Diversity in morpho-pomological attributes and biochemical profiling of bael (Aegle marmelos (L.) Correa) genotypes of North-Western India.

Bael is a medicinal cum fruit tree with multipurpose utility and propagated mostly through seeds. The present study aimed to assess and analyse the morpho-pomological and biochemical traits of eighty seedlings grown bael genotypes comparison with two commercial cultivars (NB-5 and NB-9) of bael. The significant differences were detected among the genotypes based on the measured morpho-pomological and biochemical traits. The morpho-pomological and biochemical traits of bael exhibited variation ranging from 6.17% to 133.65%. Trunk girth ranged from 29.50 to 63.40 cm and tree spread (N-S) varied 1.00-6.30 m. Fruit length ranged from 4.60 to 12.05 cm and fruit width ranged from 4.64 to 11.72 cm. Moreover, fruit weight ranged from 56.33 to 917.65 g and pulp percentage varied from 58.64 to 81.38%. Soluble Solid Content ranged from 25.90 to 36.77 0brix and ascorbic acid varied from 14.38 to 25.45 mg/100 g. Fruit length was positively correlated with fruit width, fruit weight, pulp percentage, seed length, seed diameter and number of seeds per fruit, while it was negatively correlated with fruit surface and total number of fruit per plant. Principal component analysis showed that 76.66% of the variability observed was explained by the 13 components. Ward cluster analysis using Euclidean distance classified the genotypes into two main clusters. These findings contribute to a better understanding of the diversity and relationships among the studied genotypes, aiding future breeding and selection programs for improved bael cultivation.

Genetic Enhancement of Cereals Using Genomic Resources for Nutritional Food Security.

Advances in genomics resources have facilitated the evolution of cereal crops with enhanced yield, improved nutritional values, and heightened resistance to various biotic and abiotic stresses. Genomic approaches present a promising avenue for the development of high-yielding varieties, thereby ensuring food and nutritional security. Significant improvements have been made within the omics domain, specifically in genomics, transcriptomics, and proteomics. The advent of Next-Generation Sequencing (NGS) techniques has yielded an immense volume of data, accompanied by substantial progress in bioinformatic tools for proficient analysis. The synergy between genomics and computational tools has been acknowledged as pivotal for unravelling the intricate mechanisms governing genome-wide gene regulation. Within this review, the essential genomic resources are delineated, and their harmonization in the enhancement of cereal crop varieties is expounded upon, with a paramount focus on fulfilling the nutritional requisites of humankind. Furthermore, an encompassing compendium of the available genomic resources for cereal crops is presented, accompanied by an elucidation of their judicious utilization in the advancement of crop attributes.

Genetic Diversity, Conservation, and Utilization of Plant Genetic Resources.

Plant genetic resources (PGRs) are the total hereditary material, which includes all the alleles of various genes, present in a crop species and its wild relatives. They are a major resource that humans depend on to increase farming resilience and profit. Hence, the demand for genetic resources will increase as the world population increases. There is a need to conserve and maintain the genetic diversity of these valuable resources for sustainable food security. Due to environmental changes and genetic erosion, some valuable genetic resources have already become extinct. The landraces, wild relatives, wild species, genetic stock, advanced breeding material, and modern varieties are some of the important plant genetic resources. These diverse resources have contributed to maintaining sustainable biodiversity. New crop varieties with desirable traits have been developed using these resources. Novel genes/alleles linked to the trait of interest are transferred into the commercially cultivated varieties using biotechnological tools. Diversity should be maintained as a genetic resource for the sustainable development of new crop varieties. Additionally, advances in biotechnological tools, such as next-generation sequencing, molecular markers, in vitro culture technology, cryopreservation, and gene banks, help in the precise characterization and conservation of rare and endangered species. Genomic tools help in the identification of quantitative trait loci (QTLs) and novel genes in plants that can be transferred through marker-assisted selection and marker-assisted backcrossing breeding approaches. This article focuses on the recent development in maintaining the diversity of genetic resources, their conservation, and their sustainable utilization to secure global food security.

Phylogeny and pathogenicity of Colletotrichum lindemuthianum causing anthracnose of Phaseolus vulgaris cv. Bhaderwah-Rajmash from northern Himalayas, India.

With an annual loss of up to 100%, anthracnose caused by Colletotrichum is one of the most devastating diseases of common beans (Phaseolus vulgaris L.). Due to few distinctive morphological characters, Colletotrichum species are frequently misidentified. In India, several Colletotrichum species have been reported as pathogens of Phaseolus species, but none had previously been validated by means of molecular tools. In this study, we studied Colletotrichum strains from common beans cv. Bhaderwah-Rajmash from the northern Himalayas of India based on both morphological and DNA sequence data of six loci, namely ITS, gapdh, chs-1, his3, act, tub2. The strains were identified as C. lindemuthianum that belongs to the C. orbiculare species complex. Representative C. lindemuthianum strains tested on Phaseolus vulgaris cv. Bhaderwah-Rajmash were pathogenic and exhibited variation in symptomology and disease progression. By identifying the causal agent, we provided substantial information to develop the best control strategies for anthracnose of Phaseolus vulgaris from the northern Himalayas of India. Supplementary Information: The online version contains supplementary material available at 10.1007/s13205-022-03216-0.

Efficient High-throughput Techniques for the Analysis of Disease- Resistant Plant Varieties and Detection of Food Adulteration.

Over the past two decades, the advances in the next generation sequencing (NGS) platforms have led to the identification of numerous genes/QTLs at high-resolution for their potential use in crop improvement. The genomic resources generated through these high-throughput sequencing techniques have been efficiently used in screening of particular gene of interest particularly for numerous types of plant stresses and quality traits. Subsequently, the identified-markers linked to particular trait have been used in Marker-Assisted Backcross Breeding (MABB) activities. Besides, these markers are also being used to catalogue the food crops for detection of adulteration to improve the quality of food. With the advancement of technologies, the genomic resources are originating with new markers; however, to use these markers efficiently in crop breeding, High-Throughput Techniques (HTT) such as multiplex PCR and Capillary Electrophoresis (CE) can be exploited. Robustness, ease of operation, good reproducibility and low cost are the main advantages of multiplex PCR and CE. The CE is capable of separating and characterizing proteins with simplicity, speed and small sample requirements. Keeping in view the availability of vast data generated through NGS techniques and development of numerous markers, there is a need to use these resources efficiently in crop improvement programmes. In summary, this review describes the use of molecular markers in the screening of resistance genes in breeding programme and detection of adulterations in food crops using high-throughput techniques.

Efficacy of bioinoculants to control of bacterial and fungal diseases of rice (Oryza sativa L.) in northwestern Himalaya.

INTRODUCTION: Biological control holds great promise for environmentally friendly and sustainable management of the phytopathogens. The multi-function features of plant growth-promoting rhizobacteria (PGPR) enable to protect the plants from disease infections by replacing the chemical inputs. The interaction between the plant root exudates and the microbes stimulates the production of secondary metabolism and enzymes and induces systemic resistance in the plants. AIM: The aim was to identify the potential PGPR which would show an antagonistic effect against basmati rice fungal and bacterial diseases. METHODS: In the study, native originating microbes have been isolated, characterized using 16S rRNA sequencing, and used as potential antagonistic microbial isolates against diseases of rice plants. RESULTS: Rhizobacteria isolated from rhizosphere, endo-rhizosphere, and bulk soil samples of Basmati 370 exhibited promising inhibitory activity against rice pathogens. Molecular characterization of bacterial isolates based on 16S rRNA sequencing classified the bacterial isolates into different genera such as Bacillus, Pseudomonas, Streptomyces, Exiguobacterium, Aeromonas, Chryseobacterium, Enterobacter, and Stenotrophomonas. PGPRs exhibited biocontrol activities against various rice diseases like bacterial leaf blight, leaf blast, brown spot, and sheath blight and boost the plant growth traits. CONCLUSION: In the study, the potentially identified PGPRs isolates could be used as efficient bioinoculants as bio-fertilizers and biocontrol agents for sustainable rice crop production.

Genetic enhancement for semi-dwarf and bacterial blight resistance with enhanced grain quality characteristics in traditional Basmati rice through marker-assisted selection.

Ranbir Basmati is one of the traditional Basmati varieties of India and of the most popular traditional Basmati variety grown in Jammu's region (State of Jammu & Kashmir). It is a tall and short-duration variety with strong aroma and excellent cooking quality. However, it is susceptible to bacterial blight (BB) disease caused by Xanthomonas oryzae pv oryzae (Xoo) and prone to lodging. In this study, semi-dwarf (sd1) and BB resistance genes (Xa21 and xa13) were introgressed into Ranbir Basmati using marker-assisted backcross breeding (MABB) scheme. A high-yielding PAU148 carrying Xa21, xa13 and sd1 genes was used as a donor parent. On each generation target, genes were selected, while polymorphic SSR markers were used to select plants having maximum recovery of the recurrent genome. The maximum genome recovery of Ranbir Basmati in BC2F2 was 86.9% in introgressed line SBTIL121. The genotypes carrying resistant genes exhibited very high levels of tolerance against BB disease along with good Basmati rice grain quality traits. The agronomic traits of introgressed lines evaluated in the field and the laboratory showed that most of the agro-morphological traits were similar or superior to Ranbir Basmati. The identified lines can be further evaluated and released as Improved Ranbir Basmati variety.

Detection of QTL for panicle architecture in F2 population of rice.

Panicle traits are the most important agronomic characters which directly relate to yield in rice. Panicle length (PL) being one of the major components of rice panicle structure is controlled by quantitative trait loci (QTLs). In our research, conducted at Research Farm of SKUAST-J, crosses of parental lines K343 and DHMAS were made for generating F2 mapping population, which were then transplanted into the field using augmented design-I. The F2 population was used for phenotypic evaluation, development of linkage map and identification of QTLs on the chromosomes by using SSR markers. A total of 450 SSR markers were used for screening both the parents of which 53 highly polymorphic markers were selected and used for genotyping of 233 genotypes of F2population. Linkage map was generated using MAPMAKER/EXP3.0 software, seven linkage groups were found distributed on 11 chromosomes of rice. QTLs were detected using QTL Cartographer (v2.5) software. Based on 1000 permutation tests, a logarithm of odds (LOD) threshold value 2.0 and 3.0 was set. Composite interval mapping was used to map QTLs in populations derived from bi-parental crosses. The phenotypic data, genotypic data and the genetic linkage map generated identified total three QTLs of which one was identified for PL qPL2, located at 85.01 cM position with 2.1 LOD value and in between the marker intervals RM324-RM208, this QTL explained the phenotype variation by 4.36%. The other two QTLs were identified for spikelet density (SD) qSD3.1 and qSD3.2, located at 28.91 and 39.51 cM, respectively, both with a flanking marker RM6832 on chromosome 3. The LOD value and phenotypic variation explained for qSD3.1 and qSD3.2 was 3.00 and 3.25; 9.70 and 12.34% respectively. The reported QTLs identified in the study suggested a less diversity in the parents used and also the rejection of not so useful markers from the used set of markers for PL and SD.

Harnessing Genome Editing Techniques to Engineer Disease Resistance in Plants.

Modern genome editing (GE) techniques, which include clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated protein 9 (CRISPR/Cas9) system, transcription activator-like effector nucleases (TALENs), zinc-finger nucleases (ZFNs) and LAGLIDADG homing endonucleases (meganucleases), have so far been used for engineering disease resistance in crops. The use of GE technologies has grown very rapidly in recent years with numerous examples of targeted mutagenesis in crop plants, including gene knockouts, knockdowns, modifications, and the repression and activation of target genes. CRISPR/Cas9 supersedes all other GE techniques including TALENs and ZFNs for editing genes owing to its unprecedented efficiency, relative simplicity and low risk of off-target effects. Broad-spectrum disease resistance has been engineered in crops by GE of either specific host-susceptibility genes (S gene approach), or cleaving DNA of phytopathogens (bacteria, virus or fungi) to inhibit their proliferation. This review focuses on different GE techniques that can potentially be used to boost molecular immunity and resistance against different phytopathogens in crops, ultimately leading to the development of promising disease-resistant crop varieties.

CRISPR/Cas approach: A new way of looking at plant-abiotic interactions.

It is not the most grounded of the species that survive, nor the most shrewd, however one most receptive to change. Crop plants being sessile are subjected to various abiotic stresses resulting significant yield losses about an average of more than 50 percent, thus greatly threatening the global crop production. In this regard, plant breeding innovations and genetic engineering approaches have been used in the past for generating stress tolerant crop genotypes, but due to complex inheritance of abiotic stress tolerance these approaches are not enough to bring significant trait improvement and to guarantee world's future sustenance security. Although, RNA interference (RNAi) technology has been utilized amid the most recent decades to produce plants tolerant to environmental stress. But this technique ordinarily prompts to down-regulate as opposed to complete inhibition of target genes. Therefore, scientist/researchers were looking for techniques that should be efficient, precise and reliable as well as have potential to solve the issues experienced by previous approaches, and hence the CRISPR/Cas system came into spotlight. Although, only few studies using CRISPR/Cas approach for targeting abiotic stress tolerance related genes have been reported, but suggested its effective role for future applications in molecular breeding to improve abiotic stress tolerance. Hence, genome engineering via CRISPR-Cas system for targeted mutagenesis promise its immense potential in generating elite cultivars of crop plants with enhanced and durable climate resilience. Lastly, CRISPR-Cas will be future of crop breeding as well as to target minor gene variation of complex quantitative traits, and thus will be the key approach to release global hunger and maintain food security.

Population Structure Analysis and Selection of Core Set among Common Bean Genotypes from Jammu and Kashmir, India.

Understanding the genetic diversity of a crop is useful for its effective utilization in breeding programmes. For better understanding of the genetic variability in common bean, the first and foremost step is to study its genetic diversity. In the present investigation, 138 genotypes of common bean collected from various regions of Jammu and Kashmir, India, representing major common bean growing areas of this region, were evaluated using 23 SSRs. These SSRs were found highly polymorphic and possess high values for various parameters indicating their high discriminatory power. The average PIC value observed was 0.692, with 0.730 as average gene diversity value, and 0.267 as heterozygosity. Twenty-three SSRs produced a total of 251 alleles. The dendrogram generated with un-weighted neighbour joining cluster analysis grouped genotypes into three main clusters with various degrees of sub-clustering within the clusters. The model-based STRUCTURE analysis using 23 SSR markers identified a population with 3 sub-populations which corresponds to distance-based groupings with average F ST value and expected heterozygosity of 0.1497 and 0.6696, respectively, within the sub-population, as such high level of genetic diversity was observed within the population. Further, Core Hunter II was used to identify a core set of 96 diverse genotypes. This core set of diverse 96 genotypes is a potential resource for association mapping studies and can be used by breeders as a material to make desirable genetic crosses to generate elite varieties for the fulfilling global market needs. These findings have further implications in common bean breeding as well as conservation programs.