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We recently developed a database for hexaploid wheat QTL (WheatQTLdb; www.wheatqtldb.net) that included 11,552 QTL affecting various traits of economic importance. However, that database did not include valuable QTL from other wheat species and/or progenitors of bread wheat. Therefore, an updated and wider version of wheat QTL database (WheatQTLdb V2.0) was developed in this study which now includes information on hexaploid wheat (Triticum aestivum) as well as seven other related species: T. durum, T. turgidum, T. dicoccoides, T. dicoccum, T. monococcum, T. boeoticum, and Aegilops tauschii. WheatQTLdb V2.0 includes a much improved list of QTL, so that V2.0 now has 27,518 main-effect QTL, 202 epistatic QTL, and 1,321 metaQTL. This newly released WheatQTLdb V2.0 will provide plant breeders and geneticists much more valuable options to search and choose the category-wise and trait-wise data for their research or breeding programmes.

The objective of this study is to develop of an inventory policy for deteriorating items, in which demand for the products is stock dependent and the retailer invests in preservation technology to reduce the rate of product deterioration. In many real-life situations, for certain types of consumer goods, the consumption rate is sometimes influenced by the stock-level. It is usually observed that a large pile of goods on a shelf in a supermarket will lead the customer to buy more and then generate higher demand. The consumption rate may go up or down with the onhand stock level. This paper is developed with the realistic conditions of demand, allowable credit period, partial backlogging and variable ordering cost. A solution procedure is given to find the optimal preservation technology cost and total cost of the system. A numerical example and sensitivity analysis are presented to illustrate the model.

We recently developed a database for hexaploid wheat QTL (WheatQTLdb; www.wheatqtldb.net) that included 11,552 QTL affecting various traits of economic importance. However, that database did not include valuable QTL from other wheat species and/or progenitors of bread wheat. Therefore, an updated and wider version of wheat QTL database (WheatQTLdb V2.0) was developed in this study which now includes information on hexaploid wheat (Triticum aestivum) as well as seven other related species: T. durum, T. turgidum, T. dicoccoides, T. dicoccum, T. monococcum, T. boeoticum, and Aegilops tauschii. WheatQTLdb V2.0 includes a much improved list of QTL, so that V2.0 now has 27,518 main-effect QTL, 202 epistatic QTL, and 1,321 metaQTL. This newly released WheatQTLdb V2.0 will provide plant breeders and geneticists much more valuable options to search and choose the category-wise and trait-wise data for their research or breeding programmes.