Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate

Bibliographic Details
Main Author: Trapp, Talita
Publication Date: 2025
Other Authors: Moura-Bueno, Jean Michel, Siqueira, Gustavo Nogara de, Hahn, Leandro, Rozane, Danilo Eduardo [UNESP], Lima Neto, Antonio João de, Natale, William, Loss, Arcângelo, Brunetto, Gustavo
Format: Article
Language: eng
Source: Repositório Institucional da UNESP
Download full: http://dx.doi.org/10.1016/j.eja.2025.127523
https://hdl.handle.net/11449/304791
Summary: Apple yield can be maximized through balanced nutritional management of orchards. This can be achieved by defining nutritional standards and nutrient reference values through multivariate database analysis. The objectives of the study were: i) to set and compare apple trees’ nutritional standards based on the Diagnosis and Recommendation Integrated System (DRIS) and on the Composition Nutritional Diagnosis (CND) and ii) to generate nutrients’ critical levels (CL) and sufficiency ranges (SR) in relation to the productivity of apple trees. The study was carried out in commercial Gala and Fuji cultivar orchards in Fraiburgo, Lebon Régis, Santa Cecília, and Monte Carlo municipalities - Santa Catarina State, Brazil. A database comprising information on fruit yield and leaf nutrient contents, from 10,179 observations performed from 2006 to 2021 was used in the study. According to the results, there is low association between mean nutrient balance index (NBIm) and nutritional imbalance index (CND-r²), and yield. DRIS and CND methods were effective in diagnosing apple trees’ nutritional status. Apple trees’ greatest nutritional requirements comprise the following macronutrients: nitrogen (N), potassium (K) and calcium (Ca), and the following micronutrients: manganese (Mn), iron (Fe) and zinc (Zn), all of them determined through the CND method. CL and SR established through the DRIS and CND methods were alike, but the best-adjusted SRs were found through CND: 22.1 – 26.4; 1.4 – 2.1; 11.5 – 15.8; 11.0 – 15.2; 2.9 – 4.0 g kg−1 and 70.2 – 116.7; 208.2 – 552.7; 5.8 – 8.6; 99.3 – 182.9; 31.4 – 41.9 mg kg−1 for N, P, K, Ca, Mg, Fe, Mn, Cu, Zn and B, respectively, for the cv. Gala; and 24.3 – 28.5; 1.6 – 2.2; 10.7 – 15.0; 12.0 – 16.01; 2.7 – 3.8 g kg−1 and 75.9 – 125.6; 107.3 – 364.1; 6.1 – 9.1; 43.4 – 124.4; 32.8 – 44.3 mg kg−1 for N, P, K, Ca, Mg, Fe, Mn, Cu, Zn and B, respectively, for the cv. Fuji. The use of the CL and SR standards established here will allow the rational use of fertilizers, but also the adequate nutritional balance of the orchards to achieve the greatest yield efficiency.
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spelling Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climateCNDDatabaseDRISFujiGalaMalus domesticaNutritional balanceApple yield can be maximized through balanced nutritional management of orchards. This can be achieved by defining nutritional standards and nutrient reference values through multivariate database analysis. The objectives of the study were: i) to set and compare apple trees’ nutritional standards based on the Diagnosis and Recommendation Integrated System (DRIS) and on the Composition Nutritional Diagnosis (CND) and ii) to generate nutrients’ critical levels (CL) and sufficiency ranges (SR) in relation to the productivity of apple trees. The study was carried out in commercial Gala and Fuji cultivar orchards in Fraiburgo, Lebon Régis, Santa Cecília, and Monte Carlo municipalities - Santa Catarina State, Brazil. A database comprising information on fruit yield and leaf nutrient contents, from 10,179 observations performed from 2006 to 2021 was used in the study. According to the results, there is low association between mean nutrient balance index (NBIm) and nutritional imbalance index (CND-r²), and yield. DRIS and CND methods were effective in diagnosing apple trees’ nutritional status. Apple trees’ greatest nutritional requirements comprise the following macronutrients: nitrogen (N), potassium (K) and calcium (Ca), and the following micronutrients: manganese (Mn), iron (Fe) and zinc (Zn), all of them determined through the CND method. CL and SR established through the DRIS and CND methods were alike, but the best-adjusted SRs were found through CND: 22.1 – 26.4; 1.4 – 2.1; 11.5 – 15.8; 11.0 – 15.2; 2.9 – 4.0 g kg−1 and 70.2 – 116.7; 208.2 – 552.7; 5.8 – 8.6; 99.3 – 182.9; 31.4 – 41.9 mg kg−1 for N, P, K, Ca, Mg, Fe, Mn, Cu, Zn and B, respectively, for the cv. Gala; and 24.3 – 28.5; 1.6 – 2.2; 10.7 – 15.0; 12.0 – 16.01; 2.7 – 3.8 g kg−1 and 75.9 – 125.6; 107.3 – 364.1; 6.1 – 9.1; 43.4 – 124.4; 32.8 – 44.3 mg kg−1 for N, P, K, Ca, Mg, Fe, Mn, Cu, Zn and B, respectively, for the cv. Fuji. The use of the CL and SR standards established here will allow the rational use of fertilizers, but also the adequate nutritional balance of the orchards to achieve the greatest yield efficiency.Rural Engineering Department Agrarian Sciences Center Federal University of Santa Catarina, Santa CatarinaSoil Science Department Federal University of Santa Maria, Rio Grande do SulAgricultural and Health Sciences Center University of Cruz Alta, Rio Grande do SulExperimental Station of Caçador Agricultural Research and Rural Extension Company of Santa Catarina, Santa CatarinaAgronomy and Natural Resource Department São Paulo State University “Júlio de Mesquita Filho”, São PauloPlant Science Department Federal University of Ceará, CearáAgronomy and Natural Resource Department São Paulo State University “Júlio de Mesquita Filho”, São PauloUniversidade Federal de Santa Catarina (UFSC)Federal University of Santa MariaUniversity of Cruz AltaAgricultural Research and Rural Extension Company of Santa CatarinaUniversidade Estadual Paulista (UNESP)Federal University of CearáTrapp, TalitaMoura-Bueno, Jean MichelSiqueira, Gustavo Nogara deHahn, LeandroRozane, Danilo Eduardo [UNESP]Lima Neto, Antonio João deNatale, WilliamLoss, ArcângeloBrunetto, Gustavo2025-04-29T20:00:49Z2025-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.eja.2025.127523European Journal of Agronomy, v. 164.1161-0301https://hdl.handle.net/11449/30479110.1016/j.eja.2025.1275232-s2.0-85216295265Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEuropean Journal of Agronomyinfo:eu-repo/semantics/openAccess2025-04-30T14:05:24Zoai:repositorio.unesp.br:11449/304791Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestrepositoriounesp@unesp.bropendoar:29462025-04-30T14:05:24Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate
title Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate
spellingShingle Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate
Trapp, Talita
CND
Database
DRIS
Fuji
Gala
Malus domestica
Nutritional balance
title_short Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate
title_full Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate
title_fullStr Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate
title_full_unstemmed Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate
title_sort Nutrients’ critical level propositions and sufficiency ranges aimed at high apple yield under subtropical climate
author Trapp, Talita
author_facet Trapp, Talita
Moura-Bueno, Jean Michel
Siqueira, Gustavo Nogara de
Hahn, Leandro
Rozane, Danilo Eduardo [UNESP]
Lima Neto, Antonio João de
Natale, William
Loss, Arcângelo
Brunetto, Gustavo
author_role author
author2 Moura-Bueno, Jean Michel
Siqueira, Gustavo Nogara de
Hahn, Leandro
Rozane, Danilo Eduardo [UNESP]
Lima Neto, Antonio João de
Natale, William
Loss, Arcângelo
Brunetto, Gustavo
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal de Santa Catarina (UFSC)
Federal University of Santa Maria
University of Cruz Alta
Agricultural Research and Rural Extension Company of Santa Catarina
Universidade Estadual Paulista (UNESP)
Federal University of Ceará
dc.contributor.author.fl_str_mv Trapp, Talita
Moura-Bueno, Jean Michel
Siqueira, Gustavo Nogara de
Hahn, Leandro
Rozane, Danilo Eduardo [UNESP]
Lima Neto, Antonio João de
Natale, William
Loss, Arcângelo
Brunetto, Gustavo
dc.subject.por.fl_str_mv CND
Database
DRIS
Fuji
Gala
Malus domestica
Nutritional balance
topic CND
Database
DRIS
Fuji
Gala
Malus domestica
Nutritional balance
description Apple yield can be maximized through balanced nutritional management of orchards. This can be achieved by defining nutritional standards and nutrient reference values through multivariate database analysis. The objectives of the study were: i) to set and compare apple trees’ nutritional standards based on the Diagnosis and Recommendation Integrated System (DRIS) and on the Composition Nutritional Diagnosis (CND) and ii) to generate nutrients’ critical levels (CL) and sufficiency ranges (SR) in relation to the productivity of apple trees. The study was carried out in commercial Gala and Fuji cultivar orchards in Fraiburgo, Lebon Régis, Santa Cecília, and Monte Carlo municipalities - Santa Catarina State, Brazil. A database comprising information on fruit yield and leaf nutrient contents, from 10,179 observations performed from 2006 to 2021 was used in the study. According to the results, there is low association between mean nutrient balance index (NBIm) and nutritional imbalance index (CND-r²), and yield. DRIS and CND methods were effective in diagnosing apple trees’ nutritional status. Apple trees’ greatest nutritional requirements comprise the following macronutrients: nitrogen (N), potassium (K) and calcium (Ca), and the following micronutrients: manganese (Mn), iron (Fe) and zinc (Zn), all of them determined through the CND method. CL and SR established through the DRIS and CND methods were alike, but the best-adjusted SRs were found through CND: 22.1 – 26.4; 1.4 – 2.1; 11.5 – 15.8; 11.0 – 15.2; 2.9 – 4.0 g kg−1 and 70.2 – 116.7; 208.2 – 552.7; 5.8 – 8.6; 99.3 – 182.9; 31.4 – 41.9 mg kg−1 for N, P, K, Ca, Mg, Fe, Mn, Cu, Zn and B, respectively, for the cv. Gala; and 24.3 – 28.5; 1.6 – 2.2; 10.7 – 15.0; 12.0 – 16.01; 2.7 – 3.8 g kg−1 and 75.9 – 125.6; 107.3 – 364.1; 6.1 – 9.1; 43.4 – 124.4; 32.8 – 44.3 mg kg−1 for N, P, K, Ca, Mg, Fe, Mn, Cu, Zn and B, respectively, for the cv. Fuji. The use of the CL and SR standards established here will allow the rational use of fertilizers, but also the adequate nutritional balance of the orchards to achieve the greatest yield efficiency.
publishDate 2025
dc.date.none.fl_str_mv 2025-04-29T20:00:49Z
2025-03-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.eja.2025.127523
European Journal of Agronomy, v. 164.
1161-0301
https://hdl.handle.net/11449/304791
10.1016/j.eja.2025.127523
2-s2.0-85216295265
url http://dx.doi.org/10.1016/j.eja.2025.127523
https://hdl.handle.net/11449/304791
identifier_str_mv European Journal of Agronomy, v. 164.
1161-0301
10.1016/j.eja.2025.127523
2-s2.0-85216295265
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv European Journal of Agronomy
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv repositoriounesp@unesp.br
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