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Grasses of the Neelum Valley Azad Jammu and Kashmir: Systematics, Anatomy and Physiology

Thesis Info

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Author

Khawaja Shafique Ahmad

Program

PhD

Institute

University of Agriculture

City

Faisalabad

Province

Punjab

Country

Pakistan

Thesis Completing Year

2015

Thesis Completion Status

Completed

Subject

Botany

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/6956/1/KhwajaShafiqueAhmad_UAF_2015_Botony.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676726342923

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Grasses belong to one of the most fascinating families of flowering plants, family Poaceae with a wide range of diversity. Poaceae is a species-rich family that includes many economic plants, globally with about 10,000 species and 700 genera. The members of this group are present in all the conceivable habitats suitable for the growth of the plant communities. Recent phylogenetic studies confirmed that multiple factors are involved indirectly that determine the grass diversity at large scales. A total of 52 species of grasses belonging to 10 tribes and 28 genera were recorded from 15 sampling sites in Neelum Valley, Azad Jammu and Kashmir. Physiochemical characteristics of the soil showed that most of the soil component varied significantly over different sites. The soil moisture content seemed to be closely related to the physical properties of the soil as well as to vegetation type. Morphological markers are helpful in the identification, differentiation and classification of the grasses at species, genus and tribe level. Significant variations in different morphological characters are observed in different genera of the same tribe and among the species of the same genus. Poaceae shows great variety in anatomical characteristics especially leaf anatomical parameters more than any other plant family and provides extensive data for systematic utilization. At root, stem and leaf level, anatomical characteristics of grasses showed significant variation among the tribes and within the species. Grasses showed angular prickles at the margin of the leaf in costal and intercostal zone, long cells with slightly sinuous walls, sharply pointed micro hairs and saddle, X or rounded shape silica bodies. Certain shapes of silica bodies were characteristic of grass subfamilies, e.g. dumbbell-shaped in panicoid grasses, saddle-shaped in most pooid grasses. Adaxial and abaxial surfaces of the leaf showed high number of ribs and ridges, with increase number of hairiness in most of the grasses. Tribe Paniceae, showed highly pointed angular bicelled prickles and micro hairs at the leaf margins that is characteristic feature of this tribe. Anatomical alterations such as enlarged succulence, sclerification, highly developed bulliform cells, endodermis in stem or roots and metaxylem area the indumentum of leaves and length and frequency of epidermal basis play an important role in the tolerance of various altitudinal stresses. The diversity in anatomical markers could be used to clarify the status of problematic taxa in different tribes. Presence of sclerenchyma strands on the abaxial side only makes the genus Cenchrus distinct it from the remaining species within the tribe. Saddle shaped silica bodies, microhairs and bulliform cells deeply penetrating the mesophyll were found the prominent characters of these tribes. The cladistics analysis of Andropogoneae showed Schizachyrium as the first branch within Andropogoneae, clustered with [Apluda+ Arthraxon]; then was sister to [Bothriochloa+ Heteropogon], collectively sister to the remaining crown clade ([Saccharum+Sorghum] + Capillipedium). Heteropogon spp. showed a close relationship with two xiv Bothriochloa spp. whereas, Capillepidium was found much closer to the species of Sorghum and Saccharum. Phylogenetic analysis of molecular data showed Apluda (Apluda mutica) at the first branch within tribe Andropogoneae, sister to the remaining genera with robust support (PP = 1.00, BS = 100; or 1.00/100). Arthraxon (Arthraxon hispidus) was sister to the left 6 genera (Saccharum, Sorghum, Capillipedium Schizachyrium, Heteropogon, and Bothriochloa) with high PP value (0.96), but no bootstrap values. The Saccharum+Sorghum clade was sister to the crown clade (1.00/64) without PP and BS. Within the crown clade, Schizachyrium clustered with the left genera ([Heteropogon + Capillipedium] + Bothriochloa) as sister (0.97/53); Heteropogon was sister to the genus Bothriochloa with strong support values (1.00/91). Almost all morpho-anatomical and physiological characteristics are species specific and also specific in their degree of tolerance to either cold stress or drought. However, some specific modifications like amount of sclerification, size and shape of bulliform cells, presence of storage parenchyma, nature of pubescence and stomatal size and area can be related to environmental conditions. It is, therefore, concluded that certain anatomical characteristics like presence of silica bodies, surface appendages, bulliform cells and pattern of sclerification can safely be used as important tools for the identification at species or lower rank and formal taxonomic and nomenclatural changes should surely only be encouraged, particularly at the species level, when the lineages within a phylogeny correlate with morphological characters.
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۔غزل

غزل۔۔۔رانا عامر لیاقت ،اسسٹنٹ کمشنر گجرات

ہو بھی جائے, تو بھی اکثر, نہیں ہوتا کوئی
ایک انسان ہی انسان کا دکھ سمجھے گا
اعتبار آئے گا تم پر مگر آتے آتے
جن شرائط پہ ترے ساتھ چلے جاتا ہوں! 
بعض اوقات تو میں خود سے بھی ڈر جاتا ہوں
 

 

اپنی اوقات سے باہر نہیں ہوتا کوئی
سخت ہو سکتا ہے، پتھر نہیں ہوتا کوئی
اک ملاقات میں ازبرنہیں ہوتا کوئی
دیکھ ۔۔۔!!  اس طرح میَسر نہیں ہوتا کوئی
اکثر اوقات مجھے ڈر نہیں ہوتا کوئی

علامہ زمخشری کا تصورنظم قرآن

Despite his being a staunch Mutazali, Allama Zamakhshari declares the Holy Quran to be a miracle on account of its unique coherence and cohesion. For the first time in the history of Quranic exegesis, he made a subject of the mutual juxtaposition of Quranic words, sentences, verses and surahs such discussions on the Quranic cohesion as are related to literary and communicative aspects such as metaphor, simile, allusion and syntax. Similarly, he demonstrated the Quranic cohesiveness by beautifully applying the roles and regulations of rhetoric on the verses of the Holy Quran. Such forms of coherence and cohesion did he adopt as can be declared as the fundamentals of the idea of the Quranic cohesion. In this regard, this article is the first such comprehensive study of the Tafseer e Kashaf.

Variational Models in Image Segmentation Using Fuzzy Set Theory

Computer vision is an important field in which techniques are developed to study and understand the properties and structure of a 3D scene present in a digital image (2D scene) and output is just some descriptive information. While an intermediate step to computer vision is field of image processing in which input and output are both images and has five main components, i.e image segmentation, detection, tracking, registration and shape analysis. Image segmentation is main concern of this research work in context of the theory of fuzzy sets [97]. The key to fuzzy sets is fuzzy membership (FMB) u obeys the constraint 0 6 u 6 1. Level set method (LSM) [66] which naturally handles splitting and merging of the evolving curve C, is a well established technique for performing image segmentation. In this thesis, to solve a partial differential equation numerically, a pseudo level set expression [38] relied on u alike LSM is used and the curve C is considered as pseudo zero level set of u. Fuzzy set is generalization to crisp set and is more generalized approach towards image domain classification based on idea of partial membership of belonging described by a FMB function. Therefore, in many real situations in images, issues like poor contrast, limited spatial resolution, overlapping intensities, noise and inhomogeneities produces fuzziness in the object boundaries and hence fuzzy set theoretic approach is an ultimate option to utilize. Utilizing such approach, we have developed five models for segmentation of variety of images. First model (see Chapter 4) is developed for segmenting images having multiobjects with variable intensities and background having maximum, minimum, average or cluttered intensities. For such achievements generalized averages are merged in kernel metric and FMB is utilized as region descriptor. Second model (see Chapter 5) developed uses approximate image in kernel metric obtained by multi scale filtering technique to ensure segmentation of images consisting of less or severe inhomogeneity. To tackle more complicated task of segmenting images having noise, texture and inhomogeneity at the same time our third model (see Chapter 6) is developed utilizing idea of measure of relative variability i.e coefficient of variation (COV), which is further extended to multiphase image segmentation model (see Chapter 7). Extraction of particular features in medical images is another very challenging task, to solve we have developed our selective segmentation model (SSM) (see Chapter 8) by utilizing idea of multi scale difference image with COV. Overall in this thesis, our main focuss is on the development of variational models in fuzzy sets framework. Evaluation of the proposed approach on a number of datasets and benchmark validate its superiority over other existing models in terms of accuracy and efficiency.