Predicting Winter Wheat Grain Yield Using Fractional Green Canopy Cover (FGCC)

Optical sensors have grown in popularity for estimating plant health, and they form the basis of midseason yield estimations and nitrogen (N) fertilizer recommendations, such as the Oklahoma State University (OSU) nitrogen fertilization optimization algorithm (NFOA). That algorithm uses measurements of normalized difference vegetative index (NDVI), yet not all producers have access to the sensors required to make these measurements. In contrast, most producers have access to smartphones, which can measure fractional green canopy cover (FGCC) using the Canopeo app, but the usefulness of these measurements for midseason yield estimations remains untested. Our objectives were to (1) quantify the relationship between NDVI and FGCC, (2) assess the potential for using FGCC values in place of NDVI values in the current OSU Yield Prediction Model, and (3) compare the performance of NDVI and FGCC-based yield prediction models from the collected dataset. This project, implemented on 13 winter wheat sites over the 2019-2020 growing season, used a range of nitrogen (N) rates (0, 34, 67, 101, and 134 kg N ha−1) to provide different levels of yield. Our results indicated that while NDVI and FGCC are highly correlated (r2 = 0.76), FGCC is not suitable for direct insertion into the current yield prediction model. However, a yield prediction model derived from FGCC provided similar estimates of yield compared to NDVI (Nash Sutcliffe Efficiency = −3.3). This new FGCC-based model will give more producers access to sensor-based yield prediction and N rate recommendations

Yield response of corn and grain sorghum to row offsets on subsurface drip laterals

Subsurface drip irrigation (SDI) is a micro-irrigation system that could be adopted by producers in the semi-arid regions around the world for efficient use of water. Yet, several crop management issues related to SDI system need to be addressed to assess the feasibility of SDI. One such issue is the impact of crop row placement on crop performance, irrigation water use efficiency and yield under SDI. A study was conducted in the Southern U.S. Great Plains, in which drip tape laterals were buried 30 cm deep at 153 cm spacing, with two crop rows planted at 76 cm spacing, and irrigated with one tape. Corn (Zea mays L.) and grain sorghum (Sorghum bicolor L.) rows were offset from equidistance from the drip tape by 0, 8, 15, 23, and 38 cm using high precision guidance system (real time kinematics). This resulted in 5 treatments and 4 replications. This treatment structure was imposed on three irrigation (high, medium and low) regimes. Analysis of Variance showed no interaction between offset treatments and irrigation or year in corn and grain sorghum yields. The row offset did not impact the overall yield as the yield loss in row farther from the tape was compensated by the increased yield in row moved closer to the tape. The yield distribution ranged from 50% in both rows for 0 cm offset to 59% in row closer to the tape for 38 cm offset. The findings of this study suggests that while driver accuracy is important to maintain equal yields in neighboring crop rows, the overall yields are affected more by irrigation and climatic conditions and not by the row offsets with respect to SDI tape. This data suggests that SDI can be successful regardless of access to high precision guidance systems.Peer reviewedPlant and Soil Science

Determining Critical Soil pH for Grain Sorghum Production

Grain sorghum (Sorghum bicolor L.) has become a popular rotation crop in the Great Plains. The transition from conventional tillage to no-tillage production systems has led to an increase in the need for crop rotations. Some of the soils of the Great Plains are acidic, and there is concern that grain sorghum production may be limited when grown on acidic soils. The objective of this study was to evaluate the effect of soil pH for grain sorghum production. Potassium chloride-exchangeable aluminum was also analyzed to determine grain sorghum’s sensitivity to soil aluminum (Al) concentration. The relationship between relative yield and soil pH was investigated at Lahoma, Perkins, and Haskell, Oklahoma, USA with soil pH treatments ranging from 4.0–7.0. Soil pH was altered using aluminum sulfate or hydrated lime. Soil acidity reduced grain sorghum yield, resulting in a 10% reduction in yield at soil pH 5.42. Potassium chloride-exchangeable aluminum levels above 18 mg kg−1 resulted in yield reductions of 10% or greater. Liming should be considered to increase soil pH if it is below these critical levels where grain sorghum will be produced

Determining Critical Soil pH for Sunflower Production

Soil acidity has become a major yield-limiting factor in cropping systems of the Southern Great Plains, in which winter wheat (Triticum aestivum L.) is the predominant crop. Sunflower (Helianthus annuus L.) is a strong rotational crop with winter wheat due to its draught and heat tolerance. However, the effects of low soil pH on sunflower productivity have not been explored. The objective of this study was to determine the critical soil pH and aluminum concentration (AlKCl) for sunflower. Sunflower was grown in a randomized complete block design with three replications of a pH gradient ranging from 4.0 to 7.0 at three locations with varying soil types. Soil pH was altered using aluminum sulfate (Al2(SO4)3) and hydrated lime (Ca(OH)2). Plant height, vigor, and survivability were all negatively affected by soil acidity. Sunflower yield was reduced by 10% at or below soil pH 4.7 to 5.3 dependent upon location and soil type. Levels of AlKCl above 6.35 mg kg−1 reduced seed yield by 10% or greater. We concluded that sunflower may serve as a better rotational crop with winter wheat under acidic conditions when compared to other adaptable crops