Method For Estimating Sorghum Yields And The New “Sorghum Yield Predictor” App

 

The estimation of crop yields before harvest can be erratic, but producers often like to know about the potential yield of their crops. In previous K-State Agronomy eUpdates we discussed the calculation of the potential yield for soybean and corn. These articles are:

 

- Estimating soybean yields. ksu.ag/1WJNWAf  (August 21, 2015 - eUpdate 525)

 

- Estimating corn yields. ksu.ag/1gux3t0 (July 31, 2015 - eUpdate 522)

 

This article will discuss how to get simple but fairly good estimates of sorghum yield potential. Similarly to soybean crop, sorghum can also compensate for abiotic or biotic stresses through changes in head sizes (grain number and weight) and number of tillers.

 

Before going into the procedure to estimate sorghum yields, we need to understand the main plant components of sorghum yield. The main yield-driving forces are:

 

 

The number of plants and the number of tillers per plant are two of the main components, which are determined well before the end of the crop growing season. Those two yield components are influenced by the initial plant density, planting date, and the environment, among other factors.

 

Those who want to get right to the formula can skip to the next paragraph, but it will help to know how sorghum yield components develop. Increasing the number of plants per acre potentially increases competition for resources, which can diminish the plant’s capacity to produce tillers. In addition, the interaction of planting date with plant density can have a similar effect. As planting date is delayed, the capacity of the plant to produce tillers will be reduced; thus, plant population needs to be increased to compensate for the reduction in the number of tillers. Previous research at K-State showed sorghum produces more tillers when planted early (mid-to-late May) at lower plant populations as compared with late planting dates (mid-to-late June). The environment also plays an important role in the final number of heads per unit area. Heat and drought stress will reduce the plant’s ability to produce more tillers, and also could severely reduce the tiller survival rate. The total number of seeds per head will be determined within the one- or two-week period before flowering until milk to soft dough stages (approximately two to three weeks after flowering). Kernel size will be determined close to the end of the season. In the 15 to 25 days after flowering, during the soft dough stage, sorghum grains have already accumulated about 50% of the final dry mass. Thus, the period around flowering is critical for defining not only the final number of grains per head but also the potential maximum kernel size. Final seed weight will be determined when the grains reach physiological maturity (visualized as a “black-layer” near the seed base). From this time until harvest the grains will dry down from approximately 35% to 20% moisture content.

 

The interaction among all four components will determine the actual yield, but a wide range of variation can be expected in all these main yield driving forces (Figure 1).

 

 

 

 

 

As the sorghum crop gets closer to full maturity, yield estimates will be more accurate because the kernel weight will be closer to being set. Nonetheless, we can start taking yield estimations three to four weeks after flowering (from soft to hard dough stages). At these stages, the final seed number can still change. In addition to the seed number, the seed weight will be only partially determined -- approximately 50 to 75% of dry mass accumulation as compared to the final weight.

 

 

Variability between plants needs to be properly accounted for when estimating sorghum yields using the on-farm approach (see next section). Another important factor is the variation between different areas in the field. In general, it is recommended to perform yield estimations in at least 5 to 10 sections of the field to account for field variability.

 

 

The estimation of sorghum yields should consider the main driving forces:

 

Total number of heads per unit area [number of plants per acre x heads per plant] (1)

 

Total number of seeds per head (2)

 

Number of seeds per pound (3)

 

Pounds per bushel, or test weight, which for sorghum is 56 lbs/bushel (4)

 

The final equation for estimating sorghum yields:

 

[(1) x (2) / (3)] / (4) = Sorghum yield in bushels/acre

 

The following steps should be taken for making sorghum yield estimates:

 

 

For this on-farm approach, start by counting the number of heads from a 17.4 foot length of row when the sorghum is in 30-inch rows. This sample area represents 1/1000th area of an acre. If the sorghum is in 15-inch rows, then the number of heads in 2 rows should be counted. For a 7.5-inch spacing, 4 rows will be measured. In each of these scenarios, the area counted will be equal to 1/1000th of an acre.

 

Head counts should be taken in several different areas of the field to properly account for the potential yield variability. If the proportion of smaller heads, less than 3 inches in height, is very low (less than 5%), these heads could be avoided due to the smaller proportion they will represent when determining the final yield.

 

 

The seed number is, by far, one of the most complicated yield components that need to be estimated. The total number of seeds per head can vary from 100 to 5,000 seeds per head (Figure 1), but almost ¾ of the seed number distribution is around 1,500 to 2,500 seeds per head. A previous report on sorghum yield estimation (Vogel, 1970), suggested as an alternative to estimate the number of nodes, and branches within nodes, for each sample of sorghum heads, and then to count the number of grains in a subsample of nodes and branches.

 

This approach is still very tedious. A simpler method of estimating the number grains per head would be very helpful.

 

 

 

 

 

 

 

We are currently processing information from previous and current year to develop a method for making a quick estimation of the grain number.

 

Another quick method uses an estimate of seed counts per head based on determinations of general yield environment conditions. From previously published information from K-State (provided by K-State professors Richard Vanderlip, emeritus, and Kraig Roozeboom), we can utilize a very simple association between the yield level, conditions around pollination/grain set time, and the number of grains per heads (Figure 4). In their work, Vanderlip and Roozeboom counted the average number of seeds per head and average seed weight for different yield environments, after harvest.

 

We can use this relationship to give us a general idea of the kind of seed count per head we can expect based on the general yield environment, using primarily the environmental conditions during the period of first week before flowering to two to three weeks after flowering, when pollination and grain set are being determined. We can then use that estimated seed count per head, and multiply it by the number of heads per acre. The number of seeds per pounds, or seed weight, is also a factor we need to estimate, but the work by Vanderlip and Roozeboom found that to be much less of a factor in yield than seed count per head.

 

If conditions were very poor during pollination and grain set, around the first week before and two to three weeks after flowering, and the general yield environment is low then the total number of seeds per head will average around 500-1,000 seeds per head (900; Table 1). On the opposite extreme, if the conditions around flowering were very favorable for good pollination and grain set development, and the general yield environment is very high, then the number of seeds per head could be around 1,500 to 3,500 (2,500; Table 1). Intermediate yield environment scenarios can occur if a portion of the three-to-four week period around flowering was favorable and part of it was unfavorable. In that case, the number of seeds per head could be between 1,000-3,500, with an overall average of around 1,745 seeds per head.

 

This information is provided only for general guidance on estimating sorghum yield potential using the on-farm approach. Different responses between yield and its components might be expected for the complexity of diverse genotypes, crop production practices, and environments.

 

 

 

 

 

 

 

 

 

A similar procedure can be followed to estimate the seed weight (Table 1). For the seed weight component, the variation documented in the dataset showed a very narrow seed weight variation as compared with the variability found in the seed number component. In general, it seems that lower seed weight is expected at low yield ranges, but the difference among yield levels is negligible. Table 2 shows the conversion from average seed weight to seeds per pound, and from seeds per pound to the seed size factor employed in the examples below for sorghum yield estimation.

 

 

 

 

 

[(Heads x Seeds per Head)*1,000 ÷ Seeds per Pound] ÷ Pounds per bushel

 

Examples:

 

 

Irrigated sorghum with adequate plant density (48,000 plants/acre), average number of tillers per plant of 1.3, and good yield environment with adequate flowering and grain filling periods:

 

(48 plants in 17.4 foot -1/1000th of an acre- x 1.3 fertile tillers per plant) = 62 heads

 

Yield Estimation = [(62 * 2,500)*1,000 ÷ 17,723] ÷ 56 = 156 bu/acre

 

 

Dryland sorghum with adequate plant density (40,000 plants/acre), average number of tillers per plant of 1.3, and poor flowering but fair grain filling period:

 

Yield Estimation = [(52 * 1,500)*1,000 ÷ 17,723] ÷ 56 = 79 bu/acre

 

 

Dryland sorghum with adequate plant density (40,000 plants/acre), average number of tillers per plant of 1.0, and poor yield environment and growing season (poor flowering and grain filling period):

 

Yield Estimation = [(40 * 900)*1,000 ÷ 18,520] ÷ 56 = 35 bu/acre

 

 

An app is currently under development with the final goal of estimating sorghum yields before harvest. Both Android and iOS (Apple) versions are under development and evaluation at the field-scale (on-farm calibration). More information about this project and the release of the app will be included in upcoming issues of the Agronomy e-Update. Stay tuned for more information about this exciting project!

 

 

 

 

 

 

 

 

 

 

Seed number is the main driving force of sorghum yield. On-farm estimations can be roughly based on environmental conditions during the week before and the two- to three-week period after flowering, which is the critical period of pollination and grain set. Actual seed counts per head would make the estimates much more accurate, but requires considerable time and effort. Future work will focus on getting more exact, rapid estimates of the number of seeds per head through the use of pragmatic and simple techniques, which will simplify the “on-farm approach” described in this article, and on the release of the new sorghum yield predictor app.