Dissection of the genetic architecture for tassel branch number by QTL analysis in two related populations in maize

Tassel branch number （TBN） is the principal component of maize tassel inflorescence architecture and is a typical quan- titative trait controlled by multiple genes. The main objective of this research was to detect quantitative trait loci （QTLs） for TBN. The maize inbred line SICAU1212 was used as the common parent to develop BC1S1 and recombinant inbred line （RIL） populations with inbred lines 3237 and B73, respectively. The two related populations consisted of 123 and 238 lines, respectively. Each population was grown and phenotyped for TBN in two environments. Eleven QTLs were detected in the BC1S1 population, located on chromosomes 2, 3, 5, and 7, accounted for 4.45-26.58% of the phenotypic variation. Two QTLs （qB11Jtbn2-1, qB12Ctbn2-1, qBJtbn2-1; q11JBtbn5-1, qB12Ctbn5-1, qBJtbn5-1） that accounted for more than 10% of the phenotypic variation were identified. Three QTLs located on chromosomes 2, 3 and 5, exhibited stable expres- sion in the two environments. Ten QTLs were detected in the RIL population, located on chromosomes 2, 3, 5, 8, and 10, accounted for 2.69-13.58% of the TBN variation. One QTL （qR14Dtbn2-2） explained 〉10% of the phenotypic variation. One common QTL （qB12Ctbn2-2, qR14Dtbn2-2, qRJtbn2-2） was detected between the two related populations. Three pairs of epistatic effects were identified between two loci with or without additive effects and accounted for 1.19-4.26% of the phenotypic variance. These results demonstrated that TBN variation was mainly caused by major effects, minor effects and slightly modified by epistatic effects. Thus, identification of QTL for TBN may help elucidate the genetic basis of TBN and also facilitate map-based cloning and marker-assisted selection （MAS） in maize breeding programs.

QTL effects and epistatic interaction for flowering time and branch number in a soybean mapping population of Japanese×Chinese cultivars

Flowering time and branching type are important agronomic traits related to the adaptability and yield of soybean. Molecular bases for major flowering time or maturity loci, E1 to E4, have been identified. However, more flowering time genes in cultivars with different genetic backgrounds are needed to be mapped and cloned for a better understanding of flowering time regulation in soybean. In this study, we developed a population of Japanese cultivar（Toyomusume）×Chinese cultivar（Suinong 10） to map novel quantitative trait locus（QTL） for flowering time and branch number. A genetic linkage map of a F_2 population was constructed using 1 306 polymorphic single nucleotide polymorphism（SNP） markers using Illumina Soy SNP8 ki Select Bead Chip containing 7 189（SNPs）. Two major QTLs at E1 and E9, and two minor QTLs at a novel locus, qFT2_1 and at E3 region were mapped. Using other sets of F_2 populations and their derived progenies, the existence of a novel QTL of qFT2_1 was verified. qBR6_1, the major QTL for branch number was mapped to the proximate to the E1 gene, inferring that E1 gene or neighboring genetic factor is significantly contributing to the branch number.

Examining Internal Factors That Affect Banks＇ Performance Through Panel Regression Analysis

The importance of banks which constitutes the main structure of the financial system increased with globalization on the both sides of country and firm. Factors that affect banks＇ performance can be macroeconomic or internal factors relevant with banks. In this study, different internal factors that can have an impact on banks＇ profitability are examined with panel data analysis. The dataset which include 22 private, state or foreign owned deposit banks provided from the Association of Turkish Banking. Data contains the period between 2003-2008. Equity profitability has been chosen as dependent variable. Independent variables are market share and number of branches. According to the regression results, market share and number of branches has positive and significant effect on profitability .

Identification of QTLs for Branch Number in Oilseed Rape(Brassica napus L.)

Oilseed rape （Brassica napus L.） is one of the most important oil crops worldwide and provides about 50 percent of the vegetable oil supply in China （Yin et al., 2009）. The development of rapeseed varieties with higher yield is an effective measure to optimize balance between the supply and demand of edible vegetable oil. In oilseed rape, the number of silique per plant （SP） contributes most to the yield performance （Diepenbrock, 2000）. However, compared with the other two yield-component traits, seeds per silique （SS） and seed weight （SW）, SP is more sensitive to environmental changes （Li et al., 2007; Shi et al., 2009）. Therefore, it is difficult to perform the genetic improvement on SP trait directly in oilseed rape.

Generation Algorithm of a Sort of P-Permutations

This paper design the P-permutation with cryptologic properties beyond certain bound based on BCH code and Goppa code, which is the generalization of the design method utilizing the maximum distance separable （MDS） code, and presents the novel algorithms to generate the P-permutations with the branch number no less than a preset low bound. The new generation algorithms provide a theoretical basis for automation design of the cryptosystem.

Enumeration of Generalized Linear Orthomorphism in the Vector Space F_q^n

The conception of orthomorphism has been generalized in this paper, and a counting formula on the generalized linear orthomorphism in the vector space over the Galois field with the arbitrary prime number p as the characteristic is obtained. Thus, the partial generation algorithm of generalized linear orthomorphism is achieved. The counting formula of the linear orthomorphism in the vector space over the finite field with characteristic 2 is the special case in our results. Furthermore, the generalized linear orthomorphism generated and discussed in this paper can gain the maximum branch number when they are designed as P-permutations.

Upper Bounds of Differential Characteristic Probability for Unbalanced Feistel Network Employing DSM

In this paper, for the unbalanced Feistel network which employs diffusion matrices in a switching way, we study the fixed number of its differential active S-boxes. Firstly we obtain some lower bounds of the differential active S-boxes for m, 2m and 3m rounds of Feistel structure, respectively. By concatenating these rounds, a fixed number of differential active S-boxes for arbitrary round number is derived. Our results imply that the unbalanced Feistel network using DSM is more secure than the traditional structure.