scholarly journals Biométria de frutos e sementes de Luetzelburgia auriculata (Allemão) Ducke

Author(s):  
Roberto Ferreira Barroso ◽  
Francisco De Assis Silva ◽  
Jackson Silva Nobrega ◽  
Luanderson José da Silva e Silva ◽  
Danilo Brito Novaes ◽  
...  

<p>A Caatinga apresenta uma grande diversidade de espécies vegetais<strong>, </strong>dentre elas <em>Luetzelburgia auriculata</em> é uma das espécies predominantes no bioma, desempenhando papel fundamental para o ecossistema local. Este trabalho objetivou descrever as características biométricas de frutos e sementes de <em>Luetzelburgia</em><strong><em> auriculata. </em></strong><strong><em> </em></strong>Para a descrição das características da semente foram coletados 200 frutos e 200 sementes de plantas nativas do município de Santa Helena, Paraíba. As amostras foram encaminhadas ao Laboratório de Nutrição Mineral de Plantas do Centro de Saúde e Tecnologia Rural de Universidade Federal de Campina Grande para a realização das devidas aferições biométricas. Os frutos foram analisado pelo comprimento, espessura superior, mediana e inferior; largura superior, mediana e inferior. Para as sementes, foram analisados comprimento, espessura e a largura. Verificou-se que o comprimento dos frutos variou de 50,7 a 98,2 cm, a espessura de 6,00 a 17 mm e largura variando de 12,4 a 21,8 mm. Em relação às sementes, 46% se enquadraram na classe de comprimento com intervalo de 19,9 a 20,8 mm. A espécie <em>Luetzelburgia auriculata</em> apresentam variabilidade nas características biométricas de frutos e sementes</p><p align="center"><strong><em>Biometrics of fruit and seeds of </em></strong><em>Luetzelburgia auriculata (Allemão) Ducke</em></p><p><strong>Abstract: </strong>The Caatinga presents a great diversity of plant species, among them the woodpecker (<em>Luetzelburgia auriculata</em> (Allemao) Ducke.) is one of the predominant species in the biome, playing a fundament al role for the local ecosystem. This work aimed to describe the biometric characteristics of fruits and seeds of Pau de Pedra. For the description of the characteristics of the <em>Luetzelburgia auriculata</em> (Allemão) Ducke seed, 200 fruits and 200 seeds of native plants of the municipality of Santa Helena, Paraíba state were collected for biometry and seed mass. Afterwards they were packed in plastic bags and properly identified and taken to Laboratório de Nutrição Mineral de Plantas do Centro de Saúde e Tecnologia Rural Universidade Federal de Campina Grande, where the biometric measurements were continued. The fruit was analyzed for its length, the upper, median and inferior thickness; Upper, median and lower width. The seed was analyzed for length, thickness and width. It was verified that the length of the fruits varied from 50.7 to 98.2 cm, the thickness with 6.00 to 17 mm and width ranging from 12.4 to 21.8 mm. Regarding the seeds, 46% were in the length class with a range of 19.9 to 20.8 mm. From the evaluations we conclude that the species <em>Luetzelburgia auriculata</em> present variability in the biometric characteristics of fruits and seeds, and the morphological description of the fruit and the seed constitutes the importance of the species recognition.</p><p> </p>

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 356
Author(s):  
Shubham Mahajan ◽  
Akshay Raina ◽  
Xiao-Zhi Gao ◽  
Amit Kant Pandit

Plant species recognition from visual data has always been a challenging task for Artificial Intelligence (AI) researchers, due to a number of complications in the task, such as the enormous data to be processed due to vast number of floral species. There are many sources from a plant that can be used as feature aspects for an AI-based model, but features related to parts like leaves are considered as more significant for the task, primarily due to easy accessibility, than other parts like flowers, stems, etc. With this notion, we propose a plant species recognition model based on morphological features extracted from corresponding leaves’ images using the support vector machine (SVM) with adaptive boosting technique. This proposed framework includes the pre-processing, extraction of features and classification into one of the species. Various morphological features like centroid, major axis length, minor axis length, solidity, perimeter, and orientation are extracted from the digital images of various categories of leaves. In addition to this, transfer learning, as suggested by some previous studies, has also been used in the feature extraction process. Various classifiers like the kNN, decision trees, and multilayer perceptron (with and without AdaBoost) are employed on the opensource dataset, FLAVIA, to certify our study in its robustness, in contrast to other classifier frameworks. With this, our study also signifies the additional advantage of 10-fold cross validation over other dataset partitioning strategies, thereby achieving a precision rate of 95.85%.


2018 ◽  
Vol 155 ◽  
pp. 150-156 ◽  
Author(s):  
Shanwen Zhang ◽  
Chuanlei Zhang ◽  
Wenzhun Huang

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260390
Author(s):  
Kowiyou Yessoufou ◽  
Annie Estelle Ambani ◽  
Hosam O. Elansary ◽  
Orou G. Gaoue

Understanding why alien plant species are incorporated into the medicinal flora in several local communities is central to invasion biology and ethnobiology. Theories suggest that alien plants are incorporated in local pharmacopoeias because they are more versatile or contribute unique secondary chemistry which make them less therapeutically redundant, or simply because they are locally more abundant than native species. However, a lack of a comprehensive test of these hypotheses limits our understanding of the dynamics of plants knowledge, use and potential implications for invasion. Here, we tested the predictions of several of these hypotheses using a unique dataset on the woody medicinal flora of southern Africa. We found that the size of a plant family predicts the number of medicinal plants in that family, a support for the non-random hypothesis of medicinal plant selection. However, we found no support for the diversification hypothesis: i) both alien and native plants were used in the treatment of similar diseases; ii) significantly more native species than alien contribute to disease treatments particularly of parasitic infections and obstetric-gynecological diseases, and iii) alien and native species share similar therapeutic redundancy. However, we found support for the versatility hypothesis, i.e., alien plants were more versatile than natives. These findings imply that, although alien plant species are not therapeutically unique, they do provide more uses than native plants (versatility), thus suggesting that they may not have been introduced primarily for therapeutic reasons. We call for similar studies to be carried out on alien herbaceous plants for a broader understanding of the integration of alien plants into the pharmacopoeias of the receiving communities.


2012 ◽  
Vol 126 (2) ◽  
pp. 157 ◽  
Author(s):  
Alwynne B. Beaudoin ◽  
Yves Beaudoin

We observed White-tailed Jackrabbits (Lepus townsendii) eating spike plants (Cordyline australis), a non-native ornamental garden plant, in our front yard within the city of Edmonton, Alberta. We have noted this persistent behaviour every winter between 2006-2007 and 2011-2012. By late January, the plants were usually eaten right down to the stem base. We suggest that the White-tailed Jackrabbits turn to this food source in winter when more preferred foods are lacking, are in short supply, or are not as readily accessible. Our observations add another plant species to the list of non-native plants consumed by White-tailed Jackrabbits.


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