Impact of glyphosate applied preharvest on oat kernel quality

2021 ◽  
Author(s):  
Anuradha Vegi ◽  
Bethany R. Stebbins ◽  
Joel K. Ransom ◽  
Senay Simsek
Keyword(s):  
Kernel Quality

Genetic Loci Related to Kernel Quality Differences between a Soft and a Hard Wheat Cultivar

Crop Science ◽  
2005 ◽  
Vol 45 (5) ◽  
pp. 1685-1695 ◽  
Author(s):  
Flávio Breseghello ◽  
Patrick L. Finney ◽  
Charles Gaines ◽  
Lonnie Andrews ◽  
James Tanaka ◽  
...  
Keyword(s):  
Wheat Cultivar ◽  
Genetic Loci ◽  
Hard Wheat ◽  
Kernel Quality

scholarly journals Genetic Variability and Association Analysis of SomeQuantitative Characters in Sweet Corn

2013 ◽  
Vol 41 (2) ◽  
pp. 404
Author(s):  
Ozlem ALAN ◽  
Gulcan KINACI ◽  
Engin KINACI ◽  
Imren KUTLU ◽  
Zekiye BUDAK BASCİFTCİ ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Yield Components ◽  
Sweet Corn ◽  
Block Design ◽  
Sugar Content ◽  
Yield Potential ◽  
Genetic Advance ◽  
Solid Concentration ◽  
Kernel Quality ◽  
Soluble Solid

The objective of this study was to determine genetic variability, heritability, genetic advance, genotypic and phenotypic correlations of yield, yield components and kernel quality traits in seven sweet corn varieties. The present research was conducted during 2009 and 2010 growing season in Eskisehir, midwestern Turkey. The trials were set up in randomised complete block design with four replications. Analysis of variance observed highly significant differences for all the examined traits in both years. Sugar content, soluble solid concentration and number of leaves per plant revealed the highest genotypic and phenotypic coefficient of variation values. The high heritability estimates coupled with high genetic advance for sugar content, soluble solid concentration and starch content. Positive correlations were revealed between yield (husked, dehusked and fresh kernel) and yield components except plant height and 1000 seed weight. Negative correlations were found between kernel quality and yield and yield related traits. It can be concluded that, husked ear weight and dehusked ear weight could be used as the main criteria for yield improvement. It should be unfeasible to develop sweet corn varieties with satisfactory yield potential and improved kernel quality for the different sweet corn markets.

Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons

2010 ◽  
Vol 22 (5) ◽  
pp. 1272-1311 ◽  
Author(s):  
Lars Büsing ◽  
Benjamin Schrauwen ◽  
Robert Legenstein
Keyword(s):  
Analog Circuits ◽  
Memory Function ◽  
Mean Field ◽  
Network Connectivity ◽  
Network Models ◽  
Reservoir Computing ◽  
Computational Performance ◽  
Kernel Quality ◽  
The One ◽  
Long Timescales

Reservoir computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron that is trained on top of a randomly connected recurrent neural network. RC systems are commonly used in two flavors: with analog or binary (spiking) neurons in the recurrent circuits. Previous work indicated a fundamental difference in the behavior of these two implementations of the RC idea. The performance of an RC system built from binary neurons seems to depend strongly on the network connectivity structure. In networks of analog neurons, such clear dependency has not been observed. In this letter, we address this apparent dichotomy by investigating the influence of the network connectivity (parameterized by the neuron in-degree) on a family of network models that interpolates between analog and binary networks. Our analyses are based on a novel estimation of the Lyapunov exponent of the network dynamics with the help of branching process theory, rank measures that estimate the kernel quality and generalization capabilities of recurrent networks, and a novel mean field predictor for computational performance. These analyses reveal that the phase transition between ordered and chaotic network behavior of binary circuits qualitatively differs from the one in analog circuits, leading to differences in the integration of information over short and long timescales. This explains the decreased computational performance observed in binary circuits that are densely connected. The mean field predictor is also used to bound the memory function of recurrent circuits of binary neurons.

Grain Yield and Kernel Quality of Winter Barley (Hordeum vulgare L.) Harvested at Different Moisture Levels 1

1968 ◽  
Vol 60 (5) ◽  
pp. 472-474 ◽  
Author(s):  
Donald H. Brewer ◽  
J. M. Poehlman
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Winter Barley ◽  
Hordeum Vulgare L ◽  
Kernel Quality

Quantitative Trait Loci Associated with Deoxynivalenol Content and Kernel Quality in the Soft Red Winter Wheat ‘Ernie’

Crop Science ◽  
2008 ◽  
Vol 48 (4) ◽  
pp. 1408-1418 ◽  
Author(s):  
Z. A. Abate ◽  
S. Liu ◽  
A. L. McKendry
Keyword(s):  
Quantitative Trait Loci ◽  
Winter Wheat ◽  
Quantitative Trait ◽  
Soft Red Winter Wheat ◽  
Kernel Quality ◽  
Trait Loci ◽  
Red Winter Wheat

A Computer Vision System for Rice Kernel Quality Evaluation

2002 ◽  
Author(s):  
Hong-sun Yun ◽  
Won-ok Lee ◽  
Hoon Chung ◽  
Hyun-dong Lee ◽  
Jae-ryong Son ◽  
...  
Keyword(s):  
Computer Vision ◽  
Quality Evaluation ◽  
Vision System ◽  
Computer Vision System ◽  
Kernel Quality

Identification of late-blooming almond (Prunus dulcis L.) genotypes with high kernel quality

Euphytica ◽  
2019 ◽  
Vol 215 (10) ◽  
Author(s):  
Ali Khadivi ◽  
Somayeh Goodarzi ◽  
Ali Sarkhosh
Keyword(s):  
Prunus Dulcis ◽  
Kernel Quality

HAZELNUT KERNEL QUALITY AS AFFECTED BY ROASTING TEMPERATURES AND DURATION

1997 ◽  
pp. 301-304 ◽  
Author(s):  
D.G. Richardson ◽  
K. Ebrahem
Keyword(s):  
Kernel Quality

scholarly journals Stability Analysis of Kernel Quality Traits in Exotic‐Derived Doubled Haploid Maize Lines

2019 ◽  
Vol 12 (1) ◽  
pp. 170114 ◽  
Author(s):  
Adam Vanous ◽  
Candice Gardner ◽  
Michael Blanco ◽  
Adam Martin‐Schwarze ◽  
Jinyu Wang ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Doubled Haploid ◽  
Quality Traits ◽  
Kernel Quality
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