Tag Archives: phenology

621–634 I. Plūduma-Pauniņa, Z. Gaile, B. Bankina and R. Balodis
Variety, seeding rate and disease control affect faba bean yield components
Abstract |

Variety, seeding rate and disease control affect faba bean yield components

I. Plūduma-Pauniņa¹²*, Z. Gaile¹, B. Bankina¹ and R. Balodis¹

¹Latvia University of Life Sciences and Technologies, Faculty of Agriculture, Institute of Soil and Plant Science, Liela street 2, LV-3001 Jelgava, Latvia
²Latvia University of Agriculture, Faculty of Agriculture, Research and Study Farm “Pēterlauki”, Platone parish, LV-3021, Latvia
*Correspondence: ievapluuduma@inbox.lv

Abstract:

Faba beans (Vicia faba L.) have been grown since 8000 years B.C. in the Middle East. Despite their long growing history in the world, there are only few researches carried out in Baltic region in last decades about variety, seeding rate and disease control effect on faba beans’ growth, development and yield formation. Research was carried out at the Latvia University of Life Sciences and Technologies during 2015–2017. Three factors were researched: A – variety (‘Laura’, ‘Boxer’, ‘Isabell’), B – seeding rate (30, 40 and 50 germinate able seeds m-2), C – treatment with fungicide (with and without application of fungicide Signum (1 kg ha-1)). Meteorological conditions were diverse and sometimes caused stress for crop, but in general they favoured faba beans’ growth and development. High average yield of the field beans was obtained during all three trial years, however, yield differed significantly among them. Sowing time was constantly quite early, germination took longer time as expected due to the low air temperature, but later, temperature and humidity level improved and conditions were suitable for plant growth and development with some exceptions during flowering and pod filling. Number of productive stems per 1 m2 was significantly affected only by seeding rate. Plant height in trial site was affected by variety (p < 0.001), fungicide application (p = 0.008) and meteorological conditions (p < 0.001) of the year. Number of pods per plant differed depending on trial year (p < 0.001). Number of seeds per plant had a close positive correlation with number of pods per plant. Whereas number of seeds per pod was a relatively stable and typical characteristic for variety. We can observe correlation between faba bean yield and number of productive stems per 1 m2 at harvest, plant height, number of pods and seeds per plant.

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283-294 C.A. Bouzo and M.G. Küchen
Effect of temperature on melon development rate
Abstract |
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Effect of temperature on melon development rate

C.A. Bouzo* and M.G. Küchen

Universidad Nacional del Litoral, Facultad de CienciasAgrarias, Departamento deProducción Vegetal, Kreder 2805, S3080HOF Esperanza, Santa Fe, Argentina;
*Correspondence: cbouzo@arnet.com.ar

Abstract:

The effect of temperature on melon (Cucumis melo L.) development was quantified by means of a phenological model proposed for this species. A field experiment was conducted on five melon cultivars: ‘DRT’ (Charentais), ‘Ruidera’ (Piel de Sapo type), ‘Row’ (Yellow), ‘Sundew’ and ‘Max Honex’ (Honey Dew type). Air temperature data were collected in the greenhouse and the field at hourly intervals over the growing season by using two thermocouples located 0.5 m above the plants connected to a meteorological station datalogger. The simplified model for calculating Hourly Thermal Units (UTH) was used as a function of air temperature. Cardinal temperatures utilized are 10 °C, 34 °C and 45 °C for Tb (base), To (optimum) and Tx (maximum), respectively. The ∑UTH was correlated with the crop development and calculated Plastochron Interval (PI). The results identify differences in phenology of cultivars in response to temperature. The PI was significantly higher during the initial stage of growth to about five leaves with respect to subsequent stages. These results may indicate the existence of major post-transplant stress, although their causes were not studied here. The methodology used to study the temperature effect on the crop would have a tool for quantifying and predicting crop phenometry in this crop. However, this methodology may be adapted for other crop management systems.

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