Research Article | | Peer-Reviewed

Effect of Various Weeds Management Practices on Yield and Yield Components of Tef (Eragrostis tef (Zucc.) Trotter) in Buno Bedele Zone

Received: 28 January 2026     Accepted: 12 February 2026     Published: 28 May 2026
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Abstract

The effect of weed is one of the important limiting factors for crop growth and productivity in agricultural crop production. Weeds compete with tef for nutrients, soil moisture, sunlight and space. The magnitude of losses would depend upon the type of weeds and duration of competition with the crops. Mechanical and cultural methods sometimes do not work due to fact that there is a morphological similarity of some major weeds of the crops. Combining cultural methods, pre- or post-emergence application of herbicides and hand weeding has been found to be effective and economical. Then; there should be a little information on the “Effect of various Weeds management practices on yield and yield components of Tef”. Hence, this study was conducted in Buno Bedele zone (Gachi district) and Bedele (BeARC, Ilke sub-site) district; Southwestern Oromia to evaluate effectiveness of weed management practices on weeds, and growth, yield and yield components of tef and to determine optimum rates of herbicides, and their combination with hand weeding and hoeing for weed management in tef at Southwestern Oromia. The experiment was carried out in randomized completely block design (RCBD) with three replications. A total of ten weed control treatments were evaluated. The two years data (2023 and 2024) were noticed highly significant difference on the assessed parameters of weed, Yield and yield components of tef. The highest grain yield, Gross return and net return was obtained from Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS. Finally; using Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS is an economical and/or recommendable for tef production.

Published in Journal of Plant Sciences (Volume 14, Issue 3)
DOI 10.11648/j.jps.20261403.12
Page(s) 124-132
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Herbicide, Post-emergence, Tef, Yield, Weed Control, Weed

1. Introduction
Tef (Eragrostis tef) is a self-pollinated, annual grass under family of Poaceae that is used throughout the world as grain for human consumption and as forage for livestock . Tef is a staple cereal grain which is well adapted, endemic and diversified to Ethiopia, and it has been widely produced for many centuries . It is a very important crop in Ethiopia, both in terms of production and consumption , and supports more than 60-75% of Ethiopia’s population as staple and co-staple food. Interest in tef has increased noticeably due to its very attractive nutritional profile and gluten-free nature of the grain . Ethiopian farmers grow this crop for a number of merits, which is mainly attributed to the socioeconomic, cultural and agronomic benefits . Despite of its importance, the average national yield of this crop is very low in Ethiopia possibly due to both biotic and abiotic factors. Weed is among a key biotic factors or pests that contribute to huge yield losses in tef crop. According to the low average grain yield (0.7 ton ha−1) of tef in Ethiopia is attributed to low soil fertility, and inappropriate tillage and weeds control practices. Lower tef grain yield is mainly attributed to inappropriate tillage and weed control practices . Other studies also added that weed is one of the key limiting factors for attaining higher tef yield . In Ethiopia, tef faces challenges from several weeds throughout its growing period that lead to decreased yields . On the other hand, the capacity of tef to compete with weeds, which is one of the main yield limiting biotic factors, is poor . The tef yield losses due to weeds range between 23-65% in Ethiopia . Furthermore, weed competition and control have major effects on yields and economic returns of the crop in the country . Hence, appropriate weed management is necessities to reduce yield losses and attain the potential yield. According to weed control treatments significantly increase the yield and yield components of tef crop over weedy plots. There are many direct and cultural control methods used by farmers to reduce weed competition, most of which are included in agronomic practices with tef . The most common include frequent tillage before sowing the crop, hand weeding, and to some extent, the use of post-emergence herbicides. Hand weeding is the most widely used practice to control weeds in tef. Many farmers pick traditionally by their hands where it is tiresome activity and labor shortage as a constraint is being increased . In view of such shortcoming, herbicides (e.g., 2,4-D and MCPA) have been applied or recommended at rate of 1 litter ha-1 to control broad-leaved weeds . Only few herbicides, like Pyroxsulam could provide control for grass and broadleaf weeds; while others like 2, 4-D Amine, Dicamba, Aim and Florasu-fluroxy-pyro give control of broad leaf weeds at a varied level in tef . This suggests that there is a need for selecting herbicides as well as their combination with other methods to control both narrow leaf grasses and broad leaf weeds with understanding of their effects across different soil types and climatic conditions. Despite of suitable environmental condition of Southwestern Oromia high and mid lands, and importance of tef for farmers, weed infestation has been a major production constraint in this area. Though hand weeding is the most widely practiced to control weeds, it is laborious, wearisome, and time consuming option. On the other hand, most of the commercially available herbicides could provide narrow spectrum weed control. Besides, the usage of herbicides of similar activity for a long time could leads to development of herbicide resistance. There was therefore a need to search for revised control methods, notably against grass and a broad leaf weed, such as evaluation of newly introduced herbicides and/or integrating herbicides with hand weeding in tef at Southwestern Oromia. This study was proposed to evaluate effectiveness of some post-emergence herbicides and their combination with integrated hand weeding to weed management.
2. Materials and Methods
2.1. Description of Study Area
The experiment was carried out in main cropping season of 2023 and 2024 in Buno Bedele Zone, Gachi and Bedele (Ilke sub-site) districts.
2.2. Experimental Materials and Design Used
Kora tef variety was used in the experimental study with two (2) post-emergence herbicides, 2, 4-D and Pallas 45 OD used for the study. Each herbicide combination with hand weeding, at 25 and 40 days after sowing (DAS) and weedy check as described in (Table 2). The 10 treatments were arranged in a randomized complete block design (RCBD) with three replications. It was sown (drilled) at 20cm row spacing on the plot size of 4m x 4m = 16m2, and also there was 1m and 1.5m paths between the plots and the blocks, respectively. All herbicides were applied at 30 days after sowing (DAS) as post-emergence onto the weed plants as per the treatment using manual knapsack sprayer. The spray volume of water was 200 liters ha-1.
Table 1. Common, trade and chemical names of the herbicides that used for study.

Common name

Trade name

Chemical name

2, 4 –DEE

Hit 44 (38EC)

2, 4-D [(2, 4-dichlorophenoxy) ethyl easter]

Pallas 45 OD

Pyroxsulam (45-OD)

N-(5, 7-dimethoxy [1, 2, 4] triazolo [1, 5-a] pyrimidin-2-yl)-2- methoxy-4-(trifluoromethyl) pyridine-3-sulonamide

Table 2. Treatments Description/Weed management practices.

Treatment no.

Treatments /Weed management practice

T-1

Pallas 45 OD 0.5lt ha-1

T-2

Pallas 45 OD 0.375lt ha-1

T-3

Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS

T-4

Pallas 45 OD 0.375lt ha-1 + HW @ 40 DAS

T-5

2, 4-D 1.0lt ha-1

T-6

2, 4-D 0.5lt ha-1

T-7

2, 4-D 1.0lt ha-1 + HW @ 40 DAS

T-8

2, 4-D 0.5lt ha-1 + HW @ 40 DAS

T-9

HW 25 and 40 DAS

T-10

Weedy check

2.3. Collected Data
2.3.1. Weed Data
Weed flora and density: The weed species found within the sample quadrate were identified, counted and expressed in m2. Accordingly, the weed density was recorded by throwing a quadrate (0.25 m×0.25 m) randomly at five places in each plot at harvesting (about 15 days before the expected harvest time).
Weed above ground dry biomass (g): The weeds falling within the quadrate were harvested near the soil surface immediately after recording data on weed count and was placed into paper bags separately treatment wise. The samples were sun-dried for 4-5 days and thereafter placed into an oven at 65 °C for 48 hours. The dry weight of each group of weed were taken by an electrical balance and expressed in gm2. The dry weight of weed samples were recorded after air drying for 4-5 days and oven drying at 65° C for 48 hours. The dry weight of each group of weed was taken by an electrical balance and expressed in gm2.
Relative Weed Density (RWD): It was calculated by the formula .
RWD = NPW/NPTW * 100
Where
RWD= Relative weed density,
NPW=Population per unit area of a particular weed species,
NPTW= Total weed species per unit area.
Weed control efficiency (WCE): It was the magnitude of weed reduction due to weed control treatments and calculated by
WCE = (WDC − WDT)/WDC× 100(1)
where
WCE weed control efficiency,
WDC weed dry matter in weedy check,
WDT weed dry matter in a particular treatment.
2.3.2. Crop Data
The tef plant height (cm), panicle length (cm), biomass of the crop, and grain yield (kg) were recorded.
2.4. Economic Analysis
The economic analysis was done to determine the economic feasibility of the treatments following the procedure developed by . Costs of tillage, weeding, and herbicide were taken as variable costs during the experiment, and the prevailing market price of the crop was estimated at the time of crop harvest as a return. Seed yield was also adjusted down by 10%.
2.5. Statistical Data Analysis
Analysis of Variance (ANOVA) of Weed density, dry weight, and weed control efficiency, weed index and Agronomic data were subjected to SAS software program version of 9.3. Mean separation was conducted for significant treatments mean using Least Significance Difference (LSD) at 5% probability level .
3. Result and Discussion
3.1. Effects of Integrated on Weed Management Flora Composition in Tef
In the study field, around 12 weed species belonging to 10 weed families were recorded. The experimental site was dominated by four weed families (Poaceae, Compositae, Brassicaceae & Asteraceae) and three life form/categories (Grass, Sedge and Broad leaved weed) were found in the experiment field. Out of total weeds present in the experimental field 66.7 percent were broad leaved weeds while the rest 25 and 8.3 percent were grass and segde leaved weeds respectively (Table 3).
Table 3. Weed flora composition as affected by integrated weed management in tef.

Botanical Name

Family

Category

Life Cycle

Galinsoga parviflor

Asteraceae

Broad leaf

Annual

Pennisetum clandestium

Poaceae

Grass

Perennial

Centella asiatica L.

Apiaceae

Broad leaf

Perennial

Polygonum Nepalese

Polygonaceae

Broad leaf

Annual

Commelina benghalensis L.

Commelinaceae

Broad leaf

Annual

Snowdenia polystachya

Poaceae

Grass

Annual

Plantago lanceolata L.

Plantaginaceae

Broad leaf

Annual

Cyperus esculentus L.

Cyperaceae

Sedge

Perennial

Trifolium pratense

Leguminosae

Broad leaf

Annual

Setaria pumila

Poaceae

Grass

Annual

Guzotia scabra (Vis.) Chiov.

Composite

Broad leaf

Annual

Spergula arvensis L.

Brassicaceae

Broad leaf

Annual

3.2. Effects of Integrated Weed Management on the Weed Density, Weed Dry Weight, and Weed Control Efficiency in Tef
Relative weed density: All treatments used in this experiment had significant (P < 0.01) effects on weed density, as compared with the weedy check treatment. The highest (35.3 and 40.35) weed density was recorded from the weedy check plot at Gachi and Bedele districts weed management practices respectively (Table 4). The lowest (8.35 and 7.6) weed density was recorded from the Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS at Gachi and Bedele districts weed management practices respectively (Table 4). This result is consistent with , who reported that weed incidence and infestation were higher in the unwedded plot. The integration of chemical and mechanical weed management is superior to the alone use of herbicides and one-time hand weeding.
Weed dry weight: Weed dry weight/biomass was significantly affected by integrated weed management practices. The result of the study was stated that Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS plot gave minimum weed dry weight (5.73 and 6.93) at Gachi and Bedele districts weed management practices respectively (Table 4). The highest (52.9 and 60.4) weed dry weight was recorded from weedy check plot at Gachi and Bedele districts weed management practices respectively (Table 4). The present study is in agreement with the finding of , who reported that the maximum dry weight was recorded in a weedy check plot.
Weed Control efficiency (%): The effect of the treatment was significant on weed control efficiency. The highest (74.01 and 80.8) weed control efficiency was observed in the Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS at Gachi and Bedele districts weed management practices respectively (Table 4), whereas the lowest (0.00 and 0.00) weed control efficiency was observed in the weedy check plot at Gachi and Bedele districts weed management practices respectively (Table 4). This result was similar to report that herbicides supplemented by hand weeding gave higher weed control efficiency, which could be due to the complementary effect of hand weeding and herbicides.
Table 4. Effect of different weed management practices on weed density, weed dry weight and weed control efficiency of Tef field in Gachi and Bedele districts.

Treatments

Gachi district

Bedele district

RWD (%)

WDW

WCE (%)

RWD (%)

WDW

WCE (%)

Pallas 0.5lt ha-1

18.46de

10.30de

63.22ab

21.33cd

11.70efg

70.47bc

Pallas 0.375lt ha-1

25.79bc

14.10d

57.78bc

26.10c

16.70e

63.87c

Pallas 0.5lt ha-1 + HW @ 40 DAS

8.35f

5.73e

74.01a

7.56e

6.93g

80.80a

Pallas 0.375lt ha-1 + HW @ 40 DAS

17.86de

8.73de

65.32ab

16.11d

10.80fg

76.69ab

2, 4-D 1.0lt ha-1

19.89cde

40.70b

47.77cd

23.69c

40.97c

47.40d

2, 4-D 0.5lt ha-1

29.15b

46.93ab

38.39d

34.05ab

49.50b

41.61d

2, 4-D 1.0lt ha-1 + HW @ 40 DAS

14.82e

21.23c

60.15b

15.62d

13.03ef

69.48bc

2, 4-D 0.5lt ha-1 + HW @ 40 DAS

20.83cd

27.63c

55.08bc

24.11c

28.10d

65.20c

HW 25 and 40 DAS

29.35b

23.33c

20.89e

27.74bc

28.40d

31.82e

Weedy check

35.28a

52.90a

0.00f

40.35a

60.40a

0.00f

Grand mean

22.0

25.16

48.3

23.7

26.65

54.73

LSD

5.92

7.044

11.14

7.15

5.33

8.905

CV (0.05)

15.7

16.3

13.5

17.6

11.7

9.5

RWD= Relative Weed Density WDW= Weed Dry Weight WCE= Weed Control Efficient
LSD= List significance difference HW= Hand Weeding DAS= Days after sowing lt= Litre ha= Hectare
3.3. Effects of Weed Management Practices on Yield and Yield Components of Tef Crop
Plant Height (cm)
The analysis of variance showed that there was highly significant difference between the weed management practices on plant height (p<0.01). The application of Post-emergence herbicides and their combination with hand weeding had effects on tef height. The tallest (127.0 cm) and shortest plant height (90.2 cm) were recorded from weedy check and Pallas 45 OD at 0.5L/ha + hand weeding at 40 DAS treatment plots/weed management practices respectively in Bedele district (Table 5). Accordingly, the tallest (127.2 cm) and shortest plant height (90.5 cm) were recorded from weedy check and Pallas 45 OD at 0.5L/ha + hand weeding at 40 DAS treatment plots/weed management practices respectively in Gachi district (Table 6). The results of the present study was in agreement with the findings of who reported that increased plant height with the weedy plot might be due to the effect of severe competition among plants which make them elongated in search of light.
Panicle Length of the crop (cm)
The application of Post-emergence herbicides and their combination with Hand weeding had an effect on tef panicle length. Panicle Length was showed significance differences. The tallest (50.33 cm) and shortest panicle length (35.23 cm) from Pallas 45 OD at 0.5L/ha + hand weeding at 40 DAS and Weedy check weed management practices respectively in Bedele district (Table 5). Accordingly, the tallest (44.7 cm) and shortest panicle length (31.3 cm) from Pallas 45 OD at 0.375L/ha + hand weeding at 40 DAS and Weedy check weed management practices respectively in Gachi district (Table 6). The increase in panicle length with repeated tillage and frequent weeding might be attributed to better availability of growth resources for the crop resulting from repeated tillage and weeding which is in agreement with the findings of and the genetic nature of varieties.
Biomass of the crop (Kg ha-1)
The above-ground biomass of the crop was significantly influenced by weed management methods. The largest above ground biomass of the crop was obtained in the Pallas 45 OD at 0.5lt ha-1 (5533.3 kg ha-1), whereas the lowest biomass was observed in the weed-check plot (2100 kg ha-1) at Bedele district (Table 5). Accordingly, the largest above ground biomass of the crop was obtained in the Pallas 45 OD at 0.5lt ha-1 + HW @ 40 DAS (8613.3 kg ha-1), whereas the lowest biomass was observed in the weed-check plot (2200.0 kg ha-1) at Gachi district (Table 6). These results were similar to the finding of , who reported that the highest biomass of the crop was obtained from a weed-free plot, and the lowest was from a weedy check plot. This may be because of the crop plants utilized the resources more efficiently, which resulted in a higher final crop stand. The biomass of the crop is hugely significant on the grain yield of the crop.
Grain Yield (Kg ha-1)
The analysis of variance showed that there was highly significant difference between the weed management practices on Grain yield (p<0.01). The application of Post-emergence herbicides and their combination with hand weeding had an effect on tef Grain yield. The highest (2533.3Kg ha-1) and lowest grain yield (593.3Kg ha-1) was recorded from Pallas 45 OD at 0.5L/ha and weedy check weed management practices respectively in Bedele district (Table 5). Accordingly, the highest (2280.0Kg ha-1) and lowest grain yield (616.0Kg ha-1) was recorded from Pallas 45 OD at 0.5L/ha and weedy check weed management practices respectively in Gachi district (Table 6). The improvement of tef grain yield might be due to efficient control of weed growth and weed density, and efficient utilization of resources by crops, which lead to proper growth and development of crops that favor an increase in yield and yield attributes. The minimum grain yield was due to weed infestation, accumulation of high dry matter in weeds, and occurrence of different weed species in weedy plots. The other reason is that the more the weeds, the more the nutrient depletion from the soil and the more their competition with crop plants that conspicuously concentrated the nutrient movement towards the grains which finally affected the grain development potential of a crop that resulted lower yield; and its opposite is true for a crop that resulted higher yield. The results was indicated that all weed management practices highly significantly increased the yield over weedy check (unweeded control) (Tables 5 & 6). This result is in line with who reported that the highest grain yield of tef was obtained in weed-free treatment, while the lowest grain yield was obtained in the weedy check. The result also showed that the combination of weed management practices with Hand weeding and sole weed management practices had high advantage over weedy check. The results are in line with the report of, who reported that tef grain production was greater with herbicide application treatment compared to the weedy check treatment.
Table 5. Effect of weed management practices on yield and yield components of Tef (Eragrostis (Zucc.) Trotter) in Buno Bedele Zone, Bedele district in 2024 cropping season.

Treatments

PH (cm)

PL (cm)

DB (kg ha-1)

GY (kg ha-1)

Pallas 0.5lt ha-1

116.7bdc

42.22cb

4116.7bc

1122.7ed

Pallas 0.375lt ha-1

118.7bc

41.11cb

4183.3bc

984.0ed

Pallas 0.5lt ha-1 + HW @ 40 DAS

90.2e

50.33a

5533.3a

2533.3a

Pallas 0.375lt ha-1 + HW @ 40 DAS

121.9ba

50.11a

4636.7ba

1982.7b

2, 4-D 1.0lt ha-1

110.6d

39.89c

4066.7bcd

1270.0d

2, 4-D 0.5lt ha-1

111.0dc

39.56c

3200.0ecd

752.7ef

2, 4-D 1.0lt ha-1 + HW @ 40 DAS

119.0bac

44.23b

3625.3bcd

1794.7b

2, 4-D 0.5lt ha-1 + HW @ 40 DAS

117.5bdc

44.23b

2926.7ed

1662.0cb

HW 25 and 40 DAS

97.9e

35.33d

4466.7ba

1280.0cd

Weedy check

127.0a

35.23d

2100.0e

593.3f

Grand mean

113.1

42.2

3885.5

1397.5

LSD (0.05)

8.1

3.92

1149.8

386.3

CV (%)

4.2

5.4

17.3

16.1

Table 6. Effect of weed management practices on yield and yield components of Tef (Eragrostis (Zucc.) Trotter) in Buno Bedele Zone, Gachi district in 2024 cropping season.

Treatments

PH

PL

DB (kg ha-1)

GY (kg ha-1)

Pallas 0.5lt ha-1

120.1dce

39.00cd

6444.7c

910.0e

Pallas 0.375lt ha-1

119.9dce

38.7cd

7042.0bc

711.3fe

Pallas 0.5lt ha-1 + HW @ 40 DAS

90.5g

43.7a

8613.3a

2280.0a

Pallas 0.375lt ha-1 + HW @ 40 DAS

125.9ba

44.7a

7961.3ba

1886.7b

2, 4-D 1.0lt ha-1

117.7de

38.00ed

5256.7d

880.0fe

2, 4-D 0.5lt ha-1

116.0e

36.23e

5433.3d

813.3fe

2, 4-D 1.0lt ha-1 + HW @ 40 DAS

122.8bc

41.4b

7326.0bc

1460.0dc

2, 4-D 0.5lt ha-1 + HW @ 40 DAS

120.8dc

40.6cb

7700.0ba

1218.7d

HW 25 and 40 DAS

100.3f

34.03f

6626.0c

1520.0c

Weedy check

127.2a

31.3g

2200.0e

616.0f

Grand mean

116.1

38.8

6460.3

1226.6

LSD (0.05)

4.4

2.03

932.7

145.5

CV (%)

2.22

3.05

8.4

12.8

Economic analysis / production cost analysis
Different weed management needs different cost of production. The highest MRR (12137.5) was obtained from Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS, while the lowest MRR (616) from weedy check weed management practices (Table 7). This analysis is in agreement with the study of , who reported that chemical usage gives the most actual, economical, and practical method of weed control when supplemented with hand weeding.
Table 7. Post-emergence Herbicides on economic analysis of tef.

Treatments

Ave yield (kg ha-1)

Adjusted yield (kg ha-1)

TVC

Gross return

Net Benefit

MRR (%)

Pallas 45 OD 0.5lt ha-1

1189.3

1070.37

24500

117740.7

93240.7

0

Pallas 45 OD 0.375lt ha-1

984

885.6

24200

115500

91300

646.9

Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS

2154.7

1939.23

25000

213400

188400

12137.5

Pallas 45 OD 0.375lt ha-1 + HW @ 40 DAS

1746

1571.4

24700

205700

181000

2466.7

2, 4-D 1.0lt ha-1

1470

1323

23600

101200

77600

9400.0

2, 4-D 0.5lt ha-1

752.8

677.52

23300

96800

73500

1366.7

2, 4-D 1.0lt ha-1 + HW @ 40 DAS

1933.3

1739.97

24100

169400

145300

8975.0

2, 4-D 0.5lt ha-1 + HW @ 40 DAS

1608

1447.2

23800

156200

132400

4300.0

HW 25 and 40 DAS

1280

1152

23000

137500

114500

2237.5

Weedy check

593.3

533.97

15000

80300

60300

615.0

*Note; One HW=One Times Hand Weeding; Two HW =Two Times Hand Weeding, DAS=Days after Sowing, @=at, AY= adjusted yield, GR=gross return, TPC=total production cost, NR=net return, BCR=benefit cost ratio
4. Conclusion and Recommendations
The application of post-emergence herbicides and their combination with hand weeding had effect on the collected parameters of tef and weed. All yield and yield components of tef were highly significantly influenced by the weed management practices. Both total weed density and total weed biomass were highly significantly influenced by the weed management practices. Applying Pallas 45 OD at 0.5Lha-1 + HW at 40 DAS was the best Tef weed management Practices. The highest MRR were recorded from Pallas 45 OD at 0.5Lha-1 + hand weeding at 40DAS. Finally; using post-emergence herbicide Pallas 45 OD at 0.5 ltha-1 + HW at 40 DAS is more profitable weed management practice and recommended for managing any weed species in tef field and improve yield production.
Abbreviations

DAS

Days After Sowing

HW

Hand Weeding

MRR

Marginal Rate of Return

ANOVA

Analysis of Variance

LSD

List Significance Difference

BeARC

Bedele Agricultural Research Center

OARI

Oromia Agricultural Research Institute

Author Contributions
Takele Kusa: Conceptualization, Data curation, Formal Analysis, Methodology, Project administration, Software, Supervision, Writing – original draft, Writing – review & editing
Alemayehu Abdeta: Conceptualization, Methodology, Software, Writing – review & editing
Conflicts of Interest
The authors declare that they have no conflicts of interest.
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[9] CIMMYT (International Maize and Wheat Improvement Center). Farm Agronomic Data to Farmer Recommendations: An Economics Training Manual. Completely Revised Edition. DF: CIMMYT, Mexico D. F. 1988. 124p.
[10] Collyns Dan (2013) Quinoa brings riches to the Andes.
[11] Gebreyesus BrhaneTesfahunegn. 2014. Response of Yield and Yield Components of Tef [Eragrostis tef (Zucc.) Trotter] to Tillage, Nutrient, and Weed Management Practices in Dura Area, Northern Ethiopia. International Scholarly Research Notices, Hindawi Publishing Corporation, Volume (XX), pp 1-9 pages.
[12] Gomez KA, Gomez AA. Statistical Procedures for Agricultural Research. 2nd Ed. John Willey and Sons, Inc. New York. 1984. 641p.
[13] Habtegebrial. K., B. R. Singh, and M. Haile. 2007. “Impact of tillage and nitrogen fertilization on yield, nitrogen use efficiency of tef (Eragrostis tef (Zucc.) Trotter) and soil properties,” Soil andTillage Research, vol. 94, no. 1, pp. 55–63.
[14] Haftamu, G.; Mitiku, H.; Yamoah, C. F. 2009. Tillage Frequency, Soil Compaction and NFertilizer Rate Effects on Yield of Teff (Eragrostis Tef (Zucc) Trotter) in Central Zone of Tigray, Northern Ethiopia. MomonaEthiop. J. Sci. 1, 82–94.
[15] Haftamu Gebretsadik Gebrehiwot, Jens Bernt Aune, Jan Netland, Ole Martin Eklo, Torfinn Torp and Lars Olav Brandsæter. 2020. Weed-Competitive Ability of Teff (Eragrostis tef (Zucc.) Trotter) Varieties. Agronomy, 10, 108.
[16] Joel Felix. 2010. Evaluation of Herbicides for Possible use on Tef. Onion, Ave Ontario, OR 97914.
[17] Kebede. F and C. Yamoah. 2009. Soil fertility status and Numass fertilizer recommendation of Typic Hapluusterts in the Northern Highlands of Ethiopia,” World Applied Sciences Journal, vol. 6, pp. 1473–1480.
[18] Marwat, K. S., Usman, K., Khan, N., Khan, U. M., Ejaz Ahmad Khan, A. E., Khan, A. M., Rehman, U. A., 2013. Weeds of Wheat Crop and Their Control Strategies in Dera Ismail Khan District, Khyber Pakhtun Khwa, Pakistan. American Journal of Plant Sciences, 4: 66-76.
[19] Mersie. W and C. Parker. 1983. “Response of teff (Eragrostis tef (Zucc.) Trotter) to 2, 4-D and MCPA at various growth stages,” WeedResearch, vol. 23, no. 1, pp. 53–59.
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  • APA Style

    Kusa, T., Abdeta, A. (2026). Effect of Various Weeds Management Practices on Yield and Yield Components of Tef (Eragrostis tef (Zucc.) Trotter) in Buno Bedele Zone. Journal of Plant Sciences, 14(3), 124-132. https://doi.org/10.11648/j.jps.20261403.12

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    ACS Style

    Kusa, T.; Abdeta, A. Effect of Various Weeds Management Practices on Yield and Yield Components of Tef (Eragrostis tef (Zucc.) Trotter) in Buno Bedele Zone. J. Plant Sci. 2026, 14(3), 124-132. doi: 10.11648/j.jps.20261403.12

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    AMA Style

    Kusa T, Abdeta A. Effect of Various Weeds Management Practices on Yield and Yield Components of Tef (Eragrostis tef (Zucc.) Trotter) in Buno Bedele Zone. J Plant Sci. 2026;14(3):124-132. doi: 10.11648/j.jps.20261403.12

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  • @article{10.11648/j.jps.20261403.12,
      author = {Takele Kusa and Alemayehu Abdeta},
      title = {Effect of Various Weeds Management Practices on Yield and Yield Components of Tef (Eragrostis tef (Zucc.) Trotter) in Buno Bedele Zone},
      journal = {Journal of Plant Sciences},
      volume = {14},
      number = {3},
      pages = {124-132},
      doi = {10.11648/j.jps.20261403.12},
      url = {https://doi.org/10.11648/j.jps.20261403.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20261403.12},
      abstract = {The effect of weed is one of the important limiting factors for crop growth and productivity in agricultural crop production. Weeds compete with tef for nutrients, soil moisture, sunlight and space. The magnitude of losses would depend upon the type of weeds and duration of competition with the crops. Mechanical and cultural methods sometimes do not work due to fact that there is a morphological similarity of some major weeds of the crops. Combining cultural methods, pre- or post-emergence application of herbicides and hand weeding has been found to be effective and economical. Then; there should be a little information on the “Effect of various Weeds management practices on yield and yield components of Tef”. Hence, this study was conducted in Buno Bedele zone (Gachi district) and Bedele (BeARC, Ilke sub-site) district; Southwestern Oromia to evaluate effectiveness of weed management practices on weeds, and growth, yield and yield components of tef and to determine optimum rates of herbicides, and their combination with hand weeding and hoeing for weed management in tef at Southwestern Oromia. The experiment was carried out in randomized completely block design (RCBD) with three replications. A total of ten weed control treatments were evaluated. The two years data (2023 and 2024) were noticed highly significant difference on the assessed parameters of weed, Yield and yield components of tef. The highest grain yield, Gross return and net return was obtained from Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS. Finally; using Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS is an economical and/or recommendable for tef production.},
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - Effect of Various Weeds Management Practices on Yield and Yield Components of Tef (Eragrostis tef (Zucc.) Trotter) in Buno Bedele Zone
    AU  - Takele Kusa
    AU  - Alemayehu Abdeta
    Y1  - 2026/05/28
    PY  - 2026
    N1  - https://doi.org/10.11648/j.jps.20261403.12
    DO  - 10.11648/j.jps.20261403.12
    T2  - Journal of Plant Sciences
    JF  - Journal of Plant Sciences
    JO  - Journal of Plant Sciences
    SP  - 124
    EP  - 132
    PB  - Science Publishing Group
    SN  - 2331-0731
    UR  - https://doi.org/10.11648/j.jps.20261403.12
    AB  - The effect of weed is one of the important limiting factors for crop growth and productivity in agricultural crop production. Weeds compete with tef for nutrients, soil moisture, sunlight and space. The magnitude of losses would depend upon the type of weeds and duration of competition with the crops. Mechanical and cultural methods sometimes do not work due to fact that there is a morphological similarity of some major weeds of the crops. Combining cultural methods, pre- or post-emergence application of herbicides and hand weeding has been found to be effective and economical. Then; there should be a little information on the “Effect of various Weeds management practices on yield and yield components of Tef”. Hence, this study was conducted in Buno Bedele zone (Gachi district) and Bedele (BeARC, Ilke sub-site) district; Southwestern Oromia to evaluate effectiveness of weed management practices on weeds, and growth, yield and yield components of tef and to determine optimum rates of herbicides, and their combination with hand weeding and hoeing for weed management in tef at Southwestern Oromia. The experiment was carried out in randomized completely block design (RCBD) with three replications. A total of ten weed control treatments were evaluated. The two years data (2023 and 2024) were noticed highly significant difference on the assessed parameters of weed, Yield and yield components of tef. The highest grain yield, Gross return and net return was obtained from Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS. Finally; using Pallas 45 OD 0.5lt ha-1 + HW @ 40 DAS is an economical and/or recommendable for tef production.
    VL  - 14
    IS  - 3
    ER  - 

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    1. 1. Introduction
    2. 2. Materials and Methods
    3. 3. Result and Discussion
    4. 4. Conclusion and Recommendations
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