Bassam Lawan Abdulrahman

Dr. Bassam Lawan Abdulrahman

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 September 2019 in Field Crops Research
Verified
Journal Article
Open access
BSBello Muhammad Shehu
Bello Muhammad Shehu
Bassam Lawan AbdulrahmanBassam Lawan Abdulrahman
Bassam Lawan Abdulrahman
Jibrin JibrinJibrin Jibrin
Jibrin Jibrin
AKAlpha Kamara
Alpha Kamara
IMIbrahim B. Mohammed
Ibrahim B. Mohammed
RMRoel Merckx
Roel Merckx
• New and better fitting QUEFTS’ prediction equations for indigenous soil N, P, and K supply were developed for the Northern Nigerian Savanna. • A good correlation was observed between the observed and parameterized QUFETS predicted maize grain yield. • The QUEFTS model predicted a balanced N, P, K uptake to linearly increase with grain yield until 50-60% of the potential yield. • The QUEFTS model is a suitable tool for site-specific nutrient recommendations in maize in the Northern Nigerian Savanna.

16 April 2019 in bioRxiv
Verified
Preprint
Open access
PDF file
BSBello Muhammad Shehu
Bello Muhammad Shehu
Bassam Lawan AbdulrahmanBassam Lawan Abdulrahman
Bassam Lawan Abdulrahman
Jibrin JibrinJibrin Jibrin
Jibrin Jibrin
AKAlpha Kamara
Alpha Kamara
IMIbrahim Baba Mohammed
Ibrahim Baba Mohammed
RMRoel Merckx
Roel Merckx
Establishing balanced nutrient requirements for maize ( Zea mays L.) in the Northern Nigerian Savanna is paramount to develop site-specific fertilizer recommendations to increase maize yield, profits of farmers and avoid negative environmental impacts of fertilizer use. The model QUEFTS (QUantitative Evaluation of Fertility of Tropical Soils) was used to estimate balanced nitrogen (N), phosphorus (P) and potassium (K) requirements for maize production in the Northern Nigerian Savanna. Data from on-farm nutrient omission trials conducted in 2015 and 2016 rainy seasons in two agro-ecological zones in the Northern Nigerian Savanna (i.e. Northern Guinea Savanna “NGS” and Sudan Savanna “SS”) were used to parameterize and validate the QUEFTS model. The relations between indigenous soil N, P, and K supply and soil properties were not well described with the QUEFTS default equations and consequently new and better fitting equations were derived. The average fertilizer recovery fractions of N, P and K in the NGS were generally comparable with the QUEFTS default values, but lower recovery fractions of these nutrients were observed in the SS. The parameters of maximum accumulation ( a ) and dilution ( d ) in kg grain per kg nutrient for the QUEFTS model obtained were respectively 35 and 79 for N, 200 and 527 for P and 25 and 117 for K in the NGS zone and 32 and 79 for N, 164 and 528 for P and 24 and 136 for K in the SS zone. The model predicted a linear relationship between grain yield and above-ground nutrient uptake until yield reached about 50 to 60% of the yield potential. When the yield target reached 60% of the potential yield (i.e. 6.0 tonnes per hectare), the model showed above-ground nutrient uptake of 19.4, 3.3 and 23.0 kg N, P, and K, respectively, per one tonne of maize grain in the NGS, and 17.3, 5.3 and 26.2 kg N, P and K, respectively, per one tonne of maize grain in the SS. These results suggest an average NPK ratio in the plant dry matter of about 5.9:1:7.0 for maize in the NGS and 3.3:1:4.9 for maize in the SS. There was a close agreement between observed and parameterized QUEFTS predicted yields across the two agro-ecological zones (R 2 = 0.70 for the NGS and 0.86 for the SS). We concluded that the QUEFTS model can be used for balanced nutrient requirement estimations and development of site-specific fertilizer recommendations for maize intensification in the Northern Nigerian Savanna.

17 December 2018 in Preprints.org
Verified
Preprint
Open access
PDF file
Ismail Ibrahim GarbaIsmail Ibrahim Garba
Ismail Ibrahim Garba
Jibrin JibrinJibrin Jibrin
Jibrin Jibrin
AKAlpha Kamara
Alpha Kamara
AAAdnan Aminu Adnan
Adnan Aminu Adnan
Bassam Lawan AbdulrahmanBassam Lawan Abdulrahman
Bassam Lawan Abdulrahman
AAAdam Adam
Adam Adam
To close the nutrient-related yield gaps in maize, balanced nutrition using primary and secondary macronutrients as well as micronutrients is recommended. Multi-nutrient diagnostic field trials were conducted in Guinea Savanna of Nigeria to assess the interactive effects of macronutrients and micronutrients on maize grain yields, nutrient uptake as well as N, P and K use efficiencies. The treatments consisted of a control (zero fertilizer applied), an NPK treatment and 10 other treatments in which macronutrient (Mg, S) and/or micronutrients (B, and Zn) were added to the NPK. The experiment was laid out in Randomized Complete Block Design with 3 replications. Data collected were subjected to mixed model with nutrient management strategy as fixed effects while replication nested in location and interaction between location and nutrient management strategy as random effects. The results revealed significant effects (P < 0.05) of nutrient management strategy on maize yield, nutrient uptake and nutrient use efficiencies of N, P and K. The study revealed that yield advantage over the recommended NPK fertilizer as a result of application macronutrients and micronutrients were highest with Mg in Lere (2.4 t ha−1), S + B + Zn in Faskari (2.8 t ha−1), S + B in Doguwa (1.5 t ha−1) and S + Zn in Toro (2.4 t ha−1). Addition of Mg, S and B significantly increases macronutrient uptakes over the recommended NPK only. Agronomic use efficiency, internal utilization efficiency, apparent recovery efficiency and partial factor productivity were significantly increased with the addition of S, Mg, and B but were not improved with Zn application. It was concluded that nutrient limitations to maize in the Guinea Savanna go beyond N, P and K. This study recommends that S, Mg, and B are needed to improve maize productivity and engender improve the use efficiency of NPK fertilizers.