| 1-methylcyclopropene [1] |
| Academic programmes [1] |
| ACC synthase [1] |
| ACC oxidase [1] |
| ACC oxidase, carbon dioxide, ehylene, 1-methylcyclopropene, peach, Prunus persica. [1] |
| ACC synthase [1] |
| access rates [1] |
| Acidity [1] |
| Adaptation [1] |
| Adoption [2] |
| Adulteration [2] |
| Affective [1] |
| Africa [3] |
| African Indigenous vegetables [1] |
| African indigenous vegetables [1] |
| Agricultural education. [1] |
| agricultural experiential learning [1] |
| Agricultural policy [1] |
| Agricultural value chains [1] |
| Agricultural value chains, [1] |
| Agriculture [2] |
| Agriculture teachers [1] |
| andragogy [1] |
| Anthocyanin [2] |
| Antibacterial [1] |
| Antimicrobial [2] |
| Antimicrobials [2] |
| Antioxidant [2] |
| Antioxidant, [1] |
| Aphids [1] |
| Arid and Semi Arid Counties [1] |
| Arid and semi arid lands [1] |
| Ascorbic acid [1] |
| Ascorbic acid stability [1] |
| Average Treatment Effect [1] |
| Average treatment effect [1] |
| Awareness [1] |
| B-Vitamins [1] |
| Baseline Survey Dryland Cereals [1] |
| Beacon [1] |
| Bioautography [1] |
| Biofortification [1] |
| Biofortified [1] |
| Canarium album [1] |
| carbon dioxide [1] |
| Cell-wall modifying enzymes [1] |
| Cellulose [1] |
| Chickpea adoption [1] |
| Chickpea constraints [1] |
| Chickpea yield [1] |
| Chitosan [1] |
| Citrus aurantifolia [1] |
| Climate change [1] |
| Climate change adaptation [2] |
| Climate-smart agricultural practices [1] |
| CO2 stress [3] |
| Coating formulations [1] |
| cognitive [1] |
| Coliforms [1] |
| Commercialisation [1] |
| Consumer choice [1] |
| Consumption [1] |
| COVID-19 pandemic [1] |
| Cucumber [3] |
| Cucumber; Cucumis sativus; CO2; Auxin; Ethylene [1] |
| Cucumis sativus [1] |
| Cucumis sativus [2] |
| Cultivars [2] |
| Curriculum [1] |
| Curriculum implementation [1] |
| Determinants [1] |
| Developing countries [2] |
| Development [1] |
| Diet quality [1] |
| Dietary diversity [1] |
| Digital knowledge pack [1] |
| Drought [1] |
| Dry land agriculture [1] |
| Dyadic regression [2] |
| Egerton University [2] |
| ehylene [1] |
| Employment creation [1] |
| Enterobacteriaceae [1] |
| Environmental factors [1] |
| Ethylene [2] |
| Ethylene biosynthesis [1] |
| Ethylene biosynthesis [2] |
| Experiential learning ability [1] |
| Exposure [2] |
| farm attachment [1] |
| Farm attachment programme [1] |
| farm attachment programme [1] |
| Farmer-preference [1] |
| fermentation [1] |
| Fish farming [1] |
| Food consumption patterns [1] |
| Food safety [3] |
| French bean (Phaseolus vulgaris L.) [1] |
| French fries [1] |
| Fresh fruit quality [1] |
| Fresh vegetables [2] |
| Fries [1] |
| Frozen chips [1] |
| Fruit [1] |
| Fruit bagging [1] |
| Fruit firmness [2] |
| Fruit growth [1] |
| Gender [6] |
| Gender gaps [2] |
| Gender-differentiated group-based approaches [1] |
| Gender-sensitive innovations [2] |
| Gene expres-sion [1] |
| Gene expression [2] |
| Group-based approaches [2] |
| Handicraft, Woodcarving, Basket weaving [1] |
| Hard dough [1] |
| Harvest time [1] |
| Host farmers [1] |
| Hydrogen peroxide [2] |
| ICT [1] |
| ICT; dietary quality; undernutrition; information; children [1] |
| Idiosyncratic [1] |
| idiosyncratic [1] |
| Impact [1] |
| Impact analysis [1] |
| Improved cultivars [1] |
| Improved varieties [3] |
| Inequality [1] |
| Infection pathways [1] |
| Information [1] |
| Inhibitors of protein kinase [1] |
| Inhibitors of protein phosphatase [1] |
| Innovation [1] |
| Integrated pest management [1] |
| Intra-household analysis [2] |
| Intra-row spacing [1] |
| Irony [1] |
| Kenya [9] |
| Kilns [1] |
| Leafy vegetables [2] |
| Learning resources [1] |
| Lepidopteran defoliators [1] |
| Lime juice [1] |
| Livestock [1] |
| Low density polyethylene, Lycopersicon esculentum L., Modified atmosphere packaging, Tomato fruit. [1] |
| Low temperature storage [1] |
| Lycopersicon esculentum [1] |
| Maize [2] |
| Malnutrition [1] |
| Malting [1] |
| Manure and fertilizer use [1] |
| Market choice [1] |
| Market milk [2] |
| Marketed milk [1] |
| Means-End approach [1] |
| Means-end chain analysis [1] |
| Means-end chain approach [1] |
| Micronutrient [2] |
| Millets [1] |
| Minerals [1] |
| Modified atmosphere packaging [1] |
| Moisture content [1] |
| Motivations [1] |
| Multiple shocks [1] |
| Mwala [1] |
| Nairobi [2] |
| Nutrient contents [1] |
| Nutritional benefits [1] |
| Occupational Defined Contribution Schemes [1] |
| Oil [1] |
| Organoleptic [1] |
| Packaging [2] |
| parasitoids [1] |
| Participation rates [1] |
| Participatory Rural Appraisal (PRA) [1] |
| pastoralist [1] |
| peach [1] |
| Pearl millet [1] |
| pedagogy [1] |
| Perceived risk [1] |
| Perceptions [2] |
| Peri-urban [1] |
| Peri-urban vegetable farmers [1] |
| Peroxide value [1] |
| Personal values [1] |
| Pest distribution [1] |
| Pest information service [1] |
| Pesticide use [1] |
| pH [1] |
| Physical characteristics [1] |
| Phytochemical [1] |
| Phytochemicals [1] |
| Pigeonpea [3] |
| Plant density [1] |
| Policy impact [1] |
| Postharvest [1] |
| Potato cultivars [1] |
| Potato processing [1] |
| Pre-harvest interval [1] |
| predators [1] |
| Primary Schools [1] |
| Production diversity [1] |
| Productivity [1] |
| Proximate composition [1] |
| Prunuspersica [1] |
| psychomotor [1] |
| Quality [2] |
| Rabbit meat [1] |
| Radical scavenging activity. [1] |
| Reconditioning [1] |
| Reducing sugars [1] |
| Regression tree [1] |
| Resource [1] |
| Respiration [2] |
| Ripening [1] |
| Risk-sharing [2] |
| Rural [1] |
| Rural Kenya [1] |
| SARS-CoV-2 [1] |
| Scheme Design [1] |
| Secondary Schools [1] |
| Sensory attributes [1] |
| Sensory properties [1] |
| Shelf life [1] |
| Shelf-life [2] |
| Shocks [2] |
| Signal transduction. [1] |
| Signal transduction. [2] |
| Smoking [1] |
| Social network analysis [1] |
| Social networks [6] |
| Sodium benzoate [1] |
| Sodium metabisulfie [1] |
| Soft dough [1] |
| Sorghum [4] |
| spider mites [1] |
| Stakeholder mapping [1] |
| Staphylococcus aureus [1] |
| Starch [3] |
| stem weevil [1] |
| Stochastic frontier. [1] |
| Storage [1] |
| Storage temperature [1] |
| Students [1] |
| Students attitude [1] |
| Sugars [1] |
| Tanzania [1] |
| Teaching [1] |
| teaching methods [1] |
| Technical efficiency [1] |
| technology [1] |
| Theory of change [1] |
| Tomato [2] |
| Total titratable Acidity (TTA) [1] |
| Total viable count [1] |
| Transformation [1] |
| Trustees [1] |
| Turkana County [1] |
| TVET institutions [1] |
| undergraduate students [1] |
| universities [1] |
| Urban agriculture [1] |
| Urban consumers [3] |
| Value chains [1] |
| Values [1] |
| Walnut flour [1] |
| Water [2] |
| Watreshed [1] |
| Welfare outcomes [1] |
| Willingness to pay [4] |
| Women [1] |
| Women’s empowerment [1] |
| Xiangtian olive [1] |
| Yield [1] |
| β-carotene [2] |
