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Timler, Carl J.Michalscheck, MirjaÁlvarez, S.Descheemaeker, KatrienGroot, Jeroen C.J.[Exploring options for sustainable intensification through legume integration in different farm types in eastern Zambia]Exploring options for sustainable intensification through legume integration in different farm types in eastern Zambia

The term "participatory crop improvement" is used to cover all aspects of crop improvement where farmers are involved in a participatory role. In this paper, we describe the approach and results for participatory crop improvement in wheat, in Luna Wada sub district, Gujarat, India. Nine villages ...


Virk, Daljit S.Harris, D.Raghuwanshi, B.S.Raj, A.G.BSodhi, P.S.Witcombe, John R.[A holistic approach to participatory crop improvement in wheat]A holistic approach to participatory crop improvement in wheat

This chapter assessed the influence of socioeconomic factors, plot characteristics, food security, and climatic variables on the adoption of Climate-Smart Agriculture (CSA) technologies in southern Tanzania. Using data collected from 357 households and 464 agricultural plots, a multivariate probi...


Mwungu, Chris MiyinziMwongera, CarolineShikuku, KelvinAcosta, MariolaLäderach, Peter[Determinants of Adoption of Climate-Smart Agriculture Technologies at Farm Plot Level: An Assessment from Southern Tanzania]Determinants of Adoption of Climate-Smart Agriculture Technologies at Farm Plot Level: An Assessment from Southern Tanzania

Climate-smart agriculture (CSA) has three goals—productivity, resilience and mitigation. Rarely are these accounted for in CSA programming or the scientific evidence that supports it. Here, we evaluate the climate smartness of CSA-based agroforestry practices in Tabora and Dodoma, Tanzania using ...


Kimaro, Anthony A.Sererya, Ogossy G.Matata, PeterUckert, GötzHafner, JohanesGraef, FriederSieber, StefanRosenstock, Todd S.[Understanding the multidimensionality of climate-smartness: Examples from agroforestry in Tanzania]Understanding the multidimensionality of climate-smartness: Examples from agroforestry in Tanzania
Olanya, M.Nyankanga, R.Ojiambo, P.Lemaga, B.Kakuhenzire, R.Fontem, D.[Optimization of late blight and bacterial wilt management in potato production systems in the highland tropics of Africa.]Optimization of late blight and bacterial wilt management in potato production systems in the highland tropics of Africa.

The Earth’s climate is changing at unprecedented rates, largely due to anthropogenic factors (IPCC 2007). This, together with other drivers such as population increases and increased demand for crop and livestock products, is causing agro-ecosystems to evolve faster than previously expected. Thes...


Herrero, Mario T.Thornton, Philip K.[The role of multi-scale modeling in assessing livelihood adaptation strategies to climate change]The role of multi-scale modeling in assessing livelihood adaptation strategies to climate change
Rusike, J.Boahen, S.Dashiell, Kenton E.Kantengwa, S.Ongoma, J.Mongane, D.M.Kasongo, G.[Supply and demand drivers of the sustainable intensification of farming systems through grain legumes in Central, Eastern an Southern Africa]Supply and demand drivers of the sustainable intensification of farming systems through grain legumes in Central, Eastern an Southern Africa

Most of the population in sub-Saharan Africa depends on agriculture for livelihood, which is mainly practiced by resource-constrained smallholder farmers. Due to persistent low crop yields, food and nutrition insecurity, farmers have been opening new lands through deforestation or encroachment in...


Masso, C.Nziguheba, GeneroseMutegi, J.Galy-Lacaux, C.Wendt, J.Butterbach-Bahl, KlausWairegi, L.W.I.Datta, A.[Soil fertility management in sub-Saharan Africa]Soil fertility management in sub-Saharan Africa

Jarvis, Devra I.Hodgkin, T.Brown, A.H.D.Tuxill, J.López Noriega, IsabelSmale, M.Sthapit, B.R.[Farm, community, and landscape: genetic diversity and selection pressures at different social, spatial, and temporal scales]Farm, community, and landscape: genetic diversity and selection pressures at different social, spatial, and temporal scales

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