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In this paper, we develop the extended Weibull family of distributions to a bivariate class using the Farlie–Gumbel–Morgenstern copula. This is called the bivariate Farlie–Gumbel–Morgenstern extended Weibull family, and some of its properties are investigated. Some special cases of this family and their correlation coefficient are found. Also, the maximum correlation coefficient of most special cases is investigated. We study the concomitants of generalized order statistics from this new class of Morgenstern bivariate distribution and obtain some relevant relations for single and product moments of concomitants. Some well-known information measures such as the Shannon entropy and extropy for concomitants are derived.

The concept of generalized order statistics (gos) has been introduced as a unified models of ordered random variables. In this paper, we find some properties on concomitants of gos in Morgenstern type bivariate Rayleigh distribution (MTBRD). Recurrence relations between moments of concomitants are also obtained. Some properties of joint distributions for concomitants of gos are presented. Finally, we have derived the best linear unbiased estimator based on concomitants of record values for a parameter involved in MTBRD.

The 1BL/1RS wheat-rye translocations had been used in wheat breeding programs worldwide. The objective of this study was to determine the effect of the 1BL/1RS translocation in SeriM82 /Babax recombinant population. 167 lines of this population were assayed under well-irrigated, terminal drought, heat and a combination of heat and drought stress conditions in two years. 5S rDNA and Iag95 markers were used to differentiate genotypes with or without the1BL/1RS translocation. Presence of 1BL/1RS translocation reduced grain yield (YLD), grain per spike (GSP) and grain per m2(GM2). QTLs in 1 BL/1RS segments indicated increased thousand-grain weight (TGW), chlorophyll content, spikelet per spike (SPLS), spike compactness (SCOM) and awn length (AWL) but reduced YLD, GSP and GM2. The 1BL/1RS carrying lines’ response varied between assayed environments. Plants of drought trials were more affected by 1BL/1RS compared to others. Differences in the effects of 1BL/1RS and QTLs suggest that gene expression at translocation loci is restricted to specific environmental conditions. In general, the 1BL/1RS translocation could not be a suitable source of genetic diversity for enhancing grain yield under heat and drought stresses.

AbstractAbbasi, H.R., Tahmasebi, S., Hosseini, S.V., Tanideh, N., Monabati, A. and Mehrabani, D. 2005. Repair of esophageal full-thickness defects with expanded polytetraflouroethylene (PTFE) patch: An experimental study on dogs. J. Appl. Anim. Res., 28: 89–92.To test the suitability of polytetraflouroethylene (PTFE) for repair of full-thickness defects in esophageal wall, eight mixed breed male dogs were utilized in this study. Anesthesia was induced by diazepam and sodium thiopental and maintained by halothane and oxygen. Ringers lactate was administered throughout the surgery. After exposing of cervical esophagus, a full-thickness defect (3x2 cm) was made and it was closed by PTFE patch placed in luminal side and fixed by prolene sutures. No dysphagia or aphagia was shown after the surgery and PTFE was absent at the luminal side of 5 dogs suggesting the passage of the prosthesis to the stomach. In 3 dogs, PTFE was adherent to its surrounding tissues by sutures. Luminal wall consistency was normal, no stricture was noticed and microscopically, a good regeneration and a complete epithelialization were observed. It is concluded that PTFE can be considered as a suitable prosthesis for reconstruction of full thickness esophageal wall defects.

Recently, an alternative measure of uncertainty called cumulative residual extropy (CREX) was proposed by Jahanshahi et al. (2019). In this paper, we consider uncertainty measures of minimum ranked set sampling procedure with unequal samples (MinRSSU) in terms of CREX and its dynamic version and we compare the uncertainty and information content of CREX based on MinRSSU and simple random sampling (SRS) designs. Also, using simulation, we study new estimators of CREX for MinRSSU and SRS designs in terms of bias and mean square error. Finally, we provide a new discrimination measure of disparity between the distribution of MinRSSU and parental data SRS.