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Evaluation of the growth, drought tolerance and biochemical compositions of introduced red currant cultivars and Russian breeding genotypes in temperate continental climate


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Figure 1

Disease scores of S. mors-uvae (A) and P. ribis (B) on the test genotypes in optimum and drought seasons. Averages of overall seasons that were compared for genotypes and different letters over the green columns were used to represent significant differences among the genotypes according to Tukey's test. Independent samples t-test was used to compare optimum and drought seasons separately for each genotype, *Represents significant difference and ns means non-significant.
Disease scores of S. mors-uvae (A) and P. ribis (B) on the test genotypes in optimum and drought seasons. Averages of overall seasons that were compared for genotypes and different letters over the green columns were used to represent significant differences among the genotypes according to Tukey's test. Independent samples t-test was used to compare optimum and drought seasons separately for each genotype, *Represents significant difference and ns means non-significant.

Figure 2

Berry weight (A), yield (B), raceme length (C) and the number of berries in a raceme (D) of test genotypes in optimum and drought seasons. Averages of overall seasons that were compared for genotypes and different letters over the green columns were used to represent significant differences among the genotypes according to Tukey's test. Independent samples t-test was used to compare optimum and drought seasons separately for each genotype, *Represents significant difference and ns means non-significant.
Berry weight (A), yield (B), raceme length (C) and the number of berries in a raceme (D) of test genotypes in optimum and drought seasons. Averages of overall seasons that were compared for genotypes and different letters over the green columns were used to represent significant differences among the genotypes according to Tukey's test. Independent samples t-test was used to compare optimum and drought seasons separately for each genotype, *Represents significant difference and ns means non-significant.

Figure 3

Soluble solid concentration (A), titratable acidity (B), ascorbic acid content (C) and total phenolic content (D) of test genotypes in optimum and drought seasons. Averages of overall seasons that were compared for genotypes and different letters over the green columns were used to represent significant differences among the genotypes according to Tukey's test. Independent samples t-test was used to compare optimum and drought seasons separately for each genotype, *Represents significant difference and ns means non-significant.
Soluble solid concentration (A), titratable acidity (B), ascorbic acid content (C) and total phenolic content (D) of test genotypes in optimum and drought seasons. Averages of overall seasons that were compared for genotypes and different letters over the green columns were used to represent significant differences among the genotypes according to Tukey's test. Independent samples t-test was used to compare optimum and drought seasons separately for each genotype, *Represents significant difference and ns means non-significant.

Figure 4

Correlation among selected traits (A), PCA – biplot with loadings (B), factor map (C) and hierarchical cluster (D) analysis of red currant genotypes.(1) ‘Jonkheer van Tets’; (2) ‘Hollandische Rote’; (3) ‘Viksne’; (4) ‘Shchedraya’; (5) ‘Natali’; (6) 129-21-61; (7) 111-19-81; (8) 261-65-19 and (9) 271-58-24. PCA, principal component analysis.
Correlation among selected traits (A), PCA – biplot with loadings (B), factor map (C) and hierarchical cluster (D) analysis of red currant genotypes.(1) ‘Jonkheer van Tets’; (2) ‘Hollandische Rote’; (3) ‘Viksne’; (4) ‘Shchedraya’; (5) ‘Natali’; (6) 129-21-61; (7) 111-19-81; (8) 261-65-19 and (9) 271-58-24. PCA, principal component analysis.

Figure 5

Correlation among selected water regime traits in soil and plant leaves of red currant plants in May (A), July (B), drought season (C) and optimum season (D). ASM.0–200, absolute soil moisture (%) at 0–200 mm; ASM.200–400, absolute soil moisture (%) at 200–400 mm; BW.in.L, bound water in leaves (%); Coef., coefficient of bound/free water (%); FW.in.L, free water in leaves (%); SM.0–200, soil moisture (%) in 0–200 mm; SM.200–400, soil moisture (%) in 200–400 mm; Transp., transpiration (mg · m−2 · h−1); WC.in.L, water content (%).
Correlation among selected water regime traits in soil and plant leaves of red currant plants in May (A), July (B), drought season (C) and optimum season (D). ASM.0–200, absolute soil moisture (%) at 0–200 mm; ASM.200–400, absolute soil moisture (%) at 200–400 mm; BW.in.L, bound water in leaves (%); Coef., coefficient of bound/free water (%); FW.in.L, free water in leaves (%); SM.0–200, soil moisture (%) in 0–200 mm; SM.200–400, soil moisture (%) in 200–400 mm; Transp., transpiration (mg · m−2 · h−1); WC.in.L, water content (%).

Figure 6

Comparison of the water content of leaves in May and July (A), optimum and drought seasons in May (B) and optimum and drought seasons in July (C); and comparison of transpiration of genotypes in May and July (D), optimum and drought seasons in May (E) and optimum and drought seasons in July (F). Averages of overall seasons that were compared for genotypes and different letters over the columns were used to represent significant differences among the genotypes according to Tukey's test. Independent samples t-test was used to compare May and July or optimum and drought seasons separately for each genotype, *Represents significant difference and ns means non-significant.
Comparison of the water content of leaves in May and July (A), optimum and drought seasons in May (B) and optimum and drought seasons in July (C); and comparison of transpiration of genotypes in May and July (D), optimum and drought seasons in May (E) and optimum and drought seasons in July (F). Averages of overall seasons that were compared for genotypes and different letters over the columns were used to represent significant differences among the genotypes according to Tukey's test. Independent samples t-test was used to compare May and July or optimum and drought seasons separately for each genotype, *Represents significant difference and ns means non-significant.

Some climatic characteristics of the experimental site.

Year Average monthly air temperature (°C) Humidity (mm) Maximum soil temperature (°C)

May July May July May July
2014 16 19.1 37.1 20 46.6 53
2015 19.5 20.8 44.2 79.1 56 46
2016 17.7 21.2 47.2 66.5 34.5 31
2017 16.3 22.2 56.3 85.5 38.5 41
2018 17.7 21.2 31.4 120 42 29
Long-term average 13 18.5 36.3 88.8 N/A N/A

Introduced and Russian red currant genotypes of the present study.

Genotype Origin

Genetic Geographic
Jonkheer van Tets Faya Plodorodnaya × London Market The Netherlands
Natali Ribes vulgare × R. rubrum × Ribes petraeum Russia
Hollandische Rote R. rubrum × Ribes petraeum The Netherlands
Viksne Ribes warscewiczii Jancz. Latvia
Shchedraya Faya Plodorodnaya × Houghton Castle Russia
129-21-61 Jonkheer van Tets × Hollandische Rote Russia
261-65-19 Jonkheer van Tets × Ribes atropurpureum Russia
111-19-81 Jonkheer van Tets - free pollination Russia
271-58-24 Jonkheer van Tets × Ribes meyeri Russia

Disease scores followed for the observation of Sphaerotheca mors-uvae and Pseudopeziza ribis.

Disease score Sphaerotheca mors-uvae Pseudopeziza ribis
0 No infection (healthy plant) No infection (healthy plant)
1.0 Very weak disease damage (up to 10% of leaves and up to 1% of berries are affected) Very weak damage (up to 5% leaves are affected)
2.0 Weak plant disease (up to ¼ of the shrub shoots, up to 25% of leaves and up to 3% of berries are affected) Weak plant damage (up to 10% of the leaves are damaged)
3.0 Average plant disease (up to ⅓ of the shrub shoots, 26–50% of the leaves and up to 10% of the berries are affected) Average plant damage (up to 30% of leaves are damaged)
4.0 Severe plant disease (⅓ to ¼ of the shrub shoots, 51–70% of the leaves and up to 20% of the berries are affected) Severe plant damage (up to 50% of the leaves are damaged)
5.0 Very severe disease (more than ½ of the shrub shoots, more than 70% of the leaves and more than 20% of the berries are affected) Very severe damage (more than 50% of the leaves are damaged)

Biometric indicators of productivity components.

Genotypes Raceme length Number of berries in a raceme Berry weight

Short (5.1–8.0) Medium (8.1–10.0) Long (10.1–12.0) Little (7–10) Average (11–14) Large (15–20) Small (0.3–0.45) Medium (0.46–0.65) Large (0.66–0.85)
Jonkheer van Tets + + +
Natali + + +
Hollandische Rote + + +
Viksne + + +
Shchedraya + + +
129-21-61 + + +
261-65-19 + + +
111-19-81 + + +
271-58-24 + + +

Hydrothermal coefficient of the experimental site during the study period.

Period 2014 2015 2016 2017 2018
May 0.27 0.81 1.21 1.11 0.62
July 0.34 0.98 1.05 1.25 0.94
eISSN:
2083-5965
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Inglés
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2 veces al año
Temas de la revista:
Life Sciences, Plant Science, Zoology, Ecology, other