Publications

Dataset / Tabular

Assessment of varieties of Cassava for high yield, high dry matter and disease resistance using NCRP Trial (18 clones) in Mokwa 2019/2020 Breeding Season from gensel.c1.uyt34 and ncrri materials.MK

Kulakow, Peter; Ismail Rabbi, 'Assessment of varieties of Cassava for high yield, high dry matter and disease resistance using NCRP Trial (18 clones) in Mokwa 2019/2020 Breeding Season from gensel.c1.uyt34 and ncrri materials.MK', International Institute of Tropical Agriculture (IITA), 2020
Prediction of soil and water conservation structure impacts on runoff and erosion processes using SWAT model in the Northern Ethiopian highlands
Scientific Publication

Prediction of soil and water conservation structure impacts on runoff and erosion processes using SWAT model in the Northern Ethiopian highlands

Nigus Demelash, Chris Renschler, Hubert Holzmann, Stefan Strohmeier, Wondimu Bayu, Claudio Zucca, Feras M. Ziadat, Andreas Klik. (30/4/2018). Prediction of soil and water conservation structure impacts on runoff and erosion processes using SWAT model in the Northern Ethiopian highlands. Journal of Soils and Sediments, 18 (4), pp. 1743-1755
Scientific Publication

Field and controlled conditions screenings of some faba bean (Vicia faba L.) genotypes for resistance to the parasitic plant Orobanche crenata Forsk. and investigation of involved resistance mechanisms

Fatima Zahra Briache, Mounia Ennami, Joseph  Mbasani‑Mansi, Fatima Gaboun, Rabha Abdelwahd, Zain El Abidine Fatemi, Walid El-Rodeny, Moez Amri, Zine El Abidine Triqui, Rachid Mentag. (14/2/2019). Field and controlled conditions screenings of some faba bean (Vicia faba L. ) genotypes for resistance to the parasitic plant Orobanche crenata Forsk. and investigation of involved resistance mechanisms. Journal of Plant Diseases and Protection, pp. 1-14
Dataset / Tabular

CAFHUT SL Calculated Household Indicators

Chiputwa, Brian;Makui, Parmutia;Baraka, Paul;Gassner, Anja, 2016, "CAFHUT SL Calculated Household Indicators", https://doi.org/10.34725/DVN/7ZSODF, World Agroforestry - Research Data Repository, V3, UNF:6:9FHHo+YhICL02lvMDD59Fg== [fileUNF]