Abstract
Abstract: The objective of this work was to identify the minimum base temperature (Tb) and the maximum base temperature (TB) to predict the thermal time for six phenological stages of feijoa (Acca sellowiana) accessions. During ten noncontinuous harvests (2004 to 2017), 247 feijoa accessions, maintained in the Feijoa Active Germplasm Bank, in São Joaquim, in the state of Santa Catarina, Brazil, had their data recorded for: initial sprouting (IS), initial flowering (IF), end of flowering (EF), beginning of harvest (BH), and end of harvest (EH). Tb and TB were estimated by the Arnold’s method of least variability, and the TT requirements were obtained by Ometto’s method. Tb at 7.76°C and TB at 17.0°C were necessary when feijoa plants started growing (IS stage) just after winter; and Tb at 10.6°C and TB at 19.5°C were the calculated values from IS until BH. The budding stage of the accessions began in the mid-September (50.6%); flowering occurred predominantly in November (90%); and harvest began in March and lasted until May. About 176 days, with 1,014.4 growing degree-days, are necessary to complete the productive cycle from IS until BH. The early, intermediary, and late fruit-ripening accessions show different thermal time requirements.
Highlights
IntroductionThe study of the phenological calendar made it possible to predict the phenological times of any genotype, and the estimation of the number of days required for each event, and to design the management practices for the improvement of the crop productivity
The results of the present study corroborates those by Ducroquet et al (2000), performed in the same region, who found that the beginning of sprouting occurred in the middle of September, when plants showed new apical releases
The sprouting of the 247 accessions of feijoa (Acca sellowiana) from the Active Germplasm Bank (AGB‐Feijoa) begins in the middle of September, extending until the end of October; and the flowering of feijoa begins in the end of October, but it is concentrated in the end of November
Summary
The study of the phenological calendar made it possible to predict the phenological times of any genotype, and the estimation of the number of days required for each event, and to design the management practices for the improvement of the crop productivity. This method has been used in studies with fruit trees for the prediction of phenophases: feijoa (Ducroquet & Hickel, 1991); cactus pear (Segantini et al, 2010); green figs (Campagnolo et al, 2010), and apples (Lopes et al, 2012), among others
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