Maize (Zea mays L.) is one of the most important crops in the world. In this study, 13 agronomic traits of a recombinant inbred line population that was derived from the cross between Mo17 and Huangzao4 were investigated in maize: ear diameter, ear length, ear axis diameter, ear weight, plant height, ear height, days to pollen shed (DPS), days to silking (DS), the interval between DPS and DS, 1...

The term kernel is derived from a word that can be traced back to c. 1000 and originally meant a seed (contained within a fruit) or the softer (usually edible) part contained within the hard shell of a nut or stone-fruit. The former meaning is now obsolete. It was first used in mathematics when it was defined for integral equations in which the kernel is known and the other function(s) unknown,...

Four sorghum hybrids (Fontanelle-625 [F-625]), Fontanelle-1000 [F-1,000], ATx631xRTx2907 [NE#20] and 5,040C) were characterized and evaluated for kernel characteristics, proximate analysis, flour characterization (particle size distributions, starch damage, amylose content and starch pasting properties) and end product in gluten-free tortilla. A commercial sorghum flour (TVM) was used as a cont...

in order to study effect of seed weight on germination and growth of wheat seedling, an experiment in seed technology laboratory of aboureihan paradise university of tehran in 2005 has been done. in this experiment, at first stage, the seeds separated by longitude step, latitude step and set frequency parameters of gravity separator set. in second stage, 10 treatments of 1000 seed weight entere...

Multiple kernel learning (Mkl) uses a convex combination of kernels where the weight of each kernel is optimized during training. However, Mkl assigns the same weight to a kernel over the whole input space. Localized multiple kernel learning (Lmkl) framework extends the Mkl framework to allow combining kernels with different weights in different regions of the input space by using a gating mode...

In this paper we consider (1) the weights of integration for which the reproducing kernel of the Bergman type can be defined, i.e., the admissible weights, and (2) the kernels defined by such weights. It is verified that the weighted Bergman kernel has the analogous properties as the classical one. We prove several sufficient conditions and necessary and sufficient conditions for a weight to be...

Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being used, identifying good kernels among a set of given kernels is important to the success of kernel methods. A straightforward approach to address this problem is cross-validation by training a separate classifier for e...

Combined with weight of samples and kernel function, fuzzy clustering method with generalized entropy is studied. Objective function for fuzzy clustering with generalized entropy based on sample weighting is obtained. Following that, fuzzy clustering algorithm with generalized entropy based on sample weighting is presented. In addition, by introducing kernel into the presented objective functio...

Combining ability effects were estimated for different agronomic characters in line × tester crossing program comprising 21 hybrids produced by crossing 7 lines and 3 testers. Parents and hybrids differed significantly for general combining ability (GCA) and specific combining ability (SCA) effects, respectively. The variance due to GCA and SCA showed that gene action was predominantly additive...

in order to evaluate the application of methanol on yield and yield components of soybean (glycine max l., var. l 17) in field conditions, experiments were conducted based on a randomized complete block design with three replications at the field research from faculty of agricultural of islamic azad university karaj, iran, during 2008. sprayed aqueous solutions were zero (control), 7, 14, 21, 2...