Growth requirements of different potato cultivars

Bernik, R.; Demšar, Ivan; Potrpin, J.

doi:10.17221/542/2015-pse

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…The accuracy of the device is +/-0.5 mm in all directions. (Potrpin and Bernik, 2015). The crosssectional area was termed tuber cluster.…”

Section: Methodsmentioning

confidence: 99%

“…The determination of vertical, horizontal and longitudinal span of the ridge is crucial for assessing tuber distribution in the soil. Bernik et al (2015) demonstrated significant variability in horizontal and vertical tuber distribution among different potato varieties. No measurements on longitudinal distribution have been performed until now.…”

Section: Introductionmentioning

confidence: 96%

See 1 more Smart Citation

The use of the model for determining potato (Solanum tuberosum L.) tuber distribution in the soil

Potrpin¹,

Benec

Bernik³

et al. 2017

AAS

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The paper focuses on the testing of a model for determining the distribution of potato tubers in the soil. Analytical testing of the model was performed at the laboratory of the Biotechnological Faculty (University in Ljubljana) in 2015 and in the same year, the model was tested in practice on a field owned by the company Zeleni Hit d.o.o. in Ljubljana. After the laboratory testing, the results were analyzed and additional steps were taken to expedite field measurements. To optimize the determination of the distribution of potato tubers in the soil, the program was upgraded to include threedimensional data acquisition. This allows accurate determination of the horizontal, vertical and longitudinal spans of the distribution of tubers in the soil. Specifically, the program calculates the shape of the tubers, vertical cover of tubers with soil and their minimum distance from the left and right edges of the ridge. The program also locates the center of the tubers, which is a key parameter (along with tuber mass) for determining the area of the tuber cluster. The laboratory testing of the model revealed successful data processing of the program and adequate precision analytics. The testing of the model in the field on Arizona potato variety revealed that the model includes all the data necessary for further processing. Based on the calculated data, it can be assumed with great certainty that the model enables the acquisition of all necessary data and accurately determines the distribution of potato tubers in the soil, ideal shape of the ridge and the minimum necessary depth and distance for the planting of Arizona seed potatoes. Pri preizkusu modela v laboratoriju smo določili korake za opravljanje meritev in opravili analizo rezultatov. Za optimalno določitev razporeditve gomoljev krompirja v tleh smo nadgradili program, ki sedaj omogoča 3D zajem podatkov. S tem lahko natančno ugotovimo horizontalni, vertikalni in vzdolžni razpon razporeditve gomoljev v tleh. S pomočjo programa za preračun oblike gomoljev lahko natančno določimo tudi vertikalno pokritost gomoljev ter minimalno oddaljenost od levega ter desnega roba lehe. Določimo lahko tudi center gomoljev, ki je skupaj z maso gomoljev ključen parameter za izračun ploščine ogrinjače. Ob preizkusu modela v laboratoriju smo ugotovili, da je s programi mogoče natančno zajeti podatke ter jih v programih tudi primerno obdelati. Tudi pri preizkusu modela na poskusnem polju smo na sorti krompirja Arizona spoznali, da je mogoče zajeti vse podatke, ki so potrebni za nadaljnjo obdelavo. Na podlagi izračunanih podatkov lahko z veliko gotovostjo trdimo, da model omogoča pridobivanje vseh potrebnih podatkov, s katerimi lahko merimo in zanesljivo napovemo razporeditev gomoljev krompirja v tleh, optimalno obliko lehe ter minimalno potrebno globino in razdaljo sajenja semenskega gomolja krompirja pri sorti Arizona.Ključne besede: krompir; gomolji; razporeditev gomoljev v tleh; matematični model; leha Rajko BERNIK et al.

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“…The accuracy of the device is +/-0.5 mm in all directions. (Potrpin and Bernik, 2015). The crosssectional area was termed tuber cluster.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%