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| Format: | Artículo científico |
| Language: | en |
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Universidade Estadual de Maringá
2021
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| Online Access: | https://www.redalyc.org/articulo.oa?id=303067924021 https://www.redalyc.org/journal/3030/303067924021/ https://www.redalyc.org/journal/3030/303067924021/html/ https://www.redalyc.org/journal/3030/303067924021/303067924021.epub https://www.redalyc.org/journal/3030/303067924021/movil |
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| _version_ | 1866814761102999552 |
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| author | Maria Inês Diel |
| author_facet | Maria Inês Diel |
| contents | Behavior of strawberry production with growth models: a multivariate approach Maria Inês Diel Alessandro Dal'Col Lúcio Bruno Giacomini Sari Tiago Olivoto Marcos Vinícius Marques Pinheiro Dionatan Ketzer Krysczum Patrícia Jesus de Melo Denise Schmidt Agrociencias substrates fruits mass logistic model Fragaria x ananassa principal components Strawberry is an economically and socially important crop in several regions worldwide. Thus, studies that provide information on topics in strawberry growth are important and must be constantly updated. The aims of this study were to fit a logistic growth model to describe strawberry fruit production and to estimate the partial derivatives of the fitted model in order to estimate and interpret the critical points, in addition to using multivariate analyses. To do this, data on 16 treatments combinations of two cultivars (Albion and Camarosa), two origins (national and imported), and four mixed organic substrates (70% crushed sugar cane residue + 30% organic compost, 70% crushed sugar cane residue + 30% commercial substrate, 70% burnt rice husk + 30% organic compost, and 70% burnt rice husk + 30% commercial substrate) conducted in a randomized complete block design (RCBD) with four replicates were used. A logistic model was fitted to the accumulated fruit production stratified by treatment and replication. Partial derivatives related to the accumulated thermal sum were estimated in order to quantify the critical points of the model. Subsequently, a principal component analysis was performed. The results show that the use of growth models substantially increases the inferences that can be made about crop growth, and the multivariate analysis summarizes this information, simplifying its interpretation. Approaches such as those carried out in this study are still rarely used, but, compared to simpler models, they increase the amount of inferences that can be made and provide greater elucidation of the results. 2021 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303067924021 https://www.redalyc.org/journal/3030/303067924021/ https://www.redalyc.org/journal/3030/303067924021/html/ https://www.redalyc.org/journal/3030/303067924021/303067924021.epub https://www.redalyc.org/journal/3030/303067924021/movil 10.4025/actasciagron.v43i1.47812 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Vol.43 |
| format | Artículo científico |
| id | redalyc_303067924021 |
| language | en |
| publishDate | 2021 |
| publisher | Universidade Estadual de Maringá |
| spellingShingle | Behavior of strawberry production with growth models: a multivariate approach Maria Inês Diel Agrociencias substrates fruits mass logistic model Fragaria x ananassa principal components Behavior of strawberry production with growth models: a multivariate approach Maria Inês Diel Alessandro Dal'Col Lúcio Bruno Giacomini Sari Tiago Olivoto Marcos Vinícius Marques Pinheiro Dionatan Ketzer Krysczum Patrícia Jesus de Melo Denise Schmidt Agrociencias substrates fruits mass logistic model Fragaria x ananassa principal components Strawberry is an economically and socially important crop in several regions worldwide. Thus, studies that provide information on topics in strawberry growth are important and must be constantly updated. The aims of this study were to fit a logistic growth model to describe strawberry fruit production and to estimate the partial derivatives of the fitted model in order to estimate and interpret the critical points, in addition to using multivariate analyses. To do this, data on 16 treatments combinations of two cultivars (Albion and Camarosa), two origins (national and imported), and four mixed organic substrates (70% crushed sugar cane residue + 30% organic compost, 70% crushed sugar cane residue + 30% commercial substrate, 70% burnt rice husk + 30% organic compost, and 70% burnt rice husk + 30% commercial substrate) conducted in a randomized complete block design (RCBD) with four replicates were used. A logistic model was fitted to the accumulated fruit production stratified by treatment and replication. Partial derivatives related to the accumulated thermal sum were estimated in order to quantify the critical points of the model. Subsequently, a principal component analysis was performed. The results show that the use of growth models substantially increases the inferences that can be made about crop growth, and the multivariate analysis summarizes this information, simplifying its interpretation. Approaches such as those carried out in this study are still rarely used, but, compared to simpler models, they increase the amount of inferences that can be made and provide greater elucidation of the results. 2021 artículo científico 1679-9275 https://www.redalyc.org/articulo.oa?id=303067924021 https://www.redalyc.org/journal/3030/303067924021/ https://www.redalyc.org/journal/3030/303067924021/html/ https://www.redalyc.org/journal/3030/303067924021/303067924021.epub https://www.redalyc.org/journal/3030/303067924021/movil 10.4025/actasciagron.v43i1.47812 en http://www.redalyc.org/revista.oa?id=3030 Acta Scientiarum. Agronomy application/pdf Universidade Estadual de Maringá Acta Scientiarum. Agronomy (Brasil) Vol.43 |
| title | Behavior of strawberry production with growth models: a multivariate approach |
| topic | Agrociencias substrates fruits mass logistic model Fragaria x ananassa principal components |
| url | https://www.redalyc.org/articulo.oa?id=303067924021 https://www.redalyc.org/journal/3030/303067924021/ https://www.redalyc.org/journal/3030/303067924021/html/ https://www.redalyc.org/journal/3030/303067924021/303067924021.epub https://www.redalyc.org/journal/3030/303067924021/movil |