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Ayankami, T.

Publications and source records attributed to Ayankami, T..

2 recordsLinked to original sources

Breeding cassava for intercropping with cowpea: monoculture selection captures most intercrop selection gain, but targeted testing remains necessary

Intercropping dominates smallholder cassava production in sub-Saharan Africa, yet cassava breeding programs evaluate genotypes exclusively under monoculture. Despite consistently reported system-level yield advantages, cassava yield is reduced by 17 to 51% under intercropping, indicating a need to reduce this competitive disadvantage through breeding. However, the quantitative-genetic foundations of intercrop breeding remain uncharacterized for tropical root crop systems. We hypothesized that monoculture selection would capture most, but not all, genetic merit for intercropping and that a limited tester set would be sufficient if general mixing ability predominated. We evaluated 120 cassava clones previously selected under monoculture in IITA advanced yield trials, testing them under monoculture and in intercrop with two contrasting cowpea varieties across two years at Ibadan, Nigeria. Spatial mixed models quantified genetic variation, genotype by cropping system interaction, cross system genetic relationships, realized selection gain, mixing ability, tester effects, and land equivalent ratio. Intercropping reduced cassava fresh root yield by 19%, but total land equivalent ratios exceeded 1.0 for all clones, confirming a system-level land use advantage. Cassava performance under intercropping was heritable, with estimates of 0.50 to 0.75, and genotype by cropping system interaction was not significant. Genetic correlations between monoculture and intercrop performance were high and approached unity (rg = 0.92 to 0.99), and selection efficiency was 26 to 44% at 10% intensity, confirming that high genetic correlation does not guarantee effective indirect selection. Monoculture selection captured approximately two-thirds of direct intercrop gain. General mixing ability dominated, specific mixing ability was negligible, and producer effects explained 20 to 47% of intercrop variance. The two architecturally and phenologically contrasting cowpea varieties had limited influence on cassava rankings. Here, we show for the first time that cassava breeding for intercropping can retain monoculture selection during early stages while adding two representative cowpea testers at the advanced trial stage. This staged strategy aligns cassava breeding with diversified smallholder systems without creating a separate pipeline.

plant biology↗

Partitioning Genotypic and Environmental Variance of Fresh Root Yield in Provitamin A Cassava Genotypes Using Mixed Models

This study employed a multi-model statistical approach to evaluate the yield performance and environmental responsiveness of 42 provitamin A cassava genotypes across two contrasting cropping seasons. Four linear mixed models spanning BLUP-based random effects, fixed-effect genotype comparisons, genotype-by-environment interaction analysis, and variance partitioning were used to dissect phenotypic variation in fresh root yield. Months After Planting (MAP) emerged as the most influential factor, accounting for 19.82% of total variance, while genotypic effects were modest (H{superscript 2} = 4.4%) and seasonal effects reached statistical significance when accessions were treated as fixed. Residual variance dominated (70.98%), suggesting the influence of unmeasured factors such as soil properties, pest pressure, and microclimatic variation. Rainfall data revealed a stark contrast between seasons-127.38 mm in 2019/2020 versus 8.45 mm in 2020/2021 highlighting an environmental stress pattern that shaped genotype performance. Accessions IITA-TMS-IBA980581(WChk-White Check), IITA-TMS-IBA180017, and IITA-TMS-IBA180146 maintained high yields across both seasons, indicating broad adaptability, while IITA-TMS-IBA180182 and IITA-TMS-IBA180065 performed better under low-moisture conditions, suggesting drought responsiveness. These findings underscore the importance of integrating rainfall patterns and genotype-specific environmental sensitivity into cassava breeding pipelines. Future multilevel models incorporating locations and climatic data could enhance selection precision and support the development of resilient varieties for variable agroecologies.

plant biology↗