In-season assessment of grain protein and amylose content in rice using critical nitrogen dilution curve

被引:42
|
作者
Ata-Ul-Karim, Syed Tahir [1 ,2 ]
Zhu, Yan [1 ]
Cao, Qiang [1 ]
Rehmani, Muhammad Ishaq Asif [3 ]
Cao, Weixing [1 ]
Tang, Liang [1 ]
机构
[1] Nanjing Agr Univ, Jiangsu Collaborat Innovat Ctr Modern Crop Prod, Jiangsu Key Lab Informat Agr, Natl Engn & Technol Ctr Informat Agr, 1 Weigang Rd, Nanjing 210095, Jiangsu, Peoples R China
[2] Chinese Acad Sci, Inst Soil Sci, Key Lab Soil Chem & Environm Protect, 71 East Beijing Rd, Nanjing 210008, Jiangsu, Peoples R China
[3] Ghazi Univ, Dept Agron, Dera Ghazi Khan, Punjab, Pakistan
基金
中国国家自然科学基金;
关键词
Grain quality; Nitrogen dilution curve; Prediction models; Protein; Amylose; Rice ecotypes; CANOPY REFLECTANCE MEASUREMENTS; ORYZA-SATIVA L; LEAF DRY-MATTER; WINTER-WHEAT; USE EFFICIENCY; CHLOROPHYLL METER; NUTRITION INDEX; QUALITY CHANGES; IRRIGATED RICE; JAPONICA RICE;
D O I
10.1016/j.eja.2017.08.001
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Effective nitrogen (N) management strategies ensure optimal N status in rice (Oryza sativa L.) plants for improving crop growth and grain quality with optimal N use efficiency. In-season plant N status affects rice grain quality. The critical N (Nc) dilution curves have been applied for predicting in-season nitrogen requirement (NR) and grain yield in rice, however, its application for estimating rice grain quality at harvest is yet to be tested. This research was endeavored to establish the quantitative relationships of protein content (PC) and amylose content (AC) with nitrogen nutrition index (NNI), accumulated nitrogen deficit (AND), and NR at various growth stages during vegetative growth period of rice and to validate these relationships in Japonica and Indica rice ecotypes. Five multi-locational field trials with five rice cultivars and varied N application rates were carried out in eastern China. The quantitative relationships of PC and AC with NNI, AND, and NR at various growth stages in both rice ecotypes were highly significant (for Japonica and Indica, R-2 > 0.88 and 0.85 for PC, R-2 > 0.85 and 0.81 for AC, respectively). The strongest relations were observed for both rice ecotypes at later vegetative growth stages and periods. The validation of the developed quantitative relationships with the independent dataset revealed a solid model performance, especially during later vegetative growth period (R2 > 0.90, root mean square error < 18%) and confirmed their robustness as reliable predictors for assessing in-season grain quality in rice. The projected results can be used for estimating in-season grain quality and precision N management for rice.
引用
收藏
页码:139 / 151
页数:13
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