Artículo
CRONOSOJA: a daily time-step hierarchical model predicting soybean development across maturity groups in the Southern Cone
Severini, Alan David; Alvarez Prado, Santiago
; Otegui, Maria Elena
; Kavanová, Monika; Vega, Claudia Rosa Cecilia
; Zuil, Sebastian; Ceretta, Sergio; Acreche, Martin Moises
; Amarilla, Fidencia; Cicchino, Mariano Andrés; Fernández Long, María Elena; Crespo, Aníbal; Serrago, Roman Augusto
; Miralles, Daniel Julio
Fecha de publicación:
01/2024
Editorial:
Oxford University Press
Revista:
in silico Plants
ISSN:
2517-5025
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Accurate prediction of phenology is the most critical aspect for the development of models aimed at estimating seed yield, particularly in species that exhibit variable sensitivity to environmental factors throughout the cycle and among genotypes. With this purpose, we evaluated the phenology of 34 soybean varieties in feld experiments located in Argentina, Uruguay and Paraguay. Experiments covered a broad range of maturity group (MG)s (2.2–6.8), sowing dates (SDs) (from spring to summer) and latitude range (24.9–35.6 °S), thus ensuring a wide range of thermo-photoperiodic conditions during the growing season. Based on the observed data, daily time-step models were developed and tested, frst for each genotype, and then across MGs. We identifed base temperatures specifc for diferent developmental phases and an extra parameter for calculating the photoperiod efect afer the R1 stage (fowering). Also, an optimum photoperiod length for each MG was found. Model selection showed that the determinants of phenology across MGs were mainly afecting the duration of vegetative and early reproductive phases. Even so, early phases of development were beter predicted than later ones, particularly in locations with cool growing seasons, where the model tended to overestimate their duration. In summary, we have constructed a soybean phenology model that simulates phenology accurately across various geographic locations and sowing dates. The model’s process-based approach has resulted in root mean square errors ranging from 5.8 to 9.5 days for diferent developmental stages.
Palabras clave:
Bayesian
,
Decision-making
,
Dynamic model
,
Model development
,
Phenology
,
Soybean
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Articulos(CCT - SALTA-JUJUY)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SALTA-JUJUY
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - SALTA-JUJUY
Citación
Severini, Alan David; Alvarez Prado, Santiago; Otegui, Maria Elena; Kavanová, Monika; Vega, Claudia Rosa Cecilia; et al.; CRONOSOJA: a daily time-step hierarchical model predicting soybean development across maturity groups in the Southern Cone; Oxford University Press; in silico Plants; 6; 1; 1-2024; 1-19
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