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Accurate model of structural elements is necessary to model the foliage and fruit distributions in cultivated plants, both of them being key parameters for yield prediction. However, the level of details in architectural data collection could vary, simplifying the data collection when plants get older and because of the high time cost required. In the present study, we aimed at reconstructing and analyzing plant structure, berry distributions and yield in Coffea arabica (Arabica coffee), by using both detailed or partial morphological information and probabilistic functions. Different datasets of coffee plant architectures were available with different levels of detail depending on the tree age. Three scales of decomposition-plant, axes and metamers were used reconstruct the plant architectures. CoffePlant3D, a software which integrates a series of mathematical, computational and statistical methods organized in three newly developed modules, AmostraCafe3D, VirtualCafe3D and Cafe3D, was developed to accurately reconstruct coffee plants in 3D, whatever the level of details available. The number of metamers of the 2nd order axes was shown to be linearly proportional to that of the orthotropic trunk, and the number of berries per metamer was modeled as a Gaussian function within a specific zone along the plagiotropic axes. This ratio of metamer emission rhythm between the orthotropic trunk and plagiotropic axes represents the pillar of botanical events in the C. arabica development and was central in our modeling approach, especially to reconstruct missing data. The methodology proposed for reconstructing coffee plants under the CoffePlant3D was satisfactorily validated across dataset available and could be performed for any other Arabica coffee variety.

Background: Malnutrition in infants during weaning has been attributed to inappropriate complementary feeding practices and it underlies more than one-third of child mortality in Nigeria. Thus, addressing the influence of complementary feeding practice on nutritional status may be an important approach to reducing the burden of child malnutrition. This cross-sectional study investigated the association between complementary feeding practices among mothers and nutritional status of their infants in Akpabuyo Local Government Area, Nigeria. The study enrolled 330 mother-child pairs from 10 randomly selected out of 32 Health Facilities in Akpabuyo. Socio-demographic information, child and maternal characteristics were obtained using an interviewer-administered questionnaire. Complementary feeding practices were assessed with World Health Organization infant and young child feeding indicators. Nutritional indicators wasting, underweight and stunting were determined.

Results: Prevalence of timely introduction of complementary feeding among infants aged 6-8 months was 85.4%, minimum dietary diversity rate was 31.5%, and minimum meal frequency 36.7%, the rate of minimum acceptable diet was 7.3%. One-third (33.3%) of the infants were underweight, 26.4%, wasted and 24.6%, stunted. Children who did not receive timely complementary foods had higher odds for wasting (OR 5.15; 95% CI 1.50-17.73). Children who did not receive the minimum dietary diversity had higher odds for underweight than children who received the minimum dietary diversity (OR 2.07; 95% CI 1.17-3.70). Children who did not receive the minimum feeding frequency were more likely to be stunted than their peers who received the minimum feeding frequency (OR 1.57; 95% CI 1.53-4.03).

Conclusion: Sub-optimal complementary feeding predisposed to infant's malnutrition.