High-throughput phenotyping-based evaluation of morpho-physio-biochemical responses of black ginger (Kaempferia parviflora) under different irrigation regimes
摘要
Black ginger (Kaempferia parviflora Wall. ex Baker) is an important medicinal herb from the Zingiberaceae family. However, studies on water management for this crop are limited. The objective of this investigation was to evaluate growth characteristics, rhizome yield, water productivity, and physio-biochemical traits of black ginger under different irrigation regimes using a Red-Green-Blue (RGB) plant morphometrics of high-throughput phenotyping platform. Five irrigation treatments based on different levels of field capacity (FC) were applied: 125% FC (I125), 100% FC (I100), 75% FC (I75), 50% FC (I50), and 25% FC (I25). Restricted irrigation at I50 and I25 led to slow growth and growth retardation, as revealed by plant morphometric parameters. At harvest, rhizome dry weight was the highest under I100, but decreased by 54% and 92% under I50 and I25, respectively, compared with I100. The maximum water productivity (1.43 kg m−3) was observed under I75. Flavonoid yield in the rhizome also declined under I50 and I25 compared with I100. Leaf greenness and photon yield of photosystem II were the highest under I75, reaching 35.78 SPAD units and 0.81, respectively. Conversely, photosynthetic abilities, such as leaf greenness, photon yield of photosystem II, net photosynthetic rate, stomatal conductance, and transpiration rate, were significantly reduced under I25, leading to elevated leaf temperature and crop water stress index. Overall, the results revealed that I75 is an optimal irrigation regime for black ginger, which can be recommended for its field-scale production. The current study was limited by the pot culture using a modified substrate and growing under environmentally controlled greenhouse. The present results, especially the data on water requirements of black ginger, need to be further validated under field conditions with different climatic environments.
Graphical abstract