Maize (
Zea mays L.), commonly known as corn, is one of the world’s most widely grown cereals, ranked third in production after wheat and rice
(Subba et al., 2022). It is the cornerstone of food security in sub-Saharan Africa, providing 30-50% of daily caloric intake in Southern Africa
(Galani et al., 2022). In Zimbabwe, smallholder farmers produce 60-70% of the national crop (
CLAFA-2, 2025), with the grain primarily consumed as
sadza-a thick white porridge of profound cultural significance (
Serna-Saldivar, 2016). Despite this centrality, a fundamental disconnect persists between how maize is bred and how it is ultimately used and valued.
Zimbabwe’s maize breeding programs have historically prioritized agronomic traits: grain yield, drought tolerance, disease resistance and early maturity
(Mukaro et al., 2024; Nyakurwa et al., 2017). While these objectives are justified given the imperative of food availability in a climate-vulnerable region, they have systematically neglected milling and nutritional quality. Milling quality encompasses grain characteristics affecting dry-milling efficiency and the organoleptic properties of
sadza, directly influencing consumer preferences
(Abdala et al., 2018). Food security addresses not only calorie availability but also nutrient availability
(Kujur et al., 2025). Nutritional quality refers to protein quality and micronutrient content-provitamin A, zinc and iron (
Goredema-Matongera et al., 2021). With maize dominating daily diets, its nutritional density carries serious public health implications, particularly in communities with limited dietary diversity
(Kairiza et al., 2020).
The recognition of conventional maize’s nutritional deficiencies spurred biofortification efforts. Quality Protein Maize (QPM), developed using the
opaque-2 mutation, offers improved protein quality
(Amegbor et al., 2022). Provitamin A-enriched orange maize addresses vitamin A deficiency, while high-zinc maize is under development
(Matongera et al., 2023). Despite demonstrated nutritional efficacy, adoption in Zimbabwe remains minimal. Farmers overwhelmingly continue producing conventional white maize due to deep cultural preference for white grain (orange maize is often associated with animal feed); the “invisibility” of nutritional traits; absence of price premiums; seed system constraints; and concerns about nutrient stability during storage and processing
(Nkhata et al., 2024; Malézieux et al., 2024).
While biofortification represents a long-term strategy, conventional white maize will dominate Zimbabwean diets for the foreseeable future. Yet the nutritional and milling quality of new white hybrids remains unexamined. Extensive hybridization and selection for yield and stress tolerance can inadvertently alter grain composition (
Alvarez-Iglesias et al., 2021). Traits such as endosperm hardness, protein content and micronutrient concentrations are genetically variable and can shift through breeding. Critically, Zimbabwe’s variety release system does not require nutritional or milling quality assessments; a hybrid can be approved on agronomic performance alone.
This review synthesizes existing literature to: (i) trace the evolution of maize breeding objectives in Zimbabwe from the colonial era to present; (ii) evaluate biofortification programs (QPM, provitamin A, zinc), assessing achievements and adoption barriers; (iii) analyze the socio-economic and cultural drivers of milling quality preference among farmers, millers and consumers; and (iv) identify research gaps in the evaluation of new white maize hybrids and propose an integrated framework for future research that bridges the divide between agronomic performance and end-use quality.
Conceptual framework: understanding maize quality beyond yield
Defining milling quality
Milling quality refers to dry-milling efficiency and the characteristics of the resulting mealie-meal, determined by interacting grain physical and biochemical properties
(Abdala et al., 2018; Borrás et al., 2022). Key determinants include endosperm hardness (vitreousness), where hard glossy endosperm yields efficient milling and acceptable
sadza, while soft endosperm produces culturally unacceptable pasty results (
Borrás et al., 2022); kernel density and test weight, indicating hardness and milling yield; pericarp thickness, where thinner pericarp improves bran separation and extraction rate; optimal moisture content of 12.5-15% (
Suri and Tanumihardjo, 2016) and kernel size uniformity, reducing waste and improving consistency. In Zimbabwe, the ultimate test of a maize variety is sadza: firm, cohesive, non-sticky, with a grainy texture
(Chimonyo et al., 2019). Varieties failing this face consumer rejection regardless of yield potential.
Defining nutritional quality
Maize is the source of the cheapest nutrients, though its nutritional quality is strengthened with a combination of other food materials (
Yadav et al., 2025). Maize protein (6-12%) is deficient in lysine and tryptophan, contributing to malnutrition in maize-dependent populations
(Kaur et al., 2020). Conventional white maize is also low in provitamin A, iron and zinc, fuelling hidden hunger; biofortification aims to raise these levels
(Matongera et al., 2023). Phytates reduce mineral bioavailability, while provitamin A degrades during storage and processing
(Huey et al., 2023).
The interconnectedness of milling and nutritional quality
The dry-milling process removes the germ and bran, where most micronutrients concentrate (iron, zinc, lipids, fat-soluble vitamins)
(Galani et al., 2022), depleting the refined product nutritionally. Biofortification must therefore account for nutrient losses during milling (
Palacios-Rojas et al., 2020). Meaningful hybrid evaluation must simultaneously consider milling performance and nutritional outcomes within Zimbabwe’s specific production and consumption context.
This framework guides the analysis that follows, emphasizing that meaningful hybrid evaluation must simultaneously consider milling performance and nutritional outcomes within Zimbabwe’s specific context.
Historical evolution of maize breeding in Zimbabwe: from yield-only to multi-trait approaches
The colonial era and SR52 legacy
Commercial maize breeding in Southern Rhodesia began in the 1930s, following the development of maize hybrids in the United States (
de Haas and Giller, 2016). The program, initially serving large-scale commercial farmers, produced SR52 in the 1960s-Africa’s first single-cross hybrid for tropical environments. SR52 offered exceptional yield potential and standability, becoming the regional benchmark and establishing Zimbabwe as a maize improvement leader (
Derera and Musimwa, 2015). However, SR52 was designed for high-input systems, ill-suited to resource-constrained smallholders relegated to marginal lands under colonial tenure. This created a bifurcated seed system: high-yielding hybrids for commercial farmers versus unimproved landraces for smallholders.
Post-independence: expanding access
Following independence in 1980, the government prioritized expanding smallholder access to improved varieties. The national breeding program (Department of Research and Specialist Services) shifted focus to varieties for low-input, heterogeneous smallholder conditions
(Mukaro et al., 2024). The 1980s-1990s saw releases of open-pollinated varieties and hybrids emphasizing yield stability, drought tolerance, disease resistance (MSV, GLS, TLB), lodging resistance and husk cover. These objectives boosted productivity but entrenched a yield-centric paradigm, with quality traits remaining secondary.
The shift to participatory approaches
The late 1990s-2000s recognized that station-bred varieties often failed on smallholder farms due to environmental heterogeneity and farmer preference diversity. Participatory variety selection (PVS) emerged, engaging farmers as co-evaluators under their own management conditions (
Begna, 2022). PVS studies in Zimbabwe
(Magaisa et al., 2022; Nyakurwa et al., 2022) revealed that farmers’ criteria diverged from breeders’ priorities; they valued grain hardness, white color and taste alongside yield and stress tolerance. These findings provided early evidence that quality traits influence adoption yet have not been systematically integrated into breeding objectives.
Current breeding objectives
Contemporary maize breeding in Zimbabwe, led by the Crop Breeding Institute in partnership with the International Maize and Wheat Improvement Center (CIMMYT) and the International Institute of Tropical Agriculture (IITA), has broadened beyond yield (Table 1). Key observations:
• Milling quality is addressed indirectly (
e.g., “flint or semi-flint grain” as farmer preference), without direct targets for extraction rate, processing energy, or sadza sensory traits.
• Nutritional traits are pursued mainly in dedicated bio fortification programs; conventional white hybrids are not systematically screened for nutritional content.
• On-farm evaluation through PVS emphasizes agronomic performance and farmer rankings, rarely incorporating miller input or laboratory grain quality analysis
(Mukaro et al., 2024).
Biofortification in Zimbabwe: progress, adoption barriers and lessons learned
Scientific basis and development
The 1960s discovery of the opaque-2 mutation increased endosperm lysine and tryptophan by 69% over conventional maize, dramatically improving protein quality
(Kaur et al., 2020). However, original mutants had soft, chalky endosperm, increased pest susceptibility and lower yield. Decades of CIMMYT breeding introgressed modifier genes to restore hard, vitreous endosperm while retaining the nutritional advantage, resulting in QPM that combines improved protein quality with agronomic performance comparable to conventional maize
(Prasanna et al., 2020).
QPM in Zimbabwe: Releases and adoption
CIMMYT has been the primary QPM germplasm source, with CBI developing locally adapted varieties, releasing OPVs ZS 242 and ZS 243 and hybrids SC527 and SC643 (
FAO, 2024;
Setimela et al., 2017). Studies confirm QPM diets, with ~30% more lysine and ~55% more tryptophan, improved children’s growth outcomes
(Kairiza et al., 2020; Prakash et al., 2017).
Despite proven efficacy, adoption remains limited and project-driven rather than commercially widespread
(Maqbool et al., 2021). Key barriers include:
•
Trait invisibility: QPM is visually identical to conventional white maize, so farmers cannot perceive the nutritional advantage without price premiums or incentives.
•
Lack of market differentiation: Grain aggregators and millers do not distinguish QPM, meaning nutritional benefits reach consumers but not farmers’ incomes.
•
Yield perceptions: Although modern QPM hybrids have narrowed yield gaps, persistent perceptions of yield disadvantage discourage adoption
(Tandzi et al., 2017).
•
Seed system constraints: QPM seed production requires careful management to maintain the opaque-2 trait; contamination with conventional pollen can reduce nutritional quality.
•
GMO confusion: Despite being conventionally bred, QPM is sometimes mistaken for GM maize, generating unwarranted scepticism.
Critical evaluation
The QPM experience demonstrates that nutritional improvement alone is insufficient to drive adoption; traits must be bundled with other farmer-valued characteristics and institutional innovations (market linkages, quality assurance) are as important as genetic ones. Some economists question whether QPM investment represents the most cost-effective nutrition intervention, arguing that dietary diversification (legumes, animal-source foods) offers more holistic solutions (
Pingali, 2015). This critique has merit but overlooks that for many resource-constrained households, maize will remain the dietary foundation for the foreseeable future; improving its nutritional quality remains a legitimate public health priority
.
Provitamin A maize
Scientific basis and development
Vitamin A deficiency (VAD) causes impaired immunity, increased mortality and preventable blindness, particularly among children and pregnant women in Zimbabwe (
Goredema-Matongera et al., 2021). Breeding programs, led globally by HarvestPlus and implemented in Zimbabwe through CBI and CIMMYT, have developed maize varieties with elevated provitamin A content (
HarvestPlus, 2015). Targeted levels of ~7.5 ppm are sufficient to meet 25% of daily vitamin A requirements
(Kairiza et al., 2020). SC 642, released by Seed Co, was Zimbabwe’s first provitamin A hybrid, identifiable by its orange grain color (
HarvestPlus, 2015).
Adoption barriers: The color challenge
Zimbabwe’s deep cultural preference for white maize remains the greatest adoption barrier, as orange or yellow maize is associated with animal feed or inferior quality. Though blind taste tests showed consumer acceptance increases with nutritional information. Hence real-world adoption requires sustained behaviour change communication, which remains inconsistently implemented.
Nutrient stability concerns
A second significant concern is the stability of provitamin A carotenoids during storage and processing. Beta-carotene is susceptible to oxidative degradation during storage and processing under high temperatures and light exposure, with substantial provitamin A losses documented post-harvest
(Syawalluddin et al., 2024; Hamieh et al., 2023). A variety may test high at harvest but deliver diminished nutritional impact upon consumption. Breeding programs must therefore select for both high initial Provitamin A content and carotenoid stability under typical post-harvest conditions.
Cost-effectiveness debate
Provitamin A maize has faced critiques regarding cost-effectiveness.
Malézieux et al. (2024) argue that over-reliance on a single biofortified staple may divert resources from dietary diversification, which addresses multiple deficiencies simultaneously. Other vitamin A-rich foods, such as orange-fleshed sweet potato, mangoes, dark leafy greens and animal-source foods, are available and should be promoted. Biofortification should therefore complement, not substitute for, dietary diversification efforts.
Zinc biofortification
Current status
Zinc deficiency impairs immune function, growth and development, contributing significantly to the global burden of disease
(Lowe et al., 2024). Biofortification of maize with zinc is technically more challenging than provitamin A enhancement because zinc content is not visually discernible; laboratory analysis is required to verify trait expression. The HarvestPlus program has established a target of 38 ppm zinc in maize grain (
HarvestPlus, 2015).
In Zimbabwe, high-zinc breeding lines are in the early stages of testing and adaptation by CBI
(Matongera et al., 2023). The trait is often being ‘stacked’ with other biofortified traits, developing varieties that combine provitamin A, QPM and high zinc in a single genetic background
(Matongera et al., 2023).
Methodological challenges
Zinc biofortification faces key challenges:
•
Soil dependency: Genetic potential for grain zinc is limited by soil zinc availability. High-zinc varieties may underperform on zinc-deficient soils common in smallholder systems, requiring agronomic biofortification (zinc-enriched fertilizers) to ensure consistency (
Manzeke-Kangara et al., 2021).
•
Health impact measurement: Zinc deficiency is hard to diagnose at population level due to non-specific symptoms; linking health improvements to biofortified maize requires costly, rigorous studies with advanced biomarkers
(Khan et al., 2022).
•
Marketing invisibility: Like QPM, zinc-enriched maize lacks visual or taste differentiation. Creating market incentives would require certification and labeling systems that do not yet exist.
Milling quality: The neglected trait
Grain physical traits and milling outcomes
Milling quality encompasses grain characteristics determining dry-milling efficiency and the organoleptic properties of the final product. In Zimbabwe, where 95% of maize is consumed as refined white mealie-meal
(Melesse et al., 2021), the ultimate expression of milling quality is sadza quality, characterized by firmness, cohesiveness, non-stickiness, grainy texture and white color.
These sensory properties are directly influenced by grain physical traits. Hard endosperm genotypes produce larger, coarser particles during milling, rehydrating into firm, non-sticky sadza. Soft endosperm genotypes yield more fine particles, producing a pasty, sticky consistency considered low-quality (
Borrás et al., 2022;
Chimonyo et al., 2019). Key traits include endosperm hardness (vitreousness), affecting grit yield, fines and energy use; measured via the Stenvert test, NIRS, or floatation methods; test weight, indicating kernel soundness; kernel uniformity and shape; pericarp thickness and optimal moisture content (12.5-15%) for dry milling
(Walker et al., 2023).
Economic and cultural drivers
Milling quality has direct economic consequences. Farmers benefit from price premiums and reject varieties with poor sadza quality. Millers prioritize extraction rate, as hard endosperm reduces costs and increases premium output
(Walker et al., 2023). Consumers influence demand through brand loyalty in urban markets and satisfaction with home-processed grain in rural areas.
Despite these clear drivers, milling quality is not systematically evaluated in Zimbabwe’s variety testing protocols. The phenotyping bottleneck, requiring larger grain samples and specialized equipment, is a partial explanation. However, with NIRS offering rapid, non-destructive prediction of grain quality traits, this bottleneck is now surmountable
(Alamu et al., 2021; DeSalvio et al., 2024).
The nutritional trade-off in milling
A critical and often overlooked aspect is the relationship between milling and nutritional outcomes. Producing refined white mealie-meal, the culturally preferred product, requires removing the germ and bran fractions, precisely where micronutrients (iron, zinc, lipids, B vitamins) are concentrated
(Galani et al., 2022; Suri and Tanumihardjo, 2016). Milling removes approximately 50-80% of iron and zinc.
For provitamin A maize, this trade-off is particularly concerning, as carotenoids concentrate in the germ. If milling removes the germ, much of the nutritional investment is lost.
Palacios-Rojas et al. (2020) emphasize that biofortification breeding must consider nutrient retention after milling and cooking, varieties concentrating provitamin A in the endosperm, rather than the germ, may be preferable.
This milling-nutrition trade-off has profound implications: biofortification alone is insufficient if nutrients are removed during processing. Milling and nutritional quality must be evaluated together, with processing studies assessing nutrient retention under typical milling and cooking conditions as part of variety evaluation protocols.
The research gap
The preceding analysis reveals a fundamental gap in Zimbabwe’s maize research and development system: new white maize hybrids are released without empirical data on their milling quality or nutritional content. This gap persists despite evidence that hybridization and selection for agronomic traits can alter grain composition. Studies have documented significant genetic variation in protein content, amino acid profiles, micronutrient concentrations and endosperm hardness among maize genotypes (
Alvarez-Iglesias et al., 2021;
Goredema-Matongera et al., 2023;
Iljkić et al., 2025). Breeding for yield, drought tolerance, or disease resistance may have correlated effects on these quality traits, either positive or negative. The assumption that white maize hybrids are nutritionally equivalent or adequate is empirically unsupported. Several lines of evidence challenge this assumption:
Genetic variation
Maize exhibits substantial genetic diversity for kernel composition.
Langyan et al. (2021) found significant variation in protein, oil, starch and micronutrient content among maize inbred lines, indicating that breeding choices can shift composition.
Genotype × environment interaction
Nutrient content is not fixed; it varies with growing conditions.
Greveniotis et al. (2023) and
Matongera et al. (2023) demonstrated that grain quality traits are influenced by both genotype and environment and that genotype rankings for quality can change across environments. On-farm evaluation under smallholder conditions is essential to understand real-world nutritional outcomes.
Breeding trade-offs
Selection for high yield can inadvertently reduce nutrient concentration through ‘dilution effects’ if yield increases are not accompanied by proportional increases in nutrient uptake and partitioning. This has been documented for minerals in various crops, though evidence in maize is mixed.
The distinctiveness of hybrids
Each new hybrid represents a novel combination of alleles. Assuming that its nutritional profile mirrors that of previous hybrids is scientifically unwarranted. Empirical measurement is required. This gap has two critical implications for research and policy.
Establishment of nutritional baselines
Variety release should document nutritional composition, including protein quality, zinc, iron and provitamin A. This would establish baselines, identify exceptional varieties, detect nutritional degradation and inform stakeholders. Nutritional quality assessments should be standard for all advanced hybrids, not limited to biofortified varieties. This ensures the entire maize germplasm base contributes to nutrition security.
Identification of incremental improvement opportunities
On-farm trials identify white maize varieties with superior nutrition under realistic conditions, accounting for genotype x environment interactions. Evaluating nutritional traits across locations helps identify consistent performers, understand environmental determinants and engage farmers. This approach moves beyond the white versus biofortified binary, elevating nutrition across all maize while respecting consumer preferences.
Methodological innovations: integrating quality traits into breeding programs
This section reviews innovations enabling integrated quality assessment and proposes a framework for implementation in Zimbabwe.
High-throughput phenotyping technologies
Near-Infrared Spectroscopy (NIRS) substantially reduces the phenotyping bottleneck. It rapidly predicts protein, amino acids, micronutrients and milling traits from a single sample
(Alamu et al., 2021). While requiring an initial investment, a centralized NIRS facility in Zimbabwe could enable systematic quality screening across breeding programs, universities and seed companies.
Participatory approaches to quality evaluation
Participatory variety selection complements laboratory analysis by capturing culturally specific sensory properties. Structured sadza tastings with farmers, millers and consumers generate acceptability data. PVS studies reveal farmers’ trait trade-offs, including culinary quality. Women’s perspectives on processing, cooking and sadza quality are essential and must be deliberately included
(Chopera et al., 2022).
An integrated framework for quality evaluation
Drawing on the above, we propose an integrated framework for evaluating white maize hybrids that combines laboratory phenotyping with participatory approaches:
Stage 1: Early-generation screening (breeder nurseries).
NIRS analysis of advanced lines for protein, oil, starch and hardness enables selection for acceptable quality before yield testing intensifies and identifies lines with exceptional nutritional properties.
Stage 2: Multi-location trials (research stations)
Continue NIRS analysis across environments to assess stability. Add targeted biochemical analyses (lysine/tryptophan, zinc, provitamin A) for promising materials. Measure test weight, thousand-kernel weight and other physical traits.
Stage 3: On-farm participatory evaluation
Continue NIRS across environments; Add targeted biochemistry. Measure physical traits.
Stage 4: Miller engagement
Evaluate with millers; measure extraction rate, energy; assess meal color and particle size.
Stage 5: Integrated analysis and recommendation
Synthesize data; identify varieties optimizing across criteria; develop recommendations highlighting quality.
This framework embeds quality evaluation throughout the breeding pipeline, generating data to inform breeding decisions, guide recommendations and provide transparent information to farmers and consumers.