Investigation of stem anatomy in relation to hydraulic conductance, vegetative growth and yielding potential of ‘Summit’ cherry trees grafted on different rootstock candidates
Catégorie d'article: Original Article
Publié en ligne: 02 sept. 2021
Pages: 248 - 264
Reçu: 08 juin 2021
Accepté: 29 juil. 2021
DOI: https://doi.org/10.2478/fhort-2021-0019
Mots clés
© 2021 Tijana Narandžić et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Growing demand for healthy, pesticide-free fruits, on the one side, and inevitable climate change, on the other side, impose the need for intensive, continuous research in the field of rootstock/cultivar selection. To the present day, the significance of adequate rootstock selection for the fruit plantation has been addressed in several research papers (Beckman and Lang, 2002; Webster, 2002b; Nimbolkar et al., 2016; Hrotkó and Rozpara, 2017). Identification of genetic material and understanding of plant properties responsible for the fruit production improvement, as well as the proper selection of rootstock that reduce vegetative growth and increase carbon allocation to reproduction, are considered of great importance (Peschiutta et al., 2013). Rootstocks enrich the cultivar with numerous traits, such as good anchorage, good radial and axial hydraulic conductivity, water use efficiency, soil's pest and disease resistance, improved tolerance to drought and high soil salinity (Gainza et al., 2015a; Ljubojević et al., 2018). In these efforts, new generations of lowvigour-inducing rootstocks, which are being constantly improved through various breeding programmes, represent the key factor. Along with the vigour control, reasons for dwarfing rootstocks utilisation are found in their capability to favourably affect fruit precociousness and productivity rate, despite the need for crop loads to leaf area balancing (Lang, 2000, Whiting et al., 2005). Although the wide range of rootstocks is proven to be size-controlling, the exact mechanism of such control is still unresolved. During the last decades, several studies were conducted to explain how rootstocks affect scion growth and cropping in fruit species (Atkinson and Else, 2001; Webster, 2002a; Gjamovski and Kiprijanovski, 2011; Marra et al., 2013; Tworkoski and Fazio, 2016; Yahmed et al., 2016; Bujdosó et al., 2019).
The capacity to transport water throughout a plant can be determined by calculating its hydraulic conductivity, which was proved to be related to the overall tree growth potential (Solari et al., 2006b). In their study on peach trees, Solari et al. (2006a) have found that water status influenced vegetative growth of scions on different rootstocks by directly affecting shoot growth potential and had a significant effect on leaf conductance regulation of gas exchange related to the shoot carbon gain. Tombesi et al. (2010, 2011) concluded that phenotypic differences in xylem anatomical traits, such as dimensions and density of vessels in shoots, trunks and roots of peach trees influence hydraulic conductance capacity. A similar observation was made in the case of sweet cherry trees (Olmstead et al., 2006a; Gonçalves et al., 2007; Zorić et al., 2012) implying that parameters such as vessel frequency (VF), vessel lumen area (VLA), percentage of vessels on wood cross-section and xylem/phloem thickness ratio might be used in the prediction of tree vigour in cherry rootstocks. Jupa et al. (2021) have found larger vessels in rootstock/scion combinations of higher vigour and a positive correlation between mean vessel lumen diameter in roots and annual shoot length, showing that xylem transport efficiency of rootstocks influences the growth vigour of both apple and pear trees. Cohen and Naor (2002) reported differences regarding water use of apple trees on three rootstocks with different degrees of vigour, while significant variations of xylem vessel features in the leaf of apple grafted onto different rootstocks were found by Hayat et al. (2020).
In addition to the rootstock selection, the selection of scion represents an important part of successful fruit production. If the rootstock is chosen for its ability to grow strong, persistent root systems in the particular soil, scions are selected primarily for the quality and quantity of their fruits (Cohen and Naor, 2002). The effect of rootstock selection on sweet cherry yield and fruit quality was investigated through many studies (Santos et al., 2006; Wociór, 2008; López-Ortega et al., 2016; Dziedzic et al., 2017; Pal et al., 2017; Morandi et al., 2019). Concerning the changing climate that seriously affects fruit growth and yields, rootstocks investigation must be focused on vigour-controlling genotypes with high adaptability to soil water limitations, considering specific pedo-climatic conditions of the area (Ljubojević et al., 2017, 2021). Hajagos and Végvári (2013) stressed the growing interest of fruit producers in rootstockscion combinations characterised by high water efficiency, relative to the growing number of water-related problems widespread. The study of various types of plant tolerance mechanisms to unfavourable climate conditions, which occurs at different levels of life organisation (molecule, cell, organ and plant), can provide important information for plant breeding purposes (Monneveux and Belhassen, 1996). Therefore, there is an urgent need for experimental trials in conditions without irrigation and with minimal management practices, for examining intrinsic rootstock influences on grafted tree performance. The University of Novi Sad has a rich collection of sour cherry material, collected from the Balkan Peninsula as one of the most valuable centres of genetic diversity (Barać et al., 2014). The capability of autochthonous cherry germplasm to overcome unpredictable environmental circumstances was tested through the use of local
This study aimed to: (1) determine a variation in the rootstock candidates’ as well as ‘Summit’ variety scion stem anatomical properties concerning the effective crown volume of grafted trees; (2) establish the link between estimated scion crown volume on potentially dwarfing rootstocks and calculated trunk hydraulic conductance; and (3) assess the yielding potential of ‘Summit’ cherry trees in correlation to the effective tree crown volume and hydraulic conductivity.
The trial was carried out in Rimski Šančevi, at the experimental farm of the Faculty of Agriculture, University of Novi Sad, in northern Serbia (45°20′ N and 19°50′ E, altitude 80 m above sea level). The climate of this area is temperate continental, with extremely warm summers and cold winters. During the experimental years 2017–2020, mean annual temperatures were 12.6 °C, 13.2 °C, 13.4 °C and 12.8 °C, with annual precipitation sums of 513 mm, 718 mm, 632 mm and 733 mm, respectively. Seven ungrafted rootstocks were investigated during the 4 years, including five cheery rootstocks belonging to
List of investigated
Accession name | Species, interspecific hybrid |
---|---|
PC_02_01/4 | |
PC_05_04 | |
PF_01_01 | |
PF_02_16 | |
PF_04_09 | |
PM_09_01 | |
Gisela 5 |
One year after orchard establishment, in 2016, an initial anatomical characterisation of rootstocks and scion stems was conducted. Both ungrafted rootstock mother trees, as well as grafted ‘Summit’ trees, were cut back to 10 cm to obtain appropriate cross-sections. Anatomical measurements were performed on seven ungrafted rootstocks and the same seven rootstocks – ‘Summit’ scion combinations. During the winter dormancy period (November 2016), 1-year-old main stems were collected from five replicate plants per rootstock/rootstock-scion combination (five samples per variety). To preserve the structure of plant tissues, samples were fixed in 60% ethanol, with the addition of 10% of glycerin. Before cross-section preparation, plant material was immersed in 50% glacial acetic acid for 1–2 days, to soften stems and facilitate sectioning. Cross-sections were obtained using a hand microtome and examined under a Motic Digital BA310 biological light microscope with a builtin digital camera. Images of cross-sections were taken at 40× and 400× magnifications and measurements were performed using the image analysing system Motic Images Plus 2.0; Motic China Group Co., Ltd. Cross-sections were obtained from the third to fifth internode region (approximately the middle) of 1-year-old stems, 1.5–6.5 mm in diameter, as described by Ljubojević et al. (2021). On each stem cross-section, anatomical characteristics were investigated on four radial segments, 90° apart. Anatomical analyses included both total cross-section and secondary wood measurements. Pith radius, secondary wood outer radius, secondary cortex outer radius and periderm outer radius, which is equal to the stem radius, were measured to calculate stem diameter (SD, mm), cross-section area (CSA, mm2), areas and the percentage of the pith (% P), secondary wood (% SW), secondary cortex (% SC) and periderm (% PD), relative to the total CSA. Stem cross-section was considered a regular circle as indicated by Hajagos and Végvári (2013). Secondary wood/secondary cortex ratio (SW/SC ratio) was calculated for all investigated stems, by dividing the secondary wood area (SWA) with the area of the secondary cortex. At higher magnification, 1–2 visual fields were selected for measurement on each radial segment, depending on the stem thickness. The number and lumen areas of all vessels captured in the field of vision were measured, to calculate average VLA (μm2) and VF (number of vessels per mm2). Total vessel and ray areas, as well as xylem area per each visual field, were measured and calculated and their percentages relative to CSA and SWA were determined. For further hydraulic conductance (
During the 4 consecutive years, trunk cross-section measurements of grafted sweet cherry trees were conducted. Small segments of the trunk were cut out carefully using a wood chisel, 10 cm above the graft union. Each year, samples were taken out from the different radial segments of the trunk, so as not to disturb the tree growth in the following years as a result of harming the plant tissues. Sampling was carried out in the winter dormancy period (December), on five replicate plants per scion-rootstock combination. Obtained trunk segments were preliminarily screened for VLAs and frequency, to ensure the accuracy of the determined vessel size ranges and calculations based on entire stem cross-sections sampled in 2016. Trunk diameter 10 cm above grafting point (mm) and trunk CSA (mm2) were measured and calculated. Knowing those values, trunk SWA (mm2) was calculated by measuring the periderm and secondary wood ring thickness and calculating the secondary wood inner and outer radius.
Based on the initial anatomical characterisation in the first year after tree planting, the theoretical axial hydraulic conductance (
Total trunk theoretical axial hydraulic conductance (
Between 2017 and 2020, the investigated plants of all seven scion-rootstock combinations were measured to estimate the effective tree crown volume (Ve) for each tree. Crown height (cm) and crown diameter (cm) measurements were used in the tree crown volume calculation, according to the formula given by Changok (2007):
In the period 2019–2021, during the flowering time, the total number of flowers per tree was determined. The manual counting was carried out on three plants per scion-rootstock combination and the average number per tree was calculated. The year 2018 was excluded from the analysis, due to the very scarce number of flowers per tree (the very first year of fruit occurrence).
The obtained data were statistically processed by analysis of variance and correlation analysis, using STATISTICA 14 software (Tibco, USA). The significance of differences between mean values was determined using Duncan's multiple range tests with the confidence of
Among the investigated ungrafted rootstocks, significant differences in rootstock stem anatomical properties were observed (Table 2). Regarding SD and CSA, significant variation was found between and within species. Among species, PM_09_01 and the control rootstock ‘Gisela 5’ had the greatest SD, while
Rootstock stem anatomical characteristics for seven investigated candidate genotypes.
Genotype | SD (mm) | CSA (mm2) | % P | % SW | % SC | % PD | SW/SC ratio | % V | % R | % X |
---|---|---|---|---|---|---|---|---|---|---|
PC_02_01/4 | 2.65 d | 5.57 d | 15.78 a | 23.89 e | 51.75 a | 8.58 d | 0.47 e | 3.91 de | 2.45 d | 17.53 d |
PC_05_04 | 2.88 c | 6.57 c | 9.72 c | 37.87 b | 42.83 bc | 9.59 c | 0.90 c | 4.29 cd | 4.09 c | 29.49 a |
PF_01_01 | 2.11 e | 3.50 e | 9.53 c | 27.71 d | 51.20 a | 11.56 ab | 0.55 e | 4.68 c | 2.24 d | 20.79 c |
PF_02_16 | 1.61 f | 2.06 f | 6.39 e | 37.05 b | 44.19 b | 12.37 a | 0.85 c | 4.01 cde | 2.18 d | 30.86 a |
PF_04_09 | 2.12 e | 3.56 e | 11.40 b | 32.03 c | 45.27 b | 11.31 b | 0.71 d | 3.52 e | 2.75 d | 25.76 b |
PM_09_01 | 3.92 a | 12.09 a | 8.93 cd | 44.94 a | 38.44 d | 7.69 e | 1.19 a | 8.52 a | 6.75 a | 29.67 a |
Gisela 5 | 3.12 b | 7.67 b | 7.91 d | 43.77 a | 41.09 c | 7.23 e | 1.08 b | 7.64 b | 5.92 b | 30.21 a |
Mean | 2.63 | 5.86 | 9.95 | 35.32 | 44.97 | 9.76 | 0.82 | 5.22 | 3.77 | 26.33 |
Mean values designated with the same letter were not significantly different according to Duncan's test (
Scion stems of a variety ‘Summit’ grafted on different rootstock candidates showed significant differences regarding examined anatomical features (Table 3). SD varied between trees grafted on rootstock candidates belonging to different species, with higher average values when grafted on
‘Summit’ scion stem anatomical characteristics on different rootstock candidates and ‘Gisela 5’ control rootstock.
Summit/Rootstock candidate | SD (mm) | CSA (mm2) | % P | % SW | % SC | % PD | SW/SC ratio | % V | % R | % X |
---|---|---|---|---|---|---|---|---|---|---|
PC_02_01/4 | 6.28 a | 31.31 a | 16.92 a | 33.58 abc | 44.21 d | 5.30 c | 0.76 ab | 5.47 a | 6.95 bc | 21.15 b |
PC_05_04 | 5.75 bc | 26.16 bc | 14.73 b | 31.05 c | 47.64 bc | 6.58 b | 0.66 c | 4.91 abc | 6.77 bc | 19.37 b |
PF_01_01 | 5.02 d | 19.91 d | 11.15 cd | 32.46 bc | 49.82 a | 6.58 b | 0.66 c | 4.17 c | 7.81 b | 20.48 b |
PF_02_16 | 5.46 c | 23.78 c | 10.42 d | 34.40 ab | 48.87 ab | 6.30 b | 0.71 bc | 4.55 bc | 8.93 a | 20.92 b |
PF_04_09 | 5.90 abc | 27.48 abc | 12.63 c | 36.14 a | 44.68 d | 6.55 b | 0.81 a | 5.49 a | 7.54 b | 23.11 a |
PM_09_01 | 5.87 abc | 27.99 ab | 15.06 b | 32.25 bc | 46.12 cd | 6.57 b | 0.71 bc | 5.17 ab | 6.23 c | 20.84 b |
Gisela 5 | 5.97 ab | 28.24 ab | 11.10 cd | 36.01 a | 45.37 d | 7.52 a | 0.80 a | 4.99 abc | 7.77 b | 23.26 a |
Mean | 5.75 | 26.41 | 13.14 | 33.70 | 46.67 | 6.49 | 0.73 | 4.96 | 7.43 | 21.31 |
Mean values designated with the same letter were not significantly different according to Duncan's test (
Within the secondary wood ring, differences between genotypes were determined, both for the rootstock plants and grafted ‘Summit’ trees (Tables 4 and 5, Figure 1). SWA varied from 0.78 mm2 to 5.42 mm2 in rootstock stems; in scion stems values fell within a range of 6.48–10.66 mm2. Regarding rootstock stem analysis, SWA followed CSA values, resulting in the highest SWA observed in PM_09_01. Rootstock stems of
Secondary wood anatomical properties in rootstock stems.
Genotype | SWA (mm2) | % VSW | % RSW | % XSW | VLA (μm2) | VF (N · mm−2) |
---|---|---|---|---|---|---|
PC_02_01/4 | 1.33 d | 16.26 b | 10.27 c | 73.46 d | 264.65 c | 614.56 b |
PC_05_04 | 2.54 c | 11.68 c | 10.74 c | 77.58 c | 332.20 b | 355.40 d |
PF_01_01 | 0.97 ef | 16.85 b | 8.28 d | 74.87 d | 241.58 c | 708.91 a |
PF_02_16 | 0.78 f | 10.77 c | 5.89 e | 83.34 a | 211.81 d | 520.20 c |
PF_04_09 | 1.15 de | 11.03 c | 8.54 d | 80.43 b | 215.48 d | 511.40 c |
PM_09_01 | 5.42 a | 18.99 a | 15.11 a | 65.90 f | 492.45 a | 387.79 d |
Gisela 5 | 3.39 b | 17.59 ab | 13.55 b | 68.86 e | 334.65 b | 556.68 bc |
Mean | 2.22 | 14.74 | 10.34 | 74.92 | 298.97 | 522.14 |
Mean values designated with the same letter were not significantly different according to Duncan's test (
Secondary wood anatomical properties in scion stems.
Summit/Rootstock candidate | SWA (mm2) | % VSW | % RSW | % XSW | VLA (μm2) | VF (N · mm−2) |
---|---|---|---|---|---|---|
PC_02_01/4 | 10.66 a | 16.18 a | 20.67 cd | 63.15 abc | 368.44 a | 456.36 b |
PC_05_04 | 8.15 bc | 15.71 a | 21.95 bc | 62.34 bc | 390.55 a | 436.23 b |
PF_01_01 | 6.48 c | 12.77 c | 24.17 ab | 63.06 abc | 232.84 c | 545.37 a |
PF_02_16 | 8.30 bc | 13.19 c | 26.00 a | 60.80 c | 248.22 c | 549.14 a |
PF_04_09 | 9.94 ab | 15.17 ab | 20.91 cd | 63.93 abc | 292.43 b | 529.33 a |
PM_09_01 | 9.74 ab | 15.41 ab | 18.86 d | 65.73 a | 370.34 a | 445.66 b |
Gisela 5 | 10.28 ab | 13.92 bc | 21.61 bcd | 64.47 ab | 304.73 b | 471.77 b |
Mean | 9.08 | 14.62 | 22.03 | 63.35 | 315.36 | 490.55 |
Mean values designated with the same letter were not significantly different according to Duncan's test (

Rootstock influence on VLA in rootstock candidates and grafted ‘Summit’ cherry trees: (A) PC_02_01/4 rootstock candidate; (B) ‘Summit’/PC_02_01/4 scion-rootstock combination; (C) PF_02_16 rootstock candidate; (D) ‘Summit’/PF_02_16 scion-rootstock combination. VLA, vessel lumen area.
Concerning investigated scion-rootstock combinations, maximal % VSW was achieved in trees grafted on
Average VLAs in rootstock and scion stems significantly varied between and within species. In rootstocks, VLA was significantly positively correlated with stem CSA (
Portions of vessels per size category are shown in Figure 2. Between rootstock candidates, two patterns of vessel distribution considering categories I and II were observed (Figure 2A). All cherry genotypes had a higher percentage of vessels <300 μm2 in comparison with the percentage of vessels belonging to group II. In

Percentages of vessels per size category in the secondary wood of (A) rootstock stems and (B) scion stems of grafted sweet cherry trees. Mean values designated with the same letter were not significantly different according to Duncan's test (
Among scion stems, portions of vessels with different VLA did not match strictly patterns observed in rootstock candidates (Figure 2B). Concerning vessel affiliation to different size categories in scion stems of trees grafted on
The CSA was significantly negatively correlated with the percentage of vessels under 300 μm2, both in rootstock (
Results showed a statistically significant correlation between Ve,

Diagrams of correlations between: (A) Ve and
Effective tree crown volume and trunk hydraulic conductivity of ‘Summit’ trees in 2017–2020.
Effective tree crown volume (m3) | ||||
---|---|---|---|---|
Rootstock | 2017 | 2018 | 2019 | 2020 |
PC_02_01/4 | 0.47 a | 1.29 a | 2.47 a | 2.97 a |
PC_05_04 | 0.24 b | 0.78 bc | 1.85 ab | 2.41 ab |
PF_01_01 | 0.11 c | 0.39 cd | 0.91 cd | 1.21 cd |
PF_02_16 | 0.05 c | 0.24 d | 0.47 d | 0.86 d |
PF_04_09 | 0.06 c | 0.41 cd | 0.64 d | 1.10 cd |
PM_09_01 | 0.08 c | 0.36 d | 0.84 cd | 1.29 cd |
Gisela 5 | 0.23 b | 1.09 ab | 1.45 bc | 1.97 bc |
Mean | 0.18 | 0.65 | 1.21 | 1.65 |
Trunk hydraulic conductivity (10−4 kg · m· MPa−1 · s−1) | ||||
---|---|---|---|---|
Rootstock | 2017 | 2018 | 2019 | 2020 |
PC_02_01/4 | 10.31 a | 24.21 a | 38.25 a | 51.07 a |
PC_05_04 | 8.82 a | 21.64 a | 33.30 a | 37.90 b |
PF_01_01 | 1.73 c | 3.63 d | 6.90 c | 10.58 d |
PF_02_16 | 1.67 c | 4.88 cd | 7.88 c | 8.59 d |
PF_04_09 | 2.30 c | 5.27 cd | 10.02 c | 15.99 d |
PM_09_01 | 5.17 b | 12.06 b | 22.40 b | 27.97 bc |
Gisela 5 | 4.49 b | 8.66 bc | 13.27 c | 17.97 cd |
Mean | 4.93 | 11.48 | 18.86 | 24.29 |
Mean values designated with the same letter were not significantly different according to Duncan's test (
Trunk calculated hydraulic conductivity varied among grafted trees, with maximal calculated values on
The effective tree crown volumes in the years 2017, 2019 and 2020 were significantly positively correlated with
There were significant differences in the number of flowers per tree determined in trees grafted on differing rootstocks (Figure 4). In 2019,

Yielding potential of seven scion-rootstock combinations in three consecutive years. Mean values designated with the same letter were not significantly different according to Duncan's test (
The results presented above indicate that there is a great variation and significant potential for the selection of size-controlling productive rootstocks. Cross-section anatomical characteristics varied significantly both in rootstock and scion stems, indicating a clear influence of rootstock genotype on grafted sweet cherry trees. Since investigated stems were of the same age, sampled from the same part of the plant and grown in the same environmental setting, SDs are presumed to be strongly genetically dependent as previously noted for eucalyptus (Bartholomé et al., 2020). High heritability and genetic control of anatomical traits and water use efficiency was previously noted by Lauri et al. (2011) as well as Lopez et al. (2017). Lesser variation in CSA was observed in scion stems in comparison with the rootstock stems, indicating that to some extent scion retains its scion-specific cambial activity. Due to secondary thickening in rootstock stems, the production of new xylem elements significantly increased. The same was observed in scion stems. Comparing stem cross-section anatomical characteristics and secondary wood properties of ungrafted and grafted rootstocks, trees have generally shown the absence of statistically significant correlation (Tables S4 and S5 in Supplementary Materials). This is in accordance with the findings of a study by Ljubojević et al. (2013), which suggested that the anatomical mechanism of vigour control is defined by the genetic basis of both rootstock and scion, characterised by their specific features that remain unchanged in the coexistence after grafting.
Previous studies have shown that sweet cherry low-vigorous rootstocks had larger VF but smaller VD than invigorating ones (Olmstead et al., 2006a; Gonçalves et al., 2007). Regarding VLA values in the rootstock stems, the smallest VLA and relatively high number of vessels were found in the cherry rootstock candidates that induce the smallest Ve of ‘Summit’ trees. However, the largest VLA was found in the stems of PM_09_01 rootstock, which did not induce the highest Ve of grafted trees, while in PC_02_01/4, which influenced the highest tree crown growth, relatively small VLA and high VF were found. These results are in accordance with the previously noted strong genetic dependence of investigated cross-section anatomical properties (Ljubojević et al., 2021). In contrast with rootstock stems, VLA and VF in scion stems were strongly negatively correlated, where an increase in VLA led to a decline in VF. For scion stems of trees grafted on
A significantly lower xylem/phloem thickness ratio in stems of dwarfed trees than in invigorating ones was found by Gonçalves et al. (2007). In the present study, observed SW/SC ratio in the rootstock stems had shown a higher portion of secondary cortex on stem cross-section of all
A statistically significant positive correlation of Ve with
Fruit development is strongly influenced by climate changes (Salama et al., 2021; Vanalli et al., 2021). Rising temperatures in this century can induce the earlier beginning of cherry blossom, which increases the vulnerability of buds to spring frosts (Chmielewski et al., 2018). Such climate conditions, complemented with an inadequate schedule of precipitation and high-temperature fluctuations, can severely reduce yields and cause high financial losses to sweet cherry producers. Although a total of fruits harvested represents a real indicator of production efficiency, in some years it cannot be obtained. As the alternative, the number of flowers per tree could be assessed as the preliminary yielding potential in different scion/rootstocks combinations, since the degree of fruit set and yield largely depends on the abundance of flowering (Radović et al., 2020). Trees on dwarfing rootstocks usually produce an increased number and quality of floral buds, which is probably linked to the earlier cessation of shoot extension growth in the summer that redirects trees’ assimilates and nutrients towards the production of floral buds (Webster, 2002b). Our results showed a positive correlation of potential yielding with the estimated Ve and
Scarcity of water resources worldwide and numerous environmental changes lead to a shift in the breeding goals towards both productive and adaptive rootstock selection. It was found that all investigated cherry rootstock candidates belong to the low-vigorous rootstocks based on the estimated Ve of grafted trees in relation to the trees on dwarfing control rootstock ‘Gisela 5’. Trees on