Evaluation of germination and vigor in corn seeds using the Hill function

Autores

  • D. J. Amorim Universidade Estadual Paulista- Campus Botucatu
  • R. Q. Faria Instituto Federal Goiano - Campus Urutai
  • A. R. P. Santos Universidade Estadual Paulista- Campus Botucatu
  • E. A. A. Silva Universidade Estadual Paulista- Campus Botucatu
  • M. M. P. Sartori Universidade Estadual Paulista- Campus Botucatu

DOI:

https://doi.org/10.36560/1232019752

Palavras-chave:

Germination, Physiological potential, Nonlinear regression, Likelihood.

Resumo

The seeds are complex biological structures that result from the struggle for the survival of the plants, constituting the most important agricultural input. Germination is one of the first events that occurs in the occupation of a new habitat, pertinent to the distribution in time/space at different rates. And one of the ways to understand this process with greater detail, is through regression studies as a function of time, for this we can apply non-linear regressions. Thus, the objective of this work was to verify the adjustment of h nonlinear equations to test the following hypotheses in form general, seeking to determine the lot of higher physiological quality: (a) H0: the h equations are identical, that is, we can use a common equation as an estimate of the equations h involved; and (b) H0: a given number of parameters is equal in the h groups. Germination data were obtained from two corn lots that were modeled by the four parameter Hill function. The best fit hypothesis (square root of the maximum likelihood estimate of the residual variance) was chosen to represent the germination of the corn lots. It is concluded that the use of non-linear regressions through the test of equality of parameters and identity of models can be used in the comparison of germination of different seed lots.

Referências

ALVARENGA, R.O., MARCOS FILHO, J., GOMES JUNIOR, F.G. Avaliação do vigor de sementes de milho superdoce por meio da análise computadorizada de imagens de plântulas. Revista Brasileira de Sementes 34: 488 - 494, 2012.

BRASIL. Ministério da Agricultura, Pecuária e Abastecimento. Regras para análise de sementes. Brasília : Mapa/ACS, 399 p. 2009.

EL-KASSABY, Y. A., MOSS, I., KOLOTELO, D., STOEHR, M. Seed germination: Mathematical representation and parameters extraction. Forest Science 54: 220–227, 2008.

GAZOLA, S., SCAPIM, C. A., BRACCINI, A. L., AMARAL JÚNIOR, A. T., VIVAS, M. Modelos não lineares na análise de curvas de percentuais germinativos de sementes de Zea mays. Revista Brasileira de Milho e Sorgo 16: 142-152, 2017.

JOOSEN, R. V. L., KODDE, J., WILLEMS, L. A. J., LIGTERINK, W., VAN DER PLAS, L. H. W., HILHORST, H. W. M. Germinator: A software package for high-throughput scoring and curve fitting of Arabidopsis seed germination. Plant Journal 62: 148–159, 2010.

MARCOS FILHO, J. Fisiologia de sementes de plantas cultivadas. 2 ed. Londrina: ABRATES, 659 p. 2015.

MATTHEWS, S., NOLI, E., DEMIR, I., KHAJEH-HOSSEINI, M. M.-H. Wagner Evaluation of seed quality: from physiology to international standardization. Seed Science Research 22: S69-S73, 2012.

NERLING, D., COELHO, C. M. M., BRUMMER, A. Biochemical profiling and its role in physiological quality of maize seeds. Journal of Seed Science 40: 7-15, 2018.

ONWIMOL, D., CHANPRAME, S., THONGKET, T. Arrest of cell cycle associated with delayed radicle emergence in deteriorated cucumber. Seed Science Technology 40: 238 – 247, 2012.

PIMENTEL GOMES, F. Curso de estatística experimental. 15 ed. Piracicaba: FEALQ, 451 p. 2009.

RAJJOU, L., DUVAL, M., GALLARDO, K., CATUSSE, J., JOB, C., JOB, D. Seed Germination and Vigor.Annual Review of Plant Biology 63: 507-533, 2012.

RATKOWSKY, D. A. Handbook of nonlinear regression models. New York : Marcel Dekker, 241 p. 1990.

REGAZZI, A. J. Teste para verificar a igualdade de parâmetros e a identidade de modelos de regressão não-linear. Revista Ceres 50: 9-26, 2003.

SAS INSTITUTE. Base SAS 9.4 Procedures Guide: Statistical Procedures. SAS Institute, 2017.

VENTURA, D.M., MACOVEI, A., CARBONERA, D., BUTTAFAVA, A., MONDONI, A., ROSSI, G., BALESTRAZZI, A. Understanding the molecular pathways associated with seed vigor. Plant Physiology and Biochemistry 60: 196-206, 2012.

Downloads

Publicado

2019-06-01

Como Citar

Amorim, D. J., Faria, R. Q., Santos, A. R. P., Silva, E. A. A., & Sartori, M. M. P. (2019). Evaluation of germination and vigor in corn seeds using the Hill function. Scientific Electronic Archives, 12(3), 47–52. https://doi.org/10.36560/1232019752

Edição

Seção

Ciências Agrárias