Growth Dynamic of Sugarcane Cultivars C97-366 and C99-374 for Forage Production
Context: Plant growth analysis is a valuable tool to detect biomass formation and accumulation. The determination of growth indexes enables plants to adapt to different edaphoclimatic conditions, and to select the most promising responses among them. Aim: To characterize the growth dynamic of sug...
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Format: | Article |
Language: | English |
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Universidad de Camagüey Ignacio Agramonte Loynaz
2021-12-01
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Series: | Agrisost |
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Online Access: | https://revistas.reduc.edu.cu/index.php/agrisost/article/view/e3918 |
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author | Yoslen Fernández Gálvez Yaima de las Mercedes Daniel Ortega Redimio Manuel Pedraza Olivera Yoslen Fernández Caraballo Modesto Salvador Ponce Hernández Arelys Valido Tomes |
author_facet | Yoslen Fernández Gálvez Yaima de las Mercedes Daniel Ortega Redimio Manuel Pedraza Olivera Yoslen Fernández Caraballo Modesto Salvador Ponce Hernández Arelys Valido Tomes |
author_sort | Yoslen Fernández Gálvez |
collection | DOAJ |
description | Context: Plant growth analysis is a valuable tool to detect biomass formation and accumulation. The determination of growth indexes enables plants to adapt to different edaphoclimatic conditions, and to select the most promising responses among them.
Aim: To characterize the growth dynamic of sugarcane cultivars C97-366 and C99-374, with forage purposes.
Methods: A randomized experimental block design with three replicas was used. The following growth indicators were evaluated: foliage surface, foliage surface index, crop growth rate, and net monthly assimilation rate, at 181 days (February) and 342 days (July), after planting. Correlation analyses were made to determine the best model fit for every indicator evaluated in the two cultivars, as well as the analysis of variance of regressions.
Results: Cultivar C97-366 was fit to a linear model for the foliage surface index, crop growth rate, and net assimilation rate; the foliage surface was fit to a polynomial model. Cultivar C99-374 was fit to a polynomial model for the foliage surface index, crop growth rate, and net assimilation rate; the foliage surface index was fit to a linear model. |
first_indexed | 2024-04-12T16:18:09Z |
format | Article |
id | doaj.art-60473773065a4fff92b2799e5b4d6326 |
institution | Directory Open Access Journal |
issn | 1025-0247 |
language | English |
last_indexed | 2024-04-12T16:18:09Z |
publishDate | 2021-12-01 |
publisher | Universidad de Camagüey Ignacio Agramonte Loynaz |
record_format | Article |
series | Agrisost |
spelling | doaj.art-60473773065a4fff92b2799e5b4d63262022-12-22T03:25:38ZengUniversidad de Camagüey Ignacio Agramonte LoynazAgrisost1025-02472021-12-0127317Growth Dynamic of Sugarcane Cultivars C97-366 and C99-374 for Forage Production Yoslen Fernández Gálvez0https://orcid.org/0000-0002-7824-9215Yaima de las Mercedes Daniel Ortega1https://orcid.org/0000-0002-0187-870XRedimio Manuel Pedraza Olivera2https://orcid.org/0000-0002-9483-4326Yoslen Fernández Caraballo3https://orcid.org/0000-0002-1656-8034Modesto Salvador Ponce Hernández4https://orcid.org/0000-0002-4712-9982Arelys Valido Tomes5https://orcid.org/0000-0003-1959-9554Territorial Sugarcane Research Station (ETICA) Mid-East, Camagüey, Department of Research and Technological Innovation, Florida, Camagüey Province, Cuba.University of Camagüey, Department of Agronomy, Cuba.University of Camagüey, Center for Animal Production Studies (CEDEPA), Cuba.Territorial Sugarcane Research Station (ETICA) Mid-East, Camagüey, Department of Research and Technological Innovation, Florida, Camagüey Province, Cuba.University of Camaguey, Department of Agronomy, Cuba.University of Camagüey, Department of Agronomy, Cuba.Context: Plant growth analysis is a valuable tool to detect biomass formation and accumulation. The determination of growth indexes enables plants to adapt to different edaphoclimatic conditions, and to select the most promising responses among them. Aim: To characterize the growth dynamic of sugarcane cultivars C97-366 and C99-374, with forage purposes. Methods: A randomized experimental block design with three replicas was used. The following growth indicators were evaluated: foliage surface, foliage surface index, crop growth rate, and net monthly assimilation rate, at 181 days (February) and 342 days (July), after planting. Correlation analyses were made to determine the best model fit for every indicator evaluated in the two cultivars, as well as the analysis of variance of regressions. Results: Cultivar C97-366 was fit to a linear model for the foliage surface index, crop growth rate, and net assimilation rate; the foliage surface was fit to a polynomial model. Cultivar C99-374 was fit to a polynomial model for the foliage surface index, crop growth rate, and net assimilation rate; the foliage surface index was fit to a linear model.https://revistas.reduc.edu.cu/index.php/agrisost/article/view/e3918foliage surfacefoliage surface indexnet assimilation ratecrop growth rate |
spellingShingle | Yoslen Fernández Gálvez Yaima de las Mercedes Daniel Ortega Redimio Manuel Pedraza Olivera Yoslen Fernández Caraballo Modesto Salvador Ponce Hernández Arelys Valido Tomes Growth Dynamic of Sugarcane Cultivars C97-366 and C99-374 for Forage Production Agrisost foliage surface foliage surface index net assimilation rate crop growth rate |
title | Growth Dynamic of Sugarcane Cultivars C97-366 and C99-374 for Forage Production |
title_full | Growth Dynamic of Sugarcane Cultivars C97-366 and C99-374 for Forage Production |
title_fullStr | Growth Dynamic of Sugarcane Cultivars C97-366 and C99-374 for Forage Production |
title_full_unstemmed | Growth Dynamic of Sugarcane Cultivars C97-366 and C99-374 for Forage Production |
title_short | Growth Dynamic of Sugarcane Cultivars C97-366 and C99-374 for Forage Production |
title_sort | growth dynamic of sugarcane cultivars c97 366 and c99 374 for forage production |
topic | foliage surface foliage surface index net assimilation rate crop growth rate |
url | https://revistas.reduc.edu.cu/index.php/agrisost/article/view/e3918 |
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