Abstract
ABSTRACT This study aimed to adjust the Gompertz and Logistic nonlinear models for the fresh and dry matter of aerial part and indicate the model that best describes the growth of two rye cultivars in five sowing seasons, as well as to characterize the growth of the cultivars regarding the fresh and dry matter of aerial part. Ten uniformity trials were conducted with the rye crop in 2016. A weekly sampling and evaluation of 10 plants per trial was performed from the time the plants presented one expanded leaf. For each plant, the fresh and dry matter of aerial part were weighed. The Gompertz and Logistic models were adjusted to the accumulated thermal time based on the measures of each trait in each assessment. Also the parameters a, b, and c for each model were estimated and calculated the interval of confidence for each parameter, as well as the inflection points, maximum acceleration, maximum deceleration and asymptotic deceleration. The quality of the model adjustments was verified using the coefficient of determination, Akaike information criterion, and residual standard deviation. The intrinsic nonlinearity and nonlinearity of the parameter effect was quantified. Both models satisfactorily describe the behavior of the fresh and dry matter of aerial part. The Logistic model best describes the growth of rye cultivars. The growth of the cultivars BRS Progresso and Temprano is distinct between sowing seasons. Cultivar BRS Progresso requires a lower thermal time until reaching 50% of its growth when compared to the Temprano cultivar.
Highlights
IntroductionIt is essential to define cultivars and sowing seasons that provide adequate plant growth and development to maximize productivity gains
Rye (Secale cereale L.) is a cereal grown in cold climate regions
The normality, independence and homogeneity assumptions of the residues were met regarding the fresh and dry matter of aerial part, in the Gompertz and Logistic models using the BRS Progresso and Temprano cultivars, in five sowing seasons (Table 2) as occurred in Fernandes et al (2014), in which the assumptions were met for the accumulation of fresh matter of coffee fruits
Summary
It is essential to define cultivars and sowing seasons that provide adequate plant growth and development to maximize productivity gains. Cultivars tend to behave differently when crops are sown at different sowing seasons given that the cultivar is exposed to different environmental conditions. In this sense, more accurate information can be gained by studying the behavior of crops through growth models for each sowing condition since the behavior of different cultivars and traits can be better analyzed. The models assist in crop management under different environmental conditions, as well as in assessing the contribution of the parts of the plant to their final growth (Dourado Neto et al, 1998)
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