Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Response of Lowland Rice Cultivars to Nitrogen Application

Response of Lowland Rice Cultivars to Nitrogen Application

Kant, Kamal
Gogoi, Meghna
Telkar, Shivkumar G.

Paperback

Botany & Horticulture

Currently unavailable to order

ISBN10: 6202059850
ISBN13: 9786202059855
Publisher: Lap Lambert Academic Pub
Published: May 14 2019
Pages: 124
Weight: 0.42
Height: 0.29 Width: 6.00 Depth: 9.00
Language: English
Prediction of productivity of any crop in a season has very important economic importance for a country. For yield improvements in rice, information about suitable management practices is rapidly increasing. The generation of new data through agronomic research methods is insufficient and time-consuming to meet these needs. It is important for a country like India, where productivity of crops in any season may vary greatly depending on the prevailing weather conditions of that season. In recent years, several dynamic crop growth simulation models have been developed to help in such a predictive process. Model accuracy in prediction and their sensitivity also help in mid-course correction, so that farmer can adopt a measure to avoid any drop in potential production of any crops. The main goal of a crop simulation model is to estimate crop production, resource use and environmental impact as a function of local weather and soil conditions and crop management. Agricultural system models have untapped potential to help agricultural research and technology transfer in the 21st century.

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