Seed Coat Color Research Articles

Classification of Grain s and Quality Analysis u sing Deep Learning

There are various varieties of Rice and lentils. Price fabrication and adulteration have been some of the various issues faced by the consumers, farmers and wholesale retailers. Traditional methods for Identification of these similar types of grains and their quality analysis are crude and inaccurate. Methods were tried to implemented earlier but due to financial inability and low efficiency, they weren’t successful. To overcome this problem, the project proposes a method that uses a machine learning technique for identification and quality analysis of these grains. Rice and Lentils which have the maximum consumption have been selected. Lentils are designated into classes based on colors. The technique of determining the elegance of a lentil is with the aid of seed coat shade. Red lentils can be confirmed through the cotyledon coloration. Lentil types may also have a huge variety of seed coat colors from inexperienced, red, speckled inexperienced, black and tan. The cotyledon colour may be red, yellow or inexperienced. The size and color of every Indian Lentil type (i.e. Red, Green, and Yellow, Black, White) are decided to be large or Medium or small, then size and colour end up part of the grade name. An smart machine is used to perceive the kind of Indian lentils from bulk samples. The proposed machine allows kernel length and coloration size using picture processing techniques. These Lentil size measurements, when combined with color attributes of the sample, classify three lentil varieties commonly grown in India with the highest accuracy. Rice is one of most consumed grains in India so its quality is of utmost importance. In this project, we identify and grade five types of rice and grade them with the help of their distinguished features such as size, color, shape, and surface. The project works in three phases viz., Feature Extraction, Training, and Testing. Various rice grain has a different shape, size, surface and various lentils come in different colors, Hence the feature that will be extracted is texture and colors. The method of regression will be adopted for the grading mechanism where the output will be in terms of percentage purity. The methodology for the extraction of the feature will be GLCM and Edge Detection where for supervised learning SVM and Back Propagation will be utilized. The project provides an efficient replacement for the traditional grading mechanism and standardizes the pricing of farm products based on their quality only.

Deciphering the effect of Natural Fermentation on Nutritional, Anti-nutritional compounds and Antioxidant Activity of Finger millet landraces

Fermentation is one of the most important bioprocessing techniques used to enhance nutritional components and a reduction in anti-nutritional compounds. In the present work, germinated and ungerminated grains of white and red –brown finger millet landraces were subjected to 8, 16 and 24 hours of fermentation to find out its response in terms of nutritional, anti-nutritional compounds and antioxidant activity. White and red-brown grains showed significant response to 16 and 24 hours process in terms of nutritional and anti-nutritional changes. Significant reduction in the tannin content (73%) was noted for germinated and un-germinated grains with the enhancement in nutritional compounds. Highest antioxidant activity was noted for germinated (91%) grains of white seed coat color grains. Process of natural fermentation and the microflora produces various endogenous enzymes which causes enhancement and reduction of nutritional and antinutritional compounds. Obtained results prove the importance of fermentation process and conservation of landraces for nutritional security.

Identification of quantitative trait loci and candidate genes controlling seed pigments of rapeseed

Rapeseed (Brassica napus L.) is an important source of edible vegetable oil and feed protein; however, seed pigments affect the quality of rapeseed oil and the feed value of the residue from oil pressing. Here, we used a population of rapeseed recombinant inbred lines (RILs) derived from the black-seeded male parent cultivar Zhongyou 821 and the yellow-seeded female parent line GH06 to map candidate genes controlling seed pigments in embryos and the seed coat. We detected 94 quantitative trait loci (QTLs) for seed pigments (44 for embryos and 50 for seed coat), distributed over 15 of the 19 rapeseed chromosomes. These included 28 QTLs for anthocyanidin content, explaining 2.41–44.66% of phenotypic variation; 24 QTLs for flavonoid content, explaining 2.41–20.26% of phenotypic variation; 16 QTLs for total phenol content, accounting for 2.74–23.68% of phenotypic variation; and 26 QTLs for melanin content, accounting for 2.37–24.82% of phenotypic variation, indicating that these traits are under multigenic control. Consensus regions on chromosomes A06, A09 and C08 were associated with multiple seed pigment traits, including 15, 19 and 10 QTLs, respectively, most of which were major QTLs explaining >10% of the phenotypic variation. Based on the annotation of the B. napus “Darmor-bzh” reference genome, 67 candidate genes were predicted from these consensus QTLs regions, and 12 candidate genes were identified as potentially involved in pigment accumulation by RNA-seq and qRT-PCR analysis. These preliminary results provide insight into the genetic architecture of pigment biosynthesis and lay a foundation for exploring the molecular mechanisms underlying seed coat color in B. napus.

Preliminary study on morphological diversity of cowpea accessions [Vigna unguiculata (L.) Walp.] collected in the North of Côte d’Ivoire

The collection and characterization of the diversity of local cowling ecotypes is an important lever in defining the species’ strategies for varietal improvement. The purpose of this study was to generate information on the diversity of cowpea [Vigna unguiculata (L.) Walp.] cultivars in the savannah area of Côte d’Ivoire. Collecting missions were carried out from December 2017 to February 2018, among farmers and traders in nine departments in the north of Côte d’Ivoire. These missions brought together 48 local cowpea ecotypes in seed form. These accessions were characterized on the basis of eight morphological characters, including two quantitative characters (weight of 100 seeds and length of seeds) and six qualitative characters (color, shape, presence of stain, appearance, eye shape and color around the hilum of seed). Overall, the results showed considerable variability in seed coat coloration in varying proportions. Overall, 35.42% of the samples collected were white, 33.33% were red and 31.25% were other colors. The Multiple Correspondence analysis carried out using all the qualitative characters made it possible to group the 48 accessions collected into 16 morphological groups or morphotypes with distinct characteristics. In addition, they reflect a good part of the morphological diversity of cowpea accessions from the north of Côte d'Ivoire that could be exploited in varietal selection programs for the species.

Dissecting the genetic control of seed coat color in a RIL population of common bean (Phaseolus vulgaris L.)

Dissecting the genetic control of seed coat color in a RIL population of common bean (Phaseolus vulgaris L.)

Dissecting the genetic control of seed coat color in a RIL population of common bean (Phaseolus vulgaris L.)

Dissecting the genetic control of seed coat color in a RIL population of common bean (Phaseolus vulgaris L.)

Dissecting the genetic control of seed coat color in a RIL population of common bean (Phaseolus vulgaris L.)

Dissecting the genetic control of seed coat color in a RIL population of common bean (Phaseolus vulgaris L.)

Black Seedcoat Pigmentation Is a Marker for Enhanced Nodulation and N2 Fixation in Bambara Groundnut (Vigna Subterranea L. Verdc.) Landraces

Field studies on the effect of differing seedcoat colour on plant growth and symbiotic performance of three Bambara groundnut landraces using the 15N natural abundance technique and ureide analysis in the xylem stream and petiole extracts revealed a consistent pattern in nodule function between ureide levels and shoot δ15N values, as well as between ureide levels and percent N derived from fixation at Gbalahi, Kpalisogu, and Manga. At those three sites, where shoot δ15N was low and percent N derived from fixation high, ureide concentrations in the xylem sap and petiole extracts were also high, indicating that the two techniques were comparatively quite robust in estimating N2 fixation at a higher precision in the test Bambara groundnut landraces. A comparison of the effect of differing seedcoat pigmentation on the concentration of phenolics released by imbibed seeds showed that the Black landrace contained higher levels of flavonoids and anthocyanins, followed by the Red, and lowest in the Cream landrace. The Black landrace also recorded much higher nodule number and nodule fresh weight per plant, greater shoot biomass, lower shoot δ15N values, greater N derived from fixation, higher symbiotic N contribution, and increased water-use efficiency across all the five study sites, followed by the Red landrace, which produced the highest grain yield. Black seedcoat pigmentation in Bambara groundnut is therefore a marker for increased nodulation, N2 fixation, and plant growth that can be tapped in breeding programs for developing high N2-fixing, water-use efficient grain legumes for use by farmers in Africa.

Identification of Candidate Genes Regulating the Seed Coat Color Trait in Sesame (Sesamum indicum L.) Using an Integrated Approach of QTL Mapping and Transcriptome Analysis.

Seed coat color is an important seed quality trait in sesame. However, the genetic mechanism of seed coat color variation remains elusive in sesame. We conducted a QTL mapping of the seed coat color trait in sesame using an F2 mapping population. With the aid of the newly constructed superdense genetic linkage map comprised of 22,375 bins distributed in 13 linkage groups (LGs), 17 QTLs of the three indices (i.e., L, a, and b values) of seed coat color were detected in seven intervals on four LGs, with a phenotype variance explanation rate of 4.46–41.53%. A new QTL qSCa6.1 on LG 6 and a QTL hotspot containing at least four QTLs on LG 9 were further identified. Variants screening of the target intervals showed that there were 84 genes which possessed the variants that were high-impact and co-segregating with the seed coat color trait. Meanwhile, we performed the transcriptome comparison of the developing seeds of a white- and a black-seeded variety, and found that the differentially expressed genes were significantly enriched in 37 pathways, including three pigment biosynthesis related pathways. Integration of variants screening and transcriptome comparison results suggested that 28 candidate genes probably participated in the regulation of the seed coat color in sesame; of which, 10 genes had been proved or suggested to be involved in pigments biosynthesis or accumulation during seed formation. The findings gave the basis for the mechanism of seed coat color regulation in sesame, and exhibited the effects of the integrated approach of genome resequencing and transcriptome analysis on the genetics analysis of the complex traits.

Dissecting the genetic control of seed coat color in a RIL population of common bean (Phaseolus vulgaris L.).

Three genes associated with the seed coat color in a TU/Musica RIL population were located on a genetic map, and two candidate genes proposed to control black seed coat in the TU genotype were characterized. Seed coat color is an important characteristic of common bean (Phaseolus vulgaris L.) associated with the marketability of dry bean cultivars, quality and nutritional characteristics of seed, as well as response to pathogens. In this study, the genetic control of seed coat color in a recombinant inbred line population (175 lines) obtained from the cross 'TU' × 'Musica' was investigated. Phenotypic segregation fitted 1:1 for white vs. nonwhite, and 3:1 for brown versus black, indicating the involvement of three independent genes, one controlling white color and two (with epistatic interaction) controlling black color. Using a genetic map built with 842 SNPs, the gene responsible for the white seed coat was mapped on the linkage group Pv07, in the position previously described for the P gene. For the black seed coat phenotype, two genes were mapped to the beginning of chromosomes Pv06 and Pv08, in the positions estimated for the V gene and the complex C locus, respectively, by classical studies. The involvement of these two genomic regions was verified through two crosses between three selected RILs exhibiting complementary and dominant inheritance, in which the TU alleles for both genes resulted in a black phenotype. Two genes involved in the anthocyanin biosynthesis pathway were proposed as candidate genes: Phvul.006G018800 encoding a flavonoid 3'5'hydroxylase and Phvul.008G038400 encoding MYB113 transcription factor. These findings add knowledge to the complex network of genes controlling seed coat color in common bean as well as providing genetic markers to be used in future genetic analysis or plant breeding.

Metabolite Contents and Antioxidant Activities of Soybean (Glycine max (L.) Merrill) Seeds of Different Seed Coat Colors.

Seed coat color is one of the main agronomical traits that determine the chemical quality of soybean seeds and has been used as a parameter during cultivar development. In this study, seeds of yellow (n = 10), greenish-yellow (n = 5), and light-yellow (n = 4) soybean accessions were evaluated for their contents of total protein, total oil, total phenolic (TPC), and five prominent fatty acids including palmitic acid (PA), stearic acid (SA), oleic acid (OA), linoleic acid (LA), and linolenic acid (LLA), relative to a control cultivar, and the effect of seed coat color on each was investigated. Antioxidant activity was also evaluated using 1,1-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, Trolox equivalent antioxidant capacity (TEAC), and ferric reducing antioxidant power (FRAP). The results showed significant variations of metabolite contents and antioxidant activities between the soybeans. The average TPC, DPPH-radical scavenging activity, and FRAP were each in the order of greenish-yellow > yellow > light-yellow soybeans. In contrast, light-yellow soybeans contained a high level of OA and low levels of SA, LA, and LLA, each except LA differing significantly from yellow and greenish-yellow soybeans (p < 0.05). Our findings suggest that greenish-yellow and light-yellow soybeans could be good sources of antioxidants and high-quality soybean oil, respectively.

VaSDC1 Is Involved in Modulation of Flavonoid Metabolic Pathways in Black and Red Seed Coats in Adzuki Bean (Vigna angularis L.).

Seed coat colour is an important nutritional quality trait. Variations in anthocyanins and flavonoids induce the diversity of seed coat colour in adzuki bean (Vigna angularis L.). Red seed coat and black seed coat are important adzuki bean cultivars. Insights into the differences of flavonoid metabolic pathways between black and red adzuki bean are significant. In this study, we explored that the difference in seed coat colour between the red (Jingnong6) and the black (AG118) is caused by the accumulation of anthocyanins. The RNA-sequencing (RNA-Seq) and real-time reverse transcription (qRT)-PCR results showed that the Vigna angularis L. seed coat color (VaSDC1) gene, an R2R3-MYB transcription factor, should be the key gene to regulate the black and red seed coat colours. In three different colouring staes of seed development, VaSDC1 was specifically expressed in the black seed coat (AG118) landrace, which activates the structural genes of flavonoid metabolic pathways. As a result, this caused a substantial accumulation of anthocyanins and created a dark blue-black colour. In the red (Jingnong6) seed coat variety, low expression levels of VaSDC1 resulted in a lower accumulation of anthocyanins than in AG118. In addition, VaSDC1 was genetically mapped in the interval between simple-sequence repeat (SSR) markers Sca326-12, Sca326-4, and BAgs007 on chromosome 3 using an F4 segregating population derived from the cross between Jingnong6 and AG118. These results will facilitate the improvement of nutritional quality breeding in adzuki beans.

Primary and secondary metabolite compounds in cowpea seeds resistant to the cowpea bruchid [Callosobruchus maculatus (F.)] in postharvest storage

Cowpea is a one important legume crop in Sub-Saharan Africa due to its high content of protein and other nutrients. However, seeds of cowpea varieties are destroyed by Callosobruchus maculatus in storage. This study investigated various biochemical compounds of susceptible and resistant cowpea genotypes, to determine the biochemical compounds underlying cowpea resistance to bruchid. Six cowpea genotypes were analyzed in three replicates. One-way analysis of variance, Pearson correlation and path analysis were used to determine the influence of the biochemical compounds on the cowpea status. Amongst the cowpea genotypes assayed the biochemical compounds analyzed (Vicilin; α-amylase Inhibitor; Phenols; Condensed Tannin; Tannin; Carbohydrate; Flavonoid and Protein), were present in amounts. Resistant genotypes exhibited higher contents of Phenols (22.29 mg/g for WC66*5T and 19.74 mg/g for WC36); Tannin (2.45CEmg/g for WC36 and 2.52CEmg/g for TVU13677); and Carbohydrate (72.82% for TVU13677 and 71.09% for WC36). The most susceptible genotypes had the lowest content of Phenols (13.5 mg/g for TVU946 and 12.72 mg/g for Glessissaffodo); Tannin (0.74CEmg/g for Akounado and 0.97CEmg/g for Glessissaffodo) and Carbohydrate (60.95% for Akounado and 61.39% for TVU946), while Condensed Tannin was associated to their seed coat colour but not to their resistance status against bruchid. The resistant genotypes TVU13677; WC36 and WC66*5T were found to contain a higher amount of a subset of biochemical compounds as defensive compounds against cowpea bruchid. The susceptible cowpea genotypes (Akounado; Glessissaffodo; TVU946) screened for their biochemical content presented low amounts of these defensive compounds. The path analysis implemented highlighted the existence of causal relationships among biochemical compounds analyzed and resistance parameters, thus revealing the resistance basis of cowpea seed biochemical compounds. These latter results point out the possibilities to consider the presence of these biochemical compounds underlying the resistance of cowpea to bruchid in the breeding program toward the resistance to bruchid.

Genome-wide association mapping reveals new loci associated with light-colored seed coat at harvest and slow darkening in carioca beans

BackgroundCommon bean (Phaseolus vulgaris L.) is a legume whose grain can be stored for months, a common practice among Brazilian growers. Over time, seed coats become darker and harder to cook, traits that are undesirable to consumers, who associate darker-colored beans with greater age. Like commercial pinto and cranberry bean varieties, carioca beans that have darker seeds at harvest time and after storage are subject to decreased market values.ResultsThe goal of our study was to identify the genetic control associated with lightness of seed coat color at harvest (HL) and with tolerance to post-harvest seed coat darkening (PHD) by a genome-wide association study. For that purpose, a carioca diversity panel previously validated for association mapping studies was used with 138 genotypes and 1,516 high-quality SNPs. The panel was evaluated in two environments using a colorimeter and the CIELAB scale. Shelf storage for 30 days had the most expressive results and the L* (luminosity) parameter led to the greatest discrimination of genotypes. Three QTL were identified for HL, two on chromosome Pv04 and one on Pv10. Regarding PHD, results showed that genetic control differs for L* after 30 days and for the ΔL* (final L*—initial L*); only ΔL* was able to properly express the PHD trait. Four phenotypic classes were proposed, and five QTL were identified through six significant SNPs.ConclusionsLightness of seed coat color at harvest showed an oligogenic inheritance corroborated by moderate broad-sense heritability and high genotypic correlation among the experiments. Only three QTL were significant for this trait – two were mapped on Pv04 and one on Pv10. Considering the ΔL, six QTL were mapped on four different chromosomes for PHD. The same HL QTL at the beginning of Pv10 was also associated with ΔL* and could be used as a tool in marker-assisted selection. Several candidate genes were identified and may be useful to accelerate the genetic breeding process.

Metabolite Profiling and Transcriptome Analysis Provide Insight into Seed Coat Color in Brassica juncea.

The allotetraploid species Brassica juncea (mustard) is grown worldwide as oilseed and vegetable crops; the yellow seed-color trait is particularly important for oilseed crops. Here, to examine the factors affecting seed coat color, we performed a metabolic and transcriptomic analysis of yellow- and dark-seeded B. juncea seeds. In this study, we identified 236 compounds, including 31 phenolic acids, 47 flavonoids, 17 glucosinolates, 38 lipids, 69 other hydroxycinnamic acid compounds, and 34 novel unknown compounds. Of these, 36 compounds (especially epicatechin and its derivatives) accumulated significantly different levels during the development of yellow- and dark-seeded B. juncea. In addition, the transcript levels of BjuDFR, BjuANS,BjuBAN, BjuTT8, and BjuTT19 were closely associated with changes to epicatechin and its derivatives during seed development, implicating this pathway in the seed coat color determinant in B. juncea. Furthermore, we found numerous variations of sequences in the TT8A genes that may be associated with the stability of seed coat color in B. rapa, B. napus, and B. juncea, which might have undergone functional differentiation during polyploidization in the Brassica species. The results provide valuable information for understanding the accumulation of metabolites in the seed coat color of B. juncea and lay a foundation for exploring the underlying mechanism.

Seed Management and Quality of Farmer Saved Seeds of Bambara groundnut from North Western, Northern and Eastern Uganda

&#x0D; Bambara groundnut (BG) is a protein and energy-rich legume crop of African origin with the potential to contribute to food and nutrition security. There is limited information on seed man­agement and quality of farmer saved seed of BG in Uganda. This study was conducted to inves­tigate seed management practices and evaluate the quality of farmer saved seed from Uganda. Four hundred BG farmers were chosen using purposive sampling and information gathered on their seed management. A semi-structured questionnaire was used to interview the farm­ers. Seed colour and size determination, standard germination and electrical conductivity tests were done on seed samples collected from farmers. Results from survey revealed that farmers recycled seeds for more than 4 years (39.2%) and maintained mostly single landraces (52.5%). Seed was sun-dried on the ground (81%), stored in gunny bags (93.5%), and threshed mostly by hand (52.0%). Collected landraces had varied seed coat colours and significantly differed at p = 0.05 in their seed sizes, final germination percentage (FGP), electrical conductivity (EC), germination velocity index and seedling vigour index II (SVI-II). Local Bam landrace recorded highest SVI-II (485.3) and EC (0.52MSg-1) while TVSU 688 landrace recorded the highest FGP (96.0%) and lowest EC (0.06MSg-1).

Identification of unique alleles and assessment of genetic diversity of soybean genotypes using SSR markers and seed traits

Thirty polymorphic SSR markers and seven seed traits were used to determine the genetic diversity among twenty five soybean genotypes that differ with respect to seed coat color. A total of 133 alleles were detected and the number of alleles for each SSR locus varied from two to seven with an average of 4.0. Polymorphic information content varied from 0.81 to 0.07. Jaccard’s similarity coefficient grouped the genotypes into two major clusters. To test the goodness of fit of clusters to SSR markers, cophenetic correlation was estimated. Cophenetic value of 0.98 indicated a very good fit. A combination of SSR and seed traits data grouped the genotypes into two major clusters with grouping of all the brown seeded genotypes into one subcluster. A total of 21 unique alleles were identified in twenty five soybean genotypes which is a valuable resource for DNA fingerprinting studies. A set of nine SSR markers (Satt 600, Satt 463, Satt 371, Satt 193, Satt 538, Satt 126, Satt 286, Satt 281 and Satt 656) could differentiate all the soybean genotypes. Key WordsGenetic diversity, SSR markers, Soybean, unique alleles, seed traits

Effect of chilling acclimation on germination and seedlings response to cold in different seed coat colored wheat (Triticum aestivum L.)

BackgroundFlavonoids can protect plants against extreme temperatures and ROS due to their antioxidant activities. We found that deep-purple seed coat color was controlled by two gene interaction (12:3:1) from the cross between yellow and deep-purple seed coat colored inbreds. F2:3 seeds were grouped in 3 by seed coat color and germinated under chilling (4 °C) and non-acclimated conditions (18 °C) for a week, followed by normal conditions (18 °C) for three weeks and a subsequent chilling stress (4 °C) induction. We analyzed mean daily germination in each group. Additionally, to study the acclimation in relationship to the different seed coat colors on the germination ability and seedling performances under the cold temperatures, we measured the chlorophyll content, ROS scavenging activity, and expression levels of genes involved in ROS scavenging, flavonoid biosynthetic pathway, and cold response in seedlings.ResultsThe results of seed color segregation between yellow and deep purple suggested a two-gene model. In the germination study, normal environmental conditions induced the germination of yellow-seed, while under chilling conditions, the germination ratio of deep purple-seed was higher than that of yellow-colored seeds. We also found that the darker seed coat colors were highly responsive to cold acclimation based on the ROS scavenging enzymes activity and gene expression of ROS scavenging enzymes, flavonoid biosynthetic pathway and cold responsive genes.ConclusionsWe suggest that deep purple colored seed might be in a state of innate pre-acquired stress response state under normal conditions to counteract stresses in a more effective way. Whereas, after the acclimation, another stress should enhance the cold genes expression response, which might result in a more efficient chilling stress response in deep purple seed seedlings.Low temperature has a large impact on the yield of crops. Thus, understanding the benefit of seed coat color response to chilling stress and the identification of limiting factors are useful for developing breeding strategies in order to improve the yield of wheat under chilling stress.

Antioxidant and antibacterial activity of ethanolic extract of safflower with contrasting seed coat colors

The present study aimed to investigate total flavonoid (TFC), cyanidin-3-glucoside (Cyd-3-glu) content, and anti-oxidant and antibacterial activities of ethanolic seed coat extract of two safflower genotypes (genotype C111 and A82) with contrasting seed coat colors. Despite the absence of Cyd-3-glu in seed coat extracts of white-seeded genotype C111 versus black-seeded genotype A82 and equal TFC index between the two genotypes, there was no significant difference in their antioxidant activity. Also, the ethanolic extract has growth inhibitory properties in pathogenic bacteria. It seems that differences in type and level of secondary metabolites of the seed coat with different color patterns can result in the ethanolic extract’s antioxidant activity. In addition, the results confirmed that seed coat color has not effect on the level (or severity) of the antibacterial properties of ethanolic seed coat extract.

TECHNOLOGICAL-NUTRITIONAL QUALITY TRAITS AND RELATIONSHIP TO BIOACTIVE COMPOUNDS IN MESOAMERICAN AND ANDEAN BEANS

ABSTRACT The common bean exhibits wide genetic variability for technological quality traits, mineral concentrations, and bioactive compounds. For this reason, investigating the correlations between those traits in common bean lines of different gene pools contributes to the progress of biofortification programs. In the present study, two recombinant inbred line populations of Mesoamerican and Andean common bean were evaluated at the F5:7 generation. Technological quality was evaluated based on mass of 100 grains and seed coat color, which was determined using a colorimeter that analyzed the L* (white to black), a* (green to red) and b* (blue to yellow) values. The concentration of six minerals and bioactive compounds (phytates and phenolic compounds) was evaluated and used to characterize the nutritional composition of the lines. The evaluated common bean lines differed (p ≤ 0.05) for all technological quality traits, mineral concentrations, and bioactive compounds, except for the zinc concentration in Andean beans. Seed coat color (L*, a*, and b* values) was highly correlated with most of the evaluated minerals and with the phytates in Mesoamerican beans. In Andean beans, seed coat color (L*, a*, and b* values) was correlated with the concentrations of potassium, magnesium, iron, and phenolic compounds. The nutritional composition of common bean lines of different classes is variable: black beans have higher concentrations of potassium, phosphorus, calcium, zinc, and phytates; carioca beans stand out with high magnesium concentration; and cranberry beans have higher concentrations of potassium, magnesium, and iron.