Variation in the growth and development of narcissus in relation to meteorological and related factors

Hanks, Gordon R.

doi:10.1080/14620316.1996.11515432

Cited by 8 publications

(6 citation statements)

References 28 publications

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“…It is essential to specify the level of MPD for the seeds of these species to facilitate their germination by breeders and hybridizers because problems such as unsuccessful cultivation or slow regeneration make it difficult to meet the increasing pharmaceutical demands for these drugs [ 3 ]. In addition, the use of seeds allows the production of “virus-free” plants because most Narcissus viruses are not seed-borne [ 9 ].…”

Section: Discussionmentioning

confidence: 99%

“…Wild plant resources have great potential for supplying raw materials to the pharmaceutical industry but wild subspecies are usually unsuitable for agricultural exploitation because of limitations in terms of their availability or a lack of previous analyses. The limitation due to low resource availability can be minimized by seed collection and sexual reproduction of daffodils, and although little is known about the seed physiology in Narcissus [ 9 ], several studies have been published on this subject in recent years [ 10 , 11 , 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Plant Production by Seed Treatment in Two Wild Subspecies of Narcissus pseudonarcissus Rich in Alkaloids

et al. 2020

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The daffodil Narcissus pseudonarcissus L. contains alkaloids of pharmaceutical interest. Wild daffodil populations have diverse genetic backgrounds and various genetic traits of possible importance. Developing protocols for plant production from seeds may ensure the availability of a large reservoir of individuals as well as being important for species with bulbs that are difficult to acquire. The closely related Narcissus pseudonarcissus subsp. munozii-garmendiae and subsp. nevadensis were investigated in this study because the alkaloids isolated from both are of high pharmacological interest. At the dispersal time, the seeds of both were dormant with underdeveloped embryos, i.e., morphophysiological dormancy (MPD). Experiments were conducted outdoors and under controlled laboratory conditions. Embryo growth and the percentages of radicle and seedling emergence were calculated under different temperature–light stratifications. In N. munozii-garmendiae, embryo growth occurred during warm stratification (28/14 °C or 25/10 °C) and the radicle then emerged when the temperature decreased, but the shoot was dormant. In N. nevadensis, the seeds germinated when cold stratified (5 °C) and then incubated at cool temperatures. Thus, N. munozii-garmendiae and N. nevadensis exhibit different levels of MPD, i.e., deep simple epicotyl and intermediate complex, respectively. Plant production protocols from seeds were established for both taxa in this study.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of Plant Production by Seed Treatment in Two Wild Subspecies of Narcissus pseudonarcissus Rich in Alkaloids

et al. 2020

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“…Finally, as Hanks (1996) already pointed out, it seems clear that a good understanding of the factors involved in the bulb and¯ower production could lead to the modi®cation of cultural practices and the development of precision growing systems.…”

Section: Discussionmentioning

confidence: 91%

Linear programming applied to the flower sector: a Gladiolus bulb production case study

Caixeta-Filho¹,

Swaay-Neto²,

Lopes³

2000

Int Trans Operational Res

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Mathematical modeling structure was developed to support representative Brazilian bulb growing and trading company's decision making process, during the Gladiolus production planning activity. The pertinent LP model was focused on client's bulb requests to be attended and showed interesting results (e.g., profit maximization and suggestions for optimal combinations of types of bulblet and spacing to be planted).

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“…This task shares similarities with seeding and transplanting, but differs from both in one key aspect: a plant bulb has a clear direction of growth that is unknown to the robot 15 . Given the desire to optimize plant height, crop yield, and crop uniformity, plant bulbs should be planted with their growth directions pointed vertically upward [16][17][18] . Positioning the bulb in this orientation reduces the amount of energy the plant has to expend in order to sprout above the ground, resulting in larger, more consistent yields [19][20][21] .…”

Section: A Machine Learning Approach To Growth Direction Finding For mentioning

confidence: 99%

A Machine Learning Approach to Growth Direction Finding for Automated Planting of Bulbous Plants

Booth

Sijbers

Beenhouwer

2020

Sci Rep

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In agricultural robotics, a unique challenge exists in the automated planting of bulbous plants: the estimation of the bulb’s growth direction. To date, no existing work addresses this challenge. Therefore, we propose the first robotic vision framework for the estimation of a plant bulb’s growth direction. The framework takes as input three x-ray images of the bulb and extracts shape, edge, and texture features from each image. These features are then fed into a machine learning regression algorithm in order to predict the 2D projection of the bulb’s growth direction. Using the x-ray system’s geometry, these 2D estimates are then mapped to the 3D world coordinate space, where a filtering on the estimate’s variance is used to determine whether the estimate is reliable. We applied our algorithm on 27,200 x-ray simulations from T. Apeldoorn bulbs on a standard desktop workstation. Results indicate that our machine learning framework is fast enough to meet industry standards (<0.1 seconds per bulb) while providing acceptable accuracy (e.g. error < 30° in 98.40% of cases using an artificial 3-layer neural network). The high success rates of the proposed framework indicate that it is worthwhile to proceed with the development and testing of a physical prototype of a robotic bulb planting system.

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Variation in the growth and development of narcissus in relation to meteorological and related factors

Cited by 8 publications

References 28 publications

Optimization of Plant Production by Seed Treatment in Two Wild Subspecies of Narcissus pseudonarcissus Rich in Alkaloids

Optimization of Plant Production by Seed Treatment in Two Wild Subspecies of Narcissus pseudonarcissus Rich in Alkaloids

Linear programming applied to the flower sector: a Gladiolus bulb production case study

A Machine Learning Approach to Growth Direction Finding for Automated Planting of Bulbous Plants

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