Leaf Area Estimation Models for Ginger (Zingibere officinale Rosc.)

A. Netsere, G. Hailemichael, E. Taye
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引用次数: 4

Abstract

The study was carried out to develop leaf area estimation models for three cultivars (37/79, 38/79 and 180/73) and four accessions (29/86, 30/86, 47/86 and 52/86) of ginger. Significant variations were observed among the tested genotypes in leaf length (L), leaf width (W) and actual leaf area (ALA). Leaf area was highly correlated with L  W, followed by L + W, L and W. Regression equations developed for the aforementioned cultivars and accessions were Y = 13.6 + 1.204X, Y = 4.244 + 1.349X, Y = 0.516 + 1.428X, Y = -54.627 + 2.201X, Y = 1.811 + 1.421X, Y = -2.386 + 1.489X and Y = -4.614 + 1.831X respectively, where Y is estimated leaf area (ELA) and X is L  W, and have R2 ranged between 0.916 and 0.942. Simple constants (K) were also derived from L  W and have the values of 1.454, 1.458, 1.396, 1.626, 1.433, 1.586 and 1.429 for the respective genotypes. On all cultivars and accessions, the correlation coefficients (r) computed between ALA and ELA [K (L  W)] were positive and significant (p < 0.01). Hence both the regression models and K developed are employed equally for estimating the areas of intact ginger leaves.
姜叶面积估算模型研究
以3个生姜品种(37/79、38/79和180/73)和4个生姜品种(29/86、30/86、47/86和52/86)为研究对象,建立了叶面积估算模型。叶片长度(L)、叶片宽度(W)和实际叶面积(ALA)在不同基因型间存在显著差异。叶面积与LW高度相关,其次是L + W、L和W .回归方程为上述品种开发和到达是Y = 13.6 + 1.204 X, Y = 4.244 + 1.349 X, Y = 0.516 + 1.428 X, Y = -54.627 + 2.201 X, Y = 1.811 + 1.421 X, X和Y Y = -2.386 + 1.489 = -4.614 + 1.831 X, Y估计叶面积(ELA)和X LW, R2介于0.916和0.942之间。LW的简单常数K值分别为1.454、1.458、1.396、1.626、1.433、1.586和1.429。在所有品种和材料上,ALA与ELA [K (LW)]的相关系数r均为极显著正相关(p < 0.01)。因此,回归模型和所建立的K值均可用于估算生姜完整叶面积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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