Yield Prediction Models for ‘Royal Gala’ and ‘Fuji Suprema’ Apple Varieties Cultivated under a Subtropical Climate

Author:

Hahn Leandro1ORCID,Basso Clori2,Moura-Bueno Jean M.3ORCID,Argenta Luiz Carlos1,Toselli Moreno4ORCID,Carranca Corina5ORCID,Rech Matheus6,Hahn Ivanete Schneider6ORCID,Brunetto Gustavo3ORCID

Affiliation:

1. Caçador Experimental Station, Agricultural Research and Rural Extension Agency of Santa Catarina (Epagri), Caçador 89501-032, Brazil

2. Agricultural Research and Rural Extension Agency of Santa Catarina (Epagri), Caçador 89501-032, Brazil

3. Soil Science Department of Federal University of Santa Maria (UFSM), Santa Maria 97105-900, Brazil

4. Department of Horticulture and Forestry, University of Bologna, 40126 Bologna, Italy

5. Instituto Nacional de Investigação Agrária e Veterinária, 2780-157 Lisboa, Portugal

6. Innovation and Technology Hub, University of Alto Vale do Rio do Peixe (Uniarp), Caçador 89500-000, Brazil

Abstract

Nitrogen (N) effect on crop yield depends on several factors such as soil type, climatic characteristics and orchard management, including plant density and N fertilization. These variables can be used to develop yield prediction models, which are scarce in the horticulture sector. This study aimed to evaluate the effect of nitrogen fertilization, orchards and cultivars and to predict the yields of ‘Royal Gala’ and ‘Fuji Suprema’ apples cultivated in a subtropical climate under different soil N availabilities. During the four seasons, nitrogen fertilization was applied a rates of 0, 25, 50, 100 and 150 kg N ha−1 year−1 for ‘Royal Gala’ and ‘Fuji Suprema’ apples located in southern Brazil. Yield, average fruit weight and leaf and fruit pulp N concentration were evaluated. Yield prediction models were developed based on the following variables: concentration of N in leaves and fruits, air temperature, chilling units, relative humidity and rainfall. “Cultivar” was the variable responsible for the greatest variation of yield, followed by “years/season”, and then the “orchard management. The N rates applied in the four seasons did not predict crop yield. In the model, “orchard” was the greatest determinant for leaf N concentration, and “season” was the main determinant for fruit-pulp N concentration. Mathematical model (3), based on leaf and fruit pulp N concentration, and certain climatic variables (minimum air temperature, annual rainfall and chilling hours < 7.2 °C) had the greatest potential for predicting yield in orchards of ‘Royal Gala’ and ‘Fuji Suprema’.

Funder

Associação Brasileira de Produtores de Maçã—ABPM

Publisher

MDPI AG

Subject

Agronomy and Crop Science

Reference51 articles.

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2. Carranca, C. (2000). Principais Processos do Ciclo do Azoto numa Agricultura Sustentável. Avaliação Através do Marcador 15N, INIA/Fundo Social Europeu de Orientação e Garantia Agrícola, EAN.

3. Ammonia in the atmosphere: A review on emission sources, atmospheric chemistry and deposition on terrestrial bodies;Behera;Environ. Sci. Pollut. Res.,2013

4. Estimating soil nitrate leaching of nitrogen fertilizer from global meta-analysis;Wang;Sci. Total Environ.,2019

5. Time of nitrogen application and its influence on ‘golden delicious’ apple yield and fruit quality;Drake;J. Plant Nutr.,2002

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