Nutrient Recommendation Model for Carrot Crop – Ferticalc Carrot

Abstract

the literature on fertilization for carrot growing usually recommends nutrient application rates for yield expectations lower than the yields currently obtained. moreover, the recommendation only considers the results of soil chemical analysis and does not include effects such as crop residues or variations in yield levels. the aim of this study was to propose a fertilizer recommendation system for carrot cultivation (ferticalc carrot) which includes consideration of the nutrient supply by crop residues, variation in intended yield, soil chemical properties, and the growing season (winter or summer). to obtain the data necessary for modeling nutritional requirements, 210 carrot production stands were sampled in the region of alto paranaíba, State of minas Gerais, Brazil. the dry matter content of the roots, the coefficient of biological utilization of nutrients in the roots, and the nutrient harvest index for summer and winter crops were determined for these samples. to model the nutrient supply by the soil, the literature was surveyed in regard to this theme. a modeling system was developed for recommendation of macronutrients and B. for cationic micronutrients, the system only reports crop nutrient export and extraction. the ferticalc which was developed proved to be efficient for fertilizer recommendation for carrot cultivation. Advantages in relation to official fertilizer recommendation tables are continuous variation of nutrient application rates in accordance with soil properties and in accordance with data regarding the extraction efficiency of modern, higher yielding cultivars.

Modeling in the Adjustment of Fertilization Recommendation through Leaf Analysis in Fertigated ‘Prata’ Banana

“…To improve recommendation tables, researchers have developed nutritional balance models that estimate the nutrient application rate based on plant nutritional requirements, yield, and nutrient supply by the soil and other sources for eucalyptus (Barros et al, 1995), banana (Oliveira et al, 2005), soybean (Santos et al, 2008), pineapple (Silva et al, 2009), coconut (Rosa et al, 2011), ornamental plants (Alvarez V. et al, 2014), melon (Deus et al, 2015), and carrot (Dezordi et al, 2015). The advantages of nutritional balance models include the ease of incorporating new research results, which contributes to evolution and improvement of the recommendations.…”

Modeling the Recommendation of Nutrients for Cabbage (Brassica oleracea) Crop

“…To estimate the nutritional requirement, the REQ subsystem took into account the crop demand (calculated as a function of productivity) and RE of the nutrient applied. Export (EXP), extraction (EXT) and requirement (REQ) were estimated according to the following equations adapted from Dezordi et al (2015):…”

“…where, SUP X soil : supply of the nutrient X by soil (kg ha -1 ); X analysis : content of the nutrient X in chemical analysis (mg dm -3 ); PER: effective depth of the root system (cm); RE ext : recovery efficiency of the nutrient by extractor (mg dm -3 /mg dm -3 -Table 4). Dezordi et al (2015). P-rem = Remaining Phosphorus (mg L -1 ).…”

“…The nutrient content in crop residues at the time of crop implantation (C X ) was estimated by product between the amount of dry matter of crop residues in the area and the content of the nutrients in these residues. Marcelo et al (2012) cited by Dezordi et al (2015).…”

“…Currently, there are in Brazil nutritional balance systems for several crops, such as pineapple (Silva et al, 2009), soybean (Santos et al, 2008;Kurihara et al, 2013), carrot (Dezordi et al, 2015), melon (Deus et al, 2015), among others. These systems comprise mathematical models that allow estimating the nutrient requirements of the crop according to the expected productivity, as well nutrient supply from soil in response to the results of soil chemical analysis (available nutrients) and crop residues.…”