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Department of Agronomy

Kansas State University

1712 Claflin Rd.

2004 Throckmorton PSC

Manhatan, KS 66506

785-532-6101

agronomy@ksu.edu

Extension Agronomy

Ongoing research conducted on seeding rates for dryland wheat in western Kansas


Since 2014, a study has been conducted at Garden City, Tribune, and Colby to evaluate wheat yield response to different varieties and seeding rates.

The objective of this study was to address the following questions:

  1. Are K-State seeding recommendations appropriate for current varieties?
  2. Is there a need for variety specific seeding rates (other than adjusting for seeds per lb)?
  3. How region-specific do seeding rate recommendations need to be?

Popular varieties representing a range of tillering potential were selected and seeding rates were selected to represent the range of rates known to be in use by producers.  Four wheat varieties (TAM111 in 2016 and 2017, TAM114 in 2017 and 2018, Byrd, T158, and Winterhawk) were seeded at five seeding rates (30, 45, 60, 75, and 90 lbs/ac) at Garden City, Tribune, and Colby into no-till or reduced-till fallow in a wheat-sorghum-fallow rotation. Data were collected from 960 individual plots across 14 site-years throughout the course of the study. The 2014 study was preliminary, subsequently we chose to evaluate a wider range of seeding rates. For the purposes of evaluating seeding rate response curves, only data from 2015-2018 is reported in this article.

The effect of variety and seeding rate on grain yield is shown in Table 1 for each site-year, along with the interaction of both variables. A value less than 0.05 (shown in bold) represents a significant effect on yield.  A significant variety x seeding rate interaction means that the optimal seeding rate depended on the variety.  As expected, variety selection is important as it significantly affected grain yield in all 14 site-years.  Similarly, yields responded to changes in seeding rate in 13 of 14 site-years (over a wide range of seeding rates we would typically expect a yield response).  However, optimal seeding rate depended on the variety used in just two site-years.  These two site-years (Tribune 2015 and Garden City 2015) were during stripe-rust outbreaks and the plots were unable to be sprayed with fungicide.  At these two site-years, higher seeding rates of the stripe rust-susceptible varieties were able to partially compensate for the effects of the rust, resulting in different yield responses to seeding rate. In summary, varieties responded similarly to seeding rate in 12 of the 14 site-years.

 

Table 1. Effect of wheat variety, seeding rate, and their interaction on grain yield at three locations in western Kansas. Data is presented for 14 site-years.

 

 

P > F

Location

Year

Variety

Seeding Rate

Variety x Seeding Rate

Tribune

2014

<0.0001

0.0020

0.1761

Tribune

2015

<0.0001

<0.0001

0.0458

Tribune

2016

<0.0001

<0.0001

0.3607

Tribune

2017

0.0135

<0.0001

0.9101

Tribune

2018

<0.0001

0.0048

0.9073

Garden City

2014

0.0084

0.0095

0.2444

Garden City

2015

<0.0001

<0.0001

0.0006

Garden City

2016

<0.0001

0.2051

0.9986

Garden City

2017

<0.0001

<0.0001

0.3760

Garden City

2018

<0.0001

<0.0001

0.1187

Colby

2015

<0.0001

<0.0001

0.7308

Colby

2016

0.0286

<0.0001

0.1901

Colby

2017

<0.0001

<0.0001

0.2852

Colby

2018

<0.0001

<0.0001

0.0754

         

No. of Significant Site-Years

14/14

13/14

2/14

 

Effect of Location

While location affected the overall yield level, with yields increasing in the order of Garden City < Tribune < Colby, location did not affect the overall yield response to seeding rate. As shown in Figure 1, the seeding rate response curve is similarly shaped for all locations when averaged across years and varieties.

 

Figure 1. Seeding rate response by location.


In Figure 1, data points within a location that have the same letter are not statistically different.  For example, at Garden City there was no difference between the 60, 75, or 90 lb/ac rates, while all three of those rates were higher yielding than the 45 lb/ac rate, which was higher yielding than the 30 lb/ac rate.  At Tribune and Colby, there was no significant difference in grain yield between the 60 and 75 lb/ac rates, however the 90 lb/ac rate was significantly higher than the 60 lb/ac rate. With location and variety selection not playing a significant role in optimal seeding rate, all data were then combined to look at the overall response to seeding rate (Figure 2.)


Figure 2 - Effect of seeding rate on grain yield, averaged across varieties and site-years.

 

When the response to seeding rate was evaluated (Figure 2), grain yield significantly increased with increasing seeding rate up through the 75 lb/ac seeding rate.  Yield between the 90 and 75 lb/ac rate were not significantly different. When translated into a seeds/ac basis, these seeding rates would have been 452,000, 678,000, 903,000, 1.13 million, and 1.36 million on average.

Important points to keep in mind

  1. This study was conducted on a lb/acre basis. However, the range in seed size was modest (an average seed size of 15,056 +/- 19%) when compared to the differences between seeding rates. Conducting the study on a seeds/ac basis would not have significantly changed the shape of the overall seeding rate response curve.
  2. The fields used in this study are managed to be non-fertility limiting, however they are not excessive in their fertility and have no history of manure or compost application.  Fields with excessive soil test phosphorus levels will likely result in additional fall tillering and thus satisfactory performance might be obtained from seeding rates lower than what these results suggest are optimal.  Differences in soil fertility levels, the use of replicated trials, and perhaps planting date are likely factors in lower optimal seeding rates reported by others.
  3. Due to the dry seeding conditions experienced during the course of this study, seed was often dusted in, or planting was delayed until a rain.  Therefore, emergence was often later than what would be obtained from planting on the optimal planting date into good moisture.  Previous work by K-State in Colby has shown the importance of increasing seeding rates as planting is delayed due to reduced opportunity for tillering. This may be why the distinction between the 60 and 75 lb/ac or the 90 lb/ac rate is not clear cut.

Key Results

  1. The data collected is not supportive of variety-specific seeding rates (other than adjusting for seeds/lb which remains a K-State recommendation).
  2. The seeding rate response curve was similar across varieties and locations for three sites in western Kansas.
  3. Across all site-years, 75 lb/ac (an average of 1.13 million seeds/ac) was sufficient to maximize grain yields.  When broken down by location, 60 lb/ac (an average of 903,000 seeds/acre) was sufficient to maximize grain yields at Garden City, while at Tribune and Colby the optimal rate appears to lie near 75 lb/ac.

 

Producers are often worried about having stands that are too thick, thus an excessive use of soil water in the fall. This is a very valid concern. However, one must also be aware of the two-edged sword.  If good growing conditions occur in the spring, there are physical limits to how many kernels per head can be set and maximum kernel weight.  If there is a shortage of heads/acre due to an insufficient stand and/or lack of fall tillering, yield will be left on the table in a good year.

Note:  Expenses for this study at Colby were funded by the Cover Your Acres Winter Conference.

 

Lucas Haag, Northwest Area Agronomist, Colby
lhaag@ksu.edu

Alan Schlegel, Agronomist-in-Charge, Southwest Research-Extension Center – Tribune
schlegel@ksu.edu

John Holman, Cropping Systems Agronomist, Southwest Research-Extension Center – Garden City
jholman@ksu.edu