Crop Yield Interpretation for North Dakota: I. Sequential Sampling

Ulmer, M. G.; Patterson, David T.

doi:10.2136/sh1988.4.0116

Cited by 6 publications

(4 citation statements)

References 10 publications

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“…A simplified Delphi survey involving experienced field soil scientists was used in North Dakota to obtain a group consensus of relative productivity of benchmark soils for (HRS) wheat and sunflower. The Delphi survey was part of a more extensive project to develop productivity indexes that included collection of onsite soil and yield data from sequential sampling (Ulmer and Patterson, 1988), fertility research plots (Ulmer, 1986), and crop variety trials. The survey was intended to supplement onsite sample data and provide information on soil and slope phases not available from other sources.…”

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confidence: 99%

Crop Yield Interpretation for North Dakota: II. Field Questionnaires—A Delphi Approach

Ulmer¹,

Patterson²

1988

Soil Horizons

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A two‐stage Delphi survey was used to evaluate soil productivity indexes currently used for Hard Red Spring (HRS) wheat (Triticum aestivum L.) in North Dakota. Experienced field soil scientists estimated the relative productivity of several soils having a wide range of properties. Mean productivity index for most soils changed little between the first and second questionnaires, but coefficient of variation (CV) decreased an average of 20 and 17% for wheat and sunflower, respectively. Soils with the highest yield variability for both wheat and sunflower were Entic Haploborolls and Typic Ustorthents on upper slopes, Natriborolls, and coarse‐textured or loamy soils with sand and gravel substrata. Results were compared to current productivity indexes and effects of slope, paralithic beds, and argillic horizons evaluated. The Delphi technique proved useful for accessing a source of information based on years of field observation. Relative yield estimates from field soil scientists were particularly useful in evaluating the yield potential of soils for which research data were not available. Delphi surveys should be viewed as a subjective method of investigating soil‐crop yield relationships and used only to supplement quantitative data.

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Crop Yield Interpretation for North Dakota: II. Field Questionnaires—A Delphi Approach

Ulmer¹,

Patterson²

1988

Soil Horizons

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“…Plant‐available water at seeding (PAW) and N have long been recognized as important production factors in North Dakota (Bauer, 1972; Ulmer et al, 1988a) and play a prominent role in production‐oriented management models (Vasey and Leholm, 1982). The PAW results (Table 3 and 4) agree with those obtained by other sunflower (Smith et al, 1978) and wheat researchers (Army and Hanson, 1960; Lehane and Staple, 1964).…”

Section: Resultsmentioning

confidence: 99%

“…Use of sequential sampling and field questionnaires to collect crop yield data for development of soil productivity indexes were previously discussed (Ulmer and Patterson, 1988a, 1988b). Experiment station research plots represent another source of data useful in yield interpretation.…”

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Crop Yield Interpretation for North Dakota: III. Long-Term Empirical Models

1988

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Empirical regression models were developed to predict long‐term yields of Hard Red Spring (HRS) wheat (Triticum aestivum L.) and sunflower (Helianthus annuusL.) for soil taxonomic units in North Dakota. Models were developed from onsite soil, climate, management and yield data collected from fertility research plots. In selecting model variables, emphasis was placed on readily available or easily measured agronomic data. Comprehensive models explained 62 and 60% of the variation in wheat and sunflower yield, respectively. Plant‐available water at seeding was the most important variable in wheat and sunflower production. Other variables useful in explaining crop yield variation were those related to soil water‐holding capacity, organic C content, moisture stress, and N availability. Predicted wheat yields compared favorably with current yield estimates for extensive agricultural soils in North Dakota, but predicted sunflower yields were higher than current estimates. The models illustrate a procedure for quantifying soil productivity indexes used for soil interpretation.

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“…To be reliable, yield data must be collected over many years to allow for climatic variation (Abe iter and Barnes, 1950). Ulmer et al (1988) developed models from onsite soil, climate, management, and yield data which were collected from research plots.…”

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Corn and Soybean Responses to Exchangeable Sodium in South-Central Illinois Soils

Olson

Endres

1996

Soil Horizons

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A 4‐yr study was conducted to determine corn (Zea mays L.) and soybean [Glycine max (L.) Merr.] yield and plant population differences between three south central Illinois soils with varying levels of exchangeable Na in subsoils. The 2‐yr corn yield average was highest (190 bu/acre) for Cisne soils, which had low exchangeable Na in the subsoil, and lowest (118 bu/acre) for the Huey soils, which had the highest level of Na in the subsoil. The 2‐yr corn plant populations at harvest were not significantly reduced by exchangeable Na in the subsoil. The 2‐yr average soybean yields were less affected by Na; however, the 1991 soybean yield was significantly reduced by 20 bu/acre. The Cisne soils averaged 43 bu/acre while the Huey soils, with higher exchangeable Na levels, had lower yields (35 bu/acre). The 2‐yr soybean plant populations at harvest were not significantly reduced by exchangeable Na in the subsoil. The corn yield (160 bu/acre) was reduced for Cisne tax‐adjunct soils, which had a medium level of exchangeable Na but there was no corresponding reduction in the soybean yield (44 bu/acre). Productivity index ratings for soils with varying levels of exchangeable Na should reflect this adverse crop yield response.

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Crop Yield Interpretation for North Dakota: I. Sequential Sampling

Cited by 6 publications

References 10 publications

Crop Yield Interpretation for North Dakota: II. Field Questionnaires—A Delphi Approach

Crop Yield Interpretation for North Dakota: II. Field Questionnaires—A Delphi Approach

Crop Yield Interpretation for North Dakota: III. Long-Term Empirical Models

Corn and Soybean Responses to Exchangeable Sodium in South-Central Illinois Soils

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