Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix)

Abstract. Budiarto R, Poerwanto R, Santosa E, Efendi D, Agusta A. 2021. Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix). Biodiversitas 22: 2815-2820. Leaf is an economically important plant organ harvested from kaffir lime (Citrus hyst...

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Autores principales: Rahmat Budiarto, Roedhy Poerwanto, Edi Santosa, Darda Efendi, Andria Agusta
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Publicado: MBI & UNS Solo 2021
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spelling oai:doaj.org-article:f70370c2cd0042d88e1e2e3321da4d9c2021-11-22T12:13:35ZShort Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix)1412-033X2085-472210.13057/biodiv/d220545https://doaj.org/article/f70370c2cd0042d88e1e2e3321da4d9c2021-05-01T00:00:00Zhttps://smujo.id/biodiv/article/view/8197https://doaj.org/toc/1412-033Xhttps://doaj.org/toc/2085-4722Abstract. Budiarto R, Poerwanto R, Santosa E, Efendi D, Agusta A. 2021. Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix). Biodiversitas 22: 2815-2820. Leaf is an economically important plant organ harvested from kaffir lime (Citrus hystrix DC.) for flavor and fragrance. This study aimed to formulate and validate regression models to estimate the leaf area (LA) and leaf weight (LW) of bifoliate kaffir lime leaf. There were 220 bifoliate leaves collected from 22 individual plants planted on Bogor. Bifoliate C. hystrix leaf consisted of upper main leaflets and winged petiole as lower secondary leaflet. All leaves were pooled and then grouped randomly into two subgroups for model formulation and validation, respectively. Linear, zero intercepts linear, exponential, logarithmic, polynomial, zero intercept polynomial and power regressions were used to properly estimate LA and LW. There was 63 formula obtained from nine predictors following seven regression models. Selected nine formulas with the highest R2 plus a stepwise formula were further tested for validation. Stepwise always showed the highest R2 followed by total of leaf ,length (TL) both on LA and LW estimation. However, the stepwise seemed to be more complicated and time wasted than TL regression model. Thus, our recommendation models for non-destructive and simple estimation in C. hystrix bifoliate leaf were LA = 0.1997 (TL)2 + 0.4571 (TL) and LW = 0.0067 (TL)2 + 0.0065 (TL), respectively.Rahmat BudiartoRoedhy PoerwantoEdi SantosaDarda EfendiAndria AgustaMBI & UNS Soloarticleleaf lengthnon-destructive measurementregressionstepwisezero intercept polynomialBiology (General)QH301-705.5ENBiodiversitas, Vol 22, Iss 5 (2021)
institution DOAJ
collection DOAJ
language EN
topic leaf length
non-destructive measurement
regression
stepwise
zero intercept polynomial
Biology (General)
QH301-705.5
spellingShingle leaf length
non-destructive measurement
regression
stepwise
zero intercept polynomial
Biology (General)
QH301-705.5
Rahmat Budiarto
Roedhy Poerwanto
Edi Santosa
Darda Efendi
Andria Agusta
Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix)
description Abstract. Budiarto R, Poerwanto R, Santosa E, Efendi D, Agusta A. 2021. Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix). Biodiversitas 22: 2815-2820. Leaf is an economically important plant organ harvested from kaffir lime (Citrus hystrix DC.) for flavor and fragrance. This study aimed to formulate and validate regression models to estimate the leaf area (LA) and leaf weight (LW) of bifoliate kaffir lime leaf. There were 220 bifoliate leaves collected from 22 individual plants planted on Bogor. Bifoliate C. hystrix leaf consisted of upper main leaflets and winged petiole as lower secondary leaflet. All leaves were pooled and then grouped randomly into two subgroups for model formulation and validation, respectively. Linear, zero intercepts linear, exponential, logarithmic, polynomial, zero intercept polynomial and power regressions were used to properly estimate LA and LW. There was 63 formula obtained from nine predictors following seven regression models. Selected nine formulas with the highest R2 plus a stepwise formula were further tested for validation. Stepwise always showed the highest R2 followed by total of leaf ,length (TL) both on LA and LW estimation. However, the stepwise seemed to be more complicated and time wasted than TL regression model. Thus, our recommendation models for non-destructive and simple estimation in C. hystrix bifoliate leaf were LA = 0.1997 (TL)2 + 0.4571 (TL) and LW = 0.0067 (TL)2 + 0.0065 (TL), respectively.
format article
author Rahmat Budiarto
Roedhy Poerwanto
Edi Santosa
Darda Efendi
Andria Agusta
author_facet Rahmat Budiarto
Roedhy Poerwanto
Edi Santosa
Darda Efendi
Andria Agusta
author_sort Rahmat Budiarto
title Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix)
title_short Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix)
title_full Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix)
title_fullStr Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix)
title_full_unstemmed Short Communication: Allometric model to estimate bifoliate leaf area and weight of kaffir lime (Citrus hystrix)
title_sort short communication: allometric model to estimate bifoliate leaf area and weight of kaffir lime (citrus hystrix)
publisher MBI & UNS Solo
publishDate 2021
url https://doaj.org/article/f70370c2cd0042d88e1e2e3321da4d9c
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AT edisantosa shortcommunicationallometricmodeltoestimatebifoliateleafareaandweightofkaffirlimecitrushystrix
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