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001-es BibID:BIBFORM099101
Első szerző:Magyar Zoltán (élelmiszerbiztonsági és -minőségi mérnök, élelmiszermérnök)
Cím:Studying standard and rheological quality parameters of winter wheat by Python visualisation / Magyar Zoltán, Pepó Péter
Dátum:2021
ISSN:1214-1178 1805-9368
Megjegyzések:This study was carried out to present an innovative solution for interpreting large data sets in agri-statistics with the invocation of programmed visualisation. Moreover, the following polyfactorial long-term experiment embodies a comprehensive study of 18 wheat quality parameters. The effect of increasing dosages of fertiliser (control, N90PK, N150PK) was examined on 3 winter wheat cultivars (KG Kunhalom, GK Csillag, Hybiza) in two consecutive growing seasons (2018?2019). The ecological conditions of 2018 gave a significantly higher yield, meanwhile 2019 significantly augmented gluten spread, alveographic tenacity, alveographic deformation work, valorigraphic stability and quality group and loaf volume. N90PK dosage was enough to realise yield and quality potential as well. Fertilising significantly improved 13 indices, namely yield, crude protein, Zeleny index, wet gluten content, alveographic extensibility, alveographic deformation work, valorigraphic water absorption, quality number and group, dough development time, stability, softening and loaf volume. Considering yield, cv. Hybiza performed better, while cvs. KG Kunhalom and GK Csillag possessed significantly better protein-linked postharvest attributes. One of the most important findings is that waffle chart, joint plot, correlation matrix and complexradar of Python provide a very powerful tool in agri-statistics. Also, the results can potentially improve the knowledge about cultivar-specific agronomy practice, wheat quality and the connections between these parameters.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Plant, Soil and Environment. - 67 : 12 (2021), p. 712-720. -
További szerzők:Pepó Péter (1955-) (agrármérnök)
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00008
EFOP
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2.

001-es BibID:BIBFORM104421
035-os BibID:(WoS)000685041000003 (Scopus)85113818685
Első szerző:Pepó Péter (agrármérnök)
Cím:Effect of agrotechnical factors on soil chemical traits and maize yield on Chernozem in the long-term experiment / Peter Pepo
Dátum:2021
ISSN:1214-1178 1805-9368
Megjegyzések:The effect of agrotechnical elements (crop rotation, fertilisation, irrigation) on maize yield and various chemical characteristics of the soil (pHH2O, pHKCl, hydrolytic acidity (y1)) were examined in a long-term experiment (established in 1983) on calcareous Chernozem in the Hajdúság region of Hungary. The yield obtained in 2019 showed the favourable water supply of the crop year and outstanding nutrient utilisation of maize. In the control (non-fertilised) treatments, maize yield was 8 t/ha in monoculture, 11 t/ha in biculture and 12 t/ha in triculture, while the highest yield obtained with the optimum fertiliser treatment increased to 13, 13.5 and 14 t/ha, respectively. In the long-term experiment established 35 years ago, the pH values of the soil greatly decreased in comparison to the initial value. The following ranges were observed in monoculture: 5.57?6.49 (pHH2O), 4.69?5.34 (pHKCl), in biculture: 5.22?6.62 (pHH2O) and 4.36?5.68 (pHKCl), and in triculture: 5.46?6.29 (pHH2O), and 4.56?5.24 (pHKCl). Hydrolytic acidity values (mono y1 = 7.75?14.75, bi y1 = 11.50?23.00, tri y1 = 10.13?18.38) showed strong soil acidity. In the long-term experiment, a moderate (0.512xx, LSD0.01=xx) correlation between fertilisation and yield and a moderate (0.397xx) correlation between crop rotation and yield could be established on Chernozem. A moderately negative (pHH2O = ?0.594xx, pHKCl = ?0.543xx) correlation was found between the yield and pH values, while a moderately positive (y1 = 0.409xx) correlation was found between the hydrolytic acidity and yield.
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
soil acidification
buffer capacity
soil fertility
Zea mays L.
Megjelenés:Plant Soil Environment. - 67 : No. 8 (2021), p. 453-459. -
Pályázati támogatás:EFOP-3.6.3-VEKOP-16-2017-00008
EFOP
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3.

001-es BibID:BIBFORM064304
Első szerző:Pepó Péter (agrármérnök)
Cím:Correlation between photosynthetic traits and yield in sunflower / P. Pepó, A. Novák
Dátum:2016
ISSN:1214-1178 1805-9368
Megjegyzések:The impact of sowing dates (early, normal, and late) on the crop physiological parameters (LAI, SPAD) and yield of sunflower hybrids (NK Neoma, NK Ferti, PR64H42) was observed in 2012, 2013, and 2014 on chernozem soil in Eastern Hungary. The obtained LAImax values were 5.1-5.3 m2/m2 (early sowing date), 4.5-5.2 m2/m2 (normal sowing date) and 4.4-5.2 m2/m2 (late sowing date). Pearson's correlation analysis revealed a close negative correlation between LAImax and sowing date in 2013 and 2014 (r=-0.920**, r=-0.813**) and an average, non significant correlation between LAImax and sunflower yield (r=0.575NS, r=0.509NS). The relative chlorophyll content was not significantly affected by either growing year, sowing date or genotype in the period between May and July (~40). In the case of high infection index (Ii) values (2012), sunflower hybrids had the highest yield in late sowing date (4.3-5.3 t/ha). However, average Ii values (2013) were associated with the highest yields in normal sowing date (5.1-5.3 t/ha) and moderate Ii values (2014) showed the highest yields in early sowing dates (4.6-5.1 t/ha).
Tárgyszavak:Agrártudományok Növénytermesztési és kertészeti tudományok idegen nyelvű folyóiratközlemény külföldi lapban
LAI
SPAD
infection index
Megjelenés:Plant, Soil and Environment. - 62 : 7 (2016), p. 335-340. -
További szerzők:Novák Adrienn (1984-) (agrármérnök)
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