Important Crop Research Articles

Direct regeneration-mediated in vitro propagation and microtuberization of potato: An appraisal of the past ten-year period

Potato (Solanum tuberosum L.) is one of the most important food crops widely cultivated worldwide due to its edible and nutrition-rich tubers. It is a temperate crop; however, currently, it is grown in a wide range of areas with distinctive climatic conditions. Traditionally, potato is propagated by whole or cut tubers and true potato seeds. Owing to the low rate of multiplication and high cost of cultivation to produce virus-free planting material during traditional propagation, the in vitro technique becomes an alternative approach to conventional propagation. Over the past ten years, significant advancements have been made in the optimization of protocols for several varieties/cultivars of potato via a direct regeneration-mediated approach. The present short-review illustrates the analysis of an array of significant published findings on various physical and chemical variables that are responsible for fruitful in vitro direct regeneration and microtuberization of potato. Furthermore, this short-review describes a number of undiscovered areas, research gaps, and major problems that might be accounted for advancing noteworthy ingenious approaches associated with potato biotechnology in the near future. The current short-review further addresses salient recommendations and conclusions (based on achievements during the last ten-year period), paving the way for potato researchers to work on several unexplored areas in the coming years.

Inhibitory activities of ten accessions of underutilised West Africa legume Macrotyloma geocarpum (Harms) Maréchal & Baudet, growing in Nigeria against metabolic enzymes α-amylase and α-glucosidase

Underutilised legumes are important crop species whose cultivation and consumption are declining despite their medicinal and nutritional benefits. One of the most pressing global health concerns of the twenty-first century is diabetes, characterised by elevated blood sugar levels (hyperglycaemia). Food plays a huge role in the incidence and management of metabolic diseases such as diabetes. Hence, pharmacological research along the food-medicine continuum is being ignited by recent evidence linking diet to health and illness incidence. Herein, we determined in vitro the inhibitory effects of the gene bank-stored seed and freshly cultivated seed and leaf extracts of ten accessions of an underutilised legume (Macrotyloma geocarpum) on the enzymes involved in carbohydrate breakdown to glucose (α-amylase and α-glucosidase) as a strategy to reduce hyperglycaemia. The extracts of seed accessions obtained from the gene bank showed weakly α-amylase inhibition (IC50 range = 300–1000 µg/mL) while, extracts of the cultivated seed accessions generally showed enhanced inhibitory effects (IC50 range = 63–355 µg/mL), when compared to standard Acarbose® (IC50 = 64.23 ± 0.02 µg/mL). Freshly harvested seed accessions (72–616 µg/mL) were also observed to have enhanced inhibitory effects on α-glucosidase enzyme than the seeds from the gene bank (39–185 µg/mL) when compared to Acarbose® (73.23 ± 0.02 µg/mL). However, the leaf extracts of the cultivated accessions displayed significantly higher α–amylase inhibition (IC50 range = 54–61 µg/mL) than the cultivated seeds while a reversed case was observed in the α–glucosidase inhibition. Overall, this study suggests the medicinal importance of the underutilised M. geocarpum legume in the management of diabetes while considering the varying bioactive effects of the accessions as well as cultivation and storage.

Optimization of Genotyping‐by‐Sequencing (GBS) for Germplasm Fingerprinting and Trait Mapping in Faba Bean

ABSTRACTFaba bean (Vicia faba L.) is an important pulse crop with a wide range of agroecological adaptations. The development of genomic tools and a comprehensive catalog of extant genetic diversity are crucial for developing improved faba bean cultivars. The lack of a cost‐effective genotyping platform limits the characterization of large germplasm collections, understanding of genetic diversity across populations, and implementing breeder's tools like genomic selection. Genotyping‐by‐sequencing (GBS) offers high‐resolution genotyping for both model and crop plant species, even without a reference genome sequence. The genome fragments targeted by GBS depend substantially on the restriction enzyme (RE) used for the complexity reduction step. Species with complex genomic architecture require optimization of GBS with proper RE to realize the full potential of GBS. Here, we evaluated various REs in the GBS method and identified that the combination of ApeKI/MseI proved to be the most appropriate for faba bean based on the best library quality, a high number of genomic loci spread across chromosomes, and high enrichment loci associated with the gene space. With the new optimized protocol, we constructed a genetic map using a recombinant inbred line (RIL) population and identified a QTL for seed hilum color on Chromosome 1. In addition, we also genotyped a diversity panel and performed a genome‐wide association studies (GWAS) for important agronomic traits, including plant height (PH), flowering time (FT), and number of pods per plant (PPP). We identified six SNP markers significantly associated with these traits and listed potential candidate genes. The optimized faba bean‐specific GBS procedure will facilitate access to the untapped genetic diversity for genetic research and breeding and may facilitate functional genomics.

Phenotypic diversity and population structure of Pecan (Carya illinoinensis) collections reveals geographic patterns

Pecan (Carya illinoinensis) is an economically important nut crop known for its genetic diversity and adaptability to various climates. Understanding the growth variability, phenological traits, and population structure of pecan populations is crucial for breeding programs and conservation. In this study, plant growth and phenological traits were evaluated over three consecutive seasons (2015–2017) for 550 genotypes from 26 provenances. Significant variations in plant height, stem diameter, and budbreak were observed among provenances, with Southern provenances exhibiting faster growth and earlier budbreak compared to Northern provenances. Population structure analysis using SNP markers revealed eight distinct subpopulations, reflecting genetic differentiation among provenances. Notably, Southern Mexico collections formed two separate clusters, while Western collections, such as 'Allen 3', 'Allen 4', and 'Riverside', were distinguished from others. 'Burkett' and 'Apache' were grouped together due to their shared maternal parentage. Principal component analysis and phylogenetic tree analysis further supported subpopulation differentiation. Genetic differentiation among the 26 populations was evident, with six clusters highly in agreement with the subpopulations identified by STRUCTURE and fastSTRUCTURE. Principal components analysis (PCA) revealed distinct groups, corresponding to subpopulations identified by genetic analysis. Discriminant analysis of PCA (DAPC) based on provenance origin further supported the genetic structure, with clear separation of provenances into distinct clusters. These findings provide valuable insights into the genetic diversity and growth patterns of pecan populations. Understanding the genetic basis of phenological traits and population structure is essential for selecting superior cultivars adapted to diverse environments. The identified subpopulations can guide breeding efforts to develop resilient rootstocks and contribute to the sustainable management of pecan genetic resources. Overall, this study enhances our understanding of pecan genetic diversity and informs conservation and breeding strategies for the long-term viability of pecan cultivation.

Field Evaluation of Integrated Pest Management Strategies against Chilli Black Thrips Thrips parvispinus (Karny), in the Srikakulam District

Chilli (Capsicum annum L) is an important spice crop grown extensively in India for both domestic and export markets. Invasive black thrips Thrips parvispinus has been causing destructive damage to chilli crop in India leading to indiscriminate use of insecticidal sprays. On-farm trials were conducted during Kharif and Rabi 2022-23 & 2023-24 to evaluate Integrated Pest Management practices against black thrips with emphasis on minimal pesticidal sprays with different mode of actions so that pests may not develop resistance which will reduce the residues on the produce in the farmer’s fields of Srikakulam district of Andhra Pradesh. IPM adopted fields i.e. seed treatment, marigold as trap crop, erection of blue sticky traps, Beauveria bassiana spray and Neem oil and Fipronil 5 SC spray at 30 DAT; Imidacloprid+Fipronil 40%WG spray at 50 DAT; have shown 40 to 85 per cent reduction in black thrips infestation over farmers practice during all the seasons of both the years. This resulted in a higher average mean yield of 57 q/ha, average net returns of Rs. 4,96,000 per hectare with cost benefit ratio of 3.29 in IPM fields over farmer’s practice depicting that the adoption of IPM practices helped in reducing the pest incidence and increase in yield, net returns.

Nano-Fe3O4: Enhancing the tolerance of Elymus nutans to Cd stress through regulating programmed cell death

Cadmium (Cd) poses a significant threat to plant growth and the environment. Nano-Fe3O4 is effective in alleviating Cd stress in plants. Elymus nutans Griseb. is an important fodder crop on the Qinghai-Tibetan Plateau (QTP). However, the potential mechanism by which nano-Fe3O4 alleviates Cd stress in E. nutans is not well understood. E. nutans were subjected to single Cd, single nano-Fe3O4, and co-treatment with nano-Fe3O4 and Cd, and the effects on morphology, Cd uptake, antioxidant enzyme activity, reactive oxygen species (ROS) levels and programmed cell death (PCD) were studied to clarify the regulatory mechanism of nano-Fe3O4. The results showed that Cd stress significantly decreased the germination percentage and biomass of E. nutans. The photosynthetic pigment content decreased significantly under Cd stress. Cd stress also caused oxidative stress and lipid peroxidation, accumulation of excessive ROS, resulting in PCD, but the effect of nano-Fe3O4 was different. Seed germination, seedling growth, and physiological processes were analyzed to elucidate the regulatory role of nano-Fe3O4 nanoparticles in promoting photosynthesis, reducing Cd accumulation, scavenging ROS, and regulating PCD, to promote seed germination and seedling growth in E. nutans. This report provides a scientific basis for improving the tolerance of Elymus to Cd stress by using nano-Fe3O4.

Bio-control efficacy of selected indigenous nematophagous fungi against Meloidogyne enterolobii in vitro and on dry bean (Phaseolus vulgaris L.).

Dry bean (Phaseolus vulgaris L.) is an important commercialized field crop in South Africa for aiding in food security as a cheap protein source. However, it is highly susceptible to root-knot nematodes (RKN), Meloidogyne species. Use of indigenous nematophagous fungi as bio-control agents (BCA) of Meloidogyne nematodes is a promising research focus area. This is because indigenous fungal species are naturally part of the ecosystem and therefore compatible with other biological processes unlike most synthetic chemicals. The objective of the study was to identify indigenous nematophagous fungal BCA and establish their potential efficacy in reducing M. enterolobii population densities on dry bean with and without incorporation of compost. Screened indigenous fungal species included Aspergillus terreus, Talaromyces minioluteus, T. sayulitensis, Trichoderma ghanense, and T. viride. There were observed significant parasitism differences (P ≤ 0.05) among the BCA, with T. ghanense showing the highest egg parasitism (86%), followed by T. minioluteus (72%) and T. sayulitensis (70%). On the other hand, the highest J2 parasitism was observed on T. minioluteus (95%), followed by A. terreus and T. viride (63%). A similar trend was observed under in vivo conditions, with higher efficacy with compost incorporation. This provides a highly encouraging alternative and ecologically complementary Meloidogyne management in dry bean production.

Analisis Rantai Nilai Kopi untuk Meningkatkan Nilai Tambah Petani Kopi di Kecamatan Paguyangan Brebes

The current coffee potential in Brebes Regency has not been accompanied by high income for coffee farmers. This is because farmers' knowledge of how to maintain coffee plants is still very low, farmer organizations are weak and government support is limited. Until now, coffee has not been considered a crop of strategic importance. The purpose of this study was to identify coffee commodity resources, analyze the value chain and determine cost drivers. This study used a mixed research approach of both qualitative and quantitative research. The qualitative research approach was to answer the research questions posed. Quantitative research in this study is to calculate the cost value of each process activity in coffee processing. Based on the value chain analysis, the determinants of downstream coffee processing products are greenbean processing, roasting and grinding. Greenbean processing is able to add value by 47.5% for robusta type and 71.47% for arabica coffee type. While roasting and grinding activities are able to increase the added value by 65.36% for robusta type and 85.12% for arabica type.

Sensory quality of coffee (Coffea arabica L.): Influence of tree diversity and harvest segmentation in agroforestry systems

Coffee (Coffea arabica L.) is a globally important agricultural crop with increasing quality requirements. However, the challenges posed by climate change impact cup quality. Therefore, the objective was to evaluate the influence of tree diversity and crop segmentation under agroforestry systems on the sensory characteristics of coffee. The study employed a 4A*3B factorial design, with factor A: agroforestry systems (mixed system, shade-free system, system with Erythrina edulis and system with Inga edulis) and factor B: segmented harvest (upper, middle, and lower third cherries). Fragrance/aroma, flavor, residual flavor, acidity, body, uniformity, balance, clean cup, sweetness, cupper's score, and final score were evaluated. The results suggest that coffee trees planted in mixed systems provide the best sensory characteristics of coffee in the cup since the highest averages were obtained in most of the variables evaluated. Likewise, it is concluded that the diversity of trees (mixed system and system with Erythrina edulis) has a positive influence on the sensory quality of the coffee, reaching a score of 82.86 and 82.64 for the mixed system and the system with Erythrina edulis respectively; categorizing them as specialty coffees. Agroforestry systems constitute an option for developing sustainable agriculture while improving the sensory quality of coffee in the Peruvian Amazon.

Community Resource: Large-Scale Proteogenomics to Refine Wheat Genome Annotations.

Triticum aestivum is an important crop whose reference genome (International Wheat Genome Sequencing Consortium (IWGSC) RefSeq v2.1) offers a valuable resource for understanding wheat genetic structure, improving agronomic traits, and developing new cultivars. A key aspect of gene model annotation is protein-level evidence of gene expression obtained from proteomics studies, followed up by proteogenomics to physically map proteins to the genome. In this research, we have retrieved the largest recent wheat proteomics datasets publicly available and applied the Basic Local Alignment Search Tool (tBLASTn) algorithm to map the 861,759 identified unique peptides against IWGSC RefSeq v2.1. Of the 92,719 hits, 83,015 unique peptides aligned along 33,612 High Confidence (HC) genes, thus validating 31.4% of all wheat HC gene models. Furthermore, 6685 unique peptides were mapped against 3702 Low Confidence (LC) gene models, and we argue that these gene models should be considered for HC status. The remaining 2934 orphan peptides can be used for novel gene discovery, as exemplified here on chromosome 4D. We demonstrated that tBLASTn could not map peptides exhibiting mid-sequence frame shift. We supply all our proteogenomics results, Galaxy workflow and Python code, as well as Browser Extensible Data (BED) files as a resource for the wheat community via the Apollo Jbrowse, and GitHub repositories. Our workflow could be applied to other proteomics datasets to expand this resource with proteins and peptides from biotically and abiotically stressed samples. This would help tease out wheat gene expression under various environmental conditions, both spatially and temporally.

Advances in research on the main nutritional quality of daylily, an important flower vegetable of Liliaceae.

Daylily (Hemerocallis citrina) is a perennial herb of the genus Hemerocallis of Liliaceae. It is also an economically important crop and is widely cultivated. Daylily has nutritional, medicinal and ornamental values. The research literature shows that daylily is a high-quality food raw material rich in soluble sugars, ascorbic acid, flavonoids, dietary fiber, carotenoids, mineral elements, polyphenols and other nutrients, which are effective in clearing heat and diuresis, resolving bruises and stopping bleeding, strengthening the stomach and brain, and reducing serum cholesterol levels. This article reviews the main nutrients of daylily and summarizes the drying process of daylily. In addition, due to the existence of active ingredients, daylily also has a variety of biological activities that are beneficial to human health. This article also highlights the nutritional quality of daylily, the research progress of dried vegetable rehydration technology and dried daylily. In the end, the undeveloped molecular mechanism and functional research status of daylily worldwide are introduced in order to provide reference for the nutritional quality research and dried processing industry of daylily.

Economic Advantage of Sorghum Based Intercropping System for Western Zone of Tamil Nadu, India

Sorghum is the fifth most important crop. Being a C4 crop, it can withstand adverse climatic conditions. It can be used for food, feed, fodder, and biofuel. Sorghum can perform better under future climatic conditions than other crops and can be a better option in the future that can ensure the food and nutritional security of the country. A sorghum-based intercropping system can be a great option to ensure sustainability by fetching additional income from legume crops without compromising the yield of sorghum. An experiment was conducted at Tamil Nadu Agricultural University during the summer of 2021 to evaluate the economic benefits of a sorghum-based intercropping system. The treatment consists of T1-Sorghum Sole crop, T2-2rows of Sorghum+2rows of Cowpea, T3-2rows of Sorghum+1row of Cowpea, T4-2rows of Sorghum+2rows of Greengram, T5-2rows of Sorghum+1rows of Greengram, T6-2rows of Sorghum+2rows of Lablab, T7-2rows of Sorghum+1rows of Lablab. The economic benefits of the cropping system were evaluated by considering the yield, BCR, and LER. The yield of sorghum (3 t ha-1) planted under T7 was significantly higher than that of sole sorghum (T1). The net return from T7 (₹ 67872 ha-1) was higher than other treatments because of the additional income generated from the lablab (high market value at the time of harvest). The B:C ratio of the intercropping system was 2.7, whereas sole sorghum registered the lowest BCR of 1.9. The compatible performance of the intercropping system yielded a higher net return and BCR. Hence, intercropping of sorghum with legumes (especially lablab) is more productive and remunerative under a 2:1 pattern compared to sole cropping.

A lightweight and efficient model for grape bunch detection and biophysical anomaly assessment in complex environments based on YOLOv8s.

As one of the most important economic crops, grapes have attracted considerable attention due to their high yield, rich nutritional value, and various health benefits. Identifying grape bunches is crucial for maintaining the quality and quantity of grapes, as well as managing pests and diseases. In recent years, the combination of automated equipment with object detection technology has been instrumental in achieving this. However, existing lightweight object detection algorithms often sacrifice detection precision for processing speed, which may pose obstacles in practical applications. Therefore, this thesis proposes a lightweight detection method named YOLOv8s-grape, which incorporates several effective improvement points, including modified efficient channel attention (MECA), slim-neck, new spatial pyramid pooling fast (NSPPF), dynamic upsampler (DySample), and intersection over union with minimum point distance (MPDIoU). In the proposed method, MECA and NSPPF enhance the feature extraction capability of the backbone, enabling it to better capture crucial information. Slim-neck reduces redundant features, lowers computational complexity, and effectively reuses shallow features to obtain more detailed information, further improving detection precision. DySample achieves excellent performance while maintaining lower computational costs, thus demonstrating high practicality and rapid detection capability. MPDIoU enhances detection precision through faster convergence and more precise regression results. Experimental results show that compared to other methods, this approach performs better in the grapevine bunch detection dataset and grapevine bunch condition detection dataset, with mean average precision (mAP50-95) increasing by 2.4% and 2.6% compared to YOLOv8s, respectively. Meanwhile, the computational complexity and parameters of the method are also reduced, with a decrease of 2.3 Giga floating-point operations per second and 1.5 million parameters. Therefore, it can be concluded that the proposed method, which integrates these improvements, achieves lightweight and high-precision detection, demonstrating its effectiveness in identifying grape bunches and assessing biophysical anomalies.

Chromosome‐scale genome assembly of the autoalloenneaploid Arundo donax

AbstractBackgroundArundo donax L. has great potential as an energy crop due to its high biomass yield and broad adaptability, while lack of a reference genome is a hindrance to genetic improvement efforts for this species.MethodsGenome assembly of A. donax was conducted by utilizing PacBio SMRT sequencing and high‐throughput chromosome conformation capture technology, with further analysis exploring the plant's ploidy, whole‐genome duplication event, and evolutionary history through comparative genomics.ResultsThe genome assembly of A. donax consists of 1.30 Gb with a contig N50 size of 33.15 Mb. A total of 74 403 gene models were identified, with over 90% of genes being functionally annotated. Karyotype and synteny analyses revealed that A. donax is an autoalloenneaploid (3n = 9x = 108) and has experienced significant gene family expansion and two whole‐genome duplication events during its evolutionary history. Furthermore, utilizing the genome assembly, a variety of salinity stress‐related genes were uncovered through the analysis of public RNA‐seq data.ConclusionsThis study presents the initial chromosome‐scale genome assembly of A. donax, which will advance genetic comprehension and support the genetic enhancement of this important energy crop.

Influences of Thidiazuron Concentrations and Exposure Duration on Axillary Shoot Proliferation of Faba Bean [Vicia faba (L.)] Genotypes

Background: Faba bean is one of the most important feed grain legume crops in the world. However, this crop is a recalcitrant species for in vitro regeneration. Methods: In this study, in vitro shoot proliferation of ten faba bean genotypes, that are classified according to their seed size into small, medium and large, were investigated in response to different light regimes and thidiazuron (TDZ) treatments. Result: Incubation under different light regimes, explant type as well as genotypes influenced seedling growth and axillary shoot multiplication of faba bean. The explants with single cotyledon and incubated under continuous darkness for 6 days resulted higher number of shoot than nodal explants. Medium size seeded genotype (ILB4347) produced the highest shoot and root length and shoot proliferation as compared with large (Luz) or small (Triple White) seeded genotypes. The effects of TDZ concentrations (2-10 mM/L) and exposure duration (10 and 20 days) on axillary shoot multiplication were investigated for the ten faba bean using cotyledonary explants. The overall mean of TDZ time exposure showed that treatment of 20 days exposure had higher number of shoot compare to 10 days exposure treatment with 3.77 shoot per explant. On the basis of genotype used, the three most responsive genotype in tissue culture were medium sized seeds genotypes (ILB4347, Hassawi 2 and Misr 3 with 4.76, 4.40 and 4.15 shoot per explant, respectively). ILB4347 were the most responsive genotype in tissue culture. Treatment of 8 mM TDZ after 20 days followed by 2 weeks on MS medium without PGRs generated the highest proliferation with 6.63 shoot per explant. These findings contribute towards effective in vitro propagation of faba bean.

Managing fruit rot diseases of Vaccinium corymbosum.

Blueberry is an important perennial fruit crop with expanding consumption and production worldwide. Consumer demand for blueberries has grown due to the desirable flavor and numerous health benefits, and fresh market production in the U.S. has risen in turn. U.S. imports have also increased to satisfy year-round consumer demand for fresh blueberries. Pre- and post-harvest fruit diseases such as anthracnose (caused by Colletotrichum spp.) and botrytis fruit rot (caused by Botrytis spp.) have a significant impact on fruit quality and consumer acceptance. These are also among the most difficult diseases to control in the blueberry cropping system. These latent pathogens can cause significant losses both in the field, and especially during transport and marketplace storage. Although both diseases result in rotted fruit, the biology and infection strategies of the causal pathogens are very different, and the management strategies differ. Innovations for management, such as improved molecular detection assays for fungicide resistance, postharvest imaging, breeding resistant cultivars, and biopesticides have been developed for improved fruit quality. Development and integration of new strategies is critical for the long-term success of the blueberry industry.

Banana Classification Using Sanger Sequencing of the Ribosomal DNA Internal Transcribed Spacer (ITS) Region.

Banana (Musa spp.) is one of the most economically important horticultural crops. There are many types of banana, with differing ploidy (usually diploid, triploid, or tetraploid) and genome types (most containing the A or/and B genome). Currently, observation and genome type detection are commonly used to identify banana germplasm resources. However, observation is tedious, while genome type detection cannot distinguish categories below genome types. It is, therefore, urgent to establish a simple and effective method for identifying banana germplasm resources. This study sequenced and analyzed the ribosomal DNA internal transcribed spacer (ITS) sequences of 62 banana germplasm resources and found that the sequencing peaks, especially the 20 bp region near the 420-bp position (referred to as the 420-bp region), exhibited relatively recognizable and repeatable polymorphism characteristics. Using the 420-bp region as a marker, we were able to quickly distinguish bananas belonging to different genome type groups or different subgroups in the same genome type group. Moreover, it appeared that Sanger sequencing of ITS could be used to identify hybrid banana offspring. In general, ITS sequencing simplifies the classification of banana germplasm resources and has potential application in several areas of Musa improvement.

One-step genome engineering in bee gut bacterial symbionts.

Honey bees are ecologically and economically important crop pollinators with bacterial gut symbionts that influence their health. Microbiome-based strategies for studying or improving bee health have utilized wild-type or plasmid-engineered bacteria. We demonstrate that a straightforward, single-step method can be used to insert cassettes and replace genes in the chromosomes of multiple bee gut bacteria. This method can be used for investigating the mechanisms of host-microbe interactions in the bee gut community and stably engineering symbionts that benefit pollinator health.

Phosphorus and selenium compounding mitigates Cr stress in peanut seedlings by enhancing growth homeostasis and antioxidant properties.

Peanut is an economically important crop, but it is susceptible to Cr contamination. In this study, we used peanut as experimental material to investigate the effects of exogenous P, Se interacting with Cr on the nutrient growth and antioxidant system of peanut seedlings by simulating Cr (0μM, 50μM, and 100μM) stress environment. The results showed that exogenous P, Se supply could mitigate irreversible damage to peanut seedlings by altering the distribution of Cr in roots and aboveground, changing root conformation, and repairing damaged cells to promote growth. When the Cr concentration is 100μM, it exhibits the highest toxicity. Compared to the control group P and Se (0 MM), the treatment with simultaneous addition of P + Se (0.5 + 6.0) resulted in a significant increase in root length and root tip number by 248.7% and 127.4%, respectively. Additionally, there was a 46.9% increase in chlorophyll content, a 190.2% increase in total surface area of the seedlings, and a respective increase of 149.1% and 180.3% in soluble protein content in the shoot and roots. In addition, by restricting the absorption of Cr and reducing the synthesis of superoxide dismutase SOD (Superoxide dismutase), CAT (Catalase), POD (Peroxidase), and MDA (Malonaldehyde), it effectively alleviates the oxidative stress on the antioxidant system. Therefore, the exogenous addition of P (0.5 MM) and Se (6.0 MM) prevented the optimal concentration of chromium toxicity to peanuts. Our research provides strong evidence that the exogenous combination of P and Se reduces the risk of peanut poisoning by Cr, while also exploring the optimal concentration of exogenous P and Se under laboratory conditions, providing a basis for further field experiments.

Study of Genetic Variability and Character Association for Yield and Components Traits in Chickpea (Cicer arietinum L.) Germplasm in Bundelkhand Region

Chickpea (Cicer arietinum L.) is a very important crop among the grain legume crops in India. It is grown in north India in the winter season on marginal and semi-marginal land as a commonly non-irrigated crop. Bundelkhand, a region in Uttar Pradesh, India, is notorious for its harsh climate, characterized by extreme heat and drought stress. Temperature fluctuate with highs reaching 50°C in summer and lows of 5°C in winter, exert substantial adverse effects on chickpea cultivation, impairing crop growth and yield and demand to have genetic resources used in breeding programs. The experiment aimed to characterize and evaluate 204 chickpea lines, including commercial varieties, to understand the magnitude of variability and the association of various yield parameters on the yield of chickpea based on 12 agro-morphological characters under Bundelkhand region. ANOVA shows that significant variation exists for most of the characteristics of chickpeas. Higher GCV and PCV were observed for plant population (GCV 24.92, PCV 31.22) followed by the number of secondary branches (GCV 21.61, PCV 26.55), number of pods per plant (GCV 12.92, PCV 18.47), seed yield per plant (GCV 11.39, PCV 21.98) and biological yield per plant (GCV 11.68, PCV 20.37), revealing that the environment plays a positive role in the expression of these characters. High heritability was found by 100 seed weight (96.41) followed by seed yield per plant (84.11) and number of pods per plant (66.26) and a high degree of genetic advance was found in the number of pods per plant (26.24) followed by biological and seed yield per plant (15.25 and 6.92). High heritability coupled with high genetic advance was found in seed yield per plant, followed by biological yield per plant, indicating selection could be rewarding in proper breeding programs. Correlation and path studies showed that biological yield per plant (r-0.91), number of pods per plant (r- 0.680), number of secondary branches per plant (r-0.46), number of seeds per pod (r-0.32) and 100 seed weight (0.29) turned out to be the main components for seed yield per plant in chickpea, stipulating that these characters could be desirable selection parameter.