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Breeding programmes increasingly rely on head-to-head comparisons to inform stakeholders about the optimal cultivar for local conditions. This study implemented and evaluated a practical, transparent Excel® framework for assessing cotton cultivar competitiveness by evaluating seven cultivars against a commercial check at three winning margins (exceeding the check and beating it by more than 2.5% and 10% of the environment mean) over 36 environments. By utilising non-parametric statistical formulas in Microsoft Excel®, we calculated three competitiveness indices (W0, W2.5, and W10) to measure the probability of cultivars outperforming the commercial check. Additionally, scores were calculated to determine how often each cultivar ranked in the top, middle, and bottom third in each test, leading to the creation of two indices, namely Top and Mid. Two genotypes showed a higher probability of winning (≥53% of the time). On the other hand, for the minor (2.5%) yield difference, only one cultivar (cv. G3) outperformed the check in 19 of the 36 environments (53% of the time) and occurred mostly in the top third (58% of the time). Because the 10% threshold proved unrealistic for near-commercial cultivars, we propose replacing it with a user-defined economic threshold. This methodology effectively quantified the probability of the cultivar’s specific and general competitiveness in a format easily interpretable by decision-makers. The three indices W0, W2.5, and Top were associated with the dynamic concept of stability, whereas the index Mid was related to static and dynamic concepts.

Early-generation sesame (Sesamum indicum L.) breeding requires high-throughput phenotyping of large unreplicated populations across contrasting environments. A DJI Phantom 4 Multispectral UAV was flown at 40, 80, and 120 m above ground level (AGL) over 588 M2 genotypes under full irrigation (ENV1) and terminal drought (ENV2; irrigation withheld from reproductive onset) on four dates (July–September 2025). Structure-from-motion canopy height models were compared with ground measurements, and four spectral reflectance indices—Normalised Difference Vegetation Index (NDVI), Normalised Difference Red Edge (NDRE), Green Normalised Difference Vegetation Index (GNDVI), and Leaf Chlorophyll Index (LCI)—were derived from 40 m imagery. Ordinary least squares (OLS), Random Forest, and Gradient Boosting were evaluated under leave-one-genotype-out (LOGO), leave-one-environment-out (LOEO), and leave-one-date-out (LODO) cross-validation; genotypic repeatability was quantified by intraclass correlation (ICC), and drought performance was ranked by a composite Stress Tolerance Index (STI) validated against an independent breeder assessment. The 40 m altitude gave the highest height accuracy (R2 = 0.812 in ENV1; 0.663 in ENV2). LOGO accuracy (R2 ≈ 0.83) fell to R2 ≈ 0.55 under LODO—the operationally relevant figure for a new phenological stage—and the full structural–spectral OLS model collapsed (R2 = −0.203) where tree ensembles remained stable. Spectral-index repeatability was up to ~2-fold higher under stress (ICC(3,4) > 0.84). The composite STI flagged 38 elite genotypes (7.6% of 498); 10 of its top 30 were confirmed in the breeder’s 48-best selection from all 588 rows—a 4.1-fold enrichment over chance (hypergeometric p = 4.5 × 10−5).

On-farm genotype screening is at the core of every breeding scheme, but it comes with a high cost and often high degree of uncertainty. Phenomics is a new approach by plant breeders, who use optical sensors for accurate germplasm phenotyping, selection and enhancement of the genetic gain. The objectives of this study were to: (1) develop a high-throughput phenotyping workflow to estimate the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Red Edge index (NDRE) at the plot-level through an active crop canopy sensor; (2) test the ability of spectral reflectance indices (SRIs) to distinguish between sesame genotypes throughout the crop growth period; and (3) identify specific stages in the sesame growth cycle that contribute to phenotyping accuracy and functionality and evaluate the efficiency of SRIs as a selection tool. A diversity panel of 24 sesame genotypes was grown at normal and late planting dates in 2020 and 2021. To determine the SRIs the Crop Circle ACS-430 active crop canopy sensor was used from the beginning of the sesame reproductive stage to the end of the ripening stage. NDVI and NDRE reached about the same high accuracy in genotype phenotyping, even under dense biomass conditions where “saturation” problems were expected. NDVI produced higher broad-sense heritability (max 0.928) and NDRE higher phenotypic and genotypic correlation with the yield (max 0.593 and 0.748, respectively). NDRE had the highest relative efficiency (61%) as an indirect selection index to yield direct selection. Both SRIs had optimal results when the monitoring took place at the end of the reproductive stage and the beginning of the ripening stage. Thus, an active canopy sensor as this study demonstrated can assist breeders to differentiate and classify sesame genotypes.

Lentil (Lens culinaris Medik.) production faces challenges due to shifting environmental conditions, potentially leading to a transition towards cooler or highland Mediterranean environments. This study assessed the responses of five lentil genotypes across five diverse locations (L1–L5) managed under organic cropping systems over two seasons, focusing on key parameters including seed yield (SY), crude protein (CP), cooking time (CT), seed loss percentage (SL), and yield loss per hectare (YL) caused by bruchid (Bruchus sp.). Excessive seasonal rainfall (500 mm), low winter temperatures (−17.9 °C), bruchid SL, and spring sowing were identified as crucial, particularly in challenging environments like highlands. Genotype selection was highlighted as essential for balancing yield and stability, with the small-seeded cultivar ‘Dimitra’ demonstrating lower YL due to bruchid. Additionally, increased CP was noted in response to heightened bruchid infestations. Specific recommendations were proposed for different environments: In productive lowland areas with low bruchid pressure and high CTs (L1), prioritizing cultivars like ‘Samos’, ‘Dimitra’, and ‘Thessalia’ enhances quality. Locations with high bruchid populations (L4) were not favored organic production but can serve as genetic resistance screening sites. High-elevation environments (L3, L5) proved significantly less productive, underscoring the requirement for earlier and winter-hardy cultivars. These insights guide lentil cultivation, emphasizing the need for tailored breeding strategies adaptable to changing environments.

Vicia sativa L., commonly known as the common vetch, is an annual, self-pollinating legume used primarily as fodder both by livestock and wildlife. Additionally, it contributes to environmental balance through nitrogen fixation and the improvement of soil properties. The phenotypic, genetic, and metabolite variability among four advanced lines (BK45, BK29, BK23, BK27) and two commercial varieties (M-6900, BI-65) of V. sativa were evaluated in order to be used for future breeding programs aimed at producing genetically improved varieties. BK45 was the most promising line due to its high genetic polymorphism, but also because it exhibited a significant amount of seed production and high seed quality based on its metabolomics profile. A stepwise multiple regression analysis (MRA) revealed a relationship between SCoT alleles, seed, and biomass yield. Additionally, several statistically significant marker bands linked to metabolites were found using the SCoT marker analysis. Hence, data assessed via MRA may be helpful in marker-assisted breeding programs. Finally, the two commercial varieties can be further exploited in breeding programs due to their high genetic diversity.

Legumes, one of the first crops of humanity, inherently constitute a staple nutritional source for mankind, attracting significant research attention that has been afforded to the development of numerous cultivars. The study herein concerns the exploitation of the nutritional and bio-functional content of beans harvested from eleven Greek cultivars belonging to five different species, namely Cicer arietinum L., Pisum sativum L., Vicia faba L., Lens culinaris L., and Phaseolus vulgaris L. The final goal is to define their varietal identity and correlate their phytochemical content with their potential utilization as functional foods and/or feed of high nutritional value. In this respect, their extracts were screened against the presence of 27 fatty acids and 19 phenolic compounds, revealing the presence of 22 and 15 molecules, respectively. Specifically, numerous fatty acids were detected in significant amounts in all but C. arietinum extract, while significant polyphenolic content was confirmed only in P. vulgaris. Among individual compounds, linoleic acid was the major fatty acid detected in amounts averaging more than 150 mg/g, followed by oleic acid, which was present as a major compound in all extracts. Among the nine polyphenols detected in P. vulgaris, the molecules of genistein (3.88 mg/g) and coumestrol (0.82 mg/g) were the most abundant. Their antioxidant properties were evaluated through DPPH and FRAP assays, which were highlighted as most potent in both tests of the V. faba extract, while C. arietinum was determined as totally inactive, indicating a potential correlation between the phenolic content of the plant species and antioxidant activity. These results are indicative of the significant advances achieved for the cultivars investigated and reveal their important role as nutritional crops for human and animal consumption.

Common vetch (Vicia sativa L.) is one of the most cultivated feed crops with extensive agricultural diversity and numerous cultivars. This study concerns the first-time investigation of the dry plant biomass and grains of six vetch cultivars to define the detailed fingerprint of their phenolic and fatty acid content, along with their respective antioxidant potencies. The results revealed a substantial variation in the feed quality traits among the tested Vicia sativa varieties, highlighting the crucial role and influence the genotype plays in the achievement of high-quality livestock nutrition. Among the six varieties tested, Istros and M-6900 displayed a particularly intriguing phytochemical profile characterized by elevated phenolic content, significant antioxidant potency and remarkably high fatty acid indices. These findings are indicative of the great potential of these varieties to function as suitable candidates for incorporation into farm animal diets either in the form of dry biomass (hay) or as a grain feed additive.

The imperative need to produce safe foodstuffs using environmentally sustainable practices has highlighted the incorporation of legumes in human and animal diets as an emerging nutritional staple. Since legumes comprise a family of plants known to display an extensive agricultural diversity with significant bioactivities, we report herein the exploitation outcome of the nutritional and bio-functional content of hay, derived from the post-harvest aerial parts of eight novel-improved Greek cultivars belonging to the following six taxa: Larthyrus sativus L., Medicago sativa L., Cicer arietinum L., Pisum sativum L., Vicia faba L., and Phaseolus vulgaris L. In specific, the phytochemical content of their hay extracts was screened against the presence of 37 fatty acids and 67 polyphenols using, respectively, GC-FID and LC-MS/MS instruments, while the determination of their total phenolic and tannin contents was achieved with spectrophotometric methods. In this respect, the presence of 26 different fatty acids was detected of which the acids linoleic, linolenic and palmitic were traced in all extracts in concentrations exceeding the 10 mg/g, while the oleic acid was determined as the major component of C. arietinum (77.58 mg/g), V. faba (36.11 mg/g), and L. sativus (12.89 mg/g) extracts. In addition, 30 different phenolics were traced as extracts’ components with the most abundant the molecule of isoquercetin, which was present in six extracts and isoliquiritigenin, calycosin, and chlorogenic acid which were detected in five extracts. Finally, the antioxidant properties of the extracts were evaluated by performing both DPPH• and FRAP assays, which highlighted the V. faba extract as the most potent in both tests, followed by the extracts of P. sativum and P. vulgaris. Results herein are indicative of the significant advances achieved, for the improvement of investigated plant cultivars with respect to their utilization as nutritional crops, since these novel cultivars hays have been found to contain significant amounts of essential nutrients in the form of fatty acids along with bioactive ingredients in the form of polyphenols, while simultaneously they were determined as deprived of tannins that constitute essential anti-nutritional factors.

Microbes inhabiting the phyllosphere of crops are exposed to pesticides applied either directly onto plant foliage or indirectly through soil. Although, phyllosphere microbiology has been rapidly evolving, little is still known regarding the impact of pesticides on the epiphytic microbial community and especially on fungi. We determined the impact of two systemic pesticides (metalaxyl and imidacloprid), applied either on foliage or through soil, on the epiphytic fungal and bacterial communities via DGGE and cloning. Both pesticides induced mild effects on the fungal and the bacterial communities. The only exception was the foliage application of imidacloprid which showed a more prominent effect on the fungal community. Cloning showed that the fungal community was dominated by putative plant pathogenic ascomycetes (Erysiphaceae and Cladosporium), while a few basidiomycetes were also present. The former ribotypes were not affected by pesticides application, while selected yeasts (Cryptococcus) were stimulated by the application of imidacloprid suggesting a potential role in its degradation. A less diverse bacterial community was identified in pepper plants. Metalaxyl stimulated an Enterobacteriaceae clone which is an indication of the involvement of members of this family in fungicide degradation. Further studies will focus on the isolation of epiphytic microbes which appear to be stimulated by pesticides application.

Legumes, one of the first crops of humanity, inherently constitute a staple nutritional source for mankind, attracting significant research attention that has been afforded to the development of numerous cultivars. The study herein concerns the exploitation of the nutritional and bio-functional content of beans harvested from eleven Greek cultivars belonging to five different species, namely Cicer arietinum L., Pisum sativum L., Vicia faba L., Lens culinaris L., and Phaseolus vulgaris L. The final goal is to define their varietal identity and correlate their phytochemical content with their potential utilization as functional foods and/or feed of high nutritional value. In this respect, their extracts were screened against the presence of 27 fatty acids and 19 phenolic compounds, revealing the presence of 22 and 15 molecules, respectively. Specifically, numerous fatty acids were detected in significant amounts in all but C. arietinum extract, while significant polyphenolic content was confirmed only in P. vulgaris. Among individual compounds, linoleic acid was the major fatty acid detected in amounts averaging more than 150 mg/g, followed by oleic acid, which was present as a major compound in all extracts. Among the nine polyphenols detected in P. vulgaris, the molecules of genistein (3.88 mg/g) and coumestrol (0.82 mg/g) were the most abundant. Their antioxidant properties were evaluated through DPPH and FRAP assays, which were highlighted as most potent in both tests of the V. faba extract, while C. arietinum was determined as totally inactive, indicating a potential correlation between the phenolic content of the plant species and antioxidant activity. These results are indicative of the significant advances achieved for the cultivars investigated and reveal their important role as nutritional crops for human and animal consumption.