查詢結果分析
相關文獻
- A Simple and Inexpensive Technique for Estimating Leaf Surface Area of Muskmelon(Cucumis melo L.)
- 水稻非破壞性葉面積估算模式之準確度及應用性的比較
- 水稻葉面積估算係數的品種變異性分析
- Allometrical Growth of the Quantitative Characters of Plants Ⅱ. The Inheritance of Plant Leaf Shape and Leaf Size of Tobacco
- 水分對楓香及烏心石苗木生長之影響
- The Effect of Seed Source on the Leaf Morphology of Acer Velutinum (Boiss.) Seedlings
- 宋代蓮葉形枕述略
- 氮肥用量對一、二期作水稻產量及生育性狀的影響
- 西部沿海地區臺灣海桐、榕樹、夾竹桃之幼年期生長
- 墾丁熱帶森林六種樹苗生長性狀及光合作用對光量的可塑性
頁籤選單縮合
題 名 | A Simple and Inexpensive Technique for Estimating Leaf Surface Area of Muskmelon(Cucumis melo L.)=一種簡單經濟的洋香瓜葉面積估算技術 |
---|---|
作 者 | 吳惠卿; 陳烈夫; 魏夢麗; 呂秀英; | 書刊名 | 臺灣農業研究 |
卷 期 | 59:2 2010.06[民99.06] |
頁 次 | 頁71-77 |
分類號 | 435.261 |
關鍵詞 | 葉面積; 非破壞性估算; 線性回歸模式; 葉形; 預測準確度; Surface leaf area; Nondestructive estimation; Linear regression model; Leaf shape; Prediction accuracy; |
語 文 | 英文(English) |
中文摘要 | 葉面積是用來判斷洋香瓜生長發育的重要指標。本研究之目的須使用任何昂貴的測量儀器下,以非破壞性取樣之方式,發展一個僅需測量葉片之長度及寬度的葉面積簡易估算模式。試驗材料爲3個洋香瓜品種:天華(Tianhun)、秋蜜(Chioumih)及朱芬(Zhufen),在農業試驗所2007年栽培期間取出各品種植株上各層植冠的葉片,測量其葉裂凹點至葉尖之主脈長(L)、最大葉寬(W)及葉表面積(A)後,進行回歸分析(regression analysis)。結果發現,3個洋香瓜品種間的葉形迥異,影響了不同葉面積估算模式的預測準確度。針對秋蜜及朱芬兩個洋香瓜品種,回歸式中以W^2作爲預測變數的葉面積估算模式具有最準確的預測效果,其估算係數分別爲0.70及0.62;而天華品種則以A=0.67×L×W模式的預測準確度最高,其次A=0.62×L^2及A=0.71×W^2也在可接受誤差範圍內。這些模式所預測的葉面積與實測葉面積之間可達1:1關係,且其各種預測準確度統計量皆較低,如均方誤差在451-762之間、總葉面積誤差率≦1.34%、以及單葉面積平均誤差率≦0.25%。透過本研究所建立之線性回歸模式,可免於破壞植株生長,簡單、快速、經濟且準確地估算出洋香瓜的葉面積。 |
英文摘要 | Leaf area is a valuable index in identifying muskmelon (Cucumis melo L.) growth and development. A simple technique was developed for estimating leaf surface area (A) of muskmelon with measurements of leaf length from the sinus base to the apex of leaf along midrib (L) and/or maximum leaf width (W) without the use of any expensive instruments. Leaves for three muskmelon varieties, Chioumih, Zhufen and Tianhun were collected from different levels of the canopy of plants during the growing season in 2007 at Taiwan Agricultural Research Institute, Wufeng, Taichung, Taiwan. Each leaf was measured for L, W and A. Data analysis were performed by regression technique. Results showed that differences in leaf shape among these varieties affected the performances of prediction accuracy in different models for leaf area estimation. The linear equations having W2 as the independent variable provided the most accurate estimation of A for Chioumih and Zhufen muskmelons, with leaf area coefficients of 0.70 and 0.62, respectively. For Tianhun muskmelon, the equation of A=0.67 × L × W exhibited the highest accuracy of leaf area estimation, and the equations of A=0.62 × L2 and A=0.71 × W2 could also be adopted. With these models, a high degree of 1:1 relationship was obtained between measured and predicted leaf areas, and they produced satisfactory results of lower mean squared deviation (in the range of 451 to 762), lower percentage of deviation for total leaf area (≦1.34%), and lower mean percentage of deviation for individual leaf area (≦0.25%). The linear regression model was simple, rapid, inexpensive and accurate for estimation of leaf surface area of muskmelon and nondestructive to plant growth. |
本系統中英文摘要資訊取自各篇刊載內容。