Hooghly Bölgesi’ndeki (Batı Bengal, Hindistan) İki Alt İdari Birimde Yetişen Kışlık Ürünlerdeki Dikotiledon (İki Çenekli) Yabancı Ot Fideleri: Bir Teşhis Stratejisi ve Kısmi Eko-İstatistiksel Analiz

Abstract

Mevcut araştırma, 18 kışlık ürün göz önünde bulundurularak, Hooghly bölgesinin iki alt idari birimindeki kırk sekiz dikot (iki çenekli) yabancı ot türünün fidelerine odaklanmıştır. Bu çalışma, etkili yabancı ot yönetimi stratejileri için gerekli olan, yabancı otları gençlik (fide) dönemlerinde teşhis etme becerisini geliştirmiştir. Yapay anahtarın oluşturulmasında nitel ve nicel özellikler dikkate alınmıştır. Çeşitli kırsal bölgelerden toplanan incelenmiş taksonların tür yoğunluğu, frekansı ve bolluğunu hesaplamak için kuadrat yöntemi kullanılmıştır. Önem Değeri İndeksi (IVI), göreceli değerler kullanılarak hesaplanmıştır. Kuadrat verileri, Raunkiaer (1934) takip edilerek, fide vejetasyonunun heterojenliğini belirlemek amacıyla analiz edilmiştir. Yapay anahtar, anahtarda kullanılan özelliklerin çoğunun ilk iki temel bileşenle pozitif ilişkili olduğu Temel Bileşenler Analizi (PCA) ile yeniden güçlendirilmiştir. Kışlık ürünlerdeki yabancı otların fide çeşitliliğinin incelenmesi, yabancı ot yönetimi ile ilgili diğer çeşitli araştırma alanlarını ortaya çıkarabilecek özgün bir yaklaşımdı.

Keywords

• Kışlık ürün yabancı otu
• Fide Yapay anahtarı
• IVI
• PCA

Dicotyledonous Weed Seedlings in Winter Crops of Two Subdivisions in Hooghly District, West Bengal, India- A Strategy for Identification and Partial Eco-statistical Analysis

Abstract

The present investigation focused on seedlings of forty-eight dicot weed species within two subdivisions of Hooghly district, considering 18 winter crops. This study improved the skill to identify weeds at their juvenile stages, which is essential for effective weed management strategies. Qualitative and quantitative traits were considered for the construction of artificial key. The quadrat method was employed to calculate species density, frequency, and abundance of studied taxa collected from diverse rural jurisdictions. The Important Value Index (IVI) was computed using the relative values. Quadrat data were analyzed to determine the heterogeneity of seedling vegetation, following Raunkiaer (1934). The artificial key was again strengthened by Principal Component Analysis (PCA), where most of the traits used in the key were positively correlated to the first two principal components. Study of seedling diversity of weeds in winter crops was a novel approach that might generate various other fields of research relevant to weed management.

Keywords

• Winter-crop weed
• Seedling Artificial key
• IVI
• PCA

Thanks

The authors gratefully acknowledge the financial support from the UGC, Gov. of India, in the form of a JRF. We are also grateful to the Principal, Bejoy Narayan Mahavidyalaya, Hooghly for permitting the utilization of facilities of the institute.`

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