Perancangan Peraga LED Terprogram Berbasis Mikrokontroler AT89C52

Dengan tersedianya mikrokontroler yang memiliki berbagai fasilitas serta murahnya harga PC yang ditawarkan, maka peluang untuk merancang peralatan pengendalian LED untuk berbagai keperluan menjadi sangat terbuka. Tujuan dari penelitian ini adalah merancang dan menguji peraga LED terprogram berbasis mikrokontroler AT89C52. Alat penampil LED matrik dirancang data-nya bisa dimasukan secara otomatis, sehingga LED dapat menampilkan data dengan segera. Perancangan sistem penampil LED matrik yang dibuat meliputi dua bagian utama yaitu bagian perangkat keras dan bagian perangkat lunak. Perangkat keras meliputi mikrokontroler AT89C52 sebagai pusat pengontrol, penggerak kolom dan penggerak baris serta LED matrik untuk menampilkan data. Perangkat lunak meliputi bahasa mesin mikrokontroler dan untuk berhubungan dengan PC menggunakan Borland Delphi. Pengujian dilakukan dengan membandingkan tampilan LED matrik dengan data masukan dari PC. Alat ini dapat mengendalikan dan menampilkan LED sesuai data yang diberikan. LED matrik dapat menampilkan empat baris teks yang masing-masing baris maksimal enam karakter, gambar serta animasi running text (teks berjalan)

Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array

Cotton germplasm resources contain beneficial alleles that can be exploited to develop germplasm adapted to emerging environmental and climate conditions. Accessions and lines have traditionally been characterized based on phenotypes, but phenotypic profiles are limited by the cost, time, and space required to make visual observations and measurements. With advances in molecular genetic methods, genotypic profiles are increasingly able to identify differences among accessions due to the larger number of genetic markers that can be measured. A combination of both methods would greatly enhance our ability to characterize germplasm resources. Recent efforts have culminated in the identification of sufficient SNP markers to establish high-throughput genotyping systems, such as the CottonSNP63K array, which enables a researcher to efficiently analyze large numbers of SNP markers and obtain highly repeatable results. In the current investigation, we have utilized the SNP array for analyzing genetic diversity primarily among cotton cultivars, making comparisons to SSR-based phylogenetic analyses, and identifying loci associated with seed nutritional traits. (Résumé d'auteur

Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array

Background Cotton germplasm resources contain beneficial alleles that can be exploited to develop germplasm adapted to emerging environmental and climate conditions. Accessions and lines have traditionally been characterized based on phenotypes, but phenotypic profiles are limited by the cost, time, and space required to make visual observations and measurements. With advances in molecular genetic methods, genotypic profiles are increasingly able to identify differences among accessions due to the larger number of genetic markers that can be measured. A combination of both methods would greatly enhance our ability to characterize germplasm resources. Recent efforts have culminated in the identification of sufficient SNP markers to establish high-throughput genotyping systems, such as the CottonSNP63K array, which enables a researcher to efficiently analyze large numbers of SNP markers and obtain highly repeatable results. In the current investigation, we have utilized the SNP array for analyzing genetic diversity primarily among cotton cultivars, making comparisons to SSR-based phylogenetic analyses, and identifying loci associated with seed nutritional traits. Results The SNP markers distinctly separated G. hirsutum from other Gossypium species and distinguished the wild from cultivated types of G. hirsutum. The markers also efficiently discerned differences among cultivars, which was the primary goal when designing the CottonSNP63K array. Population structure within the genus compared favorably with previous results obtained using SSR markers, and an association study identified loci linked to factors that affect cottonseed protein content. Conclusions Our results provide a large genome-wide variation data set for primarily cultivated cotton. Thousands of SNPs in representative cotton genotypes provide an opportunity to finely discriminate among cultivated cotton from around the world. The SNPs will be relevant as dense markers of genome variation for association mapping approaches aimed at correlating molecular polymorphisms with variation in phenotypic traits, as well as for molecular breeding approaches in cotton.This article is published as Hinze, Lori L., Amanda M. Hulse-Kemp, Iain W. Wilson, Qian-Hao Zhu, Danny J. Llewellyn, Jen M. Taylor, Andrew Spriggs et al. "Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array." BMC plant biology 17, no. 1 (2017): 37. 10.1186/s12870-017-0981-y</p

Additional file 3: of Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array

Individual matrices with numbers of different and identical SNPs for entries with the same name. These values were extracted directly from Additional file 5. Values above the diagonal represent the count of homozygous differences between pairs of samples. Values below the diagonal represent the number of identical SNPs genotyped between pairs. Heterozygous SNPs within samples were not counted in the number of differences between samples. SNP numbers were determined using all SNPs on the CottonSNP63K array. Five samples are included here that were identified as outliers and not used in the diversity analysis. (XLSX 17 kb

Additional file 1: of Diversity analysis of cotton (Gossypium hirsutum L.) germplasm using the CottonSNP63K Array

Results and discussion in relation to the removal of admixed/misclassified samples. Five samples were removed from overall SNP diversity analysis, and three samples were removed from the comparison of SNP and SSR data. This file presents the original results and discusses why the samples were subsequently removed. For the original diversity analysis, this file includes the MDS figures, Venn diagrams of unique and shared SNPs, and distribution of pairwise IBS values when these samples are included. Likewise, for the comparison of SNP and SSR data, the original principal coordinate analyses and the plots comparing SNP- and SSR-based genetic similarity are shown. (DOCX 325 kb