breeding application
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Author(s):  
E. Islamov ◽  
◽  
G. Kulmanova ◽  
B. Kulataev ◽  
D. Bekbaeva ◽  
...  

This article presents the results of the first stage of research work on the use of the Romney March gene pool of sheep breed based on the laparascopic method of insemination of Kazakh meat-wool semi-fine sheep. The work was performed within the framework of scientific and technical program: "Development of effective methods of selection by branches of animal husbandry for 2018-2020", on task "Development of effective methods of selection in sheep breeding (application of genetics of Romney marsh breed).


2021 ◽  
Vol 189 ◽  
pp. 106385
Author(s):  
Maxime Ryckewaert ◽  
Nathalie Gorretta ◽  
Fabienne Henriot ◽  
Alexia Gobrecht ◽  
Daphné Héran ◽  
...  

2021 ◽  
Vol 47 (11) ◽  
pp. 2091-2098
Author(s):  
Fu-Yan ZHANG ◽  
Zhong-Jie CHENG ◽  
Xiao-Jie CHEN ◽  
Jia-Huan WANG ◽  
Feng CHEN ◽  
...  

2021 ◽  
pp. 59-94
Author(s):  
Takumi Okamoto ◽  
Xiaochun Wei ◽  
Hasan Mehraj ◽  
Mohammad Rashed Hossain ◽  
Ayasha Akter ◽  
...  

10.29007/2hqr ◽  
2019 ◽  
Author(s):  
Chaney Courtney ◽  
Mitchell Neilsen

Plant scientists around the world have expert-specified systems for dealing with sample breeding. The ability to track parents and their future progeny should be an intuitive and easy task for these systems. Surprisingly, breeders have a handful of various techniques that have little to no centralized protocol. This paper focuses on a novel implementation by Kansas State University’s Cyber Physical Systems lab, the Android application, Intercross. Intercross is the newest addition to the PhenoApps organization’s set of open source applications. This new application is a generic cross tracking system; however, because there are various methodologies for breeding this task is not trivial. This paper will expand on the non-trivial nature of crossing samples and why this system is needed. Previous systems that were used to track crosses are either outdated, do not exist, or are inefficient.


2019 ◽  
Vol 61 (6) ◽  
pp. 654-657 ◽  
Author(s):  
Jianbing Yan ◽  
Bao‐Cai Tan

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