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From best fit technologies to best fit scaling: incorporating and evaluating factors affecting the adoption of grain legumes in Sub-Saharan Africa.
Sub-Saharan Africa is characterised by diverse and heterogeneous environments
(World Bank, 2009), languages, cultures, institutions and histories (Hopkins, 2009)
and farming systems (Giller et al., 2011b; Tittonell et al., ...
A decade of Tropical Legumes projects: Development and adoption of improved varieties, creation of market-demand to benefit smallholder farmers and empowerment of national programmes in sub-Saharan Africa and South Asia
This article highlights 12 years (2007–2019) of research, achievements, lessons learned, challenges and gaps in discovery‐to‐delivery research in legumes emanating from three projects, collectively called Tropical Legumes ...
Sowing density effect on common bean leaf area development
Sowing density is a major management factor that affects growth and development of grain
crops by modifying the canopy light environment and interplant competition for water and
nutrients. While the effects of sowing ...
Is rainfed agriculture really a pathway from poverty?
Agriculture’s potential to reduce poverty at household level is explored for rainfed crop production in
Africa and India. A literature survey of crop improvement and natural resource management interventions
demonstrates ...
Identification of SNP and SSR Markers in Finger Millet Using Next Generation Sequencing Technologies
Finger millet is an important cereal crop in eastern Africa and southern India with excellent
grain storage quality and unique ability to thrive in extreme environmental conditions. Since
negligible attention has been paid ...
CicArVarDB: SNP and InDel database for advancing genetics research and breeding applications in chickpea
Molecular markers are valuable tools for breeders to help accelerate crop improvement. High throughput sequencing technologies facilitate the discovery of large-scale variations such as single nucleotide polymorphisms ...
Genome-Enabled Prediction Models for Yield Related Traits in Chickpea
Genomic selection (GS) unlike marker-assisted backcrossing (MABC) predicts breeding
values of lines using genome-wide marker profiling and allows selection of lines prior
to field-phenotyping, thereby shortening the breeding ...
Understanding variability in soybean yield and response to P-fertilizer and rhizobium inoculants on farmers' fields in northern Nigeria
Soybean yields could benefit from the use of improved varieties, phosphate-fertilizer and rhizobium inoculants. In this study, we evaluated the results of widespread testing of promiscuous soybean varieties with four ...
Genomic resources for pigeonpea
Pigeonpea is increasingly playing a
critical role in the lives of many farmers in
the semi-arid tropics, where it is grown for
both subsistence and commercial use. The
recent availability of genomic resources
opened a new ...
Host plant resistance to insect pests in pigeonpea: Potential and limitations
Host plant resistance to insects is one of the components of pest management in pigeonpea. Considerable progress has been made in developing techniques to screen for resistance to Helicoverpa armigera. However, some of ...