Unveiling Diversity for Quality Traits in the Indian Landraces of Horsegram [Macrotyloma uniflorum (Lam.) Verdc.].

Horsegram (Macrotyloma uniflorum [Lam.] Verdc.) is an underutilized pulse crop primarily cultivated in South Asian countries like India, Nepal, and Sri Lanka. It offers various nutraceutical properties and demonstrates remarkable resilience to both biotic and abiotic stresses. As a result, it has emerged as a promising crop for ensuring future food and nutritional security. The purpose of this study was to assess the nutritional profile of 139 horsegram germplasm lines obtained from 16 Indian states that were conserved at the National Gene Bank of India. Standard analytical methods, including those provided by the Association of Official Analytical Chemists (AOAC), were used for this investigation. The study revealed substantial variability in essential nutrients, such as protein (ranging from 21.8 to 26.7 g/100 g), starch (ranging from 26.2 to 33.0 g/100 g), total soluble sugars (TSSs) (ranging from 0.86 to 12.1 g/100 g), phenolics (ranging from 3.38 to 11.3 mg gallic acid equivalents (GAEs)/g), and phytic acid content (ranging from 1.07 to 21.2 mg/g). Noteworthy correlations were observed, including a strong positive correlation between sugars and phenols (r = 0.70) and a moderate negative correlation between protein and starch (r = -0.61) among the studied germplasm lines. Principal component analysis (PCA) highlighted that the first three principal components contributed to 88.32% of the total variability, with TSSs, phytates, and phenols emerging as the most significant contributors. The cluster analysis grouped the accessions into five clusters, with cluster III containing the accessions with the most desirable traits. The differential distribution of the accessions from north India into clusters I and III suggested a potential geographical influence on the adaptation and selection of genes. This study identified a panel of promising accessions exhibiting multiple desirable traits. These specific accessions could significantly aid quality breeding programs or be directly released as cultivars if they perform well agronomically.

Biosorption of Heavy Metal (Mn2+) by Thermophilic Bacterial Strains Isolated from Surya Kund Hot Spring, Yamunotri, Uttarakhand.

This investigation aimed to identify the bioremediation potential of Mn2+-resistant bacterial strains cultured from the Surya Kund hot spring, Yamunotri, Uttarakhand. In this study, eight heavy metal-resistant isolates belonging to two phyla, i.e., Firmicutes and Proteobacteria, were investigated for their Mn2+ biosorption potential. The metal tolerance potential of all the thermophilic bacterial strains was determined by MIC. Bioremediation assay of these metal-resistant strains was performed for Mn2+ through the live and dead biomass of the bacterial cell. The evaluation of the bioremediation rate of metal ions through bacteria was done by AAS. All the selected bacterial strains were evaluated with effective biosorption rates for Mn2+. Acinetobacter sp. LSN-10 (YII-1) has been showing the highest potential for the removal of Mn2+ in both live (41.202%) and dead biomass (64.721%) conditions. The bioremediation rate of dead biomass was observed quite higher in comparison to bioremediation through live bacterial cells in the maximum number of isolates. This study may provide a new eco-friendly and cost-effective approach to dealing with metal toxicity. However, further investigation is needed to identify the most effective applications and potential limitations of this method.

Germplasm variability-assisted near infrared reflectance spectroscopy chemometrics to develop multi-trait robust prediction models in rice.

Rice is a major staple food across the world in which wide variations in nutrient composition are reported. Rice improvement programs need germplasm accessions with extreme values for any nutritional trait. Near infrared reflectance spectroscopy (NIRS) uses electromagnetic radiations in the NIR region to rapidly measure the biochemical composition of food and agricultural products. NIRS prediction models provide a rapid assessment tool but their applicability is limited by the sample diversity, used for developing them. NIRS spectral variability was used to select a diverse sample set of 180 accessions, and reference data were generated using association of analytical chemists and standard methods. Different spectral pre-processing (up to fourth-order derivatization), scatter corrections (SNV-DT, MSC), and regression methods (partial least square, modified partial least square, and principle component regression) were employed for each trait. Best-fit models for total protein, starch, amylose, dietary fiber, and oil content were selected based on high RSQ, RPD with low SEP(C) in external validation. All the prediction models had ratio of prediction to deviation (RPD) > 2 amongst which the best models were obtained for dietary fiber and protein with R 2 = 0.945 and 0.917, SEP(C) = 0.069 and 0.329, and RPD = 3.62 and 3.46. A paired sample t-test at a 95% confidence interval was performed to ensure that the difference in predicted and laboratory values was non-significant.

Agro-Morphological Characterization and Nutritional Profiling of Traditional Himalayan Crop Landraces for Their Promotion Toward Mainstream Agriculture.

The northwest Indian Himalayas are often regarded as a biological hotspot for the presence of rich agro-biodiversity harboring locally adapted traditional crop landraces facing utter neglect owing to modern agricultural systems promoting high-yielding varieties. Addressing this challenge requires extricating the potential of such cultivars in terms of agro-morphological and nutritional attributes. In this study, 29 traditional crop landraces of maize (11), paddy (07), finger millet (03), buckwheat (05), and naked barley (03) were characterized and evaluated for target traits of interest. In maize, Chitkanu emerged as an early maturing landrace (107 days) with high concentrations of zinc (Zn), iron (Fe), and potassium (K), and Safed makki showed the highest 100-seed weight (28.20 g). Similarly, Bamkua dhan exhibited high concentrations of K and phosphorus (P), and Lamgudi dhan showed a high protein content (14.86 g/100 g) among paddy landraces. Ogla-I and Phapra-I showed high contents of protein (14.80 g/100 g) and flavonoids (20.50 mg/g) among buckwheat landraces, respectively, followed by Nei-I, which exhibited the highest protein content (15.66 g/100 g) among naked barley landraces. Most of the target traits varied significantly (p < 0.05) among evaluated samples, except those associated with finger millet landraces. The grouping pattern obtained by principal component analysis (PCA) and multidimensional scaling (MDS) was congruent with the geographical relationship among the crop landraces. This study led to the identification of elite crop landraces having useful variations that could be exploited in plant breeding programs and biofortification strategies for future crop improvement. Our endeavor would aid in conserving the depleting Himalayan agro-biodiversity and promoting versatile traditional crops toward mainstream agriculture vis-à-vis future nutritional security.

Phytochemical Analysis, Antioxidant and Antifungal Activity of Essential oil and Extracts of Alpinia malaccensis (Burm. f. ) Roscoe flowers

Abstract The present study describes chemical composition, phytochemicals, antifungal activities, antioxidant assays and total phenolic content of essential oil and varied polarity solvent extract from flowers of Alpinia malaccensis (Burm.f.). Total 27 components were identified in essential oil by GC-MS with terpinen-4-ol (28.6%) and α- terpineol (12.8%) as the main constituent. The essential oil was found to have maximal levels of phenolic content (64.60 µg/mL) as compared to the other extracts. The antioxidant assay evaluated in extracts and essential oil by different methods revealed good-to-moderate antioxidant potential with different IC50 values viz. (188.02 -250.25 µg/mL) in Fe3+ reducing power, (153.15-201.59 µg/mL) in Fe2+ metal-chelating ability, (130.39-181.12 µg/mL) in DPPH, (88.29-187.32 µg/mL) in OH radical, (79.04-156.79 µg/mL), in NO radical and (138.72-233.00 µg/mL) in superoxide anion scavenging activities, respectively. The methanolic extract display remarkable fungicidal activity against the tested pathogens followed by dichloromethane extract, essential oil, hexane extract and petroleum ether extract respectively, with MIC values ranging from 31.25 to 500 µg/mL. Based on results, it can be inferred that the flower of A. malaccensis if explored further for its medicinal properties, might be a good source to develop a safe and sustainable natural food preservative

Molecular characterization and genetic diversity analysis of soybean (Glycine max (L.) Merr.) germplasm accessions in India.

Molecular characterization and genetic diversity among 82 soybean accessions was carried out by using 44 simple sequence repeat (SSR) markers. Of the 44 SSR markers used, 40 markers were found polymorphic among 82 soybean accessions. These 40 polymorphic markers produced a total of 119 alleles, of which five were unique alleles and four alleles were rare. The allele number for each SSR locus varied between two to four with an average of 2.97 alleles per marker. Polymorphic information content values of SSRs ranged from 0.101 to 0.742 with an average of 0.477. Jaccard's similarity coefficient was employed to study the molecular diversity of 82 soybean accessions. The pairwise genetic similarity among 82 soybean accessions varied from 0.28 to 0.90. The dendrogram constructed based on genetic similarities among 82 soybean accessions identified three major clusters. The majority of genotypes including four improved cultivars were grouped in a single subcluster IIIa of cluster III, indicating high genetic resemblance among soybean germplasm collection in India.