# Effects of Nitrogen Application on Growth and Ethanol Yield of Sweet Sorghum [Sorghum bicolor (L.) Moench] Varieties

Authors: Oluwatoyin Olugbemi; Yekeen Abiola Ababyomi
Journal: Advances in Agriculture
 (2016)

---

## Abstract

A study was carried out in two locations, Ilorin (8° 29′ N; 4° 35′ E; about 310 m asl) and Ejiba (8° 17′ N; 5° 39′ E; about 246 m asl), at the Southern Guinea Savannah agroecological zone of Nigeria to assess the effect of nitrogen fertilizer on the growth and ethanol yield of four sweet sorghum varieties (NTJ-2, 64 DTN, SW Makarfi 2006, and SW Dansadau 2007). Five N fertilizer levels (0, 40, 80, 120, and 160 kg ha−1) were used in a 4 × 5 factorial experiment, laid out in split-plots arrangement. The application of nitrogen fertilizer was shown to enhance the growth of sweet sorghum as observed in the plant height, LAI, CGR, and other growth indices. Nitrogen fertilizer application also enhanced the ethanol yield of the crop, as variations in growth parameters and ethanol yield were observed among the four varieties studied. The variety SW Dansadau 2007 was observed as the most promising in terms of growth and ethanol yield, and the application of 120 kg N ha−1 resulted in the best ethanol yield at the study area.


---

## Body

## 1. Introduction

The quest for alternative energy sources in the wake of environmental problems created as a result of overdependence on conventional energy sources has led to an increase in research in the field of renewable energy sources such as biofuels which include biodiesel and bioethanol [1–3]. Biodiesel is obtained from plants that are rich in oil while bioethanol is obtained from plants that are rich in fermentable sugar or other carbohydrates which can further be broken down to fermentable sugars. The major commercial sources of bioethanol include sugarcane, sugar beets, and corn. Sweet sorghum is also recently gaining popularity as a major feedstock for commercial bioethanol production because of its numerous advantages which include high fermentable sugar, early maturity, and low nutrient and water requirements [4, 5].Sweet sorghum is an annual energy crop that favourably answers the “food or fuel” question as it does not compete with food or feed, and it can ratoon, following harvest, under favourable climatic conditions. These features have made sweet sorghum a choice bioethanol crop of the semiarid tropics in the sub-Saharan Africa and India [6]. It is a crop of high universal value since it can be cultivated in tropical, subtropical, temperate, and semiarid regions, as well as in poor quality soils of the world [7]. It is termed ‘‘the sugarcane of the desert’’ or ‘‘the camel among crops’’ due to its drought hardy characteristics [8].The biomass yields of sweet sorghum have been reported to vary across a range of nitrogen (N) fertilizer rates, cultivars, and plant populations. For instance, Wortmann et al. [9] reported dry stalk yields from 8 to 48 metric ton ha−1 across a range of N fertilization rates, cultivars, and plant populations. Soileau and Bradford [10] measured dry biomass yields ranging from 6 to 18 metric ton ha−1 across a range of fertilization and liming treatments. Other workers such as Reddy et al. [11], Turgut et al. [12], and Uchino et al. [13] have carried out studies on the optimization of nitrogen requirements of sweet sorghum for various environments and soil types. There is, however, very little or no information available in this part of the world on the effect of N fertilizer on the growth and especially the ethanol yield of sweet sorghum. This is because attention is devoted more to cultivating both grain and sweet sorghum types for their grains, and there is very low level of awareness on the usefulness of the crop for biofuel production. In order for sweet sorghum to be a sustainable energy crop, there is a need to not only breed high yielding varieties, but also develop and establish appropriate agronomic practices, including the use of optimum level of N fertilizer. This study was therefore carried out to assess the effect of nitrogen fertilizer application on the growth and ethanol yield of sweet sorghum varieties in the Southern Guinea Savannah agroecological zone of Nigeria.


## 2. Materials and Methods

A study was conducted during the 2015 cropping season at the University of Ilorin Teaching and Research farm, Ilorin (latitude 8° 29′ N, longitude 4° 35′ E; about 310 m above sea level), and Lower Niger River Development Authority (LNRDA) farm, Ejiba (latitude 8° 17′ N, longitude 5° 39′ E; about 246 m above sea level). The two sites fall within the Southern Guinea Savannah agroecological zone of Nigeria. The fields in both sites were cleared, ploughed, harrowed, and ridged. The field was thereafter divided into plots, each made up of 4 ridges of 3 m long with interrow spacing of 1 m, representing an area of 12 m2. The experiment was a 4 × 5 factorial in a randomised complete block design, laid out in split-plot arrangement, and replicated three times. Four sweet sorghum varieties (NTJ-2, 64 DTN, SW Makarfi 2006, and SW Dansadau 2007), obtained from the Institute of Agricultural Research (IAR), Ahmadu Bello University (ABU), Zaria, Nigeria, were allotted to the main plots while nitrogen fertilizer levels (0, 40, 80, 120, and 160 kg ha−1) were allotted to the subplot.The seeds were sown directly on the ridges on 8 and 30 June 2015 at the Ilorin and Ejiba sites, respectively, with an intrarow spacing of 0.25 m. The seedlings were later thinned to two plants per stand. The plots were sprayed immediately after sowing with atrazine (500 g L−1 ai) at the rate of 5 L ha−1. This was then supplemented with hoeing at eight weeks after sowing (WAS). Nitrogen fertilizer was applied in two equal doses according to the treatment. The first dose of nitrogen fertilizer was applied immediately after thinning (3 WAS), in addition to 40 kg ha−1 of phosphorus (P2O5) and potassium (K2O) which were applied to all the plots. The second dose was applied at 8 weeks after planting, immediately after hoeing. For the first dose, NPK 20 : 10 : 10 compound fertilizer was used for the plots receiving nitrogen fertilization; the P2O5 and K2O were supplemented using single super phosphate (SSP) and muriate of potash (MOP), respectively, to make up the required 40 kg ha−1. For the plots without nitrogen fertilization, only SSP and MOP were applied. Urea was used for the second dose and applied to each plot according to the required treatments. Preplanting soil samples of the top soil (0–30 cm) were obtained for physical and chemical analysis.Plant height of five randomly selected plants from the inner rows of each plot were measured biweekly beginning from 4 to 10 WAS. Leaf area per plant and dry matter yield were obtained at 6 and 10 WAS from the product of the length and breadth of each leaf and a factor of 0.75 according to Stickler et al. [14] and Moll and Kamprath [15]. Growth indices such as leaf area index (LAI), crop growth rate (CGR), relative growth rate (RGR), leaf area ratio (LAR), and net assimilation rate (NAR) were calculated from the leaf area and the dry matter yield according to Hunt [16]. Yield parameters obtained include fresh stalk yield, dry stalk yield, stalk girth, and stalk length. The brix was measured using a handheld refractometer (Bellingham & Stanley Ltd., Tunbridge Wells, UK). The theoreticaljuice yield (t ha−1) andsugar yield (t ha−1) of the stalks were then calculated according to Tew et al. [17] and Wortmann et al. [9] in the following steps:(1)
C
S
Y
=
F
S
Y
-
D
S
Y
×
B
r
i
x
100
×
0.75
,
J
Y
,
80
%
e
x
t
r
a
c
t
e
d
=
F
S
Y
-
D
S
Y
-
C
S
Y
×
0.8
,
S
Y
=
J
Y
×
B
r
i
x
100
×
0.75
,where CSY is the conservative sugar yield (g plant−1), FSY is fresh stalk yield (g plant−1), DSY is dry stalk yield (g plant−1), JY is juice yield (g plant−1) with 80% extraction efficiency assumed, and SY is sugar yield (g plant−1). The sugar concentration of juice was assumed to be 75% of brix value. Ethanol yield was then estimated as a product of sugar yield and a factor, 0.581 [9, 18–20].All data obtained were subjected to analysis of variance using Genstat Discovery 4 statistical package and the means separated using the least significant difference (LSD) at 5% probability level.


## 3. Results and Discussion

The results of the physicochemical analysis (Table1) show that the soil of the two sites of the study could be classified as loamy sand. The soil pH, being slightly acidic (6.2 and 6.7 for the two sites, resp.), falls within the wide range of pH (5.0–8.5) that can be tolerated by the crop [21, 22]. The total nitrogen obtained for the soil samples falls within the moderately low range at the two sites, making the sites appropriate for the study. Available phosphorus can be considered low in the soil samples of the experimental sites while exchangeable potassium values could be categorized as moderate.Table 1
Soil physicochemical characteristics of Ilorin and Ejiba experimental sites.
Parameter
Ilorin
Ejiba
pH
6.20
6.70
Total N (%)
0.16
0.18
Available P (mg kg−1)
4.51
4.20
Exchangeable K (cmol)
0.52
1.90
Exchangeable Ca (cmol)
1.12
0.32
Exchangeable Mg (cmol)
0.81
0.14
Exchangeable Na (cmol)
0.28
0.82
Exchangeable H++Al (cmol)
0.21
0.20
ECEC (cmol)
2.94
3.38
Organic carbon (%)
1.43
0.30
Sand (%)
85.52
86.40
Silt (%)
6.00
6.00
Clay (%)
8.48
7.60
Textural class
Loamy sandSignificant differences were observed in the heights of the sweet sorghum varieties studied, especially towards the end of the measurement period (i.e., 10 WAS), with the variety SW Dansadau 2007 being significantly taller than NTJ-2 and 64 DTN but having similar heights to SW Makarfi 2006 at both sites of the study (Table2). This observation is in agreement with those of earlier studies where significant variations were reported in the heights of sweet sorghum varieties [23–25]. The effect of nitrogen fertilizer on the height of sweet sorghum became apparent from 6 WAS. At 10 WAS in Ilorin, significant difference did not exist in the heights produced by the application of the rates of 40 to 160 kg N ha−1, although the heights differ significantly from that of the control. Similar results were also obtained at the Ejiba site, where, however, 160 kg N ha−1 fertilizer rate resulted in shorter plant than the application of 120 kg N ha−1. The trends of response observed were similar to the observations of Uchino et al. [13] who reported that plant height increased with increased nitrogen fertilizer level. The interactive effect of variety × N fertilizer observed at 8 WAS in both sites points to the fact that there were variations in the responses of the varieties to the application of N fertilizer.Table 2
Main effects of variety andN fertilizer on the plant heights (cm) of sweet sorghum at 4 to 10 weeks after sowing (WAS) at the Ilorin (ILR) and Ejiba (EJB) experimental sites.
Treatment
4
6
8
10
ILR
EJB
ILR
EJB
ILR
EJB
ILR
EJB
Variety (V)
NTJ-2
38.89
28.71a
55.33b
54.22c
103.55b
104.78b
c
146.83b
155.11b
64 DTN
33.25
25.65b
48.05c
55.71c
97.56b
101.68c
139.51b
145.74b
SW Makarfi 2006
37.42
24.41b
62.17a
63.34b
129.35a
114.47b
168.54a
168.91a
SW Dansadau 2007
38.30
28.63a
59.97a
b
69.58a
127.01a
132.07a
177.17a
177.61a
SED
3.211
0.916
2.942
1.748
4.366
5.207
3.753
5.630
LSD(0.05)
ns
2.240
7.200
4.276
10.683
12.742
9.184
13.775
Fertilizer (F) (kg N ha
-
1
)
0
34.10
25.64
48.68c
48.46b
84.98c
93.03b
127.04b
122.74c
40
38.17
26.01
60.53a
63.70a
116.62c
123.96a
161.26a
169.90a
b
80
36.60
28.74
53.21b
c
66.48a
119.75a
b
117.57a
165.83a
170.48a
b
120
36.08
27.93
58.91a
b
64.86a
122.47a
b
120.93a
167.75a
182.17a
160
39.86
25.93
60.56a
60.05a
128.02a
110.76a
168.19a
163.92b
SED
2.206
1.807
2.970
3.701
4.709
6.958
5.306
8.791
LSD(0.05)
ns
ns
6.049
7.539
9.592
14.172
10.807
17.906
Interaction
V × F
ns
ns
ns
ns
∗
∗
ns
ns
Means followed by the same letters are not significantly different from each other at 5% probability level. LSD(0.05): least significant difference at 5% probability level. SED: standard error of difference. ∗ denotes significance at 5% probability level. ns: not significant.At the Ilorin experimental site, no significant difference was observed among the varieties in the growth indices, except LAI where the highest value was recorded for the variety 64 DTN (Table3(a)). At the Ejiba experimental site, NTJ-2 had the highest LAI but the value did not differ significantly from that of 64 DTN and SW Dansadau 2007 (Table 3(b)). Apart from LAI, significant differences were observed in the LAR and NAR of the varieties at the Ejiba site. The highest LAR was observed in 64 DTN and the highest NAR was observed in SW Makarfi 2006. LAI was observed to increase with increase in nitrogen fertilizer application at the Ilorin site, with the highest LAI obtained with the application of 160 kg ha−1. Singh et al. [26] reported an increase in the leaf area index of sweet sorghum with increase in N fertilizer application. The trend of LAI in response to N fertilizer at the Ejiba site was slightly different, where 40, 80, and 120 kg N ha−1 resulted in similar LAI. This could be as a result of higher native N in Ejiba. The highest LAR was observed in the control, and the least with the application of 120 kg N ha−1 at the Ilorin site. Similar results have been reported for maize in which LAR value was higher in the control (0 kg N ha−1) than with the application of N fertilizer [27]. Nitrogen fertilizer application did affect the LAR significantly at the Ejiba site. The highest NAR and CGR values were obtained with the application of 120 kg N ha−1 at the Ilorin site, while the highest values for these indices were obtained with the application of 40 kg N ha−1 at the Ejiba site. No significant effect of N application on RGR was observed at both sites.Table 3
(a) Main effects of variety and N fertilizer on the leaf area index (LAI), leaf area ratio (LAR, cm2 g−1), net assimilation rate (NAR, g m−2 day−1), relative growth rate (RGR, g g−1 day−1), and crop growth rate (CGR, g m−2 day−1) of sweet sorghum at the Ilorin experimental site. (b) Main effects of variety and N fertilizer on the leaf area index (LAI), leaf area ratio (LAR, cm2 g−1), net assimilation rate (NAR, g m−2 day−1), relative growth rate (RGR, g g−1 day−1), and crop growth rate (CGR, g m−2 day−1) of sweet sorghum at the Ejiba experimental site.
(a)
Treatment
LAI
LAR
NAR
RGR
CGR
Variety (V)
NTJ-2
2.31b
169.4
7.26
0.088
14.24
64 DTN
2.51a
168.6
7.45
0.089
15.69
SW Makarfi 2006
1.96c
151.2
7.69
0.079
13.88
SW Dansadau 2007
2.21b
150.6
8.05
0.083
16.26
SED
0.064
7.54
0.514
0.006
0.818
LSD(0.05)
0.158
ns
ns
ns
ns
Fertilizer (F) (kg N ha
-
1
)
0
1.53c
179.8a
6.36d
0.083
8.36c
40
2.28b
160.3b
7.43b
c
0.082
14.84b
80
2.11b
163.3b
6.81c
d
0.080
12.72b
120
2.61a
143.9c
9.02a
0.090
19.79a
160
2.71a
152.4b
c
8.43a
b
0.088
19.37a
SED
0.127
6.15
0.514
4.516
1.148
LSD(0.05)
0.259
12.52
1.047
ns
2.339
Interaction
V × F
∗
∗
ns
ns
ns
∗
∗
Means followed by the same letters are not significantly different from each other at 5% probability level. LSD(0.05): least significant difference at 5% probability level. SED: standard error of difference. ∗
∗ denotes significance at 1% probability level. ns: not significant.
(b)
Treatment
LAI
LAR
NAR
RGR
CGR
Variety (V)
NTJ-2
1.96a
146.9b
15.95c
0.113
26.08
64 DTN
1.81a
b
159.1a
17.21b
c
0.118
26.74
SW Makarfi 2006
1.54b
135.4c
22.28a
0.118
31.04
SW Dansadau 2007
1.91a
129.9c
19.81a
b
0.112
33.90
SED
0.114
4.03
1.382
0.003
3.816
LSD(0.05)
0.278
9.86
3.381
ns
ns
Fertilizer (F) (kg N ha
-
1
)
0
1.36c
150.0
15.60d
0.106
19.35c
40
2.00a
142.5
21.28a
0.121
36.79a
80
1.93a
b
142.5
18.48b
c
0.117
29.64b
120
2.03a
129.3
20.90a
b
0.115
35.92a
160
1.69b
149.9
17.80c
d
0.116
25.49b
SED
0.131
9.28
1.282
0.0058
2.918
LSD(0.05)
0.266
ns
2.612
ns
5.943
Interaction
V × F
ns
ns
ns
ns
∗
Means followed by the same letters are not significantly different from each other at 5% probability level. LSD(0.05): least significant difference at 5% probability level. SED: standard error of difference. ∗ denotes significance at 5% probability level. ns: not significant.Variations were observed in fresh stalk yield and average stalk length among the varieties, with the variety SW Dansadau 2007 having the highest values at both experimental sites (Table4). The variety 64 DTN had the highest average stalk girth (1.68 cm) at both experimental sites, but no significant difference in the ASG values of the varieties was observed at the Ejiba site. The application of 80, 120, and 160 kg ha−1 nitrogen fertilizer rates resulted in similar fresh stalk yield at both experimental sites. The longest stalks were obtained with the application of 40 kg N ha−1 at both sites while the application rate of 120 kg ha−1 resulted in the thickest stalks at both sites (Table 4). Although no clear-cut trend could be identified with respect to the effects of nitrogen fertilizer in these parameters, nitrogen fertilizer application significantly improved the performance of the crop over control. This is as a result of the sum total of the effects of N fertilizer on the growth of the crop.Table 4
Main effects of variety and N fertilizer on the fresh stalk yield (FSY, t ha−1), average stalk length (ASL, cm), and average stalk girth (ASG, cm) of sweet sorghum at the Ilorin (ILR) and Ejiba (EJB) experimental sites.
Treatment
FSY
ASL
ASG
ILR
EJB
ILR
EJB
ILR
EJB
Variety (V)
NTJ-2
20.09c
19.26b
132.3c
152.8b
1.52b
1.41
64 DTN
25.32a
19.49b
125.1c
141.4b
1.68a
1.48
SW Makarfi 2006
22.59b
18.18b
148.1b
146.5b
1.51b
1.36
SW Dansadau 2007
27.75a
25.21a
166.3a
182.3a
1.48b
1.42
SED
1.02
1.11
3.05
4.65
2.24
0.038
LSD(0.05)
2.49
2.72
7.46
11.39
5.49
ns
Fertilizer (F) (kg N ha
-
1
)
0
15.43c
16.45b
130.9c
143.4c
1.31d
1.29b
40
23.69b
22.69a
151.0a
167.4a
1.56b
c
1.45a
80
27.41a
20.85a
143.8a
b
152.5b
c
1.50c
1.45a
120
27.22a
21.91a
139.8b
160.4a
b
1.75a
1.47a
160
25.95a
20.78a
149.1a
155.0b
1.62b
1.44a
SED
0.79
1.67
3.85
4.50
4.24
4.63
LSD(0.05)
1.61
3.39
7.83
9.16
8.63
9.43
Interaction
V × F
∗
∗
∗
ns
∗
∗
ns
ns
Means followed by the same letters are not significantly different from each other at 5% probability level. LSD(0.05): least significant difference at 5% probability level. SED: standard error of difference. ∗ and ∗
∗ denote significance at 5% and 1% probability levels, respectively. ns: not significant.Table5 reveals that, apart from brix at the Ejiba site, the variety SW Dansadau 2007 had the highest brix, juice yield, and ethanol yield values at the two experimental sites. The table also shows that the application of 120 kg N ha−1 resulted in the highest values in these parameters except juice yield at the Ejiba site. The value of ethanol yield is a direct result of brix value and the juice yield, which also correlates with the fresh stalk yield of the crop [22]. High ethanol yield can be obtained, as demonstrated by this study, by nitrogen application and by breeding for sweet sorghum strains with long and thick stalks without compromising juice quality such as brix.Table 5
Main effects of variety and N fertilizer on the brix (%), juice yield (JY, t ha−1), and ethanol yield (EY, L ha−1) of sweet sorghum at the Ilorin (ILR) and Ejiba (EJB) experimental sites.
Treatment
Brix
JY
EY
ILR
EJB
ILR
EJB
ILR
EJB
Variety (V)
NTJ-2
12.0d
15.0a
12.92d
12.20b
689.6c
802.8a
64 DTN
13.0c
15.6a
16.06b
12.57b
940.3b
866.1a
SW Makarfi 2006
13.5b
12.3b
14.54c
12.21b
872.4b
656.8b
SW Dansadau 2007
15.5a
12.2b
17.49a
16.42a
1197.5a
885.5a
SED
0.15
0.39
0.56
0.69
41.15
43.90
LSD(0.05)
0.36
0.96
1.37
1.69
100.69
107.42
Fertilizer (F) (kg N ha
-
1
)
0
10.9d
11.4c
9.76d
10.27b
465.3d
508.5b
40
12.5c
13.9b
14.90c
14.58a
829.1c
870.8a
80
14.6b
14.3b
17.24a
b
13.76a
1114.4a
863.8a
120
15.1a
15.1a
17.72a
14.33a
1183.9a
930.5a
160
14.4b
14.1b
16.64b
13.82a
1032.0b
840.4
SED
0.24
0.22
0.50
1.07
35.84
71.08
LSD(0.05)
0.49
0.45
1.01
2.18
73.00
144.79
Interaction
V × F
∗
∗
∗
∗
∗
∗
∗
∗
∗
∗
Means followed by the same letters are not significantly different from each other at 5% probability level. LSD(0.05): least significant difference at 5% probability level. SED: standard error of difference. ∗ and ∗
∗ denote significance at 5% and 1% probability levels, respectively. ns: not significant.


## 4. Conclusion

The outcome of this study shows that application of nitrogen fertilizer enhanced the growth and ethanol yield of sweet sorghum compared with the control. Variations in terms of growth and ethanol yield were also observed among the four varieties studied, with the variety SW Dansadau 2007 having the best performance, especially in ethanol yield. The application of 120 kg N ha−1 resulted in the best growth response and ethanol yield. The study however also revealed that the fertilizer rate of as low as 40 kg N ha−1 would also result in reasonable performance of the crop in the areas of this study, especially under favourable environmental conditions.



---

*Source: 8329754-2016-09-18.xml*