INTRODUCTION
⌅Pear (Pyrus communis L.) is the second most prominent temperate fruit in many countries worldwide, and it has a great degree of adaptation to a wide range of climatic situations (Kurt et al., 2022). In 2020, 23.1 million tons of pears were produced globally. Sixteen million tons (69.2%) were produced in China, followed by Italy, America, Argentina, and Türkiye in the fifth position producing 545.569 tons of pears (FAOSTAT, 2022). Rootstocks are important in the fruit production sector since they help producers reach remarkable yield and resistant against biotic and abiotic factors. Many experts now recognize that rootstocks are just as valuable as cultivars. Rootstocks can affect growth, fruiting initiation, yield productivity, fruit quality, biological, physiological and economical qualities as inducers or inhibitors (Sabajeviene et al., 2006). Currently, pear cultivars are grafted on quince (Cydonia oblonga) and pear clone rootstocks (Hancock & Lobos, 2008), which are recommended because they provide precocity, increase fruit quality, facilitation of cultural processes, and reduction of the tree size (Francescatto et al., 2014). Pear clones and seedling rootstocks show stronger growth than quince clone rootstocks (Hancock & Lobos, 2008).
It is well known that plant productivity is influenced by the relationship between leaf area light absorption, light use efficiency, and light dispersion within the canopy for CO2 assimilation, which ultimately determines the amount of fruit yield (Aikman, 1989; Bosa et al., 2016; Proietti et al., 2023). The major leaf pigments, chlorophyll and carotenoids, offer essential insights into the physiological state of plants. Chlorophylls are essentially necessary pigments for converting light energy into chemical energy which can be stored. The amount of photosynthetic pigments in a leaf determines how much solar radiation it can absorb; as a result, chlorophyll concentration can directly affect photosynthetic potential and primary production. For assessing the physiological state of plants during development, senescence, acclimatization and adaptation to various environments and stresses, variations in leaf carotenoids content and their proportion to chlorophyll are frequently used (Sabajeviene et al., 2006; Simkin et al., 2022). Changes in chlorophyll content occur due to nutrient deficiency, especially nitrogen (N) as it is leached from soil quickly. Low concentrations of chlorophyll contents in the leaves, directly curtail photosynthetic potential of the trees (Ghasemi et al., 2011). The leaf chlorophyll content is a good indicator of mutations, photosynthesis activity, biotic and abiotic stress conditions (Naumann et al., 2008), and nutritional composition of plants (Wu et al., 2008). To assess the nutritional status of pear trees, particularly N content in the leaves, the measurement of total chlorophyll is very helpful because there is a strong positive correlation between total chlorophyll and N content of pear leaves. Pear trees require precise nutrient schedules during vegetative growth as well as fruiting periods (Ghasemi et al., 2011).
The aim of this work was to study the effect of rootstocks on the contents of leaf photosynthetic pigments and its relation with some growth and yield characteristics of different pear cultivars. To our knowledge, this is the first work presenting various rootstock effects in combination with some cultivars on the chlorophyll and carotenoid content of pear leaves.
MATERIAL AND METHODS
⌅The research was performed in the Bafra Agriculture Research Station of Ondokuz Mayis University (41° 33’ 50’’ N; 35° 52’ 21’’ E; altitude 20 m) along two years, 2021 and 2022. A hot and humid climate in summer and a cool climate in winter is prominent in the research area, and precipitation mainly occurs in late autumn and early winter. Generally, the annual max, min, and mean temperature are 26.2 °C, 3.3 °C and 14.1 °C respectively (TSMS, 2022). Soil properties of the study area were: 2.73-10% clay, 13.21-20% silt, 6.5-20% sand, pH 7.5, 0.2-0.3 dS m-1 salt, 0.3-0.5% organic matter, 3-6% lime (CaCO3), 0.03-0.06% N, 5-10 ppm P level, and soil depth > 1 m.
Plant material
⌅In this study, ‘Santa Maria’ ‘Williams’, and ‘Deveci’ pear cultivars were grafted on eight different rootstocks in 2018: two semi-dwarf quince clonal rootstocks (BA29, QA) and six pear clonal rootstocks (FOX9, OH×F87 –both semi-dwarf–; FOX11, OH×F333, FAROLD40 –semi-vigorous– and Pyrus communis semi-vigorous seedlings).
In the case of quince rootstocks (BA29 and QA), trees were planted at a distance of 3.5 m × 1.5 m (1910 tree ha-1), while in the case of pear rootstocks at 3.5 m × 3.0 m (952 tree ha-1). Trees were pruned during the research according to the modified leader system. To support the quince saplings, a system of metal poles was established in the blocks where rootstocks were planted, but they were not used for pear rootstocks. Depending on the water requirement, irrigation of the trees was done with pressure compensating drippers at 1.20 m intervals, with two pipes per row on both sides of the trees. Weeds were controlled with a cultivator.
Growth attributes
⌅Based on previous studies (Massai et al., 2008; Akcay et al., 2009), the annual shoot length (cm) was measured in 25 current-year developed shoots from different parts of a tree canopy at the end of the growing season (one month after leaf fall).
To calculate the canopy volume (CV, m3): (i) the canopy width (m) was measured in the east-west direction with a tape measure at the end of the growing season of all trees in each replication; (ii) the canopy height (m) was measured from the first branch to the tip of the canopy at the end of the growing season; (iii) using the formula reported by Ozturk et al. (2022) and Kul et al. (2022), CV was calculated as:
CV = (1/2 canopy width in m)2 * 3.14 * (1/2 canopy height in m)
Yield attributes
⌅Fruit weight (g) was measured using 30 fruits randomly harvested in each replication with 0.01 g sensitive digital balance (CAMRY L-500) as described by Ozturk et al. (2022). Yield per tree (kg tree-1) was obtained by multiplying the total number of fruit per tree by the average fruit weight. Yield per hectare (kg ha-1) was calculated by multiplying yield per tree with the total number of trees per hectare.
Chlorophyll and carotenoid determinations
⌅Pure methanol solvent (99.8%, Sigma-Aldrich) was used for chlorophyll extraction. For chlorophyll contents analysis, leaves were collected from upper, middle and down parts of trees at the fruiting time (in August) from the east side of the tree without considering whether branches were fruiting or not, then all leaves brought to the laboratory for analysis. Measurements were made from 5 healthy mature leaves in each replication. For this purpose, 100 mg of these five leaves were measured and grinded with 10 mL of 99.8% methanol, then concentrations of pigments were detected with a spectrophotometer by taking 1 mL of the prepared solution in the PS cuvettes (Lichtenthaler & Wellburn, 1983; Ghasemi et al., 2011). Finally, we calculated the amount of chl a, chl b, total chl and total carotenoids (all in µg mL-1 of plant extract) the formulas below:
Chl a = 15.65 A666 - 7.34 A653
Chl b = 27.05 A653 - 11.21 A666
Total chl = chl a + chl b
Total carotenoids = (1000 A470 - 2.86 chl a - 129.2 chl b) / 245
Data analysis
⌅The experiment was carried out as a factorial randomized complete block design. There were two factors in the study including rootstocks and cultivars. There were three replications; each replication consisted of 10 trees in the case of quince rootstocks (high-density plantation) or 5 trees in the case of pear rootstocks (low-density plantation). The data, showing the average of two research years, were analyzed with IBM SPSS 21.0 program (SPSS Inc. Chicago, ABD) and mean comparison was made with Duncan multiple comparison test at p<0.05. Pearson correlation coefficient and principal component analysis (PCA) of evaluated characteristics were done with the IBM SPSS and XLSTAT statistical program.