Journal of Experimental Botany, Vol. 52, No. 357, pp. 655-662,
April 15, 2001
© 2001 Oxford University Press
Review Article |
Improving quantitative flowering models through a better understanding of the phases of photoperiod sensitivity
1 Horticulture Research International, Wellesbourne, Warwick CV35 9EF, UK
2 Department of Horticulture, School of Plant Sciences, The University of Reading, Reading, Berkshire RG6 6AS, UK
Received 10 April 2000; Accepted 20 October 2000
| Abstract |
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A quantitative understanding of the phases of sensitivity to photo-thermal environment is important if the accuracy of flowering models is to be improved and if the timing of long and short day treatments in protected cropping is to be optimized. A simple method of quantifying the duration of the phases of sensitivity to photoperiod is through the use of reciprocal transfer experiments where plants are transferred between long and short days at regular intervals throughout development. The advantages and disadvantages of different analytical approaches used to analyse such data sets are examined. Inconsistencies between the approaches are highlighted, as are differences in the way authors have interpreted data. The problem of confounding the effects of photoperiod and light integral is considered, as is the need to separate the number of inductive cycles needed for flower commitment from the length of the juvenile phase. The effects of photo-thermal environment on the duration of these phases of photoperiod sensitivity are discussed, together with topics requiring further development.
Key words: Reciprocal transfer, photoperiod, flowering, juvenility, modelling.
| Introduction |
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Studies of flowering have traditionally been aimed at either understanding the underlying physiological process of flowering (Bernier et al., 1981
In terms of commercial floriculture, it is often desirable to lengthen natural daylengths by applying photoperiodic lighting treatments to long day plants (LDP) to minimize the duration to flowering. However, if such treatments are confined to phases of sensitivity to photoperiod this can enable flowering to be hastened, while reducing the cost of lighting and the loss of plant quality through lengthening of internodes (this occurs because tungsten lamps are often used for daylength extension). Similarly, the unnecessary use of blackouts to shorten natural daylengths in short day plants (SDP) during periods when flowering is insensitive to photoperiod, would reduce the light integral available to plants and might be detrimental to plant growth and quality attributes. However, an understanding of when plants are sensitive to photoperiod is essential if the timing of photoperiod treatments is to be optimized. While experiments to understand the phases of photoperiod sensitivity have been predominantly conducted on arable crops, the information is perhaps more valuable for protected crops where there is greater potential to manipulate the growing environment.
Assessing the phases of sensitivity to photoperiod can be done simply through the use of reciprocal transfer experiments where the flowering response of plants transferred from long to short photoperiods and vice versa at intervals during development is noted. The simplicity of these experiments enables their use on a wide range of species with comparative ease, including on very small seedlings and in species where grafting studies are impractical. However, grafting juvenile and mature apices onto mature trees can provide an indication as to whether the transition from juvenile to adult is controlled by the autonomous nature of the meristem or a signal reaching the meristem from the rest of the plant (Robinson and Wareing, 1969
). This review aims to show the importance of considering the phases of photoperiod sensitivity and highlights how reciprocal transfer experiments can be used to quantify these phases.
| The flowering process |
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The flowering process can be divided into a sequence of phases. Seedlings are often incapable of flowering; they must first attain a given size or age before they can be induced to flower. This early phase of development has been termed the juvenile phase (Thomas and Vince-Prue, 1997
Once capable of being induced to flower, an inductive process can occur in the leaf (O'Neill, 1992
) which results in a floral stimulus that acts to determine the fate of the meristem (McDaniel et al., 1992
). To distinguish between changes taking place at the apex and the photoperiod induction occurring in the leaves, the term evocation was proposed to describe the events occurring in the apex which lead to floral initiation (Evans, 1969
). For many species, a point in time is reached when the fate of a meristem becomes irreversible. This was described as flower commitment (Bernier, 1988
) although some caution needs to be exercised in describing the point at which the fate of an apex becomes truly irreversible, as it is often a function of the severity of the treatment used for assessing it. Furthermore, some species never become irreversibly committed to flowering and can be made to revert from floral to vegetative growth (Battey and Lyndon, 1990
). In other cases a single inductive cycle may be sufficient for flower commitment (e.g. Oryza sativa cv. Zuiho; Vince-Prue, 1975
), although in chrysanthemum seven or eight consecutive SD may be needed to initiate flowers at the same leaf number as in plants grown in continuous SD (Cockshull, 1972
). It has been shown that in Lolium temulentum L. commitment to floral differentiation occurs within a few hours of the estimated beginning of the arrival of the LD stimulus at the shoot apex and that evocation and floral determination occur well before any morphological changes appear (McDaniel et al., 1991
). Furthermore, it has also been shown that wild-type Arabidopsis (a LDP) became committed to flower after 7 LD but took a further 23 d before the first floral meristems appeared in SEM studies (Bradley et al., 1997
).
The mechanisms for photoperiod perception in SDP and LDP differ (Thomas and Vince-Prue, 1997
). The responses of LDP are strongly influenced by light intensity, unlike those for SDP, and so to be effective night break treatments need to be much longer. There is evidence to suggest that phytochrome A is important in sensing daylength in LDP, and that there may be an interaction between phytochrome C and daylength sensitivity in SDP (Jackson and Thomas, 1997
). While the underlying mechanisms in SDP and LDP differ, most quantitative models can be modified to predict flowering in both LDP and SDP.
Photoperiod has also been shown to affect the early phases of flower development. Some early work (Langton, 1977
) showed that the buds of some early flowering chrysanthemums could reach anthesis in LD, but that the use of SD hastened flower development and it was also shown that 28 SD were needed before chrysanthemums could be exposed to LD without any further delay in time to anthesis (Ben-Jaacov and Langhans, 1969
). However, after this time plants were effectively insensitive to photoperiod, especially if lateral buds were removed. Similarly, many other species have been shown to be insensitive to photoperiod during the final phase of flower development (Roberts et al., 1988
; Collinson et al., 1993
; Ellis et al., 1997
; Wang et al., 1997
a; Adams et al., 1998
). However, the fact that the first flower has reached the point at which its development will proceed independently of photoperiod does not mean that the rate of development of subsequent flowers is similarly photoperiod-insensitive. Indeed it has been shown that the photoperiod sensitivity in soyabean continued after first flowering, but ended before the appearance of the last flower (Asumadu et al., 1998
). Furthermore, other developmental processes may remain photoperiod sensitive. In peanut, while the time to first flower appearance was not greatly affected by photoperiod (Bagnall and King, 1991
a), flower, peg and pod numbers were increased in short days (Bagnall and King, 1991
b). For soybean, it was shown that photoperiod regulates not only flower induction, but also flower differentiation, pod lengthening, seed filling, and the partitioning of assimilates to seed (Morandi et al., 1988
).
| Quantifying the phases of photoperiod sensitivity |
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The length of the phases of photoperiod sensitivity can be quantified by reciprocal transfer experiments, where plants are simply transferred at regular intervals between environments that are inductive and non-inductive for flowering (Wang et al., 1997
The durations of the phases of photoperiod sensitivity can be determined by examining data on the time to first flower opening of plants transferred between SD and LD at different times. Thus for example, SD will not delay flowering in a LDP if exposure is restricted to the photoperiod-insensitive juvenile phase or photoperiod-insensitive phase of flower development. However, exposure to SD during the photoperiod-sensitive phase would delay flowering (Fig. 1
). Similarly, LD will only hasten flowering in a LDP if exposure takes place when plants are photoperiod-sensitive.
|
Reciprocal transfer experiments have been conducted on a number of photoperiod-sensitive plants to assess the phases of sensitivity to photoperiod (Kiniry et al., 1983
For plants that develop a terminal flower or inflorescence, the leaf number below the flower can be used to provide additional information about the timing of developmental events. When plants are transferred from inductive to non-inductive conditions, the first time at which transferring plants subsequently results in a dramatic decrease in leaf number coincides with the time at which the meristem becomes committed to flowering (Bradley et al., 1997
; Adams et al., 1998
). The length of the juvenile phase can be determined by transferring plants from non-inductive to inductive conditions for flowering. Plants transferred during the juvenile phase will all have the same leaf number while plants transferred after the end of this phase will have an increasing leaf number due to delayed floral initiation (Cockshull, 1985
; Adams et al., 1998
).
The length of the phases of photoperiod sensitivity were originally determined graphically (Boyle and Stimart, 1983
; Roberts et al., 1986
; Patterson, 1995
), although other studies have used regression analysis of partial data sets to estimate the length of the various phases of photoperiod sensitivity (Wilkerson et al., 1989
; Wang et al., 1997
a, b
). To aid the analysis of complex data sets produced by transfer experiments, an holistic approach was presented (Fig. 1
) where all data were combined and then analysed simultaneously in order to estimate the durations of the pre-inductive, inductive and post-inductive phases (Ellis et al., 1992
). This analytical approach has subsequently been used (Collinson et al., 1992
, 1993
; Ellis et al., 1997
; Yin et al., 1997
; Bertero et al., 1999
) to examine the phases of photoperiod sensitivity in rice (Oryza sativa L.), soya bean (Glycine max L.), sorghum (Sorghum bicolor L.), rice (Oryza sativa L.), and quinoa (Chenopodium quinoa Willd.), respectively. There is an obvious advantage of using an holistic analytical approach such as that presented by Ellis et al. where data from both transfers (LD to SD and SD to LD) can be combined in one analysis (Ellis et al., 1992
). Furthermore, such an approach enables estimates of the error of the predictions of these phases to be determined.
| Quantifying flower commitment |
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The analytical approach presented by Ellis et al. assumes that at the end of the photoperiod-insensitive, pre-inductive (juvenile) phase an immediate change in time to flowering will be seen in plants transferred from both inductive to non-inductive and non-inductive to inductive conditions for flowering (Ellis et al., 1992
|
Thus, it is clear that at least four developmental phases need to be distinguished in reciprocal transfer experiments: (1) photoperiod-insensitive juvenile phase; (2) photoperiod-sensitive inductive phase, ending at flower commitment; (3) photoperiod-sensitive flower development phase, and (4) a photoperiod-insensitive flower development phase. However, these phases relate to the response of a given meristem and not the capability of plants to perceive photoperiod.
| Confounding of effects of light integral and photoperiod |
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All too often, photoperiod treatments between which plants are transferred are imposed by either the use of high intensity (photosynthetically active) day extension lighting, or a combination of natural LD and blackouts to give SD (Heide, 1963
The confounding between photoperiod and light integral may offer an explanation for the surprising results presented earlier for opium poppy (Wang et al., 1998
). Plants were transferred from a 9 h d-1 photoperiod to either a 12, 14 or 16 h d-1 photoperiod and vice versa. The analysis showed the presence of a photoperiod-insensitive juvenile phase, but this was estimated to end after 7 d at 12 h d-1, 4 d at 14 h d-1 and 3 d at 16 h d-1, leading them to conclude that the length of this phase was affected by photoperiod. However, the photosynthetic photon flux density (PPFD) was maintained at 1100±100 µmol m-2 s-1 and so plants grown under a 12 h d-1 photoperiod received 47.5 mol m-2 d-1 compared with 63.4 mol m-2 d-1 at 16 h d-1. Consequently, the variation in the length of the juvenile phase may have been caused by the difference in the light integral, not photoperiod per se.
| The effect of light integral and temperature on the phases of photoperiod sensitivity |
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Very few studies have investigated the wider effects of the photo-thermal environment on the duration of the phases of photoperiod sensitivity, although such information is of fundamental importance in understanding the environmental regulation of flowering. Antirrhinum plants were shown to become sensitive to photoperiod after 22 d, but the late flowering cultivar Orchid Rocket appeared to respond to LD photoperiodic stimuli only when the light intensity was maintained at a high level (Hedley, 1974
317 µmol m-2 s-1) rather than low (
73 µmol m-2 s-1) PPFD. A more recent study (Adams et al., 1999
The length of the final phase of flower development in petunia, when plants were again insensitive to photoperiod, was controlled primarily by temperature. Plants were relatively insensitive to light integral at this time, and the optimum temperature for this phase was higher than that for the juvenile phase of development (Adams et al., 1999
). The effects of two temperature regimes on the phases of photoperiod sensitivity were investigated in four rice cultivars (Collinson et al., 1992
). They found that the photoperiod-insensitive juvenile and flower development phases were shorter at 28.7 °C than at 23.8 °C, although the effect of temperature on the photoperiod-sensitive phases for flowering was cultivar-dependent. However, it was suggested that, in sorghum, only the photoperiod-insensitive juvenile phase was sensitive to temperature (Ellis et al., 1997
). In contrast, it was found that, for opium poppy, the photoperiod-insensitive juvenile and photoperiod-sensitive induction phases were insensitive to temperature (Wang et al., 1997
b). The photoperiod-sensitive flower developmental phase was most sensitive to temperature, whilst the effect of temperature on the duration of the photoperiod-insensitive flower development phase was slight. Therefore, at this stage, it can only be concluded that species vary in their sensitivity to environmental variables at different phases of flower development.
| Future developments |
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Although the role of certain genes and growth substances in the flowering process is becoming clearer (Coupland, 1997
Although errors may be incurred when using flowering models that assume plants are equally sensitive to photo-thermal environment throughout development, in some situations their simplicity may be advantageous. However, these simple models cannot provide growers of protected crops with information for optimizing the timing of photoperiod treatments. A more physiologically-based quantitative model of flowering is needed if growers are to be able to predict not only the time of first flowering, but also the sensitivity of plants to the photo-thermal environment at any given time. The analytical approach described previously (Ellis et al., 1992
; Adams et al., 1999
) provides information on the phases of sensitivity to photo-thermal environment during the flowering process, which could provide the basis for such a model. However, these analytical approaches assume plants are equally sensitive to photoperiod during flower induction and the early phases of flower development; further development would be needed to enable the analyses of reciprocal transfer data from plants with differing photoperiod responses, particularly those with dual photoperiod requirements. Further work is needed before the effects of the photo-thermal environment on the individual phases of the flowering process can be fully modelled; a considerable amount of data would be needed to do this.
Many flowering models intrinsically assume independence of developmental phases, such that the rate of progress to first flowering is simply a function of instantaneous photo-thermal environment. However, it has been suggested that since development is a progression of response to the environment, there must be historic as well as current effects of the environment on current development (Slafer and Rawson, 1994
). These authors subsequently showed that the duration from terminal spikelet appearance (TSA) to anthesis in spring wheat was affected (although not significantly so) by the photoperiod to which plants were exposed prior to TSA (Slafer and Rawson, 1995
). Similarly, it was shown in barley that exposing plants to LD between sowing and the double ridge stage hastened progress from the double ridge to awn primordia stage (Kernich et al., 1996
). It was suggested that the memorized response was interactive with the response of the plant to the current photoperiod, rather than additive. Therefore, further studies are needed to test the independence of developmental phases.
An additional factor that could be incorporated into flowering models is plant variability. A stochastic flowering model would enable an estimate to be made of the proportion of plants in a particular developmental phase at any time. This would have great commercial benefit when scheduling crop production and predicting when, for example, a night break treatment should be given for maximum benefit. Furthermore, for maximum commercial benefit, it would also be advantageous to develop flowering models that predict the development of not only the first flower, but also of subsequent flowers.
| Appendix |
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Analytical approach (Adams et al., 1999
The model presented earlier (Adams et al., 1999
For LDP, Fig. 2
shows that in continuous LD the number of days from emergence to first flowering (f) is determined by the durations (d) of the phases of photoperiod-sensitivity:
|
| (1) |
This will also apply if plants are transferred from SD to LD before the end of the juvenile phase (a1), i.e. the day of transfer (tc) from SD to LD
a1, or if plants are transferred from LD to SD during the photoperiod-insensitive flower development phase (a3), i.e. tc
a1+PI+Pd. Similarly, for LDP growing in continuous SD:
|
| (2) |
a1+PI, or if plants are transferred from SD to LD during the photoperiod-insensitive flower development phase (a3), i.e. tc
a1+IS. By analogy with the approach of Ellis et al. (Ellis et al., 1992
tc
a1+PI+Pd, can be calculated as:
|
| (3) |
tc
a1+IS, the time to first flowering can be calculated as:
|
| (4) |
From these equations, it is possible to quantify the time to first flowering from emergence using the five parameters a1, PI, Pd, IS, and a3 for a LDP. Furthermore, a simple modification (substituting IL for IS and then dividing IS into PI and Pd) would enable the model to describe the phases of flowering in a SDP. These parameters can be fitted using an iterative procedure, although Mead suggests that continuous variables, such as time to flowering, should first be log transformed unless there is a good reason to believe this is not necessary (Mead, 1988
).
| Acknowledgments |
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We wish to thank Dr FA Langton and Dr LR Benjamin for their useful comments and the Ministry of Agriculture, Fisheries and Food for funding this review (HH1318 SPC).
| Notes |
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3 To whom correspondence should be addressed. Fax: +44 1789 470552. E-mail: steven.adams{at}hri.ac.uk
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