Literature DB >> 29368867

[Methods of high-throughput plant phenotyping for large-scale breeding and genetic experiments].

D A Afonnikov, M A Genaev, A V Doroshkov, E G Komyshev, T A Pshenichnikova.   

Abstract

Phenomics is a field of science at the junction of biology and informatics which solves the problems of rapid, accurate estimation of the plant phenotype; it was rapidly developed because of the need to analyze phenotypic characteristics in large scale genetic and breeding experiments in plants. It is based on using the methods of computer image analysis and integration of biological data. Owing to automation, new approaches make it possible to considerably accelerate the process of estimating the characteristics of a phenotype, to increase its accuracy, and to remove a subjectivism (inherent to humans). The main technologies of high-throughput plant phenotyping in both controlled and field conditions, their advantages and disadvantages, and also the prospects of their use for the efficient solution of problems of plant genetics and breeding are presented in the review.

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Mesh:

Year:  2016        PMID: 29368867

Source DB:  PubMed          Journal:  Genetika        ISSN: 0016-6758


  3 in total

1.  QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing.

Authors:  Mian Abdur Rehman Arif; Evgenii G Komyshev; Mikhail A Genaev; Vasily S Koval; Nikolay A Shmakov; Andreas Börner; Dmitry A Afonnikov
Journal:  Plants (Basel)       Date:  2022-08-12

Review 2.  Biotechnological Approaches for Genetic Improvement of Lemon (Citrus limon (L.) Burm. f.) against Mal Secco Disease.

Authors:  Chiara Catalano; Mario Di Guardo; Gaetano Distefano; Marco Caruso; Elisabetta Nicolosi; Ziniu Deng; Alessandra Gentile; Stefano Giovanni La Malfa
Journal:  Plants (Basel)       Date:  2021-05-17

3.  Proposal of a New Hybrid Breeding Method Based on Genotyping, Inter-Pollination, Phenotyping and Paternity Testing of Selected Elite F1 Hybrids.

Authors:  Katarina Rudolf-Pilih; Marko Petkovšek; Jernej Jakše; Nataša Štajner; Jana Murovec; Borut Bohanec
Journal:  Front Plant Sci       Date:  2019-09-18       Impact factor: 5.753

  3 in total

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