Connecting Biochemical Photosynthesis Models with Crop Models to Support Crop Improvement
نویسندگان
چکیده
منابع مشابه
Connecting Biochemical Photosynthesis Models with Crop Models to Support Crop Improvement
The next advance in field crop productivity will likely need to come from improving crop use efficiency of resources (e.g., light, water, and nitrogen), aspects of which are closely linked with overall crop photosynthetic efficiency. Progress in genetic manipulation of photosynthesis is confounded by uncertainties of consequences at crop level because of difficulties connecting across scales. C...
متن کاملCrop Models as Decision Support Systems in Crop Production
The current challenges crop production faces in the context of required yield increases while reducing fertilizer, water and pesticide inputs have created an increasing demand for agronomic knowledge and enhanced decision support guidelines, which are difficult to obtain on spatial scales appropriate for use in a multitude of global cropping systems. Nowadays crop models are increasingly being ...
متن کاملCan improvement in photosynthesis increase crop yields?
The yield potential (Yp) of a grain crop is the seed mass per unit ground area obtained under optimum growing conditions without weeds, pests and diseases. It is determined by the product of the available light energy and by the genetically determined properties: efficiency of light capture (epsilon i), the efficiency of conversion of the intercepted light into biomass (epsilon c) and the propo...
متن کاملCrop Growth Simulation Models
1. Introduction Systems approach has been used by engineers since the 1950's for the study of complex and dynamic processes but their use by scientists working in biological fields is relatively recent. A system is defined as any well delineated part of reality which may contain a number of interrelated elements forming the systems structure. These functioning components interact in various way...
متن کاملHeteroskedasticity in Crop Yield Models
This study examines three alternative models of correcting for heteroskedasticity in wheat yield: the time trend variance, the GARCH, and an econometric model that includes the potential sources of heteroskedasticity. Nonnested test results suggest that modeling the sources of heteroskedasticity is the preferred procedure. Including potential sources of heteroskedasticity as explanatory variabl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Plant Science
سال: 2016
ISSN: 1664-462X
DOI: 10.3389/fpls.2016.01518