Wed, Feb 22, 2017
by Randall Nelson, USDA-ARS, University of Illinois
We crossed cultivated soybean (Glycine max
) with a distant perennial relative, Glycine tomentella
, and were the first to test derived lines. The best line yielded 7 bu/ac greater than the soybean parent, Dwight. We also crossed cultivated soybean with wild annual soybean (Glycine soja
) and identified lines that were equal in yield to the soybean parent, seven days earlier in maturity, yet had 50% of the wild parent DNA based on analysis with DNA markers. This work indicates that very useful yield genes exist in wild relatives of cultivated soybean which are not yet being used in commercial soybean breeding today.
Last season we tested 39 lines that had G. tomentella
as the female parent and thus G. tomentella
cytoplasm and 28 lines with soybean as the female parent with soybean cytoplasm. Averaged over 10 locations, the best line with G. tomentella
cytoplasm yielded 6.1 bu/a more than Dwight and the best line with soybean cytoplasm yielded 6.8 bu/a more than Dwight. To get such high yield increases from soybean × soybean crosses would be notable but to obtain that from backcrosses with the perennial species, G. tomentella
, is extraordinary.
Sat, Feb 4, 2017
by Aaron Lorenz, Soybean Breeder, University of Minnesota
The aim of plant breeding has always been to link phenotype with genotype. Our selections to date are based mainly on phenotype – the yield of a soybean line over many years and locations – so we can be confident that it will perform at that level in farmers’ fields.
Because it is both necessary and expensive to generate this field data, we are putting it to maximum use by also collecting genotypic data of the lines and using it in the selection process. A powerful approach to make use of genomic information for selective breeding is through a method called genomic prediction and selection
Fri, Jan 27, 2017
by Andy Michel, Field Crops Entomologist, Ohio State University
In the course of generating DNA sequences with projects funded by The Ohio Soybean Council and The North Central Soybean Research Program, we were able to sequence the entire soybean aphid genome
This genome represents the 4th aphid species with a completely described genome (in addition to the pea aphid, Russian wheat aphid, and green peach aphid). It will further advance our ability to identify soybean aphid genes responsible for overcoming resistant soybean, and hopefully lead to a wider use of aphid-resistant soybean.
Tue, Dec 20, 2016
by Kiersten Wise, Soybean Plant Pathologist, Purdue University
New seed and foliar fungicide programs and fungicide products have been marketed to protect soybeans against soil-borne diseases and plant stress. In a recently-completed project, funded by the North Central Soybean Research Program, soybean plant pathologists in six mid-western states conducted a regional evaluation of these products to determine their impact on charcoal rot development and yield.
Tue, Nov 15, 2016
by Damon Smith, Soybean Plant Pathologist, University of Wisconsin
In recent years stem canker and other diseases caused by the Diaporthe
group of fungi have become increasingly problematic in the North Central region, with 2014 being an especially prevalent year. Stem canker epidemics can occur in wet springs, and with climate experts predicting a trend of wetter springs, this disease is considered an re-emerging problem in the region.
Tue, Nov 1, 2016
by George Graef, Soybean Breeder, University of Nebraska
The USDA Soybean Germplasm Collection contains over 21,000 accessions (plant or seed samples) including wild relatives, landraces, and soybean cultivars from around the world. Domestication of soybean has resulted in a loss of genetic diversity, with landraces retaining only about 63% of the diversity found in the wild Glycine soja
Because the genetic diversity in current soybean cultivars is limited, we need to more effectively use the vast diversity that does exist. We employed statistical methods to sample the collection in three different ways, using the SoySNP50K genotype information to assess the genotypic diversity among accessions. We now have yield and agronomic data exceeding the quality of any yield plot data currently available on this number of accessions.