Earticle

초록

영어

Genomic Selection (GS) is one of the accelerating breeding methods. With the advent of high throughput molecular technology, numerous molecular markers distributed throughout the whole genome can be developed to characterize many genetic entries involving new perspectives in methodology of selection. In tree breeding the GS could significantly reduce the cost of genetic improvement schemes by limiting the size and number of field experiments. In this study, we used 5,228 trees of 46 half-sib F1 families from 6 environments in Korea and we got 97,647 SNPs via GBS (Genotyping by Sequencing). And then, we designed the high-resolution DNA chip (200K chip) to validate whole SNPs. Finally, we selected and produced the 50K SNPs chip for genotyping of Korean red pine trees. Now, we are preparing to analyze 4,412 trees which are confirmed the pedigree. In order to successfully performed GS, not only the genetic analysis of trees but also accurate phenotypic analysis is very important. Here, we present a novel approach to automatically measurement of tree phenotypes using drone and ground-based scanner. The actual utility of this scanner depends largely on the efficacy of point cloud data (PCD) analysis. The quantified data of each tree was validated using laborious measurements. The results showed that the individual tree growth was accurately reproduced using our method from three dimension registered scans, with a relative deviation of less than 5%. Therefore, we want to apply this method of phenotype analysis for accelerating breeding and management of large-scale progeny test site.

키워드

저자

• Dong-Hwan Shim [ Department of Forest Bio-resources, National Institute of Forest Science, Suwon, Republic of Korea ] Corresponding Author
• Seok-Woo Lee [ Department of Forest Bio-resources, National Institute of Forest Science, Suwon, Republic of Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  강원대학교 산림과학연구소 학술대회

• 간기

  부정기

• 수록기간

  2017~2024

• 십진분류

  KDC 526 DDC 634