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Research Article

Soft and Dry Phenotypes of Date Palms (Phoenix dactylifera L.): Resources for Selection and Indicators for Adaptation

**Sakina Elshibli¹*, Elshibli Mohamed Elshibli² and Helena Korpelainen**¹

¹Department of Agricultural Sciences, University of Helsinki, Finland

²Department of Applied Statistics, Al Neelain University, Sudan

Submission: February 06, 2017;Published: March 30, 2017

*Corresponding author: Sakina Elshibli, Department of Agricultural Sciences, Viikki Plant Science Centre, P. O. Box 27, FI-00014 University of Helsinki, Finland; Email: sakina.elshibli@helsinki.fi

How to cite this article: Elshibli S, Elshibli ME, Korpelainen H. Phenotypes of Date Palms (Phoenix dactylifera L.): Resources for Selection and Indicatorsfor Adaptation. Agri Res & Tech: Open Access J. 2017; 5(3): 555665. DOI: 10.19080/ARTOAJ.2017.05.555665

Abstract

Soft, dry and intermediate types of date palm fruits have been defined for decades as resources for wide range of fruit qualities specified by chemical composition of dates. Traits of groups of fruit qualities have been reflected in detectable differentiation at morphological as well as genetic levels. In this work we defined sampled groups of cultivars as soft and dry phenotypes and considered testing their growth and photosynthetic CO2 response to water availability. The experiment executed under controlled conditions. Water availability tested at field capacity (FC) from 10% to 100%. Basic statistics, principal component analysis and biochemical gas exchange model were employed to measure different responses. Analysed data revealed differences in response among phenotypes increased with the increase of water shortage especially a noticeable mediated variance in growth traits: the root fresh weight, root/shoot ratio and biomass. An interaction effect of phenotype x water treatments was also detected for root dry weight (p<0.05) and number of pinnae (p<0.01). At 10% FC the photosynthesis of soft types was significantly (p<0.01) higher compared to dry types explained by the differences in the capacity of stomatal conductance (gs) as well as biochemical reaction parameters. We suggest soft and dry types of cultivars to possess functional specific traits with a possible role for phenotype-specific adaptation to different environments. Soft and dry phenotypes as grouping pattern to be further considered for research for selection criteria and indicators for drought adaptation especially when new lands/regions to enter date palm culture.

Keywords: Phoenix dactylifera L; Soft cultivars; Dry cultivars; Water availability; Growth traits; Photosynthesis; Gas exchange

Introduction

Date palm species through its long domestication in history emerged with wide range of diversity. This diversity enriched by locally developed cultivars or races, elite varieties as well as genotypes that structured to geographical regions and different environments [1]. The distribution and performance of different date palm cultivars, as classified into soft and dry types, is considerably affected by the geographic location [2,3]. Clear differences were reported in fruit characters and tree morphology between the two phenotypes [3-5].

The defined criteria of soft and dry types of date palm fruits are strongly presented in date palm production in Sudan. Chemical composition of fruits of wide range of Sudanese cultivars been characterized and reported [6]. Geographic distribution of phenotypes following the gradual changes of environments especially the degree of aridity Generally, the production regions of date fruits in Sudan can be classified as for soft or dry types of dates with transitional locality in between [7]. Reasons for this kind of geographic distribution, among others, include the time of rainy season as related to yield management. However, genetic differentiation reported among soft and dry phenotypes at molecular level. Genetic structuring of plant species may provide evidences for endurance and adaptation to environment as interaction consequence. On the other hand, adaptive traits are traceable through strategic responses to influencing factors. Plant strategies to cope low water availability reflected in a range of traits among which shoot and root growth [8-10] as well as indices that measure photosynthesis [11].

In Elshibli et al. [12] we described in general the effect of water availability to photosynthetic CO2 and growth responses of date palm plants. At cultivar level there were no specific responses observed, however, some interaction effects were detected. In this study, we focused on cultivars as soft and dry phenotypes. We aimed to evaluate shoot and root growth as well as alterations in photosynthetic capacity to water availability and to detect which traits may underlie the differences among these ecologically distinct groups.

Materials and Methods

Plant material and experimental layout

Date palm plants of the half-sibs cultivars Gondaila, Barakawi and Bitamoda considered for dry types; seeds initially collected from the Nori Horticultural Orchard in Sudan (18° 32' 45” N; 31° 54’ 15" E;), and Mishrig Wad Laggai (Laggai) and Mishrig Wad Khateeb (Khateeb) considered for soft types; seeds initially collected from a farmer's orchard in Elbaoga in Sudan (18°17' 45” N; 33° 54' 30" E;). Full description of the chemical composition of fruits of each cultivar as related to each phenotype was reported by [6]. Date palm plants raised in green house; growth conditions, watering and soil composition detailed in [12]. Water treatments were subjected to one-year old plants of each cultivar, in a randomized complete block design with two factors consisting of five cultivars (two phenotypes) and four watering regimes: 100%, 50%, 25% and 10% field capacity (FC). Treatments were replicated four times. To compensate for water loss at each treatment and retain different measurements of field capacity, plants were weighed and watered twice a week in the morning. Evaporation from the soil surface was minimized by enclosing the pots in plastic bags at soil level. The experimental treatments lasted for six months, during which the plants were circulated once every 2-3 weeks to avoid errors due to possible differences in the controlled growth conditions.

Gas-exchange measurements

CIRAS2 portable photosynthesis measurement system (PP Systems, Hitchin, Hertfordshire, UK) was employed to carry out gas exchange measurements. Leaf temperature was adjusted to 25 °C. Tungsten Halogen light source was used to provide light intensity of above plant light saturation capacity at 1000|imol m^-2s^-1 CIRAS2 was set to provide five observations for each measurement for each level of external supply of CO₂ (Ci). Photosynthesis parameters were measured from the upper fully expanded leaf of each plant. Sampled leaves within each plant were counted for the same age and similar position. The measurements of A:Ci started at a CO₂ concentration close to 350ppm (part per million) and sustained down to 50ppm through four steps, then back to 350ppm, after which the leaf was allowed to acclimate for five minutes, and then up again to about 1500ppm in four steps. At each step, gas exchange variables were recorded after achieving steady-state conditions (240s for stabilizing and 180s for recording).

The photosynthetic curves plotted in opposition to intercellular CO₂ concentration (A/Ci curves). The A/Ci curves were analysed to estimate the maximum rate of RUBP carboxylation (V ^max) and the maximum rate of electron transport (J_max), which in turn drives RUBP regeneration. Photosynthesis Assistant software (Dundee Scientific, Dundee, Scotland, version 1.2 2007) was used to estimate V^max and ^J from the A-Ci data based on gas exchange biochemicalmodel [13-15].

Statistical analyses

Analysis of variance (ANOVA) computed for growth response to water treatments and as affected by phenotype including interaction effects. ANOVA was also used to analyse the effects of water treatments and external supply of CO₂ (Ca) on photosynthesis and photosynthetic parameters, stomatal conductance (gs) and internal CO₂ (Ci). The photosynthetic parameter Ci was subjected to Logarithmic transformation which enabled computation of analysis of variance and fulfilled the requiremnt of normal distribution of the variable. The Ci/C_a ratios across all water treatments were calculated to determine stomatal limitation index [16]. ANOVA was also used to test the differences in the photosynthetic biochemical parameters (V^max and J^max ) of date palm plants in response to irrigation water, where three replications were considered. Pearson's correlations were also performed for some variables. Principal component analyses (PCA) were conducted on the variance matrices for different responses to treatments. The significance of similarities between individuals of dry and soft types of cultivars for each group of characters was tested by the MannWhitney U test. We have employed SPSS 15.0 (SPSS Inc., Chicago, IL, USA) for all tests for descriptive statistics and data exploration.

Results

Growth traits

Data are expressed as means. Within a character for each phenotype, means with the same letters are not significantly different at p<0.05 (Duncan´s test).

Pearson´s correlation; the mean values are significant at *p<0.01 and **p<0.001.

Ns: Not Significant.

Water treatments resulted in significant changes in plants’ growth components (Table 1). Different patterns of significant responses were observed among soft and dry phenotypes. Soft phenotype showed significant differences in response to water treatments in plant height (p<0.001), root fresh weight (p< 0.05) as well as number of dry leaves (p<0.05). The responses of dry phenotype to water availability were significant at all measured traits, except for root dry weight. The increase in the number of accelerated dry leaves, which is negatively correlated to water availability, was observed earlier for soft phenotypes at 25% FC and 10% FC while delayed to 10% FC in dry phenotype's treatments. Dry phenotype responses were stronger than those of soft phenotype, as indicated by the level of significance as well as the stronger correlation relationships to changes in water availability (Table 1). An interaction effect of phenotype and water treatment was also detected, although with a different pattern, where differences were observed for root dry weight (p<0.05) and number of pinnae (p0.01; Table 2).

Photosynthesis and gas exchange

Compared to water treatment of 100% FC, the extent of V_max reduction in 10% FC equalled 37% and 39% in soft and dry phenotypes, respectively. Alteration of the two Vmax (Figure 3) and J_max parameters (Figure 3) resulted in slight gradual increase of the J_max/V_max ratio following reduced water supply from 100% to 25% (Figure 3); while significant (p<0.01) differentiation in responses among phenotypes observed at water treatment of 10% FC.

Principal components analyses

Patterns of similarity between individuals for growth responses (plant height, number of green and dry leaves, number of leaflets, root/shoot ratio and total biomass) revealed by two principal components. Two components were found to explain 73% (PC1 54.7%; PC2 18.7%) of the diversity of tested material. Number of green leaves (0.93), number of leaflets (0.85) and total biomass (0.80) constituted the highest load on PC1, which explained 67% of the total variance. Root/shoot ratio (0.67; 59%) and plant height (-0.53) constituted the highest load on PC2, which explained 84% of the total variance. Based on the first two principal components (Figure 4 shows a distinguishable grouping pattern of cultivars belonging to the soft and dry phenotype for all treatments: 100% FC (Z=-2.593, p=0.008; (Figure 4), 50% FC (Z=-2.828, p=0.003; (Figure4) , 25% FC (Z=-3.182, p=0.000; Figure 4) and 10% FC (Z=-3.182, p=0.000; (Figure 4).

Considering photosynthesis, gs, Ci and Ca, two factors were found to explain 92% (57.9%; 33.8%) of variation. Photosynthesis (0.94) and Ci (0.92) retained the highest load on PC1, which explained 50% and 49% of the total variance, respectively, and gs (0.99) constituted the highest load on PC2, which explained 97% of the total variance. Based on the first two principal components (Figure 5 )shows a distinguishable pattern of cultivars belonging to the soft and dry phenotypes for water treatments of 25% FC (Z = -6.639, p=0.000; (Figure 5) and 10% FC (Z=-6.709, p=0.000; (Figure5).

Discussion

Soft types tend to maximize their water uptake from soil by a slight increase in the root/shoot ratio at 50% FC apparent from a significant increase in root dry weight and a slight decrease in shoot dry weight (Table 1). An increase in root to shoot ratio, attributable mainly to a reduction in shoot growth, has often been observed when water is limiting, when resource allocation to roots on the expense of shoots takes place [10,17]. The decrease in total biomass (Table 1) under stress of 10% FC resulted from the direct slowing down of the whole growth and optimization of nutrient utilization [8], indicated by the decreased number of green leaves, induced, by early senescence of older leaves [9], and the reduction in the number of photosynthesizing pinnae. The response of the tested phenotypes to water availability and their interaction showed different patterns. It was apparent that soft phenotypes are taller and have fewer numbers of pinnae (Table 1), but higher stomatal conductance (Figure 1). The more pronounced physiological adjustments that led to differentiation between soft and dry phenotypes included the ability of soft phenotype to fix more CO2 in the photosynthetic supply function (10% FC; (Figure 2), confirmed by the differences in the J_max/V_max ratio (Figure 3) and resulting in a significant differences in photosynthesis (Figure 1).

The adjustments in different morphological traits were difficult to follow on an individual basis. We tried to resolve this observed complex pattern of responses in each group of date palms by applying the Principal Component Analysis (PCA). The PCA results confirmed the trend of responses observed when using basic statistical analyses as well as the traits of the A/Ci curve. Apparent dry and soft phenotype-specific responses were observed even at high levels of water supply when growth traits considered (Figure 4). Comparable results have been observed also in our previous study [6], when we assessed differences in growth traits of mother trees as well as compositional traits of fruits in a range of cultivars. Same trends among phenotypes detected when physiological traits (photosynthsis, gs and J_max/V_max ratio) considered, yet enhanced by higher decrease in water supply (Figure 4 & 5). In line with these results [18] observed in Populus cathayana that drought inhibits photosynthetic capacity more in female genotypes than in male genotypes. Genotype-specific responses to water stress have been observed also in a range of other plant species [9,19-21].

Conclusion

The results obtained in this study emphasize the existence of considerable phenotype-specific responses of date palms to water availability. In line with current results and the previously reported genetic differentiation among soft and dry phenotypes of date palm we conclude that being soft or dry phenotype is supported by genetic drivers and represent adaptation move to different environments. These genetic resources have rich bases for adaptation and selection criteria to be considered especially for biodiversity enrichment and when new lands/regions to enter date palm culture.