Severity of Associated Weeds in Rabi Crops and Their Control Measures Perceived by Farmers
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The Journal of Agricultural Sciences - Sri Lanka Vol. 16, No 3, September 2021. Pp 452-465 http://doi.org/10.4038/jas.v16i03.9471 Severity of associated weeds in Rabi crops and their control measures perceived by farmers S. M. A. Islam1, M. A. I. Rana1, M. Ahmed2 and M. M. Islam2* Received: 23rd April 2020 / Accepted: 26th July 2021 ABSTRACT Purpose: The study was conducted to identify the associated weeds of Rabi (winter) crops and their control measures used by the farmers at Dumuria and Batiaghata upazila in Khulna district of Bangladesh. Research Method: Data were collected from purposively selected 73 respondents using structured interview conducted from 4 January to 20 April, 2019. Findings: In the study area, Echinochloa crussgalli and Cynodon dactylon were found as dominant within rice fields with the highest severity index of 25.34% and 20.54% respectively. In sesame fields, Cucumis melo var. agrestis and Cynodon dactylon were found with 16.78% and 12.33% severity index respectively. The severity index of Cynodon dactylon was the highest in majority of the vegetable crops. The weeding of rice, potato, bitter gourd, spinach, country bean was done within the critical weeding regime but in the rest of the crops weeding was not done during the critical weeding regime. Originality/value: Farmers spend about 40% of the total production cost on weed control and the critical weeding regime has a major impact on effectiveness of weed control, overall economic benefit and net income. Key Words: Associated weeds, Critical weeding regime, Rabi crops, Severity index INTRODUCTION 1998). Competition and Allelopathy are the important ecological interactions between the Bangladesh is predominantly an agrarian crop and weeds. country. The economy of Bangladesh is primarily dependent on agriculture. Agriculture Crop weed competition has almost exclusively contributes about 14% to the country’s GDP. focused on the response of the crop, with About 40% of the labor force is employed in only occasional reference to weed responses. agriculture (BBS, 2018). Due to very fertile Although crop yield loss is central to the short- land and favorable climatic conditions, a term goals of the farmer, longer term weed variety of crops are grown abundantly in the management goals, particularly those related to country during different seasons [Rabi (winter) managing annual weeds, should consider weed and Kharif (summer)]. Amongst, Rabi season is seed yield and weed seed quality, both of which important because of the increase in the income are affected by crop weed competition (Jordan, of farmers, as they grow many cereals, pulses, 1996; Norris, 2007).The weed competition in oilseeds and vegetables in this season. the crop field is invariably severe in the early stages of the crop than at later stages. Generally, Usually, crops are associated with different in a crop of 100 days duration, the first 35 days weeds. The weeds associated with most of the after sowing should be maintained in a weed crops are crop-specific but not due to parasitic reasons. They may be associated with certain 1 Agrotechnology Discipline, Khulna University, Khulna-9208, Bangladesh crops for specific microclimate, mimicry, and [email protected] ready contamination of crop seeds (Gupta, https://orcid.org/0000-0001-7892-4666 452 Open Access Article free condition. There is no need to attempt formulated to achieve the research goals. for a weed free condition throughout the life period of the crop, as it will entail unnecessary i.To identify major weeds associated with additional expenditure without a proportionate important Rabi crops as perceived by the increase in yield (Walia and Walia, 2015). Thus, farmers. the field should be weed-free during the critical ii.To describe the socio-economic characteristics period of crop weed competition. of the Rabi crop growers for depicting their The critical period of weed crop competition is competence in identifying the associated defined as that shortest period in the ontogeny of weeds. the crop when weeding will result in the highest iii.To find out the control measures of weeds economic returns (Gupta, 1998).The critical practiced by the farmers. period of weed crop competition is the period from the time of sowing up to, in which the crop iv.To explain the cost effectiveness of weed is to be maintained in a weed free environment control methods. to get the highest economical yield. In general, there is a hypothesis that for producing optimum yields, the annual crops require a MATERIALS AND METHODS weed free respite for the first one-fourth to one- third of their growing period. Longer duration The study was conducted at few villages under weed control usually does not give additional three unions of each of Dumuria and Batiaghata economic return. Unfortunately, most farmers Upazila of Khulna district. The farmers erroneously assume that removing weeds at involved in Rabi crop cultivation were treated any time during the growing season is good as the population of the area. The researchers enough for obtaining full benefits of weeding in purposively selected 73 farmers as respondents terms of increased crop yield (Gupta, 1998). In to conduct this survey (36 respondents from Bangladesh, weeds are traditionally controlled Batiaghata and 37 respondents from Dumuria). by hand weeding. The respondents were from villages of Atlia, Bhandar Para, and Kharnia union of Dumuria It has been estimated that losses in crop yields Upazila and villages of Batiaghata, Jalma, and due to weeds in developed countries are 5%, Gangarampur union of Batiaghata Upazila. and in the least developed countries about 25% Data were collected by face to face interviews (Mukhopadhayay, 1992). The weeds reduce the with the farmers using the interview schedule crop yields, directly and indirectly, they elevate conducted from 4 January to 20 April, 2019. The farm production costs through energy spent respondents were asked to mention the names in controlling them. On country basis, such of the weeds which they used to encounter in losses in crop yields have been estimated at their Rabi season crop fields. The researchers 15-30% in wheat, 30-35% in rice, and 18-85% made several field visits to observe the real each in maize, sorghum, pulses, and oilseeds crop field scenario sometimes with the farmers, (Mukhopadhayay, 1992). and sometimes alone themselves to cross check Considering the mentioned facts, this study the authenticity of the information provided by was conducted to explore the knowledge on farmers. Safeguarding the obtained data was associated weeds and their management and maintained this way and a total of 18 associated to determine the socioeconomic condition of weeds were identified this way. The Associated producers. Specifically, the objectives were Weed Severity Index Score (AWSIS) was to determine farmers’ experience in weed determined by following the very common identification and management. The data varied formula: due to differences in knowledge, understanding, AWSIS = N ×4+N ×3+N ×2+N ×1+N ×0 age, family status, level of education, and so 1 2 3 4 5 on. These following specific objectives were Where, 453 N1= Number of the respondent identified the Critical weeding regimes for the identified weed and rated as very severe associated weeds were established based on the information collected from Hand Book N2= Number of the respondent identified the of Agricultural Technology (Chowdhury weed and rated as severe and Hassan, 2013), and panel review, expert opinion, etc. Pencil sketches were drawn to N3= Number of the respondent identified the weed and rated as moderately severe describe the utility of the weeding within the critical weeding regimes to ensure maximum effectiveness along with the economic benefit. N4= Number of the respondent identified the weed and rated as less severe An economic analysis was also performed to depict the possibility of profit maximization N5= Number of the respondent identified the through weeding cost reduction. weed and rated as not severe RESULTS AND DISCUSSION After determination of the associated weed severity index score associated weed severity Identification of associated weeds of Rabi index was determined by the following formula: crops and their control measure as perceived by the farmers (%)Severity of the weed = (Observed associated weed severity index score) Batiaghata and Dumuria Upazila of Khulna × 100 (Possible highest associated weed severity index score) districts are famous for growing various vegetables. The farmers, selected for this study, used to grow various crops like rice, As there were 73 respondents associated, weed sesame, mungbean, mustard, tomato, potato, severity index score could range 0-292 where pumpkin, bitter gourd, cauliflower, cabbage, ‘0’ indicates no association of weed and ‘292’ Indian spinach, yard long bean, okra, brinjal, indicates the highest weed association. The spinach, country bean, etc. (Table 01). They SPSS software was used for data analysis [for grew all these crops in the survey year or the measuring the mean, frequency, percentage, year before the survey. According to interviews standard deviation (SD), maximum, minimum, with the farmers about the associated weed of data categorization, correlation coefficient Rabi crops in Dumuria and Batiaghata Upazila calculation, etc.]. it was found that several weeds were associated The researchers felt that the information with the crops at that time. Weeds belonging to providers’ overall socioeconomic as well as different families were found associated with agricultural competencies must be assessed. In these crops are discussed with their severity this context, nine socioeconomic characteristics index in Table 01. A total of 18 associated weeds (considered as variables) of the respondents were identified in this way (Table 01). were used in the study: age, educational Among the associated weeds with rice qualifications, family size, farming experience, Echinochloa crussgalli was found with the farm size, cosmopolitanism, organizational highest severity index (25.34%) which ranked participation, extension media contact, and the 1st followed by Cynodon dactylon with agricultural training.