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Drought and heat are two stresses that often occur together and may pose significant risks to crops in future climates. However, the combined effects of these two stressors have received less attention than single-stressor investigations. This study used a rapid and straightforward phenotyping method to quantify the variation in 128 African eggplant genotype responses to drought, heat, and the combined effects of heat and drought at the seedling stage. The study found that the morphophysiological traits varied significantly among the 128 eggplants, highlighting variation in response to abiotic stresses. Broad-sense heritability was high (> 0.60) for chlorophyll content, plant biomass and performance index, electrolyte leakage, and total leaf area. Positive and significant relationships existed between biomass and photosynthetic parameters, but a negative association existed between electrolyte leakage and morpho-physiological traits. The plants underwent more significant stress when drought and heat stress were imposed concurrently than under single stresses, with the impact of drought on the plants being more detrimental than heat. There were antagonistic effects on the morphophysiology of the eggplants when heat and drought stress were applied together. Resilient genotypes such as RV100503, RV100501, JAMBA, LOC3, RV100164, RV100169, LOC 3, RV100483, GH5155, RV100430, GH1087, GH1087*, RV100388, RV100387, RV100391 maintained high relative water content, low electrolyte leakage, high Fv/Fm ratio and performance index, and increased biomass production under abiotic stress conditions. The antagonistic interactions between heat and drought observed here may be retained or enhanced during several stress combinations typical of plants’ environments and must be factored into efforts to develop climate change-resilient crops. This paper demonstrates improvised climate chambers for high throughput, reliable, rapid, and cost-effective screening for heat and drought and combined stress tolerance in plants.

The potential exists to breed for root system architectures that optimize resource acquisition. However, this requires the ability to screen root system development quantitatively, with high resolution, in as natural an environment as possible, with high throughput. This paper describes the construction of a low-cost, high-resolution root phenotyping platform, requiring no sophisticated equipment and adaptable to most laboratory and glasshouse environments, and its application to quantify environmental and temporal variation in root traits between genotypes of Brassica rapa L. Plants were supplied with a complete nutrient solution through the wick of a germination paper. Images of root systems were acquired without manual intervention, over extended periods, using multiple scanners controlled by customized software. Mixed-effects models were used to describe the sources of variation in root traits contributing to root system architecture estimated from digital images. It was calculated that between one and 43 replicates would be required to detect a significant difference (95% CI 50% difference between traits). Broad-sense heritability was highest for shoot biomass traits (>0.60), intermediate (0.25–0.60) for the length and diameter of primary roots and lateral root branching density on the primary root, and lower (<0.25) for other root traits. Models demonstrate that root traits show temporal variations of various types. The phenotyping platform described here can be used to quantify environmental and temporal variation in traits contributing to root system architecture in B. rapa and can be extended to screen the large populations required for breeding for efficient resource acquisition.

Dioscorea praehensilis Benth. is a semi-wild yam species and a valuable source of resistance trait genes. To access the agronomic and tuber quality performance, eleven quantitative phenotypic traits were used to discriminate and identify promising accessions among 162 accessions of D. praehensilis collected in Ghana. Significant and high genetic variability (p < 0.001) for all eleven quantitative traits was found among the evaluated accessions. Moderate broad-sense heritability (H2) (30–60%) was observed for all the evaluated quantitative traits except the response to YMV and tuber hardness. The accessions were clustered into three groups; each cluster displayed genotypes with good potentiality for the different traits evaluated. Path coefficient analysis revealed positive contributions (p < 0.01) of the number of tubers per plant, tuber length, tuber width, stem internode length, number of internodes, and tuber flesh hardness to the total tuber weight per plant. Through the multi-trait genotype–ideotype distance index (MGIDI), 24 accessions were identified from the 162 evaluated accessions as top-ranking and could be used as progenitors for trait introgression. The results of this study provide insight for future yam breeding and improvement programs in West Africa.

ABSTRACT Littoral soils along Ghana's coastal zones, hosting diverse halophytes with multiple potential applications, contain significant salt content due to seawater influence. This study identified and explored the nutritional, ecological, and medicinal significance of these halophytes, focusing on their salt tolerance and desalination abilities. Deep learning image recognition was employed to identify plant species, followed by a greenhouse experiment on five selected halophytes (Ipomoea aquatica, Lactuca taraxacifolia, Paspalum vaginatum, Sesuvium portulacastrum, and Talinum triangulare) to assess their response to varying salt concentrations (0, 25, and 50 dS/m) and soil types (sea sand and arable soil). High salt concentrations (50 dS/m) generally reduced plant growth rates and biomass accumulation while increasing soil electrical conductivity (EC), total dissolved solids (TDS), and pH. Arable soil improved halophyte Relative Growth Rate (RGR) and performance index (PI) by 5% and 52%, respectively, compared to sea sand. Sesuvium portulacastrum exhibited enhanced PI at elevated salinity and demonstrated superior salt ion accumulation in roots and leaves at 50 dS/m. Both P. vaginatum and S. portulacastrum maintained the highest shoot and root dry weights under increased salinity, whereas S. portulacastrum significantly reduced soil EC, pH, Na, and Cl ion contents compared to other species. Sesuvium portulacastrum reduced several soil salinity indicators significantly compared to other species, highlighting its potential for addressing soil and water salinity issues in affected environments. This study shows the potential of Ghana's halophytes in addressing soil salinity‐related challenges.

Cassava is the 6th most important source of dietary energy in the world but its root system architecture (RSA) had seldom been quantified. Ability to select superior genotypes at juvenile stages can significantly reduce the cost and time for breeding to bridge the large yield gap. This study adopted a simple approach to phenotyping RSA traits of juvenile and mature cassava plants to identify genotypic differences and the relationships between juvenile traits and harvest index of mature plants. Root classes were categorised and root and shoot traits of eight (8) juvenile pot-grown cassava genotypes, were measured at 30 and 45 days after planting (DAP). The same or related traits were measured at 7 months after planting of the same genotypes grown in the field while yield and yield components were measured in 12-months old field-grown plants. The field experiment was done in 2017 and repeated in 2018. Differences between genotypes for the measured traits were explored using analysis of variance (ANOVA) while traits in juvenile plants were correlated or regressed onto traits measured in 7- and 12-months old plants. The results show significant genotypic variations for most of the traits measured in both juvenile and 7-months old plants. In the 12-months old plants, differences between genotypes were consistent for both 2017 and 2018. Broad-sense heritability was highest for the number of commercial roots (0.87) and shoot fresh weight (0.78) and intermediate for the total number of roots (0.60), harvest index (0.58), fresh weight of roots (0.45). For all the sampling time points or growth stages, there were greater correlations between traits measured at a particular growth stage than between the same traits at different growth stages. However, some juvenile-mature plant trait relationships were significant, positive and consistent for both 2017 and 2018. For example, total root length and the total number of roots in 30 DAP, and branching density of upper nodal roots in 45 DAP, positively correlated with harvest index of 12-months old plants in both 2017 and 2018. Similarly, the diameter of nodal roots, for example, had a negative, significant correlation with fresh shoot biomass of mature plants in both 2017 and 2018. Regression of traits measured in 30 DAP explained up to 22% and 36% of the variation in HI of mature plants in 2017 and 2018, respectively. It is concluded that the simple, rapid, inexpensive phenotyping approach adopted in this study is robust for identifying genotypic variations in juvenile cassava using root system traits. Also, the results provide seminal evidence for the existence of useful relationships between traits of juvenile and mature cassava plants that can be explored to predict yield and yield components.

The tiger nut is a valuable crop that has been overlooked and underutilized. The tubers of this plant are highly valued for their nutritional benefits and health advantages. This study aimed to evaluate the genetic potential of 42 tiger nut genotypes using a multitrait index based on factor analysis and genotype‐ideotype distance (MGIDI). The experiment involved a randomized complete block design with three replications, assessing 10 agronomic and tuber yield traits. The results showed significant variations among genotypes for all traits, which indicates the presence of genetic potential that can be harnessed for crop enhancement. The MGIDI index provided an increased total genetic gain of 78.58% for the desired traits. Specific genotypes, including PUT‐b (FA1), ADU‐b (FA2), OBR‐B, ENK‐B, ASU‐b (FA3), and BEP‐B (FA4), were identified as the top candidates for simultaneous improvement of the measured traits in tiger nut. This demonstrates the efficiency of the index in selecting superior genotypes, offering a data‐driven approach to breeding programs aimed at optimizing tiger nut yield and quality. Furthermore, the identification of specific high‐performing genotypes provides valuable genetic resources for future research and commercial cultivation. These findings contribute to the broader goal of improving food security and diversifying agricultural production. By promoting the genetic enhancement of tiger nut, this study supports its potential as a sustainable crop with significant nutritional and economic benefits.

Major research efforts are targeting the improved performance of root systems for more efficient use of water and nutrients by crops. However, characterizing root system architecture (RSA) is challenging, because roots are difficult objects to observe and analyse. A model-based analysis of RSA traits from phenotyping image data is presented. The model can successfully back-calculate growth parameters without the need to measure individual roots. The mathematical model uses partial differential equations to describe root system development. Methods based on kernel estimators were used to quantify root density distributions from experimental image data, and different optimization approaches to parameterize the model were tested. The model was tested on root images of a set of 89 Brassica rapa L. individuals of the same genotype grown for 14 d after sowing on blue filter paper. Optimized root growth parameters enabled the final (modelled) length of the main root axes to be matched within 1% of their mean values observed in experiments. Parameterized values for elongation rates were within ±4% of the values measured directly on images. Future work should investigate the time dependency of growth parameters using time-lapse image data. The approach is a potentially powerful quantitative technique for identifying crop genotypes with more efficient root systems, using (even incomplete) data from high-throughput phenotyping systems.

ABSTRACT Zn deficiency affects over 2 billion people globally, particularly in regions with Zn‐deficient soils. Biofortification of staple crops offers a sustainable solution to this challenge. This study investigated Zn application methods (soil vs. foliar), rates (0–6 kg ha−1), and timings (30, 50, and 70 days after sowing [DAS]) on growth, yield, and Zn accumulation in carrots under greenhouse conditions. Zn application significantly improved plant growth parameters, chlorophyll content, and yield. Chlorophyll content increased by approximately 36% as Zn rates increased from 0 to 6 kg ha−1. Zn application at 6 kg ha−1 increased carrot yield by 97.2% compared to the control. Foliar application achieved superior shoot Zn enrichment, with concentrations 51% higher than soil application at the highest rate. Root Zn concentrations showed no significant difference between application methods, suggesting distinct Zn translocation mechanisms between aerial and underground tissues. Early application (30 DAS) was most effective for root Zn accumulation, increasing concentrations by 175% compared to the control. An observed quadratic response to Zn application suggests an optimal threshold (6 kg ha−1) for maximizing biofortification efficiency while maintaining economic feasibility. Early Zn intervention is essential for sandy soils with rapid nutrient leaching potential, and combined soil–foliar applications effectively address limited nutrient retention capacity. These findings demonstrate that Zn biofortification can simultaneously meet nutritional objectives and improve agricultural productivity in carrots, providing viable strategies for regions with similar soil constraints. Through optimized application methods, rates, and timing, zinc biofortification in carrots significantly enhances growth, yield, and nutrient accumulation. Foliar application at 6 kg ha−1 zinc increased shoot zinc concentration by 51% compared to soil application, while early application (30 days after sowing) boosted root zinc levels by 175%. The findings demonstrate the potential of an integrated zinc biofortification strategy to simultaneously address nutritional deficiencies and improve agricultural productivity in tropical regions with zinc‐deficient soils.

Yam (Dioscorea spp.) is an important food security crop in the tropics and subtropics. However, it is characterized by a narrow genetic base within cultivated and breeding lines for tuber yield, disease resistance, and postharvest traits, which hinders the yam breeding progress. Identification of new sources of desirable genes for these traits from primary and secondary gene pools is essential for this crop improvement. This study aimed at identifying potential sources of genes for yield and quality traits in a panel of 162 accessions of D. praehensilis, a semi-domesticated yam species, for improving the major yam species, D. rotundata. Significant differences were observed for assessed traits (p < 0.05), with D. praehensilis genotypes out-performing the best D. rotundata landraces for tuber yield (23.47 t ha−1), yam mosaic virus (YMV) resistance (AUDPC = 147.45), plant vigour (2.43) and tuber size (2.73). The study revealed significant genotypic (GCV) and phenotypic (PCV) coefficients of variance for tuber yield, YMV severity score, and tuber flesh oxidation. We had also a medium-to-high broad-sense heritability (H2b) for most of the traits except for the dry matter content and tuber flesh oxidation. This study identified some promising D. praehensilis genotypes for traits such as high yield potential (WNDpr76, CDpr28, CDPr7, EDpr14, and WNDpr63), resistance to YMV (WNDpr76, CDpr7, EDpr14, CDpr28, and EDpr13), high dry matter content (WNDpr76, CDpr28, and WNDpr24), low tuber flesh oxidation (WNDpr76, CDpr5, WNDpr31, CDpr40, and WNDpr94) and high number of tubers per plant (WNDpr76, CDpr7, CDpr68, CDpr29, and CDpr58). These genotypes could, therefore, be employed in breeding programmes to improve the white Guinea yam by broadening its genetic base.

Sorghum is an essential crop for resilient and adaptive responses to climate change. The root systems of crop plants significantly contribute to the tolerance of abiotic stresses. There is little information on sorghum genotypes' root systems and plasticity to external P supply. In this paper, we investigated the variations in root systems, as well as the responses, trait relationships, and plasticity of two sorghum genotypes (Naga Red and Naga White), popularly grown in Ghana, to five external P concentrations ([P]ext): 0, 100, 200, 300, and 400 mg P kg−1 soil. Sorghum plants were grown in greenhouse pots and harvested for root trait measurements at the five‐leaf and growing point differentiation (GPD) developmental stages. The plants were responsive to [P]ext and formed rhizosheaths. The two genotypes showed similar characteristics for most of the traits measured but differed significantly in total and lateral root lengths in favor of the red genotype. For example, at the five‐leaf growth stage, the lateral root length of the red and white genotypes was 22.8 and 16.2 cm, respectively, but 124 and 88.9 cm, at the GPD stage. The responses and plasticity of the root system traits, including rhizosheath, to [P]ext were more prominent, positive, and linear at the five‐leaf stage than at the GPD growth stage. At the five‐leaf growth stage, total root length increased by about 2.5‐fold with increasing [P]ext compared to the unamended soil. At the GPD stage, however, total root length decreased by about 1.83‐fold as [P]ext increased compared to the unamended soil. Specific rhizosheath weight correlated with RHD, albeit weakly, and together explained up to 59% of the variation in tissue P. Root hair density was more responsive to P supply than root hair length and showed a similar total and lateral root length pattern. Most desirable responses to P occurred at a rate of 200–300 mg P kg−1 soil. It is concluded that sorghum would form rhizosheath, and [P]ext could be critical for the early vigorous growth of sorghum's responsive root and shoot traits. Beyond the early days of development, additional P application might be necessary to sustain the responses and plasticity observed during the early growth period, but this requires further investigation, potentially under field conditions.