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Managing for high yield:

A review of intensive wheat production research in North Dakota in 2004

Compiled by Joel Ransom (joel.ransom@ndsu.nodak.edu)

Experiments were conducted by North Dakota State University during the 2004 growing season with the objective of identifying practices that could be used to improve the productivity of wheat in North Dakota. These experiments varied somewhat in the factors that were studied but included one or more of the following: seeding rate, N rate, N timing, variety, and fungicide.

The intent of this report is to summarize the effect of selected management practices in a range of experiments so that farmers may have a better understanding of how these practices may impact production on their own farms.

A similar report was prepared in 2003 and the results of that report should also be reviewed when considering the results and recommendations presented here (the 2003 report is available online at: http://www.ag.ndsu.nodak.edu/aginfo/smgrains/IntensW04.htm).

Table 1 lists the experiments that were included in this review and the contact details of the principal investigators from whom additional information about the research can be obtained.

Table 1. Wheat management experiments conducted in North Dakota in 2004.

Location

Management factors studied

Principal Investigators

Casselton & Carrington-1 Seeding rate, variety, N rate, N timing

Brian Otteson

Brian.otteson@ndsu.edu

Mohamed Mergoum

Mohamed.Mergoum@ndsu.edu

Carrington-2 Seeding rate, variety, fungicide

Greg Endres

Greg.endres@ndsu.edu

Blaine Schatz

Blaine.schatz@ndsu.edu

Langdon N rate and N timing

John Lukach

John.lukach@ndsu.edu

Minot Seeding rate, N timing, fungicide (durum and HRSW)

Kent McKay

Kent.mckay@ndsu.edu

The experiments were designed so that the effects of each factor could be evaluated as well as the interactions between the various factors. Positive interactions between management practices are considered desirable, as it means that the output of two or more inputs is greater than the output of each input alone. Just as in 2003, however, there were few significant and consistent interactions between the various main factors, so this report will focus primarily on main factor responses. The cool, wet spring in the areas where this research was conducted was favorable for small grain development, and yields were well above average. However, yields at Langdon were reduced by frost prior to physiological maturity.  

Seeding rate

Increasing the seed rate from the lowest rate used (1.0 to 1.2 million seeds per acre) to the highest rate (1.5 to 2.0 million seeds per acre) increased yields in three of the five experiments (Table 2). The increases were only in the range of 2 to 3 bu/acre, however. In two of the five experiments, increasing the seed rate reduced yield.

 

Table 2. Effect of seeding rate on wheat yield in ND, 2004

Location

Seeding Rates (seeds/acre)

Yield (bu/acre)+

Casselton 1.2 million 88.9**
  1.7 million 92.0
Carrington1 1.2 million 94.4N.S.
  1.7 million 94.0
Carrington2 1.0 million 71.9*
  1.75 million 69.8
Minot � HRS 1.2 million 49.6N.S.
  2.0 million 51.6
Minot � durum 1.0 million 44.7 N.S.
  1.5 million 46.8

+ N.S. means that there is no statistically significant difference between the values within an experiment,

*, ** means there are statistically significance differences at the 5% and 1% level, respectively.

Carrington1: evaluated seeding rate, variety, N rate, N timing

Carrington2: evaluated seeding rate, variety, fungicide

 

Nitrogen rate and timing

The effect of nitrogen rate and timing on grain yield and protein varied between experiments. Nevertheless, in general terms, the results indicate that when fertilizer rate was included as a variable in the experiment, applying all of the fertilizer pre-plant at the high rate was as effective as and often more effective than applying it in splits (Table 3).

At the lower fertilizer levels, or in experiments where just one level of N was used, grain yields were improved by splitting the fertilizer only in Carrington and Langdon. Grain protein tended to be higher when N was applied later but not consistently.

Table 3. Effect of N timing on wheat yield in various experiments in ND, 2004

Location

N timing

Yield (bu/acre)+

Protein

(%)

Casselton

125 lb PPI

92.9**

14.0*

 

63 lb PPI, 63 lb 5 lf

87.5

14.4

 

42 lb PPI, 42 lb 5 lf, 42 lb boot stage

83.9

14.8

 

200 lb PPI

96.5

14.8

 

100 lb PPI, 100 lb 5 lf

92.3

15.1

 

67 lb PPI, 67 lb 5 lf, 67 lb boot

89.7

15.2

 

LSD 0.05

2.8

0.2

Carrington1

150 lb PPI

94.8**

13.4*

(irrigated)

75 lb PPI, 75 lb 5 leaf stage

96.5

13.2

 

50 lb PPI, 50 lb 5 lf, 50 lb boot stage

83.7

15.3

 

250 lb PPI

99.2

15.0

 

125 lb PPI, 125 lb 5 leaf stage

99.6

14.6

 

83 lb PPI, 83 lb 5 lf, 83 lb boot stage

91.4

15.9

 

LSD 0.05

8.0

0.2

Langdon

170 lb PPI

60.4*

14.0*

 

80 lb PPI, 90 lb 3 lf

58.1

14.2

 

80 lb PPI, 90 lb 6 lf

66.0

13.6

 

80 lb PPI, 45 lb 3 lf, 45 6 lf

65.0

13.8

 

LSD 0.05

6.1

0.8

Minot (HRS)

85 lb PPI

50.0*

12.9*

 

40 lb PPI, 45 lb 5 lf

50.6

12.9

 

85 lb 3 lf

48.7

12.3

 

85 lb 5 lf

48.1

12.5

 

135 lb PPI

53.3

14.1

 

85 lb PPI, 50 lb 5 lf

51.9

13.6

 

85 lb, 50 lbs flag

50.5

13.5

 

LSD 0.05

2.8

0.5

Minot

85 lb PPI

47.5N.S.

14.3N.S.

(Durum)

40 lb PPI, 45 lb 2 lf

44.8

13.9

 

85 lb 2 lf

44.1

13.7

 

90 lb 5 lf

46.7

13.9

+ N.S. means that there is no statistically significant difference between the values within an experiment, *, ** means there are statistically significance differences at the 5% and 1% level, respectively.

 

Fungicide

Only a single fungicide experiment at Carrington was included in this review. In this experiment, the fungicide treatment consisted of a single Folicur application at the early bloom stage. There was significant fungicide interaction by variety at this site. Reeder was much more responsive to the Folicur application than Granger (18 bu/acre vs. 8 bu/acre), due to its greater susceptibility to foliar diseases and leaf rust. The DON levels were higher in Reeder than in Granger, and were reduced significantly in both varieties with the application of Folicur.

 

Table 3. Effect of applying Folicur at flowering on wheat yield at Carrington, ND, 2004.

Variety by Fungicide treatments

Yield

(bu/acre)

DON

(%)

Granger, Folicur

79.2**

1.2*

Granger, no Folicur

71.2

2.7

Reeder, Folicur

74.4

2.4

Reeder, no Folicur

55.8

4.4

LSD 0.05

4.6

0.9

+ N.S. means that there is no statistical significant difference between the values within an experiment,

 *, ** means there is statistical significance at the 5% and 1% level, respectively.

 

Conclusions and recommendations

Based on the results of these experiments and the data from 2003 (bear in mind that 2003 and 2004 were exceptional years for wheat yield) I would recommend the following:

  • There seems to be only marginal value in increasing seeding rates beyond 1.2 million seeds/acre (perhaps somewhat higher for durum). These data support the results of previous seeding rate studies that have shown that establishing about 1.15 million plants in most environments will support high yields without negative consequences.  Avoid over-seeding and use the money saved for other inputs that will likely produce greater returns (i.e. nitrogen or fungicide).

  • Based on a reasonable yield goal, apply all nitrogen before planting. If during the early development of the crop, however, it appears that the yield goal will be exceeded, apply extra nitrogen as needed. Applications on or before the 6 leaf stage are recommended in order to improve yield potential as well as protein.

  • Fungicide applied at heading has the potential of increasing yields by protecting the flag leaf from foliar disease even in years and regions of the state where FHB pressure is low. Consider applying fungicides in years that are conducive to the build up of diseases, especially if a variety that is known to be susceptible to foliar diseases is grown.