000			03417nam a22004217a 4500
001			69847
003			MX-TxCIM
005			20260126144245.0
008			260126s2025 ||||| |||| 00| 0 eng d
040			_aMX-TxCIM
041			_aeng
100	1		_aMulungu, K.H. _8001714131 _gSustainable Agrifood Systems _933325
245	1	0	_aSmall seed packs, big potential? Effect of seed packs on knowledge and adoption of improved crop varieties : _btechnical report
260			_a[Place of publication not identified] : _bCIMMYT, _c2025.
300			_a28 pages
500			_aOpen Access
520			_aSmall seed packs are widely distributed to promote improved crop varieties, yet their effectiveness remains contested. This study evaluates how small seed packs influence knowledge and adoption of improved legumes, cereals, and vegetables among smallholder farmers in Tanzania and Zambia. Using mobile phone survey data from 1,577 respondents (840 in Tanzania, 737 in Zambia) and entropy balancing and machine learning to address self-selection, we uncover evidence of seed pack effectiveness across different crops. Seed packs significantly increased farmers technical knowledge scores for biofortified iron beans, cowpeas and improved traditional African vegetables by in both countries. Notably, while seed packs showed minimal impact on drought-tolerant maize (DTM) knowledge—reflecting high baseline awareness—they still significantly increased DTM adoption, revealing distinct knowledge-transfer and experiential-learning pathways through which seed packs influence farmer behavior. Adoption impacts were substantial across all crops: seed packs increased adoption likelihood by 10-16 pp for legumes and 9-13 pp for cereals in Tanzania, with slightly smaller but significant effects for vegetables (5-9 pp). Similar adoption gains were observed in Zambia (9-11 pp for legumes, and about 12 pp for DTM). These consistent positive effects across different crops and contexts, robust to alternative estimation approaches, confirm that small seed packs represent a promising demand creation mechanism for improved germplasm, with particularly strong impacts for crops where farmers have limited prior exposure, but persistent adoption benefits even for familiar technologies but with low baseline adoption.
546			_aText in English
597			_fScaling for Impact _dCGIAR Trust Fund
650		7	_aSmallholders _2AGROVOC _91763
650		7	_aDemand _2AGROVOC _99096
650		7	_aImproved germplasm _2AGROVOC _934339
650		0	_aMachine learning _2AGROVOC _911127
650		7	_aEntropy _2AGROVOC _940511
651		7	_aUnited Republic of Tanzania _2AGROVOC _94101
651		7	_aZambia _2AGROVOC _94309
700	0		_aSubakanya Mitelo _8001713985 _gFormerly Sustainable Agrifood Systems _920491
700	1		_aSetimela, P.S. _gSustainable Agrifood Systems _8INT2636 _9846
700	1		_aAkpo, E. _8001713988 _gGlobal Maize Program _930015
700	1		_8001712096 _aChivasa, W. _gGlobal Maize Program _919858
700	1		_aGethi, J. _gGlobal Maize Program _8INT3343 _9927
700	1		_8001713480 _aChiduwa, M.S. _gSustainable Agrifood Systems _929879
700	1		_aSigalla, J. _941147
700	1		_aMvungi, H. _938101
700	1		_aNgoma, H. _8001712572 _gSustainable Agrifood Systems _915771
856	4		_yOpen Access through DSpace _uhttps://hdl.handle.net/10883/36843
942			_cRE _n0 _2ddc
999			_c69847 _d69839