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     Advance Journal of Food Science and Technology


Theories and Technical Systems for Crop Grey Breeding Science and Their Applications

Guo Ruilin, Lu Zhifang, Liu Yafei, Zhang Shulin and Wu Qiufang
School of Biological and Food Engineering, Anyang Institute of Technology, Anyang 455000, P.R. China
Advance Journal of Food Science and Technology  2016  10:780-786
http://dx.doi.org/10.19026/ajfst.10.2261  |  © The Author(s) 2016
Received: July ‎2, ‎2015  |  Accepted: August ‎11, ‎2015  |  Published: April 05, 2016

Abstract

This study discussed the discipline structure of crop grey breeding science and its features and summarized the theories and technical systems for crop grey breeding science which are consisted of five systems, eight theories, nine principles, a technical route and a computer decision-making system. Under the guidance of the theories and methods, breeding workers have bred 27 new varieties, such as 4 wheat varieties, 3 mung bean varieties, 6 cotton varieties, 4 millet varieties, 1 soybean variety, 1 cowpea variety, 1 pumpkin variety, 1 sweet corn variety, 2 mulberry varieties, 1 silkworm variety, 3 reygrass varieties and so on. The popularization and application of these varieties in production has huge economic and social benefits, thus provides a strong support for the feasibility of theories and technical systems of crop grey breeding science from the perspective of breeding practice.

Keywords:

Application, crop, crop grey breeding science, technical system, theory,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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