Abstract
ABSTRACT The aim of this study was to estimate cardinal temperatures (base, optimum, and maximum), and simulate the vegetative development of guava crop through phyllochron (linear) and Wang and Engel (nonlinear) models at the seedling phase. The experiment was conducted in Itajubá, MG, Brazil (22° 24’ 46.43” S 45° 26’ 48.94” W), for two years in a completely randomized design with twelve sowing dates and five experimental units per treatment, totaling sixty experimental units. The cardinal temperatures were estimated using twelve methods described in the literature and the values were: base, 10.9 °C, optimum, 17.3 °C and maximum, 51.2 °C. The phyllochron model was superior to Wang and Engel’s model for simulation of vegetative growth of guava, with root mean square error of 1.5 leaves.
Highlights
Guava (Psidium guajava L.) is a perennial fruit crop of family Myrtaceae
Each experimental units (EU) consisted of two plants initially developed in an 11 L white polyethylene pot (23 cm height, 24 cm upper diameter and 20 cm lower diameter) filled with moderate horizon Oxisol soil collected in Itajubá, MG, Brazil
During the 12 sowing dates, air temperature ranged from 2.3 oC to 35.7 oC
Summary
Guava (Psidium guajava L.) is a perennial fruit crop of family Myrtaceae. The fruits present sweet-acidified flavor and pleasant aroma, which is the major reason for its great variety of products, uses and forms of consumption (Velho et al, 2011; Campos et al, 2013). Vegetative and reproductive development of guava is directly influenced by the air temperature (Pereira & Kavati, 2011), whose effect represents the daily energy accumulation available for the development of the plant. This energy can be determined by linear functions such as the phyllochron (FIL) or nonlinear function, with Wang and Engel's model (WE) being the best known (Wang & Engel, 1998). Both models require the inclusion of cardinal temperatures (base (Tb), optimum (Tot), and maximum (TB)), which represent the thermal limits for the proper development of plants (Freitas et al, 2017; Callejas et al, 2014)
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