Affiliation:
1. Bayero University Kano
2. University of Jos
3. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT)
Abstract
Abstract
Understanding the drivers of crop yields and variability is fundamental to closing yield gaps and ensuring global food security, especially in smallholder farming systems. This study identified the major socio-economic, soil and crop management factors contributing to sorghum yield variability and yield gaps in the sorghum belt of northern Nigeria. Data on socio-economic indicators, agronomic practices, soil fertility characteristics and yields were collected through integrated agronomic panel and crop cut surveys. These surveys were conducted in two agroecological zones (i.e., Sudan and Sahel savanna zones), the sorghum production belt in Nigeria, among 144 sorghum-producing households using a multistage balanced acceptance sampling procedure. Our results showed that sorghum productivity was relatively higher (43% more) in Sudan compared to the Sahel agroecological zone. Additionally, planting density was the main factor in reducing sorghum productivity across the two zones, with a 68% and 40% yield reduction for the Sudan and Sahel Savanna agroecological zones, respectively. This suggests innovative technologies that promote optimal planting density should be encouraged in farmer extension services to close the persistent sorghum yield gaps under smallholder farming conditions in the two agroecological zones.
Publisher
Research Square Platform LLC
Reference28 articles.
1. Sorghum production in Nigeria: opportunities, constraints, and recommendations;Ahmad Yahaya M;Acta Agriculturae Scandinavica, Section B — Soil & Plant Science,2022
2. Ajeigbe, H.A., Akinseye, F.M., Ayuba, K., Jonah, J., 2018. Productivity and Water Use Efficiency of Sorghum [Sorghum bicolor (L.) Moench] Grown under Different Nitrogen Applications in Sudan Savanna Zone, Nigeria. International Journal of Agronomy 2018, e7676058. https://doi.org/10.1155/2018/7676058
3. Improving sorghum productivity under changing climatic conditions: A modelling approach;Akinseye FM;Field Crops Research,2020
4. Understanding biophysical and socio-economic determinants of maize (Zea mays L.) yield variability in eastern India;Banerjee H;NJAS - Wageningen Journal of Life Sciences,2014
5. A methodological framework that accounts for farm diversity in the prototyping of crop management systems. Application to banana-based systems in Guadeloupe;Blazy J-M;Agricultural Systems,2009