HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Figures Only Full Text Free Full Text (PDF) Free Alert me when this article is cited Alert me if a correction is posted Services Related articles in Crop Science Similar articles in this journal Similar articles in ISI Web of Science Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via ISI Web of Science (10) Citing Articles via Google Scholar Google Scholar Articles by Doehlert, D. C. Articles by Riveland, N. R. Search for Related Content PubMed Articles by Doehlert, D. C. Articles by Riveland, N. R. Agricola Articles by Doehlert, D. C. Articles by Riveland, N. R. Related Collections Oat Other Grain Crops

CROP BREEDING, GENETICS & CYTOLOGY

Evaluation of Oat Kernel Size Uniformity

^a Department of Plant Sciences, North Dakota State University, Fargo ND 58105
^b Department of Agricultural Engineering, North Dakota State University, Fargo ND 58105
^c Agronomy Department, Iowa State University, Ames IA 50011-1010
^d Williston Research Extension Center, 14120 Highway 2, Williston, ND 58801

^* Corresponding author (douglas.doehlert{at}ndsu.nodak.edu).

Oat (Avena sativa L.) kernel size uniformity is important to the oat milling industry because oat-processing mills separate oats according to size to optimize dehulling efficiency. In this study, we compared two different approaches for analyzing oat kernel size uniformity, namely the sequential sieving of oat samples with a gradient of slotted sieve sizes and digital image analysis. Image analysis of size fractions provided evidence that sieving separated oat kernels according to their depth, whereas, digital image analysis measured kernel length and width, and derived a measure of the area of the oat kernel image. Samples identified by sieving with superior uniformity were those with greater proportions of large kernels. Histograms of oat kernel sizes derived from digital image analysis suggested oat kernel sizes were (within a genotype and location) composed of bimodal populations. A new statistical analysis allowed for the derivation of means and variances of each of these subpopulations, the numerical balance between the two subpopulations, and the extent of bimodality. Oat samples with lower levels of bimodality tended to be of higher test weight and groat percentage and thus, of better milling quality. Both methods appear satisfactory for evaluating oat kernel size uniformity, although the sequential sieving method is likely to be more useful to breeding programs because of its relative technical ease and simplicity.

Related articles in Crop Science:

THIS ISSUE IN CROP SCIENCE

Crop Science 2004 44: 1109-1112. [Full Text]  

This article has been cited by other articles:

				D. C. Doehlert, J.-L. Jannink, and M. S. McMullen Size Distributions of Different Orders of Kernels within the Oat Spikelet Crop Sci., January 16, 2008; 48(1): 298 - 304. [Abstract] [Full Text] [PDF]

				M. Krifa Fiber Length Distribution in Cotton Processing: Dominant Features and Interaction Effects Textile Research Journal, May 1, 2006; 76(5): 426 - 435. [Abstract] [PDF]

				D. C. Doehlert, J.-L. Jannink, and M. S. McMullen Kernel Size Variation in Naked Oat Crop Sci., March 27, 2006; 46(3): 1117 - 1123. [Abstract] [Full Text] [PDF]

				C. J. Willenborg, J. C. Wildeman, A. K. Miller, B. G. Rossnagel, and S. J. Shirtliffe Oat Germination Characteristics Differ among Genotypes, Seed Sizes, and Osmotic Potentials Crop Sci., August 26, 2005; 45(5): 2023 - 2029. [Abstract] [Full Text] [PDF]

				C. J. Willenborg, B. G. Rossnagel, and S. J. Shirtliffe Oat Caryopsis Size and Genotype Effects on Wild Oat-Oat Competition Crop Sci., May 27, 2005; 45(4): 1410 - 1416. [Abstract] [Full Text] [PDF]