Using Air Temperature to Predict Forage Production of Nilegrass
Other Title
利用氣溫預測尼羅草之牧草產量
Journal
中華民國雜草學會會刊
Journal Volume
27
Journal Issue
2
Pages
79-90
Date Issued
2006-12-01
Date
2006-12-01
Author(s)
Abstract
The aboveground fresh weights (forage fresh yield) were measured and the maximum, mean, and minimum hourly air temperatures were recorded for nilegrass (Acroceras macrum cv. Taishi No. 1) vegetation grown in the experimental pasture of Taiwan Livestock Research Institute (Hsinhua, Taiwan) during the nine growing seasons in 2002-2004. Data from 6 seasons were used to establish the forage yield-air temperature relationships and the rest data from the other 3 seasons were used for models' validation. As the results shown, the relationships between forage fresh yield and accumulated hourly air temperatures were found fitted to a quadratic function with R^2 value greater than 0.66 (P-value less than 0.0001), irrespective to use maximum, mean, or minimum hourly air temperature as temperature variable. When using the regression equation with mean hourly air temperature as input for validation, result demonstrated its applicability in accounting for more than 93% variability of yield prediction. Results further indicated that the accumulated mean air temperatures of daytime and nighttime hours were also corresponded to forage fresh yield. The relationship can be improved by substituting with the values of temperature difference between daytime and nighttime hours, yet the applicability was in a lesser extent. As a result, the established regression equations using air temperature as a predictor have proved their feasibility and applicability as tools for predicting forage yield. However, more data covering a wider range of environmental variation is needed for models' improvement and validation if an accurate yield prediction if of concern.
Subjects
air temperature
forage yield prediction
day-night temperature difference
Nilegrass
model validation
氣溫
牧草產量預測
日夜溫差
尼羅草
模式驗證
Publisher
中華民國雜草學會
Type
journal article
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