Search

BACKGROUND RESULTS CONCLUSION Natural emulsifiers are increasingly preferred by the food industry to meet consumers' demand for ‘clean‐label’ emulsion products. In the present study, 10 short‐term retrograded starches with unique molecular structures were explored to examine the relationships between starch structures and their ability to form stable oil‐in‐water emulsions.Waxy maize starch showed the largest value of contact angle and conductivity of emulsion, whereas potato and lentil starch showed the lowest value of contact angle and conductivity of emulsion, respectively. Emulsion prepared by rice starch showed the lowest, whereas that of sweet potato starch showed the highest value of viscosity. Consequentially, the emulsion stabilized with waxy maize and tapioca starch showed the smallest and less polydisperse droplets, resulting in a much higher emulsifying index. On the other hand, emulsion prepared with potato starch showed the highest stability compared to other starches. Correlation analysis suggested that starches with larger molecular size, a lower amylose content and shorter amylopectin short chains had a higher emulsification ability, whereas the amount of starch molecular interactions formed during short‐term retrogradation revealed no obvious linking to emulsion performances.These findings provided food industry with exciting opportunities to develop ‘clean‐label’ emulsions with desirable properties. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Summary Lentil is one of the major pulses consumed in many parts of the world. Lentil proteins comprise primarily three fractions, viz. globulins, albumins and glutelins, each having distinct structural and functional characteristics. The secondary structure of lentil proteins is characterised by a predominance of β‐sheets, which occur in proportions up to 63% in the fractions. Protein isolates, in comparison, have up to 40% random coils, 38% sheets, 36% turns and 33% helix. Lentil proteins contain most essential amino acids, while albumins and glutelins have relatively higher content of lysine, methionine, histidine, threonine and branched‐chain amino acids. Amongst globulin proteins, vicilins have a more balanced amino acid composition than legumins. Lentil proteins also exhibit techno‐functional properties (foaming and emulsification, water and fat absorption and gelation) and may also serve as a potential source of active proteins/peptides, which make them an attractive alternative to conventional protein sources. [ABSTRACT FROM AUTHOR]

Lentil (Lens culinaris Medik.) is a cool season legume crop that plays vital roles in food and nutritional security, mostly in the least developed countries. Lentil is often cultivated in dry and semi-dry regions, where the primary abiotic factor is drought, which negatively impacts lentil growth and development, resulting in a reduction of yield. To withstand drought-induced multiple negative effects, lentil plants evolved a variety of adaptation strategies that can be classified within three broad categories of drought tolerance mechanisms (i.e., escape, avoidance, and tolerance). Lentil adapts to drought by the modulation of various traits in the root system, leaf architecture, canopy structure, branching, anatomical features, and flowering process. Furthermore, the activation of certain defensive biochemical pathways as well as the regulation of gene functions contributes to lentil drought tolerance. Plant breeders typically employ conventional and mutational breeding approaches to develop lentil varieties that can withstand drought effects; however, little progress has been made in developing drought-tolerant lentil varieties using genomics-assisted technologies. This review highlights the current understanding of morpho-physiological, biochemical, and molecular mechanisms of lentil adaptation to drought stress. We also discuss the potential application of omics-assisted breeding approaches to develop lentil varieties with superior drought tolerance traits. [ABSTRACT FROM AUTHOR]

Blends of germinated maize and germinated lentil (100:0, 85:15, 70:30, 55:45, and 40:60) were utilised for preparation of chips by air frying. Higher contents of protein, ash, total phenols, flavonoids and antioxidant activity were confirmed in germinated flours through analysis of FTIR spectra. Doughs from blends containing higher amounts of germinated lentil flour showed improved viscoelastic behaviour indicating better protein network as compared to maize dough. Significant (P ≤ 0.05) variation was observed in colour and hardness of air fried chips prepared from various blends. The 70:30 blend was found most acceptable based on sensory evaluation. Chips from this formulation were found superior to ungerminated maize chips in terms of protein digestibility and mineral composition. [ABSTRACT FROM AUTHOR]

The present study was designed to assess the allelopathic potential of invasive weed Ageratina adenophora leaf extracts on seed germination and seedling development efficiency of native tree [viz. Quercus leucotrichophora A. Camus (Oak) and Pinus roxburghii Sarg. (Pine)] and crop [(Triticum aestivum L. (Wheat) and Lens culinaris Medik. (Lentil)] species of Kumaun Himalaya. Pot experiments were conducted in the glasshouse of the Botany Department, D.S.B. Campus, Kumaun University Nainital, following a Completely Randomized Block Design (CRBD) with three treatments (C1-25%, C2-50%, and C3-100% of aqueous leaf extract) and one control, each with five replicates. The experiment lasted one year for tree species and continued until the seed maturation phase for crop species. Parameters such as seed germination proportion, root and shoot measurements, biomass, and crop productivity traits were recorded accordingly. Our bioassay results indicated that the inhibitory effect of leaf extracts on the measured traits of the selected native species was proportional to the applied extract concentrations of A. adenophora. Overall, lentil among crops and oak among tree species exhibited more inhibition compared to wheat and pine, respectively. At the highest concentration, reductions of 44%, 34%, 36%, and 24% in biomass production capacity were recorded for wheat, lentil, pine, and oak, respectively, while wheat and lentil productivity decreased by up to 33% and 45%, respectively. These results suggest that water-soluble allelochemicals produced by A. adenophora may impede the establishment of selected crop and tree species in agroecosystems and forest ecosystems invaded by this weed species. However, further studies on the characterization of phytochemicals and their specific role in seed germination and growth are warranted. Furthermore, the allelopathic potential of A. adenophora can be explored for the preparation of biopesticides and nature-friendly option to improve soil health, crop productivity, and reduce environmental pollution and management of this invasive weed. [ABSTRACT FROM AUTHOR]

Understanding phenology, its genetics and agronomic consequences, is critical for crop adaptation. Here we aim to (i) characterize lentil response to photoperiod with a focus on five loci: the lentil ELF3 orthologue Sn , two loci linked to clusters of lentil FT orthologues, and two loci without candidates in chromosomes 2 and 5 (Experiment 1: 36 lines, short and long days in a phytotron), and (ii) establish the phenology–yield relationship (Experiment 2: 25 lines, 11 field environments). A vintage perspective, where we quantify time trends in phenotype over three decades of breeding, links both experiments. Yield increased linearly from older to newer varieties at 29 kg ha–1 year–1 or 1.5% year–1, correlated negatively with flowering time in both winter- and summer-rainfall regimes, and decoupled from biomass in favourable environments. Time to flowering shortened from older to newer varieties at –0.56% year–1 in the field, and –0.42% year–1 (short days) and –0.99% year–1 (long days) in the phytotron. Early-flowering lines of diverse origin carried multiple early alleles for the five loci, indicating that at least some of these loci affect phenology additively. Current germplasm primarily features the early-flowering haplotype for an FTb cluster region, hence the potential to increase phenological diversity with yield implications. [ABSTRACT FROM AUTHOR]

Agrochemicals are substances used to prevent, destroy, or mitigate any pest. Their indiscriminate use can cause serious problems in ecosystems, contaminating surface and groundwater and affecting surrounding biota. However, in the environment, various natural processes such as biological degradation and photodegradation can mitigate their persistence and, consequently, their ecotoxicological impact. In this regard, this study aimed to obtain relevant data on the cytotoxic effects produced by pesticides on bioindicator plants. As observed in the literature review, cellular inhibition, nuclear anomalies, and micronucleus index are some of the different impacts commonly known from pesticides. These chemical substances can cause cytogenetic alterations in a plant bioassay. Plant bioindicators such as Allium cepa L, Vicia faba L, Pisum sativum L, Lactuca sativa L, and Lens culinaris Med are very important and effective experimental models for identifying the cytogenotoxicity of pesticides. These have been available for many years. However, they are still used today for their effectiveness in detecting and monitoring chemical substances such as agrochemicals. [ABSTRACT FROM AUTHOR]

Resistant starch (RS) is a fraction of starch not digested and absorbed in the small intestine, and it is fermented by the intestinal microbiota in the colon, thereby influencing many health benefits. Legumes such as beans, lentils, and chickpeas are rich in fermentable dietary fiber, and RS can be included in this fiber group. These legumes are not considered a "typical" source of starch and have not been extensively studied as a source of RS. There are still insufficient data on modern non-thermal methods like high-pressure processing (HPP) and combining this method with refrigerated storage. The study aimed to investigate and compare the effects of HPP and HPP combined with refrigerated storage on the RS content of legumes, particularly white beans, green lentils, and chickpeas. Different pressure levels and processing times were used to evaluate changes in RS content and to assess the total fiber content and fiber fraction of the tested legumes. Our study showed that the increase in pressure and pressurization time affected changes in the RS content of the examined legumes. Furthermore, the cooling process of previously pressurized samples resulted in a significant increase in RS content. [ABSTRACT FROM AUTHOR]

Objectives: This study aimed to assess postprandial blood glucose response (PBGR), relative glycemic response (RGR) and insulin response when 25 g available carbohydrates (AC) is replaced with cooked lentils in the formulation of muffins, chilies and soups. Methods: In randomized, crossover studies, healthy adults consumed foods containing 25 g AC from green lentils, red lentils or a control (wheat muffin, n = 24; rice chili, n = 24; potato soup, n = 20). Blood collected at fasting and at 15, 30, 45, 60, 90 and 120 min was analyzed to derive the incremental area under the response curve (iAUC) for glucose, insulin, RGR and maximum concentration (CMAX). Treatment effects were assessed with repeated measures ANOVA. Results: A replacement of 25 g AC with green lentils significantly decreased glucose iAUC compared to chili and soup (p < 0.0001), but not muffin (p = 0.07) controls, while also eliciting a significantly lower insulin iAUC for all three foods (muffin p = 0.03; chili p = 0.0002; soup p < 0.0001). Red lentil foods significantly decreased glucose iAUC (muffin p = 0.02; chili p < 0.0001; soup p < 0.0001) compared to controls, with a significantly lower insulin iAUC for chili and soup (p < 0.0001) but not muffins (p = 0.09). The RGR for muffins, chilies and soups was 88, 58 and 61%, respectively, for green lentils, and 84, 48 and 49%, respectively, for red lentils. Conclusions: PBGR, insulin and RGR are decreased when lentils are incorporated into food products, providing credible evidence to promote carbohydrate replacement with lentil-based foods. [ABSTRACT FROM AUTHOR]

The article focuses on research presented at the Rosario Society of Biology's annual meeting regarding various biological challenges and applications. Topics include the expression patterns of ABH antigens in sperm from men with varicocele compared to those without, the effects of sleep habits on erythrocyte shape and aggregation in relation to body mass index, and the development of a method for detecting KRAS mutations in colorectal cancer for potential population screening.

The upsurge of stemphylium blight disease noticed during recent cropping years is the prime global threat for lentil (Lens culinaris Medik.) production. Identification of factors that influence lentil yield with the help of an advanced regression model will speed up the progress of lentil crop improvement for biotic stress tolerance. In this context, an experiment was undertaken to identify the key control factors of lentil yield under stemphylium blight stress. The field experiment was laid out under alpha lattice design using fifty lentil genotypes with two replications. An advanced dimension reduction cum regression approach Partial Least Square Regression (PLSR) was employed to mitigate the effect of multi-collinearity among 23 yield-influencing traits along with traditional Stepwise Multiple Linear Regression (SMLR). The results of SMLR analysis indicated that pods per plant, number of seeds per pod, hundred seed weight, superoxide dismutase and pod yield per plant had considerable effects on seed yield per plant with the R-squared value of 0.940. The first four PLSR components were considered to be optimum which were cumulatively explained 93.10% of the total variance towards lentil seed yield. The trait pods per plant was recorded with the highest PLSR regression coefficient devoid of multi-collinearity effects among the independent yield attributing variables under stemphylium blight environment and hence concluded to be the most influencing trait towards lentil seed yield followed by seeds per pod, hundred seed weight, pod yield per plant and superoxide dismutase. [ABSTRACT FROM AUTHOR]

The study aimed at examining the effect of Iron (Fe) management strategies on the redistribution of Fe fractions in soil and on the Fe bioavailability and phytic acid (PA) content in lentil grains. A pot experiment was conducted in Completely Randomized Design with 8 treatments replicated thrice. The treatments were Control (no fertilizer); Recommended dose of fertilizers (RDF) i.e. 20:40 (N: P2O5); RDF + Fe (basal application @10 kg/ha); RDF + Fe (foliar@ 1% (w/v) solution); RDF + Fe (basal + foliar); RDF + FeSB (biopriming with Fe solubilizing bacteria (Enterobacter cloacae strain BAU3) @ 5 mL/kg seed (1 x109 cfu mL−1)); RDF + Fe (seed nutripriming with 1% (w/v) solution); and RDF + (biopriming + nutripriming). Fe source for the treatments was Fe-EDDHA chelate. Higher Fe release from these fractions was observed under biopriming + nutripriming with water soluble Fe of 21.09 and 20.82 mg kg−1, respectively for the biopriming + nutripriming and sole biopriming treatments; and organically bound Fe of 230.95 and 211.36 mg kg−1 for the same treatments. These fractions contributed toward higher Fe uptake which was highest under biopriming + nutripriming. Values were statistically significant for biopriming and nutripriming and basal + foliar treatment. Lowest PA values in lentil grains as well as PA/Fe ratio were estimated under basal + foliar and biopriming + nutripriming treatments. Combined basal and foliar application of Fe esp. in chelated form and use of seed priming strategies have immense potential in enhancing the Fe bioavailability in grains from soil, seed or foliage. [ABSTRACT FROM AUTHOR]

BACKGROUND: The celiac population usually struggle finding nutritive gluten‐free (GF) baked goods. GF foods can be improved using legume flours. Eleven GF cake formulations were elaborated according to different percentages of lentil flour (LF), corn flour (CF) and rice flour (RF) using a simplex lattice design. Water holding capacity and particle size of flours were evaluated. Moisture, aw, pH, specific volume, texture profile, relaxation, color and alveolar characteristics were determined for crumbs of all formulations. An optimization process was used to enhance the technological and nutritional attributes, selecting the three best formulations containing LF: 46% LF + 54% RF (CLF+RF); 49% LF + 51% CF (CLF+CF); and 100% LF (CLF), evaluated in their proximal composition and sensory characteristics. Linear and quadratic models for predicting the behavior of GF lentil cakes were obtained. RESULTS: LF and CF could favor water incorporation and show more resistance to enzymatic digestion than RF. Formulations with LF showed an improvement in specific volume and alveolar parameters, while use of RF led to better cohesiveness, elasticity and resilience but with a deterioration in chewiness and firmness. CLF can be labeled as high in protein and fiber and presented the lowest amounts of lipids, carbohydrates and energy content. Consumer preference leaned towards CLF+RF. CONCLUSION: It was possible to elaborate GF cakes using LF, obtaining nutritive products that can be offered to people intolerant to gluten ingestion. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Background: Microvascular invasion (MVI) is a risk factor for postoperative recurrence of hepatocellular carcinoma (HCC), even in early-stage HCC. In small HCC ≤ 3 cm, treatment options include anatomical resection or non-anatomical resection, and MVI has a major effect on treatment decisions. We aimed to identify the predictors of MVI in small HCC ≤ 3 cm. Methods: We retrospectively studied 129 patients with very early or early-stage HCC ≤ 3 cm who had undergone 18F-fluorodeoxyglucose positron emission tomography/computed tomography and subsequent hepatic resection from January 2016 to August 2023. These patients were divided into the derivation cohort (n = 86) and validation cohort (n = 43). We examined the risk factors for MVI using logistic regression analysis, and established a predictive scoring system in the derivation cohort. We evaluated the accuracy of our scoring system in the validation cohort. Results: In the derivation cohort, a Lens culinaris agglutinin-reactive fraction of alpha-fetoprotein (AFP-L3), prothrombin induced by vitamin K deficiency or antagonist-II (PIVKA-II), and metabolic tumor volume (MTV) were independent predictors of MVI. We established the scoring system using these three factors. In the validation test, there were no MVI-positive cases with a score of 0 and 1, and all cases were MVI-positive with a score of 4. Moreover, with a score ≥ 2, the sensitivity, specificity, and accuracy of our scoring system were 100%, 71.4%, and 81.4%, respectively. Conclusions: Our scoring system can accurately predict MVI in small HCC ≤ 3 cm, and could contribute to establishing an appropriate treatment strategy. [ABSTRACT FROM AUTHOR]

In this study, our objective was to show the effects of pH and calcium on the techno functional properties of four pulse flours (chickpea, lentil, red lentil, and white bean) and the rheological properties of their pastes and gels. Five conditions were considered: a natural condition and four modifications (pH 3 and pH 5; with or without calcium addition). All measured properties varied with the type, condition, and the interaction among them. All flours exhibited high foaming capacity (44.3 − 78.8%) and emulsifying capacity (46.6 − 49.9%). The white bean flour showed a high water holding capacity (1.6 – 2.0 g/g), and the red lentil, lentil, and chickpea formed strong gels and high viscosity pastes. For the four pulses, the water holding capacity and foaming capacity of the flours and the viscosity of the pastes were improved by decreasing the pH (at 3 or 5) plus the addition of calcium. The hardness, elasticity, and resistance of gels obtained from pulse flours (except for white bean) were high when using natural conditions. Lowering pH resulted in a reduction of these parameters. Highlights: The properties of the flours were affected by pH and Ca differently depending on the pulse. The water holding capacity and foaming properties of pulse flours are improved by lowering pH and adding calcium. The viscosity of pulse flour pastes is improved by lowering the pH to 5 and 3. The strengths and elasticity of the pulse gels were reduced when the pH was decreased and calcium was added except for white beans. [ABSTRACT FROM AUTHOR]

The demand for meat alternatives in different forms is increasing due to consumers' awareness of climate change and the health benefits of plant-based ingredients compared to animals. However, current alternatives on the market do not fulfil consumers' acceptance for taste and texture. Hence, different physical and biological processes, such as thermal treatment and fermentation, need to be investigated. This study reveals that the thermal treatment of legume flours (soy, pea and lentil) prior to single-strain fermentation with Leuconostoc citreum TR116 has a major impact on acidification, colour, texture and sensory properties due to the pregelatinisation of starch and denaturation of proteins. The thermal treatment of soy flour resulted in liquification, and it could not be used as a fermentation substrate. However, non-heat-treated soy flour was fermented for comparison. The highest total titratable acidity (TTA) was determined in fermented pea flour (PF) and fermented lentil flour (LF) after 48 h with 24.35 ± 0.29 mL 0.1 M NaOH/10 g and 24.98 ± 0.33 mL 0.1 M NaOH/10 g, respectively. Heat treatment prior to fermentation led to a reduction in TTA by 20 mL 0.1 M NaOH/10 g for both PF and LF. The loss of colour pigments during thermal treatment led to a lighter colour of the spreadable alternatives. Moreover, a harder texture (+13.76 N in LF; +15.13 N in PF) and a lower adhesiveness (−0.88 N in LF; −0.43 N in PF) were detected in spreadable meat alternatives that were treated with heat prior to fermentation. Cohesiveness was decreased by thermal treatment, and fermentation did not impact it. Fermentation without pre-heat treatment increased adhesiveness by 4.37 N in LF and by 2.36 N in PF—an attribute typical for spreadable meat. Descriptive sensory analysis showed that thermal treatment significantly decreased bitterness but increased crumbliness and reduced juiciness. On the other hand, fermentation without pre-heat treatment mainly influenced flavour by increasing fruitiness and decreasing beaniness, earthiness and off-flavours. In summary, thermal treatment prior to fermentation is powerful in reducing legume-typical off-flavours but is not suitable for the development of spreadable meat alternatives due to texture changes. However, this process can be very beneficial when producing sausage-like alternatives. [ABSTRACT FROM AUTHOR]

The purpose of this study was to assess the impact of food texture, oral processing, bolus characteristics, and in vitro digestive conditions on the starch and protein digestibility of al dente and soft-cooked commercial red lentil pasta. For that, samples were cooked as suggested by the provider and their texture properties were promptly analysed. Then, normal and deficient masticated pasta boluses were produced by four healthy subjects, characterised in terms of their oral processing, bolus granulometry, texture and viscoelastic properties, and finally subjected to static in vitro digestion, according to the INFOGEST consensus for both adults and the older adult population. Normal masticated boluses exhibited greater saliva impregnation and lower proportions of large particles, hardness, and stiffness than deficient masticated boluses. Likewise, insufficiently masticated al dente–cooked pasta boluses caused a delay in oral starch digestion owing to the larger particles attained during food oral processing, while reduced intestinal conditions in the elderly only interfere with the release of total soluble proteins in all samples. This work evidences the importance of considering the initial texture of products, oral capabilities, processing behaviour, and physical and mechanical properties of food boluses in digestion studies, opening new prospects in designing pulse-based foods that meet the nutritional requirements of the world's population. [ABSTRACT FROM AUTHOR]

Abiotic factors, including heat stress, significantly impact the growth and development of lentil across the globe. Although these stresses impact the plant's phenotypic, genotypic, metabolic, and yield development, predicting those traits in lentil is challenging. This study aimed to construct a machine learning-based yield prediction model for lentil using various yield attributes under two different sowing conditions. Twelve genotypes were planted in open-field conditions, and images were captured 45 days after sowing (DAS) and 60 DAS to make predictions for agro-morphological traits with the assessment for the influence of high-temperature stress on lentil growth. Greening techniques like Excess Green, Modified Excess Green (ME × G), and Color Index of Plant Extraction (CIVE) were used to extract 35 vegetative indices from the crop image. Random forest (RF) regression and artificial neural network (ANN) models were developed for both the normal-sown and late-sown lentils. The ME × G-CIVE method with Otsu's thresholding provided superior performance in image segmentation, while the RF model showed the highest level of model generalization. This study demonstrated that yield per plant and number of pods per plant were the most significant attributes for early prediction of lentil production in both conditions using the RF models. After harvesting, various yield parameters of the selected genotypes were measured, showing significant reductions in most traits for the late-sown plants. Heat-tolerant genotypes like RLG-05, Kota Masoor-1, and Kota Masoor-2 depicted decreased yield and harvest index (HI) reduction than the heat-sensitive HUL-57. These findings warrant further study to correlate the data with more stress-modulating attributes. [ABSTRACT FROM AUTHOR]

Fusarium oxysporum f. sp. lentis (Fol) is considered the most destructive disease for lentil (Lens culinaris Medik.) worldwide. Despite the extensive studies elucidating plants' metabolic response to fungal agents, there is a knowledge gap in the biochemical mechanisms governing Fol-resistance in lentil. Τhis study aimed at comparatively evaluating the metabolic response of two lentil genotypes, with contrasting phenotypes for Fol-resistance, to Fol-inoculation. Apart from gaining insights into the metabolic reprogramming in response to Fol-inoculation, the study focused on discovering novel biomarkers to improve early selection for Fol-resistance. GC-MS-mediated metabolic profiling of leaves and roots was employed to monitor changes across genotypes and treatments as well as their interaction. In total, the analysis yielded 178 quantifiable compounds, of which the vast majority belonged to the groups of carbohydrates, amino acids, polyols and organic acids. Despite the magnitude of metabolic fluctuations in response to Fol-inoculation in both genotypes under study, significant alterations were noted in the content of 18 compounds, of which 10 and 8 compounds referred to roots and shoots, respectively. Overall data underline the crucial contribution of palatinitol and L-proline in the metabolic response of roots and shoots, respectively, thus offering possibilities for their exploitation as metabolic biomarkers for Fol-resistance in lentil. To the best of our knowledge, this is the first metabolomics-based approach to unraveling the effects of Fol-inoculation on lentil's metabolome, thus providing crucial information related to key aspects of lentil–Fol interaction. Future investigations in metabolic aspects of lentil–Fol interactions will undoubtedly revolutionize the search for metabolites underlying Fol-resistance, thus paving the way towards upgrading breeding efforts to combat fusarium wilt in lentil. [ABSTRACT FROM AUTHOR]

Introduction: Recently, increasing effort has been directed toward environmental sustainability in pet food. The aim of this study was to evaluate the extrusion parameters, nutrient digestibility, fecal characteristics, palatability and insulinemic and glycaemic curves of a complete diet for dogs in which the main carbohydrate source was a red lentil pasta by-product (LP). Methods: Five experimental diets were formulated: a basal diet (CO) based on rice and a poultry by-product meal; three experimental diets where LP substituted rice at 33, 66, or 100% (LP33, LP66, and LP100, respectively); and a diet formulated on 70% of the basal diet (CO) plus 30% LP (LPS) to evaluate the digestibility of LP ingredient. Results and discussion: The extruder pressure, hardness and bulk density of the kibble increased in a linear manner with increasing LP percentage (P < 0.05), without affecting starch gelatinization. According to polynomial contrast analysis, rice replacement with LP at 33 and 66% caused no reduction in apparent total tract digestibility coefficient (ATTDC), with similar or higher values compared with the CO diet. Nitrogen balance did not change (P > 0.05), but we observed a linear increase in feces production and moisture content as the LP inclusion rate rose and a linear decrease in feces pH (P < 0.05). Nevertheless, the fecal score was unaffected. Fecal acetate, propionate, total short-chain fatty acids (SCFA), branched-chain fatty acids, and lactate all increased linearly as the LP inclusion rate increased (P < 0.05), without altering ammonia concentration in feces. Feces concentrations of cadaverine, tyramine, histamine, and spermidine also increased in a linear manner with increasing LP inclusion (P < 0.05). The fermentation of LP dietary fiber by the gut microbiota increased the concentration of desirable fermentation by-products, including SCFA and spermidine. The post-prandial glucose and insulin responses were lower in the dogs fed the LP100 diet compared with CO, suggesting the possible use of this ingredient in diets designed to generate a low glycaemic response. Finally, the palatability study results showed a preference for the LP100 ration in both the “first choice” and the “consumption rate” evaluation (P < 0.05). This trial reveals how a by-product discarded from the human-grade food chain retains both its nutritional and organoleptic properties. [ABSTRACT FROM AUTHOR]

Extrudates were first prepared through extrusion-cooking and air-drying of different formulations obtained through a D-optimal Mixture Design containing blends of rice flour (RF), green lentil flour (GL), chickpeas flour (CP), and tomato powder (TP) in different proportions. These extrudates were subjected to deep oil frying (DOF) at 200fiC or microwave roasting (MWR) at 75% power level (1000W oven) in order to develop desirable color and flavor characteristics. Physical properties including color (L*, a*, b*), expansion ratio (ER), breaking stress (BS) and antioxidant activity (AA) were evaluated, and the influence of product variables on output parameters was assessed. Increasing CP and GL in the formulations resulted in a decrease in the ER and an increase in the BS. However, the inclusion of CP and TP helped to produce snacks of golden yellow color and increased their overall acceptability. The addition of TP also improved the antioxidant activity of the resulting product. Both DOF and MWR resulted in a lower antioxidant activity; however, MWR led to more than 80% retention of the original antioxidants and higher sensory acceptability. ER and L* values had a strong positive correlation with the overall acceptability of products. The extrusion - air-drying - microwave roasting process produced healthy snacks with acceptable sensory quality, high protein (through added pulses), and enriched antioxidant (through added tomato powder) contents. [ABSTRACT FROM AUTHOR]

Carbohydrates are the main components of lentils, accounting for more than 60% of their composition. Their content is influenced by genetic factors, with different contents depending on the variety. These compounds have not only been linked to interesting health benefits, but they also have a significant influence on the techno-functional properties of lentil-derived products. In this study, the use of near-infrared spectroscopy (NIRS) to predict the concentration of total carbohydrate, fibre, starch, total sugars, fructose, sucrose and raffinose was investigated. For this purpose, six different cultivars of macrosperm (n = 37) and microsperm (n = 43) lentils have been analysed, the samples were recorded whole and ground and the suitability of both recording methods were compared. Different spectral and mathematical pre-treatments were evaluated before developing the calibration models using the Modified Partial Least Squares regression method, with a cross-validation and an external validation. The predictive models developed show excellent coefficients of determination (RSQ > 0.9) for the total sugars and fructose, sucrose, and raffinose. The recording of ground samples allowed for obtaining better models for the calibration of starch content (R > 0.8), total sugars and sucrose (R > 0.93), and raffinose (R > 0.91). The results obtained confirm that there is sufficient information in the NIRS spectral region for the development of predictive models for the quantification of the carbohydrate content in lentils. [ABSTRACT FROM AUTHOR]

Background: Lentil is an important legume crop and plays an important role in human nutrition and soil fertility improvement. It contains 57-60% carbohydrate, 24-26% protein, 3.2% fiberand only 1.3% fat with the full complement of amino acids. It is a potential crop for about 10 million hectares of rice-fallow areas of eastern India. This study aimed to standardized sulphur and boron requirements of lentil in Eastern India. Methods: The experiment was conducted in a glass house during 2018-19 and 2019-20 in a factorial completely randomized design with three replications and 16 treatment combinations of sulphur and boron. The treatment combinations were product of 4 levels each of sulphur and boron as 0, 15, 30 and 45 kg ha-1 (0, 0.067, 0.134 and 0.201 g pot-1) and 0, 1, 2 and 3 kg ha-1 (0, 0.004, 0.009 and 0.013 g pot-1), respectively. Lentil grain yield was observed at harvest and sulphur-containing amino acids, as well as seed nutrient content, were analyzed followingstandard operating procedures. Result: Lentil grain yield was enhanced by 1.85 times with a combined application of 45 kg S and 2 kg B ha-1 with a recommended dose of NPK. The sulphur-containing amino acids namely methionine, cystine and cysteine content showed significant improvement with increasing levels of sulphur application however were not significantly affected with boron levels. The protein content in lentil seed increased considerably with application of sulphur levels as compared to boron levels and it was highest with 30 kg S ha-1 + 2kg B ha-1 along with recommended dose of NPK fertilizers. [ABSTRACT FROM AUTHOR]

Resistant starch has gained substantial attention in recent years due to its potential health benefits. Among the various sources of RS, legumes have appeared as a prominent and promising contributor. Legumes like beans, lentils, and chickpeas, comprise a unique composition that promotes the resistant starch formation during cooking and processing. The review begins by presenting an overview of resistant starch and its classification based on its structure and digestibility. The mechanisms by which legume‐based resistant starch impacts human health are discussed, including its potential role in controlling postprandial glucose and insulin responses, improve satiety, boost colonic health, and influence lipid metabolism. The promising role of resistant starch from legumes in controlling chronic diseases like obesity, cardiovascular disorders, and type 2 diabetes is also explored. This review briefly covers the recent advancements in regulating the starch biosynthesis pathway through the utilization of RNA interference (RNAi) and CRISPR/Cas9 techniques. In summary, the association between resistant starch and legumes offers a compelling pathway to enhance human health and mitigate the risk of chronic diseases. Legumes as a regular part of the diet can be a viable and effective approach to augment resistant starch intake and harness its potential health‐promoting effects. [ABSTRACT FROM AUTHOR]

Because reactive oxygen species are involved in the regulation of biological rhythms, we hypothesized that intra-annual variability of seed progeny quality at low doses of ionizing radiation (LDIRs) would differ from that of background plants. We conducted 12 consecutive experiments using the roll culture method by germinating seeds (monthly for 3 weeks) of six herbaceous plant species (Bromus inermis, Geum aleppicum, Plantago major, Rumex confertus, Silene latifolia, and Taraxacum officinale) growing under conditions of chronic radiation in the East Ural Radioactive Trace (EURT). We assessed physiological (seed viability and abnormality frequency) and biochemical (low-molecular-weight antioxidants, LMWAs) parameters of seedlings. Total absorbed dose rates of maternal plants (TADRplants) and seed embryos (TADRseeds) in the EURT exceeded background levels by 1–3 and 1–2 orders of magnitude, respectively. Nonlinear dependencies on TADR were mainly characteristic of physiological and biochemical parameters. For most populations of the studied species (B. inermis, G. aleppicum, R. confertus, and S. latifolia), seedling survival and root length decreased in the autumn–winter period, while the frequency of abnormal seedlings increased. The content of LMWAs could be ranked as R. confertus > B. inermis > G. aleppicum > S. latifolia, in good agreement with the presence of anthocyanin pigmentation in the plants. The lowest synthesis of antioxidants in seedlings was observed in winter. A high LMWA content promoted growth and reduced the frequency of abnormal seedlings. These results underscore a multistage nature of the impact of LDIRs on intra-annual biological rhythms in plants. High heterogeneity in reference group 'wild grasses' and diversity of their radiobiological effects should help to develop methods of radiation protection for natural ecosystems and facilitate approaches used by the International Commission on Radiological Protection. Absorbed dose rates for six plant species in the East Ural Radioactive Trace (EURT) area range from 0.11 to 73.89 µGy h−s (plants) and 0.11 to 6.88 µGy h−s (seed embryos). Intra-annual rhythms of physiological and biochemical parameters in the EURT zone differ from those in background seedlings. Plants in the EURT area exhibit a wide range of trait variability, asynchrony of the manifestation of the effects, nonlinear dose–response relations, and hormesis. A high content of low-molecular-weight antioxidants (LMWAs) is associated with low frequency of developmental abnormalities and high viability of seed progeny. [ABSTRACT FROM AUTHOR]

Cold plasma enhances various biological processes in plants. This study assessed the impact of cold plasma seed treatments on nodulation, root, and shoot growth in pea and lentil under controlled environmental conditions. Seeds were treated with cold plasma generated by a dielectric barrier discharge (DBD) and a pin electrode reactor (PER), with three different exposure durations (3, 6, and 12 min). At 4 weeks, notable enhancements were observed in nodule number and dry weight, root dry weight, length, volume, surface area, and shoot dry weight. The 3‐ and 6‐min exposure using the DBD and the 3‐min exposure using the PER system demonstrated the most significant increases or upward trends in these traits, highlighting the intricate nature of seed–plasma interactions. [ABSTRACT FROM AUTHOR]

The standard method of estimating in vitro protein digestibility, the protein digestibility corrected amino acid score (PDCAAS) assay, does not support the expected workflow of a pulse breeding program. This is mainly due to its low‐throughput design and long processing time (∼16–24 h) per sample. Fourier‐transform mid‐infrared (FT‐MIR) spectroscopy has been developed as a high‐throughput phenotyping tool to estimate protein digestibility in pulses. The mid‐infrared region representing the amide I band (1756.81–1586.27 cm−1) was utilized to perform chemometric modeling with partial least squares regression (PLSR) to estimate in vitro protein digestibility in dry pea (Pisum sativum L.), lentil (Lens culinaris Medik.), and chickpea (Cicer arietinum L.) flours. The root mean square error of predictions of the developed PLSR models for dry pea, lentil, and chickpea were 0.00039, 0.00024, and 0.00017, respectively. Phenotyping with the FT‐MIR approach is more rapid than with the PDCAAS assay and estimates protein digestibility from the flour of a single seed in a shorter time (∼1–2 min). The FT‐MIR approach is robust as the spectroscopic data are consistent and chemically fingerprint this nutritional trait. Accordingly, FT‐MIR can resolve the phenotypic bottleneck of pulse breeding related to in vitro protein digestibility measurements by enabling a high‐throughput phenotyping workflow. [ABSTRACT FROM AUTHOR]

Biomass estimation forms the foundation for tackling global climate issues across diverse land use systems (LUSs). A research initiative was undertaken to identify the maximum biomass allocation using an allometric approach, and to assess the carbon stock, CO2 sequestration, and carbon credit across diverse land use systems (LUSs) in the Vindhyan region of Mirzapur, Uttar Pradesh, India. This study aims to address climate change by identifying land‐use strategies that stabilize income and are easily adoptable by farmers. Tropical dry deciduous forest, agriculture, plantation, horticulture and agri‐horticulture LUSs were investigated using three combinations of custard apple (Annona squamosa), guava (Psidium guajava), bael (Aegle marmelos), mustard (Giriraj) (Brassica nigra), mustard (Pitambri) (Brassica juncea), and lentil (Lens culinaris) in an agri‐horticulture system. Seven treatments with varying carbon stocks were identified: tropical dry deciduous forest (T1) LUS (TDDFLUS); wheat based agriculture (T2) LUS (WBALUS); plantation based on teak (Tectona grandis) (T3) LUS (TBPLUS); horticulture based on karonda (Carissa carandas) (T4) LUS (KBHLUS); bael + lentil (Hul‐57) (T5) LUS (BLBLUS); guava + mustard (Giriraj) (T6) LUS (GMBLUS); and custard apple + mustard (Pitambri) (T7) LUS (CAMBLUS). The results indicate that the lowest and the highest bulk densities (ρb) were recorded in TDDFLUS and WBALUS at the depths of 0–20 cm and 20‐40 cm, respectively. The mean value of the soil organic carbon (SOC) stock ranged from 11.24–18.09 t ha−1. The average value of biomass, biomass carbon stock and biomass CO2 sequestration of seven treatments varied from 9.76–88.49 t ha−1, 4.88–44.25 t ha−1, and 17.91–162.39 t ha−1, respectively. The total carbon stock, CO2 sequestration, and carbon credit for the seven treatments varied from 16.57–64.64 t ha−1, 60.82–237.28 t ha−1 and 3040.821–11 863.89US$ ha−1, respectively. The results demonstrated that different LUSs have specific advantages and their application at farm level can encourage sustainability and increase biomass accumulation, leading to carbon sequestration. Agri‐horticulture‐based LUSs can lead to better livelihoods and can also offer numerous advantages such as increased yields of staple food crops and fruits, improved soil health, reduced soil erosion, and significant contributions to the mitigation of anthropogenic warming through CO2 sequestration. [ABSTRACT FROM AUTHOR]

Bakery products, especially bread, exist in many homes worldwide. One of the main reasons for its high consumption is that the main raw material is wheat, a cereal that can adapt to a wide variety of soils and climates. However, the nutritional quality of this raw material decreases during its industrial processing, decreasing the value of fibers, proteins, and minerals. Therefore, bread has become a product of high interest to increase its nutritional value. Due to the high consumption of bread, this paper provides a general description of the physicochemical and rheological changes of the dough, as well as the sensory properties of bread by incorporating alternative flours such as beans, lentils, and soy (among others). The reviewed data show that alternative flours can improve fiber, macro, and micronutrient content. The high fiber content reduces the quality of the texture of the products. However, new processing steps or cooking protocols, namely flour proportions, temperature, cooking, and fermentation time, can allow adjusting production variables and optimization to potentially overcome the decrease in sensory quality and preserve consumer acceptance. [ABSTRACT FROM AUTHOR]

The search for elite cultivars with better architecture has been a demand by farmers of the chickpea and lentil crops, which aims to systematize their mechanized planting and harvesting on a large scale. Therefore, the identification of genes associated with the regulation of the branching and architecture of these plants has currently gained great importance. Herein, this work aimed to gain insight into transcriptomic changes of two contrasting chickpea and lentil cultivars in terms of branching pattern (little versus highly branched cultivars). In addition, we aimed to identify candidate genes involved in the regulation of shoot branching that could be used as future targets for molecular breeding. The axillary and apical buds of chickpea cultivars Blanco lechoso and FLIP07-318C, and lentil cultivars Castellana and Campisi, considered as little and highly branched, respectively, were harvested. A total of 1,624 and 2,512 transcripts were identified as differentially expressed among different tissues and contrasting cultivars of chickpea and lentil, respectively. Several gene categories were significantly modulated such as cell cycle, DNA transcription, energy metabolism, hormonal biosynthesis and signaling, proteolysis, and vegetative development between apical and axillary tissues and contrasting cultivars of chickpea and lentil. Based on differential expression and branching-associated biological function, ten chickpea genes and seven lentil genes were considered the main players involved in differentially regulating the plant branching between contrasting cultivars. These collective data putatively revealed the general mechanism and high-effect genes associated with the regulation of branching in chickpea and lentil, which are potential targets for manipulation through genome editing and transgenesis aiming to improve plant architecture. [ABSTRACT FROM AUTHOR]

Doubled haploid technology is, so far, the fastest route to induce a true homozygous state in plants. True homozygous plants are particularly important for breeders, as they can facilitate hybrid breeding and are useful in fixing traits in a breeding line. Fabaceae species are of great importance in food and feed production; however, they are far behind other families with respect to the development of effective haploidization protocols. Here, we present the most recent status of research on haploidization protocols in cool-season grain legume crops, including dry peas, chickpeas, faba beans, lentils, lupines, and grass peas. The first four species are primarily for human consumption; the latter are utilized as forage. All the mentioned species have been subject to haploidization trials; however, repeatable protocols, including the regeneration of confirmed haploid or doubled haploid plants, have not been elaborated. Research in field pea, chickpea, grass pea, and lupine is promising, with the reported regeneration of microspore-derived embryos in all four species. Repeatable plant regeneration has been reported only in field peas and chickpeas. The most recent achievements on haploidization through male and female gametophytes in faba bean are also presented. The key factors for the effective stimulation of haploid cell development in cool-season legumes are reviewed, providing a useful basis for future efforts toward haploidization in this group. [ABSTRACT FROM AUTHOR]

Groundwater resources play an important role in meeting the water needs of agriculture and industry. Therefore, identifying the factors affecting the potential challenges of groundwater resources can be key to proper implementation and management, considered the main goal of the current research. In this study, agricultural groundwater poverty index (AGPI) and industrial groundwater poverty index (IGPI) were developed based on General, Effective, and Data mining methods for the study period 2012–2020 in the West Azerbaijan Province, Iran. Both agricultural and industrial sectors were classified into five categories with 17 and 15 associated variables, respectively. The total scores of AGPI and IGPI were obtained (48.63, 47.80, 49.67) and (33.35, 33.60, 33.37), respectively, for General, Effective, and Data mining methods in the West Azerbaijan Province. In 2012–2020, the qualitative classification of the sustainability status of groundwater resources for the agriculture and industry sectors was at a good and very good level. The crop cultivation patterns of Pea, Beans, and Lentils products require management reforms to avoid the relative unsustainability in groundwater resources. Also, Production of Food and Beverages, Tobacco products, Production of Coke fuel, Oil refineries, and Nuclear fuels, Chemical Products, Rubber and Plastic products, and Non-Metallic Mineral Products could face management challenges in the West Azerbaijan Province. As the agricultural sector puts more pressure on groundwater resources than the industrial sector, it is expected that the southern part of the province will be more affected by water crises in the future. Also, the countries' internal management plans and international relations, such as the Joint Comprehensive Plan of Action (JCPOA), could have a significant impact on the status of their water resources. Due to saving time and money, it is highly recommended to use the Data mining method to develop the AGPI and IGPI in practical projects. The results of current study will have a critical impact on improving and optimizing the performance of implemented groundwater resource management projects in various temporal–spatial levels. [ABSTRACT FROM AUTHOR]

A 56-day feeding trial was conducted to evaluate the quantitative methionine requirements in the diets of Florida pompano (Trachinotus carolinus). Eight practical diets using soybean meal, poultry meal, and red lentil meal as the primary protein sources were formulated using graded levels of methionine supplement (0 to 0.70 g/100 g diet). Groups of 15 juvenile Florida pompano (4.04 ± 0.05 g) were size-sorted and placed into one of 40 glass aquaria (132 L) with five replicates per diet. Significant differences (p ≤ 0.05) were observed in overall biomass, mean weight, weight gain, thermal growth coefficient (TGC), and feed conversion ratio (FCR). To estimate the dietary methionine requirement, a series of statistical models, including the one-slope broken line model (BLM1), two-slope broken line model (BLM2), broken quadratic model (BQM), and four-parameter saturation kinetic model (SKM-4) were used to assess mean weight, weight gain, TGC, apparent net protein retention (ANPR), and methionine retention (MR). The model selection showed that BLM1 fit the data best for MW and TGC, SKM-4 for PWG and ANPR, and BQM for MR. Based on these results, a minimum dietary methionine requirement of 0.68% of the diet or 1.70 g/100 g protein is recommended. [ABSTRACT FROM AUTHOR]

The overall goal of this research was to develop plant protein-based lipid composite films by examining the effect of shear (mechanical shear; MS vs. high pressure shear; HPS) and type of legume protein isolates (pea, lentil, soy, and faba bean). Compared to MS, HPS emulsions had smaller droplet size, and HPS emulsions from pea and lentil were more viscous than soy and faba bean. The HPS films were lighter and more green and yellow in colour compared to MS films. HPS also improved the mechanical properties of the films resulting in higher tensile and puncture strength for pea and soy and higher tensile elongation and puncture deformation for most of the legumes. There was an inverse relationship between legumes where overall stronger and less flexible films were prepared from pea and soy, and vice versa from lentil and faba bean. HPS resulted in pea and soy films with less swelling ability and higher water vapour permeability (WVP), indicative of a poorer moisture barrier when homogenized this way. The MS films had similar WVP regardless of legume type, while under HPS it was the lowest for faba bean and highest for soy, despite the high swelling ability for both legumes. In short, pea, lentil, and faba bean protein isolates prepared emulsion films with good mechanical properties and water resistance, suggesting the potential to replace soy as edible packaging materials. HSP films had better mechanical attributes but poorer vapor barrier properties then those produced using MS. [ABSTRACT FROM AUTHOR]

Lentils (Lens culinaris Medik.), the earliest legumes grown by humans, are essential food sources in many countries. This review summarizes the nutrient profile, phytochemical profile, sensory properties, bioaccessibility, along with health benefits of lentils. Lentils are not only rich in protein, carbohydrates, and fats but various bioactive substances, especially flavonoids and phenolic acids. However, their bioavailability is poor due to the presence of certain antinutritional factors, containing tannins, phytic acid, protease inhibitors as well as lectins. Specific information for the bioaccessibility and bioavailability of phenolics and minerals in lentils is listed. Besides, several conventional along with novel techniques that used to improve bioaccessibility and bioavailability of lentils, such as soaking, dehulling, thermal processing, isoelectric precipitation, pulsed electric field, and high-pressure processing are introduced as well. In addition, various potential health benefits are reviewed, including anti-inflammatory, anticancer, antidiabetic, and anti-obesity properties. Thereby, increased consumption and utilization of lentils as functional foods are considered the key to combating certain chronic diseases in the human body. Lastly, some suggestions are put forward for the future direction of lentils. [ABSTRACT FROM AUTHOR]

Summary Developing early maturing lentil has the potential to minimize yield losses, mainly during terminal drought. Whole‐genome resequencing (WGRS) based QTL‐seq identified the loci governing earliness in lentil. The genetic analysis for maturity duration provided a good fit to 3:1 segregation (F2), indicating earliness as a recessive trait. WGRS of Globe Mutant (late parent), late‐flowering, and early‐flowering bulks (from RILs) has generated 1124.57, 1052.24 million raw and clean reads, respectively. The QTL‐Seq identified three QTLs (LcqDTF3.1, LcqDTF3.2, and LcqDTF3.3) on chromosome 3 having 246244 SNPs and 15577 insertions/deletions (InDels) and 13 flowering pathway genes. Of these, 11 exhibited sequence variations between bulks and validation (qPCR) revealed a significant difference in the expression of nine candidate genes (LcGA20oxG, LcFRI, LcLFY, LcSPL13a, Lcu.2RBY.3g060720, Lcu.2RBY.3g062540, Lcu.2RBY.3g062760, LcELF3a, and LcEMF1). Interestingly, the LcELF3a gene showed significantly higher expression in late‐flowering genotype and exhibited substantial involvement in promoting lateness. Subsequently, an InDel marker (I‐SP‐383.9; LcELF3a gene) developed from LcqDTF3.2 QTL region showed 82.35% PVE (phenotypic variation explained) for earliness. The cloning, sequencing, and comparative analysis of the LcELF3a gene from both parents revealed 23 SNPs and InDels. Interestingly, a 52 bp deletion was recorded in the LcELF3a gene of L4775, predicted to cause premature termination of protein synthesis after 4 missense amino acids beyond the 351st amino acid due to the frameshift during translation. The identified InDel marker holds significant potential for breeding early maturing lentil varieties. [ABSTRACT FROM AUTHOR]

The result of the implemented research is the development of a technology for sprouted lentil (lentil malt) production using cold plasma-treated aqueous solutions. The object of the study was lentil grain. The main technological task is to obtain high-quality lentil malt suitable for producing gluten-free beer and highly nutritious foods. The rationality of using cold plasma-treated aqueous solutions as an intensifier of lentil grain germination process and high-quality lentil malt disinfectant is experimentally proven. It is confirmed that using cold plasma-treated aqueous solutions can accelerate the process of lentil bean moistening by 2 times. The germination indicators of lentils also experienced positive changes, with germination energy increased by 8–16 %, germination capacity by 3–10 %, and sprout length by 12–29 %. An analysis of the amino acid composition of lentil grain and lentil malt was carried out. Thus, the experimental samples had an increased content of amino acids: non-essential by 2.7 %, essential by 3.6 %. There was also an increase in the content of B vitamins (B1, B2, B5, B9), as well as PP and C, which indicates an increased biological value of lentil malt obtained by the presented technologies. In addition, the work noted the steady antiseptic properties of activated aqueous solutions in relation to lentil malt. The intensive technology of obtaining lentil malt can be implemented in the industrial production of malt for the brewing industry. In addition, sprouted lentil beans have health-improving properties and can be used in the production of functional products. The presented technology of lentil bean malting will be in demand in the production of highly nutritious and healthy grain products and fermented beverages. [ABSTRACT FROM AUTHOR]

Background: Lentil (Lens culinaris Medik.) is a globally-significant agricultural crop used to feed millions of people. Lentils have been cultivated in the Australian states of Victoria and South Australia for several decades, but efforts are now being made to expand their cultivation into Western Australia and New South Wales. Plant architecture plays a pivotal role in adaptation, leading to improved and stable yields especially in new expansion regions. Image-based high-throughput phenomics technologies provide opportunities for an improved understanding of plant development, architecture, and trait genetics. This paper describes a novel method for mapping and quantifying individual branch structures on immature glasshouse-grown lentil plants grown using a LemnaTec Scanalyser 3D high-throughput phenomics platform, which collected side-view RGB images at regular intervals under controlled photographic conditions throughout the experiment. A queue and distance-based algorithm that analysed morphological skeletons generated from images of lentil plants was developed in Python. This code was incorporated into an image analysis pipeline using open-source software (PlantCV) to measure the number, angle, and length of individual branches on lentil plants. Results: Branching structures could be accurately identified and quantified in immature plants, which is sufficient for calculating early vigour traits, however the accuracy declined as the plants matured. Absolute accuracy for branch counts was 77.9% for plants at 22 days after sowing (DAS), 57.9% at 29 DAS and 51.9% at 36 DAS. Allowing for an error of ± 1 branch, the associated accuracies for the same time periods were 97.6%, 90.8% and 79.2% respectively. Occlusion in more mature plants made the mapping of branches less accurate, but the information collected could still be useful for trait estimation. For branch length calculations, the amount of variance explained by linear mixed-effects models was 82% for geodesic length and 87% for Euclidean branch lengths. Within these models, both the mean geodesic and Euclidean distance measurements of branches were found to be significantly affected by genotype, DAS and their interaction. Two informative metrices were derived from the calculations of branch angle; 'splay' is a measure of how far a branch angle deviates from being fully upright whilst 'angle-difference' is the difference between the smallest and largest recorded branch angle on each plant. The amount of variance explained by linear mixed-effects models was 38% for splay and 50% for angle difference. These lower R2 values are likely due to the inherent difficulties in measuring these parameters, nevertheless both splay and angle difference were found to be significantly affected by cultivar, DAS and their interaction. When 276 diverse lentil genotypes with varying degrees of salt tolerance were grown in a glasshouse-based experiment where a portion were subjected to a salt treatment, the branching algorithm was able to distinguish between salt-treated and untreated lentil lines based on differences in branch counts. Likewise, the mean geodesic and Euclidean distance measurements of branches were both found to be significantly affected by cultivar, DAS and salt treatment. The amount of variance explained by the linear mixed-effects models was 57.8% for geodesic branch length and 46.5% for Euclidean branch length. Conclusion: The methodology enabled the accurate quantification of the number, angle, and length of individual branches on glasshouse-grown lentil plants. This methodology could be applied to other dicotyledonous species. [ABSTRACT FROM AUTHOR]

Featured Application: This study investigates the possibility of using the probiotic strain Lactobacillus plantarum 299v to ferment legume-derived beverages to enhance their bioactive properties. It has practical relevance in the development of innovative functional foods, nutraceuticals, supplements, or pharmaceuticals. Moreover, this study may be significant for exploring novel plant-based foods and searching for alternative protein sources. The investigations suggest effective approaches to increase the use of pulses, promoting their consumption and significance in the food industry. There is a global need to explore alternative protein sources and develop new health-promoting plant-based products. This study aimed to produce beverages from organic seeds of chickpeas and green or red lentils and assess the potential of using L. plantarum 299v to ferment these beverages. Spectrophotometric methods were used to evaluate the ability of the beverages to neutralize 1,1-diphenyl-2-picrylhydrazyl radicals (DPPH•) and chelate Fe2+. Total dietary fiber (including soluble and insoluble fractions) and the protein profiles were compared among the tested legume-derived beverages. The observations were focused on reductions in pH levels, total extract content, dietary fiber, ash, and moisture levels in all the fermented legume products. Fermentation contributed to increased antioxidative activity in all the tested products. The strongest ability to chelate Fe2+ (58.33 ± 2.35%) was noted in non-fermented green lentil products, while green lentil beverages fermented for 72 h exhibited the highest value of free radical scavenging activity (88.44 ± 4.24 DPPH• inhibition %). Chickpea products fermented for 72 h displayed the highest count of viable bacterial cells at 7.0 ± 0.7 × 108 CFU/g, while those fermented for 48 h exhibited the greatest number (2764) of potential biopeptide sequences. These findings highlight the feasibility of using this probiotic strain to enhance the functional properties of legume-based beverages. [ABSTRACT FROM AUTHOR]

Polystyrene nanoplastics and titaniumdioxide nanoparticles arewidely spread in all environments, often coexisting within identical frameworks. Both these contaminants can induce negative effects on cell and plant physiology, giving concerns on their possible interaction which could increase each other's harmful effects on plants. Despite the urgency of this issue, there is very little literature addressing it. To evaluate the potential risk of this co-contamination, lentil seeds were treated for five days with polystyrene nanoplastics and titanium dioxide nanoparticles (anatase crystalline form), alone and in co-presence. Cytological analyses, and histochemical and biochemical evaluation of oxidative stress were carried out on isolated shoots and roots. TEM analysis seemed to indicate the absence of physical/chemical interactions between the two nanomaterials. Seedlings under cotreatment showed the greatest cytotoxic and genotoxic effects and high levels of oxidative stress markers associated with growth inhibition. Even if biochemical data did not evidence significant differences between materials treated with polystyrene nanoplastics alone or in copresence with titanium dioxide nanoparticles, histochemical analysis highlighted a different pattern of oxidative markers, suggesting a synergistic effect by the two nanomaterials. In accordance, the fluorescence signal linked to nanoplastics in root and shoot was higher under cotreatment, perhaps due to the well-known ability of titanium dioxide nanoparticles to induce root tissue damage, in this way facilitating the uptake and translocation of polystyrene nanoplastics into the plant body. In the antioxidant machinery, peroxidase activity showed a significant increase in treated roots, in particular under cotreatment, probably more associated with stress-induced lignin synthesis than with hydrogen peroxide detoxification. Present results clearly indicate the worsening by metal nanoparticles of the negative effects of nanoplastics on plants, underlining the importance of research considering the impact of cotreatments with different nanomaterials, which may better reflect the complex environmental conditions. [ABSTRACT FROM AUTHOR]

Background: Lentil is a significant legume that are consumed as a staple food and have a significant economic impact around the world. The purpose of the present research on lentil was to assess the hydrothermal time model's capacity to explain the dynamics of Lens culinaris L. var. Markaz-09 seed germination, as well as to ascertain the germination responses at various sub-optimal temperatures (T) and water potentials (Ψ). In order to study lentil seed germination (SG) behavior at variable water potentials (Ψs) and temperatures (Ts). A lab experiment employing the hydrothermal time model was created. Seeds were germinated at six distinct temperatures: 15 0С, 20 0С, 25 0С, 30 0С, 35 0С, and 40 0С, with five Ψs of 0, -0.3, -0.6, -0.9, and − 1.2 MPa in a PEG-6000 (Polyethylene glycol 6000) solution. Results: The results indicated that the agronomic parameters like Germination index (GI), Germination energy (GE), Timson germination index (TGI), were maximum in 25 0C at (-0.9 MPa) and lowest at 40 0C in 0 MPa. On other hand, mean germination time (MGT) value was highest at 15 0C in -1.2 MPa and minimum at 40 0C in (-0.6 MPa) while Mean germination rate (MGR) was maximum at 40 0C in (0 MPa) and minimum at 15 0C in (-0.6 MPa). Conclusions: The HTT model eventually defined the germination response of Lens culinaris L. var. Markaz-09 (Lentil) for all Ts and Ψs, allowing it to be employed as a predictive tool in Lens culinaris L. var. Markaz-09 (Lentil) seed germination simulation models. [ABSTRACT FROM AUTHOR]

Background: Being a cool season crop, lentil is very sensitive to temperature during its growth stages. It is found that delayed harvest of the preceding crop which is most frequently rice causes the majority of the country's lentil sowings to be postponed in India. As a result, the late-sown crop suffers during the seed-filling stage due to the rising high temperatures in most of its cultivated areas and results in lower yield. Therefore, there is a need to work out the optimum sowing time for realizing maximum yield potential as well as the selection of varieties suitable for normal as well as late sown condition of the crop. Methods: A field experiment was carried out in the new alluvial zone of West Bengal at the District Seed Farm of BCKV, Kalyani during the two subsequent rabi seasons (November-March) of 2019-2020 and 2020-2021 to examine the difference in yield between normal and late seeding conditions for various lentil cultivars. There were a total of ten genotypes evaluated, with each one being planted at one of two different times (15th Nov and 30th Nov). Result: The experimental findings revealed that lentil sown on 15th November recorded higher seed yield (2.34 t ha-1) compared to 30th November sown crop (1.63 t ha-1). Among the ten varieties, unreleased genotype C23E21 recorded the highest seed yield (2.25 t ha-1), followed by ILL 10802 (2.18 t ha-1). According to the results of this study, delaying the sowing window from the middle to the end of November can reduce yields by as much as 27.77%. Therefore, it is prudent to encourage the lentil farmers in the new alluvial zone region of West Bengal to sow their crops no later than the 15th of November of the Rabi season, to prevent a drop in production. [ABSTRACT FROM AUTHOR]

Background: Research examination led during the Rabi season of 2018-19 and 2019-20 to discover the Effect of hormonal seed strengthening on seed health status under accelerated ageing test in lentil (Lens culinaris Medik.) at state seed testing laboratory. The Blotter test was conducted in CRD plan with four replications. From the examination it was demonstrated that the hormonal treatment with salicylic acid at RH (90%) and temperature (35°C) for 2 days ageing showed least infection, while contagious contamination higher with the increment in relative humidity, temperature and duration of artificial ageing. Methods: During the years 2018 to 2020, the current experiment was carried out at the state seed testing laboratory, Department of Genetics and Plant Breeding, SHUATS, Prayagraj, Uttar Pradesh. In the experiment, 37 different treatment permutations were used. To accelerate the ageing process, the seeds were placed in an ageing chamber with high temperatures and relative humidity. The aged seeds was then revitalized with hormones, a process known as hormonal seed fortification. Result: Our finding revealed that the aged seeds treated with gibberellic acid and salicylic acid (Growth Hormone) enhanced the quality of seed health status in Lentil. [ABSTRACT FROM AUTHOR]

The low solubility and enhanced fixation of zinc (Zn) in semi-arid and dry climates limits Zn uptake in plants. Zn deficiency in soil impairs crop production and human health, necessitating agricultural biofortification. A pot experiment was conducted to evaluate the effect of Zn and various types of manure on the Zn biofortification of lentils. The treatments, consisting of a control (Con), normal manure (NM), composted manure (CM), and acidified manure (AM), were applied under saline soil (EC 8.00 dS m−1) and non-saline soil (EC 1.48 dS m−1) conditions along with two levels of Zn, including Zn at 0 kg ha−1 (native soil Zn = 2.2 mg kg−1) and Zn at 25 kg ha−1 (62.2 mg Zn kg−1 soil was achieved). The AM was prepared by adding sulfur and sulfur-oxidizing bacteria to the composted manure. All the manures were applied at 1% (w/w), and ZnSO4 (33% Zn) was used as a Zn source. Lentil variety Masoor 2021 was cultivated as a test crop in five replications of each treatment arranged in a completely randomized design. Applying AM with Zn considerably increased the lentils' growth, yield, and Zn content under saline and non-saline conditions. Under non-saline soils, the treatment of AM + Zn significantly promoted the Zn content in the root (132.5%), shoot (91.7%), grain (49.1%), root length (79.7%), plant height (33.7%), and SPAD value (29.9%). Under saline conditions, application of AM + Zn promoted uptake of Zn in the root (218.5%), Zn content in the shoot (175.7%), Zn accumulation in the grain (107.7%), root length (109.7%), plant height (37.8%), and SPAD value (52.8%) compared to the control. According to the results, lentils should be grown with AM and Zn to increase their growth, yield, and Zn content significantly. This is a cost-effective and sustainable way to combat Zn deficiency in lentils. [ABSTRACT FROM AUTHOR]

The global environmental changes require the development of new food formulations with sustainable ingredients. In this context, legumes could be used to enrich foods with beneficial consequences both on human health and sustainability of the agri‐food system. The aim was to evaluate the liking of a whole corn‐based formulation including chickpea or red lentil flour with or without providing health and environmental information about legumes. The effect of the conveyed information in subjects with different food neophobia (FN) level as well as the association between FN and different sustainability dimensions were also investigated. A 100% whole‐corn sample and two samples added with 20% of chickpea or red lentil flour were tested by 127 consumers in blind, expected, and real conditions. Subjects completed questionnaires about FN, sustainable behavior, perceived environmental impact of food products, beliefs, and attitudes toward sustainable food. Legume‐based products were equally liked as the control sample indicating that these food ingredients are promising for the enrichment of polenta samples. The information increased consumers' hedonic expectations. However, incomplete assimilation was found for samples with legumes. When the effect of information was assessed as a function of FN level, a complete assimilation for subjects with low (chickpea sample) and medium (red lentil sample) FN score was found, while no significant effect was seen for subjects with high FN score. A significant negative association was found between FN and sustainability commitment. Practical Application: The results of the present study demonstrate that the development of sustainable food formulations using legumes is promising and that conveying health and environmental sustainability information contribute to increase consumer acceptance. However, consumers with high levels of FN were insensitive to information and were also those with low interest in sustainability issues. As a practical application, personalized communication strategies should be developed to reach different consumers targets when specific innovations are launched on the market alongside with industry efforts in developing marketing initiatives raising consumers awareness about health and environmental aspects. [ABSTRACT FROM AUTHOR]

Animal-based foods have a large impact on the environment; for this reason, plant-based meat analogous are now in the spotlight. Although protein concentrates/isolates from soy are the most used raw materials for meat analogues, some concerns about allergenicity, loss of biodiversity, and low sustainability of their production rise from their uses. In this context, high protein fractions obtained by air classification of pulse flours are here proposed as substitutes of protein concentrates. Thus, this work is aimed at understanding the aptitude of high protein fraction from pulses to be transformed into meat analogous through high moisture extrusion process. Differences in functional and rheological properties among high protein fractions resulted in different high moisture extrusion properties and thus products with different appearance. Specifically, the foaming capacity of high protein fraction from red lentil resulted in expansion at the end of the extruder creating a heterogeneous structure, whereas the high lipid content of high protein fraction from chickpea can account for the unsuitability of this raw material to high moisture extrusion. On the contrary, high protein fraction from both fava bean and yellow pea presented a fibrous structure. However, the structure and textual properties of the final products need to be further investigated. [ABSTRACT FROM AUTHOR]