F.L. da Silva, I.R. Carvalho, V.J. Szareski, C. Troyjack, S.M. Dellagostin, F. Lautenchleger, A.B.N. Martins, H.E. Rodrigues, D. Boeno, S.M. Fachi, T. Pedó, F.A. Villela, V.Q. Souza
Published: May 28, 2019
Genet. Mol. Res. 18(2): GMR18204
DOI: https://doi.org/10.4238/gmr18204
Cite this Article:
F.L. da Silva, I.R. Carvalho, V.J. Szareski, C. Troyjack, S.M. Dellagostin, F. Lautenchleger, A.B.N. Martins, H.E. Rodrigues, D. Boeno, S.M. Fachi, T. Pedó, F.A. Villela, V.Q. Souza (2019). Predictor model and canonical interrelationships based on morphological, bromatological and grain yield characteristics of dual purpose wheat. Genet. Mol. Res. 18(2): GMR18204. https://doi.org/10.4238/gmr18204
About the Authors
F.L. da Silva, I.R. Carvalho, V.J. Szareski, C. Troyjack, S.M. Dellagostin, F. Lautenchleger, A.B.N. Martins, H.E. Rodrigues, D. Boeno, S.M. Fachi, T. Pedó, F.A. Villela, V.Q. Souza
Corresponding Author
I.R. Carvalho
Email: carvalho.irc@gmail.com
ABSTRACT
We evaluated correlations between yield, meteorological and bromatological characters in five genotypes of dual-purpose wheat submitted to different cutting management systems. The experiments were carried out in 2014 and 2015. The experimental design was a randomized block, organized in a factorial scheme, with five genotypes of dual purpose wheat (BRS Tarumã, BRS Umbu, BRS Figueira, BRS Guatambu and BRS 277), three cutting managements (one, two and three cuts), with three replicates. The data of each cut management were submitted to linear correlation analysis, canonical correlations and stepwise predictions . We conclude that yield and bromatological components of the forage are closely related to the meteorological attributes and cut management. Neutral and acid detergent fiber, hemicellulose, mineral matter and total carbohydrates are influenced by maximum and minimum air temperature, as well as by incident solar radiation. The canonical interrelationships and the predictive models developed for the morphological, bromatological and grain yield attributes are specifically dependent on cut management in dual purpose wheat.
Key words: Inter-relations, Triticum aestivum, Univariate and multivariate regression.