli, Shashidhara. 2017
Ragasa, Catherine; Chapoto, Anthony. 2017
Ghebru, Hosaena; Lambrecht, Isabel. 2017
Benin, Samuel. 2017
paper assesses the returns to public spending in the agricultural sector, taking into
consideration expenditures on agriculture as a whole and then separately for expenditures in
the cocoa versus the noncocoa subsectors. Different regression methods and related
diagnostic tests are used to address potential endogeneity of agricultural expenditure, crosssubsector
dependence of the production function error terms, and within-subsector serial
correlation of the error terms. The estimated elasticities are then used to calculate the rate of
return to expenditures in the sector as a whole and within the two subsectors.
The elasticity of land productivity with respect to total agricultural expenditure is
estimated at 0.33–0.34. For the noncocoa subsector, the estimated elasticity is 0.66–0.81. And
in the cocoa subsector, it is 0.36–0.43. The returns to total agricultural expenditure are
estimated at 82–84 percent for the aggregate analysis. For the disaggregated sectorial
analysis, the returns to expenditure in the noncocoa subsector are estimated at 437–524
percent, whereas the returns to expenditure in the cocoa subsector are estimated at 11–14
percent. Implications are discussed for raising overall productivity of expenditure in the
sector, as well as for further studies.
McMillan, Margaret S.; Rodrik, Dani; Sepúlveda, Claudia. Cambridge, MA 2017
Fernandes, Meenakshi; Folson, Gloria; Aurino, Elisabetta; Gelli, Aulo. 2017
Ragasa, Catherine. 2016
Gelli, Aulo; Masset, Edoardo; Folson, Gloria; Kusi, Anthony; Arhinful, Daniel K.; Asante, Felix; Ayi, Irene; Bosompem, Kwabena M.; Watkins, Kristie; Abdul-Rahman, Lutuf; Agble, Rosanna; Anase-Baden, Gertrude; Mumuni, Daniel; Aurino, Elisabetta; Fernandes, Meena; Drake, Lesley. 2016
Lambrecht, Isabel; Asare, Sarah. 2016
Lambrecht, Isabel. 2016
Ward, Christopher; Torquebiau, Raphael; Xie, Hua. Washington, D.C. 2016
Wun, Jolene; Namaste, Sorrel; Sununtnasuk, Celeste; Fisseha, Teemar; Forfoe, Wilfred; Bonku, Edward; Moorthy, Denish. Arlington, VA 2016
Fernandes, Meenakshi; Galloway, Rae; Gelli, Aulo; Mumuni, Daniel; Hamdani, Salha; Kiamba, Josephine; Quarshie, Kate; Bhatia, Rita; Aurino, Elisabetta; Peel, Francis; Drake, Lesley. 2016