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An Energy-Crop Growth Variable and Temperature Function for Predicting Corn Growth and Development: Planting to Silking¹

Weather effects on crop growth, development and yield have to be quantified to interpret agronomic experiments properly and to encourage use of weather and climate information in agricultural planning and the assessment of crop yield potentials. The main objective of this research was to develop a single environmental index for use in identifying the effects of the three most important weather variables on crop production: light, temperature, and moisture. An Energy-Crop Growth (ECG) variable was generated and tested to predict the increase in dry matter of total above-ground corn (Zeu mays L.) plants from the time the growing point rose above the soil surface to silking. The Crop Growth Rate (CGR) was measured by destructively sampling corn plants in the field every few days in a randomized, complete-block design, where treatments represent successive harvests in time (weather). Early and late plantings of a full-season corn hybrid at 62,000 plants/ha on a Typic Argiaquoll at West Lafayette, Ind. from 1972 to 1974 were used to develop the relations. The ECG variable is defined as the daily product of the solar radiation intercepted by the crop canopy, a moisture stress factor and a temperature function (FT). For each unit of ECG, CGR increased about 547 kg/ha from the time the growing point rose above the soil surface to about 10 days before silking, after which it decreased to about 355 kg/ha per ECG until silking. These CGR on ECG relations were tested with independent experimental data for 1970 and 1971 to find a 1:1 relation between the predicted and measured plant dry weights. The accumulation of the temperature function alone (FT) was used to define the corn phenology periods examined in the development of the CGR-ECG relations. Maximum and minimum temperatures at the 10-cm depth in bare soil were used to calculate FT from planting to FT = 12, and then air temperatures to silking. The FT from planting to silking for full-season corn hybrids averaged 37.4 ± 1.2 for 12 plantingyears, 1969 to 1974. The FT method was tested for its precision and accuracy, relative to that of the modified growing degree day method (MGDD), by predicting dates that 50% of the corn acreage had silked in the West Central Crop Reporting District in Indiana, 1962 to 1978. The absolute error between actual and predicted silk dates averaged 3.1 ± 2.2 days using FT, slightly better than the 4.1 ± 2.4 days predicted with MGDD. The ECG, timed with FT offers definite Potential for defining weather effects on corn growth with a single variable.

Key Words: Crop growth rate • Energy-crop growth variable • Growing degree day • Weather • Moisture-stres • Soil temperature • Crop modeling

² Professor, Dep. of Agricultural Engineering, Univ. Federal de Viçosa, Minas Gerais, Brazil, and associate professor, Agronomy Dep. Purdue Univ., West Lafayette, IN 47907.

Received for publication October 24, 1979.

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