Multi-criteria-based Plant Species Selection for Gully and Riverbank Stabilization in a Sub-humid Tropical Area

2017 ◽  
Vol 28 (5) ◽  
pp. 1675-1686 ◽  
Author(s):  
Ayalew Talema ◽  
Jean Poesen ◽  
Bart Muys ◽  
Bert Reubens ◽  
Hirko Dibaba ◽  
...  
Keyword(s):  
Plant Species ◽  
Species Selection ◽  
Tropical Area ◽  
Selection For

Indicator plant species selection for monitoring the impact of climate change based on prediction uncertainty

2013 ◽  
Vol 29 ◽  
pp. 307-315 ◽  
Author(s):  
Motoki Higa ◽  
Katsuhiro Nakao ◽  
Ikutaro Tsuyama ◽  
Etsuko Nakazono ◽  
Masatsugu Yasuda ◽  
...  
Keyword(s):  
Climate Change ◽  
Plant Species ◽  
Species Selection ◽  
Indicator Plant ◽  
Impact Of Climate Change ◽  
Prediction Uncertainty ◽  
Selection For ◽  
The Impact

Vegetative functional traits guide plant species selection for initial mineland rehabilitation

2020 ◽  
Vol 148 ◽  
pp. 105763 ◽  
Author(s):  
Markus Gastauer ◽  
Priscila Sanjuan de Medeiros Sarmento ◽  
Vitor Cirilo Araujo Santos ◽  
Cecílio Frois Caldeira ◽  
Silvio Junio Ramos ◽  
...  
Keyword(s):  
Plant Species ◽  
Functional Traits ◽  
Species Selection ◽  
Selection For

scholarly journals Decision-making criteria for plant-species selection for phytostabilization: Issues of biodiversity and functionality

2017 ◽  
Vol 201 ◽  
pp. 215-226 ◽  
Author(s):  
Ahlem Ellili ◽  
Jacques Rabier ◽  
Pascale Prudent ◽  
Marie-Dominique Salducci ◽  
Alma Heckenroth ◽  
...  
Keyword(s):  
Decision Making ◽  
Plant Species ◽  
Species Selection ◽  
Selection For ◽  
Decision Making Criteria

scholarly journals Why and How to Switch to Genomic Selection: Lessons From Plant and Animal Breeding Experience

2021 ◽  
Vol 12 ◽  
Author(s):  
◽  
Aline Fugeray-Scarbel ◽  
Catherine Bastien ◽  
Mathilde Dupont-Nivet ◽  
Stéphane Lemarié
Keyword(s):  
Genetic Diversity ◽  
Genomic Selection ◽  
Plant Species ◽  
Animal Species ◽  
Animal Breeding ◽  
Breeding Cycle ◽  
Breeding Programs ◽  
The Third ◽  
Wide Range ◽  
Selection For

The present study is a transversal analysis of the interest in genomic selection for plant and animal species. It focuses on the arguments that may convince breeders to switch to genomic selection. The arguments are classified into three different “bricks.” The first brick considers the addition of genotyping to improve the accuracy of the prediction of breeding values. The second consists of saving costs and/or shortening the breeding cycle by replacing all or a portion of the phenotyping effort with genotyping. The third concerns population management to improve the choice of parents to either optimize crossbreeding or maintain genetic diversity. We analyse the relevance of these different bricks for a wide range of animal and plant species and sought to explain the differences between species according to their biological specificities and the organization of breeding programs.

scholarly journals A Web-Based Software Platform for Restoration-Oriented Species Selection Based on Plant Functional Traits

2021 ◽  
Vol 9 ◽  
Author(s):  
Chen Wang ◽  
Shuguang Jian ◽  
Hai Ren ◽  
Junhua Yan ◽  
Nan Liu
Keyword(s):  
Plant Species ◽  
Functional Traits ◽  
Selection Process ◽  
Plant Functional Traits ◽  
Species Selection ◽  
Software Platform ◽  
Web Based ◽  
Successful Case ◽  
The Future ◽  
Degraded Ecosystems

Plant functional traits are fundamental to the understanding of plant adaptations and distributions. Recently, scientists proposed a trait-based species selection theory to support the selection of suitable plant species to restore the degraded ecosystems, to prevent the invasive exotic species and to manage the sustainable ecosystems. Based on this theory, in a previous study, we developed a species screening model and successfully applied it to a project where plant species were selected for restoring a tropical coral island. However, during this process we learned that a software platform is necessary to automate the selection process because it can flexible to assist users. Here, we developed a generalized software platform called the “Restoration Plant Species Selection (RPSS) Platform.” This flexible software is designed to assist users in selecting plant species for particular purposes (e.g., restore the degraded ecosystems and others). It is written in R language and integrated with external R packages, including the packages that computing similarity indexes, providing graphic outputs, and offering web functions. The software has a web-based graphical user interface that allows users to execute required functions via checkboxes and buttons. The platform has cross-platform functionality, which means that it can run on all common operating systems (e.g., Windows, Linux, macOS, and others). We also illustrate a successful case study in which the software platform was used to select suitable plant species for restoration purpose. The objective of this paper is to introduce the newly developed software platform RPSS and to provide useful guidances on using it for various applications. At this step, we also realized that the software platform should be constantly updated (e.g., add new features) in the future. Based on the existing successful application and the possible updates, we believe that our RPSS software platform will have broader applications in the future.

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