Remote Sensing Prediction of Grain Protein Content in Medium and Weak Gluten Spring Wheat Using Satellite Image at Anthesie

DING Jinfeng; ZHU Xinkai; WANG Junchan; ZHANG Xudong; TANG Changwei; LI Chunyan; GUO Wenshan

doi:10.16211/j.issn.1004-390X(n).2015.06.016

JOURNAL OF YUNNAN AGRICULTURAL UNIVERSITY（Natural Science） > 2015 > 30(6): 932-940. > DOI: 10.16211/j.issn.1004-390X(n).2015.06.016

DING Jinfeng, ZHU Xinkai, WANG Junchan, et al. Remote Sensing Prediction of Grain Protein Content in Medium and Weak Gluten Spring Wheat Using Satellite Image at Anthesie[J]. JOURNAL OF YUNNAN AGRICULTURAL UNIVERSITY（Natural Science）, 2015, 30(6): 932-940. DOI: 10.16211/j.issn.1004-390X(n).2015.06.016

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Remote Sensing Prediction of Grain Protein Content in Medium and Weak Gluten Spring Wheat Using Satellite Image at Anthesie

1.
1. Jiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China
2.
2. Yangzhou Wheat Research Institute, Yangzhou University, Yangzhou University, Yangzhou 225009, China
3.
4.
Jiangsu Key Laboratory of Crop Genetics and Physiology/Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou 225009, China

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Received Date: October 28, 2014
Revised Date: March 25, 2015
Published Date: November 15, 2015

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Abstract

Abstract

The present study provides some references for wheat production in situation analysis and acquisition schedule through monitoring and predicting grain quality. We measured plant growth quality indexes, remote sensing parameters by Landsat-5 TM satellite data at elongation and anthesis stage and grain protein content at maturity stage in Jiangsu locating in middle and lower reaches of the Yangtse River. The relationships between/among these indexes were analyzed to establish remote sensing prediction model of grain protein content(GPC) in medium and weak gluten wheat. The correlations between GPC and plant growth quality indexes, including leaf SPAD reading, leaf nitrogen content and plant nitrogen content, were not significant at elongation. However, plant growth quality indexes at anthesis could be used to predict GPC because these indexes were significantly related with GPC(P0.01). Plant growth quality indexes could be better predicted by NDVI and DSW3 than other remote sensing parameters at anthesis. Therefore, two GPC models based on NDVI and DSW3 were established respectively. The correlations between GPC measured values and prediction values by above-mentioned models were very significant in experiments of 2007 and 2009(P0.01). NDVI model showed more accurate prediction than DSW3 model evidenced by lower RMSE. Furthermore, we produced thematic maps at anthesis for predicting GPC in medium and weak gluten spring wheat growing in Jiangsu some areas in 2009 by using NDVI model.
- medium and weak gluten,
- wheat,
- satellite remote sensing,
- protein content,
- prediction model

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Remote Sensing Prediction of Grain Protein Content in Medium and Weak Gluten Spring Wheat Using Satellite Image at Anthesie

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