Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-03T05:15:24.440Z Has data issue: false hasContentIssue false

Prediction of leaf area indices and yields of wheat

Published online by Cambridge University Press:  27 March 2009

D. K. Benbi
Affiliation:
Department of Soils, Punjab Agricultural University, Ludhiana 141004, India

Summary

Changes in leaf area index (LAI) of wheat are predicted by using information on daily heat units, atmospheric evaporative demand, water supply and nitrogen. The results of experiments on two different soils at Punjab Agricultural University Farm, Ludhiana, India from 1987 to 1990 showed that the rate and extent of leaf area development and its decline were dependent on the amount and pattern of water supply. Maximum leaf area index (LAImax) during the three years was found to depend on a combined effect of NO3-N in the 180 cm soil profile at sowing plus fertilizer N added. A relative growth factor (RGF) to scale cumulative water supply commensurate with crop growth was computed, which takes into account the combined effect of crop demand and supply of water and nitrogen from the soil. For adequately irrigated wheat, leaf area senescence could be predicted from cumulative potential evapotranspiration (PET). However, under droughted conditions, water supply, along with PET, also affected leaf area senescence. The dependence of wheat grain yield on LAImax in conjunction with water supply subsequent to attainment of LAImax was almost linear. It is concluded that, for adequately irrigated wheat, N availability at sowing and cumulative PET determines LAImax and the pattern of leaf development. Wheat grain yield is determined by LAImax and cumulative water supply from LAImax to maturity.

Type
Crops and Soils
Copyright
Copyright © Cambridge University Press 1994

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Arkin, G. F., Vanderlip, R. L. & Ritchie, J. T. (1976). A dynamic grain sorghum growth model. Transactions of the American Society of Agricultural Engineering 19, 622626.CrossRefGoogle Scholar
Arora, V. K., Prihar, S. S. & Gajri, P. R. (1987). Synthesis of a simplified water use simulation model for predicting wheat yields. Water Resources Research 23, 903910.CrossRefGoogle Scholar
Bauer, A., Frank, A. B. & Black, A. L. (1984). Estimation of spring wheat leaf growth rates and anthesis from air temperature. Agronomy Journal 76, 829835.CrossRefGoogle Scholar
Benbi, D. K., Prihar, S. S. & Cheema, H. S. (1991). A model to predict changes in soil moisture, NO3-N content and N uptake by wheat. Fertilizer Research 28, 7384.CrossRefGoogle Scholar
Black, C. A. (Ed.) (1965). Methods of Soil Analysis. Part 2. Agronomy 9. Madison: American Society of Agronomy.CrossRefGoogle Scholar
Gajri, P. R., Prihar, S. S. & Arora, V. K. (1989). Effects of nitrogen and early irrigation on root development and water use by wheat on two soils. Field Crops Research 21, 103114.CrossRefGoogle Scholar
Hanks, R. J. (1974). Model for predicting plant yield as influenced by water use. Agronomy Journal 66, 660665.CrossRefGoogle Scholar
Hanks, R. J. & Hill, R. W. (1980). Modelling Crop Responses to Irrigation in Relation to Soils, Climate and Salinity. Elmsford, NY: Pergamon.Google Scholar
Hanks, R. J. & Rasmussen, V. P. (1982). Predicting crop production as related to plant water stress. Advances in Agronomy 35, 193215.CrossRefGoogle Scholar
Hodges, T. & French, V. (1985). Soyphen: soybean growth stages modeled from temperature, daylength, and water availability. Agronomy Journal 11, 500505.CrossRefGoogle Scholar
Kallsen, C. E., Sammis, T. W. & Gregory, E. J. (1984). Nitrogen and yield as related to water use of spring barley. Agronomy Journal 76, 5964.CrossRefGoogle Scholar
Kanemasu, E. T., Stone, L. R. & Powers, J. L. (1976). Evapotranspiration model tested for soybean and sorghum. Agronomy Journal 68, 569572.CrossRefGoogle Scholar
Prihar, S. S., Khera, K. L., Sandhu, K. S. & Sandhu, B. S. (1976). Comparison of irrigation schedules based on pan evaporation and growth stages in winter wheat. Agronomy Journal 68, 650653.CrossRefGoogle Scholar
Rasmussen, V. P. & Hanks, R. J. (1978). Spring wheat yield model for limited moisture conditions. Agronomy Journal 70, 940944.CrossRefGoogle Scholar
Ritchie, J. T. (1972). Model for predicting evaporation from a row crop with incomplete cover. Water Resources Research 8, 12041213.CrossRefGoogle Scholar
Wang, J. Y. (1960). A critique of the heat unit approach to plant response studies. Ecology 41, 785790.CrossRefGoogle Scholar
Wann, M. & Raper, C. D. Jr, (1984). A dynamic model for plant growth: validation study under changing temperatures. Annals of Botany 53, 4552.CrossRefGoogle ScholarPubMed
Whisler, F. D., Acock, B., Baker, D. N., Fye, R. E., Hodges, H. F., Lambert, J. R., Lemmon, H. E., McKinion, J. M. & Reddy, V. R. (1986). Crop simulation models in agronomic systems. Advances in Agronomy 40, 141208.CrossRefGoogle Scholar