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African Crop Science Journal
African Crop Science Society
ISSN: 1021-9730 EISSN: 2072-6589
Vol. 9, Num. 2, 2001, pp. 431-440
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African Crop Science Journal, Vol. 9. No. 2, pp. 431-440
African Crop Science Journal, Vol. 9. No. 2, pp. 431-440
RESISTANCE OF MAIZE TO THE MAIZE WEEVIL: I. ANTIBIOSIS
J. Derera, K.V. Pixley1 and P. Denash Giga2
Department of Research & Specialist Services, P. O. Box CY550, Causeway, Harare, Zimbabwe 1CIMMYT-Zimbabwe, P. O. Box MP 163, Mt. Pleasant, Harare, Zimbabwe 2University of Zimbabwe, P. O. Box MP 167, Mt. Pleasant, Harare, Zimbabwe
(Received 9 June, 2000; accepted 14 December, 2000)
Code Number: CS01025
INTRODUCTION
Genetic resistance of maize grain to storage insects is an
important component of integrated control for use in rural storage, but progress
towards finding and using such resistance has been limited. Farmers in Zimbabwe
have been demanding maize with good storability (Jayne, T. personal communication,
cited in Blackie, 1994), because most of the available hybrids are susceptible
to maize weevil (Sitophilus zeamais Motsch.)(Giga and Mazarura, 1991).
Pesticides, especially Malathion (O,O-dimethyl-s-1,2-di(carboethoxy) ethyl phosphorodithioate), have for many years been providing effective control of maize weevil in rural areas of Zimbabwe (Giga and Mazarura, 1990). However, continued use of insecticides may lead to breakdown in their effectiveness and is hampered by potential hazard to users and consumers.
Assessment of the intrinsic levels of weevil resistance in
maize grain has shown large variation among maize genotypes from Eastern, Southern
and Western Africa and Latin America (Wright et al., 1989; Giga
and Mazarura, 1991; Kossou et al., 1993; Tadesse et al., 1995).
Inheritance of grain resistance to maize weevil has been reported to involve
maternal effects, additive and non-additive gene action (Widstrom et al.,
1975).
The basis of grain resistance to weevil has been explained
according to Painters (1951) three-fold resistance mechanism as antibiosis,
non-preference and tolerance. Antibiosis resistance is the ability of a host
to injure the pest, reduce reproduction potential, retard rate of development
and or kill the pest (Dent, 1991). Schoonhoven et al. (1975) reported
antibiosis resistance of grain to weevil, while Kang et al. (1995), Schoonhoven
et al. (1976) and Gomez et al. (1982; 1983) have reported non-preference.
Horber (1989) argued that host tolerance was inapplicable or not useful in the
case of stored grain, because grain is dormant and damage incurred is terminal.
Thus, selection of grain for weevil-resistance should focus on antibiosis and
non-preference resistance types. This paper will discuss antibiosis, while a
companion paper focuses on non-preference type of resistance to weevil (see
Derera et al., 2001, this volume).
Recent studies have shown that hydoxycinnamic acids (phenolics)
play an important role in grain resistance to weevil through mechanical and
antibiosis resistance types (Serratos et al., 1987; Classen et al.,
1990; Arnasson et al., 1992, 1997; Sen et al., 1994; ). Classen
et al. (1990), Sen et al. (1994), and Arnasson et al. (1997)
reported that kernel hardness was correlated to phenolics, because phenolic
acids esterified to carbohydrates form dimmers, feruloyl and p-coummaroyl arabinoxylaus,
which result in a mechanical cross-link in the cell wall; hence these dimers
make tissues hard and limit biodegradability of the cellwall polysaccharides
by the insects. Resistant hybrids have higher levels of phenolic acids, which
cause adverse effects to weevil feeding and survival, hence biochemical screening
may be used as a first step towards selection of genotypes for resistance. However,
we are not aware of any published attempts to develop protocols for biochemical
screening of maize for resistance to the maize weevil, despite their apparent
advantages compared to timely and costly conventional methods using live insects
and long evaluation periods in controlled environment rooms.
Most published studies about weevil resistance have evaluated
grain resistance in F1 crosses, yet farmers store F2 grain. We evaluated weevil
resistance of both F1 seed and F2 grain to enable us to study inheritance of
weevil resistance while also obtaining results relevant to farmers. This research
was designed to study the levels of antibiosis effects and the genetic basis
of resistance in F1 and F2 hybrids. A companion paper (Derera et al.,
2001) presents an analysis of non-preference type of resistance to weevil for
the same hybrids. An understanding of the genetic basis and mechanisms of resistance
is essential to develop maize with improved levels of resistance.
MATERIALS AND METHODS
Formation of hybrids. The maize hybrids used in this
study were derived from 18 inbred lines, 6 of each from southern Africa, Mexico
and CIMMYT-Zimbabwe, respectively (Table 1). The lines from Mexico were reported
to be resistant to maize weevils at CIMMYT-Mexico (D. Bergvinson, personal communication),
while resistance of southern African and CIMMYT-Zimbabwe lines had not been
previously evaluated. Two subgroups of 3 lines were formed within each
group, and crosses were made according to a North Carolina design II mating
scheme with six sets (Comstock and Robinson, 1952). The lines of the same heterotic
orientation were assigned to the same subgroup, such that crosses were formed
between lines with different heterotic orientation. Sets, consisting of 9 hybrids
each, were formed among subgroups of lines (Table 1): resistant x regional (subgroup
1 x 3), resistant x resistant, (2 x 1), regional x regional (3 x 4), CIMMYT
x resistant (6 x 2), regional x CIMMYT (4 x 5) and CIMMYT x CIMMYT (5 x 6).
The sets were balanced, meaning that each line was used once as male (3 hybrids)
and once as female (3 hybrids) in different sets; lines used as females are
always listed first, and males second (e.g. Set 1 x 3 used lines 1, 2 and 3
as females for lines 7, 8 and 9 as males). The single crosses from the Design
II mating, plus reference entries, including commercial hybrid SR52 were grown
at Harare during summer of 1996/97. Plant to plant, full-sib pollination within
each plot was conducted to form F2 grain for each hybrid. Pollination for two
hybrids in the regional x regional set failed to produce seed; hence 52 of the
possible 54 hybrids were screened for maize weevil resistance.
TABLE 1. Pedigree, origin, and relative index
of susceptibility to weevil for 18 inbred maize lines and four reference
entries, and groups and sub-groups of the lines used to form hybrids in
a North Carolina Design II mating |
Group |
Sub-group |
Inbred line |
Pedigree |
Origin |
Relative index of susceptibility |
Resistance category |
CIMMYT- Mexico (Resistant) |
1 |
1 |
Rattray Arnold 8149 1-6-2-1-1-b-B |
C-Mex |
5.4 |
MR# |
2 |
Ratray Arnold 8149 1-7-1-1-1-b-B |
C-Mex |
6.7 |
MR |
3 |
Pool 23QPM 5-9-5-2-1-b-B |
C-Mex |
7.5 |
S |
2 |
4 |
Poza Rica 8121 7-12-1-1-1-b-B |
C-Mex |
8.5 |
S |
5 |
Poza Rica 8121 7-2-5-1-1-b-B |
C-Mex |
5.5 |
MR |
6 |
Muneng 8128 14-11-2-1-1-b-B |
C-Mex |
5.9 |
MR |
Southern Africa (Regional) |
3 |
7 |
M162W |
RSA |
7.4 |
S |
8 |
SC (Malawi 95A) |
Mal/Zim |
7.6 |
S |
9 |
NAW5867 |
RSA |
8.0 |
S |
4 |
10 |
M37W-X-X-6-X |
RSA |
7.6 |
S |
11 |
N3 (Malawi 95A) |
Mal/Zim |
9.7 |
S |
12 |
I137TN-X-X-1-X |
RSA |
8.4 |
S |
CIMMYT- Zimbabwe (CIMMYT) |
5 |
13 |
CML202 |
C-Zim |
7.8 |
S |
14 |
CML216 |
C-Zim |
6.7 |
MR |
15 |
FR810/TZMSRW-5-2-1-X-1-B |
C-Zim |
6.7 |
MR |
6 |
16 |
CML206 |
C-Zim |
8.7 |
S |
17 |
[M37W/ZM6073#bF37sr-2-3sr-6-2X]-8-2-X-1-B |
C-Zim |
4.5 |
MR |
18 |
[MSRXPOOL9]C1F2-176-4-1-4-X-X-B |
C-Zim |
8.5 |
S |
Reference Entries |
|
|
Kayile (local, open-pollinated) |
Zimbabwe |
9.9 |
S |
|
|
Oaxaca 179 (composite resistant check) |
Mexico |
8.8 |
S |
|
|
Popcorn (susceptible check) |
Zimbabwe |
11.4 |
HS |
C-Mex: CIMMYT, Mexico; RSA: Republic of South
Africa; Mal/Zim: Malawi and Zimbabwe; C-Zim: CIMMYT, Zimbabwe
Relative index of susceptibility is the weevil susceptibility relative to
SR52, the susceptible hybrid check# MR: moderately resistant;
S: susceptible; HS: highly susceptible |
Resistance tests. After harvest, all grain samples were
frozen at -20°C for 10 days to kill any insects or eggs that may have been
present on grain due to natural, random insect attack in the field. Grain samples
were then conditioned in a constant temperature and humidity (CTH) room at 28±2°C
and 70±5% relative humidity for 42 days before being subjected to weevil infestation.
The local commercial hybrid SR52 was used as a susceptible control, while Mexican
composite Oaxaca 179 was included as a resistant check. The local open pollinated
variety Kayile, and a local popcorn obtained from the University of Zimbabwe
Farm were also used as standard checks.
After removing damaged kernels, each sample was divided into
four 50 g sub-samples (replications). Each 50g sub-sample was placed in a glass
jar (500 cm3) that was closed with a mesh screen lid. The jars were arranged
in the CTH room as a randomised complete block design having four replications.
Each jar was infested with 32 unsexed weevils, aged 21 to 28 days, from a laboratory
culture. The weevils were removed and the numbers of dead and live insects were
recorded after a 10-day oviposition period in the CTH room. The maize sub-samples
were then incubated in the CTH room. Progeny emergence counts were made every
two days beginning 25 days after the removal of the parent insects and ending
when all progeny (F1) had emerged. Emerged progenies were removed from the jars
at each count.
The total number of progeny that emerged and their mean development
period were derived for each replicate and subjected to an analysis of variance.
Median development period was calculated as the number of days from day-5 of
oviposition to 50% emergence of progeny. An index of susceptibility (Equation
1) was calculated for each hybrid and parent inbred lines according to Dobie
(1977): Equation 1:
Index of susceptibility = 100 x [loge(total
number of F1 adults emerged) / (median development
period)]
A relative index of susceptibility for each genotype was also
calculated as the index of susceptibility expressed as a proportion of the index
of susceptibility for the susceptible check, SR52 (Dobie, 1977) and multiplied
by 10 for convenience (Giga and Mazarura, 1991).
Statistical analyses. A random-effects model was used
for analyses of variance (ANOVA) for adult weevil mortality, number of progeny
emerged, mean development period and index of susceptibility data of inbred
lines and hybrids. Mean square expectations for the sources of variation for
index of susceptibility of hybrids (F1 and F2) were calculated
as described by Hallauer and Miranda (1988). The variation due to entries was
partitioned into sources due to sets and hybrids-within-sets. Further, hybrids-within-sets
was partitioned into variation due to females within sets, males within sets
and female x male interaction within sets. Throughout this paper, variation
due to females within sets, males within sets and males x females within sets
are referred interchangeably as GCAf (general combining ability effects
for females within sets), GCAm, and SCA (specific combining
ability effects for hybrids within sets), respectively (Hallauer and Miranda,
1988). GCA and SCA effects were fixed, while replications-within-sets were considered
random sources of variation.
RESULTS AND DISCUSSION
Grain resistance. Antibiosis resistance, or significant
detrimental effects to the biology of weevil was identified among inbred lines
and hybrids. Significant differences were recorded for adult weevil mortality,
progeny emergence, development period and the index of susceptibility of maize
genotypes (Table 2). In general, hybrids exhibited higher levels of antibiosis
effects in F1 than F2 generation.
TABLE 2. Parent mortality, F1 weevils emerged,
relative index of susceptibility (RI) and rank of RI for F1 and F2 hybrids
from a North Carolina Design II mating among 18 maize lines |
Hybrid |
Set |
Parent mortality (%) |
F1 hybrids |
Rank |
Parent mortality (%) |
F2 hybrids |
Rank* |
F1 weevils (No.) |
Relative index of suscept. |
F2 weevils (No.) |
Relative index of suscept. |
1 x 7 |
Res x Reg |
0.8 |
127 |
10.4 |
42 |
4.7 |
101 |
9.6 |
28 |
1 x 8 |
Res x Reg |
1.0 |
45 |
8.0 |
6 |
4.7 |
105 |
8.9 |
12 |
1x 9 |
Res x Reg |
0.0 |
104 |
10.1 |
35 |
1.6 |
103 |
9.0 |
13 |
2 x 7 |
Res x Reg |
0.0 |
154 |
10.9 |
48 |
8.6 |
79 |
8.4 |
5 |
2 x 8 |
Res x Reg |
7.8 |
69 |
9.0 |
13 |
2.4 |
120 |
9.7 |
32 |
2 x 9 |
Res x Reg |
6.3 |
84 |
9.5 |
24 |
0.8 |
100 |
9.1 |
15 |
3 x 7 |
Res x Reg |
7.8 |
125 |
10.2 |
37 |
2.4 |
167 |
10.4 |
47 |
3 x 8 |
Res x Reg |
0.0 |
79 |
8.6 |
9 |
0.0 |
156 |
10.5 |
49 |
3 x 9 |
Res x Reg |
2.1 |
87 |
9.3 |
18 |
7.0 |
118 |
9.4 |
25 |
4 x 1 |
Res x Res |
0.8 |
68 |
8.5 |
8 |
2.4 |
79 |
8.5 |
6 |
4 x 2 |
Res x Res |
2.3 |
85 |
9.5 |
24 |
7.8 |
79 |
8.5 |
6 |
4 x 3 |
Res x Res |
0.0 |
83 |
9.4 |
21 |
10.9 |
105 |
9.2 |
17 |
5 x 1 |
Res x Res |
88.3 |
2 |
1.32 |
10.9 |
96 |
8.9 |
9 |
|
5 x 2 |
Res x Res |
0.0 |
161 |
11.0 |
49 |
3.9 |
91 |
9.2 |
17 |
5 x 3 |
Res x Res |
89.1 |
1 |
0.3 |
1 |
1.6 |
117 |
10.5 |
49 |
6 x 1 |
Res x Res |
3.9 |
84 |
9.5 |
24 |
16.4 |
51 |
7.9 |
4 |
6 x 2 |
Res x Res |
48.4 |
21 |
5.6 |
4 |
4.7 |
62 |
7.9 |
3 |
6 x 3 |
Res x Res |
9.4 |
79 |
9.0 |
13 |
42.2 |
18 |
4.4 |
1 |
7 x 10 |
Reg x Reg |
5.0 |
129 |
10.6 |
44 |
3.1 |
121 |
9.9 |
37 |
7 x 11 |
Reg x Reg |
5.5 |
121 |
10.6 |
44 |
3.1 |
101 |
9.0 |
13 |
7 x 12 |
Reg x Reg |
24.0 |
118 |
10.3 |
39 |
0.0 |
155 |
10.4 |
46 |
8 x 10 |
Reg x Reg |
40.6 |
32 |
5.1 |
3 |
- |
- |
- |
- |
8 x 11 |
Reg x Reg |
25.0 |
38 |
5.7 |
5 |
1.6 |
131 |
9.7 |
32 |
8 x 12 |
Reg x Reg |
4.2 |
88 |
8.8 |
11 |
3.1 |
140 |
9.8 |
35 |
9 x 10 |
Reg x Reg |
4.7 |
110 |
10.0 |
32 |
13.3 |
81 |
8.7 |
8 |
9 x 11 |
Reg x Reg |
1.6 |
119 |
10.1 |
35 |
9.4 |
140 |
10.1 |
41 |
9 x 12 |
Reg x Reg |
2.1 |
101 |
10.0 |
32 |
- |
- |
- |
- |
10 x 13 |
Reg x CIM |
2.4 |
98 |
9.8 |
30 |
0.8 |
103 |
9.4 |
23 |
10 x 14 |
Reg x CIM |
2.4 |
99 |
9.7 |
28 |
2.4 |
123 |
9.7 |
32 |
10 x 15 |
Reg x CIM |
13.3 |
69 |
9.1 |
16 |
2.4 |
128 |
9.9 |
39 |
11 x 13 |
Reg x CIM |
0.0 |
110 |
10.0 |
32 |
1.6 |
144 |
10.5 |
49 |
11 x 14 |
Reg x CIM |
1.0 |
110 |
8.9 |
12 |
3.1 |
117 |
9.2 |
17 |
11 x 15 |
Reg x CIM |
3.1 |
99 |
9.4 |
21 |
0.0 |
154 |
10.3 |
45 |
12 x 13 |
Reg x CIM |
3.1 |
139 |
10.2 |
38 |
3.9 |
141 |
9.9 |
37 |
12 x 14 |
Reg x CIM |
0.0 |
109 |
9.9 |
31 |
0.8 |
115 |
9.3 |
20 |
12 x 15 |
Reg x CIM |
1.6 |
132 |
10.3 |
39 |
3.1 |
128 |
9.5 |
27 |
13 x 16 |
CIM x CIM |
3.1 |
78 |
9.4 |
19 |
3.1 |
188 |
10.6 |
52 |
13 x 17 |
CIM x CIM |
4.2 |
61 |
8.6 |
9 |
0.8 |
148 |
10.2 |
43 |
13 x 18 |
CIM x CIM |
4.7 |
61 |
8.37 |
1.6 |
116 |
9.6 |
28 |
|
14 x 16 |
CIM x CIM |
1.6 |
128 |
10.3 |
39 |
4.7 |
172 |
10.2 |
43 |
14 x 17 |
CIM x CIM |
0.0 |
151 |
10.5 |
43 |
8.9 |
60 |
7.8 |
2 |
14 x 18 |
CIM x CIM |
3.9 |
89 |
9.2 |
17 |
2.4 |
154 |
10.4 |
47 |
15 x 16 |
CIM x CIM |
0.0 |
169 |
11.7 |
54 |
1.6 |
96 |
9.3 |
20 |
15 x 17 |
CIM x CIM |
3.1 |
167 |
11.4 |
53 |
3.1 |
136 |
10.1 |
41 |
15 x 18 |
CIM x CIM |
6.3 |
163 |
11.3 |
52 |
0.8 |
93 |
8.9 |
9 |
16 x 4 |
CIM x Res |
3.1 |
102 |
9.6 |
27 |
1.6 |
111 |
9.4 |
25 |
16 x 5 |
CIM x Res |
2.4 |
94 |
9.4 |
19 |
0.8 |
124 |
9.8 |
35 |
16 x 6 |
CIM x Res |
0.0 |
136 |
10.6 |
44 |
2.4 |
112 |
9.4 |
23 |
17 x 4 |
CIM x Res |
2.4 |
150 |
11.0 |
49 |
1.6 |
130 |
9.6 |
31 |
17 x 5 |
CIM x Res |
0.8 |
133 |
10.6 |
44 |
0.0 |
110 |
9.3 |
20 |
17 x 6 |
CIM x Res |
1.6 |
152 |
11.2 |
51 |
2.4 |
92 |
8.9 |
9 |
18 x 4 |
CIM x Res |
4.2 |
90 |
9.4 |
21 |
6.3 |
94 |
9.1 |
16 |
18 x 5 |
CIM x Res |
0.0 |
98 |
9.7 |
28 |
2.4 |
117 |
9.6 |
28 |
18 x 6 |
CIM x Res |
4.7 |
74 |
9.0 |
13 |
3.1 |
113 |
9.9 |
39 |
SR52 (Susceptible) |
|
3.1 |
95 |
7.8 |
129 |
|
|
|
|
F (Sig.) |
|
** |
** |
** |
** |
** |
** |
** |
|
Std. Error of a difference |
|
5.5 |
25 |
1.1 |
5.4 |
24 |
0.9 |
|
|
Refer to Table 1 for pedigree and descriptions
for each line
Res=resistant; Reg=regional; CIM=CIMMYT (see Table 1 for details)
Phenotypic correlation coefficient between F1 and F2 for RI = -0.01; rank
correlation coefficient = -0.09 |
Parent weevil mortality was almost always below 10%, but ranged
from 0 to 89% in F1, and from 0 to 42% in F2 hybrids (Table 2). F1 hybrids 5x1,
5x3 and 6x2 had very high adult weevil mortality, suggesting they contained
antibiosis factors, which were lethal to weevil. Progeny (F1) emergence ranged
from 1 to 169 in F1 and from 18 to 188 in F2 hybrids (Table 2). Similar results,
namely, 3 to 143 progeny emerged among 25 maize genotypes, were reported by
Tadesse et al. (1995). Progeny development period ranged from 29 to 44
days in F1, but did not differ among F2 hybrids (mean of 36 days), suggesting
reduced antibiosis effects in F2 generation (data not presented). Gomez et
al. (1982) reported significant differences in number of days to pupation,
ranging from 30 to 38 days among maize genotypes.
Relative index of susceptibility ranged from 0.3 to 11.7 in
F1, and from 4.4 to 10.6 among F2 hybrids (Table 2). These results are not very
different from relative index of susceptibility ranging from 4 to 12 among 217
materials, reported by Dobie (1977), and relative index from 6.5 to 12.1 among
84 materials reported by Giga and Mazarura (1991). The mean relative index of
susceptibility for sets of hybrids ranged from 7.4 to 10.2 for F1, and 8.3 to
9.7 for F2 hybrids (Table 3). The resistant x resistant set of hybrids was significantly
more resistant to weevil than all other sets both for F1 and F2 hybrids; there
were no significant differences for weevil resistance among any of the remaining
five sets of hybrids. This result suggests that significant weevil resistance
was generally obtained only for hybrids with both parent lines being resistant
to weevil.
TABLE 3. Mean index and relative index of susceptibility to
weevils for sets of F1 and F2 maize hybrids for a
North Carolina Design II mating among 18 maize lines |
Hybrid sets |
Index of susceptibility |
Relative index of susceptibility |
F1 |
F2 |
F1 |
F2 |
CIMMYT x CIMMYT |
12.9 (6) |
13.5 (4) |
10.2 (6) |
9.6 (4) |
CIMMYT x Resistant |
12.8 (5) |
13.2 (2) |
10.1 (5) |
9.4 (2) |
Regional x CIMMYT |
12.4 (4) |
13.6 (6) |
9.8 (4) |
9.7 (6) |
Regional x Regional |
11.9 (2) |
13.5 (4) |
9.4 (2) |
9.6 (4) |
Resistant x Regional |
12.2 (3) |
13.2 (2) |
9.6 (3) |
9.4 (2) |
Resistant x Resistant |
9.4 (1) |
11.6 (1) |
7.4 (1) |
8.3 (1) |
Sig. (F) |
** |
** |
- |
- |
Std. err. of a difference 0.4 |
0.3 |
- |
- |
|
Ranks within column are shown in brackets.** Significant
at 1% probability level |
We classified materials with relative index of susceptibility
<4 as resistant, 4.1 to 6 moderately resistant, 6.1 to 8.0 moderately
susceptible, 8.1 to 10.0 susceptible, and >10.1 highly susceptible.
To provide a basis for comparisons across experiments, we defined the relative
index of susceptibility of hybrid SR52 to be 10.0. Hence, genotypes in the susceptible
group were similar to SR52. Four percent of the hybrids were classified resistant
in F1, but none were resistant in F2 (Table 2). A local popcorn variety was
highly susceptible, while the open-pollinated local variety (Kayile) and the
Mexican check (Oaxaca179) were susceptible and similar to SR52 (Table 1). The
parent inbred lines for the North Carolina Design II ranged from moderately
resistant to susceptible. A less conservative classification method might put
all materials that were significantly less susceptible than SR52 in the resistant
category. Presently, there is no agreed method for classifying genotypes for
resistance to weevil. In addition, conclusions are strongly influenced by choice
of susceptible check for use in calculating relative index of susceptibility.
Dobie (1977) recommended the use of the Mexican variety Cacahuacintle as a
reliable susceptible check. We used SR52 as a susceptible check in the current
study, because previous researchers (Giga and Mazarura, 1991; Dobie, 1977) classified
it susceptible, relative to Cacahuacintle.
Genetics of weevil resistance. Genetic analyses were
performed only for the index of susceptibility because it incorporates all resistance
parameters (Equation 1). Variance of general combining ability effects of female
lines (GCAf) was significant for both F1 and F2, while that of GCAm (GCA effects
of male lines) was significant only for F1 hybrids (Table 4). GCA (additive)
and SCA (non-additive) effects were of similar importance in explaining differences
in antibiosis among hybrids. Greater importance of GCAf relative to GCAm, however,
indicated importance of additive maternal effects determining antibiosis type
of resistance to weevil in both F1 and F2 grain, and that differences for additive
effects were contributed primarily by the female parent involved in each hybrid.
These results mean that: 1) SCA effects, which are unpredictable from parent
resistance per se, are important for weevil resistance, and 2) in as
far as hybrid performance is predictable, resistant hybrids are most likely
to be obtained when the more resistant parent is used as the female in producing
the hybrid.
TABLE 4. Mean squares from analysis of variance for Dobie index
of susceptibility to maize weevil for F1 and F2 generations
of hybrids from a North Carolina Design II mating among 18 maize inbred
lines |
Source of Variation |
degrees of freedom |
Mean square |
F1 |
F2 |
Sets(S) |
5 |
54.93** |
19.94** |
Replication/S |
18 |
5.87* |
2.96* |
Hybrids/S |
48 |
19.81** |
6.40** |
GCAf/S |
12 |
34.69** |
10.56** |
GCAm/S |
12 |
9.38** |
1.72 |
SCA/S |
24 |
18.08** |
6.62** |
Error |
144 |
2.90 |
1.73 |
*, ** = Significant at P<0.05 and P<0.01, respectively
|
Other researchers have also reported significant additive,
non-additive and maternal effects determining maize weevil resistance in maize
grain (Schoonhoven et al., 1975; Widstrom et al., 1975 and 1983;
Tipping et al., 1989). Widstrom et al. (1975) found that dominance
effects were important for seed resistance to weevil among sources segregating
for maternal and endosperm genotypes.
Negative GCA and SCA effects indicated good (favourable) combining
ability for grains antibiosis effects. Estimates of combining ability effects
for each line are only relative to the other lines included in the same set
with the line. For example, regional line 8 (SC) showed negative GCA as female
in F1 hybrids for set "Regional x Regional" and as male in F1 hybrids
for set "Resistant x Regional" (Table 5). This result indicates that
line 8 was relatively better than lines 7 and 9 when crossed as female for lines
10, 11 and 12, and as male for lines 1, 2 and 3. Estimates of GCA effects were
generally not consistent from F1 to F2, suggesting that maternal effects of
lines affect resistance in F1 but are dissipated in F2 generation hybrids. The
lack of consistency of GCA effects for lines used as female or male may reflect
the lesser importance of male contribution to GCA effects, or it might be a
consequence of the experimental design, which paired sub-groups of lines differently
as female and male (as opposed to a diallel design, where each line would have
been crossed to all other lines).
TABLE 5. Estimates of general combining ability
effects for index of weevil susceptibility calculated for F1
and F2 hybrids of lines used as females (GCAf) or males (GCAm)
in a North Carolina Design II mating scheme |
Line |
Set of hybrids |
F1 |
F2 |
Set of hybrids |
F1 |
GCAf |
SE (±) |
GCAf |
SE (±) |
GCAm |
SE (±) |
1 |
Res x Reg# |
0.0 |
0.3 |
-0.4* |
0.2 |
Res x Res# |
-0.6* |
0.3 |
2 |
Res x Reg |
0.5 |
0.3 |
-0.5* |
0.2 |
Res x Res |
1.9** |
0.3 |
3 |
Res x Reg |
-0.3 |
0.3 |
0.9* |
0.2 |
Res x Res |
-1.3** |
0.3 |
4 |
Res x Res |
2.7** |
0.3 |
0.6 |
0.5 |
CIM x Res |
0.0 |
0.3 |
5 |
Res x Res |
-3.7** |
0.3 |
1.7** |
0.5 |
CIM x Res |
-0.2 |
0.3 |
6 |
Res x Res |
1.0** |
0.3 |
-2.3** |
0.5 |
CIM x Res |
0.2 |
0.3 |
7 |
Reg x Reg |
2.4* |
0.6 |
0.2 |
0.2 |
Res x Reg |
1.1** |
0.3 |
8 |
Reg x Reg |
-3.3** |
0.6 |
0.2 |
0.2 |
Res x Reg |
-1.4** |
0.3 |
9 |
Reg x Reg |
0.9 |
0.6 |
-0.4 |
0.2 |
Res x Reg |
0.3 |
0.3 |
10 |
Reg x CIM |
-0.3 |
0.3 |
-0.1 |
0.3 |
Reg x Reg |
0.1 |
0.6 |
11 |
Reg x CIM |
0.0 |
0.3 |
0.4 |
0.3 |
Reg x Reg |
-0.4 |
0.6 |
12 |
Reg x CIM |
0.3 |
0.3 |
-0.3 |
0.3 |
Reg x Reg |
0.3 |
0.6 |
13 |
CIM x CIM |
-1.7** |
0.3 |
0.6 |
0.3 |
Reg x CIM |
0.4 |
0.3 |
14 |
CIM x CIM |
-0.2 |
0.3 |
-0.3 |
0.3 |
Reg x CIM |
-0.2 |
0.3 |
15 |
CIM x CIM |
1.9** |
0.3 |
-0.3 |
0.3 |
Reg x CIM |
-0.2 |
0.3 |
16 |
CIM x Res |
-0.4 |
0.3 |
0.1 |
0.3 |
CIM x CIM |
0.5 |
0.3 |
17 |
CIM x Res |
1.3** |
0.3 |
-0.2 |
0.3 |
CIM x CIM |
0.2 |
0.3 |
18 |
CIM x Res |
-0.9** |
0.3 |
0.1 |
0.3 |
CIM x CIM |
-0.7 |
0.3 |
Refer to Table 1 for pedigree and descriptors
for each line.
Estimates of GCAm are only presented for F1 hybrids because
there was no significant variance for GCAm among F2 hybrids.
# Res=resistant; Reg=regional; CIM=CIMMYT (see Table 1 for details).
*, ** Significant at 5% and 1% probability level, respectively; SE = standard
erro |
Variance of SCA effects was significant only for F1 hybrids
in one set and F2 hybrids in two sets (Table 6). Only the "Resistant x
Resistant" set had significant SCA effects in both F1 and F2, and these
were not consistent between the two generations. For example, hybrid 5x3 had
the best SCA effect in F1, but showed a reversal to unfavourable SCA effect
in F2. By contrast, hybrid 6x3 had positive SCA in F1 and negative SCA in F2.
These results are difficult to interpret. We can conclude that: 1) SCA effects
were not significant for most hybrids, and 2) it is essential to assess weevil
resistance for F2 grain because F1 is generally not a reliable predictor of
F2 performance. It is resistance shown in F2 which is of practical significance,
because farmers store and merchants trade F2 grain.
TABLE 6. Estimates of SCA effects (for sets
of hybrids where these were significantly different from zero) for index
of susceptibility of F1 and F2 hybrids within sets
of a North Carolina Design II mating among 18 maize inbred lines |
Hybrid |
Set |
F1 |
F2 |
SCA |
SE (±) |
SCA |
SE (±) |
4 x 1 |
Res x Res |
0.3 |
0.5 |
-0.5 |
0.7 |
4 x 2 |
Res x Res |
-1.6** |
0.5 |
-0.6 |
0.7 |
4 x 3 |
Res x Res |
1.4* |
0.5 |
1.1 |
0.7 |
5 x 1 |
Res x Res |
-2.8** |
0.5 |
-1.1 |
0.7 |
5 x 2 |
Res x Res |
6.6** |
0.5 |
-0.7 |
0.7 |
5 x 3 |
Res x Res |
-3.8** |
0.5 |
1.8* |
0.7 |
6 x 1 |
Res x Res |
2.5** |
0.5 |
1.6* |
0.7 |
6 x 2 |
Res x Res |
-5.1** |
0.5 |
1.3 |
0.7 |
6 x 3 |
Res x Res |
2.5** |
0.5 |
-2.9** |
0.7 |
13 x 16 |
CIM x CIM |
-# |
- |
0.1 |
0.4 |
13 x 17 |
CIM x CIM |
- |
- |
0.5 |
0.4 |
13 x 18 |
CIM x CIM |
- |
- |
-0.7 |
0.4 |
14 x 16 |
CIM x CIM |
- |
- |
0.6 |
0.4 |
14 x 17 |
CIM x CIM |
- |
- |
-1.9* |
0.4 |
14 x 18 |
CIM x CIM |
- |
- |
1.4* |
0.4 |
15 x 16 |
CIM x CIM |
- |
- |
-0.7 |
0.4 |
15 x 17 |
CIM x CIM |
- |
- |
1.4* |
0.4 |
15 x 18 |
CIM x CIM |
- |
- |
-0.7 |
0.4 |
Refer to Table 1 for pedigree and descriptors
for each line.
Res=resistant; CIM=CIMMYT (see Table 1 for details).
# Values are not shown because these were not significantly different from
zero.
*, ** Significant at 1 and 5% probability level, respectively; SE = standard
error |
CONCLUSION
We can only speculate whether our results would have been different
from those reported herein if we had worked with hybrids exhibiting higher levels
or greater variation for weevil resistance. Clearly, most of the hybrids in
this study were susceptible to weevil and not very different from each other
for this trait. Nevertheless, we found that hybrids had significant levels of
antibiosis, and that variation for antibiosis among hybrids was larger in F1
than F2 generation. Additive, non-additive, and maternal effects played significant
roles in determining antibiosis in F1 seed and F2 grain. Variance of GCA effects
for lines used as females was generally more important than that for lines used
as males, suggesting that breeders developing weevil resistant hybrids should
place greatest emphasis on choice of the female parent. Our results indicate
it is essential to evaluate weevil resistance of F2 grain, because we generally
found no relationship between performance in F1 and F2, and because it is weevil
resistance in F2 that is of practical significance.
ACKNOWLEDGEMENT
We gratefully acknowledge The Rockefeller Foundation for funding
this project.
REFERENCES
- Arnasson, J. T., Conilh de Beyssac, B., Philogene, B. J. R., Bergvinson,
D., Serratos, J. A. and Mihm, J. A. 1997. Mechanisms of resistance in maize
grain to the maize weevil and the larger grain borer. In: Insect resistant
maize: Recent advances and utilisation. Proceedings of an International
Symposium held at the International Maize and Wheat Improvement Center (CIMMYT),
27 November-3 December, 1994. Mihm, J. A. (Ed.), pp. 91-95. Mexico,
D.F.: CIMMYT.
- Arnasson, J. T., Gale, J., Conilh de Beyssac, B., Sen, A., Miller, S. S.,
Philogene, B. J. R., Lambert, J. D. H., Fulcher, R. G., Serratos, A. and Mihm,
J. 1992. Role of phenolics in resistance of maize grain to the stored grain
insects, Prostephanus truncatus (Horn) and Sitophilus zeamais
(Motsch.). Journal of Stored Products Research 28:119-126.
- Blackie, M. J. 1994. In: Realising smallholder agricultural potential.
Rukuni, M. and Carl, E. (Eds.), pp. 335-347. Zimbabwes Agricultural Revolution.
University of Zimbabwe Publications. Harare.
- Classen, D., Arnasson, J. T., Serratos, J. A., Lambert, J. D. H., Nozzolillo,
C. and Philogene, B. J. R. 1990. Correlation of phenolic acid content of maize
to resistance to Sitophilus zeamais, the maize weevil in CIMMYTs collections.
Journal of Chemical Ecology 16: 301-315.
- Comstock, R. E. and Robinson, H. F. 1952. Estimation of average dominance
of genes. In: Heterosis. Gowen, J.W. (Eds.), pp. 494-516. Iowa
State University Press, Ames, Iowa, USA.
- Dent, D. 1991. Insect pest management. CAB International, United
Kingdom. 604 pp.
- Derera, J., Giga, D.P. and Pixley, K.V. 2001. Resistance of maize to the
maize weevil: II. Non-preference. African Crop Science Journal 9:
- Dobie, P. 1977. The contribution of the Tropical Stored Products Centre
to the study of insect resistance in stored maize. Tropical Stored Products
Information 34:7-21.
- Giga, D. P. and Mazarura, U. M. 1990. Malathion resistance in Sitophilus
zeamais (Motsch.) in Zimbabwe. Tropical Pest Management 36: 320.
- Giga, D. P. and Mazarura, U. W. 1991. Levels of resistance to the maize
weevil, Sitophilus zeamais (Motsch.) in exotic, local open-pollinated
and hybrid maize germplasm. Insect Science and its Applications 12:159-169.
- Gomez, L. A., Rodriguez, J. G., Poneleit, C. G. and Blake, D. F. 1982. Preference
and utilisation of maize endosperm variants by the rice weevil. Journal
of Economic Entomology 75:363-367.
- Gomez, L. A., Rodriguez, J. G., Poneleit, C. G., Blake, D. F. and Smith,
C. R. Jr. 1983. Chemosensory responses of the rice weevil (Coleptera: Curculionidae)
to a susceptible and a resistant corn genotype. Journal of Economic Entomology
76:1044-1048.
- Hallauer, A. R. and Miranda, J. B. 1988. Quantitative genetics in maize
breeding. 2nd edition. Iowa State University Press, Ames, Iowa, USA.
pp. 64-74.
- Horber, E. 1989. Methods to detect and evaluate resistance in maize to grain
insects in the field and in storage. In: Toward insect resistance maize
for the Third World. Proceedings of the International Symposium on methodologies
for developing host plant resistance to maize insects. Mexico, D.F. CIMMYT.
327 pp.
- Kang, M. S., Zhang, Y. and Magari, R. 1995. Combining ability for maize
weevil preference of maize grain. Crop Science 35:1556-1559.
- Kossou, D. K., Mareck, J. H. and Bosque-Perez, N. A. 1993. Comparison of
improved and local maize varieties in the Republic of Benin with emphasis
on susceptibility to Sitophilus zeamais Motschulsky. Journal of
Stored Product Research 29:333-343.
- Painter, R. H. 1951. Insect Resistance in Crop Plants. McMillan,
New York. 520 pp.
- Schoonhoven, A. V., Horber, E. and Mills, R. B. 1976. Conditions modifying
expression of resistance of maize kernels to the maize weevil. Environmental
Entomology 5:163-168.
- Schoonhoven, A. V., Horber, E., Wassom, C.E. and Mills, R.B. 1975. Selection
for resistance to the maize weevil in kernels of maize. Euphytica 24:639-644.
- Sen, A., Bergvinson, D., Miller, S. S., Atkinson, J., Fulcher, G. R. and
Arnason, J. T. 1994. Distribution and micro-chemical detection of phenolic
acids, flavonoids, and phenolic acid amides in maize kernels. Journal of
Agricultural and Food Chemistry 42:1879-1883.
- Serratos, A., Arnason, J. T., Nozzolillo, C., Lambert, J. D. H., Philogene,
B. J. R., Fulcher, G., Davidson, K., Peacock, L., Atkinson, J. and Morand,
P. 1987. Factors contributing to resistance of exotic maize populations to
maize weevil, Sitophilus zeamais. Journal of Chemical Ecology
13:751-761.
- Tadesse, A., Medhin, T. G. and Hulluka, M. 1995. Comparison of some maize
genotypes for resistance to the maize weevil, Sitophilus zeamais Motsch.
(Coleptera: Curculionidae) in Ethiopia. In: Maize Research for stress environments.
Proceedings of the Fourth Eastern and Southern Africa Regional Conference,
held at Harare, Zimbabwe, 28 March -1 April 1994. Jewell,D. C., Waddington,
S.R., Ransom, J. K. and Pixley, K. V. (Eds.), pp. 198-201. Mexico D.F. CIMMYT.
- Tipping, P. W., Cornelius, P. L. and Legg, D. E. 1989. Inheritance of resistance
in whole kernel maize to oviposition by the maize weevil (Coleoptera: Curculionidae).
Journal of Economic Entomology 82:1466-1469.
- Widstrom, N. W., Hanson, W. D. and Redlinger, L. M. 1975. Inheritance of
maize weevil resistance in maize. Crop Science 15:467-470.
- Widstrom, N. W., McMillian, W. W., Redlinger, L. M. and Wiser, W. J. 1983.
Dent corn inbred sources of resistance to the maize weevil (Coleoptera: Curculionidae).
Journal of Economic Entomology 76:31-33.
- Wright, V. F., Mills, R. B. and Willcutts, B. J. 1989. Methods for culturing
stored grain insects. In: Toward insect resistance maize for the Third
World. Proceedings of the International Symposium on methodologies for developing
host plant resistance to maize insects. Mexico, D.F. CIMMYT. 302 pp.
|