A Comparison of Biomass Production and Quality of Congo and Rhodes Grasses in Nigeria

The yield and quality of biomass produced in a growing season determine feed allocation, livestock performance, and system capacity and resilience. Congo grass (Urochloa ruziziensis, UR) and Rhodes grass (Chloris gayana, CG) are important grass species for livestock in Sub-Saharan Africa, where their high yield potential and adaptability provide leverage to mitigate persistent feed gaps. This study investigated the morphological traits, biomass yield, and nutritive value of UR and CG in the Northern Guinea Savanna of Nigeria over three years (2019–2021) to assess their biomass yield and quality responses to successive harvests. We hypothesised that UR would outperform CG in yield and quality over the study period. Grasses were established in 2019, with multiple harvests annually from four replicate plots per species. UR consistently produced more tillers and leaves per tussock and achieved significantly higher biomass and crude protein (CP) yields at each harvest (p < 0.001), averaging 32.2% and 38.4% greater biomass and CP, respectively, compared to CG. Nutritional analysis revealed that CG contained 19.4% less CP, 23.4% less metabolisable energy, and 22.7% less ash than UR, while having higher fibre fractions (p < 0.001). Overall, UR demonstrated superior productivity and nutritional value under the tested conditions, highlighting its potential as a more reliable forage option for farmers in the Northern Guinea Savanna of Nigeria.

Authors

Institutions

Publication Details

Journal
Grasses
Published
2025-11-04
DOI
https://doi.org/10.3390/grasses4040045
Citations
1
Primary Topic
Agricultural pest management studies
Type
article
Field-Weighted Citation Impact
1.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparison of Biomass Production and Quality of Congo and Rhodes Grasses in Nigeria

T. T. Akpensuen, Andrew S. Cooke, Michael R. F. Lee, M. Jordana Rivero et al.
1 citations
Grasses
Agricultural pest management studies
1.75
article

A Comparison of Biomass Production and Quality of Congo and Rhodes Grasses in Nigeria

T. T. Akpensuen, Andrew S. Cooke, Michael R. F. Lee, M. Jordana Rivero, Nenken E. Pyalson
article en
1 citations

Abstract

The yield and quality of biomass produced in a growing season determine feed allocation, livestock performance, and system capacity and resilience. Congo grass (Urochloa ruziziensis, UR) and Rhodes grass (Chloris gayana, CG) are important grass species for livestock in Sub-Saharan Africa, where their high yield potential and adaptability provide leverage to mitigate persistent feed gaps. This study investigated the morphological traits, biomass yield, and nutritive value of UR and CG in the Northern Guinea Savanna of Nigeria over three years (2019–2021) to assess their biomass yield and quality responses to successive harvests. We hypothesised that UR would outperform CG in yield and quality over the study period. Grasses were established in 2019, with multiple harvests annually from four replicate plots per species. UR consistently produced more tillers and leaves per tussock and achieved significantly higher biomass and crude protein (CP) yields at each harvest (p < 0.001), averaging 32.2% and 38.4% greater biomass and CP, respectively, compared to CG. Nutritional analysis revealed that CG contained 19.4% less CP, 23.4% less metabolisable energy, and 22.7% less ash than UR, while having higher fibre fractions (p < 0.001). Overall, UR demonstrated superior productivity and nutritional value under the tested conditions, highlighting its potential as a more reliable forage option for farmers in the Northern Guinea Savanna of Nigeria.

GrassesVol. 4(4)
University of Jos (NG), Rothamsted Research (GB), University of Lincoln (GB), Harper Adams University (GB)
Harper Adams University, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council, Natural Environment Research Council
Openalex Percentile: Top 11%
Agricultural pest management studies
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.