1. Introduction
Chickpea (
Cicer arietinum L.) is the third-largest produced food legume globally, after common bean (
Phaseolus vulgaris L.) and field pea (
Pisum sativum L.)
[1] | Gaur P. M., Tripathi S., Gowda C. L. L., Ranga R. G. V., Sharma H. C., Pande S. and Sharma M. Getachew Mekonnen, JJ Sharma, Lisanework Negatu and Tamado Tana, 2015. Effect of integrated weed management practices on weeds infestation, yield components and yield of Cowpea (Vigna unguiculata (L.) Walp.) in Eastern Wollo, Northern Ethiopia. American Journal of Experimental Agriculture, 7(5): 326-346. |
[1]
. The main chickpea-producing countries in the World are India, Australia, Burma, Turkey, Russia, Pakistan, United States, Iran, Mexico, Tanzania, Canada, Argentina, Spain, Yemen, Syria, and Ethiopia ranks fourth having greatly increased production in recent years and accounts for over 3.67% of world production during 2017 crop growing season
[2] | Food and Agriculture Organization (FAO). 2019. FAOSTAT Statistical Database of the United Nation Food and Agriculture Organization (FAO) statistical division. Rome. |
[2]
. Mean yields of chickpea have varied widely among producing countries and range from 500–600 kg/ha. India, the largest producer has had stable mean yields of about 0.9 t/ha and has a global share of 64.7%. The high yields of 30 t/ha in Mexico are largely due to the fact that most of the crop is irrigated and grown over the cool winter season
[2] | Food and Agriculture Organization (FAO). 2019. FAOSTAT Statistical Database of the United Nation Food and Agriculture Organization (FAO) statistical division. Rome. |
[2]
. Chickpea is a valued crop that provides nutritious food for an expanding world population and will become increasingly important with climate change
[3] | Muehlbauer, F. J., & Sarker, A. 2017. Economic impor-tance of chickpea: Production, value, and worldtrade. In Varshney R., Thudi M., Muehlbauer F. (eds) The chickpea genome (pp. 5–12). Cham: Springer. https://doi.org/10.1007/978-3-319-66117-9 |
[3]
. It is an annual legume that is the most important crop and its productivity is very low in Ethiopia
[4] | FAO (Food and Agricultural Organization). 2016. Fact sheet: livestock Ethiopia. Livestock in Ethiopia and opportunity analyses for Dutch investment NABC. |
[4]
. Chickpea (Cicer arietinum L.) accounts for more than 17% of legumes in Ethiopia with a production of 0.47 million tons on an area of 258,486.29 ha with the engagement of over one million households
[5] | CSA 2012. The Federal Democratic Republic of Ethiopia, Central Statistical Agency, Agricultural Sample Survey 2011/2012 (2004 E. C.) (September December 2011). Volume I. Report on Area and Production of Major crops (Private Peasant Holdings, MEHER season). Statistical Bulletin, May, 2012, Addis Ababa, Ethiopia. |
[5]
. Chickpea is also an important export commodity where both export volume and export earnings of the country are increasing, especially in the last decade
[6] | Food and Agriculture Organization (FAO). 2012. FAOST Statistical Database of the United Nation Food and Agriculture Organization (FAO) statistical division. Rome. |
[6]
. Ethiopia is the leading producer, consumer, and exporter of chickpea in Africa, and is among the top ten most important producers in the world.
The importance of chickpea-based infant follow-on formula meets the WHO/FAO requirements on complementary foods and also the EU regulations on follow-on formula with minimal addition of oils, minerals, and vitamins. It uses chickpea as a common source of carbohydrate and protein hence making it more economical and affordable for the developing countries without compromising the nutrition quality
[7] | Mulugeta, A., Tesfaye, K. and Dagne, K. (2014). The Importance of Legumes in the Ethiopian Farming System and Overall Economy: An Overview. American Journal of Experimental Agriculture. 7(6): 347-358. |
[7]
. Chickpea is a poor competitor to weeds because of slow growth rate and limited leaf development at early stage of crop growth and establishment). The bulk of the crop variety in the country is dominated by the sweet Desi type, and the Kabuli type is also grown in limited areas. In Ethiopia chickpeas are consumed widely fresh as green vegetables, sprouted, fried roasted and boiled. It is also ground into flour to make baby feed mixed with other cereals, soup bread and meat. It is also used to rehabilitate depleted fallow lands through utilizing crop rotation system
[8] | Ratnam, M. Rao, A. S. and Reddy, T. Y. 2011. Integrated Weed Management in Chickpea (Cicer arietinum L.). Indian J. Weed. Sci. 43: 70-72.910. |
[8]
. The critical period for controlling weeds in chickpea is during the seedling stage and into flowering, as chickpea plants are slow to emerge and grow. Uncontrolled weed growth during this period leads to a greater than 10% reduction in yield. the critical weed-free period is around 17–60 days after emergence, depending on the environment
[9] | Mohammad G., Javanshir A., Khooie F. R., Mohammadi S. A., Zehtab Salmasi S. 2005. Critical period of weed interference in chickpea. Weed Research 45(1): 57–63. |
[9]
.
Poor weed management is one of the most important yield limiting factors in chickpea, some other factors are brackish irrigation water, hungry and discarded soils, lack of promising cultivars, improper fertilization, pest and diseases are responsible for much reduction in yield of chickpea
[10] | Singh, S. and Singh, A. N. 1992. Crop weed competition in chickpea. In: National Symposium on Agronomy: Challenges and strategies for new millennium, held at Gujarat Agricultural University, Junagadh during November 15-18. |
[10]
. The initial 60 days’ period considered being the critical for weed crop competition in chickpea but continuously facing the scarcity of labor and increase in labor cost, manual weed control has become a difficult task. Suitable herbicide for effective control of mixed weed flora is required for better adoption in this crop by farmers
[11] | Sunil, C. M., Shekara, B. G., Ashoka, P., Murthy, K. K., &Madhukumar, V. 2011. Effect of integrated weed management practices on nutrient uptake in aerobic rice. Research on Crops, 12(3), 629–632. |
[11]
. Chickpea, being slow in its early growth and short stature plant, is highly susceptible to weed competition and often considerable losses may occur if weeds are not controlled at proper time and integrated weed management practices can be achieved by application of herbicides and hoeing twice at 20 and 40 days after the crop germination
[11] | Sunil, C. M., Shekara, B. G., Ashoka, P., Murthy, K. K., &Madhukumar, V. 2011. Effect of integrated weed management practices on nutrient uptake in aerobic rice. Research on Crops, 12(3), 629–632. |
[11]
. Chickpea, being slow in its early growth and short stature plant, is highly susceptible to weed competition and often considerable losses may occur if weeds are not controlled at proper time and integrated weed management practices can be achieved by application of herbicides and hoeing twice at 20 and 40 days after the crop germination
[11] | Sunil, C. M., Shekara, B. G., Ashoka, P., Murthy, K. K., &Madhukumar, V. 2011. Effect of integrated weed management practices on nutrient uptake in aerobic rice. Research on Crops, 12(3), 629–632. |
[11]
.
Weed control has always been placed in the center of the agricultural activity by farmers since ancient times
[12] | Buhler D. D. 2000. 50th anniversary – invited article: challenges and opportunities for integrated weed management. Weed Science 50(3): 273–280. |
[12]
. Wide spread use of synthetic herbicides, while in the other, weed suppression is largely based on mechanical, physical and ecological methods
[12] | Buhler D. D. 2000. 50th anniversary – invited article: challenges and opportunities for integrated weed management. Weed Science 50(3): 273–280. |
[12]
. In intensive agriculture, which largely depends on herbicides for weed control, indiscriminate use of herbicides could cause adverse changes on soil micro flora, poor quality crop production, human and animal health problems
[13] | Santosh G uerra, A. a nd Lewis, G. P. 2018. An ews pecieso f Cice r (Leguminosae-Papilionoideae) from the Canary Islands, K ewBulletin 40 (in press). |
[13]
. One of the most important, yet often neglected weed management strategies is to reduce the number of weed seeds present in the field in which soil is used as a weed seed bank, and thereby limit potential weed populations during crop production can be accomplished by managing the weed seed bank found in soil
[14] | Hossain, M. M., and Begum, M. 2015. Soil weed seed bank: Importance and management for sustainable crop production-A review. Journal of the Bangladesh Agricultural University, 13(2), 221–228. |
[14]
. Germination phase of the crop is the appropriate time when the herbicide is to be applied for weed management and become effective in the pulse crops. Application of pendimethalin at 1000g ha
−1 applied as pre-emergence is a very common herbicide which is used to control all type of weeds. Integrated weed management is an alternative for improving the pulse production
[13] | Santosh G uerra, A. a nd Lewis, G. P. 2018. An ews pecieso f Cice r (Leguminosae-Papilionoideae) from the Canary Islands, K ewBulletin 40 (in press). |
[13]
. Therefore, this research was conducted with the objective of to evaluate the efficacy of herbicide on weed the population and yield of chickpea in Gurage zone, Central Ethiopia.
2. Materials and Methods
2.1. Description of the Study Area
The experiment was conducted at Tageme fruit and vegetable farming site, at Ezha district in Gurage Zone of Central Ethiopia Regional state. The experimental site is located at 08°44'01.2" N latitude, 37°11'58.6"E longitude, and an altitude of 1960 meters above sea level. The rainfall pattern of this area was characterized by bimodal distribution with small rainy season belg (March-June) and main rainy season meher (July- November) with an annual average rainfall of 1500-2300 mm. The mean maximum temperature was 14 to 30°C. the soil pH was ranging from 6.0 to 8.0.
Figure 1. Map showing the experimental site of Ezha Woreda, Gurage, and Southern Ethiopia.
2.2. The Experimental Materials and Treatment Composition
The experiment was conducted in a randomized complete block design with three replications with a total of 48 treatments. The treatments of each experimental plot were 3.6 m x 2.4 m (8.64m2). To reduce inter plot effect the gangway distance between block and plots were 1.5m and 1m respectively. The experiment was conducted with chickpea Kabuli type variety (Hora), which is larger sized and high market price, the crop was characterized by white-colored with ram’s head shape, thin seed coat, smooth seed surface, white flowers, and lack of anthocyanin pigmentation on the stem and planted at 40 cm by 40cm inter and intra row spacing. The prepare–emergence herbicides; five stars (Dual Gold 960 EC) and Pendimethalin 450 EC were applied onto the soil as per emergence treatment immediately after sowing. The spraying was made using a Knapsack sprayer with a flat nozzle. Hand weeding (hand weeding and hoeing) was conducted in the assigned plots as per the treatment. To reduce exposure, the herbicide was applied with the safety role principle. After the application of each herbicide, the knapsack was washed by water after the next herbicide application. All agronomic practices were applied at the recommended methods and NPSB fertilizer was applied at the rate of 100kg ha-1 for all plots at the time of sowing.
Table 1. Herbicide used and their common, trade and chemical.
Common Name | Trade name | Chemical name |
S-metholachlor | Five star (Dual Gold 960EC) | [2-chloro-6`-ethyl-N-(2-methoxy-1-methylethyl) acet-o-toluidide] |
Pendimethalin | Pendamet 450 EC | [N-(1-ethylpropyl)-2, 6-dinitro-3, 4-xylidine] |
2.3. Treatments Distribution
The experiment consisted of 16 treatments viz.
S-metholachlor at 1.0 kg ha-1,, S-metholachlor at 1.5 kg ha-1, S-metholachlor at 2.0 kg ha-1, Pendimethalin at 1.0 kg ha-1,, Pendimethalin at 1.25 kg ha-1, Pendimethalin at 1.5 kg ha-1, S-metholachlor at 1.0kg ha-1+ pendimethalin 1.0kg ha-1, S-metholachlor 1.0kg ha-1+ pendimethalin at 0.75 kg ha-1, S- metholachlor at 0.75kg ha-1+ pendimethalin at 1.0 kg ha-1, S-metholachlor at 0.75kg ha-1+pendimethalin at 1.25kg ha-1, S-metholachlor at 1.0 kg ha-1 + one hand weeding and hoeing at 4-5 WAE, Pendimethalin at 1.0 kg ha-1 + one hand weeding and hoeing at 4-5 WAE, Two hand weeding at 2 and 5 WAE, One hand weeding and hoeing at 2 WAE, Weed free check and Weedy check.
2.4. Data Collected
Weed community:
Weed populations were collected as bimodal sampling methods in diagonal sampling methods by quadrat. The size of the quadrat is (0.25 m × 0.25 m) the quadrat was laid randomly two times in each plot.
Weed density: Weed density was recorded by throwing a quadrat (0.25 m× 0.25 m) randomly at two places in each plot at the time of weed removal for early competition and about 15 days before the expected harvest time in the case of late competition to avoid possible foliage and seed shedding. The weed species found within the sampling quadrat were identified, counted, categorized (broadleaved, grass, and sedges), and expressed in m-2.
Weed dry biomass: While recording weed density the biomass was harvested from each quadrate and the harvested weeds were placed into paper bags separately. The samples were sun-dried for 3-4 days and thereafter were placed in an oven at 65°C temperature till their constant weight and subsequently, the dry weight was measured. The dry weight was expressed in g m-2.
Parameters for weed control
Weed control efficiency (WCE): It was calculated from weed control treatments in controlling weeds and using the following formula:
Where; WCE= Weed Control Efficiency, WDC= weed dry matter in weedy check, WDT= weed dry matter in a particular treatment.
Weed index (WI) – It was measured from a particular treatment as compared with a weed-free treatment and expressed as a percentage of yield potential unweed-free and calculated with the help of the following formula:
Where; WI= Weed Index, X= Yield in complete weed-free, Y= Yield in a particular treatment.
Herbicide Efficiency Index (HEI)-It is weed killing potential of herbicides treatments and their phytotoxicity on the crop and it was be calculated by:
Where YT = yield from treatment; YC = yield from control; WDT = weed dry matter in treatment; WDC = weed dry matter in control.
2.5. Data Analysis
The data collected and measured parameters from the experiment at different growth stages were subjected to statistical analysis as per the experimental designs for each experiment using SAS (Statistical Analysis Software) version 9.2 to analyze the data using ANOVA and GLM procedures. Mean separation of significant treatments was carried out using the least significant difference (LSD) test at a 5% level of probability
[15] | Gomez, K. A. and Gomez, A. A. 1984. Statistical Procedures for Agricultural Research. J. Wiley and Sons, Singapore. |
[15]
.
3. Result and Discussion
3.1. Weed Community
The result showed that experimental fields were infested with 17 weed species and eight families were found, including broad-leaved, sedge, and grass weeds (
Figure 2). Sedge and Grassy weeds weres highly dominated and infest than grass weeds and broad-leaved weeds. From the data,
Cyperus rotundus L accounted for the highest number, and
Cyperus brevifolius Rottb
L. and
Cynodon dactylon. This may be because Sedge and Grassy weeds more species are more tolerant to advert environmental factors than to broad leaves weeds. The result is in line with
[16] | Tamado T. and Milberg, P. 2000. Weed flora in arable fields of eastern Ethiopia with emphasis on the occurrence of Parthenium hysterophorus. Weed Research 40: 507 - 521. |
[16]
reported that environmental and weeding frequency major factors that influenced weed species.
Ageratum conyzoides L., Argemone ochroleuca L., Amaranthus spinosus L., Bidens pilosa L., Cassia pumila Lam., Convolvulus arvensis L., Cynodon dactylon L., Cyperus brevifolius Rottb, Commelina diffusa L., Cyperus rotundus L., Datura stramonium L, Dichanthium annulatum (Forsk.)
Stapf., Digitaria ternata (A. Rich) Stapf, Eclipta alba (L.) Hassk, and Setaria glauca (L.) P. Beauv.
3.2. Weed Density at Harvest
Application of herbicide was highly significant (P<0.01) on weed density at harvesting time. The higher weed density was recorded at a weedy check and one time hand weeding, and hoeing at 2 WAE, Pendimethalin at 1.25 kg ha
-1 Pendimethalin at 1.0 kg ha
-1 and
S-metholachlor at 1.0 kg ha
-1 weed control methods which is 54.57, 47, 39.3, 39.63 and 41.1 weed density respectively followed by S-metholachlor at 0.75kg ha
-1+pendimethalin at 1.25kg ha
-1, S- metholachlor at 0.75kg ha
-1+ pendimethalin at 1.0 kg ha
-1, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 0.75 kg ha
-1, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 1.0kg ha
-1, Pendimethalin at 1.5 kg ha
-1 and
S-metholachlor at 1.5 kg ha
-1 weed control methods whereas the lowest weed density was recorded from combined weed control methods such as Two hand weeding at 2 and 5 WAE, Pendimethalin at 1.0 kg ha
-1 + one time hand weeding and hoeing at 5 WAE and S-metholachlor at 1.0 kg ha
-1 + one hand weeding and hoeing at 5 WAE which is 24.33, 27.56 and 26.13 weed density at harvesting (
Figure 2). The result was in line work of
[17] | Egan JF, Barlow KM, Mortensen DA 2014. A meta-analysis of the effects of 2,4-D and dicamba drift on soybean and cotton. Weed Sci 62: 193–206. |
[17]
reported that combination of herbicide and cultural weed control methods reduces offers a stronger weed-control system.
[18] | Khan, I. G., Hassan, M. I., Khan, M. I. and Khan, I. A., 2004. Efficacy of some new herbicidal molecules on grassy and broadleaf weeds in wheat-II. Pakistan Journal of Weed Science Research, 10: 33-38. |
[18]
reported a maximum weed density recorded from a weedy check.
[19] | Raize, M., Azim, MM., Mahmood, TZ. and Jamil, M., 2006. Effect of Various Weed Control Methods on Yield and Yield Components of Wheat under Different Cropping Patterns. International Journal of Agriculture and Biology, 8: 636–640. |
[19]
and
[20] | Bibi, KBM., Hassan, G. and Noor, MK., 2008. Effect of herbicides and wheat (Triticum aestivum L.) population on control of weeds in wheat (Triticum aestivum L.). Pakistan Journal of Weed Science Research, 14: 111-119. |
[20]
reported herbicides supplemented with hand weeding improved weed controlling ability.
Figure 2. Effect of herbicide with its combination on weed population.
Means the same letter at the column is not significant difference
key;-WDAE1;- Weed density at 25 days after the crop emergence, WDAE2;-Weed density at 55 days after crop emergence, WDH3;- Weed density at harvesting time
3.3. Effect of Herbicide on Weed Dry Biomass at 55 Days After Emergence
Weed control methods are significantly (P<0.01) effect on weed density at 55 days after chiclpea emergence. The higher weed dry biomass was recorded from a weedy check plots which is 50.21 gm
-1 followed by
One hand weeding and hoeing at 2 WAE, S-metholachlor at 0.75kg ha
-1+pendimethalin at 1.25kg ha
-1, S- metholachlor at 0.75kg ha
-1+ pendimethalin at 1.0 kg ha
-1, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 0.75 kg ha
-1, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 1.0kg ha
-1, Pendimethalin at 1.5 kg ha
-1, Pendimethalin at 1.25 kg ha
-1, Pendimethalin at 1.0 kg ha
-1, S-metholachlor at 2.0 kg ha
-1, S-metholachlor at 1.5 kg ha
-1 S- and metholachlor at 1.0 kg ha
-1 weed dry biomass is ranging from 37.34 to 25.34gm
-1. The lower weed dry biomass was recorded from combined application two-time hand weeding at 2 and 5 WAE, Pendimethalin at 1.0 kg ha
-1 + one hand weeding and hoeing at 5 WAE and S-metholachlor at 1.0 kg ha
-1 + one hand weeding and hoeing at 5 WAE which is 15.96 gm
-1, 18.8 gm
-1, and 19 gm
-1 respectively (
Figure 3). The result was in line with
[21] | Sareta, H. Wogayehu Worku and Bedada Begna. 2016. Economics of Herbicide Weed Management In Wheat In Ethiopia. African Crop Science Journal, (1) 24: 109 – 116. |
[21]
reported that the highest dry weed mass was recorded in weedy check treatment.
[22] | Getachew Mekonnen, JJ Sharma, Lisanework Negatu and Tamado Tana. 2016. Growth and Yield Response of Cowpea (Vigna Unguiculata L. Walp.). To Integrated Use of Planting Pattern and Herbicide Mixtures in Wollo, Northern Ethiopia. Advances in Crop Science and Technology; 7(5): 326-346. |
[22]
reported that at 55 days after emergence weeds the lowest dry weight in plots treated with 1.0 kg ha
-1 of s-metolachlor and pendimethalin with one time hand weeding supplementation which might be due to the cumulative effect of herbicide and hand weeding in Cowpea.
3.4. Weed Dry Biomass at Harvest
The statistical analysis of data showed that application of herbicide with their combination significantly (P≤0.01) effect on dry weight of weed. The higher weed density was recorded from Weedy check and One time hand weeding and hoeing at
2 WAE which is 58.66gm
-2 and 47.33 gm
-2 followed by S-metholachlor at 1.0 kg ha
-1, S-metholachlor at 1.5 kg ha
-1, Pendimethalin at 1.0 kg ha
-1, Pendimethalin at 1.25 kg ha
-1, Pendimethalin at 1.25 kg ha
-1, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 0.75 kg ha
-1, S- metholachlor at 0.75kg ha
-1+ pendimethalin at 1.0 kg ha
-1, S-metholachlor at 0.75kg ha
-1+pendimethalin at 1.25kg ha
-1 the data was varied from 39.66 gm
-2 to 31.14 gm
-2. The lower dry biomass of weed was recorded from Two hand weeding at 2 and 5 WAE, Pendimethalin at 1.0 kg ha
-1 + one time hand weeding and hoeing at 5 WAE and S-metholachlor at 1.0 kg ha
-1 + one time hand weeding and hoeing at 5 WAE which is 15.23 gm
-2,
21.93 gm
-2 and 21.43 gm
-2 respectively followed by application of herbicide at S-metholachlor at 2.0 kg ha
-1 and Pendimethalin at 1.5 kg ha
-1 which is 24.2 gm
-2 and 27.2 gm
-2 respectively (
Figure 3). The result was in line with the finding of
[19] | Raize, M., Azim, MM., Mahmood, TZ. and Jamil, M., 2006. Effect of Various Weed Control Methods on Yield and Yield Components of Wheat under Different Cropping Patterns. International Journal of Agriculture and Biology, 8: 636–640. |
[19]
and
[23] | Tesfay Amare, JJ Sharma and Kassahun Zewdie, 2014. Effect of weed control methods on weeds and Wheat (TriticumAestivum L.) yield. World Journal of Agricultural Research, 2(3): 124-128. |
[23]
reported that post- emergence herbicides and /or hand weeding and hoeing at tillering stage reduced the dry weight of weeds as compared to herbicides alone.
[24] | Das, TK. and Yaduraju, NT., 1999. Effect of weed competition on growth, nutrient uptake and yield of wheat as affected by irrigation and fertilizers. Journal of Agricultural Science, 133(1): 45-51. |
[24]
reported that the weeds that germinated earlier or at the same time as the crop offered a serious competition as they got an opportunity to establish and accumulate higher dry matter weight.
[25] | Mandal M. S. H., Ali, M. H., Amin, A. K. M. R., Masum, S. M., and Mehraj H. 2014. Assessment of different weed control methods on growth and yield of wheat. International Journal of Agronomy and Agricultural Research (IJAAR) (5) 5: 65-73. |
[25]
reported that maximum weed biomass was found from control in wheat.
Figure 3. Effect of herbicide on weed dry biomass at 25 and 55 days at harvesting, Weed index, Weed control efficiency and Herbicide Efficiency Index.
Means with the same letter at the column is not significant difference
KEY;- WDRB25, and 50, Weed dry biomass, WDRBA, Weed dry biomass at harvesting, WI, Weed index, WCE, Weed control efficiency, HEI, Herbicide Efficiency, HCI, Herbicide Efficiency Index
3.5. Weed Index
Application of herbicide with their combination is significant (P≤0.01) effect on weed index. The highest weed index was recorded from (67.1%) in weedy check followed by One-time hand weeding with hoeing at 2 WAE. Whereas the lower weed index was recorded from two time hand weeding at 2 and 5 WAE, S-metholachlor at 1.0 kg ha
-1 + one time hand weeding and hoeing at 5 WAE, Pendimethalin at 1.0 kg ha
-1 + one time hand weeding and hoeing at 5 WAE and S-metholachlor at 2.0 kg ha
-1, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 1.0kg ha
-1, S-metholachlor at 2.0 kg ha
-1 which is
9.3%, 13.4%, 18.6%, 19.6%, 20.9% and 19.6% respectively.
moderate weed controlling index was recorded from S-metholachlor at 1.0 kg ha
-1, S-metholachlor at 1.5 kg ha
-1, Pendimethalin at 1.0 kg ha
-1, Pendimethalin at 1.25 kg ha
-1, Pendimethalin at 1.5 kg ha
-1,
S-metholachlor at 1.0kg ha
-1+ pendimethalin at 0.75 kg ha
-1, S- metholachlor at 0.75kg ha
-1+ pendimethalin at 1.0 kg ha
-1, S-metholachlor at 0.75kg ha
-1+pendimethalin at 1.25kg ha
-1 which is ranging from 52% to 35.4% weed index (
Figure 3) The result in line with the finding of
[26] | Tesfay Amare Cherukuri, V. Raghavaiah and Takele Zeki, 2016. Productivity, Yield Attributes and Weed Control in Wheat (Triticum aestivum L.) as Influenced by Integrated Weed Management in Central High Lands of Ethiopia, East Africa. Advance of Crop Science Technology, 4: 206. |
[26]
reported that uncontrolled weed growth throughout the crop growth period caused a yield reduction of 72% in wheat.
[27] | Kumara Charyulu, D., and Deb, U. 2014. Proceedings of the "8th International Conference viability of small farmers in Asia”. International Conference on Targeting of Grain Legumes for Income and Nutritional Security in South Asia, Savar, Bangladesh. October 15–17). |
[27]
reported that combination of several weed control methods is the most effective approach.
3.6. Weed Control Efficiency
Weed control efficiency data shows that weed control methods significant (P≤0.01) effect on weed density. The higher weed control efficiency was recorded from Weedy check, Two hand weeding at 2 and 5 WAE, S-metholachlor at 1.0 kg ha
-1 + one hand weeding and hoeing at 5 WAE and S-metholachlor at 2.0 kg ha
-1 which is 100%, 73.8
%, 65.7%, 65.3% and 61.4% respectively followed by S-metholachlor at 0.75kg ha
-1+pendimethalin at 1.25kg ha
-1, S- metholachlor at 0.75kg ha
-1+ pendimethalin at 1.0 kg ha
-1, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 0.75 kg ha
-1, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 1.0kg ha
-1, Pendimethalin at 1.5 kg ha
-1, Pendimethalin at 1.25 kg ha
-1 and S-metholachlor at 1.5 kg ha
-1 controlling efficiency was ranging from 40.5% to 46.7%. The lower weed controlling efficacy was recorded from One hand weeding and hoeing at 2 WAE, Pendimethalin at 1.0 kg ha
-1 and S-metholachlor at 1.0 kg ha
-1 which is 15.03%, 29.9% and 34.8% respectively (
Figure 3) Similar result was obtained by
[28] | Patro H., and Ray M. 2016. Integration of chemical and cultural methods for weed management in wheat. Advance Research Journal of improvement (2) 7: 207-210. |
[28]
who concluded that the application of pendimethalin at 1.0 kg ha
-1 + one time hand weeding remarkably reduced the weed dry matter resulted in increase in weed control efficiency in wheat.
[23] | Tesfay Amare, JJ Sharma and Kassahun Zewdie, 2014. Effect of weed control methods on weeds and Wheat (TriticumAestivum L.) yield. World Journal of Agricultural Research, 2(3): 124-128. |
[23]
stated that higher weed control efficiency was obtained with the application of isoproturon at 1.50 kg ha
-1 in wheat.
3.7. Herbicide Efficiency Index
Application of herbicide with their combination is a significant (P ≤ 0.01) effect on herbicide efficiency index. The higher herbicide index was recorded from Two hands weeding at 2 and 5 WAE which is 2.8% followed by Pendimethalin at 1.0 kg ha
-1 + one-time hand weeding and hoeing at 5 WAE, S-metholachlor at 1.0 kg ha
-1 + one hand weeding and hoeing at 5 WAE, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 1.0kg ha
-1, S-metholachlor at 2.0 kg ha
-1 and S-metholachlor at 1.5 kg ha
-1 which is ranging from 2.4% to 2.09%. Medium herbicide controlling efficiency was recorded from S-metholachlor at 1.0 kg ha
-1, Pendimethalin at 1.25 kg ha
-1, S-metholachlor at 1.0kg ha
-1+ pendimethalin at 0.75 kg ha
-1, S- metholachlor at 0.75kg ha
-1+ pendimethalin at 1.0 kg ha
-1, S-metholachlor at 0.75kg ha
-1+pendimethalin at 1.25kg ha
-1 control efficiency is ranging from 1.8% to 1.68% whereas the lower weed controlling efficiency index was recorded from One hand weeding and hoeing at 2 WAE, Pendimethalin at 1.0 kg ha
-1 and weedy check which is 1%, 1.37% and 0% (
Figure 3) The result disagrees with the report of
[29] | Mirza, H. M., Obaidul, I. M., Shafiuddin, B. 2013. Efficacy of different herbicides over manual weeding in controlling weeds in transplanted rice. Australian. |
[29]
reported that the herbicide efficiency index was increased when the rates of herbicides increased.