Predicting ratoon rice growth rhythmbased on NDVI at key growth stages of main rice

The growth of ratoon rice (Oryza sativa L.) is affected by growth of main rice, so it could be evaluated by determining growing condition of main rice. Objective of the study was to find regression model for predicting ratoon rice growth rhythm through establishing the quantitative relationship betw...

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Autores principales:	Liu,Kai-lou, Li,Ya-zhen, Hu,Hui-wen
Lenguaje:	English
Publicado:	Instituto de Investigaciones Agropecuarias, INIA 2015
Materias:	Canopy NDVI exponential correlation ratoon rice regression equation
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392015000500005
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spelling	oai:scielo:S0718-583920150005000052018-10-01Predicting ratoon rice growth rhythmbased on NDVI at key growth stages of main riceLiu,Kai-louLi,Ya-zhenHu,Hui-wen Canopy NDVI exponential correlation ratoon rice regression equation The growth of ratoon rice (Oryza sativa L.) is affected by growth of main rice, so it could be evaluated by determining growing condition of main rice. Objective of the study was to find regression model for predicting ratoon rice growth rhythm through establishing the quantitative relationship between growth rhythm in ratoon rice and normalized difference vegetation index (NDVI) after heading of main rice. NDVI at key growth stages of main rice was measured using active spectrometry for 12 varieties in 2008 and for 23 varieties in 2009, and compared the physiological indexes of main and ratoon rice. There was an exponential correlation (P < 0.05) between the NDVI after heading of the main rice and biomass, N concentration of green leaves and stems or leaf area index (LAI) after heading of the ratoon rice for all the 12 varieties in 2008. The regression models from the rice variety experiment in 2008 were used to calculate predicted values with NDVI after heading of main rice in 2009. The results showed that the predicted values of biomass, N uptake, and LAI in ratoon rice were significantly different to measured values. However, there were exponential and significantly positive correlation (p < 0.05) between biomass and N uptake and LAI in ratoon rice and NDVI after heading of main rice in 2009. Therefore, it suggested that regression models were not perfect, and need to be improved adding more parameters about spectral characteristic of main and ratoon rice.info:eu-repo/semantics/openAccessInstituto de Investigaciones Agropecuarias, INIAChilean journal of agricultural research v.75 n.4 20152015-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392015000500005en10.4067/S0718-58392015000500005
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Canopy NDVI exponential correlation ratoon rice regression equation
spellingShingle	Canopy NDVI exponential correlation ratoon rice regression equation Liu,Kai-lou Li,Ya-zhen Hu,Hui-wen Predicting ratoon rice growth rhythmbased on NDVI at key growth stages of main rice
description	The growth of ratoon rice (Oryza sativa L.) is affected by growth of main rice, so it could be evaluated by determining growing condition of main rice. Objective of the study was to find regression model for predicting ratoon rice growth rhythm through establishing the quantitative relationship between growth rhythm in ratoon rice and normalized difference vegetation index (NDVI) after heading of main rice. NDVI at key growth stages of main rice was measured using active spectrometry for 12 varieties in 2008 and for 23 varieties in 2009, and compared the physiological indexes of main and ratoon rice. There was an exponential correlation (P < 0.05) between the NDVI after heading of the main rice and biomass, N concentration of green leaves and stems or leaf area index (LAI) after heading of the ratoon rice for all the 12 varieties in 2008. The regression models from the rice variety experiment in 2008 were used to calculate predicted values with NDVI after heading of main rice in 2009. The results showed that the predicted values of biomass, N uptake, and LAI in ratoon rice were significantly different to measured values. However, there were exponential and significantly positive correlation (p < 0.05) between biomass and N uptake and LAI in ratoon rice and NDVI after heading of main rice in 2009. Therefore, it suggested that regression models were not perfect, and need to be improved adding more parameters about spectral characteristic of main and ratoon rice.
author	Liu,Kai-lou Li,Ya-zhen Hu,Hui-wen
author_facet	Liu,Kai-lou Li,Ya-zhen Hu,Hui-wen
author_sort	Liu,Kai-lou
title	Predicting ratoon rice growth rhythmbased on NDVI at key growth stages of main rice
title_short	Predicting ratoon rice growth rhythmbased on NDVI at key growth stages of main rice
title_full	Predicting ratoon rice growth rhythmbased on NDVI at key growth stages of main rice
title_fullStr	Predicting ratoon rice growth rhythmbased on NDVI at key growth stages of main rice
title_full_unstemmed	Predicting ratoon rice growth rhythmbased on NDVI at key growth stages of main rice
title_sort	predicting ratoon rice growth rhythmbased on ndvi at key growth stages of main rice
publisher	Instituto de Investigaciones Agropecuarias, INIA
publishDate	2015
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-58392015000500005
work_keys_str_mv	AT liukailou predictingratoonricegrowthrhythmbasedonndviatkeygrowthstagesofmainrice AT liyazhen predictingratoonricegrowthrhythmbasedonndviatkeygrowthstagesofmainrice AT huhuiwen predictingratoonricegrowthrhythmbasedonndviatkeygrowthstagesofmainrice
_version_	1714205352779579392

Predicting ratoon rice growth rhythmbased on NDVI at key growth stages of main rice

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