Breeding of Bacopa monnieri (Brahmi): Traditional to Advanced Approaches and Future Outlook
摘要
Bacopa monnieriBacopa monnieri (L.) Pennell, also called BrahmiBrahmi, is a creeper used to enhance memory in humans with reported documentation around 6th Century A.D. The major chemical entity shown responsible for neuropharmacological effects of B. monnieri are BacosidesBacoside. Considering the high demand, B. monnieri breedingBreeding to obtain elite germplasmElite germplasm has become an active area to pursue. The desirable traits in an ideal B. monnieri germplasmGermplasm, both from farmer and consumer viewpoint, include properties like high herbage yield, bigger and colorful flowers and high BacosideBacoside content. Further, B. monnieri germplasmsGermplasm may serve to prevent its genetic erosionGenetic erosion and help in conservationConservation. This chapter focuses on traditional to advanced plant breedingBreeding approaches being used in B. monnieri. The most prominent breedingBreeding method used in plants is selectionSelection of desired germplasmGermplasm from accessions showing morphological variation, geneticGenetic variationGenetic variation and phytochemical variation. GenotypeGenotype X Environment interaction factor governing these variations is also evaluated. The approach by far is the most successful breedingBreeding approach in B. monnieri leading to high quality bred varietiesVarieties like Subodhak, Pragyashakti, CIM Jagriti. This chapter highlights the approaches like hybridizationHybridization, mutationMutation and polyploidyPolyploidy, which can induce variation in the plant in combination with plant tissue culturePlant tissue culture techniques. Agrobacterium based geneticGenetic transformationGenetic transformation technology developed for the plant is also discussed. Further, the chapter stretches out towards future applications of existing cutting edge technologies waiting to be utilized in the plant like data integration through omicsOmics technologies, metabolic engineeringMetabolic engineering, genome editingGenome editing and machine learningMachine learning.