@article{article_397176, title={Determination of Relationship Between Minerals and Yield Components by Different Statistic Methods in Bread Wheat (Triticum aestivum L.) under Irrigated Conditions}, journal={Journal of Applied Biological Sciences}, volume={11}, pages={21–28}, year={2017}, url={https://izlik.org/JA92DS87YU}, author={Olgun, Murat and Sezer, Okan and Turan, Metin and Budak Başçiftçi, Zekiye and Ayter, N. Gözde and Aydın, Doğan and Ardıç, Murat and Koyuncu, Onur}, keywords={Bread wheat genotypes,mineral,yield components,statistical analyses,irrigated conditions}, abstract={<p>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  <span style="font-size: 0.9em;">per spike and SPAD) on seed yield, to show similarities/dissimilarities in behavior of genotypes and minerals by some statistical methods. Multiple  </span> <span style="font-size: 0.9em;">regression (Minitab Software 16), conditional formatting (Excel 2016), principal component and classification (Statistica 10) and cluster  </span> <span style="font-size: 0.9em;">(NCSS) analyses were used in evaluation of data. Though some minerals are highly effective on some processes, their behavior in genotypes  </span> <span style="font-size: 0.9em;">are almost similar and effect of them is integrative. Effectiveness of minerals are under genotype x environment interaction and mainly under  </span> <span style="font-size: 0.9em;">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.  </span> <span style="font-size: 0.9em;">Besides, Atay, Bezostaja, Harmankaya and Es 26 were determined as better genotypes in yield components and mineral content. </span> </p>}, number={1}