Non-destructive estimation of the leaf weight and leaf area in common bean

Regression models to predict leaf area and leaf weight in common bean (Phaseolus vulgaris) were fitted using the three leaflets of the leaves. A total of 1504 leaves from 40 genotypes were collected, covering a large range of leaf sizes. Width, length, area, and weight were measured for each leaflet...

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Main Authors:	Suárez Salazar, Juan C., Casanoves, Fernando, Di Rienzo, Julio
Other Authors:	Pasquale Losciale
Format:	Artículo
Language:	Inglés
Published:	MDPI 2022
Subjects:	FRIJOL (PHASEOLUS) COMMON BEANS PHASEOLUS VULGARIS SUPERFICIE FOLIAR LEAF AREA ANATOMIA DE LA PLANTA PLANT ANATOMY LEAF MORPHOLOGY MODEL VALIDATION Sede Central
Online Access:	https://repositorio.catie.ac.cr/handle/11554/11687

id	RepoCATIE11687
record_format	dspace
spelling	RepoCATIE116872023-11-16T16:23:54Z Non-destructive estimation of the leaf weight and leaf area in common bean Suárez Salazar, Juan C. Casanoves, Fernando Di Rienzo, Julio Pasquale Losciale FRIJOL (PHASEOLUS) COMMON BEANS PHASEOLUS VULGARIS PHASEOLUS VULGARIS SUPERFICIE FOLIAR LEAF AREA ANATOMIA DE LA PLANTA PLANT ANATOMY LEAF MORPHOLOGY MODEL VALIDATION Sede Central Regression models to predict leaf area and leaf weight in common bean (Phaseolus vulgaris) were fitted using the three leaflets of the leaves. A total of 1504 leaves from 40 genotypes were collected, covering a large range of leaf sizes. Width, length, area, and weight were measured for each leaflet. The total leaf area and weight was obtained by the sum of left, central, and right leaflets. The dataset was randomly divided into training and validation sets. The training set was used for model fitting and selection, and the validation dataset was used to obtain statistics for model prediction ability. The leaf area and leaf weight were modeled using different linear regression models based on the length and width of the leaflet. Polynomial regressions involving both length and width of the leaflet provided very good models to estimate the expected area (R2 = 0.978) and weight (R2 = 0.820) of leaves. 2022-03-16T19:17:46Z 2022-03-16T19:17:46Z 2022 Artículo https://repositorio.catie.ac.cr/handle/11554/11687 openAccess en Agronomy https://doi.org/10.3390/agronomy12030711 14 páginas application/pdf Basel (Switzerland) MDPI Agronomy; Vol. 12, no. 3
institution	Centro Agronómico Tropical de Investigación y Enseñanza
collection	Repositorio CATIE
language	Inglés
topic	FRIJOL (PHASEOLUS) COMMON BEANS PHASEOLUS VULGARIS PHASEOLUS VULGARIS SUPERFICIE FOLIAR LEAF AREA ANATOMIA DE LA PLANTA PLANT ANATOMY LEAF MORPHOLOGY MODEL VALIDATION Sede Central
spellingShingle	FRIJOL (PHASEOLUS) COMMON BEANS PHASEOLUS VULGARIS PHASEOLUS VULGARIS SUPERFICIE FOLIAR LEAF AREA ANATOMIA DE LA PLANTA PLANT ANATOMY LEAF MORPHOLOGY MODEL VALIDATION Sede Central Suárez Salazar, Juan C. Casanoves, Fernando Di Rienzo, Julio Non-destructive estimation of the leaf weight and leaf area in common bean
description	Regression models to predict leaf area and leaf weight in common bean (Phaseolus vulgaris) were fitted using the three leaflets of the leaves. A total of 1504 leaves from 40 genotypes were collected, covering a large range of leaf sizes. Width, length, area, and weight were measured for each leaflet. The total leaf area and weight was obtained by the sum of left, central, and right leaflets. The dataset was randomly divided into training and validation sets. The training set was used for model fitting and selection, and the validation dataset was used to obtain statistics for model prediction ability. The leaf area and leaf weight were modeled using different linear regression models based on the length and width of the leaflet. Polynomial regressions involving both length and width of the leaflet provided very good models to estimate the expected area (R2 = 0.978) and weight (R2 = 0.820) of leaves.
author2	Pasquale Losciale
author_facet	Pasquale Losciale Suárez Salazar, Juan C. Casanoves, Fernando Di Rienzo, Julio
format	Artículo
author	Suárez Salazar, Juan C. Casanoves, Fernando Di Rienzo, Julio
author_sort	Suárez Salazar, Juan C.
title	Non-destructive estimation of the leaf weight and leaf area in common bean
title_short	Non-destructive estimation of the leaf weight and leaf area in common bean
title_full	Non-destructive estimation of the leaf weight and leaf area in common bean
title_fullStr	Non-destructive estimation of the leaf weight and leaf area in common bean
title_full_unstemmed	Non-destructive estimation of the leaf weight and leaf area in common bean
title_sort	non-destructive estimation of the leaf weight and leaf area in common bean
publisher	MDPI
publishDate	2022
url	https://repositorio.catie.ac.cr/handle/11554/11687
work_keys_str_mv	AT suarezsalazarjuanc nondestructiveestimationoftheleafweightandleafareaincommonbean AT casanovesfernando nondestructiveestimationoftheleafweightandleafareaincommonbean AT dirienzojulio nondestructiveestimationoftheleafweightandleafareaincommonbean
_version_	1808116192084230144

Non-destructive estimation of the leaf weight and leaf area in common bean

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