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31.5
19.5
7.5
(DAYS)
LEAF AGE
54
.P. gondouinii cultivars. All cultivars showed a large reduction in
infection efficiency in 31.5-day-old leaves.
Differences among cultivars in number of days to 50% of
lesions present were highly significant. Comparisons between species
were significant at each leaf age, and were greatest in 3.15-day-old
leaves (Figure 2). The cultivar x leaf age interaction was largely
due to differences among species, rather than differences within
species.
Rate of lesion appearance was significantly slower (p = 0.01)
for E, gyium_cultivars (0.44) than for P. cerasus (0.75) and E.
gondouinii (0.65) cultivars. Differences between P. cerasus and
.3. gondouinii cultivars were not significant. The rate of lesion
appearance decreased linearly with increasing leaf age when averaged
over all cultivars.
Average lesion areas 36 days after inoculation were signifi-
cantly smaller (2 = 0.01) for P, gyigm cultivars (0.22 mmz) compared
to_£. cerasus (1.24 mm2) and E, gondouinii (0.88 mmz) cultivars.
Differences between E. cerasus and P. gondouinii cultivars were also
highly significant. Averaged over all cultivars, log lesion area
increased linearly with increasing leaf age.
Large differences were observed among cultivars in spore
production per lesion at all three dates of sampling (Table 3). The
significantly lower (9 = 0.01) spore production in lesions of P. avigm
cultivars compared to E. cerasus and E, gondouinii cultivars accounted
for much of the difference among cultivars. In addition, spore
55
Figure 2. Relationship of time of lesion appearance to leaf age in
cultivars of three Prunus species inoculated with
Coccomyces hiemalis.
DAYS TO 50 % OF LESIONS
..... .. _. Ivlum .0.
0..
E. cerasus
___ g. ondoulnn
\\“.’
7'5 19.5 31.5
57
production in E. cerasus cultivars was significantly greater than that
in _P. @ndouinii cultivars.
Combined analysis of spores per lesion data over all three
dates of sampling indicated that there were highly significant culti-
var x leaf age and cultivar x date of sampling interactions. In addi-
tion, significant leaf age x date of sampling interactions were
present.
A large portion of the cultivar x leaf age interaction could
again be attributed to significant differences in the linear and non-
linear trends 0f.E:.E!i!fl cultivars compared to P. cerasus and E.
gondouinii cultivars (Figure 3). In addition, comparisons between
.3. cerasus and P. gondouinii indicate that P. gondouinii cultivars
show a linear trend of increasing spores per lesion with increasing
leaf age, whereas 3. cerasus cultivars show little indication of a
linear trend.
0n the basis of the results of experiment 1, numbers of
spores per lesion as a function of leaf age for_P. cerasus 'North
Star' were compared to the mean of the other_P. cerasus cultivars.
Numbers of spores in leaves of North Star were significantly less
than those of the other cultivars at each leaf age. In North Star,
numbers of spores per lesion increased logarithmically with increas-
ing leaf age (4.57 x 102, 1.20 x 103, and 2.09 x 103 for 7.5-, 19.5-
and 31.5-day-old leaves, respectively). However, numbers of spores
were higher in 7.5-day-old leaves (8.91 x 103) than in 19.5-day-old
(4.79 x 103) or 31.5-day-old leaves (7.08 x 103) of the other culti-
VdY‘S .
Figure 3.
58
Relationship of spores per lesion averaged over three
sampling times (9, 18 and 36 days after inoculation)
to leaf age in cultivars of three Prunus species
inoculated with Coccomyces hiemalis.
(LOG)
SPORES PER LESION
59
-
u IIIII £- I'lum
— _P_. cerasus
-—- _P_. mdoulnll
7.5 10.5 31.5
LEAF AGE (DAYS)
60
The triple order interaction of cultivar x leaf age x date of
sampling for spores per lesions was attributed in large part to
between-species comparisons. The general trend was for sporulation
to increase logarithmically between dates of sampling. However,
numbers of spores per lesion were lowest for youngest age leaves
(7.5-day-old) in all three species at 9 days after inoculation while
they were lowest for intermediate age leaves (19.5-day-old) at 18 and
36 days after inoculation. Much of this interaction is explained by
differences in the slopes of the linear regression of log spores per
lesion against log days after inoculation for each species at each
leaf age (Figure 4). Overall, the rate (slope of regression line) of
increase in spores per lesion as a function of days after inoculation
was significantly less (p_= 0.01) for P. avium cultivars than for
.P. cerasus and E. gondouinii cultivars.
Reproductive efficiency (ratio of spores produced to inoculum
applied) differed greatly among the three species at 36 days after
inoculation. The average reproductive efficiency of E. gyium culti-
vars (5.84) was significantly less (0 = 0.01) than that of P. cerasus
and P. gondouinii cultivars. The average reproductive efficiency of
.E- cerasus cultivars (285.23) was significantly greater (9 = 0.01)
than that of P. gondouinii cultivars (142.25). Log reproductive
efficiency averaged over all cultivars decreased linearly (p_= 0.01)
with increasing leaf age; however, the slope of this linear trend
differed among the three species (Figure 5). .P.‘gvigm;cultivars
showed a much greater rate of decrease than B. cerasus and
61
Figure 4. Relationship of spores per lesion to days after
inoculation for three leaf ages in cultivars of three
Prunus species inoculated with Coccomyces hiemalis.
(LOG)
62
A 7.5 day O|d Ie°ves
- .ooi..‘..6‘
5”::...... “
- 6”"
B 19.5 day old leaves
IOOCDIOIUIIOIOUOD
III-ICCCCOQUCOODII.
coo-or.
' /
5”,
l O
1 use... 2. w
.. — g. car—me
-_- 2' Miami—i
J J l
9 ll 36
DAYS AFTER INOCULATION
63
,E-,ggflgggigii cultivars. The trend with P. cerasus and P, gondouinii
cultivars appeared to be nonlinear.
Numbers of spores per lesion were correlated with several
other variables in experiment 2. Highly significant negative corre-
lations were observed between either log time of 50% lesion appear-
ance or log lesions per leaf, and log spores per lesion at 9, 18 and
36 days after inoculation. Highly significant positive correlations
were observed between log lesion area, and log spores per lesion at
each time of evaluation. Multiple regression equations that included
the lesion area, lesions per leaf, time of 50% lesion appearance and
leaf age as independent variables accounted for 33%, 70%, and 86% of
the total variation hispores per lesion at 9, 18, and 36 days after
inoculation, respectively.
Simple correlations with the reported defoliation severity
of 19 of the 20 cultivars in experiment 2 (field resistance ratings
not available for P. avium 'Angela') were highly significant for
each component of resistance except infection efficiency (Table 4).
Correlations with infection severity were not significant for all
components of resistance.
Discussion
Diseases caused by pathogens such as C, hiemalis with more
than one reproductive cycle per season are called Pcompound interest
diseasesf (15). The severity of a compound interest disease is the
cumulative effect of environmental factors, the level of initial
inoculum, genetic factors affecting reproduction of the pathogen
64
Figure 5. Relationship of reproductive efficiency (ratio of spore
production to inoculum applied) to leaf age in cultivars
of three Prunus species inoculated with Coccomyces
hiemalis.
(LOG)
REPRODUCTIVE EFFICIENCY
65
O.
O
O
Q
Q
Q
Q
Q
Q
Q
Q
Q
Q
Q
9
C
O
Q
O
O
O
O
O.
..
O...
O.
O.
Q.
0..
O...
.....
a I 5 I 9 I 5
LEAF AGE (DAYS)
66
TABLE 4.--Correlations of components of resistance with the reported
field resistance of 19 cherry cultivars."
Field resistance parameterw
Component of
resistanceV infection defoliation
severity severity
Infection efficiency .099 n.s.z .313 n.s.
Days to 50% of lesions -.091 n.s. -.704**
Rate of lesion appearance .261 n.s. .789**
Log (lesion area) .359 n.s. .808**
Log (spores per lesion)x .231 n.s. .782**
Log (reproductive efficiency)y .191 n.s. .815**
uCorrelations included each cultivar in experiment 2, except
P, avium 'Angela'.
vMean of four replications over three leaf ages for each cul-
tivar.
wMean of five replications for each cultivar.
xTotal spores per lesion 36 days after inoculation.
y36 days after inoculation.
zn.s., ** = correlation coefficient (r) not significant at
.p = 0.05 or significant at.p = 0.01, respectively.
67
on its host (components of resistance and pathogenicity), and the
ability of the host to endure the presence of the pathogen (tolerance).
Prediction of disease severity for a compound interest disease
requires an understanding of each of these factors and their inter-
relationships.
A model has been developed which predicts infection of
Montmorency sour cherry from measurements of leaf wetness duration and
air temperature (4). The components of resistance measured in this
study should allow incorporation of a host resistance factor into the
model. The model would then predict not only infection, but also the
relative amount of inoculum present at the next infection period. The
effect of changes in host resistance components on disease severity
could be predicted in different simulated environments. These pre-
dictions could then be used to establish the level of resistance (or
component of resistance) needed in a breeding program.
Prediction of leaf spot severity must also account for
changes in resistance due to leaf age (6). The highly significant
cultivar x leaf age interactions in the present study indicate that
the effect of leaf age is.not uniform over all genotypes. Most of
this interaction could be attributed to differences between species
(Figures 1 to 5), but some important differences within species
remained. For example, sporulation in lesions on young leaves of
North Star sour cherry was considerably lower than that in older
leaves, but sporulation was generally highest in youngest leaves of
other sour cherry cultivars. Thus, prediction of relative leaf spot
68
severity among cultivars or species requires that adjustment be made
for changes in relative proportions of leaf age classes during the
growing season (5). Also, the level of resistance of a cultivar
under conditions of vigorous vegetative growth (where leaf emergence
would cease later in the season) may be quite different from that
under a less vigorous condition due to differences in the relative
proportion of leaf age classes.
Identification of components of resistance contributing to
observed differences in field resistance provides a systematic
approach to breeding for partial resistance. The components can be
selected in a breeding program following artificial inoculation under
controlled conditions. However, associations between components must
be considered. For example, a negative correlation was observed
between spore production per lesion and lesion number per inoculated
area in these studies. Selection based solely on fewer spores per
lesion (or smaller lesion size) could lead to indirect selection for
increased infection efficiency. A better selection criterion is
reproductive efficiency, which is the combined effect of the com-
ponents of infection efficiency and spores per lesion. Reduced
reproductive efficiency could be due to reduced infection efficiency
or reduced spore production or both. In addition, reproductive
efficiency in these studies was measured more rapidly than any other
component when a quantitative inoculator (11) was used and spore
production was estimated by absorbance measurements of spore washes.
Improvement in the level of partial resistance in these
cherry species should be possible by selection for components of
69
resistance. Genetic variation was large for each component in
experiment 2, except infection efficiency. Reproductive efficiency
differed 500-fold among the cultivars at 36 days after inoculation
(Table 3). However, the rate of improvement in resistance will be
affected by the number and nature of the genes controlling expression
of the component selected. Initial studies of the inheritance of
components of resistance in juvenile seedlings of P. cerasus and
£5 gondouinii indicate that heritabilities calculated on an indi-
vidual plant basis are quite low (13), suggesting that the rate of
improvement will be slow. This study should be considered only pre-
liminary, though, because there were large differences from experi-
ment to experiment in expression of resistance among progenies. More
work is needed to determine the applicability of this approach to
breeding leaf spot resistant cherries.
10.
11.
LITERATURE CITED
Anonymous. 1976. Field resistance of sour cherry and cherry
varieties to coccomycosis under the conditions of the Crimea
(in Russian). Sadovodstvo 24: 51-61. Abstracted in Rev. Plant
Path. 56: 3634 (1977).
Daugis, M. 1962. Some data on varietal resistance in cherry
to coccomycosis in the conditions of the Latvian S.S.R. (in
Russian). Pages 148-149 in: Brief Summaries of Research Work
on Plant Protection in the Baltic Zone of the U.S.S.R., vol. 4
(1961). Abstracted in Rev. Appl. Mycol. 45: 940x (1966).
Draper, N. R. and H. Smith. 1966. Applied Regression Analysis.
John Wiley & Sons, New York. 407 pp.
Eisensmith, S. P. and A. L. Jones. 1981. A model for detecting
infection periods of Coccomyces hiemalis on sour cherry.
Phytopathology 71: 728-732.
Eisensmith, S. P., A. L. Jones and J. A. Flore. 1980. Predict-
ing leaf emergence of 'Montmorency' sour cherry form degree-day
accumulations. J. Amer. Soc. Hort. Sci. 105: 75-78.
Eisensmith, S. P., T. M. Sjulin, A. L. Jones and C. E. Cress.
1981. Effects of leaf age and inoculum concentration on infec-
tion of Sour cherry by Coccomyces hiemalis. Phytopathology 71;
(in press).
Kan'shina, M. V. and A. I. Astakhov. 1979. The resistance of
sour cherries to cherry leaf spot (in Russian). Zaschita
Rastenii 6: 29. Abstracted in Hort. Abstr. 49: 711 (1979).
Little, T. M. and F. J. Hills. 1978. Agricultural Experimenta-
tion. John Wiley & Sons, New York. 350 pp.
Parlevliet, J. E. 1979. Components of resistance that reduce
the rate of epidemic development. Ann. Rev. Phytopathol. 17:
203-222.
Robinson, R. A. 1969. Disease resistance terminology. Rev.
Appl. Mycol. 48: 593-606.
Schein, R. D. 1964. Design, performance and use of a quantita-
tive inoculator. Phytopathology 54: 509-513.
70
12.
13.
14.
15.
16.
71
Sjulin, T. M. 1981. Field resistance of cherry cultivars and
selections to Coccomyces hiemalis. Chapter I of this disserta-
tion.
Sjulin, T. M. 1981. Inheritance of resistance to Coccomyces
hiemalis in juvenile seedlings of cherry. Chapter II o t is
dissertation.
Timoshenko, S. E. 1977. The resistance of different sweet cherry
cultivars and hybrids to cherry leaf spot (in Russian). Trudy
Stavropol'sk NII S.-Kh. 48: 76-82. Abstracted in Hort. Abstr.
49: 420 (1979).
Van der Plank, J. E. 1963. Plant Diseases: Epidemics and
Control. Academic Press, New York. 349 pp.
Zekovic, P. and D. Vuletic. 1975. A contribution to the knowl-
edge of susceptibility of different sorts of cherries and sour
cherries to Coccomyces hiemalis Higg. in Metohiza (in Hungarian
with English summary): Zastita Bilja 26: 79-83.
CHAPTER III
INHERITANCE OF RESISTANCE TO COCCOMYCES HIEMALIS
IN JUVENILE SEEDLINGS OF CHERRY
72
CHAPTER III
INHERITANCE OF RESISTANCE TO COCCOMYCES HIEMALIS
IN JUVENILE SEEDLINGS OF CHERRY
Abstract
Components of resistance to Coccomyces hiemalis Higg.
of infection efficiency, lesion area, spores per lesion
and reproductive efficiency were studied in an incomplete
diallel of four Prunus cerasus L. cultivars and one P.
(gondouinii Rehd. cultivar. A total of 342 progeny from 14
families plus clonal parent material were inoculated in
a series of three experiments that differed in average
age of plants. All components of resistance differed
among both parents and families. Mean values for each
component differed from experiment to experiment in
both parents and progenies. Experiment by family inter-
actions were present in all components except spores
per lesion. No genetic variation between families was
detected in the first experiment involving the young-
est seedlings. General and specific combining ability
effects were present among families in the second
experiment. Only general combining ability effects
were detected in the third experiment. P, cerasus
73
74
'North Star' had the highest breeding value for reducing
spores per lesion and reproductive efficiency. Overall
broad-sense heritabilities calculated on a single-plant
basis were less than 0.5 for all components except lesion
area in progeny.
Introduction
Cherry leaf spot, caused by Coccomyces hiemalis, is a serious
fungal disease of sour cherry (Prunus cerasus) throughout the world
(3). Yield, vegetative growth, and wood and bud hardiness of sour
cherry are measurably reduced for up to two seasons following severe
defoliation by Q. hiemalis (5,8). 'Montmorency' sour cherry, the
predominant cultivar in the Michigan sour cherry industry (2), is
very susceptible to defoliation by Q. hiemalis (14). Increased resis-
tance to Q. hiemalis is an important objective of the sour cherry
breeding program at Michigan State University.
Previous work (4,9,13,14,17) has demonstrated that variation
for resistance to Q. hiemalis occurs within and among several species
of cultivated cherries. Complete resistance was not observed in most
of these studies. Instead, cultivars of sour cherry, sweet cherry
(E. ayium L.) and duke cherry (P, gondouinii) differed quantitatively
in the levels of partial resistance to Q. hiemalis, In addition,
factors associated with disease development, called components of
resistance, differed among cultivars of these species. Components
of resistance that measured lesion development and sporulation in
infected leaves were the best predictors of resistance in the field
(15).
75
Little information exists on the inheritance of resistance to
.9. hiemalis in cultivated cherries. Enikeyev (6) reported that cer-
tain cultivars of sweet and sour cherry were better parents than others
in breeding cherries resistant to C, hiemalis. Crosses involving
cultivars of the European ground cherry (P. fruticosa Pall.) gave
higher percentages of susceptible seedlings than crosses of E. cerasus
or P. am cultivars.
This research was undertaken to determine the inheritance of
components of resistance to C. hiemalis in progenies of cultivars of
_P. cerasus and P.gondouinii.
Materials and Methods
Plant material. An incomplete diallel of unequal progeny
numbers per cross was constructed in 1980 with 4 cultivars of P.
cerasus ('English Morello', 'Meteor', 'North Star' and 'HTO 405')
and 1 cultivar of P. gondouinii ('Kansas Sweet'). A total of 342
progeny from 14 crosses were used, with each parent represented in 4
to 6 crosses. Seeds from each cross were stratified at 1-4 C for
4-6 months until germination occurred. Germinated seeds were planted
in peat pellets (Jiffy-7, Jiffy Products Ltd., Norway) covered with
perlite in presterilized flats in a greenhouse at 181:6 C. Seedlings
were transplanted at the 1- to 3-1eaf stage in January, 1981, into
sand:peat:per1ite (1:1:1, v/v) in lO-cm diameter clay pots, and
fertilized with 5 g/L solution of 20% N-20% P205-20% K20 fertilizer
(Robert B. Peters, Co., Inc., Allentown, PA 18104) plus 1.3 g per pot
of 19% N-6% P205-12% K20 controlled release fertilizer (Osmocote,
76
Sierra Chemical Co., Milpitas, CA 95035). All seedlings were sprayed
prior to emergence of the inoculated leaf with four weekly applications
of 500 ppm gibberellic acid (Pro-Gibb, Abbott Laboratories, North
Chicago, IL 60064).
Single-shoot trees of each parent cultivar except 'HTO 405'
were grown as previously described (experiment 2 in (15)) hithe same
greenhouse as the seedlings. Parent performance of 'HTO 405',a bud
mutation of E. cerasus 'Montmorency' from Hilltop Orchards and
Nurseries, Inc., Hartford, MI 49057, was estimated with single-shoot
trees of 'Montmorency'. Three trees of each cultivar were included
as controls at each date of inoculation.
Inoculation. Seedlings were inoculated when 2- to 3-months
old in three separate experiments. Progeny from each cross were
divided into three approximately equal-number groups. Group one from
each cross was inoculated on March 11, 1981; group two was inoculated
on March 19, 1981; and group three was inoculated on March 27, 1981.
Previous studies have demonstrated that components of resis-
tance to g, hiemalis in Prunus species are affected by leaf age (15).
Therefore, a single leaf, 7- to l4-days old at the time of inocula-
tion, was inoculated with a modified Schein quantitative inoculator
as previously described (15). All plants were randomized prior to
inoculation. An average of 6360, 2150 and 2870 conidia per leaf were
applied in the March 11, March 19 and March 27 experiment, respec-
tively. Plants were placed into a mist chamber at 18-21 C for 48 hr
after inoculation, and then incubated in a cheesecloth tent in the
greenhouse (15) at 20 i 6 C.
77
Components of resistance. Infection efficiency, lesion area,
spores per lesion and reproductive efficiency were determined 20 days
after inoculation as previously described (15). Spore production
was estimated from the absorbance at 700 nm of spore suspensions (10).
A standard curve of hemacytometer counts of conidia to absorbance
was established for each experiment. Examination of residual pat-
terns and correlation coefficients indicated that spore counts in all
three experiments were best estimated by the linear and cubic terms
of absorbance measurements.
Data analysis. Analysis of variance for each component of
resistance were performed on parent and progeny data from each experi-
ment as well as the combined data for all experiments. Equal numbers
of progeny per experiment was assumed for a given cross in the analy-
sis of the combined progeny data (16, p. 477). Estimates of general
combining ability (GCA) and specific combining ability (SCA) were
made for each component of resistance in individual experiments by
Gilbert's procedure (7) for incomplete diallels with unequal numbers
of progeny per cross.
Broad-sense heritability estimates for each component of
resistance were calculated on an individual-plant basis from the
analysis of variance for parents and progenies in each experiment.
Parent estimates were calculated as follows:
2
_ x2 2 2
BS - Obc/(abc I awc)
h
78
2
be
between-clone component of variance and 63c is the within-clone
where hgs is the broad-sense heritability estimate, 6 is the
component of variance.
Progeny broad-sense heritabilities were calculated using 65c
as an estimate of environmental variance by the following equations:
2_2 2 2 2 2
“as ’ (a p l 6wp)/(6bp + 6up 1 wc)
2
hi)
the within-progeny component of variance. Coefficients of average
where 6 is the between-progeny component of variance and 65p is
progeny number in the expected mean squares were calculated assuming
random effects for samples of unequal sizes (16, p. 289).
Broad-sense heritabilities of the combined data from all
three experiments were corrected for clone by experiment and cross
by experiment interactions. The component of variance due to the
interaction of experiments with clones and experiments with crosses
was included in the denominator of the equations for broad-sense
heritabilities of parents and progenies, respectively.
Results
Cultivars differed significantly in all 4 components of
resistance (Table l). Cultivar by experiment interactions were not
significant, but significant (p = 0.01) experiment to experiment
variation was detected for each component. Although the relative
ranking of cultivars differed from experiment to experiment, the
components of infection efficiency, lesion area and reproductive
efficiency were lowest overall in 'Kansas Sweet'. 'North Star' had
79
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88
Broad-sense heritability estimates for both parents and
progenies varied considerably from experiment to experiment (Table 9).
Overall estimates on a single-plant basis are less than 0.5 for all
components except lesion areas in progenies (h:S = 0.68). Most of
the genetic variance for lesion areas in all three experiments was
attributed to the within-family rather than between-family variance
component.
Discussion
Selection for components of resistance has been suggested as
a means of increasing the level of partial resistance in cultivated
cherries to C. hiemalis (15). Reproductive efficiency, which is the
combined effect of the components of infection efficiency and spore
production, is highly correlated with measurements of field resistance
to defoliation in cherry. Reproductive efficiency can be measured
rapidly by inoculation of individual plants with a quantitative
inoculator and measurement of spore production from absorbance of
spore suspensions. It is estimated that the total time required to
measure leaf age, inoculate, and measure spore production is less than
ten minutes for each plant. Susceptible genotypes, if identified by
such a procedure, could be eliminated early in the breeding cycle,
thus increasing efficiency of land utilization in the breeding pro-
gram.
The adoption of this procedure to screen for partial resis-
tance to Q. hiemalis in cherry depends not only on deve10pment of
methods that rapidly eStimate components of resistance that contribute
89
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