STRATEGI PEMILIHAN JENIS TANAMAN UNTUK MENDUKUNG  REHABILITASI PESISIR BERDASARKAN KARAKTERISTIK FISIK MAKRO  DI MUARA SUNGAI PROGO (Strategy of Plant-Species Selection for Coastal Rehabilition  Based on Macro-physical Characteristics in Progo Estuary)

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.

Download Full-text

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

Frontiers in Ecology and Evolution ◽

10.3389/fevo.2021.570454 ◽

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.

Download Full-text

The Google Lens analyzing quality: an analysis of the possibility to use in the educational process

Освітній вимір ◽

10.31812/educdim.v53i1.3844 ◽

2019 ◽

Vol 53 (1) ◽

pp. 219-234

Author(s):

Viktor B. Shapovalov ◽

Yevhenii B. Shapovalov ◽

Zhanna I. Bilyk ◽

Anna P. Megalinska ◽

Ivan O. Muzyka

Keyword(s):

Plant Species ◽

Stem Education ◽

Physical Characteristics ◽

Educational Process ◽

Mobile Software ◽

Local Endemic ◽

High Result ◽

Plant Stem ◽

Recognition Efficiency ◽

Made In

Biology is a fairly complicated initial subject because it involves knowledge of biodiversity. Google Lens is a unique, mobile software that allows you to recognition species and genus of the plant student looking for. The article devoted to the analysis of the efficiency of the functioning of the Google Lens related to botanical objects. In order to perform the analysis, botanical objects were classified by type of the plant (grass, tree, bush) and by part of the plant (stem, flower, fruit) which is represented on the analyzed photo. It was shown that Google Lens correctly identified plant species in 92.6% cases. This is a quite high result, which allows recommending this program using during the teaching. The greatest accuracy of Google Lens was observed under analyzing trees and plants stems. The worst accuracy was characterized to Google Lens results of fruits and stems of the bushes recognizing. However, the accuracy was still high and Google Lens can help to provide the researches even in those cases. Google Lens wasn’t able to analyze the local endemic Ukrainian flora. It has been shown that the recognition efficiency depends more on the resolution of the photo than on the physical characteristics of the camera through which they are made. In the article shown the possibility of using the Google Lens in the educational process is a simple way to include principles of STEM-education and “New Ukrainian school” in classes.

Download Full-text