Seed traits have been targeted by human selection during the domestication of crop species as a way to increase the caloric and nutritional content of food during the transition from hunter-gather to early farming societies. The primary seed trait under selection was likely seed size/weight as it is most directly related to overall grain yield. Additional seed traits involved in seed shape may ...

salinity tolerance is a genetically and physiologically complex trait, controlled by quantitative trait loci (qtls). in order to map the qtls associated with agronomic and physiological traits, 149 doubled haploid lines derived from a cross between clipper (salt susceptible) and sahara 3771 (salt tolerant) barley genotypes were evaluated under natural saline-stress and non-stress conditions usi...

terminal heat and drought are the main constraints for wheat production in the vast and diverse semi-tropical rainfed regions of iran. high temperature stress during wheat’s reproductive stage is particularly detrimental, reducing both individual kernel weight and kernel number. identification of adapted genotypes can improve grain yield and its stability under heat stress conditions. selection...

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...

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...

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 order to evaluate of diversity among new maize hybrids for quantitative and morphological traits, 17 new single cross maize hybrids were studied in shahrood agriculture research station using randomized complete blocks design with four replications. results showed that five independent factors were responsible for significant correlation between 16 measured traits and explained 89.18% of tot...

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...