SciELO - Scientific Electronic Library Online

 
vol.12 issue1A NON-DESTRUCTIVE MODEL FOR ESTIMATING LEAF AREA INTHREE FOREST SPECIESDETERMINATION OF PHENOLOGICAL FRUIT STAGES OF Vitis vinifera L. UNDER TROPICAL HIGH PLATEU CONDITIONS IN BOYACÁ author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Revista U.D.C.A Actualidad & Divulgación Científica

Print version ISSN 0123-4226

Abstract

CARDONA AYALA, Carlos; ARAMENDIZ TATIS, Hermes  and  BARRERA CAUSIL, Carlos. ESTIMATION OF PAPAYA (Carica papaya L.) LEAF AREA BASED ON NON-DESTRUCTIVE SAMPLING. rev.udcaactual.divulg.cient. [online]. 2009, vol.12, n.1, pp.131-139. ISSN 0123-4226.

The papaya (Carica papaya L) is a very important crop in the Cordoba state, especially for the good fruit quality. This research was carried out at Montería at 13masl, 27.4°C, annual rainfall of 1346.1mm, 84% relative humidity and 2180.2 hours annual sunlight, in order to obtain a model to estimate the plants leaf area, based on non-destructive sampling. A probability sampling procedure was used to select different size leaves and developmental stages from the upper, middle and lower canopy of adult plants of the red Maradol variety. Maximum leaf length and width, width of the middle third, fourth, fifth and two-thirds of leaf length, lobe width and midrib length of every lobe were registered with the purpose of identifying measures highly related to photosynthetic leaf area. The leaf area (Y) was measured based on the weight:area relation, from 30 leaves per canopy sample. Simple linear regression models and multiple linear regression were adjusted. A simple linear regression model was selected which independent variable representing the length of the midrib, next to the left next lobe and adjacent to the middle lobe (X). The adjusted model was: = -303,0742 + 31,2028X, R2 = 0,9335.

Keywords : Papaya; leaf area estimation; red Maradol; regression models.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License