3 research outputs found
Genome-wide association study identified one major quantitative trait locus associated with resistance to Fusarium proliferatum in soybean (Glycine max)
No full textFusarium root rot is a yield-limiting disease of soybean (Glycine max L.) in the United States and Canada (Ontario). Among the species of Fusarium causing root rot, F. proliferatum is a virulent pathogen. Sources of resistance to F. proliferatum have been identified; however, additional screening of soybean accessions is necessary to identify quantitative trait loci (QTLs) associated with resistance to F. proliferatum. The objective of this study was to evaluate 268 soybean accessions obtained from the USDA Germplasm Collection belonging to maturity groups 000 to IX for resistance to a single isolate of F. proliferatum under greenhouse conditions. Additionally, the study sought to identify QTLs, single-nucleotide polymorphism (SNP) markers, and candidate genes associated with the F. proliferatum resistance through a genome-wide association study (GWAS). The experiment was conducted in a completely randomized design using a layer inoculation method and repeated once. The root rot severity was assessed 21 days postinoculation and expressed as the relative treatment effect (RTE). Fifty-two accessions had a significantly lower RTE compared with the susceptible variety ‘Williams 82’ (ATS = 37.03; df = 7.30; P = 2.47 × 10⁻⁵⁴). GWAS analysis using 36,071 SNP markers identified one major QTL on chromosome 11 that explained 30.95% of the phenotype variance, three strongly associated SNP markers, and three candidate genes that could be involved in resistance to F. proliferatum. This study identified soybean accessions with resistance to F. proliferatum, along with novel SNP markers, which could significantly enhance breeding programs aimed at developing cultivars with resistance to Fusarium root rot.EEA PergaminoFil: Rafi, Nitha. North Dakota State University. Department of Plant Pathology; Estados UnidosFil: Dominguez, Matías. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Pergamino. Sector Girasol; ArgentinaFil: Mathew, Febina Merlin. North Dakota State University. Department of Plant Pathology; Estados Unido
Montgomery Multiplier for Faster Cryptosystems
No full textAbstractWith the advancement in communication systems, security is a prime concern which is offered by cryptosystems Modular arithmetic is core operation in most of the cryptosystems. Many cryptosystems including RSA, DSA and ECC systems requires modular multiplication for private key generation. It uses modular exponentiation of large numbers to encrypt data, which is a slow process due to repeated modular multiplications. The efficiency of cryptography systems practically depend on how fast the modular multiplication is done, since these are at the base of computation. Many hardware and software implementations for faster modular multiplication have been proposed, Montgomery Multiplication Algorithm is recognized as the most efficient among these. This paper presents a 32-bit implementation of a Faster Montgomery algorithm for performing modular multiplication. The algorithm is based on the method proposed by Montgomery for modular multiplication and is complementary to the available techniques. Simulation shows that our design performs faster in terms of clock frequency while it requires lower area
Hubungan Pembelajaran Blended Learning Berbasis Web Terhadap Minat Belajar Peserta Didik SMP Negeri 10 Bekasi
No full textPenulis melakukan penelitian dengan judul ”Hubungan Pembelajaran Blended learning Berbasis Web Terhadap Minat Belajar Peserta Didik SMP Negeri 10 Bekasi” untuk mengetahui apakah terdapat hubungan antara pembelajaran blended learning berbasis web yang dilakukan di sekolah SMP Negeri 10 Bekasi dengan minat belajar peserta didiknya. Penelitian ini menggunakan populasi pada seluruh peserta didik yang duduk di kelas VIII dengan total keseluruhan 354 dan penelitian ini menggunakan sampel pada populasi dengan jumlah 125 peserta didik. Teknik pengambilan sampel yang digunakan pada penelitian ini yaitu menggunakan teknik random sampling dengan memanfaatkan rumus RAND() yang sudah disediakan pada aplikasi microsoft excel dan setelah dilakukannya penginputan rumus RAND() peneliti mengambil sampel yang dibutuhkan dengan acak. Teknik pengumpulan data dilakukan dengan penyebaran angket kepada dua variabel yakni pembelajaran blended learning (X) dengan variabel minat belajar peserta didik (Y) dengan pengukuran skala likert. Hasil pada penelitian ini diuraikan kedalam beberapa point berikut (1) Diketahui nilai mean yang diatas rata-rata pada variabel (X) sebesar 69 atau 55%, untuk nilai dibawah rata-rata/mean sebesar 56 atau 45% pada variabel (Y) nilai diatas rata-rata sebesar 66 atau 53% dan nilai dibawah rata-rata sebesar 59 atau 47%. (2) Uji Linearitas antar variabel blended learning (X) dengan variabel minat belajar peserta didik (Y) didapatkan nilai signifikansi deviation from linearity sebesar 0,225 dengan maksud bahwa antar variabel terdapat hubungan yang linear. (3) Pada Uji Hipotesis dinyatakan bahwa terdapat hubungan antar variabel pembelajaran blended learning berbasis web (X) dengan variabel minat belajar peserta didik SMP Negeri 10 Bekasi(Y) dan bentuk hubungan antar variabel bersifat positif./ The author conducted a study entitled "The Relationship of Web-Based Blended learning to the Learning Interests of Students of SMP Negeri 10 Bekasi" to find out whether there is a relationship between web-based blended learning carried out at SMP Negeri 10 Bekasi schools and the interest in learning students. This study used a population in all students who were in class VIII with a total of 354 and this study used a sample in a population of 125 students. The sampling technique used in this study was to use a random sampling technique by utilizing the RAND() formula that had been provided in the Microsoft Excel application and after inputting the RAND() formula, the researcher took the required sample randomly. The data collection technique was carried out by distributing questionnaires to two variables, namely blended learning (X) learning with the variable of student learning interest (Y) with a likert scale measurement. The results of this study are described into the following points (1) It is known that the mean value is above the average in the variable (X) of 69 or 55%, for values below the average / mean of 56 or 45% in variables (Y) values above the average of 66 or 53% and values below the average of 59 or 47%. (2) Linearity test between blended learning variables (X) and learner learning interest variables (Y) obtained a deviation from linearity significance value of 0.225 with the intention that between variables there is a linear relationship. (3) In the Hypothesis Test, it is stated that there is a relationship between web-based blended learning variables (X) and variables in learning interest of students of SMP Negeri 10 Bekasi (Y) and the form of relationship between variables is positive
