Research Article Volume 5 Issue 5
1Department of Agronomy, Sher-e-Bangla Agricultural University, Dhaka
2Hiroshima University, Japan
3The United Graduate School of Agricultural Science, Ehime University, Japan
Correspondence: Mehraj H, The United Graduate School of Agricultural Science, Ehime University, Ehime 790-8556, Japan
Received: July 02, 2016 | Published: December 22, 2016
Citation: Ullah SS, Ruhul AAKM, Roy TS, et al. Effect of nitrogen sources for spikelet sterility and yield of boro rice varieties. Adv Plants Agric Res. 2016;5(5):614-622. DOI: 10.15406/apar.2016.05.00192
This research work was carried out to determine the suitable nitrogen source for increasing the grain yield by reducing spikelets sterility in boro rice. The experiment comprised four nitrogen sources such as no nitrogen (T0), BRRI recommended dose of prilled urea (T1), Govt. approved dose of mixed NPK (T2) and BARC recommended dose of USG (T3), and four varieties viz. BRRI dhan29 (V1), BRRI dhan58 (V2), BADC SL8H (V3) and Heera (V4). The application of USG showed the highest grain yield (8.6 t/ha) and the lowest percentage of spikelet sterility than any other nitrogen sources. All the studied characters except leaf area, dry matter weight and harvest index varied significantly among the varieties. This is mainly attributable to the highest number of filled grains (98.8/panicle) with markedly lower level of spikelet sterility (7.3%) was found from BRRI dhan29. The combination of the USG application and BRRI dhan29 had the higher performance in terms of producing the highest grain yield by significant reduction of spikelet sterility among the interaction effects.
Keywords: oryza sativa, n-sources, varieties, sterility, yield
SAU, sher-e-bangla agricultural university; BRRI, Bangladesh rice research institute; BAD, Bangladesh agricultural development corporation; BARC, Bangladesh agricultural research council; AEZ, agro ecological zones; USG, urea super granule, DAT, days after transplanting
Rice yield can be increased in many ways such as developing new high yielding varieties or adopting proper agronomic management to the existing varieties. Proper fertilization is an important management practice to increase rice yield. Proper fertilization can markedly increase the yield and improve the quality of rice.1 Nitrogenous fertilizer has immense effect on rice yield throughout the positive influence on the production of effective tillers.2 Nitrogen not only enhances the yield of rice but also reduces the spikelet sterility. Nitrogen is required in adequate amount at early, at mid tillering and panicle initiation stage for better grain development.3,4 The soil nitrogen status of Bangladesh is also very low due to warm climate as well as extensive cultivation practices without addition of manures. The nitrogen efficiency, especially of urea fertilizer, is very low in rice cultivation. Nitrogen losses ranged from 2.82-5.07% in rice field.5 The use of USG and Mixed fertilizer has often been advocated to minimize nitrogen losses because organic manures act as a great source of plant nutrients, especially of N, P, K and S, and also prevents leaching loss of the nutrients. USG @ 120 kg N ha-1 was the best in producing the yield and yield attributes of rice.5 Prilled urea also plays a vital role in improving physical, chemical and biological properties of the soil and ultimately enhances crop production. Application of heavy nitrogen increases tillering as well as spikelet number per plant thus reduces the number of engorged pollen grains per anther and leading into increased spikelet sterility.6 This study was undertaken to evaluate the response of different varieties with the application of different nitrogen sources for obtaining optimum yield by reducing spikelet sterility of boro rice.
Experimental period: The experiment was conducted at the Agronomy Farm of SAU, Dhaka, Bangladesh during the Boro season of December 2012 to May 2013.
Treatments and design: Four different nitrogen source viz. No nitrogen (To), BRRI recommended dose of prilled urea (T1), recommended dose of mixed NPK (T2), BARC recommended dose (66 kg N/ha) of USG (T3) and four varieties viz. Heera (V1), BADC SL8H (V2), BRRI dhan58 (V3) and BRRI dhan29 (V4) were used in the experiment. The BRRI recommended dose of urea in Madhupur tract (AEZ 28) for hybrid and inbred varieties are 150 and 120 kg ha-1 respectively. BARC recommended dose of USG is 66 kg ha-1. Mixed NPK dose was 30-35 kg ha-1. The experiment was laid out following split plot design with three replications where main plot was for nitrogen source and subplot was for variety. The size of the unit plot was 4 m x 2.5 m with a space between replications 1.0m and unit plots 0.50m.
Planting Material: High yielding variety BRR1 dhan29 and BRRI dhan58 and hybrid variety BADC SL 8H and Heera of boro season were used as test crop. BRRI dhan29 and BRRI dhan58 were developed by BRRI, Gazipur, Bangladesh. The grains of BRRI dhan29 and BRRI dhan58 are medium-slender with light-golden husks. BADC SL8H was introduced in BADC and Heera was introduced by Supreme Seed Company Ltd. from China. The grains of BADC SL8H are golden, slightly slender and comparatively larger in size. The grains of Heera are medium, thick with light golden husks.
Collection and preparation of initial soil sample: The initial soil samples were collected before land preparation from a 0-15 cm soil depth by means of an auger from different location covering the whole experimental plot and mixed thoroughly to make a composite sample. After collection of soil samples, the plant roots, leaves etc. were picked up and removed. Then the sample was air-dried and sieved through a sieve and stored in a clean plastic container for physical and chemical analysis.
Fertilization: TSP, MP, gypsum and zinc sulphate were applied at the rate of 148-178-100-15 kg ha-1, respectively except in the T2 treatment plot.7 There were two rates of urea for T1 treatment plot such as 260 kg ha-1 for inbred and 325 kg ha-1 for hybrid rice. Full dose of TSP, MP, gypsum, zinc sulphate and cow dung (10 t ha-1) were applied as basal dose at final land preparation of individual plots. Urea was applied to T1 treatment plot in three equal splits on 15, 30 and 55 DAT for BRRI dhan29 and BRRI dhan58 and in case of hybrid varieties, the splits were 0, 21 and 42 DAT, respectively.
Uprooting of seedlings: Seedlings of 40 for BRRI dhan29 and BRRI dhan58 while 30 days old hybrid varieties, respectively were uprooted from the nursery beds carefully.
Transplanting: Seedlings were transplanted on December 25, 2012 in the well-puddled experimental plots. Spacing was given 25cmx15cm for BRRI dhan29 and BRRI dhan58 as well as 20cmx15cm for hybrid varieties. Two seedlings for BRRI dhan29 and BRRI dhan58 and one seedling for hybrid varieties were transplanted hill-1.
Gap filling: Seedlings of some hills died off and these were replaced by gap filling after one week of transplanting with seedlings from the same source.
Weeding: Manual weeding was done for three times during at 16 DAT, 31 DAT and 56 DAT followed by first, second and third top dressing of urea.
Irrigation and drainage: Irrigation was done by alternate wetting and drying from transplanting to maximum tillering stage. From panicle initiation (PI) to hard dough stage, a thin layer of water (2-3 cm) was kept on the plots. Water was removed from the plots during ripening stage.
Plant protection measures: Plants were infested with rice stem borer and leaf hopper to some extent which was successfully controlled by applying three times of Diazinon on 14 and 25 March, 2013 and one times of Ripcord on 02 April 2013.
Harvesting and processing: The crop of each plot was harvested separately on different dates at full maturity when 80% of the grains become golden yellow in color. Hills from the central 4 m2 area of each plot were harvested for collecting data on crop yield. The harvested crop of each plot was bundled separately, tagged properly and brought to the clean threshing floor. The crops were threshed by pedal thresher and then grains were cleaned. The grain and straw weights for each plot were recorded after proper sun drying and then converted into ton hectare-1. The grain yield was adjusted at 14% moisture level.
Recording of data: Data were collected on the following parameters - plant height, number of tillers, number of effective tillers, number of non-effective tillers, number of filled grains, number of unfilled grains, spikelet sterility, spikelet sterility at the top, middle and bottom portion of panicle, 1000-grains weight, grain yield, straw yield, biological yield, harvest Index.
The percentage of sterility was calculated by following formula
Sterility (%) = (Number of sterile spikelet per panicle ÷ number of total spikelet per panicle) X 100
From the sample hills, each panicle was divided into three equal parts by eye estimation. The apical, middle and lower parts were termed as top, middle and bottom portion of panicle, respectively. Percentage of sterility for each portion was calculated using following formulae:
1000-grain weight: One thousand clean dried (at 14% moisture level) grains from the seed stock of each plot were counted separately and weighed.
Grain and straw yield: Grain and straw obtained from the central 4m2 areas of each plot were sun dried, cleaned, weighed separately and finally converted into t/ha. Grains yield were measured by adjusting moisture level at 14%.
Biological yield: Grain yield and straw yield were together regarded as biological yield i.e., Biological yield (t/ha) = Grain yield (t/ha) + Straw yield (t/ha)
Harvest index: It was calculated with the following formula:
Harvest Index (%) = (Grain yield ÷ Biological yield) x 100
Statistical analysis: Data were analyzed following the analysis of variance (ANOVA) technique and the mean differences were adjudged at 5% level of probability using DMRT with a computer operated program named MSTAT-C.8
Growth characters
Plant height: Effect of nitrogen dose and varieties for plant height showed in Figure 01. Tallest plant was recorded from T3 (97.7 cm at harvest), V4 (96.8 at harvest) and T3V4 (100.2 cm at harvest) whereas shortest from T0 (86.6 cm at harvest), V1 (87.0 cm at harvest) and T0V1 (80.5 cm at harvest) at different DAT (Figure 1). Interaction of nitrogen sources and variety showed an increasing trend with advances of growth period in respect of plant height (Figure 1).
Figure 1 Results for rice plant height due to different
Here, V1 = Heera, V2 = SL8H, V3 = BRRI dhan58, V4 =BRRI dhan29, and T0 =Control, T1 =Prilled Urea, T2 = Mixed Urea, T3 = USG.
The rate of increase was higher in early growth stages (25-85 DAT) then increasing rate was much slower up to 105 DAT. Meena et al.,9 Sahrawat et al.10 and Thakur11 were observed higher plant height with the higher doses of nitrogen. Tallest plant was found from. Plant height differed significantly among rice varieties.12-15
Leaf number, leaf area, and dry matter weight: Number of leaves varied significantly among the nitrogen sources, varieties and their combinations. The maximum number of leaves was found from T3 (142.4/hill), V4 (123.1/hill) and T3V4 (157.6/hill) whereas minimum from T0 (85.6/hill), V2 (94.0/hill) and T0V2 (68.8/hill) (Figure 2). Significant variation was not found for the nitrogen sources, varieties but varied among the combination of those treatments. However, the maximum leaf area was observed from T3 (28.3 cm2), V3 (24.8 cm2) and T3V3 (30.6 cm2) while minimum from T0 (20.3 cm2), V2 (23.8 cm2) and T0V2 (19.3 cm2) (Figure 3). The maximum dry matter was found for T3 (42.0 g/hill), V4 (41.5 G/hill) and T3V4 (44.0 g/hill) whereas minimum from T1 (35.8/hill), V1 (37.0/hill) T1V1 (33.2/hill) at 105 DAT (Figure 4).
Figure 2 Effect of different
Here, V1 = Heera, V2 = SL8H, V3 = BRRI dhan58, V4 =BRRI dhan29, and T0 =Control, T1 =Prilled Urea, T2 = Mixed Urea, T3 = USG.
Figure 3 Effect of different
Here, V1 = Heera, V2 = SL8H, V3 = BRRI dhan58, V4 =BRRI dhan29, and T0 =Control, T1 =Prilled Urea, T2 = Mixed Urea, T3 = USG.
Figure 4 Effect of different
Here, V1 = Heera, V2 = SL8H, V3 = BRRI dhan58, V4 =BRRI dhan29, and T0 =Control, T1 =Prilled Urea, T2 = Mixed Urea, T3 = USG
Yield components of boro rice
Effective tillers: Significant variation was found for number of effective tiller among the nitrogen sources, varieties and those combinations. The highest number of the effective tiller was found for T3 (15.8/hill), V4 (14.3/hill) and T3V4 (16.9/hill) whereas lowest from T0 (9.3/hill), V1 (12.2/hill) and T0V1 (8.6/hill) (Table 1). Increasing levels of nitrogen increased the number of effective.28 These findings collaborate with those reported by BINA,16 Om et al.17 and Bhowmick and Nayak18 who stated that effective tillers/hill was varied with variety.
Non-effective tillers: The number of non-effective tiller was varied significantly for nitrogen sources and combinations but not varied due to the variation of variety. The maximum number of non-effective tiller was found for T0 (1.5/hill) and T0V2 (1.7/hill) while minimum for T3 (0.6/hill) and T3V2 (05/hill) (Table 1).
Filled grains: Nitrogen sources, varieties and combinations showed significant variation on production of filled grains. Maximum number of filled grain was for the T3 (102.1/panicle), V4 (98.8/panicle) and T3V4 (115.1/panicle) whereas minimum for T0 (69.5/panicle), V2 (82.1/panicle) and T0V2 (63.2/panicle) (Table 1).
Unfilled grains: Nitrogen sources, varieties and combinations of these treatments had significant influence on unfilled grains panicle (Table 1). Lowest number of unfilled grain was obtained from T3 (6.7/panicle), V1 (7.5/panicle) and T3V1 (5.0/panicle) while highest T0 (14.7/panicle), V2 (13.7/panicle) and T0V4 (19.2/panicle) (Table 1). The interaction result showed that interaction of BRRI dhan29 with all the nitrogen doses produced higher number of unfilled grains/panicle (ranged 5.0-19.7). The result was supported by BRRI19 that no nitrogen produced the highest number of unfilled grains/panicle in boro season.
1000–grain weight (g): The weight of 1000 grains was significantly influenced by the different nitrogen sources, varieties and interaction of these treatments (Table 1). The highest 1000-grains weight found for T3 (22.7 g), V2 (23.1 g) and T3V1 (23.8 g) whereas lowest for T0 (21.5 g), V1 (20.8 g) and T0V4 (20.4 g) (Table 1). The result showed that V3 produced 9.9%, 4.2% and 2.3% heavier seed than V1, V2, and V3 respectively. The result fairly agreed with the findings of Mohaddesi et al.20 but Rahman21 didn’t found any influence.
Treatments |
Number of tillers/hill |
Number of grains/panicle |
|||||||||
Effective tillers |
Non-effective |
Filled |
Unfilled |
1000- seed Weight (G) |
|||||||
Nitrogen sources |
|||||||||||
T0 |
9.3 |
c |
1.5 |
a |
69.5 |
c |
14.5 |
a |
21.5 |
d |
|
T1 |
13.9 |
b |
1.3 |
b |
89.6 |
b |
11.6 |
b |
21.9 |
c |
|
T2 |
14.2 |
b |
1.2 |
b |
90.8 |
b |
10.8 |
b |
22.3 |
b |
|
T3 |
15.8 |
a |
0.6 |
c |
102.1 |
a |
6.7 |
c |
22.7 |
a |
|
Varieties |
|||||||||||
V1 |
12.2 |
c |
1.2 |
a |
84.8 |
bc |
7.5 |
d |
22.5 |
b |
|
V2 |
13.3 |
b |
1.2 |
a |
82.1 |
c |
9.5 |
c |
23.1 |
a |
|
V3 |
13.6 |
b |
1.1 |
a |
86.3 |
b |
12.8 |
b |
22.1 |
b |
|
V4 |
14.3 |
a |
1.2 |
a |
98.8 |
a |
13.7 |
a |
20.8 |
c |
|
Combinations |
|||||||||||
T0V1 |
8.6 |
j |
1.6 |
b |
73.4 |
fg |
8.9 |
ef |
21.8 |
d-f |
|
T0V2 |
9 |
ij |
1.7 |
a |
63.2 |
h |
13.1 |
cd |
22.5 |
b-d |
|
T0V3 |
9.6 |
ij |
1.5 |
b |
66.7 |
gh |
16.7 |
b |
21.4 |
e-g |
|
T0V4 |
9.9 |
i |
1.4 |
bc |
74.9 |
f |
19.2 |
a |
20.4 |
g |
|
T1V1 |
12.8 |
h |
1.3 |
cd |
85.4 |
e |
8 |
ef |
21.7 |
d-f |
|
T1V2 |
13.8 |
fg |
1.3 |
cd |
83.1 |
e |
9.6 |
e |
23 |
a-c |
|
T1V3 |
14.1 |
d-g |
1.2 |
d |
87.8 |
e |
14.4 |
c |
22.2 |
c-e |
|
T1V4 |
15 |
c-e |
1.4 |
bc |
102.1 |
bc |
14.3 |
c |
20.8 |
fg |
|
T2V1 |
13.2 |
gh |
1.3 |
cd |
85.1 |
e |
7.8 |
e-g |
22.8 |
b-d |
|
T2V2 |
14.1 |
e-g |
1.2 |
d |
85.6 |
e |
9.3 |
ef |
23.2 |
a-c |
|
T2V3 |
14.5 |
d-e |
1.2 |
d |
89.3 |
de |
12.2 |
d |
22.2 |
c-e |
|
T2V4 |
15.2 |
b-d |
1.3 |
cd |
103.2 |
b |
14 |
cd |
20.9 |
fg |
|
T3V1 |
14.2 |
d-g |
0.6 |
e |
95.1 |
cd |
5.5 |
h |
23.8 |
a |
|
T3V2 |
16.1 |
ab |
0.5 |
e |
96.5 |
b-d |
5.9 |
gh |
23.5 |
ab |
|
T3V3 |
16 |
abc |
0.7 |
e |
101.5 |
bc |
7.9 |
ef |
22.5 |
b-d |
|
T3V4 |
16.9 |
a |
0.7 |
e |
115.1 |
a |
7.5 |
fg |
20.9 |
fg |
|
CV% |
4.3 |
7.9 |
4.6 |
9.8 |
2.5 |
Table 1 Effect of nitrogen sources, varieties and combination of these two treatments on yield contributing characteristics of rice
Values in column having different letter are significantly different and same letter are not significantly different at 0.05 level of probability by DMRT.
Spikelet sterility
Total Spikelet Sterility: Nitrogen source, varieties and those combinations exerted significant variation on spikelet sterility (%) (Table 2). Result showed that sources of nitrogen reduced the spikelet sterility significantly. The spikelet sterility was lowest for T3 (5.0%), V4 (7.31%) and T3V4 (4.1%) while highest for T0 (14.9%), V2 (11.7%) and T0V2 (18.1%) (Table 2). USG, mixed NPK and prilled urea reduced the sterility over control treatment. SL8H showed the highest spikelet sterility compared to other varieties.
Treatments |
Spikelet sterility (%) of panicle At |
|||||||
Total |
Top portion |
Middle portion |
Bottom portion |
|||||
Nitrogen sources |
||||||||
T0 |
14.9 |
a |
3.4 |
a |
5.1 |
a |
6.3 |
a |
T1 |
10.3 |
b |
2.3 |
b |
3.7 |
b |
4.3 |
b |
T2 |
9.6 |
c |
2.1 |
b |
3.2 |
c |
4.2 |
b |
T3 |
5 |
d |
1.3 |
c |
1.2 |
d |
2.6 |
c |
Varieties |
||||||||
V1 |
11.1 |
b |
3 |
a |
3.8 |
a |
4.3 |
b |
V2 |
11.7 |
a |
2.3 |
b |
3.4 |
b |
6 |
a |
V3 |
9.7 |
c |
2.1 |
b |
3.3 |
b |
4.3 |
b |
V4 |
7.3 |
d |
1.8 |
c |
2.7 |
c |
2.9 |
c |
Combinations |
||||||||
T0V1 |
17 |
a |
5.1 |
a |
6 |
a |
8.3 |
a |
T0V2 |
18.1 |
b |
3.1 |
b |
5.5 |
b |
6.9 |
b |
T0V3 |
14.7 |
c |
3.4 |
b |
5.1 |
c |
6.1 |
c |
T0V4 |
10 |
f |
2.3 |
de |
3.8 |
e |
4.1 |
e |
T1V1 |
11.8 |
d |
3 |
b |
4.1 |
d |
5.4 |
d |
T1V2 |
11.9 |
d |
2.3 |
de |
4.1 |
de |
4.5 |
e |
T1V3 |
9.6 |
fg |
2.1 |
ef |
3.2 |
f |
4.5 |
e |
T1V4 |
7.8 |
h |
1.7 |
fg |
3.3 |
f |
2.9 |
f |
T2V1 |
10.6 |
e |
2.7 |
c |
4 |
de |
5.4 |
d |
T2V2 |
11.3 |
d |
2.4 |
cd |
2.9 |
g |
4.1 |
e |
T2V3 |
9.4 |
g |
1.8 |
fg |
3.3 |
f |
4.1 |
e |
T2V4 |
7.1 |
i |
1.6 |
g |
2.5 |
h |
2.9 |
f |
T3V1 |
4.4 |
jk |
1.1 |
h |
1.1 |
i |
1.8 |
h |
T3V2 |
6.7 |
i |
1.2 |
h |
1.1 |
i |
4.4 |
e |
T3V3 |
4.9 |
jk |
1.2 |
h |
1.4 |
i |
2.4 |
g |
T3V4 |
4.1 |
k |
1.6 |
g |
1.2 |
i |
1.8 |
h |
CV (%) |
8.5 |
8.4 |
11.9 |
9.4 |
Table 2 Effect of nitrogen sources, varieties and those combinations on spikelet sterility of boro rice
Values in column having different letter are significantly different and same letter are not significantly different at 0.05 level of probability by DMRT
Sterility (%) at the top, middle and bottom portion of panicle: Nitrogen sources, varieties and those combinations showed significant variation for producing the percentage of spikelet sterility at top, middle and bottom portion of panicle (Table 2). In most of the cases, the highest sterility was found at bottom portion and lowest at top portion of panicle whereas middle portion of panicle showed intermediate level of sterility. USG has lowest spikelet sterility in all portions. Highest spikelet sterility was found for Heera for all potions (except bottom portion). In bottom portion SL8H showed the highest spikelet sterility. Hybrid varieties BRRI dhan29 and BRRI dhan58 showed the lower level of spikelet sterility than inbred varieties BRRI dhan29 and BRRI dhan58. The highest sterility was found at bottom portion and lowest at top portion of panicle for all the combined treatments (Table 2).
Yield characters
Grain yield: The maximum grain yield obtained for T3 (8.7 t/ha), V1 (8.2 t/ha) and T3V1 (9.3 t/ha). On the other hand, lowest grain yield was for T0 (6.1 t/ha), V2 (6.8 t/ha) and T0V4 (5.9 t/ha) (Table 3). Improvement of yield component such as number of effective tillers/hill and number of grains/panicle in these treatments ultimately resulted in high yield of grains. BRRI dhan29 showed its superiority in producing highest grain yield which was 17.0%, 10.2% and 7.9% higher than BRRI dhan58, SL8H and Heera, respectively. The results related with the findings of Xie et al.,22,23 Sumit et al.24 and Meena et al.9 who observed yield variations among hybrid and high yielding varieties.
Straw yield: Straw yield varied significantly with the different nitrogen sources, varieties and combination (Table 3). Straw yield was highest for T3 (9.7 t/ha), V1 (8.9 t/ha) and T3V1 (9.9 t/ha) while lowest for T0 (6.2 t/ha), V2 (7.7 t/ha) and T0V2 (5.8 t/ha) (Table 3). Elbadry et al.,25 Meena et al.9 and El-Rewainy26 observed similar view on straw yield due to nitrogen application. The differences in straw yield among the varieties might be attributed to the genetic makeup of the varieties. Patel27 reported variable straw yield among the varieties.
Treatments |
Yield (t/ha) |
Harvest index (%) |
||||||
Grain |
Straw |
Biological |
||||||
Nitrogen sources |
||||||||
T0 |
6.1 |
d |
6.2 |
d |
12.3 |
d |
47.1 |
c |
T1 |
7.1 |
c |
7.9 |
c |
15.1 |
c |
47.3 |
bc |
T2 |
8.2 |
b |
8.6 |
b |
16.8 |
b |
48.8 |
ab |
T3 |
8.6 |
a |
9.7 |
a |
18.3 |
a |
49.3 |
a |
Varieties |
||||||||
V1 |
7.6 |
b |
8 |
b |
15.6 |
b |
48.2 |
NS |
V2 |
7.4 |
b |
7.8 |
b |
15.2 |
b |
48.5 |
NS |
V3 |
6.8 |
c |
7.7 |
b |
14.6 |
c |
47.2 |
NS |
V4 |
8.2 |
a |
8.9 |
a |
17.1 |
a |
48.6 |
NS |
Combinations |
||||||||
T0V1 |
5.9 |
g |
6.3 |
gh |
12.3 |
gh |
48.2 |
ab |
T0V2 |
5.9 |
g |
6 |
h |
11.9 |
h |
48 |
ab |
T0V3 |
5.9 |
g |
5.8 |
h |
11.7 |
h |
43.7 |
c |
T0V4 |
6.6 |
fg |
6.8 |
fg |
13.4 |
fg |
48.4 |
ab |
T1V1 |
7.2 |
ef |
7.5 |
ef |
14.6 |
ef |
49 |
ab |
T1V2 |
6.7 |
e-g |
7.4 |
ef |
14.1 |
ef |
47.2 |
a-c |
T1V3 |
6.6 |
fg |
7.6 |
ef |
14.1 |
ef |
46.5 |
bc |
T1V4 |
8.1 |
b-d |
9.3 |
ab |
17.4 |
b-d |
46.6 |
a-c |
T2V1 |
8.2 |
bc |
8.7 |
bc |
16.9 |
d |
48.7 |
ab |
T2V2 |
8.2 |
bc |
8.4 |
cd |
16.6 |
d |
49.6 |
ab |
T2V3 |
7.4 |
d-f |
7.9 |
de |
15.2 |
ef |
48.3 |
ab |
T2V4 |
8.9 |
ab |
9.4 |
ab |
18.3 |
a-c |
48.7 |
ab |
T3V1 |
9 |
ab |
9.7 |
a |
18.7 |
ab |
48.4 |
ab |
T3V2 |
8.8 |
ab |
9.5 |
ab |
18.3 |
a-c |
49.4 |
ab |
T3V3 |
7.5 |
c-e |
9.6 |
a |
17.2 |
cd |
49 |
ab |
T3V4 |
9.3 |
a |
9.9 |
a |
19.3 |
a |
50.3 |
a |
CV (%) |
7.7 |
8.8 |
7.7 |
10.9 |
Table 3 Effect of nitrogen sources, varieties and those combinations on yield and harvest index of boro rice
Values in column having different letter are significantly different and same letter are not significantly different at 0.05 level of probability by DMRT.
NS, non significant.
Biological yield: Biological yield differed significantly due to the different sources of nitrogen, varieties and those combinations. T3 produced the highest biological yield (18.3 t/ha) and lowest was recorded from T0 (12.3 t/ha) (Table 3). The result agreed with the findings of Ahmed et al.3 who observed the significant effect of nitrogen on biological yield of rice. Biological yield was ranges from 14.6 - 17.1 t/ha (Table 3). The highest and lowest biological yield was obtained from BRRI dhan29 and BRRI dhan58, respectively. The results showed that the interaction between T3V1 gave the highest biological yield (19.3 t/ha) and lowest from T0V2 (11.68 t/ha) (Table 3).
Harvest Index: No significant difference was observed for harvest index due to varietal differences but harvest index varied due to the variation of the treatments and combination of the nitrogen sources and varieties. Maximum harvest index was found for T3 (49.3%), V4 (48.6%) and T3V4 (50.3%) while lowest for T0 (47.1%), V3 (47.2%) and T3V3 (43.7%) (Table 3).
Results of the present study for suggest using of USG, BRRI dhan29 and those treatments combinations. Both nitrogen source USG and BRRI dhan29 variety are superior than others for maintaining minimum level of spikelet sterility thus leading to the maximum yield. The study also suggests that hybrid varieties are better than inbreed varieties for producing more fertile spikelets of rice.
The authors are grateful to the Department of Agronomy, Sher-e-Bangla Agricultural University, Dhaka, Bangladesh for supporting all of the materials for this research work. Authors are also thankful to the staff and farm members of the same department.
The author declares no conflict of interest.
©2016 Ullah, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.