To identifying of the high yielding wheat lines with optimal characteristics and to determine the traits which could be used as the selection index for increasing of grain yield, 40 recombinant inbred lines derived from a cross between Norstar and Zagros cultivars were evaluated in a randomized complete block design with three replications. The measured characters consisted of peduncle weight, ...

individual grain weight of wheat kernels differs with their positions on a spike. cultivation practices (such as fertilizer nitrogen and plant growth regulators application) can be used to improve weight of basal and distal kernels. for this purpose, two experiments based on randomized complete block design were carried out with three replications. the aim of this research was to study the mech...

to identifying of the high yielding wheat lines with optimal characteristics and to determine the traits which could be used as the selection index for increasing of grain yield, 40 recombinant inbred lines derived from a cross between norstar and zagros cultivars were evaluated in a randomized complete block design with three replications. the measured characters consisted of peduncle weight, ...

gladiolus (gladiolus grandiflorus l.) is one of the most widely cultivated, economically important and common flowering plants worldwide including pakistan. however, its yield of flower is quite low when grown under agro-climatic conditions of multan. a field experiment was conducted at the experimental area, department of horticulture, bahauddin zakariya university, multan (pakistan), during 2...

Inner-product operators, often referred to as kernels in statistical learning, define a mapping from some input space into a feature space. The focus of this paper is the construction of biologically-motivated kernels for cortical activities. The kernels we derive, termed Spikernels, map spike count sequences into an abstract vector space in which we can perform various prediction tasks. We dis...

Inner-product operators, often referred to as kernels in statistical learning, define a mapping from some input space into a feature space. The focus of this letter is the construction of biologically motivated kernels for cortical activities. The kernels we derive, termed Spikernels, map spike count sequences into an abstract vector space in which we can perform various prediction tasks. We di...