Crop Science Journal of Natural Resources and Life Sciences Education
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Published in Crop Sci 7:220-222 (1967)
© 1967 Crop Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Nuclear Magnetic Resonance Analysis for Oil in Soybeans, Glycine max ( L.) Merrill, with Implications in Selection.1

C. A. Brim, W. M. Schutz and F. I. Collins2

Nuclear magnetic resonance spectrometry was used to characterize intragenotypic between- and within-plant variability for percent oil in soybeans. Differences among pods and among plants were the largest source of withinline variability in field and greenhouse tests, respectively. Oil content was found to be inconsistent for different positions on the plant. For the environmental conditions of this study, the error variance of a line mean was minimized by sampling at the intermediate flowering node in the field and either the intermediate or basal node in the greenhouse. Two pods (two seeds/pod) these positions were sufficient to classify high and low oil plants with 94 and 86% accuracy in the field and greenhouse, respectively. Sampling additional plants or pods per plant should increase the accuracy of classification for selection purposes.


1 Joint contribution from the Crops Research Division, ARS, USDA, the North Carolina Agricultural Experiment Station, and the U. S. Regional Soybean Laboratory, Urbana, III. Published with the approval of the Director of Research as Paper No. 2254 of the Journal Series. Publication No. 456 of the U. S. Regional Soybean Laboratory.

2 Research Agronomist and Geneticist, Raleigh, N. C., and Chemist, U. S. Regional Soybean Laboratory, Urbana, III., Crops Research Division, ARS, USDA. The authors wish to express their appreciation to D. E. Alexander, Department of Agronomy, University of Illinois, for making the NMR analyzer available for this study.

Received for publication August 20, 1966.


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L. Feng, J. W. Burton, T. E. Carter Jr., and V. R. Pantalone
Recurrent Half-Sib Selection with Testcross Evaluation for Increased Oil Content in Soybean
Crop Sci., January 1, 2004; 44(1): 63 - 69.
[Abstract] [Full Text] [PDF]




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