Using an algorithm to fit a gamlss model on dry matter data from brachiaria brizantha | [Pakistan Journal of Biological Sciences • 2021]

Author(s):

1. Danny Villegas Rivas: Faculty of Forestry and Environmental Engineering, Universidad Nacional de Jaén, Cajamarca, Peru

2. Nora Valbuena Torres: Agricultural and Marine Sciences Program, Universidad Nacional Experimental de los Llanos Occidentales Ezequiel Zamora,Guanare, Venezuela

3. Manuel Milla Pino: Faculty of Civil Engineering, Universidad Nacional de Jaén, Cajamarca, Peru

4. Martín Grados Vásquez: Agricultural and Marine Sciences Program, Universidad Nacional Experimental de los Llanos Occidentales Ezequiel Zamora,Guanare, Venezuela

5. Ydalia Velásquez Casana: Graduate School, Universidad Nacional de Trujillo, Peru

6. Erick Delgado Bazan: Faculty of Civil Engineering, Universidad Nacional de Jaén, Cajamarca, Peru

7. César Osorio Carrera,: Graduate School, Universidad César Vallejo, Peru

8. Ricardo Shimabuku Ysa,: Faculty of Mechanical and Electrical Engineering, Universidad Nacional de Jaén, Cajamarca, Peru

9. River Chávez Santos: Faculty of Economic and Administrative Sciences, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Peru

10. Luis Ramírez Calderón: Graduate School, Universidad César Vallejo, Peru

11. Clelia Jima Chamiquit: Faculty of Health Sciences, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Peru

Abstract:

Background and Objective: Forage production in the tropics is generally asymmetrically distributed. Hence the need to use more complex models, especially when multiple comparisons are made and there are very large deviations from normality. The objective of this research is to fit a Generalized Additive Model for Location, Scale and Shape (GAMLSS) model on accumulated dry matter data from Brachiaria brizantha using a model selection algorithm. Materials and Methods: A Box-Cox Power Exponential (BCPE) distribution was adjusted on the dry matter from Brachiaria brizantha data implementing GAMLSS in R (programming language). The accumulated dry matter data for B. brizantha were obtained from a study carried out on a farm in the state of Portuguesa, Venezuela. The explanatory covariate x was the interval between cuts (21, 28, 35 and 42 days). Results: The dependent variable (dry matter) exhibited both skewness and kurtosis. GAMLSS allowed flexible modeling of both the distribution of the dry matter yield from B. brizantha and the dependence of all the parameters of the distribution on intervals between cuttings. For the dry matter yield from B. brizantha, which exhibited skewness and leptokurtosis, the BCPE distribution, provided the best fit. Conclusion: The interval between cuttings showed an effect that is reflected in the average yield of dry matter from B. brizantha. The interval between cuts affected the skewness and the kurtosis of the distribution

Page(s): 468-476

DOI: 10.3923/pjbs.2021.468.476

Published: Journal: Pakistan Journal of Biological Sciences, Volume: 24, Issue: 4, Year: 2021

Keywords:

yield , power , exponential , Kurtosis , BoxCox , Pastures , Skewness

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