Correlation-Regression Analysis of Morphological-Production Traits of Wheat Varieties
Само за регистроване кориснике
2018
Аутори
Djurić, NenadProdanović, Slaven
Branković, Gordana
Djekić, Vera
Cvijanović, Gorica
Žilić, Sladjana
Dragičević, Vesna
Zečević, Veselinka
Dozet, Gordana
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
The investigation of three wheat varieties (PKB Talas, BG Merkur and PKB Lepoklasa) carried out at experimental field and laboratory of Institute PKB Agroekonomik, during two years 2009 and 2010. Correlations between morphological and production traits of plants number of shoots, number of spikelets per spike, number of grains per spike, 1000 grain weight and grain weight per spike, were studied. Correlations were observed separately for three Institute PKB Agroekonomik varieties. The manner of preparing data for calculating correlations influences obtained correlation values, and these values can differ substantially. Correlations calculated based on aggregated data are higher than those based on all data. Correlations differ for different varieties, which is logical, because each variety has a different genotype and specific genes forming various interactions. Taking into account all three varieties, high and positive correlations were found between: number of grains per spike and gr...ain weight per spike (>0.78), number of spikelets per spike and number of grains per spike (>0.79), and number of spikelets per spike and grain weight per spike (>0.73).
Кључне речи:
wheat / varieties / correlation-regression analysis / morphological-production traitsИзвор:
Romanian Biotechnological Letters, 2018, 23, 2, 13457-13465Издавач:
- Ars Docendi, Bucharest
Институција/група
Poljoprivredni fakultetTY - JOUR AU - Djurić, Nenad AU - Prodanović, Slaven AU - Branković, Gordana AU - Djekić, Vera AU - Cvijanović, Gorica AU - Žilić, Sladjana AU - Dragičević, Vesna AU - Zečević, Veselinka AU - Dozet, Gordana PY - 2018 UR - http://aspace.agrif.bg.ac.rs/handle/123456789/4732 AB - The investigation of three wheat varieties (PKB Talas, BG Merkur and PKB Lepoklasa) carried out at experimental field and laboratory of Institute PKB Agroekonomik, during two years 2009 and 2010. Correlations between morphological and production traits of plants number of shoots, number of spikelets per spike, number of grains per spike, 1000 grain weight and grain weight per spike, were studied. Correlations were observed separately for three Institute PKB Agroekonomik varieties. The manner of preparing data for calculating correlations influences obtained correlation values, and these values can differ substantially. Correlations calculated based on aggregated data are higher than those based on all data. Correlations differ for different varieties, which is logical, because each variety has a different genotype and specific genes forming various interactions. Taking into account all three varieties, high and positive correlations were found between: number of grains per spike and grain weight per spike (>0.78), number of spikelets per spike and number of grains per spike (>0.79), and number of spikelets per spike and grain weight per spike (>0.73). PB - Ars Docendi, Bucharest T2 - Romanian Biotechnological Letters T1 - Correlation-Regression Analysis of Morphological-Production Traits of Wheat Varieties EP - 13465 IS - 2 SP - 13457 VL - 23 UR - https://hdl.handle.net/21.15107/rcub_agrospace_4732 ER -
@article{ author = "Djurić, Nenad and Prodanović, Slaven and Branković, Gordana and Djekić, Vera and Cvijanović, Gorica and Žilić, Sladjana and Dragičević, Vesna and Zečević, Veselinka and Dozet, Gordana", year = "2018", abstract = "The investigation of three wheat varieties (PKB Talas, BG Merkur and PKB Lepoklasa) carried out at experimental field and laboratory of Institute PKB Agroekonomik, during two years 2009 and 2010. Correlations between morphological and production traits of plants number of shoots, number of spikelets per spike, number of grains per spike, 1000 grain weight and grain weight per spike, were studied. Correlations were observed separately for three Institute PKB Agroekonomik varieties. The manner of preparing data for calculating correlations influences obtained correlation values, and these values can differ substantially. Correlations calculated based on aggregated data are higher than those based on all data. Correlations differ for different varieties, which is logical, because each variety has a different genotype and specific genes forming various interactions. Taking into account all three varieties, high and positive correlations were found between: number of grains per spike and grain weight per spike (>0.78), number of spikelets per spike and number of grains per spike (>0.79), and number of spikelets per spike and grain weight per spike (>0.73).", publisher = "Ars Docendi, Bucharest", journal = "Romanian Biotechnological Letters", title = "Correlation-Regression Analysis of Morphological-Production Traits of Wheat Varieties", pages = "13465-13457", number = "2", volume = "23", url = "https://hdl.handle.net/21.15107/rcub_agrospace_4732" }
Djurić, N., Prodanović, S., Branković, G., Djekić, V., Cvijanović, G., Žilić, S., Dragičević, V., Zečević, V.,& Dozet, G.. (2018). Correlation-Regression Analysis of Morphological-Production Traits of Wheat Varieties. in Romanian Biotechnological Letters Ars Docendi, Bucharest., 23(2), 13457-13465. https://hdl.handle.net/21.15107/rcub_agrospace_4732
Djurić N, Prodanović S, Branković G, Djekić V, Cvijanović G, Žilić S, Dragičević V, Zečević V, Dozet G. Correlation-Regression Analysis of Morphological-Production Traits of Wheat Varieties. in Romanian Biotechnological Letters. 2018;23(2):13457-13465. https://hdl.handle.net/21.15107/rcub_agrospace_4732 .
Djurić, Nenad, Prodanović, Slaven, Branković, Gordana, Djekić, Vera, Cvijanović, Gorica, Žilić, Sladjana, Dragičević, Vesna, Zečević, Veselinka, Dozet, Gordana, "Correlation-Regression Analysis of Morphological-Production Traits of Wheat Varieties" in Romanian Biotechnological Letters, 23, no. 2 (2018):13457-13465, https://hdl.handle.net/21.15107/rcub_agrospace_4732 .