<p>A study was conducted at ICAR-CPCRI research farm, Kasaragod, to asess weed distribution across four coconut based cropping systems viz., coconut based mixed farming system (CBMF), high density multi species cropping system (HDMSCS), coconut-cocoa intercropping system (CCIS) and coconut alone (Monocrop). The primary objective was to analyze weed community structure and composition across the systems, providing insights into their dynamics to support targeted weed management strategies. Weed composition was assessed using 1 m<sup>2</sup> quadrats randomly placed in 10 locations per system. Weeds collected from each quadrate, identified, counted, and weighed for fresh biomass. Phyto-sociological parameters were analysed using standard indices to understand species abundance and distribution. A total of twenty three weed species belonging to 13 families were recorded, including both monocot, sedges and dicots. Dicot species, especially from Asteraceae and Amaranthaceae, were widely distributed. Sorenson’s similarity index revealed that CCIS had the highest weed similarity index with HDMSCS (0.84) and the lowest with monocrop (0.42). Overall, cropping systems like HDMSCS and CCCS showed low similarity (&lt; 0.50) with monocrop, except CBFS. Some weed species were common across all systems, indicating their adaptability to diverse light and environmental conditions. Weed distribution patterns were influenced by factors such as crop cover, irrigation, management practices, and light availability. These findings emphasized the need for system specific weed management approaches to improve crop productivity and sustainability in coconut based farming system.ot</p>

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Assessment of weed species distribution under different coconut based cropping systems

  • Surekha,
  • P. Subramanian,
  • Ravi Bhat

摘要

A study was conducted at ICAR-CPCRI research farm, Kasaragod, to asess weed distribution across four coconut based cropping systems viz., coconut based mixed farming system (CBMF), high density multi species cropping system (HDMSCS), coconut-cocoa intercropping system (CCIS) and coconut alone (Monocrop). The primary objective was to analyze weed community structure and composition across the systems, providing insights into their dynamics to support targeted weed management strategies. Weed composition was assessed using 1 m2 quadrats randomly placed in 10 locations per system. Weeds collected from each quadrate, identified, counted, and weighed for fresh biomass. Phyto-sociological parameters were analysed using standard indices to understand species abundance and distribution. A total of twenty three weed species belonging to 13 families were recorded, including both monocot, sedges and dicots. Dicot species, especially from Asteraceae and Amaranthaceae, were widely distributed. Sorenson’s similarity index revealed that CCIS had the highest weed similarity index with HDMSCS (0.84) and the lowest with monocrop (0.42). Overall, cropping systems like HDMSCS and CCCS showed low similarity (< 0.50) with monocrop, except CBFS. Some weed species were common across all systems, indicating their adaptability to diverse light and environmental conditions. Weed distribution patterns were influenced by factors such as crop cover, irrigation, management practices, and light availability. These findings emphasized the need for system specific weed management approaches to improve crop productivity and sustainability in coconut based farming system.ot