Unmanned aerial system assisted framework for the selection of high yielding cotton genotypes

2018 ◽  
Vol 152 ◽  
pp. 74-81 ◽  
Author(s):  
Jinha Jung ◽  
Murilo Maeda ◽  
Anjin Chang ◽  
Juan Landivar ◽  
Junho Yeom ◽  
...  
2019 ◽  
Vol 1 (4) ◽  
pp. 23-27
Author(s):  
Saidzhamol T. Saidov ◽  
Viktor A. Dragavtsev ◽  
Asliddin T. Sadikov

This article presents the results of determining the attracting ability of the whole box and the degree of its differences depending on the genotypes, as well as its prospects for solving practical problems of selection of medium-fiber cotton. Consequently, among the genotypes studied by us, a significant amount of the attractive ability of a single box, the value of attraction and the mass of raw cotton per box differed in 10 combinations, which are economically the most productive.


2016 ◽  
Vol 16 (4) ◽  
pp. 340-347 ◽  
Author(s):  
Luiz Paulo de Carvalho ◽  
Francisco José Correia Farias ◽  
Camilo de Lellis Morello ◽  
Paulo Eduardo Teodoro

Aviation ◽  
2013 ◽  
Vol 17 (2) ◽  
pp. 57-64
Author(s):  
Mykola Kulyk ◽  
Valeriy Silkov ◽  
Alexei Samkov

Methods to solve the problems of the comparative assessment and selection of unmanned aerial systems are offered. These methods are based on the particular indicators that display the efficiency of unmanned aerial system application. An algorithm that helps to solve such problems has been developed to create a system of support and decision making and to optimise the distribution of resources.


2019 ◽  
Vol 4 (4) ◽  
pp. 72
Author(s):  
Sattar Dorafshan ◽  
Robert J. Thomas ◽  
Calvin Coopmans ◽  
Marc Maguire

Small unmanned aerial system(s) (sUAS) are rapidly emerging as a practical means of performing bridge inspections. Under the right condition, sUAS assisted inspections can be safer, faster, and less costly than manned inspections. Many Departments of Transportation in the United States are in the early stages of adopting this emerging technology. However, definitive guidelines for the selection of equipment for various types of bridge inspections or for the possible challenges during sUAS assisted inspections are absent. Given the large investments of time and capital associated with deploying a sUAS assisted bridge inspection program, a synthesis of authors experiences will be useful for technology transfer between academics and practitioners. In this paper, the authors list the challenges associated with sUAS assisted bridge inspection, discuss equipment and technology options suitable for mitigating these challenges, and present case studies for the application of sUAS to several specific bridge inspection scenarios. The authors provide information to sUAS designers and manufacturers who may be unaware of the specific challenges associated with sUAS assisted bridge inspection. As such, the information presented here may reveal the demands in the design of purpose-built sUAS inspection platforms.


Author(s):  
Md. Abdul Wahab ◽  
Shamim Ara Sumi ◽  
Absana Islam ◽  
M. E. Houqe

Cotton (Gossypium hirsutum L) is considered as major textile fiber around the world. This research aimed to analyze the molecular diversity among 9 cotton genotypes collected from Cotton Development Board, Bangladesh using the 7 Random Amplified Polymorphic DNA (RAPD) markers. Some total of 18 DNA bands were obtained and among them, 13 were polymorphic bands. The range of DNA amplification varied from 180 to 800 bp. The percentage of polymorphism was about 50.71. Genetic diversity ranged from 0.22 to 0.44 with an average value of 0.34. Nei’s genetic distance ranging from 0.1667 to 0.6667 and most importantly PIC value ranged from 0.18 to 0.35 with an average value of 0.27. The PIC value indicated that most of the studied cotton genotypes were moderately diversified and homogenous as well as no heterozygosity found. A dendrogram indicating the relative genetic similarity of the Bangladeshi cotton genotypes was constructed which followed in two major clusters (A and B) among the studied material. The Cotton Development Board (CDB), Bangladesh committed to working on cotton improvement and this investigation will be helpful for the selection of diversified genotypes in varietal improvement in cotton. The output of this research will be a baseline for future molecular research work on cotton genotypes in Bangladesh.


2018 ◽  
Vol 270 ◽  
pp. 44-50 ◽  
Author(s):  
Taiza da Cunha Soares ◽  
Carliane Rebeca Coelho da Silva ◽  
Julita Maria Frota Chagas Carvalho ◽  
José Jaime Vasconcelos Cavalcanti ◽  
Liziane Maria de Lima ◽  
...  

2021 ◽  
Vol 25 (04) ◽  
pp. 768-776
Author(s):  
Shakra Jamil

DNA fingerprinting is rapid, easy, and efficient method for discrimination, identification and characterization of various genotypes for protection of plant breeder’s rights (PBRs). Present study was designed for DNA fingerprinting and genetic diversity assessment of 25 GM cotton genotypes (possessing Cry1Ac gene) using 297 SSR markers through conventional PCR and Polyacrylamide gel electrophoresis. Out of 297 SSR markers, 25 markers were not amplified, 28 were monomorphic and 244 were polymorphic. A total of 1537 alleles were amplified among which 1294 (84.18%) were polymorphic. PIC value in our study ranged from 0.08 to 0.93 with an average of 0.73. Unique allelic pattern was observed for nineteen genotypes whereas six genotypes were identified using two-step identification methods. The UPGMA dendrogram divided the genotypes into two distinct clusters. Cluster I was comprised of 20 genotypes whereas cluster II was comprised of four genotypes. MNH-1020 did not obey any clustering and remained separated. The results of the structure analysis were complementary to cluster analysis and the population was divided into two subgroups. Our results evidenced narrow genetic base of the cotton genotypes cultivated in Punjab Pakistan due to use of common parents in the pedigree/parentage. Further, we proposed a core set of markers for future DNA fingerprinting and genetic diversity studies. The information generated in this study will be helpful in variety registration and subsequent protection under PBRs. Further our findings will be useful in selection of SSR markers for future studies which are focused on DNA fingerprinting and genetic diversity assessment. © 2021 Friends Science Publishers


2022 ◽  
Vol 354 (11-12) ◽  
pp. 109-113
Author(s):  
A. T. Sadikov

The most important factor in the intensification and rise of the production of the cotton industry in Tajikistan is the selection of new varieties characterized by high yield and its quality. The increase in the production of the cotton industry can be achieved not by expansion of acreage, since this possibility is very limited in a mountainous country, but by breeding new varieties of cotton and spreading them into production. The use of photosynthetic test characteristics in breeding contributes to the process of creating new varieties that meet the demand of agricultural production and the textile industry, i.e. varieties with a complex of economically useful features — precocity, high productivity, resistance to diseases and pests, optimal adaptive properties, characterized by high fiber yield and its technological quality. By methods of hybridization and selection by offspring on the basis of photosynthetic test characteristics from domestic and foreign variety samples, 28 introgressive genotypes were created that are characterized by complex of economically useful traits. It was found that out of the 28 genotypes of medium-fiber cotton studied by us, according to the main indicators of productivity — the number of full-fledged boxes per plant, the mass of raw cotton of one box and the yield — 6 genotypes were notable. The number of boxes per plant in the most productive was 12–15 pieces, the mass of raw cotton of one box is up to 6.6 g, and the yield of raw cotton is from 71.5 to 93.0 g/plant, which is significantly higher than in the standard Hisor variety.


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