Vol.1, No.1, 44-50 (2010)s
doi:10.4236/as.2010.11006
Copyright © 2010 SciRes. Openly accessible at http://www.scirp.org/journal/as/
Agricultural Science
Motes percentage and ginning outturn as affected with
cotton cultivar and location
HossamEl-Din H. El-Feky
Cotton Research Institute, Agricultural Research Center, Ministry of Agriculture and Land Reclamation, Giza, Egypt;
hossamhhf@hotmail.com
Received 30 April 2010; revised 3 May 2010; accepted 7 May 2010.
ABSTRACT
The present study was conducted to analyze
cotton cultivar and location differences in motes,
and to determine the relationships among these
and ginning outturn. Therefore, the seed cotton
of five promising hybrids namely; G. 77 × Pima S6
and G.84 × (G.74 × G.68) growing in [Kafr El-
Sheikh - Kafr El-Dawar - Etay El-Barood - Dami-
etta], G.89 × Pima S6 growing in [El-Sharkia -
El-Gharbiya - El-Dakahliya - El-Monofiya], G.83 ×
(G.75 × 5844) × G.80 and G.90 × Australian
growing in [Sohag - El-Minia - Beni-Sueif - El-
Faium] were used in this study. The results ob-
tained indicate that the varieties exhibited dif-
ferent behavior responses to environmental
conditions. On the whole, environmental factors
associated with differences in place of growth,
appeared to have much more influence on the
number of motes than did varietal factors. Most
of the locks for the promising hybrids at the
different locations tend to cluster around the
mean of 6 or 7 seeds per lock. There is a fairly
marked tendency for the lock index, lint weight
and lint percentage to decrease as the motes
percentage increase. On the other hand, most of
the promising hybrids under study tend to in-
crease in the seed index as the motes percent-
age increase. However, the increasing in seed
index as a result of the increasing in motes
percentage for some cotton cultivars growing at
different environments could be explain the dif-
ference in behavior for these cotton cultivars in
lint percentage.
Keywords: Cotton Cultivar; Ginning Outturn;
Location; Lock Index; Motes; Seed Index
1. INTRODUCTION
Cotton ginning outturn is much used measurement in
cotton production, marketing and ginning. Ginning out-
turn is the percentage of ginned lint obtained from a mass
of seed cotton. However, plant location plays a serious
role on ginning outturn. The number of seeds per boll is a
component of both cotton yield and fiber quality and is a
function of the number of locules (carpels) per boll and
the number of ovules per locule [1]. Both cultivar and
environment contribute to the variation in the number of
seeds per boll. Weather conditions affect ovule develop-
ment, polle n ferti li ty, and pol l en di spersal [ 1- 3].
Motes are defined as ovules that have not been fertil-
ized or underdeveloped seed in which embryos ceased
growth shortly after fertilization [4,5]. Mangialardi and
Meredith [6] reported that there was an interaction be-
tween variety and year for the number of motes. Davi-
donis et al. [7] found discrepancies between reports re-
lating mote frequency and boll location. They concluded
from their study that long fiber motes were related to th e
timing and intensity of environmental stress, not harvest
date or boll location . Bolek [8] stated that motes are cot-
ton (Gossypium spp.) ovules that fail to ripen into mature
seeds. These aborted ovules represent a loss in yield and
can cause imperfections in yarn and cloth quality.
Mote frequencies and mote weights were affected by
varieties and years. Percy [9] found that high ovule
abortionn rates (mote production) observed in Gos-
sypium hirsutum L. x G. barbadense L. interspecific F1
hybrids (ISH) have generally been attributed to the
presence of genetic incompatibilities between the two
parent species. Other caus es of mote production within G.
hirsutum and G. barbadense cottons are adverse envi-
ronmental factors. The environmental variance in seed
index was generally small [10]. In contrast to [10],
Turner et al. [11] reported that the variance in seed index
due to cultivar and cultivar x location were highly sig-
nificant. However, Understanding factors controlling
seed abortion is of importance to ph ysiologists, breeder s,
producers, and ginners.
Thus, the objectives of this research were to 1) deter-
mine the frequency of seeds, motes production and gin-
ning outturn as affected with cotton cultivar an d location,
and 2) determine if seed weight per locules was related
to ginning outturn.
H.-D. H. El-Feky / Agricultural Scienc es 1 (2010) 44-50
Copyright © 2010 SciRes. Openly accessible at http://www.scirp.org/journal/as/
45
2. MATERIALS AND METHODS
The present study was conducted to determine variation
in motes number (motes per lock), and its effect on gin-
ning outturn for seed-cotton samples, representing dif-
ferent varieties and environments (locations). The varie-
ties and locations are listed in the following table.
No. Cotton cultivar location
1 H1: G.77 × Pima S6
Kafr El-Sheikh
Kafr El-Dawar
Etay El-Barood
Damietta
2 H2: G.84 × (G.74 × G.68)
Kafr El-Sheikh
Kafr El-Dawar
Etay El-Barood
Damietta
3 H4: G.89 × Pima S6
El-Sharkia
El-Gharbiya
El-Dakahliya
El-Monofiya
4 H6: G.83 × (G.75 × 5844) ×
G.80
Sohag
El-Minia
Beni-Sueif
El-Faium
5 H8: G.90 × Australian
Sohag
El-Minia
Beni-Sueif
El-Faium
The present study was carried out in 2008 at the Cot-
ton Ginning Research Section, Cotton Research Institute,
Agricultural Research Center. The sample consists of
100 locks and the seeds in each lock were numbered and
sorted according to the presence or absence of motes.
The percentage of locks with motes was determined.
Measurements made included: potential seed number
(determined to be the number of seed plus motes per
locule), ovule abortion rate (expressed as the percent of
the potential seed number per locule which were motes),
lock index (the weight, in grams, of 100 locks), lint
weight per 100 locks and seed index (the weight, in
grams, of 100 seeds). The samples were ginned by the
McCarthy reciprocating knife 16-inch roller gin stand.
The lint percentage (ginning outturn) was calculated for
each sample by dividing the weight of the ginned lint by
the initial seed cotton weight.
3. RESULTS AND DIS CUSSION
The present investigation was conducted to determine to
what degree environment and cotton cultivar contributes
to the mote numbers and ginning outturn.
3.1. Variations in the Number of Motes in
Seed Cottons
Varietal differences in the number of motes formed are
very striking (Table 1, Figures 1-8). The average per-
Table 1. Lock properties and lint percentage as affected with the cotton cultivar and location.
Promising Hybrid Location Seed (%) Motes (%)Lock
index (g)Lint
weight (g) Seed
index (g)
Lint
percentage
(%)
G.77 × Pima S6 Kafr El-Sheikh 70.6 29.4 89.1 32.2 10.5 36.1
Kafr El-Dawar 76.4 23.6 90.9 33.4 9.6 36.7
Etay El-Barood 81.3 18.8 97.4 36.1 9.4 37.0
Damietta 73.3 26.8 77.2 26.7 8.2 34.6
Mean 75.4 24.7 88.7 32.1 9.4 36.1
Kafr El-Sheikh 78.8 21.3 102.9 38.5 10.4 37.4
G.84 × (G.74 × G.68) Kafr El-Dawar 81.5 18.5 109.8 41.0 10.3 37.3
Etay El-Barood 84.8 15.3 113.5 40.8 10.8 35.9
Damietta 79.9 20.1 95.6 33.8 9.6 35.4
Mean 81.3 18.8 105.5 38.5 10.3 36.5
G.89 × Pima S6 El-Sharkia 80.9 19.1 117.7 45.5 11.1 38.7
El-Gharbiya 77.3 22.8 92.0 35.8 9.0 38.9
El-Dakahliya 75.8 24.3 91.0 34.8 9.2 38.2
El-Monofiya 72.1 27.9 100.7 39.3 10.6 39.0
Mean 76.5 23.5 100.4 38.9 10.0 38.7
Sohag 74.4 25.6 88.6 36.1 8.8 40.8
G.83 × (G.75 × 5844) × G.80 El-Minia 81.3 18.8 75.3 31.0 6.1 41.2
Beni-Sueif 73.5 26.5 98.8
39.6 9.7 40.1
El-Faium 72.1 27.9 76.7 32.0 7.7 41.7
Mean 75.3 24.7 84.8 34.7 8.1 40.9
Sohag 76.5 23.5 90.3 37.0 8.9 41.0
G.90 × Australian El-Minia 81.4 18.6 82.4 34.7 7.3 42.1
Beni-Sueif 77.5 22.5 86.4 36.3 8.2 42.0
El-Faium 75.9 24.1 86.1 36.4 8.4 42.3
Mean 77.8 22.2 86.3 36.1 8.2 41.8
H.-D. H. El-Feky / Agricultural Scienc es 1 (2010) 44-50
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46
Figure 1. Normal distribution curves of seeds count per lock for the
promising hybrids [G.77 × Pima S6 and G.84 × (G.74 × G.68)] at 4 lo-
cations.
Figure 2. Normal distribution curves of seeds count per lock for the
promising hybrid [G.89 × Pima S6] at 4 locations.
Figure 3. Normal distribution curves of seeds count per lock for the
promising hybrids [G.83 × (G.75 × 5844) × G.80 and G.90 × Austra-
lian] at 4 locations.
××
×
×
×
×
×
×
H.-D. H. El-Feky / Agricultural Scienc es 1 (2010) 44-50
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Figure 4. Cumulative frequency curves of seeds count per lock for the
promising hybrid [G.77 × Pima S6] at 4 locations.
Figure 5. Cumulative frequency curves of seeds count per lock for the
promising hybrid [G.84 × (G.74 × G.68)] at 4 locations.
Figure 6. Cumulative frequency curves of seeds count per lock for the
promising hybrid [G.89 × Pima S6] at 4 locations.
×
×
×
×
H.-D. H. El-Feky / Agricultural Scienc es 1 (2010) 44-50
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Figure 7. Cumulative frequency curves of seeds count per lock for the
promising hybrid [G.83 × (G.75 × 5844) × G.80] at 4 locations.
Figure 8. Cumulative frequency curves of seeds count per lock for the
promising hybrid [G.90 × Australian] at 4 locations.
centages of locks possessing motes ranged from 18.8 %
for the promising hybrid [G.84 × (G.74 × G.68)] to 24.7
% for the promising hybrid [G.77 × Pima S6] and [G.83 ×
(G.75 × 5844) × G.80]. In general, the relative differences
among the varieties were about the same from location to
location. The varieties exhibited different behavior re-
sponses to environmental conditions. However, the per-
centages of locks with motes were higher for [G.77 ×
Pima S6] in Kafr El-Sheikh (29.4 %) than [G.84 × (G.74
× G.68)] in Etay El-Barood (15.3 %). The importance of
the influence of environmental factors and cotton culti-
vars on the development of motes is shown by the highly
differences in the number of motes in seed-cotton sam-
ples representing different locations and cotton cultivars
(Table 1). On the whole, environmental factors associ-
ated only with differences in place of growth, appeared
to have much more influence on the number of motes
developed than did varietal factors.
Figures 1-8 of normal distribution and cumulative
frequency curves of locks with motes in 4-, 5-, 6-, 7-, and
8-seed per lock classes illustrate the mean, median and
concentration the data around the mean for the 5 prom-
ising hybrids at the different locations. Its show that most
of the locks for the promising hybrid at the different lo-
cations tends to cluster around the mean of 6 or 7 seeds
per lock.
3.2. Relation between Motes Percent age and
Ginning Outturn
The results are not entirely cons istent, but in general and
for most promising hybrids under study there is a fairly
marked tendency for the lock index (the weight, in grams,
of 100 locks), lint weight per 100 locks and lint percent-
age to decrease as the motes percentage increase (Fig-
ures 9, 10 and 12). It is true that certain varieties failed
to show this tend, and some showed it to a much more
pronounced degree than others. On the other hand, most
of the promising hybrids under study tend to increase in
the seed index (the weight, in grams, of 100 seeds) as the
motes percentage increase (Figure 11).
×
×
×
×
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Figure 9. Relationship between lock index and motes percentage for the 5
promising hybrids.
Figure 10. Relationship between lint weight per 100 locks and
motes percentage for the 5 promising hybrids.
Figure 11. Relationship between seed index and motes per
centage for the 5 promising hybrids.
H.-D. H. El-Feky / Agricultural Scienc es 1 (2010) 44-50
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50
Figure 12. Relationship between lint percentage and motes per-
centage for the 5 promising hybrids.
For the promising hybrids [G.84 × (G.74 × G.68) and
G.89 × Pima S6] the results show that as the motes per-
centage increased the lock index and lint weight per 100
locks decreased and the lint percentage increased this
could be explained a result of the decreasing in seed in-
dex. But, for the promising hybrid [G.77 × Pima S6] the
results show that as the motes percentage increased the
lock index and lint weight per 100 locks decreased and
the lint percentage decreased as a result of the increasing
in seed index. while, for the promising hybrids [G.83 ×
(G.75 × 5844) × G.80 and G.90 × Australian] the results
indicated that as the motes percentage increased the lock
index and lint weight p er 100 locks increased and the lint
percentage decreased as a result of the increasing in seed
index.
However, the increasing in seed index as a result of
the increasing in motes percentage for some cotton cul-
tivars growing at different environments could be ex-
plain the difference in behav ior for these cotton cu ltivars
in lint percentage.
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