Objective:                   

To determine the optimal planting population and the agronomic impacts of plant population in wheat

Summary:

Six spring wheat varieties with four planting density combinations were planted in a complete randomized block design with 3 replications. The six varieties were Egan, Expresso, Solano, Soren, Tyra, and Vida. The four target planting population were: 16, 24, 32, and 40 plants/ft2.  Each plot was sampled for tiller and plant count. Management information is available in Table 1 and agronomic performance data is shown by population density in Table 2.

Table 1. Management information.   

Seeding date: 5/2/2018 Harvest date: 8/30/2018
Julian date: 122 Julian date: 242
Seeding rates: 16, 24, 32, and 40 plants/ft2 Soil type: Creston silt loam
Previous crop: pea Soil Nutrient Residual (lb/A): 123-6-82 (Fall, 2017)
Tillage: conventional Nutrient fertilizer applied (lb/A): 40-40-100
Insecticide: Warrior2 Fungicide: Headline

 

All graphed results are shown using actual populations. All traits were significant for varieties, but protein, thousand kernel weight, plant height, biomass at heading, and falling number were not significant between planting densities. Variety and density interaction was insignificant indicating that varieties behaved similarly under various densities.                                                                                      

Yields for planting densities of 24, 32, and 40 were the same as shown in Figure 1A. These three densities achieved the same number of kernels per ft2 (Fig. 1B). Increasing planting density had more number of plants as expected, but the number of productive tillers per plant was also reduced (Fig. 1C). Thus, yields (Fig. 1A) and the resulting income did not improve (Fig. 1D).

Optimum planting density for spring wheat, based on this study with diverse varieties and tillering capacities, is 24 plants/ft2 under well-watered condition. The soil this experiment was planted was with subsurface recharge (abundant soil moisture). Previous year’s (2017) result under rainfed and drought conditions, yields recorded were the same for 16, 24, 32, and 40 plants/ft2 seeding  -- in which actual live plants were on par with the target population.

 

Four Graphs. Graph A showing the relationship between yield and actual live plants per square foot. Graph B showing the relationship between the number of kernels per square foot and actual live plants per square foot. Graph C showing the relationship between productive tiller per plant and actual live plants per square foot. And graph D showing the relationship between the adjusted gross income and actual live plants per square foot.

Figure 1

A) Yield, B) number of kernels per ft2, C) productive tiller per plant, and D) adjusted gross income of actual live plants per ft2.

 

A graph showing the relationship between yield and number of kernels per feet squared. The relationship is linear in nature.

Figure 2

Relationship between yield and number of kernels per ft2. The relationship is linear in nature.

As shown in Figure 2, the tillering capacity of wheat is not a straightforward determinant of yield. The example is Expresso showing low productive tiller number (PTN; Table 2), but produced high yield. Vida on the other hand had high yield even with low number of kernels per head (smaller heads) but it produced high PTN. 

Our results indicate that planting more seeds/ft2 because a variety has low tillering capacity, does not guarantee increases in yield and income. The data suggest that under optimal growing condition, 24 plants/ft2 is sufficient (Fig 1A; Table 2).

Table 1: Agronomic performance

Variety PLNT HD HT No. Kernels PTN Biomass YLD1 PRO2 TWT1 TKW FN
line sqft Julian in no./ft2 no./plant lb/ft2 bu/A % lb/bu g Seconds
16 plants/ft2            
Expresso 19.3 181 34.6 2318.6 2.5 0.35 141.9 14.8 57.4 40.9 293.2
Vida 23.1 180 40.5 2049 4 0.35 134.8 14 61.8 41.2 358.1
Tyra 15.3 180 33.6 1917.3 4.8 0.28 122.9 13.3 62.5 40.3 318.2
Egan 20.4 181 39 1923.2 3.5 0.38 120.7 16.3 61.3 38.9 414.8
Solano 17.6 180 30.4 1791.3 2.6 0.28 114.9 14 61.9 40 339.9
Soren 13.3 179 35.2 1933.1 3.9 0.29 109.3 15.1 62.8 35.2 375.8
Mean 18.2 180 35.5 1988.8 3.6 0.3 124.1 14.6 61.3 39.4 350
 24 plants/ft2           
Expresso 24.8 181 36.1 2351.4 2.1 0.34 144.2 14.6 59 40.3 301.4
Vida 20.9 180 39.4 2371 3.4 0.35 136.5 13.9 62 36.3 345.7
Tyra 24.5 179 33.9 2059.9 3.5 0.31 131 13.2 62.3 39.9 296.6
Solano 19.7 180 31.5 1864.3 2.4 0.31 127.7 14.2 62.1 43 344
Egan 20.4 180 39.4 2048.5 2.7 0.33 127.3 16.3 61.6 38.5 446.9
Soren 20.6 179 33.5 2059.9 2.9 0.28 115.9 14.8 63 34.9 392.4
Mean 21.8 180 35.6 2129.7 2.8 0.3 130.4 14.5 61.7 38.8 354.5
 32 plants/ft2           
Expresso 32.8 180 35.9 2363.1 1.9 0.31 149 14.3 59.1 41.4 297.2
Vida 28.8 179 38.6 2180.6 2.7 0.35 141.3 14.1 61.8 40.7 363.2
Tyra 34 179 33.6 2141.2 2.8 0.31 131.8 13.2 62.6 38.7 305.9
Solano 30.9 179 32.5 1959.5 1.9 0.29 129.3 14 62.5 41.2 354.3
Egan 37.8 180 38.8 2029.7 2.3 0.4 128.9 16 61.8 39.4 439.6
Soren 27.6 178 34.5 2078.6 2.5 0.31 121.3 14.9 63.3 36.2 372.9
Mean 32 179 35.7 2125.4 2.4 0.3 133.6 14.4 61.9 39.6 355.5
40 plants/ft2           
Vida 35.3 179 40.1 2251.3 2.6 0.35 144.5 14 62.3 40.2 347.7
Expresso 34.9 180 35.3 2257.1 1.6 0.3 140.1 14.4 59.9 40.5 305.1
Tyra 32.2 179 35.2 2190.8 2.5 0.29 136.8 13.2 62.6 39.4 319.7
Solano 35 180 31.5 2025.2 1.5 0.28 134.3 14.3 62.3 41.4 341
Egan 38.8 180 41.2 2095.4 1.9 0.33 131.6 15.9 61.8 38.8 436.4
Soren 32.3 177 34.6 2102 2.1 0.3 119 15 63.3 35.2 397.3
Mean 34.7 179 36.3 2153.6 2 0.3 134.4 14.5 62 39.3 357.9
Pr>F Variety 0.2221 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001 <.0001
Pr>F Density <.0001 <.0001 0.2867 0.0001 <.0001 0.3515 <.0001 0.393 0.0101 0.4347 0.7271
Pr>F 0.828  0.4417  0.288  0.3269  0.7763  0.6098  0.2025  0.5841  0.489  0.0676  0.7649 
Var X Den
PLNT: stand count, HD: heading date, HT: plant height, No. kernels: number of seeds, PTN: productive tiller number, YLD: yield,           
PRO: protein, TWT: test weight, TKW: thousand kernel weight, FN: falling numbers           
1 Adjusted to 13% moisture           
2 Adjusted to 12% moisture