Models for Estimating Morphological Characteristics of <i>Pennisetum giganteum</i> Leaves

BU Jianchao; ZHOU Tonghui; LIN Zhanxi; BAI Nini; XIA Jie; LIN Hui; LIN Dongmei; LIU Fengshan

doi:10.19303/j.issn.1008-0384.2022.004.015

Volume 37 Issue 4

Apr. 2022

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Article Navigation > Fujian Journal of Agricultural Sciences > 2022 > 37(4): 538-546

BU J C, ZHOU T H, LIN Z X, et al. Models for Estimating Morphological Characteristics of Pennisetum giganteum Leaves [J]. Fujian Journal of Agricultural Sciences，2022，37（4）：538−546 doi: 10.19303/j.issn.1008-0384.2022.004.015

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BU J C, ZHOU T H, LIN Z X, et al. Models for Estimating Morphological Characteristics of Pennisetum giganteum Leaves [J]. Fujian Journal of Agricultural Sciences，2022，37（4）：538−546 doi: 10.19303/j.issn.1008-0384.2022.004.015

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Models for Estimating Morphological Characteristics of Pennisetum giganteum Leaves

doi: 10.19303/j.issn.1008-0384.2022.004.015

BU Jianchao^{1, 2
,},
ZHOU Tonghui^{1, 2},
LIN Zhanxi^{2
,
,},
BAI Nini^{2, 3},
XIA Jie^{1, 2},
LIN Hui²,
LIN Dongmei²,
LIU Fengshan^{2
,
,}

1.
College of Life Sciences, Fujian Agriculture and Forestry University, Fuzhou, Fujian　350002, China
2.
China National Engineering Research Center of JUNCAO Technology, Fuzhou, Fujian　350002, China
3.
College of Forestry, Fujian Agriculture and Forestry University, Fuzhou, Fujian　350002, China

Received Date: 2021-12-16
Rev Recd Date: 2022-03-27

Available Online: 2022-04-24

Publish Date: 2022-04-28

Abstract

Abstract

Objective Mathematic models for estimating the morphological characteristics of Pennisetum giganteum leaves were constructed to facilitate the utilization of the plant material. Method Measurements on the length, width, area, and fresh weight of P. giganteum leaves were collected. Specifically, 7 parameters including length, width, (length× width), (length – width), (length + width), (length)², and (width)² of the leaves were used to construct fresh weight estimation models using univariate linear regression, binary linear regression, and quadratic trinomial analyses. Result The correlations among the various measurements had coefficients ranging from 0.74 to 0.91. The estimation models with the highest R² = 0.99 was on y_A = 0.72x_P, where y_A = leaf area and x_P = (length×width), and R²=0.96 on y_F=0.02x_P, where y_F = fresh weight and x_P = (length×width). The verification test on the regression equations between the estimated and actual leaf area showed R² = 0.99 with an RMSE of 18.67 cm²for leaf area and an RMSE of 0.67 g for fresh leaf weigh. Conclusion The models for estimating the area and fresh weight of P. giganteum leaves had high degree of validity in providing basic information for Juncao research.
- Pennisetum giganteum,
- leaf area estimation,
- estimated leaf fresh weight,
- model building

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