This study evaluated the performance of six cotton genotypes across four locations based on vegetative branches, fruiting branches, plant height, bolls per plant, and yield. The results showed significant variations among genotypes and locations for most traits. Genotype UKM 08 exhibited the highest number of vegetative branches but lower yields. Genotype NTA 93-21/IL85/AUBURN 56(08)1-5-5 performed best overall, with consistently high yields across locations. Location also influenced traits, with Mwaukoli-Meatu generally showing taller plants and higher yields than other locations. The study highlights the importance of selecting suitable genotypes and growing conditions for optimal cotton cultivation.

1. 1. Introduction
2. Materials and Methods
3. Results and Discussion
VEGETATIVE BRANCHES:
The results are presented in the table below, showing the means of the number of vegetative
branches for each cotton genotype in different locations:
MEANS OF NUMBER OF VEGETATIVE BRANCHES OF COTTON GENOTYPES
Genotype/treatment Igunda-
Kahama
Ipililo-
Maswa
Mwaukoli-
Meatu
Ukiriguru-
Misungwi
NTA 93-21/91(06) (06)11 3a 5 4 5a
NTA 93-21/DELCOT 344/91(08)3 3ab 7 3 6a
HC - B4 -75/91(03) 2-2 5bc 6 3 7b
NTA 93-21/IL85/AUBURN 56(08)1-5-5 5bc 6 4 6a
TAMCOTSPHINA/IL74(06)1-8-3 5cd 4 5 6a
UKM 08 6d 6 3 6a
Overall mean 5 6 3 6
s.e (±) 0.4 1.2 0.9 0.4
c.v (%) 13 26.7 38.4 9.8
F pr 0.001 0.249 0.173 0.013
Means followed by the same letter(s) in the same column are not statistically different following
Fisher`s protected lsd Test (P ≤ 0.05).
Discussion:
The results indicate significant variations in the number of vegetative branches among different
cotton genotypes and treatments in the four locations. Below are the key findings and discussions:
The overall mean number of vegetative branches was 5, with different genotypes showing varying
means. Genotype UKM 08 had the highest mean (6), indicating a greater number of vegetative
branches, while genotype NTA 93-21/91(06) (06)11 had the lowest mean (3). These differences
highlight the genetic variability in cotton plants for this trait.
The study was conducted in four locations, and the results demonstrate location-specific
variations. For instance, in the Ukiriguru-Misungwi location, all genotypes had a mean of 6
vegetative branches, while in Mwaukoli-Meatu, the mean was 3. This suggests that environmental
factors in different locations may influence vegetative branch development.

2. The analysis of variance (F pr) shows that there are significant differences in vegetative branch
means among genotypes in Igunda-Kahama (p = 0.001), while in other locations (Ipililo-Maswa,
Mwaukoli-Meatu, and Ukiriguru-Misungwi), the differences were not statistically significant.
The standard error and coefficient of variation provide insights into the precision and reliability of
the means. The s.e values are relatively small, indicating that the means are reliable. The c.v
values vary among locations, with the highest being in Mwaukoli-Meatu (38.4%), suggesting
higher variability in this location.
The study reveals significant variations in the number of vegetative branches among different
cotton genotypes and locations. Genotype UKM 08 exhibited the highest number of vegetative
branches, while genotype NTA 93-21/91(06) (06)11 had the lowest. These findings emphasize
the importance of genotype selection and consideration of environmental factors in cotton
cultivation.
FRUITING BRANCHES
The results of the study, shown in the table below, reveal the mean number of fruiting branches
for each cotton genotype at the four different locations.
MEANS OF NUMBER OF FRUITING BRANCHES COTTON GENOTYPES
Genotype/treatment Igunda-
Kahama
Ipililo-
Maswa
Mwaukoli-
Meatu
Ukiriguru-
Misungwi
TAMCOTSPHINA/IL74(06)1-8-3 6 11 8 7
NTA 93-21/91(06) (06)11 7 9 9 7
NTA 93-21/DELCOT 344/91(08)3 7 9 9 7
UKM 08 7 9 12 7
NTA 93-21/IL85/AUBURN 56(08)1-5-5 9 9 10 7
HC - B4 -75/91(03) 2-2 9 9 10 7
Overall mean 7 9 10 7
s.e (±) 1.5 0.7 1.6 0.6
c.v (%) 29.6 9.2 23.5 13.1
F pr 0.388 0.146 0.167 0.823
Means followed by the same letter(s) in the same column are not statistically different following
Fisher`s protected lsd Test (P ≤ 0.05).
Discussion:
The results of this study suggest that the number of fruiting branches in cotton genotypes can
vary, and this variation is influenced by both genotype and location. The overall mean fruiting
branch count of 7 suggests that, on average, cotton plants in this study produced seven fruiting
branches. However, it is essential to note that this mean is an aggregate, and the specific counts
varied between genotypes and locations.
The low F-ratio values indicate that, in most cases, the differences in fruiting branches between
genotypes and locations were not statistically significant. This implies that the genotypes tested

3. in this study showed similar performance in terms of fruiting branches, and the choice of location
did not significantly impact the fruiting branch count.
The coefficient of variation (c.v) values provide insights into the variability within each dataset.
Locations Mwaukoli-Meatu and Ukiriguru-Misungwi exhibited higher c.v values compared to
Igunda-Kahama and Ipililo-Maswa, indicating greater variability in fruiting branch counts in the
former locations.
Overall, while there were differences in fruiting branch counts among the cotton genotypes and
locations, these differences were not statistically significant. This suggests that other factors, such
as weather conditions, soil quality, and pest management, may have a more substantial impact
on cotton yield.
PLANT HEIGHT
The mean plant heights for each cotton genotype/treatment, along with the overall mean, standard
error, coefficient of variation, and F-test results, are summarized in the table below:
MEANS FOR PLANT HEIGHT (cm) OF COTTON GENOTYPES
Genotype/treatment Igunda-
Kahama
Ipililo-
Maswa
Mwaukoli-
Meatu
Ukiriguru-
Misungwi
UKM 08 94.6a 94.33 99.9b 93.55bc
TAMCOTSPHINA/IL74(06)1-8-3 96.4a 94.73 79.1a 83.6ab
NTA 93-21/IL85/AUBURN 56(08)1-5-5 97.5a 87.67 102.2b 82.85ab
NTA 93-21/DELCOT 344/91(08)3 106.8b 82.87 105.8bc 78.25a
HC - B4 -75/91(03) 2-2 108.6b 90 108bc 96.05c
NTA 93-21/91(06) (06)11 121.6c 91.87 117c 85.2abc
Overall mean 104.25 90.2 102 86.6
s.e (±) 1.519 5.57 5.32 5.34
c.v (%) 2.1 7.6 7.4 8.7
F pr <.001 0.338 <.001 0.034
Means followed by the same letter(s) in the same column are not statistically different following
Fisher`s protected lsd Test (P ≤ 0.05).
Discussion:
The analysis of the data reveals several important findings:
Genotypes showed significant variations in their mean plant heights. Genotype NTA 93-21/91(06)
(06)11 exhibited the tallest plants with an average height of 121.6 cm, followed by HC - B4 -
75/91(03) 2-2 (108.6 cm) and NTA 93-21/DELCOT 344/91(08)3 (106.8 cm).
TAMCOTSPHINA/IL74(06)1-8-3 had the shortest plants on average (79.1 cm).
The data suggests that the effect of location and treatment on plant height is not consistent across
genotypes. For instance, genotype UKM 08 had its tallest plants in the Mwaukoli-Meatu treatment
(99.9 cm) but the shortest in the Ukiriguru-Misungwi treatment (93.55 cm). Genotype NTA 93-

4. 21/IL85/AUBURN 56(08)1-5-5 showed the highest variability across locations with an average
height ranging from 87.67 cm in Ipililo-Maswa to 102.2 cm in Mwaukoli-Meatu.
The overall mean plant height for all genotypes and treatments was 104.25 cm. The coefficient of
variation (c.v) was relatively low, indicating low variability in the overall dataset.
The F-test results demonstrate statistical significance for genotype and location/treatment (except
for Ipililo-Maswa). Moreover, the analysis reveals that different genotypes respond differently to
various locations in terms of plant height. This information can be crucial for cotton breeders and
farmers in selecting the most suitable genotypes to optimize cotton plant growth.
AVERAGE NUMBER OF BOLLS PER PLANT:
The means for the number of bolls per plant for each genotype/treatment, along with the overall
mean, standard error, coefficient of variation, and F-value, are presented in the table below:
MEANS FOR NUMBER OF BOLLS PER PLANT OF COTTON GENOTYPES
Genotype/treatment Igunda-
Kahama
Ipililo-
Maswa
Mwaukoli-
Meatu
Ukiriguru-
Misungwi
TAMCOTSPHINA/IL74(06)1-8-3 8a 7 8 9
UKM 08 9ab 10 13 10
NTA 93-21/DELCOT 344/91(08)3 11bc 8 10 8
HC - B4 -75/91(03) 2-2 13c 10 11 11
NTA 93-21/IL85/AUBURN 56(08)1-5-5 13c 8 10 10
NTA 93-21/91(06) (06)11 13c 10 11 9
Overall mean 11 9 10 9
s.e (±) 1.2 1.4 1.9 1.4
c.v (%) 15.3 20.2 25.1 21.5
F pr 0.002 0.479 0.213 0.619
Means followed by the same letter(s) in the same column are not statistically different following
Fisher`s protected lsd Test (P ≤ 0.05).
Discussion:
The analysis of the data reveals several key findings:
There are significant differences in the number of bolls per plant among the different cotton
genotypes. Genotypes like HC - B4 -75/91(03) 2-2 and NTA 93-21/IL85/AUBURN 56(08)1-5-5
consistently produce a higher number of bolls compared to others.
The locations subjected to each genotype have varying effects on boll production. For example,
the UKM 08 genotype produces significantly more bolls under location 3 (Mwaukoli-Meatu) (13
bolls) compared to other locations and other genotypes. The overall mean for the number of bolls
per plant across all genotypes and treatments is 11. This value provides a baseline for evaluating
the performance of individual genotypes.

5. The coefficient of variation (c.v) represents the relative variability in boll production within each
genotype and treatment. Higher c.v values indicate greater variability. In this study, Mwaukoli-
Meatu has the highest c.v value (25.1%), suggesting that it exhibits the most variable boll
production.
The F-value indicates the overall significance of the differences observed. In this study, the F-
values are relatively low, suggesting that the differences in boll production among genotypes and
treatments are statistically significant at Igunda-Kahama while the case is opposite in other
locations.
These findings have practical implications for cotton growers and breeders. Genotypes that
consistently produce more bolls can be targeted for further cultivation and breeding programs.
Additionally, the choice of location can impact boll production, highlighting the importance of
selecting the right growing conditions for specific cotton genotypes.
AVERAGE YIELDS:
The results of the study, shown in the table below, reveal the mean yield for each cotton genotype
at the four different locations.
YIELD MEANS (Kg/ha) OF COTTON GENOTYPES
Genotype Igunda-
Kahama
Ipililo-
Maswa
Mwaukoli-
Meatu
Ukiriguru-
Misungwi
UKM 08 1603 2149 2584 1251
NTA 93-21/DELCOT 344/91(08)3 1660 2211 2606 1592
TAMCOTSPHINA/IL74(06)1-8-3 1846 2048 2042 1143
NTA 93-21/91(06) (06)11 2161 2058 2369 1300
HC - B4 -75/91(03) 2-2 2195 2113 3206 1174
NTA 93-21/IL85/AUBURN 56(08)1-5-5 2275 2061 2403 1438
Overall mean 1957 2106.7 2534.9 1316.54
s.e (±) 382.4 181.149 841.464 153.365
c.v (%) 27.6 10.5 46.9 16.5
F pr 0.372 0.93 0.827 0.079
Means followed by the same letter(s) in the same column are not statistically different following Fisher`s
protected lsd Test (P ≤ 0.05).

6. Discussion:
The overall mean yield of all genotypes combined is 1957 Kg/ha in Igunda-Kahama, 2106.7 Kg/ha
in Ipililo-Maswa, 2534.9 Kg/ha in Mwaukoli-Meatu, and 1316.54 Kg/ha in Ukiriguru-Misungwi.
Among the genotypes, "NTA 93-21/IL85/AUBURN 56(08)1-5-5" consistently showed the highest
yield in all locations. "HC - B4 -75/91(03) 2-2" also demonstrated strong performance, especially
in Mwaukoli-Meatu, where it had the highest yield. "TAMCOTSPHINA/IL74(06)1-8-3" had the
lowest yields in most locations, particularly in Ukiriguru-Misungwi. The location significantly affects
cotton yield, with Mwaukoli-Meatu showing the highest overall mean yield, while Ukiriguru-
Misungwi has the lowest.
The coefficient of variation (c.v) indicates the variability in yields. A higher c.v suggests greater
variability, which can be seen in Mwaukoli-Meatu and Ukiriguru-Misungwi. The standard error
(s.e) is highest in Mwaukoli-Meatu, indicating that the mean yield values in this location are less
precise.
The F-ratio (F pr) tests the significance of differences between genotypes. A lower F-ratio
suggests that the differences are not statistically significant. In this case, the differences in yield
between genotypes are generally not statistically significant.
Genotypes like "NTA 93-21/IL85/AUBURN 56(08)1-5-5" and "HC - B4 -75/91(03) 2-2" show
promise and may be preferred in regions with similar climatic conditions to those in the study. The
choice of cotton genotype can significantly impact yield.