The study, published as an open-access paper in the journal Discover Plants, was led by Al Amin Talukdar and colleagues from Patuakhali Science and Technology University, with collaborator Md. Jamal Hossain of the Bangladesh Institute of Research and Training on Applied Nutrition. The team set out to answer a deceptively simple question: which part of the Chui Jhal vine, treated with which growth regulator, produces the strongest new plants? Traditional propagation of the species relies on stem cuttings, but success rates are slow and erratic, and the use of plant growth regulators in Bangladesh’s Chui Jhal cultivation has remained strikingly limited. That gap, the authors argue, represents a substantial untapped opportunity for a plant that carries both cultural weight and medicinal promise, with traditional applications ranging from asthma and bronchitis to digestive complaints.

To interrogate the question rigorously, the researchers designed a two-factor experiment at the university’s Germplasm Centre in Dumki Upazila, Patuakhali District, within Agro-Ecological Zone 13. Vine material was originally sourced from the Spices Research Sub-centre of the Bangladesh Agricultural Research Institute in Faridpur. The first experimental factor was the position of the cutting on the vine: the base section, roughly twelve months old; the middle section, about eight months old; and the tip section, approximately six months old. The second factor was a battery of ten growth regulator treatments, spanning a control with no regulator, the auxins indole-3-acetic acid and indole-3-butyric acid, and naphthalene acetic acid, each tested at 250 and 500 milligrams per litre, alongside three combinations pairing two regulators at 250 milligrams per litre each.

The cuttings themselves were prepared with careful attention to horticultural detail. Semi-hardwood segments were taken from healthy, disease-free mother vines about six months old, each cutting carrying three to five buds and measuring 20 to 30 centimetres in length with a diameter of 0.8 to 1 centimetre. The work was conducted in July, when ambient temperatures ranged from 26 to 33 degrees Celsius, rainfall averaged around 39 centimetres, and daylight lasted 13 to 14 hours. After being washed in distilled water and air-dried in shade for ten minutes, the lower 2.5 centimetres of each cutting, including the basal node, was immersed in its assigned treatment solution for just fifteen seconds before being planted in polybags filled with a sterilised 1:1 mixture of loamy soil and cow dung compost, steam-treated at approximately 100 degrees Celsius for 30 minutes.

The results, tracked at 30, 45, and 75 days after cutting, reveal a clear hierarchy among vine positions. Base cuttings achieved the highest survival at the first measurement, 79.99 percent, while the middle section led at the later intervals with 76.66 and 73.33 percent at 45 and 75 days respectively. Tip cuttings trailed consistently, falling to just 55.55 percent survival by the final assessment. When growth regulators entered the equation, the picture sharpened dramatically. Indole-3-butyric acid at 500 milligrams per litre, the treatment designated T5, drove survival in base and middle cuttings to a perfect 100 percent at multiple measurement points, with several other treatment combinations, including those involving 250 milligrams per litre of indole-3-acetic acid and 500 milligrams per litre of indole-3-butyric acid, also reaching complete survival. Untreated controls languished at the bottom of the range, dropping as low as 33.33 percent in tip cuttings.

Shoot development told a complementary story. Base cuttings produced the most leaves, rising from 1.90 per cutting at 30 days to 3.56 at 75 days, and generated the longest new shoots, reaching 6.27 centimetres by the final measurement. The 500 milligrams per litre indole-3-butyric acid treatment again proved the most effective leaf-promoting regime, while both 250 and 500 milligrams per litre of the same compound delivered standout shoot elongation. In the interaction analysis, base cuttings treated with 250 milligrams per litre indole-3-butyric acid achieved shoots up to 9.24 centimetres, and the corresponding leaf counts climbed to 5.33 per cutting by 75 days. The authors note that these findings echo earlier work on long pepper, in which auxin treatments stimulated cell division and stem elongation, accounting for greater leaf production and shoot length in treated cuttings.

Root architecture, arguably the most critical determinant of a cutting’s fate, showed its own subtle positional preference. Middle-section cuttings produced the highest root counts, averaging 22.86 roots per cutting by 75 days compared with 22.36 for base cuttings and 21.33 for tips. At the treatment level, 500 milligrams per litre of indole-3-butyric acid again dominated root number, while 250 milligrams per litre of the same compound produced the longest roots. The interaction data were striking: middle cuttings treated with 500 milligrams per litre indole-3-butyric acid yielded up to 39 roots per cutting, while base cuttings with 250 milligrams per litre indole-3-butyric acid extended roots to 9.38 centimetres. Control combinations, by contrast, produced as few as 2 to 3 roots per cutting early in the trial, underscoring the magnitude of the growth regulator effect.

The physiological explanation for the positional differences, the researchers suggest, lies in the internal chemistry of the vine itself. Base and middle sections contain greater carbohydrate reserves, richer nutrient content, more mature tissues, and higher concentrations of endogenous auxins and rooting cofactors, all of which support the initiation and development of adventitious roots. Tip cuttings, composed of younger, actively growing tissue, carry comparatively lower nutrient reserves and a different hormonal balance that limits their rooting response. This framework aligns with a broader body of literature on adventitious rooting, in which the interplay between stored carbohydrates, current photosynthesis, and hormonal signalling determines whether a severed stem segment commits to forming roots. The consistency of the indole-3-butyric acid advantage across survival, leaf production, root number, and root length suggests the compound is effectively supplementing the vine’s own auxin pool at the precise moment of greatest need.

The practical implications extend well beyond the laboratory. The authors conclude that base and middle vine sections treated with 500 milligrams per litre of indole-3-butyric acid represent the most suitable protocol for Chui Jhal propagation and recommend the approach for commercial-scale production and sustainable cultivation in Bangladesh. For farmers in Khulna and beyond, whose harvests currently depend on slow and unpredictable conventional cuttings, a fifteen-second dip in an inexpensive auxin solution could meaningfully compress the timeline from planting to harvestable stems and roots. The team is candid about the study’s limitations, noting that it was conducted at a single location over a single season, and they call for replication across different regions, seasons, and environmental conditions before definitive recommendations can be issued. Even so, the findings mark a significant step toward securing the future of one of South Asia’s most distinctive spices, a vine whose value has always been recognised at the dinner table and may now, at last, be matched in the nursery.

Subject of Research: Vegetative propagation of Piper chaba vine cuttings using plant growth regulators

Article Title: Response of Chui Jhal (Piper chaba) vine cuttings to plant growth regulators

Article References: Talukdar, A. A., Robbani, M., Hossain, M. J., Chowdhury, M. N. U., & Islam, M. S. (2026). Response of Chui Jhal (Piper chaba) vine cuttings to plant growth regulators. Discover Plants, 3(1), Article 430. https://doi.org/10.1007/s44372-026-00906-4

Image Credits: AI Generated

DOI: 10.1007/s44372-026-00906-4

Keywords: Chui Jhal, Piper chaba, plant growth regulators, indole-3-butyric acid, vegetative propagation, vine cuttings, adventitious rooting, auxins, Bangladesh, horticulture, survivability, spice crops

The research, conducted by Kwangrae Jeong of the Agency for Defense Development in Daejeon, Republic of Korea, and Seungkeun Kim of the Department of Aerospace Engineering at Chungnam National University, frames the in-flight replanning task as a time-bounded optimization problem. The mission control variables at the heart of the framework include target assignment, which determines which missile strikes which ship; the impact course, meaning the bearing from which each missile approaches its target; and simultaneous time-on-target, or STOT, offsets, which stagger or synchronize the arrival times of missiles so that they overwhelm defensive systems in a coordinated fashion. Rather than treating these variables independently, the framework optimizes them jointly, recognizing that the choice of approach direction changes the defensive layers a missile must penetrate, while the choice of arrival timing changes how many incoming threats a ship’s combat system must handle at once.

Central to the approach is a probabilistic layered defense survivability model. Instead of assuming that a missile either certainly survives or certainly is destroyed, the model treats each stage of the terminal engagement as a stochastic process, estimating the probability that a missile passes through outer and inner defensive layers and reaches its impact point. Because closed-form solutions to such layered engagement models are generally intractable when realistic geometries, sensor performance, and interceptor behavior are involved, the researchers rely on Monte Carlo–based estimation. In essence, the framework repeatedly simulates engagement outcomes under random draws from the relevant uncertainty distributions and uses the resulting statistics to score any candidate mission plan. This makes survivability a measurable, comparable quantity: for any proposed combination of target assignments, impact courses, and STOT offsets, the framework can produce an estimate of how many missiles are expected to survive to impact and how effective the overall salvo will be.

Solving the resulting optimization problem is where the computational ingenuity of the study becomes apparent. The search space is combinatorial in target assignment, continuous in impact course and timing offsets, and expensive to evaluate because every candidate plan requires Monte Carlo simulation. The authors turn to particle swarm optimization, a bio-inspired algorithm originally introduced by Kennedy and Eberhart, in which a population of candidate solutions, called particles, moves through the search space under the influence of both their own best findings and the swarm’s collective best. PSO is well suited to mixed discrete-continuous problems of this kind, but its convergence depends heavily on how fitness is evaluated. To keep the replanning loop fast enough for operational use, the study introduces a fast–fine fitness evaluation strategy, in which candidate plans are first screened with a computationally cheap, approximate evaluation and only the most promising ones are promoted to a finer, more expensive Monte Carlo assessment. This mirrors established principles in fitness approximation and simulation optimization, where the goal is to spend limited computation where it most improves the solution.

Operational constraints are handled through a repair-based procedure rather than simple rejection. In many real deployments, missiles flying convergent trajectories toward the same target group risk mid-air collision, and plans that ignore this hazard are unusable regardless of how well they score on survivability. Instead of penalizing infeasible candidate plans and hoping the swarm avoids them, the repair procedure modifies infeasible solutions so that inter-missile collision avoidance and other operational constraints are satisfied, effectively nudging every particle back into the feasible region before it is judged. This constraint-handling philosophy draws on work in evolutionary computation showing that repairing solutions often outperforms penalty-based schemes, especially when feasible regions are narrow and constraints are tightly coupled to the decision variables.

The benchmark against which the new framework is measured is telling. The researchers compare their optimized plans with a densest-STOT baseline, a strategy that maximizes the concentration of missiles arriving simultaneously to saturate ship defenses. Saturation attack concepts have a long history in naval warfare analysis, from salvo models of missile combat to route planning studies for cruise missiles, and the densest-STOT approach embodies the intuitive idea that the harder it is for a combat system to engage many targets at once, the more missiles will leak through. The simulation results, however, show that intuitively appealing density is not always optimal. By trading some timing density for better approach geometry and assignment choices, the survivability-based optimizer achieves improved mission effectiveness and improved survivability compared with the baseline, demonstrating that explicitly modeling the probabilistic structure of layered defenses uncovers plans that simple saturation heuristics miss.

The datalink dimension of the study is what elevates it from a planning exercise to a blueprint for dynamic mission control. In a network-centric warfare environment, launch platforms, sensor assets, and the missiles themselves form a tactical network through which targeting updates and threat information flow continuously. Prior work on airborne tactical networks and disruption-tolerant networking has explored how to keep such links robust at the communications edge, and prior guidance research has addressed cooperative salvo attack for multiple missiles. What has been missing, the authors argue, is a methodological bridge that converts networked situational awareness into concrete in-flight replanning decisions under uncertainty. Their framework provides exactly that bridge: when new threat or target information arrives over the datalink, the time-bounded replanning problem can be re-solved, and updated target assignments, impact courses, and STOT offsets can be pushed back to the missiles before their terminal phases begin.

The technical architecture also reflects hard real-time limits. Because replanning must complete within a bounded window of flight time, the fast–fine evaluation strategy and repair procedures are not merely conveniences but necessities. The researchers’ use of Monte Carlo estimation within a simulation-optimization loop follows a well-established line of research on stochastic optimization and reliability estimation, including particle swarm approaches coupled with Monte Carlo simulation for complex network reliability problems. By combining these threads with a realistic layered defense model, the study offers something rarer: an end-to-end pipeline in which engagement statistics, constraint handling, and swarm-based search are tuned to the operational tempo of a missile engagement rather than to an abstract benchmark function.

The implications reach beyond the specific weapon system studied. Weapon–target assignment and firing scheduling problems have been treated extensively in the defense operations research literature, from knowledge-based threat evaluation systems to approximate dynamic programming for interceptor fire control, and increasingly with evolutionary and swarm methods for UAV swarm task assignment in hostile environments. The present framework contributes a distinct perspective by making the attacker’s own survivability, rather than expected damage alone, a first-class objective in a replanning loop that can respond to networked updates. In an era when ship defenses are growing more layered and more automated, the side that can recompute its salvo plan faster and more realistically holds a measurable edge, and the authors position their work as a methodological basis for practical dynamic mission control of ASCMs in exactly these contested, network-centric environments.

For all its military specificity, the study is also a case study in modern optimization practice: a stochastic, expensive-to-evaluate, mixed-integer problem solved by combining swarm intelligence with tiered fitness evaluation and constraint repair, validated against a meaningful operational baseline. Jeong developed the model, performed the simulations, and analyzed the results, while Kim conceived the study concept and critically revised the manuscript, with the research receiving no external funding. As navies invest in both networked offensive weapons and more capable layered defenses, the mathematical race between saturation and survival is accelerating. Work like this suggests that the decisive factor may not be the raw speed or number of missiles, but the quality and timeliness of the probability-weighted reasoning performed onboard and across the network that guides them.

Subject of Research: Probabilistic survivability-based in-flight mission replanning optimization for datalink-enabled anti-ship cruise missiles

Article Title: Probabilistic Survivability-Based Mission Replanning Optimization for the Datalink-Enabled Anti-ship Cruise Missile

Article References: Jeong, K., & Kim, S. (2026). Probabilistic Survivability-Based Mission Replanning Optimization for the Datalink-Enabled Anti-ship Cruise Missile. International Journal of Aeronautical and Space Sciences. https://doi.org/10.1007/s42405-026-01268-7

Image Credits: AI Generated

DOI: 10.1007/s42405-026-01268-7

Keywords: anti-ship cruise missile, mission replanning, particle swarm optimization, Monte Carlo simulation, survivability, layered defense, simultaneous time-on-target, datalink, network-centric warfare, weapon-target assignment, salvo attack, dynamic mission control