Modeling Physiology of Crop Development, Growth and Yield

Intuition has always been a major “tool” for physiologists, breeders, and agronomists in proposing traits or management practices to increase crop performance and yield. Often the intuitive ideas that triggered productive experiments led to important advances for increasing crop yield. How...

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Đã lưu trong:
Chi tiết về thư mục
Những tác giả chính: Soltani, Afshin, Sinclair, Thomas R
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: CABI 2014
Những chủ đề:
Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/37099
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Miêu tả
Tóm tắt:Intuition has always been a major “tool” for physiologists, breeders, and agronomists in proposing traits or management practices to increase crop performance and yield. Often the intuitive ideas that triggered productive experiments led to important advances for increasing crop yield. However, many of the obvious alterations of plant traits and management regimes have been exploited. For example, the next generation of crop improvements will require modifications of complex interactions in the plant or the cropping sys- tem. The outcomes of such modifications over a range of environmental condi- tions are less clear since many of these modifications have both a positive and negative impact on the plant and crop system. The intuitive “model” of how a crop works in the head of the experimental- ist used to gain past advances in crop performance will not be adequate to grasp the full complexity of the cropping system. Future advances by physiologists, breeders, and agronomists will require a new tool to consider the many interac- tions between plants and the environment, and the interactions within the plant. The hypotheses of how crops develop, grow, and form yield can be incorporated into quantitative simulation models to examine a range of ideas in many envi- ronments. The new tools of simulation models provide quantitative output about the probabilities of yield gain across growing season, and the magnitude of the yield changes. The intuitive ideas of the experimentalist can be evaluated within the quantitative format of a model before initiating a large experimental effort to understand the complex response to a trait or management modification.