scholarly journals BAYESIAN INFERENCE AND PREDICTION APPLIED TO THE POSITIONING OF WHEAT YIELD GROWN IN SOUTHERN BRAZIL

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Ricardo de Oliveira Schneider ◽  
Ivan Ricardo Carvalho ◽  
Vinícius Jardel Szareski ◽  
Kassiana Kehl ◽  
Alexandre Moscarelli Levien ◽  
...  
Author(s):  
Ana P. B. Trautmann ◽  
José A. G. da Silva ◽  
Manuel O. Binelo ◽  
Antonio C. Valdiero ◽  
Luana Henrichsen ◽  
...  

ABSTRACT Fuzzy logic can simulate wheat productivity by assisting crop predictability. The objective of the study is the use of fuzzy logic to simulate wheat yield in the conditions of nitrogen use, together with the effects of air temperature and rainfall, in the main cereal succession systems in Southern Brazil. The study was conducted in the years 2014, 2015 and 2016, in Augusto Pestana, RS, Brazil. The experimental design was a randomized block design with four repetitions in a 4 x 3 factorial scheme for N-fertilizer doses (0, 30, 60, 120 kg ha-1) and nutrient supply forms [100% in phenological stage V3 (third expanded leaf); (70%/30%) in the phenological stage V3/V6 (third and sixth expanded leaf) and; fractionated (70%/30%) at the phenological stage V3/E (third expanded leaf and beginning of grain filling)], respectively, in the soybean/wheat and corn/wheat systems. The pertinence functions and the linguistic values established for the input and output variables are adequate for the use of fuzzy logic. Fuzzy logic simulates wheat grain yield efficiently in the conditions of nitrogen use with air temperature and rainfall in crop systems.


Soil Research ◽  
2021 ◽  
Author(s):  
Sérgio Ricardo Silva ◽  
Henrique Pereira dos Santos ◽  
Rômulo Pisa Lollato ◽  
Anderson Santi ◽  
Renato Serena Fontaneli

2015 ◽  
Vol 16 (4) ◽  
pp. 474-480 ◽  
Author(s):  
Tiago Bresolin ◽  
Dionéia Magda Everling ◽  
Camila Urbano Braz ◽  
Fernanda Cristina Breda ◽  
Paulo Roberto Nogara Rorato

Abstract The objective of this study was to estimate the heritability, genetic correlation and estimated breeding values for age at first (AFC) and second calving (ASC) for Nellore females raised in Southern Brazil. The (co)variance and estimated breeding values were obtained using Bayesian inference in a bivariate analysis, adopting an animal model. The average ages were 49.30 and 69.85 months, and the heritabilities were 0.25 and 0.26, respectively for AFC and ASC. The genetic correlation between AFC and ASC was 0.88. The correlation between the classifications of sires according to their estimated breeding values was 0.93. The heritability estimates for AFC and ASC suggest the possibility of obtaining genetic gain by selection. The correlation between these traits close to one indicates that they are virtually controlled by the same genes, and the selection for one of them will promote correlated advanced gain for the other.


Author(s):  
Marcos Renan Besen ◽  
Carolina Fedrigo Coneglian ◽  
Bruno Maia Abdo Rahmen Cassim ◽  
Wagner Deckij Kachinski ◽  
Tadeu Takeyoshi Inoue ◽  
...  

Author(s):  
Carlos Zubaran ◽  
Katia Foresti ◽  
Marina Verdi Schumacher ◽  
Aline Luz Amoretti ◽  
Lucia Cristina Muller ◽  
...  

2005 ◽  
Vol 34 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Zs. Szentpétery ◽  
Cs. Kleinheincz ◽  
G. Szöllősi ◽  
M. Jolánkai

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