Weed Management in Dryland Agriculture in India for Enhanced Resource Use Efficiency and Livelihood Security

Singh, Ravender; Das, Tapas K.; Kaur, Ramanjit; Raj, Rishi; Shekhawat, Kapila

doi:10.1007/s40011-016-0795-y

Cited by 10 publications

(6 citation statements)

References 50 publications

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“…A recent study by Shipra Yadav et al (2020) conclud-ed that E. colona prefers paddy crops. This corroborates with the findings ofSingh et al, (2016) who also reported that the dominance of grassy weeds over other weed species. Cyprus rotundus recorded high relative density of 23.90 per cent at 20 DAT but relatively lower relative density of 18.32 per cent at 40 DAT when compared to E. colona.…”

supporting

confidence: 93%

Integrated Weed Management Approach for The Mitigation of Complex Weed Flora in Transplanted Rice Systems

2023

MCAES

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Rice (Oryza sativa L.) is a staple food crop popularly grown in more than 100 countries with 90% of the total global production from Asia. Major constraint in paddy cultivation is heavy weed infestation which causes 50-90 % yield reduction. Weeds causes adverse effects to crops in many ways and this arise due to the unusual adaptation characteristics of the weeds and their regeneration ability. To achieve timely and effective weed control, broad-spectrum herbicide based integrated weed management may offer a pathway for simultaneously reducing costs and markedly increasing productivity. A field experiment was conducted during the Navarai (Late Rabi) Season of 2023 to investigate the efficacy of new herbicide combinations for the management of weed flora in transplanted paddy at Field No. A18, ACAR Farm, Adhiyamaan College of Agriculture and Research, Krishnagiri district situated at North western zone of Tamil Nadu. The experiment was conducted with nine treatments where six treatments are combination of herbicides, two cultural operations and one untreated check. The field experiment was designed using randomized block designs with three replications. The experiment results revealed that the post emergence application of Bispyribac sodium 10% SC + (Metsulfuron-methyl+ Chlorimuron ethyl) 250+20 ml ha -1 followed by Cono weeding twice on 15 and 30 DAT enhanced the growth and yield of transplanted paddy with decreased weed growth, reduction in nutrient depletion by weeds and enhanced nutrient uptake by the crop. The treatment positively influenced growth and physiological parameters like plant height, number of tillers, leaf area index and also recorded distinctly higher grain yield (6.5 tonnes ha -1 ), net return (Indian Rupees 114923.2 ha -1 ) and benefit cost ratio (3:10). Combination of herbicides along with cono weeding increased cropping system sustainability and reduced selection pressure for weed resistance to herbicides.

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confidence: 93%

Integrated Weed Management Approach for The Mitigation of Complex Weed Flora in Transplanted Rice Systems

2023

MCAES

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“…The information gathered from various Indian agro-ecological regions over a time of 20 years shows that most often infestation of weed species number in Indian agriculture system varies from 60 to 70 in humid, per-humid, sub humid, island and coastal environments, 30-40 in semi-arid and 15-20 in arid environments (Dixit et al, 2008) [9] . Weeds were accounted to cause yield reduction of 5% in commercial agriculture, 10% in semi commercial agriculture, 20% in subsistence agriculture (Choudhury and Singh, 2015) [8] and 37-79% in dry land agriculture (Singh et al, 2016) [30] . Although spraying of herbicides is frequently used to suppress the weeds, it adversely affects general health and the abundance use can cause the environmental pollution.…”

Section: Weed Managementmentioning

confidence: 99%

Artificial intelligence and internet of things (IoT) approaches in agriculture

Parte,

Solanki,

Ranawat

2024

Int. J. Res. Agron.

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Internet of Things (IoT), and virtual and expanded reality. Advancements like man-made intelligence and IoT have been utilized in farming for quite a while, alongside different types of cutting-edge computer science. There has been a change as of late toward contemplating how to put this new innovation to utilize. Agriculture has given a huge part of humankind's food for millennia, with its most striking commitment being the boundless utilization of compelling agricultural practices for a many crop types. The advancement of cutting-edge IoT skill with the capacity to screen agricultural ecosystems and assurance for quality produce is in progress. Smart Agriculture keeps on confronting considerable obstacles because of the boundless scattering of methods of agriculture because of arrangement and organization of IoT and artificial intelligence gadgets, the sharing of information and organization, interoperability, and the analysis and storage of tremendous information amounts. Agrarian innovations have arisen to upgrade sustainability and find more successful farm strategies. This envelops all digitalization and robotization processes in business and our regular routines, including Large Information, Artificial Intelligence (AI), robots, the Internet of Things (IoT), and virtual and expanded reality. This paper looks at the condition of innovative work in Smart Agriculture, focuses on the ongoing type of data, and proposes a Web of Things (IoT) and artificial intelligence (AI) structure as a beginning stage for Smart Agriculture. The more use of Precision Agriculture technologies having the services of smart farming is more important not only for improving the economic performance of farm but also for the food security of increasing population.

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“…The data collected from different Indian agro-ecological regions over a period of 20 years revealed that most frequently encountered weed species number in Indian agriculture varied from 60 to 70 in humid, per-humid, subhumid, coastal and island ecosystems, 30-40 in semi-arid and 15-20 in arid ecosystems (Dixit et al, 2008). Weeds were reported to cause yield loss of 5% in commercial agriculture, 10% in semi commercial agriculture, 20% in subsistence agriculture (Choudhury and Singh, 2015) and 37-79% in dry land agriculture (Singh et al, 2016).…”

Section: Weeds Of India and Losses Causedmentioning

confidence: 99%

“…Thus holistic approach involving different and integrated weed management practices are suggested sustainable crop production. Reviews are available on weed management, including integrated approaches, in wheat (Singh et al, 2013), groundnut (Jat et al, 2011;Priya et al, 2013), finger millet , maize (Sunitha and Kalyani, 2012), maize based cropping systems (Kumar et al, 2015), sorghum (Vijayakumar et al, 2014), cotton (Nithya et al, 2013), groundnut (Jat et al, 2011), groundnut based intercrops (Annadurai et al, 2010), mustard (Singh et al, 2013a), vegetable crops (Hussain et al, 2007), fruit, vegetable, tuber, ornamental, medicinal, aromatic and plantation crops (Chadha et al, 1997) and dryland crops (Singh et al, 2016). Management aspects were reviewed for problematic weeds such as P. hysterophorus, Cuscuta spp., Orobanche spp., Striga spp.…”

Section: Integrated Weed Managementmentioning

confidence: 99%

“…In order to avoid grain losses, avoid deterioration in soil fertility and productivity, for more rationale and judicious use of the natural resources such as sun light, water and land and attain higher crop productivity, it is essential to manage weeds. Recognizing the importance of weeds, reviews on weed management in agroecosystems of India were made earlier (Joshi, 1971;Mukhopadhyay, 1993;Bhan and Sushilkumar, 1998;Yaduraju, 2012;Rao and Chauhan, 2015;Singh et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Weed research issues, challenges, and opportunities in India

et al. 2020

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Agriculture is the major source of livelihood for nearly half of the Indian population. However, the productivity of crops is much lower than many countries and needs enhancement to produce ∼400 million tons of food grains for meeting food demands of a population of 1.7 billion by 2050. Diverse climatic conditions in India favor the most adopted weeds to prevail and cause severe crop yield losses. Weeds also degrade quality of the produce, raise cost of production; harbor and serve as alternate hosts to several insect pests and diseases. Parthenium hysterophorus L.; Phalaris minor Retz.; Leptochloa chinensis (L.) Nees.; Echinochloa spp.; weedy rice; Lantana camara L.; Chromolaena odorata (L.) R.M. King & H. Rob.; Mikania micrantha Kunth., are a few of many major weeds of concern currently in India. Weed management in India is critical to improve crops productivity by minimizing weeds caused crop yield losses and to alleviate other adverse effects of weeds in different ecosystems. In spite of the progress made in evolving weed management technologies for different crops and other ecosystems, weeds continue to be a concern in varying ecosystems. The real challenges of Indian weed research are: managing weeds in small farms; non availability of labor and mechanical tools; inadequate information on weed biology and shifts in weed flora; herbicide resistant weeds; lack of understanding on the impact of climate change on weeds and weed control; popularizing integrated weed management with herbicides use by ensuring safe use to avoid adverse effect on human health, environment and avoid weeds developing herbicide resistance and prevention of entry and management of alien invasive weeds. The greatest opportunity of Indian weed science is the potentiality of appropriate weed management technologies to substantially improve the crops productivity. Thus, weed scientists have a greater role to play in the development, popularization and adoption of location specific effective, economical and eco-friendly weed management technologies for different ecosystems of India.

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Weed Management in Dryland Agriculture in India for Enhanced Resource Use Efficiency and Livelihood Security

Cited by 10 publications

References 50 publications

Integrated Weed Management Approach for The Mitigation of Complex Weed Flora in Transplanted Rice Systems

Integrated Weed Management Approach for The Mitigation of Complex Weed Flora in Transplanted Rice Systems

Artificial intelligence and internet of things (IoT) approaches in agriculture

Weed research issues, challenges, and opportunities in India

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