Hybrid Programming Research Articles

ASSESSMENT OF SELECTED QUANTITATIVE TRAITS IN A GROUP OF SPRING BARLEY GENOTYPES OF DIVERSE ORIGINS UNDER TRANSYLVANIAN PLATEAU CONDITIONS

The success of a breeding program is closely linked to the variability of morpho-productive traits of interest and their stability in interaction with biotic and abiotic factors. This study evaluated 15 genotypes of spring barley originating from eight countries, including two varieties developed at ARDS Turda (Romania), focusing on key production elements. Given the ongoing changes in environmental conditions, breeders are increasingly interested in varieties with stable yields. Notable genotypes in this regard include RGT Planet, Isaria, Romanița, Turdeana, Avalon, Nimrooz, Quilmes Carisma, Quilmes Alfa, and Tanai. For enhancing resistance to lodging through reduced plant height, the cultivars Rocaforte, RGT Planet, Maja, Avalon, Quilmes Alfa, and Quilmes Carisma are recommended for inclusion in future hybridization programs. We recommend the use of these cultivars in a complex hybridization system to optimize their potential as parent lines.

Varietal Characterization and Selection of Superior Parents for Hybridization Programme in Greengram [Vigna radiata (L.) Wilczek

The present study was conducted to examine the genetic basis of yield and its related components, enabling selection based on heritability and genetic gain. The experiment involved the evaluation of fourteen accessions of green gram in Kharif season of year 2024 in a randomized complete block design. Data were collected from ten important yield related characters and analysed statistically. ANOVA revealed significant variation in the genetic material used in the study. Among the studied genotypes, CO 7, CO 4, CO 8, and CO 6 were identified as superior for seed yield based on their mean performance.The phenotypic coefficient of variation exceeded the genotypic coefficient of variation, indicating that the observed variation between the two is primarily due to the genotypes, with minimal environmental influence. Notably, single trait, number of pods per plant exhibited both high heritability and high genetic advance.

Assessment of combining ability and heterosis in bottle gourd (Lagenaria siceraria L.) for yield and attributes character through line × tester design

General and specific combining ability variance and their effects were studied for thirteen characters in line × tester mating design in bottle gourd. Based on overall per se performance and among the parents, Narendra Dharidar, Punjab Long, and parents Narendra Rashmi were identified as good specific combiners for a maximum of 5 to 6 attributes, including yield for other contributing traits, suggesting that these parents may be used in the hybridization program aimed at the development of superior genotypes/varieties in bottle guard. Tester Arka Bahar and Narendra Madhuri were considered to be good general combiners for 6 to 8 characters. These parents must be utilized in a suitable breeding programme visa-vis selection breeding for improvement productivity of yield and per unit area in bottle gourd. Based on overall results and per se performance, the F1 hybrids, i.e. Pusa Sandesh × Kashi Ganga, IC-321747 × Narendra Madhuri, and NDBG-132 × Narendra Madhuri emerged to be the good specific combiners for maximum traits, including yield, which may be utilized for obtaining transgressive segregants in the next generation. Out of sixty-four cross combinations, only seventeen hybrids revealed superiority over better parents for yield. The seventeen cross combinations that showed more than 24% heterobeltiosis over better parents include: IC-498541×Narendra Madhuri, IC-592210×Arka bahar, Pusa Sandesh×Narendra Madhuri, NDBG-132×Pusa Naveen, Narendra Rashmi×Kashi Ganga, IC-321412×Pusa Naveen, Narendra Rashmi×Arka bahar, Narendra Rashmi×Pusa Naveen, Narendra Dharidar×Narendra Madhuri, Pusa Sandesh×Kashi Ganga, NDBG-132×Arka bahar, NDBG-132×Narendra Madhuri, Punjab long×Narendra Madhuri, Narendra Jyothi×Narendra Madhuri, IC-592210×Arka bahar, IC-338119×Arka bahar and IC- 498541×Kashi Ganga. This suggests that there is a great possibility to produce higher yielding varieties/genotypes.

The Potential of Plant Tissue Cultures to Improve the Steviol Glycoside Profile of Stevia (Stevia rebaudiana Bertoni) Regenerants.

The use of in vitro cultures in plant breeding allows for obtaining cultivars with improved properties. In the case of Stevia rebaudiana Bert., genotypes with an appropriate rebaudioside A/stevioside ratio are desirable. The use of indirect organogenesis allows for the induction of somaclonal variation, which, consequently, results in obtaining variability within the regenerants. The Murashige and Skoog medium containing 4.0 mg × dm-3 6-benzylaminopurine (BAP), 2.0 mg × dm-3 1-naphthaleneacetic acid (NAA), and 2.0 mg × dm-3 2,4-dichlorophenoxyacetic acid (2,4-D) resulted in obtaining plants that were biochemically and genetically diverse. The obtained regenerants were characterized by an increased content of rebaudioside A and a better rebaudioside A/stevioside ratio. Genetic analysis using SCoT (start-codon-targeted) markers showed their diversity at the molecular level. Moreover, this study showed that genotype multiplication through six subsequent re-cultures does not cause variability at the genotype level and does not affect the steviol glycoside profile. This study is the first report on obtaining genotypes with higher rebaudioside A content and a more attractive rebaudioside A to stevioside ratio through the use of in vitro cultures. The improved regenerants can be used as parents in hybridization programs or directly as valuable new genotypes.

Virtual versus in-person didactic modalities: A national survey of emergency medicine residencies.

Following the widespread shift from in-person to virtual delivery of didactics during the COVID-19 pandemic, some emergency medicine (EM) residency programs have retained virtual didactic time while others have returned exclusively to in-person didactics. In this national survey of EM residency programs, we explored the current national distribution of virtual versus in-person didactic time and the circumstances and motivators for use of each. A cross-sectional survey with branched logic was designed via Qualtrics. Distribution was via a Council of Residency Directors in Emergency Medicine (CORD) listserv; nonresponding programs were emailed directly with subsequent reminders. Analysis and descriptive statistics were calculated via Microsoft Excel. All authors performed thematic analysis of narrative comments. We received responses from 174 of 281 programs (61.9%). "Hybrid" programs utilizing both in-person and virtual time represented 51.7% of respondents, and the remaining 49.3% used in-person didactics only. Among hybrid programs, 77.3% utilized in-person conferences greater than 75% of the time. Simulation (100%) and procedural teaching (99%) were most strongly preferred in person, and oral boards practice (30.2%) was supported virtually. The most common motivations for in-person delivery were perceived impact on resident and/or faculty learning (86.8%), perception of resident engagement (79.3%), community building (74.7%), type of learning sessions (70.1%), and perceived impact on resident and/or faculty wellness (59.8%). Top reasons for choosing virtual didactics were perceived convenience for residents (75.6%) or faculty (60.0%) and perceived impact on resident and/or faculty wellness (43.3%). Nationwide, EM residency programs spend most didactic time in person. Modality choice is influenced by didactic content as well as sociocultural considerations. Future investigation into the validity of perceptions that participants are more engaged and learn better with in-person didactics is warranted.

Civil engineering employers’ engagement in work-integrated learning

In this paper, two case studies of enhancing undergraduate students’ learning through work-integrated learning are presented. Both interventions involve university–industry partnerships with local and regional civil engineering employers. Industry Mentoring (2010–2024) is a curricular activity with an authentic assessment. Third-year student mentees (n = 1130) were mentored by 298 practising civil engineers, representing 80 employers. Civil Engineering 4 Real (CE4R, 2012–2024) is a co-curricular hybrid programme of problem/project-based evening workshops (n = 133), attended by 594 students with around 2867 student attendances, supported by 218 engineers, representing 76 employers. Industry Mentoring and CE4R support students to network with employers, enhance their employability skills, and shape their professional identity. Through their free assistance, employers have established a talent pipeline, recruiting students for summer placements and graduate jobs. For employers, their engagement provides evidence of enacting their corporate social responsibility through providing a social value contribution to a local university.

Quantifying the Enhancement of Sarcopenic Skeletal Muscle Preservation Through a Hybrid Exercise Program: Randomized Controlled Trial.

Sarcopenia is characterized by the loss of skeletal muscle mass and muscle function with increasing age. The skeletal muscle mass of older people who endure sarcopenia may be improved via the practice of strength training and tai chi. However, it remains unclear if the hybridization of strength exercise training and traditional Chinese exercise will have a better effect. We designed a strength training and tai chi exercise hybrid program to improve sarcopenia in older people. Moreover, explainable artificial intelligence was used to predict postintervention sarcopenic status and quantify the feature contribution. To assess the influence of sarcopenia in the older people group, 93 participated as experimental participants in a 24-week randomized controlled trial and were randomized into 3 intervention groups, namely the tai chi exercise and strength training hybrid group (TCSG; n=33), the strength training group (STG; n=30), and the control group (n=30). Abdominal computed tomography was used to evaluate the skeletal muscle mass at the third lumbar (L3) vertebra. Analysis of demographic characteristics of participants at baseline used 1-way ANOVA and χ2 tests, and repeated-measures ANOVA was used to analyze experimental data. In addition, 10 machine-learning classification models were used to calculate if these participants could reverse the degree of sarcopenia after the intervention. A significant interaction effect was found in skeletal muscle density at the L3 vertebra, skeletal muscle area at the L3 vertebra (L3 SMA), grip strength, muscle fat infiltration, and relative skeletal muscle mass index (all P values were <.05). Grip strength, relative skeletal muscle mass index, and L3 SMA were significantly improved after the intervention for participants in the TCSG and STG (all P values were <.05). After post hoc tests, we found that participants in the TCSG experienced a better effect on L3 SMA than those in the STG and participants in the control group. The LightGBM classification model had the greatest performance in accuracy (88.4%), recall score (74%), and F1-score (76.1%). The skeletal muscle area of older adults with sarcopenia may be improved by a hybrid exercise program composed of strength training and tai chi. In addition, we identified that the LightGBM classification model had the best performance to predict the reversion of sarcopenia.

Strategic Learning Principles Are Related to Academic Scores for Doctor of Physical Therapy Students

Abstract Introduction The Learning and Study Strategies Inventory (LASSI) is a self-assessment of strategic learning principles with scores representing areas for growth. The purpose of this study was to measure LASSI scores at 2 points in time for Doctor of Physical Therapy (DPT) students in a 2-year hybrid program to see if scores changed after a science of learning course and two quarters of the program. The authors then examined the relationship between LASSI scores and academic scores (DPT program GPA, anatomy, and physiology grades). Methods Retrospective descriptive analysis of LASSI scores with comparisons between baseline and after a science of learning course and two quarters of the program using a paired t-test; bivariate correlations examined the relationship of LASSI scores to academic scores. Results Data was collected for 259 matriculated DPT students. Three of the 10 LASSI scales had significant change after the science of learning course and two quarters of the program; however, the effect sizes were small (0.2 or less). Anxiety management (t(258) = 2.340, p = .020) scores improved, while both concentrations (t(258) = − 3.229, p = .001) and the use of academic resources (t(258) = − 1.999, p = .047) had lower scores. There were several LASSI scores with significant correlations to academic scores (ρ = .132 to .431). Discussion/Conclusion LASSI was related to academic scores, although the strength of the relationship was low to negligible. LASSI showed small changes over time. There could be various reasons for scores improving or declining, but the awareness of scores and change in scores can provide a solid foundation for individualized coaching to DPT students as they navigate the rigor of a graduate level professional program.

Forecasting Blue and Green Water Footprint of Wheat Based on Single, Hybrid, and Stacking Ensemble Machine Learning Algorithms Under Diverse Agro-Climatic Conditions in Nile Delta, Egypt

The aim of this research is to develop and compare single, hybrid, and stacking ensemble machine learning models under spatial and temporal climate variations in the Nile Delta regarding the estimation of the blue and green water footprint (BWFP and GWFP) for wheat. Thus, four single machine learning models (XGB, RF, LASSO, and CatBoost) and eight hybrid machine learning models (XGB-RF, XGB-LASSO, XGB-CatBoost, RF-LASSO, CatBoost-LASSO, CatBoost-RF, XGB-RF-LASSO, and XGB-CatBoost-LASSO) were used, along with stacking ensembles, with five scenarios including climate and crop parameters and remote sensing-based indices. The highest R2 value for predicting wheat BWFP was achieved with XGB-LASSO under scenario 4 at 100%, while the minimum was 0.16 with LASSO under scenario 3 (remote sensing indices). To predict wheat GWFP, the highest R2 value of 100% was achieved with RF-LASSO across scenario 1 (all parameters), scenario 2 (climate parameters), scenario 4 (Peeff, Tmax, Tmin, and SA), and scenario 5 (Peeff and Tmax). The lowest value was recorded with LASSO and scenario 3. The use of individual and hybrid machine learning models showed high efficiency in predicting the blue and green water footprint of wheat, with high ratings according to statistical performance standards. However, the hybrid programs, whether binary or triple, outperformed both the single models and stacking ensemble.

Assessment of Genetic Diversity in Greengram (Vigna radiata L.) Using Metroglyph Analysis

Pulses like greengram are essential for sustainable agriculture and global food security due to their high protein, complex carbohydrates, fiber, vitamins, and minerals. However, their genetic diversity is underexplored, with existing studies mainly focusing on conventional methods. This study aims to estimate the variability parameters for 16 quantitative characters of greengram to classify the genotypes using Metroglyph analysis and assess genetic divergence to identify divergent parents for future hybridization programs using 45 greengram genotypes using Randomized Block Design replicated thrice. Among 45 genotypes of greengram on the basis of mean performance MGG-351(12.959) followed by MGG-347(43.16 q/ha), VBN -2 (41.12 q/ha), GM-3(40.8 q/ha) and MGG-385(39.8 q/ha) were found superior for grain yield. High GCV and PCV is recorded for Harvest Index and Number of primary branches. High heritability coupled with genetic advance as percent of mean are recorded for number of primary branches, harvest index (%), number of seeds per pod, biological yield per plant, seed index, number of pods per plant, number of clusters per plant. On the basis of Metroglyph analysis, the total index score was varied from 24 (SHAKTI) to 38 (SIKHA) with a mean of 31.84. Among the 45 germplasm lines, the genotypes GM-3, MGG-385, SML-1663 and MGG-371were observed as high yielder and identified for higher index score. Scatter diagram plotted with Plant Height and Harvest Index has revealed that 5 clusters could be distinguished on the basis of morphological variation. Cluster -1 was represented by 24 genotypes, Cluster -2 was represented by 10 genotypes, Cluster-3 was represented by 7 genotypes, Cluster-4 was represented by 3 genotype, Cluster -5 was represented by 1 genotype. From those complexes, the germplasm lines, SIKHA and MGG-371 recorded high index score and fell into different cluster, hence used as parents in hybridization for getting desirable transgressive segregants.

Approaches for Genetic Analysis of Chickpea Genotypes under Late Sown Condition

Investigation of the genetic potential of chickpeas is crucial in order to achieve durable and high-yielding genotypes. The goal of this study is to identify the genetic potential and personality traits associated. Evaluation of thirty-six desi genotypes of chickpea under late sown condition revealed that substantial degree of variation was present, while three traits viz., Leaf pattern, flower colour, seed shape and plant pigmentation were found monomorphic, whereas foliage colour, seed surface were dimorphic,polymorphic traits were noted in leaflet size, plant growth habit, plant height, seed colouring, days to 50% flowering and days to maturity. Magnitude of genotypic coefficient ofvariations, high heritability along with high genetic advance as percentage of mean recorded forharvest index, number of seeds per plant, number of pods per plant and number of effective pods per plant.Correlation and path analysis revealed biological yield, 100 seed weight, seed per plant, harvest Index and plant height are the mostimportant characters,while imparting selection as these exhibited strong association and maximum positive direct effects on seed yield per plant.Intra cluster D2 values showed that most diverse genotypes were Phule G13110 and PG 0104, hybridization program between these genotypes may generate desirable sergeants for various yield attributing traits. Genotypes GL 12021, PG 158, PG 0104, JG 24, H 12-62, IPC 2010-134, GNG 2261, GL29098, BG 3067, IPC 2012-98, Phule G13110 and RVSSG 38 were present in more than one PCs hence contributed maximum towards yield and can be used in various breeding programmes for yield improvement under late sown condition.

Heterosis, combining ability and genetic component in okra (Abelmoschus esculentus (L.) Moench) genotypes

ABSTRACT Information on gene action controlling the inheritance of quantitative traits is essential for selecting parents for hybridization and multiline varieties. Twenty hybrids obtained through 5 × 5 diallel mating with their parents were established on Teaching and Research Farm, Federal University of Agriculture, Abeokuta, Nigeria, in September 2018 using Randomized Complete Block Design in three replicates. The plants were observed for numbers of days to 50% flowering, plant height at flowering, stem girth, number of branches per plant, plant height at maturity, number of fruits per plant, fruit weight, fruit length, fruit width, and fruit yield per plant. Data were subjected to variance analysis, General and Specific Combining abilities were estimated, and gene effects and parameter ratios were done using Hayman’s method. Mid- and better-parent heterosis were estimated using Allard’s procedure. Genotype ‘NGB00356’ was the most desirable parent for earliness and the number of fruits per plant, while hybrid ‘NGB00347’ × ‘NGB00356’ was the best hybrid for fruit yield per plant. ‘NGB00356’, with its significant and positive general combining ability value for the number of fruits per plant, can be used as a parent in a hybridization program for yield improvement in okra.

Estimation of Heterosis and Combining Ability in Barley (Hordeum vulgare L.) under Normal and Limited Moisture Condition of Rajasthan

Barley is arguably the widely adapted cereal crop with drought, cold and salt tolerance. Its grain is used as feed, food and for malting purpose while the straw provides an important source of roughage for animal, particularly in the dry areas. The estimates of heterosis and inbreeding depression jointly provide information about the type of gene action involved in the expression of several quantitative characteristics. Combining ability analysis is required for this method to identify the desirable parents for a hybridization program. The cross DWRUB 64 × RD 2508 in E1 and DWRB 137 × RD 2052 in E2 exhibited desirable heterosis for grain yield per plant and its attributing traits. On the basis of per se performance and GCA effects, the parents RD 2508, RD 2052 and PL 419 in both the generations and environments identified as good general combiners for grain yield per plant and some other associated characters. On the basis of per se performance and SCA effects, the crosses BH 946 × PL 419 and RD 103 × RD 2508 in F1 of E1, RD 2592 × PL 419 and DWRUB 64 × RD 2508 in F1 of E2, RD 2592 × PL 419 and DWRB 137 × RD 2052 in F2 of E2 were identified as good specific cross combinations for grain yield per plant and some associated traits.

Cryopreservation Protocol for Cowpea Pollen Storage

BACKGROUND: Long-term storage of cowpea pollen is important for the fertilization of spatially or temporally isolated female parents, especially during cowpea crop improvement and wide hybridization programs. OBJECTIVE: Experiments were conducted to determine pollen longevity at different storage temperatures and to develop a cryopreservation protocol for pollen of different cowpea accessions. MATERIALS AND METHODS: The investigation was carried out at the Research Farm of ICAR-NBPGR, New Delhi, India, during the kharif (rainy) season of 2022. Pollen viability was studied after storage for 1, 3, 6, 12 and 24 h, 1 and 2 weeks and 1, 3 and 5 months at three different temperatures (4, -20 and -196 ºC). RESULTS: Fresh pollen viability ranged from 78 to 91 %. The optimal pollen moisture content was 12-14 % and the optimal air desiccation period under the laminar air flow chamber (22±1 °C) was 5 min for subsequent preservation at -196 °C. Pollen viability was lost completely at 4 and -20 °C after 1 and 2 weeks of storage, respectively. Pollen stored in liquid nitrogen (-196 ºC) retained vaiblity similar to that of fresh pollen for &gt; 5 months storage. Pollination using cryostored pollen resulted in normal fertilization. CONCLUSION: This finding opens a gateway for cowpea haploid germplasm conservation and wide hybridization programs.

Assessment of genetic parameters and heritability of Dendrobium species section Spatulata native to Indonesia

Being one of the most abundant genera of orchids, Dendrobium presents a valuable genetic resource for hybridization programs. Morphological characterization and assessment of genetic parameters plays a crucial role in establishing genetic connections among orchid species within the same genus. The study aims to discern the morphological traits of five Indonesian Dendrobium species, intending to evaluate their potential as candidates for crossbreeding programs. The materials used in this study were D. antennatum, D. discolor, D. stratiotes, D. lineale, D. gouldii, and D. sylvanum. This research examines 21 quantitative traits and 21 qualitative morphological traits of the studied Dendrobium. The findings reveal variations in characters related to flowers, leaves, and pseudobulbs. The analysis of genetic parameters indicates the presence of genetic diversity in traits such as flower stalk length, length of inflorescence, flower series length, flower length, flower width, dorsal sepal width, lateral sepal width, petal length, petal width, labellum length, labellum width, and the number of florets. All observed traits demonstrate high heritability. So, the characters that have high genetic variability and heritability are valuable in selection criteria for plant breeding.

Exploring Genetic Variability and Diversity in Exotic Germplasm Collection of Cocoa (Theobroma cacao L.)

The current research investigates the genetic variation and diversity in exotic accessions of cocoa to identify materials with desired characteristics as well as important traits contributing to yield and variability. The experiment was conducted at Cocoa Research Centre, Kerala Agricultural University, from 2021 to 2023. The study comprises 23 exotic genotypes in which observations were recorded on quantitative traits on flowers, pods, and beans. Statistical analysis was carried out based on the observations recorded. The morphological evaluation revealed ample variability among the genotypes for all the quantitative characters studied. The average dry bean weight recorded was 1.08 grams, which is a desirable trait in selecting individuals with high processing efficiency for the chocolate industry. Characters such as single bean dry weight, pod value, pod index, and efficiency index have recorded high values of GCV, heritability and genetic advance as percent of the mean. Principal component (PC) analysis showed that the first three PCs with more than one Eigen-value contributed to 92.18 percent of total variability among the germplasm. Yield components viz. pod value, total bean weight pod-1 and single bean dry weight significantly contribute to maximum variability among the exotic germplasm. Moreover, genotypes were grouped into five clusters based on hierarchical agglomerative clustering technique. Hybridization program involving superior genotypes identified in diverse clusters as parents can produce high-yielding hybrids. The high values recorded for the genetic parameters by yield components suggest the selection of genotypes based on which can result in better-performing progeny.

Identification of resistant sources against collar rot disease in groundnut (Arachis hypogaea) incited by Aspergillus niger

Collar rot disease incited by Aspergillus niger van Tiegham is one of the major constraint to groundnut (Arachis hypogaea L.) production in India. This fungus is ubiquitous, soil inhabitant causing severe reduction in seed germination. Infected seeds appear surrounded by black conidia and post-emergence infection occurs on collar region of plants leading to mortality of emerged seedlings at the seedling stage. Therefore, present study was carried out during rainy (kharif) seasons of 2022 and 2023 at Regional Research Station (CCS Haryana Agricultural University, Hisar, Haryana), Bawal, Haryana to identify the strategy of disease management by identification of new resistant lines which will be useful to develop introgression lines using marker-assisted backcrossing approach to improve disease resistance against soil-borne pathogens in popular groundnut varieties. A total of 245 groundnut genotypes were screened under natural epiphytotic field conditions in randomized block design (RBD) with three replications for their resistance against collar rot disease The results of the investigation indicated that 65 genotypes displayed resistant reactions among which ICGV-6285, GC-131-1, ICGV-06319, ICGV-02038, GC-100, GC-98, ICGV-02038, ICGV-7403, ICGV-7214, TG-37A and GC-133 exhibited the lowest collar rot incidence while, rest of the genotypes displayed moderately resistant, susceptible and highly susceptible reaction. Thus, these resistant genotypes could be utilized in the hybridization programme to develop high yielding groundnut variety with inbuilt resistance against collar rot of groundnut.

Psychometric validation of the Cardiac Rehabilitation Barriers Scale Revised (CRBS-R) for hybrid delivery

ObjectiveTo test the measurement properties of the revised version of the English Cardiac Rehabilitation Barriers Scale (CRBS-R), suitable for hybrid delivery, structural validity, internal reliability, as well as face, cross-cultural,...

Exploring Genetic Diversity for High CBD Content in Cannabis Accessions in Tropical and Subtropical Regions of India.

Cannabis, also known as marijuana or hemp, has been utilized since ancient times for industrial, religious, recreational, and medical uses.However, regardless of the intended use, there are legal requirements for quantitative testing of cannabinoids across the supply chains. This investigation aimed to evaluate the genetic diversity of 54 Cannabis samples collected from tropical and subtropical regions in India. The research found a high genotypiccoefficient of variation(GCV), phenotypiccoefficient of variation(PCV), heritability, and genetic advance for total cannabidiol (CBD) content. The genotypic and phenotypic correlation among the morpho-chemical characters revealed strong positive correlations among most characters. Clustering and Principal component analysis identified three accessions in cluster II (CIM-CS-65, CIM-CS-189 & CIM-CS-64) with high CBD content that could be used for breeding and as sources of high CBD content in Cannabis. CIM-CS-64, with its high CBD content with 0.01%THC content, holds potential as a valuable parental line for utilization in hybridization programs and recombinant breeding. Furthermore, in accordance with the NDPC Act of 1985, CIM-CS-64 can be commercialized for medicinal purposes, making it a promising source for the development of medicinal CBD products.

A comprehensive physicochemical characterization and proposed portfolios of applications for the fruits and seeds of 11 accessions of Jatropha curcas L.

The seed oil and extraction cake from 11 accessions of Jatropha curcas from Mexico, El Salvador, and India were comprehensively characterized with the objective of selecting parentals based on desirable traits for a hybridization program. Kernels contained up to 65 % oil and up to 30 % protein. The most abundant protein types were glutelins (48 %) and globulins (24 %), with arginine (0.096 mg/g) and leucine (0.070 mg/g) being the major amino acids. Glucose (0.09 g/g) and arabinose (0.03 g/g) were the most abundant carbohydrates. The oil was primarily composed of oleic (41 %) and linoleic (37 %) acids. The physicochemical properties of the oil included an acid value of 0.28–1.15 %, saponification value of 155–208 mg KOH/g, iodine value of 0.97–1.08 g I2/g, and viscosity of 21.9–40.9 cSt at 40 °C. Six accessions were selected as parental candidates based on their potential as feedstock for a diverse portfolio of products. The most common applicability of oils were lubricants, biopolymers, biofertilizer, and liquid biofuels production. One Mexican accession had a phorbol-ester concentration much lower than the toxicity threshold (0.06 mg/g) and a high protein content, making it attractive for the animal feed industry and for protein extraction. The selected accessions are preserved in a local germplasm bank and will be used for continued genetic improvement through hybridization, aiming to preserve the identified traits while increasing fruit productivity.