نتایج جستجو برای: qualitative and quantitative characters

تعداد نتایج: 16889768  

Journal: :journal of plant molecular breeding 2015
hajar abedinpour nad ali babaeian jelodar gholam ali ranjbar behrouz golein

having knowledge about genetic relationships among accessions is necessary for developing breeding strategies to produce improved cultivars. in present study, genetic diversity and inter-relationship among 29 genotypes of citrus were comparatively analyzed using morphological and rapd markers. significant variability was observed among citrus genotypes for 61 quantitative and qualitative morpho...

2016
Andrijana M. Andrić Milica M. Rat Lana N. Zorić Jadranka Ž. Luković

Anatomical characters of two morphologically similar Ornithogalum taxa, O. umbellatum and O. divergens, were investigated. An analysis of leaf and scapus cross-sections was performed on plants from ten populations from Serbia and Hungary, using light microscopy. The aim of this research was to give data about the qualitative and quantitative anatomical characteristics of these taxa, in order to...

1998
Sameer Singh

The main objective of this paper is to introduce a novel method of feature extraction for character data and develop a neural network system for recognising different Latin characters. In this paper we describe feature extraction, neural network development for character recognition and perform further neural network analysis on noisy image segments to explain the qualitative and quantitative a...

Journal: :iranian journal of veterinary medicine 2012
majid tavakoli dariush mehdifar

background: taxonomy and identification of the ticks in the genus hyalomma, the most significant vectors of animal and human pathogen agents, have always been debatable. scientists believe that variation within the taxa of the genus hyalomma is the most important factor which causes misidentification. objectives: the purpose of this study is to identify valuable characters for male h. anatolicu...

Journal: :پژوهش های تولید گیاهی 0

this experiment was conducted to investigate the genetic diversity, relationship between morphological, agronomic and qualitative traits and to identify components of forage yield using some multivariate statistical methods in local sainfoin populations. the experiment was conducted as randomized complete block design with four replications in isfahan university of technology research farm. res...

Journal: :به نژادی گیاهان زراعی و باغی 0
مهدی بیگدلو دانشجوی دکتری گروه علوم باغبانی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران وحیده ناظری دانشیار گروه علوم باغبانی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، کرج، ایران جواد هادیان استادیار گروه مهندسی کشاورزی، پژوهشکدة گیاهان و مواد اولیة دارویی، دانشگاه شهید بهشتی، تهران، ایران

evaluation of morphological variations in 70 genotypes of seven accessions of thymus caramanicus jalas.growing in central iran was carried out, for determining valuable characters for future breeding programs and medicinal purposes. in this study 30 quantitative and qualitative characters were evaluated. the results revealed great variabilities of important traits among populations. results of ...

Journal: :environmental resources research 0
mojtaba amiri faculty of natural resources, semnan university, semnan, iran. reza naghdi faculty of natural resources, semnan university, semnan, iran davud moghadasi department of natural resources and watershed management of golestan province, gorgan, iran,

the assessment of the quantitative and qualitative changes, the result of the impacts imposed by natural factors, and human interventions during specific sampling periods has a substantial influence on nature, management method and tending operation of every region’s forests. the present research was carried out in golestan province forests (iran) over an 11- year period and the obtained statis...

Journal: :School Science and Mathematics 1909

2018
Deepali Aneja Bindita Chaudhuri Alex Colburn Gary Faigin Linda Shapiro Barbara Mones

We present ExprGen, a system to automatically generate 3D stylized character expressions from humans in a perceptually valid and geometrically consistent manner. Our multi-stage deep learning system utilizes the latent variables of human and character expression recognition convolutional neural networks to control a 3D animated character rig. This end-to-end system takes images of human faces a...

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