Author: Aleksandr Spiridonovich VolkovPublisher:
ISBN:
Category : Irrigation farming
Languages : en
Pages : 28
Book Description
Determining the Irrigation Regime for Spring Wheat in Zavolzh'e by the Heat and Water Balance Method
Author: Aleksandr Spiridonovich VolkovPublisher:
ISBN:
Category : Irrigation farming
Languages : en
Pages : 28
Book Description
The Irrigation of Wheat
Author: Franklin Stewart HarrisPublisher:
ISBN:
Category : Irrigation
Languages : en
Pages : 40
Book Description
Estimating Water Requirements for Hard Red Spring Wheat for Final Irrigations
Author: Roger O. AshleyPublisher:
ISBN:
Category : Wheat
Languages : en
Pages : 12
Book Description
Irrigated Wheat
Author: Howard M. RawsonPublisher: Food & Agriculture Organization of the UN (FAO)
ISBN:
Category : Electronic books
Languages : en
Pages : 110
Book Description
Wheat is one of the most important food sources in the developing world. Sustainable intensification of irrigated wheat requires an adequate and balanced use of inputs. This self-help publication aims to contribute to a rational use of inputs by pointing out the various things that can go wrong with wheat crops and also proposing some effective solutions for overcoming the problems.
Water Management, Consumptive Use, and Nitrogen Fertilization of Irrigated Winter Wheat in Western Kansas
Author: Jack T. MusickUse of Water of Spring Wheat on the Great Plains
Author: John Selden ColePublisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 42
Book Description
Spring Wheat in the Great Plains Area
Author: Ellery Channing ChilcottPublisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 44
Book Description
World Transindex
Author: Irrigated Wheat
Author: International Commission on Irrigation and DrainagePublisher: New Delhi
ISBN:
Category : Trigo
Languages : en
Pages : 550
Book Description
ICID publication
Modeling Spring Wheat Production as Influenced by Climate and Irrigation
Author: V. Philip Rasmussen Jr.Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
A model has been developed that predicts spring wheat grain and dry matter yield. Preliminary tests show very favorable results when predicting grain yield in two different climatic regimes, one being a dryland and another being an irrigated area. The strengths of the model lie in its simplicity, relatively available input data, and low computer processing time cost. Weakness of the model stem from the assumptions that allow its simplicity. The basic assumption in the model is that grain and dry matter yield can be related to the ratio of actual to potential transpiration, computed for each of five phenological stages. Actual and potential evapotranspiration, transpiration, and soil evaporation are obtained in the model by numerical operations on a potential evapotranspiration/potential soil evaporation array obtained by empirical formulae or pan data, and a modified crop coefficient. Soil water status is monitored in the model by taking into account the balance of irrigation, drainage, precipitation, soil water storage and evapotranspiration. Phenological data is computed by a simple numerical formula utilizing maximum and minimum temperatures during the season. Good agreement was found in comparing predicted versus actual heading date for four varieties over four different years. A field study was carried out to aid in model calibration and testing. A continuous variable plot design, with two replications of each of five spring wheat varieties (two soft white spring wheats and three hard red spring wheats)> This allowed a large number of data points to be measured that related yield to many water levels within the soil. Although this design leads to difficulties in classical statistical analysis, it was shown to be especially useful in calibration of a model of the type shown herein.