Climate change is expected to aggravate the effects of drought, heat and combined drought and heat stresses. An important step in developing ‘climate smart’ maize varieties is to identify germplasm with good levels of tolerance to the abiotic stresses. The primary objective of this study was to identify landraces with combined high yield potential and desirable secondary traits under drought, heat and combined drought and heat stresses. Thirty-three landraces from Burkina Faso (6), Ghana (6) and Togo (21), and three drought-tolerant populations/varieties from the Maize Improvement Program at the International Institute of Tropical Agriculture were evaluated under three conditions, namely managed drought stress, heat stress and combined drought and heat stress, with optimal growing conditions as control, for two years. The phenotypic and genetic correlations between grain yield of the different treatments were very weak, suggesting the presence of independent genetic control of yield to these stresses. However, grain yield under heat and combined drought and heat stresses were highly and positively correlated, indicating that heat-tolerant genotypes would most likely tolerate combined drought and stress. Yield reduction averaged 46% under managed drought stress, 55% under heat stress, and 66% under combined drought and heat stress, which reflected hypo-additive effect of drought and heat stress on grain yield of the maize accessions. Accession GH-3505 was highly tolerant to drought, while GH-4859 and TZm-1353 were tolerant to the three stresses. These landrace accessions can be invaluable sources of genes/alleles for breeding for adaptation of maize to climate change.

Maize landrace accessions constitute an invaluable gene pool of unexplored alleles that can be harnessed to mitigate the challenges of the narrowing genetic base, declined genetic gains, and reduced resilience to abiotic stress in modern varieties developed from repeated recycling of few superior breeding lines. The objective of this study was to identify extra-early maize landraces that express tolerance to drought and/or heat stress and maintain high grain yield (GY) with other desirable agronomic/morpho-physiological traits. Field experiments were carried out over two years on 66 extra-early maturing maize landraces and six drought and/or heat-tolerant populations under drought stress (DS), heat stress (HS), combined both stresses (DSHS), and non-stress (NS) conditions as a control. Wide variations were observed across the accessions for measured traits under each stress, demonstrating the existence of substantial natural variation for tolerance to the abiotic stresses in the maize accessions. Performance under DS was predictive of yield potential under DSHS, but tolerance to HS was independent of tolerance to DS and DSHS. The accessions displayed greater tolerance to HS (23% yield loss) relative to DS (49% yield loss) and DSHS (yield loss = 58%). Accessions TZm-1162, TZm-1167, TZm-1472, and TZm-1508 showed particularly good adaptation to the three stresses. These landrace accessions should be further explored to identify the genes underlying their high tolerance and they could be exploited in maize breeding as a resource for broadening the genetic base and increasing the abiotic stress resilience of elite maize varieties.

Drought, heat, and combined drought and heat are important abiotic stresses constraining the production and productivity of maize ( Zea mays L.) in sub-Saharan Africa (SSA). In the face of climate change, these stresses are likely to occur simultaneously and put at risk food and economic security in SSA. This review describes maize breeding activities conducted by the International Institute of Tropical Agriculture (IITA) in partnership with national scientists under the Drought Tolerant Maize for Africa (DTMA) and Stress Tolerant Maize for Africa (STMA) projects, which together sought to develop and deploy multiple stress tolerant hybrids, and open-pollinated varieties. Emphasis was on (i) developing a reliable methodology for screening maize for tolerance to drought stress (DS), heat stress (HS), and combined drought and heat stress (CDHS) using key secondary traits and grain yield, (ii) use of appropriate breeding techniques for tailoring maize for tolerance to DS, HS and CDHS, (iii) exploring diverse sources of germplasm for genetic enhancement of maize, (iv) extensive multilocational evaluation to identify genotypes with stable performance under the stresses, and (v) application of genomic tools to accelerate genetic gains in maize breeding at IITA. At IITA, the performance of maize hybrids under stresses of DS, HS and CDHS have been improved using conventional breeding techniques/procedures. These techniques/ procedures have led to accelerated genetic gains in yield that were 26–49% higher than the best commercial hybrid checks under CDHS and DS. Additive gene action has been consistently found to be more important than the non-additive among early maize under DS and CDHS while both the additive and non-additive have been reported to be important for the extra-early maize. The most reliable secondary traits for selecting for improved grain yield under the stresses include anthesis-silking interval, ears per plant, and plant and ear aspects. Several early and extra-early landraces have been identified as potential sources of tolerance to DS, HS, and CDHS. Several quantitative trait loci (QTLs) associated with grain yield and key secondary traits have been identified via genome-wide association studies in landraces and inbred lines. Those desirable QTLs, upon validation, could be invaluable for genomics-enabled breeding.

Genetic adaptation of maize to the increasingly unpredictable climatic conditions is an essential prerequisite for achievement of food security and sustainable development goals in sub-Saharan Africa. The landraces of maize; which have not served as sources of improved germplasm; are invaluable sources of novel genetic variability crucial for achieving this objective. The overall goal of this study was to assess the genetic diversity and population structure of a maize panel of 208 accessions; comprising landrace gene pools from Burkina Faso (58), Ghana (43), and Togo (89), together with reference populations (18) from the maize improvement program of the International Institute of Tropical Agriculture (IITA). Genotyping the maize panel with 5974 DArTseq-SNP markers revealed immense genetic diversity indicated by average expected heterozygosity (0.36), observed heterozygosity (0.5), and polymorphic information content (0.29). Model-based population structure; neighbor-joining tree; discriminant analysis of principal component; and principal coordinate analyses all separated the maize panel into three major sub-populations; each capable of providing a wide range of allelic variation. Analysis of molecular variance (AMOVA) showed that 86% of the variation was within individuals; while 14% was attributable to differences among gene pools. The Burkinabe gene pool was strongly differentiated from all the others (genetic differentiation values >0.20), with no gene flow (Nm) to the reference populations (Nm = 0.98). Thus; this gene pool could be a target for novel genetic variation for maize improvement. The results of the present study confirmed the potential of this maize panel as an invaluable genetic resource for future design of association mapping studies to speed-up the introgression of this novel variation into the existing breeding pipelines.

Germplasm characterization and evaluation are essential for the genetic improvement of crops. In this study, a collection of 204 groundnut accessions including 13 checks held by Plant Genetic Resources Research Institute, Ghana were evaluated under optimal conditions for 2 years. The objectives were to characterize the groundnut collection using 18 qualitative and 14 quantitative traits and to determine the relationships between the traits. Combined analysis of variance based on augmented design revealed significant differences (P < 0.05) among the accessions for majority of the traits. Results of principal component analysis showed that all the quantitative traits were relevant in discriminating the accessions. Primary seed colour was the most diverse qualitative trait based on Shannon diversity index (n = 0.77). Frequency distribution analysis showed predominance of decumbent growth habit and pale tan seeds. Cluster analysis using qualitative traits identified five major groups of accessions and three each based on quantitative traits and joint analysis of quantitative and qualitative traits. Number of main branches (NMB) and pod width (PW) appeared the most important traits with positive contribution to yield based on correlation and path coefficient analysis. Ten promising trait-specific accessions were identified for earliness along with desirable pod and seed traits. GH 9672 and GH 9665 were identified as promising for higher grain and fodder yield. Five accessions (GH 9833, GH 9829, GH 9830, GH 9835 and GH 9750) produced ~5–30% more grain yield than the best check. This study underscored ample phenotypic variation that would ultimately be exploited for genetic improvement of groundnut.

Soybean ( Glycine max [L.] Merr.) harvesting in Ghana is predominantly manual, and labor shortages frequently delay harvest beyond physiological maturity, exacerbating shattering losses. Mechanization could mitigate these losses, but effective combine harvesting requires cultivars with elevated first pod height (FPH) to minimize header losses. Twenty soybean genotypes were screened across three environments (2022–2023), from which three early‐maturing candidate varieties (ENT1, ENT3, and ENT4 where ENT is Experimental Entry [Candidate Variety Code]) were advanced into a six‐environment validation trial (2024). Genotype performance was evaluated using analysis of variance and genotype + genotype × environment (GGE) biplots, while participatory varietal selection (PVS), proximate analysis, sensory evaluation, and benefit‐cost analysis were employed to assess farmer preference, end‐use quality, and economic viability for adoption. Genotypic differences were highly significant ( p ≤ 0.001) for FPH and grain yield (GY) in both screening and validation trials. Genotype × environment interactions were nonsignificant for all traits in the validation trials, confirming success in selection. The candidate varieties exhibited FPH > 15 cm and GY of ∼2686–2778 kg ha ⁻¹ , representing a 60%–66% yield advantage over the check (FPH = 4.5 cm; GY = ∼1678 kg ha ⁻¹ ). GGE biplot analysis supported ENT3 and ENT4 as high‐performing and stable, with ENT4 ranking highest under PVS involving 540 farmers. Candidate varieties matched the checks for protein and oil concentrations and maintained acceptability for soy milk and tofu. Benefit‐cost ratios were higher for the candidate varieties (1.60–1.64) than the check (0.98), confirming economic viability. These results support ENT1, ENT3, and ENT4 as promising candidate varieties possessing mechanized harvest‐enabling traits for future on‐farm combine‐harvest validation in Ghana.