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Morphological and Physiological Traits in Seedlings’ Populations Obtained from the Hybridization of Promising Genotypes of Quince (Cydonia oblonga Mill.)


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INTRODUCTION

Quince (Cydonia oblonga Mill.) is a domestic species of southwestern Europe and Asia Minor (Rodríguez-Guisado et al. 2009). Iran is one of the most important producers of quince in the world. The growing of a single-cultivar in the quince orchard is common, but there are some economic concerns in a single-cultivar orchard, such as pollination and fruit set problems, as well as decreasing quality and yield (Tatari et al. 2018). In single-cultivar quince orchards dominates self-pollination, resulting in flower and fruitlet abscission, which leads to the severe decline of yields (Tatari et al. 2018). The cultivation of several cultivars in the quince orchards can prevent abscission and increase yield. Until then, no purposeful hybridization between promising genotypes were carried out in Iran. In this study, the results of evaluation of quince hybrids at the vegetative phase are presented, with the aim of searching for useful correlations among them.

MATERIALS AND METHODS
Plant materials

Eight populations of quince, the seeds of which were harvested in 2015, were assessed in 2017 and 2018 at Isfahan Agricultural and Natural Resources Research Center, Iran. The first three populations resulted from open pollinations of ‘Viduja’ and KVD2 and KVD4 genotypes. The remaining populations were the results of the following crosses: ‘Viduja’×KVD4, KVD2בViduja’, KVD2×KVD4, KVD4 × ‘Viduja’ and KVD4 × KVD2. Parent characteristics are listed in Table 1 (Tatari et al. 2018).

Characteristics of parents used for creating new quince populations

ParentsCharacteristics
‘Viduja’ (KVD1)Early flowering, high yield, fruit production on short branches (spore), dwarf, small to medium fruit, sweet and low astringency fruit, favorable edible quality, relative tolerance to fire blight
KVD2Early flowering, high yield, fruit production on short branches (spore), medium to large fruit, relatively good edible quality, longer storage period than ‘Viduja’, more canopy width and tree height than others
KVD4Early flowering, high yield, fruit production on short branches (spore), dwarf, medium to large fruit, sour fruit, high leaf phenol content, higher catalase, and peroxidase activity, chlorophyll content in leaves as well as longer storage period than others

Hybrid seeds of each crossing combination and seeds of open pollination were sown in separate rows in the soil with a sandy loam texture at five centimeter intervals in December to satisfy the chilling requirement. 350 seedlings per population were transferred from the nursery to the main field and planted at intervals of 2 × 2 meters in March 2016. Soil pH was 7.75. Each treatment (population) was represented by 7 replications and 50 seedlings per replication. Irrigation and orchard management were carried out regularly.

Measurement of traits

Some growth characteristics, including seedling height and stem diameter, canopy width, leaf dimensions, annual growth increase, annual shoot diameter, leaf iron and chlorophyll content as well as catalase and peroxidase activities were measured. Seedling diameter was measured at a height of 5 cm from the soil surface. The measurement methods, abbreviations and units of traits are given in Table 2. These traits were evaluated for all seedlings.

Evaluated characteristics of seedlings, units, abbreviations, and methods of evaluation

TraitUnitsAbbreviationMeasurement methodTime of measurement
Leaf lengthcmLLRulerJuly
Leaf widthcmLWRulerJuly
Chlorophyll contentmg·g−1 FWChlCProtocolJuly
Chlorophyll Index-ChlISPADJuly
Leaf iron contentmg·kg−1FeCProtocolJuly
Catalase Activitynmol·min−1·g FW−1CATProtocolJuly
Peroxidase Activitynmol·min−1·g FW−1PODProtocolJuly
Seedling heightcmSHMeterafter leaf abscission
Seedling diametermmSDCaliperafter leaf abscission
Canopy widthcmCWMeterafter leaf abscission
Annual growthcmAGRulerafter leaf abscission
Annual shoot diametermmASDCaliperafter leaf abscission
Angle of the primary shootsdegreeAPSprotractorafter leaf abscission
Internode lengthcmILRulerafter leaf abscission

Leaf samples for analysis were collected in the July 2017 and 2018. The concentration of iron in leaf extract was measured using atomic absorption spectrometry model Shimadzu AA-670, Kyoto, Japan (Walinga 1989). To obtain a total chlorophyll content, the absorbance of the extracts was measured using a spectrophotometer (T80 Double Beam UV/Visible) at 645 and 663 nm. Chlorophyll content was calculated using Arnon's (1949) equations (Hiscox & Israelstam 1979). For guaiacol peroxidase, the oxidation of guaiacol was measured by the increase in absorbance at 470 nm for 1 min, using spectrometry, as given above (Zhang 1992). Activity of catalase was obtained using the method of Aebi (1984), where the decomposition of H2O2 was measured by the decline in absorbance at 240 nm for the 70 s, using spectrometry, as given above.

Data analysis

This research was conducted as a randomized complete block design. Analysis of variance among populations was carried out on average results from two years by SAS software (version 9.1) and the means were compared by the LSD method. Descriptive statistics, the simple correlation between traits (using the Pearson method) and cluster analysis (Ward method based on squared Euclidean distance) were carried out using SPSS (version 15).

RESULTS AND DISCUSSION

The highest coefficient of variation was obtained for peroxidase activity and the lowest for leaf length (Table 3). The high coefficient of variation indicates the high diversity in the trait among seedlings from the same crossing. Traits with a high variation coefficient provide a greater chance of passing that trait to offspring. Plant peroxidases are important as they catalyze the reduction of hydrogen peroxide and scavenge reactive oxygen species (Wu et al. 1999). Also, leaf chlorophyll content showed a high coefficient of variation of 23.9%. High variation in peroxidase activity and leaf chlorophyll content were reported by Petrokas and Stanys (2008) and Mohammadi et al. (2014), respectively. Among the morphological traits, canopy width (23.1%) and leaf length (5.8%) had the highest and the lowest coefficient of variation, respectively (Table 3).

Descriptive statistics for values of assessed features in the quince populations (averages for 2017–2018)

CharacteristicsMinimumMaximumMeanStandard deviationCoefficient variation (%)
Leaf length3.44.13.80.25.8
Leaf width2.43.830.413.5
Chlorophyll content23.92.90.723.9
Chlorophyll Index49.978.656.79.216.1
Leaf iron content112224178.432.518.2
Catalase Activity0.0010.010.0090.00099.3
Peroxidase Activity0.020.070.040.0242.5
Seedling height39.660.0449.45.912.0
Seedling diameter8.811.0610.20.88.3
Canopy width2252.839.79.223.1
Annual growth5.99.57.61.115.0
Annual shoot diameter6.59.37.60.911.9
Angle of the primary shoots4155.551.54.79.09
Internode length1.41.81.60.18.03

Only KVD2 (the highest – 60 cm) and KVD4 × ‘Viduja’ (the lowest – 39.6 cm) seedlings differed significantly in height. All other populations were intermediate (Table 4). The biggest seedling diameter was found in populations from ‘Viduja’ (10.8 cm) and KVD4 (11.1 cm) open pollinations and the lowest in populations from KVD2 × KVD4 and KVD4 × ‘Viduja’ crosses (8.9 and 8.9 cm). Seedlings in population KVD4 × ‘Viduja’ were the lowest with the height and diameter. Both parents of this population were lower than KVD2 genotype and thus their progeny produced lower and thinner shoots.

Values of assessed features in the quince populations (averages for 2017–2018)

PopulationChlCFeCCATPODSHSDCWAG
13.06b167c9.2b17.9d48.7ab10.8a37.8b5.9c
22c171c10a35.7c60.04a10.5ab45.5ab8.4ab
32.3c224a10.2a64.5a45.6ab11.06a39.2b7.5abc
43.04b201ab7.5c25.1d49.5ab10.3ab39.3b7.4abc
53.9a112d10.2a40.5c51.9ab10.7a52.8a9.5a
62.2c178.5bc10.2a53.6b52.8ab8.9b46.5ab8.4ab
73.7ab181bc10a69.3a39.6b8.8b34.8b7.09abc
83.3ab193bc10.2a70.7a45.6ab10.4ab22c6.6bc

Population 1: ‘Viduja’ open pollination

Population 2: KVD2 open pollination

Population 3: KVD4 open pollination

Population 5: KVD2 × ‘Viduja’

Population 6: KVD2 × KVD4

Population 7: KVD4 × ‘Viduja’

Population 8: KVD4 × KVD2

Similar letters in each column indicate no significant difference at the 5% level of LSD test

The biggest annual growth was scored in KVD2 × ‘Viduja’ (9.5 cm) and least in ‘Viduja’ (5.9 cm). Similar dependencies were between these two populations concerning canopy with the exception that the smallest value of this trait was in KVD4 and in KVD2 open populations.

Chlorophyll and Fe contents were negatively correlated (Table 5). The highest Fe content was found in KVD4 open pollinations and significantly lowest in KVD2 × ‘Viduja’, ‘Viduja’ open and KVD2 open populations (Table 4). The highest content of chlorophyll was measured in KVD2 × ‘Viduja’ and significantly lowest in KVD2 × ‘Viduja’ and significantly lowest in KVD2 open and KVD2 × KVD4.

Correlation for values of assessed features in the quince populations (averages for 2017–2018)

ChlISHSDCWAGASDLLLWAPSILFeCCATPODChlC
ChlI1
SH0.769*1
SD0.0190.6691
CW0.0950.3830.6751
AG−0.619−0.385−0.0540.786*1
ASD−0.401−0.1800.2620.6910.6161
LL0.2560.2410.2080.765*−0.2110.4511
LW0.298−0.127−0.634−0.4820.133−0.405−0.0691
APS0.242−0.183−0.2130.174−0.1800.1690.4950.1831
IL0.110.3180.3560.4850.4400.2830.3130.356−0.0241
FeC−0.1720.182−0.008−0.374−0.386−0.469−0.158−0.153−0.430−0.4931
CAT0.1120.168−0.307−0.555−0.482−0.628−0.1320.192−0.179−0.5130.895**1
POD−0.184−0.293−0.606−0.3060.4150.1260.1280.6220.2250.0850.1310.3571
ChlC−0.585−0.768−0.3780.0680.2490.5380.146−0.3550.135−0.454−0.056−0.1600.1621

The range of studied traits is shown in Table 3. The range of iron content in the studied populations was from 112 to 224 mg·kg−1 (the studied seedlings were not fed with iron or micro-elements). The range of Fe contents in the study of Abdollahi and Ahmadi (2017) on different quince genotypes were from 75 to 135 mg·kg−1 fresh weight. The range of leaf chlorophyll content was also high – between 1.9 and 3.9 mg·g−1 of fresh weight. Similar range was reported by Rajabpoor et al. (2014) for wild almond species (1.5 to 3.7 mg·g−1 fresh weight). Iron plays an essential role in chlorophyll biosynthesis and the concentration of active iron is directly correlated with chlorophyll content (Sahin et al. 2017), but in the present study, population KVD2 × ‘Viduja’ showed the highest total chlorophyll and the lowest total iron contents. The total iron content in the leaves is not always a reliable parameter for indicating the chlorophyll content, iron availability, and chlorosis. There are reports that iron is stabilized in the apoplastic space of the cell and is not transmitted to the cytoplasm and organelles. Under these conditions, the leaves may show symptoms of chlorosis, which is called the Iron chlorosis paradox (Sahin et al. 2017), so the active iron has a greater role in determining the actual content of available iron of leaves (Samar et al. 2010).

The level of CAT activity was stable within populations and was about 10 nmol·min−1·g FW−1. Only two populations had lower value of this trait – ‘Viduja’ × KVD4 (7.5) and ‘Viduja’ open (9.2) (Table 4). Both populations had ‘Viduja’ as mother.

Enzymes such as peroxidase, which appear in different isoforms in the cell, scavenge reactive oxygen species. The activity of this enzyme continues throughout the life of plants from germination to the aging stages participating in the control of cellular elongation, defense mechanisms and several other functions (Wu et al. 1999). In three populations, where KVD4 was in maternal position had the highest peroxidase activity (70.7 to 64.5 nmol·min−1·g FW−1). The lowest POD value was in populations where ‘Viduja’ was in the maternal position (17.9 and 25.1 nmol·min−1·g FW−1).

Correlation of traits is used to investigate a logical and meaningful relationship between traits (Table 5). According to the results, the correlation among most traits was not significant and only some traits showed high correlations. Seedling height was positively and significantly correlated with chlorophyll index, canopy width with annual growth and leaf length, and the total iron content in leaves showed a significant positive correlation with catalase activity. Catalase is one of the most important hydrogen peroxide neutralizing enzymes in plants. This enzyme contains iron as a cofactor in its structure and its activity is reduced under iron deficiency. Correlations between this enzyme activity and leaf iron content have also been reported previously (Sun et al. 2007). For some species, a positive linear relationship between the chlorophyll index and total extractable leaf chlorophyll has been determined (Marquard & Tipton 1987), but this relationship was not confirmed in the present study.

The studied populations were classified into four distinct groups at 10 squared Euclidean distance based on the Ward method (Fig. 1). ‘Viduja’ open pollination, ‘Viduja’ × KVD4, KVD2 × ‘Viduja’ and KVD2 × KVD4 populations that one of their parents was ‘Viduja’ or KVD2, were placed in the same group. The same levels of seedling height, seedling diameter, and chlorophyll index, as well as lower total iron content, were characteristic for this group.

Figure 1

Grouping of studied quince populations based on the measured characteristics by Ward method

The progeny of KVD2 and KVD4 open pollination were classified in the second group. The progeny of these populations were similar in values of seedling height and diameter, canopy width, annual growth increase and catalase activity, and showed the lowest leaf chlorophyll content.

KVD4 × ‘Viduja’ and KVD4 × KVD2 populations that had the same female parent were placed into separate groups. In the third group, population KVD4 × ‘Viduja’ was placed. The lowest length and diameter of shoots belonged to the progeny of this population. Population KVD4 × KVD2 was in the fourth group and had the lowest canopy width and highest catalase and peroxidase activity. It seems that the same female parents had not led to similarities between progeny in all populations.

At this moment, it is not possible to predict which of the analyzed at the vegetative stage traits can be markers for the future fruit yield. The observation will be carried out every year up to the stage of full yielding.

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