MULTIVARIATE MULTIVARIATE ANALYSIS OF WEEDS OF CHICKPEA, MUSTARD AND WHEAT CROP FIELDS OF TEHSIL ISAKHEL, DISTRICT MIANWALI (PUNJAB), PAKISTAN

Sohaib Muhammad
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Abstract

Multivariate analysis through Two Way Indicator Species Analysis (TWINSPAN) was conducted to study the phytosociological attributes of weeds of some selected crop fields of chickpea, mustard and wheat of Tehsil Isa Khel, District Mianwali, Punjab. Forty one (41) weed species were collected from the study area belonging to twenty one (21) different families. Twenty four weed species found in chickpea, twenty five in mustard and twenty nine in wheat crop fields. Sixteen weed species were common in three crops. Family Poaceae and Astraceae had maximum weed species i.e. 7 and 6 species respectively followed by Euphorbiaceae, Fabaceae, Chenopodiaceae, Papaveraceae, Zygophyllaceae and so on. Asphodelus tenuifolius, Medicago monantha and Carthamus oxycantha are frequently occurring weeds relative to others. Two-Way Indicator Species Analysis (TWINSPAN) was performed on the percentage cover basis which divided the weed species into groups, sub groups, associations and sub associations.
巴基斯坦旁遮普省mianwali地区tehsil isakhel鹰嘴豆、芥菜和小麦农田杂草的多因素分析
采用双指标物种分析(TWINSPAN)方法,对旁遮普省米安瓦利县特希尔伊萨克尔鹰嘴豆、芥菜和小麦部分作物田杂草的植物社会学属性进行了研究。研究区共收集到41种杂草,隶属21科。在鹰嘴豆中发现了24种杂草,在芥菜中发现了25种杂草,在小麦田里发现了29种杂草。在三种作物中共有16种杂草。禾本科和天门星科杂草种类最多,分别为7种和6种,其次为大戟科、豆科、藜科、罂粟科、刺槐科等。芦笋、紫花苜蓿和红花是较常见的杂草。采用双向指标物种分析(TWINSPAN),将杂草物种划分为类群、亚类群、群和亚群。
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