Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum aestivum L.) under Irrigated Conditions

Abstract

The purpose of this study was to reveal the effect of minerals (Mg, S, Fe, N, Ca, Mn, Zn, P, Cu and K) and some yield component (seed weight per spike and SPAD) on seed yield, to show similarities/dissimilarities in behavior of genotypes and minerals by some statistical methods. Multiple regression (Minitab Software 16), conditional formatting (Excel 2016), principal component and classification (Statistica 10) and cluster
(NCSS) analyses were used in evaluation of data. Though some minerals are highly effective on some processes, their behavior in genotypes are almost similar and effect of them is integrative. Effectiveness of minerals are under genotype x environment interaction and mainly under genetic control. Seed weight per spike, SPAD, N, P, are closely related to seed yield; Fe, Mn, Zn and Cu are also related to photosynthesis.
Besides, Atay, Bezostaja, Harmankaya and Es 26 were determined as better genotypes in yield components and mineral content.