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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Main Authors: Yoslen Fernández Gálvez, Yaima de las Mercedes Daniel Ortega, Redimio Manuel Pedraza Olivera, Yoslen Fernández Caraballo, Modesto Salvador Ponce Hernández, Arelys Valido Tomes
Format: Article
Language:English
Published: Universidad de Camagüey Ignacio Agramonte Loynaz 2021-12-01
Series:Agrisost
Subjects:
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.
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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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