Fruit Traits Research Articles

Exploring Genomic Regions Associated with Fruit Traits in Pepper: Insights from Multiple GWAS Models

This study utilized 303 pepper accessions from diverse Capsicum species to explore fruit traits, including length, width, wall thickness, and weight. Descriptive statistics revealed a mean fruit length of 66.19 mm, width of 23.48 mm, wall thickness of 1.89 mm, and weight of 15.29 g, with significant variability, particularly in fruit weight. Correlation analysis demonstrated strong positive relationships between fruit width, weight, and fruit wall thickness (r = 0.89 and r = 0.86, respectively), while fruit length showed weaker correlations with these traits. Analysis of fruit positions revealed that the majority of accessions had a pendent fruit position (156), followed by erect (85) and intermediate (8). In terms of fruit shape, triangular and narrow triangular shapes were the most common, observed in 102 and 98 accessions, respectively. Genome-wide association studies (GWAS) identified significant single nucleotide polymorphisms (SNPs) associated with fruit traits across four models (Blink, FarmCPU, MLM, MLMM). The number of significantly associated SNPs were as follows: fruit length (89), fruit width (55), fruit weight (63), fruit wall thickness (48), fruit shape (151), and fruit position (51). Several genes were also identified where the SNPs are located or adjacent to, providing candidate genes for further exploration of the genetic basis of fruit morphology. Notably, genes such as E3 ubiquitin-protein ligase RGLG1 (associated with fruit width), Homeobox-leucine zipper protein HDG11 (involved in fruit width), Auxin response factor 23 (linked to fruit shape), and ATP-dependent zinc metalloprotease FtsH (related to fruit weight) were identified. These findings enhance our understanding of the genetic basis of fruit morphology in Capsicum, offering valuable insights for breeding and agricultural practices.

Phenotypic Diversity of Morphological Traits of Pitahaya (Hylocereus spp.) and Its Agronomic Potential in the Amazonas Region, Peru

Pitahaya (Hylocereus spp.) is an economically significant cactus fruit in Peru, renowned for its rich nutritional profile and antioxidant properties while exhibiting wide biological diversity. This study aimed to morphologically characterize seven pitahaya accessions using qualitative and quantitative descriptors related to the cladodes, flowers, and fruits. Univariate and multivariate (FAMD, PCA, MCA, and clustering) analyses were employed to identify and classify the accessions based on their morphological traits. The analyses revealed three distinct groups: one consisting solely of AC.07; another with AC.02, AC.04, and AC.06; and a third including AC.01, AC.03, and AC.05. The first group exhibited superior characteristics, particularly in fruit traits such as the stigma lobe count (23.3), number of bracts (26.5 mm), and length of apical bracts (15.75 mm). The second group recorded the highest spine count (3.21), bract length (16.95 mm), and awn thickness (5.12 mm). The third group had the highest bract count (37) and an average locule number (23.65). These findings highlight the significant morphological diversity among the accessions, indicating the potential for classification and selection in pitahaya cultivation. The potential of AC.07 stands out in terms of its agronomic qualities, such as its fruit weight (451.93 g) and pulp weight (292.5 g), surpassing the other accessions.

Characterization of Drupe Traits in Sixty-Six Teak Candidate Plus Trees (CPTs) in Gujarat Forests of India for Enhanced Seed Collection and Fruit Production

The most valuable timber of the world i.e., teak was recognized as king of wood due to its wood quality such as durability, physical and aesthetic wood property for multiple uses. It is distributed throughout India and Southeast Asia and known for center of teak genetic diversity. It has a high demand in international market and national market due to multifarious uses. However, the natural population of Teak is decreasing in India due to anthropogenic activities, deforestation, climate change and other environmental factors. In addition, the poor seed yield per tree and extremely low seed germination rates are significant problems for the teak plantation industry and production of quality seed. Nevertheless, there are huge gap between demand and supply of industrial timber in India. This can be fulfilled by the teak plantation within agroforestry systems and degraded forest lands. Gujarat forest has natural teak populations which falls in the conjunction point of Western Ghats of India. Hence, sixty-six CPTs of teak were screened out for quality seed collection and reproduction from natural teak populations. Fruits of teak were collected from various CPTs with wide range of geographic locations in Gujarat forests of India. The drupe and stone morphometric traits were studied to capture the phenotypic and genotypic variations; to select better traits on the basis of repeatability coefficient; and to look geographic location effect on various fruit characters and inter-character correlations for quality seed collection and fruit production. Present result showed significant differences (p≤ 0.0001) in all the studied fruit traits among 66 CPTs of Tectona grandis. Drupe were lengthiest in GJNBD 0467 (12.36 mm), broadest in the GJNBD 0467 (14.75 mm) and heaviest in the GJAH 1056 (0.73 g) CPT, whereas smallest in GJNBD 1122 (8.3 mm), narrowest in GJNBD 1122 (9.91 mm) and lightest in GJNBD 1122 (0.32 g) CPT. Stone were longest in GJNBD 0467 (8.71 mm), thickest in GJAH 1056 (10.01 mm) and heaviest in GJAH 1056 (0.51 g) CPT, while shortest in GJNBD 1122 (6.06 mm), thinnest stone in GJNBD 1122 (7.56 mm) and lightest in GJNBD 0772 (0.22 g) CPT. Overall, GJNBD 0467, GJAH 1056, GJNBD 0950, GJAH 0844 and GJNBD 0470 CPTs were superior for studied traits as compared to others. CPT repeatability coefficient was higher for drupe characters as compared to stone parameters, where selection can be made for drupe length for future tree improvement programme. The genetic improvement via CPT selection is better option for maintaining genetic diversity of Teak, its conservation and management. Latitude showed strong negative correlation with drupe length, stone length and drupe mass. Longitude was negatively correlated with stone length and width. Thus, the geographical parameter has an impact on the seed formation, evolution and plant fitness. The strong correlations were found among seed morphometric characters which influenced to seed development and creating fitness interaction with continuous changing environment.

SSR markers based QTL mapping and genetic analysis for yield and yield-attributing traits in bitter gourd (Momordica charantia L.)

The present study was conducted for QTL mapping for yield and other yield attributing traits in bitter gourd using Simple Sequence Repeat (SSR) markers. A total of 630 SSR markers were screened for polymorphism in two contrasting parents (DBGS-2 and Pusa Purvi), out of which only 35 were polymorphic. F1 plants (10 individuals) in which hybridity was ascertained (using these polymorphic markers); were further employed for development of mapping population (F2) consisting of 120 plants. Higher variation was present in the mapping population as evident from the wider range value of the characters. Continuous frequency distribution classes combined with bell-shaped, symmetrical normal distribution curve, revealed the quantitative inheritance nature of the traits studied. Higher PCV than the GCV for all the traits, along with high difference between the PCV and GCV for majority of traits indicated higher influence of environment in expression of these traits in the mapping population. Presence of transgressive segregation was also noted for majority of the traits. Amongst the various linkage groups (LG), LG 4 had the maximum number of markers, covering 171.07 cM map distance. LG4 also possessed the maximum number (nine) of QTLs while LG1 had six. QTL mapping using polymorphic SSRs resulted in detection of a total of 28 QTLs for fourteen traits viz. yield per plant (kg), earliness or flower related traits (node to first female flower, node to first male flower, days to first male flower, male to female flower ratio), fruit traits (fruit number per plant, fruit diameter (cm), fruit length/ diameter ratio, pericarp thickness (mm) and number of seed per fruit) and vegetative traits (internodal length (cm), number of primary branches, leaf width (cm), length and width ratio). The LOD score of these QTLs ranged from 3.01 to 64.47, the total phenotypic variances (PVE) ranged from 1.52 to 34.57 % and additive effects ranged from –3.69 to 17.07. Of the total, nineteen were major QTLs, having PVE >10 %. Three QTLs were detected for yield per plant while a total of seven for the traits imparting earliness viz. days to first male flower, node to first female flower and node to first male flower. Amongst all the QTLs detected, qFrtLDR-4-1 (K) had the maximum LOD (64.47) and PVE (34.57 %) value. Two hotspots were detected with multiple QTLs clustered in the LG 1. The first hotspot possessed four QTLs [qLfW-1-1, qMFR-1-1 (K), qSPF-1-1, qNFmlF-1-1 (K)] while the second had two related to yield per plant [qYldpl-1-1 (K) and qYldpl-1-1]. Many of these QTLs are also being reported for the first time in bitter gourd. The findings of the present study can be used to fasten the bitter gourd improvement by utilizing these in MAS, DNA fingerprinting, genetic mapping, genomics analysis etc.

Predicting oil accumulation by fruit image processing and linear models in traditional and super high-density olive cultivars

The paper focuses on the seasonal oil accumulation in traditional and super-high density (SHD) olive plantations and its modelling employing image-based linear models. For these purposes, at 7-10-day intervals, fruit samples (cultivar Arbequina, Fasola, Frantoio, Koroneiki, Leccino, Maiatica) were pictured and images segmented to extract the Red (R), Green (G), and Blue (B) mean pixel values which were re-arranged in 35 RGB-derived colorimetric indexes (CIs). After imaging, the samples were crushed and oil concentration was determined (NIR). The analysis of the correlation between oil and CIs revealed a differential hysteretic behavior depending on the covariates (CI and cultivar). The hysteresis area (Hyst) was then quantified and used to rank the CIs under the hypothesis that CIs with the maximum or minimum Hyst had the highest correlation coefficient and were the most suitable predictors within a general linear model. The results show that the predictors selected according to Hyst-based criteria had high accuracy as determined using a Global Performance Indicator (GPI) accounting for various performance metrics (R2, RSME, MAE). The use of a general linear model here presented is a new computational option integrating current methods mostly based on artificial neural networks. RGB-based image phenotyping can effectively predict key quality traits in olive fruit supporting the transition of the olive sector towards a digital agriculture domain.

Impacts of land use and abiotic factors on fruit, seed, and leaf morphology of the desert date Balanites aegyptiaca in Benin: Implications for management

Preserving intraspecific phenotypic variation within socio-economically important but declining species is fundamental in the current context of rapid change in land use and environmental conditions. Balanites aegyptiaca (L.) Delile is a valuable seed oil tree species native to the arid and semi-arid regions of Africa. Notable morphological variations within the species are recognized by local communities, who often select trees with preferred traits for preservation in croplands. This study compared phenotypic variation in B. aegyptiaca based on sixteen phenotypic traits of fruits, seeds, and leaflets between trees in a strictly protected area and those in croplands. Furthermore, the relative role of land use, soil characteristics, bioclimatic variables, elevation, and slope in the observed variation was analysed. Student t-test, principal component analysis, redundancy analysis, and variance partitioning were used for data analysis in R software. Results showed that, after accounting for tree variation, significant differences were observed in only two traits: seed ratio, and leaflet dry weight, with mean values in cropland being 1.470 (higher), and 0.943 (lower) times that of wild trees, respectively. Furthermore, principal component analysis showed great overlap between ellipses of cropland and wild trees. The variance partitioning analysis showed that bioclimatic variables explained 18 % of the total variation followed by soil characteristics (11 %), and land use (9 %). These findings collectively suggest weak impacts of croplands and a lack of domestication syndrome in B. aegyptiaca in Benin, potentially due to persisting gene flow between wild and cropland trees, inadvertent species management, or low intensity of selection pressures. Future studies should explore organoleptic properties, physico-chemical characteristics of the pulp and seed oil and discern the extent to which observed differences are attributable to genetic factors and biotic factors (pest attacks, plant-plant interactions, etc.).

CRISPR-Cas9: Unraveling Genetic Secrets to Enhance Floral and Fruit Traits in Tomato.

Tomato, a globally consumed vegetable, possesses vast genetic diversity, making it suitable for genetic manipulation using various genetic improvement techniques. Tomatoes are grown extensively for their market value and health benefits, primarily contributed by enhanced yield and nutritional value respectively, influenced by floral and fruit traits. Floral morphology is maintained by genes involved in meristem size control, regulation of inflorescence transition, and pollen development. SP (SELF-PRUNING) and SP5G (SELF-PRUNING 5G) determine growth habit and flowering time. RIN (RIPENING INHIBITOR) and PG (POLYGALACTURONASE) are responsible for the shelf life of fruits. In addition to this, nutrition-enriched tomatoes have been developed in recent times. In this review, we comprehensively discuss the major genes influencing floral morphology, flowering time, fruit size, fruit shape, shelf life, and nutritional value, ultimately resulting in enhanced yield. Additionally, we address the advances in CRISPR/Cas9 applied for the genetic improvement of tomatoes along with prospects of areas in which research development in terms of tomato genetic improvement has to be advanced.

Natural variation in MdNAC5 contributes to fruit firmness and ripening divergence in apple

Abstract Fruit firmness is an important trait for characterizing the quality and value of apple. It is also serves as an indicator of fruit maturity, as it is a complex trait regulated by multiple genes. Re-sequencing techniques can be employed to elucidate variations in such complex fruit traits. Here, the whole genomes of 294 F1 hybrids of ‘Fuji’ and ‘Cripp's Pink’ were re-sequenced, and a high-density bin-map was constructed using 5,014 bin markers with a total map distance of 2,213.23 cM and an average map distance of 0.44 cM. Quantitative trait loci (QTLs) of traits related to fruit were mapped, and an A-T allele variant identified in the coding region of MdNAC5 was found to potentially regulate fruit firmness and ripening. The overexpression of MdNAC5A resulted in higher production of methionine and 1-aminocyclopropanecarboxylic acid compared to MdNAC5T, leading to reduced fruit firmness and accelerated ripening in apples and tomatoes. Furthermore, the activities of MdNAC5A and MdNAC5T were enhanced through their differential binding to the promoter regions of MdACS1 and MdERF3. Spatial variations in MdNAC5A and MdNAC5T caused changes in MdACS1 expression following their interaction with MdERF3. Ultimately, utilizing different MdNAC5 alleles offers a strategy to manipulate fruit firmness in apple breeding.

Mechanical Leaf Removal for Improved Botrytis Bunch Rot Control in Vitis vinifera 'Pinot gris' and 'Pinot noir' Grapevines in the Northeastern United States.

Late-season bunch rot can cause substantial yield loss in grapevines grown in humid regions. Fruit-zone leaf removal has been widely used to reduce bunch rot and pesticide applications through improvements in canopy microclimate and grape cluster morphology. In this study, we evaluated whether mechanical leaf removal can be a valid alternative to a labor-intensive manual application by comparing prebloom manual (PB-MA) and mechanical (PB-ME) leaf removal. We also evaluated the effects of the timing of mechanical application, prebloom (PB-ME) versus fruit set (FS-ME), on fruit traits and bunch rot, caused by Botrytis cinerea. Our trials were conducted on two Vitis vinifera 'Pinot noir' and 'Pinot gris' vineyards in the Northeastern United States over two seasons (2017 to 2018). Major findings were overall consistent between cultivars and years. Leaf removal provided reductions in fruit-zone canopy density regardless of method or timing. In general, PB-ME provided similar shifts in cluster morphological traits to PB-MA, including lower number of berries per cluster, cluster compactness, and cluster weight compared with control (no leaf removal) vines. At harvest, both prebloom leaf removal methods equally reduced Botrytis bunch rot severity, whereas Botrytis bunch rot incidence in Pinot noir was lowest for PB-ME in 1 year and PB-MA in the next year. When comparing timing of mechanical leaf removal, FS-ME provided Botrytis bunch rot reductions similar to PB-ME, without effects on cluster weight. Thus, under our growing conditions, FS-ME was considered the best mechanical leaf removal option to help manage Botrytis bunch rot without causing undesirable yield reductions.

Morphological Evaluation and Phenolic Content of Wild Prunus cerasifera Ehrh. Fruits from Slovenia

Wild fruit species offer significant nutritional, environmental, and economic benefits. Among them, Prunus cerasifera Ehrh. (myrobalan) stands out for its resilience and nutrient-rich fruits, traditionally consumed fresh or dried. This study aimed to assess the morphological and biochemical diversity of 21 wild P. cerasifera accessions from Slovenia, focusing on 18 fruit and stone traits, including size, shape, color, and phenolic compounds such as total monomeric anthocyanins and total phenolic content (TPC). The objective was to identify genotypes with potential for cultivation and food production or as parental components in breeding programs. The results showed variability in fruit length (2.19–2.82 cm), width (2.18–2.99 cm), weight (67.98–150.30 g), firmness, and juiciness, with notable differences in stone characteristics. Phytochemical analysis revealed a wide range of TPC (277–1756 mg/100 g) and anthocyanin levels (0–710 mg/100 g), with higher concentrations in darker fruits. Statistical analysis compared PAM and AGNES clustering methods, finding that PAM with five clusters and AGNES with two clusters provided similar insights. The study emphasized variability in morphological and chemical traits among clusters, with specific accessions showing particularly valuable traits, such as accession RK13, which had high TPC and anthocyanins and a non-adherent stone.

Ampelographic Diversity Assessment of Local Grape Genotype Grown in India

Grapevine is well adapted to the agro climatic conditions of India, which makes it one of the major element of the Indian horticulture. However, there has been limited focus on assessing grapevine germplasm, and genetic resources have previously remained underutilized despite their potential for adapting to environmental changes. This study aims to evaluate the diversity of local (developed in India) grapevine accessions growing in different regions in India. A total of 20 local varieties were evaluated using 14 fruit traits previously developed by DUS. An important variability was revealed among the local varieties studied based on fruit characteristics. The most discriminant traits were bunch weight, berry diameter, bunch length, berry weight, berry shape, seed number per berry. Hierarchical clustering analysis showed three main clusters, each regrouping accessions of different named varieties. Mean values of cluster for various yield parameters revealed that cluster I possessed maximum value for yield related attributes. Maximum bunch weight was observed in Manjari Medika (270.0g) followed by Pusa Seedless (243.1 g), Arka Shyam (213.5 g) while higher 50 berry weight (201.0 g) and berry diameter (20.30 mm) in Arka Majestic genotype. Arka Majestic and Manjari Medika showed better quality traits. Our results indicate a potential of morphological diversity within the local genotypes that should be further investigated in order to understand their performance and to evaluate them in selection programs.

Animal pollination shapes fruits market features, seeds functional traits and modulates their chemistry

In this study, we experimentally addressed the impact of different pollination treatments on the morphological, reproductive and chemical traits of fruits and seeds of two crop species, the wild strawberry (Fragaria vesca L.) and cowpea (Vigna unguiculata (L.) Walp.). Multiple flowers from each plant were exposed to different pollination treatments: (1) self pollination, (2) hand cross pollination and (3) open pollination. Both crops were positively affected by open pollination in terms of morpho-chemical parameters concerning the marketability (e.g., 35% decrease in sugar/acid ratio in open pollinated strawberries compared to the autogamous ones) and the seed germination rate as a proxy of reproduction efficiency (e.g., the almost complete absence of seed abortion in the open pollination treatment). Remarkably, the pollination treatment also strongly influenced the phytochemical composition. Open-pollinated strawberries exhibited a higher relative concentration of compounds endowed with nutraceutical properties such as anthocyanins, ellagic acid derivatives and flavonoids. At the same time, cowpea seeds displayed higher concentrations of anti-nutrients in the self pollination treatments, such as saponins, compared to the open and hand cross pollinated seeds. This study suggests the presence of a link between the pollination mechanism, market quality, plant reproduction and chemical properties of fruits and seeds, supporting the intricate interplay between pollinators, plants and human nutrition, highlighting the crucial importance of animal pollination in the ecological and dietary contexts.

Evaluation of Acid Lime (Citrus aurantifolia Swingle) Genotypes for Growth, Yield and Quality Traits

A study on evaluation of acid lime genotypes for growth, yield and quality traits was carried out at Citrus Research Station, Vannikonenthal, Manur Taluk and Tirunelveli district, Tamil Nadu during the year 2021–2023. Twenty five acid lime genotypes were selected for the experiment. Observation on quantitative traits such as tree height (m), tree spread (m), canopy spread (m2), tree girth (cm), leaf lamina length (mm), number of fruits/tree, mean fruit weight (g), fruit length (cm), fruit girth (cm), fruit volume (cc), number of seeds per fruit, yield/tree (kg) and qualitative traits such as total soluble solids (°Brix), acidity (%), juice content (ml), fruit juice percentage (%) and ascorbic acid content (mg/100g) were recorded. The present study results revealed that genotype SCA 19 recorded the highest values for the traits such as tree height (3.49 m), tree spread (3.58 m2 E-W; 3.74 m2 N-S), canopy spread (6.57 m3), leaf lamina length (58.40 mm) and tree girth (13.66 cm). However, genotype SCA 06 registered the lowest tree spread character. In the case of yield traits, genotype SCA 19 registered the highest values in number of fruits per tree (1080), mean fruit weight (58.75 g), yield per tree (57.89 kg per tree), number of seeds (9.10), fruit length (8.50 cm), fruit girth (4.90 cm) and fruit volume (54.81 cc). Regarding quality traits, SCA 19 observed the highest values viz., TSS (6.71˚Brix), acidity (6.78 %), ascorbic acid content (26.50 mg/100 g), fruit juice percentage (52.1 %) and juice content (46.0 ml). Hence, acid lime genotype SCA 19 recommended for further evaluation in different parts of Tamil Nadu.

An ultra-dense linkage map identified quantitative trait loci corresponding to fruit quality- and size-related traits in red goji berry.

Goji berries are a small-fruited shrub with industrial importance whose fruit considered beneficial in both fresh and dried forms. Current germplasms of goji berries include small fruits with a short shelf life, less sweet and bitter taste, and a lack of appropriate genetic information. This study aimed to employ whole genome resequencing to generate an ultra-dense bin linkage map and to elucidate the genetic basis of goji fruit quality and size using quantitative trait loci (QTL) mapping analysis in a cross-pollinated hybrid population. To achieve this goal, human sensory tests were carried out to determine the bitter taste (BT) and sweet taste (ST), and to quantify the soluble solid content (SSC), fruit firmness (FF), and fruit size-related traits of fresh goji fruits over three or four years. The results revealed that the goji bin linkage map based on resequencing spanned a total length of 966.42 cM and an average bin interval of 0.03 cM. Subsequent variant calling and ordering resulted in 3,058 bins containing 35,331 polymorphic markers across 12 chromosomes. A total of 99 QTLs, with individual loci in different environments explaining a phenotypic variance of 1.21-16.95% were identified for the studied traits. Ten major effects, including colocalized QTLs corresponding to different traits, were identified on chromosomes 1, 3, 5, 6, 7, and 8, with a maximum Logarithm of Odds (LOD) of 29.25 and 16.95% of explained phenotypic variance (PVE). In addition, four stable loci, one for FF, one for fruit weight (FW), and two for fruit shape index (FSI), were mainly mapped on chromosomes 5, 6, and 7, elucidating 2.10-16.95% PVE. These findings offer valuable insights into the genetic architecture of goji fruit traits along with identified specific loci and markers to further improve and develop sweeter, less bitter and larger fruited goji berry cultivars with extended shelf life.

Genetic mapping and molecular marker development for white flesh color in tomato.

Fruit color significantly influences the quality of horticultural crops, which affects phytochemical diversity and consumer preferences. Despite its importance, the genetic basis of the white-colored fruit in tomatoes remains poorly understood. In this study, we demonstrate that white-fleshed tomato varieties accumulate fewer carotenoids than yellow-fleshed varieties. We developed various segregating populations by hybridizing red, yellow, and white fruit tomato cultivars. Genetic analysis revealed that the white fruit color trait is controlled by a single gene that dominates both red and yellow fruits. Bulk segregant RNA sequencing provided a preliminary map of a 3.17 Mb region on chromosome 3 associated with the white color trait. Based on kompetitive allele-specific PCR (KASP) markers, we narrowed the candidate gene region to 819 kb. Within this region, we identified a 4906-bp sequence absence variation near Phytoene Synthase 1 (SlPSY1) specific to white-colored tomatoes. Genotyping of the progeny and natural populations using a single nucleotide polymorphism adjacent to this absence of variation confirmed its key role in white fruit formation. Collectively, our findings provide insights into white fruit trait formation in tomatoes, enabling tomato breeders to precisely introduce white fruit traits for commercial exploitation.

Evaluation on Morphological and Quality Attributes of Mango Cultivars in Western Uttar Pradesh

The study aimed to assess the morpho-economic and biochemical attributes of twelve mango cultivars grown in western Uttar Pradesh, using pooled data from the years 2021-22 and 2022-23 and conducted at Horticulture Research Center of Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut, the experiment utilized a Randomized Block Design (RBD) with four replications per treatment. The cultivars are regular bearers included Ambika, Pusa Arunima, Dashehari-51, Kesar, Pusa Surya, Amrapali, Mallika, Burma Surakha, Neelum Chausa, Mithua Malda, Rataul and Saurav, all planted in 10-year-old orchards with a spacing of 6x6 meters. The study aimed to evaluate the morpho-economic and biochemical attributes of twelve mango cultivars in western Uttar Pradesh, identify the most suitable cultivars for the region and determine the cultivars with the most marketable fruit traits. Additionally, it sought to assess the genetic diversity among the cultivars for future breeding programs. The results demonstrated significant differences in morpho-economic and quality attributes among the cultivars. Mallika, Pusa Arunima and Amrapali emerged as superior varieties, excelling in tree morpho-economic and quality attributes, while others were classified as moderate. Mallika and Pusa Arunima were identified as the highest-yielding varieties, based on the mean number of fruits per plant and fruit weight over the two-year period. Furthermore, the fruits of Mallika, Pusa Arunima, Amrapali, Rataul and Kesar exhibited the most marketable attributes. The findings underscore the significant genetic and environmental influences on mango attributes. Mallika and Pusa Arunima consistently demonstrated superior performance in yield, fruit quality and biochemical attributes, positioning it as a promising cultivar for the region. The diversity observed among the cultivars highlights the need for targeted selection and management practices to optimize mango production and quality. The study also emphasizes the importance of preserving and conserving these unique genetic resources for future breeding programs aimed at developing new, commercially viable cultivars.

Floral Morphological Variation in Black Pepper (Piper nigrum L.) Varieties and Hybrid Lines

The inter-variety crossing is a promising approach to increase black pepper production. However, successful hybridization hinges on floral characteristics. This study investigated the floral morphology of diverse pepper varieties and their hybrid offspring. Eighteen genotypes, including parent varieties and F1 hybrids, were cultivated in pots under greenhouse conditions at the Indonesian Spice and Medicinal Crops Research Institute, Bogor. Flower and fruit traits were observed. Results indicated variability in spike morphology. While most ripe spikes were yellowish-green, exceptions included LH 20-1 and LH 22-1. Ciinten and LH 4-5 displayed superior spike length and fruit set, contrasting with the shorter, less productive spikes of 20-1, 22-1, and 455-N2-97. Stigma receptivity and another dehiscence coincided in Ciinten, N2BK, LH 6-2, and LH 4-5, simplifying the hybridization process. Conversely, earlier stigma receptivity in Petaling 1, Petaling 2, Natar 1, Natar 2, LH 44-9, LH 20-1, and LH 22-1 facilitated castration procedures. These findings offer valuable insights for optimizing pepper breeding programs.

Assessment of Elite Mulberry Genotypes for Fruit Traits and Biochemical Composition

This study aimed to identify the most promising mulberry genotypes for fruit production by evaluating fruit characteristics, biochemical traits and nutritional composition. Eight elite mulberry genotypes were selected from the mulberry germplasm unit at the Department of Sericulture, GKVK, Bengaluru. The saplings were raised and transplanted into the main field 90 days after planting, following a Randomized Complete Block Design (RCBD) with a spacing of 5 × 3 feet, with three replications per genotype. The results revealed that among the eight genotypes, ME-0006 exhibited superior fruit characteristics, with the highest values for fruit length (3.16 cm), fruit width (2.01 cm), fruit weight (3.02 g) and fruit yield per plant (166.55 g). Biochemical analyses indicated that ME-0220 had the highest total soluble solids (TSS) (19.71°B), carbohydrate content (166.49 mg/g), anthocyanin (38.41 mg/g), and zinc content (mg/100g). Genotype ME-0006 recorded the highest calcium content (153.80 mg/100 g), while MI-0014 showed the highest levels of phosphorus, potassium, and magnesium. Additionally, ME-0086 was notable for its higher content of micronutrients and vitamin C (34.17 mg/100 g). These findings may provide valuable insights for selecting mulberry genotypes with superior fruit yield and biochemical properties, which can be further utilized in breeding programs and commercial mulberry fruit cultivation.

Assessment of Fruit and Seed Morphological Traits of Underutilized Wild Edible Fruits from the Eastern Himalayan Tracts, India

Assessment of Fruit and Seed Morphological Traits of Underutilized Wild Edible Fruits from the Eastern Himalayan Tracts, India

Genomic structure and marker-trait association for plant and fruit traits in Capsicum chinense and Capsicum baccatum germplasm

ObjectivesCapsicum baccatum and C. chinense are domesticated pepper species originating from Latin America recognized for their unique flavor and taste and widely diffused as spicy food for fresh uses or for processing. Owing to their capacity for adaptation to diverse habitats in tropical regions, these species serve as a valuable resource for agronomic traits and tolerance to both biotic and abiotic challenges in breeding projects. This study aims to dissect the genetic diversity of C. baccatum and C. chinense germplasm and to detect candidate genes underlying the variation of plant morphological and fruit size and shape traits. To that goal, SNP data from genotyping by sequencing have been used to investigate the genetic diversity and population structure of 103 accessions belonging to the two species. Further, plants have been assessed with main plant descriptors and fruit imaging analysis and association between markers and traits has been performed.ResultsThe population structure based on 29,820 SNPs revealed 4 subclusters separating C. chinense and C. baccatum individuals. A deeper analysis within each species highlighted three subpopulations in C. chinense and two in C. baccatum. Phenotypic characterization of 54 traits provided approximately 125 thousand datapoints highlighting main differences between species for flower and fruit traits rather than plant architecture. Marker-traits association, performed with the CMLM model, revealed a total of 6 robust SNPs responsible for change in flower traits and fruit shape. This is the first attempt for mapping morphological traits and fruit features in the two domesticated species, paving the way for further genomic assisted breeding.