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References

Listed below are the scholarly articles used in the development of this framework. 

Anderson, J. and Ingram, J. 1993.Tropical Soil Biology and Fertility – A Methods Manual 2nd edition, CABI.

Baker, D. & Pica-Ciamarra, U. 2010. Routine livestock data in sub-Saharan Africa: collection and use. FAO Publication: Rome.

Behnke, R.H., 1987. Cattle accumulation and the commercialization of the traditional livestock industry in Botswana. Agricultural Systems, 24(1), pp.1-29.

Coe, R. 2002. Analyzing Ranking and Rating Data from Participatory On-Farm Trials. p.44 in Bellon, M.R. and Reeves, J., Quantitative analysis of data from participatory methods in plant breeding. CIMMYT. http://libcatalog.cimmyt.org/download/cim/448231.pdf

De Groote, H., Rutto, E., Odhiambo, G., Kanampiu, F., Khan, Z., Coe, R. and Vanlauwe, B., 2010. Participatory evaluation of integrated pest and soil fertility management options using ordered categorical data analysis. Agricultural Systems, 103(5), pp.233-244.

Dobermann, A., 2007. Nutrient use efficiency–measurement and management. Fertilizer best management practices, 1.

Dorward, A., Anderson, S., Paz, R., Pattison, J., Vera, E. S., Nava, Y. & Rushton, J. 2005. A guide to indicators & methods for assessing the contribution of livestock keeping to livelihoods of the poor. Department of Agricultural Sciences, Imperial College London Publication: Kent, United Kingdom.

Evans, L. T. (1996). Crop evolution, adaptation and yield. Cambridge University Press

Fixen, P., Brentrup, F., Bruulsema, T.W., Garcia, F., Norton, R. and Zingore, S., 2015. Nutrient/fertilizer use efficiency: measurement, current situation and trends. Managing Water and Fertilizer for Sustainable Agricultural Intensification, p.8.

Fermont, A. and Benson, T., 2011. Estimating yield of food crops grown by smallholder farmers. International Food Policy Research Institute, Washington DC, pp.1-68.

Jones, J. W., J. M. Antle, B. O. Basso, K. J. Boote, R. T. Conant, I. Foster, H. C. J. Godfray, M. Herrero, R. E. Howitt, S. Janssen, B. A. Keating, R. Munoz-Carpena, C. H. Porter, C. Rosenzweig, and T. R. Wheeler, 2015. Towards a New Generation of Agricultural System Models, Data, and Knowledge Products: State of Agricultural Systems Science. AgMIP, <http://goo.gl/f4eVl4>.

Jones, J.W., Hoogenboom, G., Porter, C.H., Boote, K.J., Batchelor, W.D., Hunt, L.A., Wilkens, P.W., 2003. The DSSAT cropping system model. European Journal of Agronomy 18, 235–265.

Kawano, K., 1990. Harvest index and evaluation of major food crop cultivars in the tropics. Euphytica, 46(3), pp.195-202.

Keating, B.A., Carberry, P.S., Hammer, G.L., Probert, M.E., Robertson, M.J., Holzworth, D., Huth, N.I., Hargreaves, J.N., Meinke, H., Hochman, Z. and McLean, G., 2003. An overview of APSIM, a model designed for farming systems simulation. European journal of agronomy, 18(3), pp.267-288.

de Leeuw, P N; P P Semenye; C P Peacock and B E Grandin 1991. Productivity of Cattle nad Smallstock. Ch. 7 in: Solomon Bekure, de Leeuw P N. Grandin B E and Neate P J H (eds). Maasai herding: An analysis of the livestock production system of Maasai pastoralists in eastern Kajiado District, Kenya. ILCA Systems Study 4. ILCA (International Livestock Centre for Africa), Addis Ababa, Ethiopia. 172 pp. http://www.fao.org/wairdocs/ILRI/x5552E/x5552e00.htm

Lesnoff, M., Lancelot, R., Moulin, C.-H., Messad, S., Juanès, X. & Sahut, C. 2011. Calculation of demographic parameters in tropical livestock herds – a discrete time approach with LASER animal-based monitoring data. Editions Quae, CIRAD: Montpellier, France.

Lobell, D. B. The use of satellite data for crop yield gap analysis. F. Crop. Res. 143, 56–64 (2013).

Lobell, D. B., Cassman, K. G., & Field, C. B. (2009). Crop yield gaps: their importance, magnitudes, and causes. Annual Review of Environment and Resources, 34 (1), 179.

Mapunda, A., Chassama, J. and Pica-Ciamarra, U. 2011. Livestock market data: Collection, dissemination and use in Tanzania. Livestock Data Innovation in Africa Brief 7. Rome, Italy: FAO.

Marten, G. C, J. S. Shenk, and F. E. Barton II, editors. 1989. Near Infrared Reflectance Spectroscopy (NIRS): Analysis of Forage Quality. U.S. Department of Agriculture, Agriculture Handbook No. 643 (revised with supplements), 110 p.

Mead, R. and Willey, R.W., 1980. The concept of a ‘land equivalent ratio’ and advantages in yields from intercropping. Experimental Agriculture, 16(03), pp.217-228.

Messina, J., Peter, B., and Snapp, S. Re-evaluating the Malawian Farm Input Subsidy Programme. N Plants Accepted (2017).

Moss, J., Morley, P., Baker, D., Al-Moadhen, H., Downie, R. 2016 Improving methods for estimating livestock production and productivity – literature review. Improving agricultural and rural statistics Technical Report Series GO-11-2016.

Mourice, S. K. et al. 2014. Maize cultivar specific parameters for decision support system for agrotechnology transfer (DSSAT) application in Tanzania. American Journal of Plant Sciences 5.6: 821.

Mueller, N. D., Gerber, J. S., Johnston, M., Ray, D. K., Ramankutty, N., & Foley, J. A. (2012). Closing yield gaps through nutrient and water management. Nature, 490 (7419), 254-257.

National Bureau of Statistics, United Republic of Tanzania, National Panel Survey 2010-2011, Agriculture questionnaire. Available from: http://go.worldbank.org/EJMAC1YDY0

Negassa, A. and Jabbar, M., 2008. Livestock ownership, commercial off-take rates and their determinants in Ethiopia. ILRI (aka ILCA and ILRAD).

Palm, C.A., Gachengo, C.N., Delve, R.J., Cadisch, G. and Giller, K.E., 2001. Organic inputs for soil fertility management in tropical agroecosystems: application of an organic resource database. Agriculture, Ecosystems & Environment, 83(1), pp.27-42.

Peng, D., Huang, J., Li., C., Liu, L., Huang., W., Wang, F. & Yang., X. Modelling paddy rice yield using MODIS data. Agric. For. Meteorol. 184, 107–116 (2014).

Pica-Ciamarra, U., Baker, D., Morgan, N., Zezza, A., Azzarri, C., Ly, C.,Nsiima, L., Nouala, S., Okello, P. & Sserugga, J. 2014. Investing in the livestock sector - why good numbers matter: a sourcebook for decision makers on how to improve livestock data. International Bank for Reconstruction and Development/The World Bank Publication: Washington D.C.

Reeves, M. C., Zhao, M. & Running, S. W. Usefulness and limits of MODIS GPP for estimating wheat yield. Int. J. Remote Sens. 26, 1403–1421 (2005).

Sapkota, T.B., Jat, M.L., Jat, R.K., Kapoor, P. and Stirling, C., 2016. Yield Estimation of Food and Non‐Food Crops in Smallholder Production Systems. In: Rosenstock, T.S., Rufino, M.C., Butterbach-Bahl, K., Wollenberg, E. and Richards, M., (Eds.) Methods for Measuring Greenhouse Gas Balances and Evaluating Mitigation Options in Smallholder Agriculture. Springer

Stuth, J., Jama, A., Tolleson, D. 2003. Direct and indirect means of predicting forage quality through near infrared reflectance spectroscopy. Field Crops Research 84, 45–56

Tittonell, P., & Giller, K. E. (2013). When yield gaps are poverty traps: The paradigm of ecological intensification in African smallholder agriculture. Field Crops Research, 143, 76-90.

van Ittersum, M. K., & Rabbinge, R. (1997). Concepts in production ecology for analysis and quantification of agricultural input-output combinations. Field Crops Research, 52 (3), 197-208.

van Ittersum, M. K., Cassman, K. G., Grassini, P., Wolf, J., Tittonell, P., & Hochman, Z. (2013). Yield gap analysis with local to global relevance—a review. Field Crops Research, 143, 4-17.

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Avila, M., 2016.  Technical Paper 5: Concepts and Methods for Economic Evaluation of Alley Farming. http://www.fao.org/wairdocs/ilri/x5546e/x5546e08.htm

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Bellon, M.R., 2001. Participatory research methods for technology evaluation: A manual for scientists working with farmers. CIMMYT.

Bellon, M.R., 2001. Participatory research methods for technology evaluation: A manual for scientists working with farmers. CIMMYT.

Block, S. and Webb, P., 2001. The dynamics of livelihood diversification in post-famine Ethiopia. Food policy, 26(4), pp.333-350.

Carter, M. R., & Barrett, C. B. (2006). The economics of poverty traps and persistent poverty: An asset-based approach. The Journal of Development Studies, 42(2), 178-199.

CIMMYT., 1988. From agronomic data to farmers recommendations. Academic training manual CIMMYT. Mexico, DF, pp.31-33. (http://repository.cimmyt.org/xmlui/bitstream/handle/10883/830/13803.pdf )

Collier, P., Radwan, S., Wangwe, S. and Wagner, A., 1986. Labour and poverty in rural Tanzania: Ujamaa and rural development in the United Republic of Tanzania.

Deaton, Angus, and Salman Zaidi. Guidelines for constructing consumption aggregates for welfare analysis. Vol. 135. World Bank Publications, 2002.

Deaton, Angus. The analysis of household surveys: a micro-econometric approach to development policy. World Bank Publications, 1997.

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Engle, C.R., 2012. Determining the profitability of an aquaculture business: using income statements and enterprise budgets. Stoneville, MS: Southern Regional Aquaculture Center.

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Filmer, D., and Pritchett, L. H. (2001). Estimating wealth effects without expenditure Data—Or tears: An application to educational enrollments in states of india. Demography, 38(1), 115-132.

Foster, J., Greer, J. and Thorbecke, E., 1984. A class of decomposable poverty measures. Econometrica: Journal of the Econometric Society, pp.761-766.

Gebremedhin, B. and M. Jaleta. 2010, September. Commercialization of smallholders: Is market participation enough. In Joint 3rd African Association of Agricultural Economists (AAAE) and 48th Agricultural Economists Association of South Africa (AEASA) Conference, Cape Town, South Africa.

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Bonjour, S., Adair-Rohani, H., Wolf, J., Bruce, N.G., Mehta, S., Prüss-Ustün, A., Lahiff, M., Rehfuess, E.A., Mishra, V. and Smith, K.R., 2013. Solid fuel use for household cooking: country and regional estimates for 1980-2010. Environmental Health Perspectives (Online), 121(7), p.784.

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Acknowledgments

The development of the Sustainable Intensification Assessment Framework Online Toolkit was led by Zachary P. Stewart, B. Jan Middendorf, and P.V. Vara Prasad building from the Sustainable Intensification Assessment Framework Guide and Manual developed by Mark Musumba, Philip Grabowski, Cheryl Palm, and Sieglinde Snapp under the guidance of the steering committee of Gundula Fischer, Bruno Gerard, Jerry Glover, Fred Kizito, Generose Nziguheba, Vara Prasad, Peter Thorne, and Bernard Vanlauwe.

This project is made possible by the generous support of the American people through the United States Agency for International Development (USAID). The contents of this website are the responsibility of the Feed the Future Sustainable Intensification Innovation Lab and do not necessarily reflect the views of USAID or the United States Government.

Suggested Citation

Stewart, Z. P., B. J. Middendorf, and P.V.V. Prasad. sitoolkit.com©. Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification, Kansas State University, Manhattan, KS, November 2018.