Sohaib Muhammad, S. Malik, Z. Khan, M. Tayyab, A. Sardar, M. Zahid, Nimra Akram
{"title":"巴基斯坦Sharqpur Tehsil农田马铃薯和小麦杂草的双向指示种分析","authors":"Sohaib Muhammad, S. Malik, Z. Khan, M. Tayyab, A. Sardar, M. Zahid, Nimra Akram","doi":"10.3329/bjpt.v28i1.54219","DOIUrl":null,"url":null,"abstract":"This study was carried out to determine the distribution of the weeds in two important cash crops of Pakistan along with their distribution pattern in research area. Total of 56 weed species was recorded belonging to 23 plant families by the quadrat method with random sampling in wheat and potato fields of seven different villages from Tehsil Sharqpur Sharif, Punjab, Pakistan. A multivariate technique, Two Way Indicator Species Analysis (TWINSPAN), using PC-ORD (Version-6.22) classified the weeds into groups and associations. The dominant weed communities were Cichorium-Euphorbia- Cyperus community, Chenopodium-Digera-Fumaria weed community, Poa- Chenopodium-Coronopus weed community, Parthenium-Euphorbia-Veronica weed community, Euphorbia-Achyranthes-Brassica community and Setaria-Polypogon- Solanum community. Phytodiversity of weeds found in this study, remarkably indicated the variable distribution pattern of weeds in both the crop fields. Moreover, communities of weeds emerged can be helpful in better planning of the weed management in crop fields. \nBangladesh J. Plant Taxon. 28(1): 233-240, 2021 (June)","PeriodicalId":55590,"journal":{"name":"Bangladesh Journal of Plant Taxonomy","volume":" ","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2021-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Two way indicator species analysis of weed species of potato and wheat in crop fields of Sharqpur Tehsil, Pakistan\",\"authors\":\"Sohaib Muhammad, S. Malik, Z. Khan, M. Tayyab, A. Sardar, M. Zahid, Nimra Akram\",\"doi\":\"10.3329/bjpt.v28i1.54219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study was carried out to determine the distribution of the weeds in two important cash crops of Pakistan along with their distribution pattern in research area. Total of 56 weed species was recorded belonging to 23 plant families by the quadrat method with random sampling in wheat and potato fields of seven different villages from Tehsil Sharqpur Sharif, Punjab, Pakistan. A multivariate technique, Two Way Indicator Species Analysis (TWINSPAN), using PC-ORD (Version-6.22) classified the weeds into groups and associations. The dominant weed communities were Cichorium-Euphorbia- Cyperus community, Chenopodium-Digera-Fumaria weed community, Poa- Chenopodium-Coronopus weed community, Parthenium-Euphorbia-Veronica weed community, Euphorbia-Achyranthes-Brassica community and Setaria-Polypogon- Solanum community. Phytodiversity of weeds found in this study, remarkably indicated the variable distribution pattern of weeds in both the crop fields. Moreover, communities of weeds emerged can be helpful in better planning of the weed management in crop fields. \\nBangladesh J. Plant Taxon. 28(1): 233-240, 2021 (June)\",\"PeriodicalId\":55590,\"journal\":{\"name\":\"Bangladesh Journal of Plant Taxonomy\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2021-06-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bangladesh Journal of Plant Taxonomy\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.3329/bjpt.v28i1.54219\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PLANT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bangladesh Journal of Plant Taxonomy","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3329/bjpt.v28i1.54219","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
Two way indicator species analysis of weed species of potato and wheat in crop fields of Sharqpur Tehsil, Pakistan
This study was carried out to determine the distribution of the weeds in two important cash crops of Pakistan along with their distribution pattern in research area. Total of 56 weed species was recorded belonging to 23 plant families by the quadrat method with random sampling in wheat and potato fields of seven different villages from Tehsil Sharqpur Sharif, Punjab, Pakistan. A multivariate technique, Two Way Indicator Species Analysis (TWINSPAN), using PC-ORD (Version-6.22) classified the weeds into groups and associations. The dominant weed communities were Cichorium-Euphorbia- Cyperus community, Chenopodium-Digera-Fumaria weed community, Poa- Chenopodium-Coronopus weed community, Parthenium-Euphorbia-Veronica weed community, Euphorbia-Achyranthes-Brassica community and Setaria-Polypogon- Solanum community. Phytodiversity of weeds found in this study, remarkably indicated the variable distribution pattern of weeds in both the crop fields. Moreover, communities of weeds emerged can be helpful in better planning of the weed management in crop fields.
Bangladesh J. Plant Taxon. 28(1): 233-240, 2021 (June)
期刊介绍:
Bangladesh is a humid, subtropical country favouring luxuriant growth of microorganisms, fungi and plants from algae to angiosperms with rich diversity. She has the largest mangrove forest of the world in addition to diverse hilly and wetland habitats. More than a century back, foreign explorers endeavoured several floral expeditions, but little was done for non-vasculars and pteridophytes. In recent times, Bangladesh National Herbarium has been carrying out taxonomic research in Bangladesh along with few other national institutes (e.g. Department of Botany of public universities and Bangladesh Forest Research Institute).