منابع مشابه
Adaptation and evaluation of the GrazeIn model of grass dry matter intake and milk yield prediction for grazing dairy cows.
The prediction of grass dry matter intake (GDMI) and milk yield (MY) are important to aid sward and grazing management decision making. Previous evaluations of the GrazeIn model identified weaknesses in the prediction of GDMI and MY for grazing dairy cows. To increase the accuracy of GDMI and MY prediction, GrazeIn was adapted, and then re-evaluated, using a data set of 3960 individual cow meas...
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Thermodynamic methods to predict true yield and stoichiometry of bacterial reactions have been widely used in biotechnology and environmental engineering. However, yield predictions are often inaccurate for certain simple organic compounds. This work evaluates an existing method and identifies the cause of prediction errors for compounds with low degree of reductance of carbon. For these compou...
متن کاملWater yield following forest–grass–forest transitions
Many currently forested areas in the southern Appalachians were harvested in the early 1900s and cleared for agriculture or pasture, but have since been abandoned and reverted to forest (old-field succession). Land-use and land-cover changes such as these may have altered the timing and quantity of water yield (Q). We examined 80 years of streamflow and vegetation data in an experimental waters...
متن کاملThe Malays1an Forester Growth Modelling and Yield Prediction for Sustainable Forest Management
A brief synthesis of milestones in forest growth modelling helps to establish research topics for further model development in managed tropical forests. Forest growth models have become indispensable for forest management, but need further development to realize their full utility. Feedback from monitoring predictions versus realizations should provide the basis for continuing improvement, both...
متن کاملWheat yield prediction through agrometeorological indices for Hamedan, Iran
Yield prediction before harvesting is one of the tools in order to planning food production supply in future.Yield prediction was carried out for Wheat(Triticum aestivum) using different meteorological variables with agrometeorological indices in Hamedan district during 2003-04 and 2004-05. According to correlation coefficients, standard error of estimate as well as relative deviation of predic...
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ژورنال
عنوان ژورنال: FORMATH
سال: 2002
ISSN: 2188-5729
DOI: 10.15684/formath.01.005