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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oai:scholar.dlu.edu.vn:DLU123456789-370992023-11-11T05:04:50Z Modeling Physiology of Crop Development, Growth and Yield Soltani, Afshin Sinclair, Thomas R Physiology 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. 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. 2014-04-24T01:02:12Z 2014-04-24T01:02:12Z 2012 Book 978 1 84593 970 0 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/37099 en application/pdf CABI |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Physiology Yield |
| spellingShingle |
Physiology Yield Soltani, Afshin Sinclair, Thomas R Modeling Physiology of Crop Development, Growth and Yield |
| description |
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. |
| format |
Book |
| author |
Soltani, Afshin Sinclair, Thomas R |
| author_facet |
Soltani, Afshin Sinclair, Thomas R |
| author_sort |
Soltani, Afshin |
| title |
Modeling Physiology
of Crop Development,
Growth and Yield |
| title_short |
Modeling Physiology
of Crop Development,
Growth and Yield |
| title_full |
Modeling Physiology
of Crop Development,
Growth and Yield |
| title_fullStr |
Modeling Physiology
of Crop Development,
Growth and Yield |
| title_full_unstemmed |
Modeling Physiology
of Crop Development,
Growth and Yield |
| title_sort |
modeling physiology
of crop development,
growth and yield |
| publisher |
CABI |
| publishDate |
2014 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/37099 |
| _version_ |
1782540444116189184 |