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Nitrogen rate and timing effects on growth and yield of drill-sown rice

B. W. Dunn A C , T. S. Dunn A and B. A. Orchard B
+ Author Affiliations
- Author Affiliations

A NSW Department of Primary Industries, Yanco Agricultural Institute, PMB, Yanco, NSW 2703, Australia.

B NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, PMB, Wagga Wagga, NSW 2650, Australia.

C Corresponding author. Email: brian.dunn@dpi.nsw.gov.au

Crop and Pasture Science 67(11) 1149-1157 https://doi.org/10.1071/CP16331
Submitted: 3 September 2015  Accepted: 16 September 2016   Published: 7 October 2016



18 articles found in Crossref database.

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Effect of nitrogen management on grain yield of rice grown in a high-yielding environment under flooded and non-flooded conditions
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Estimating nitrogen status of rice canopy using hyperspectral reflectance combined with BPSO-SVR in cold region
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Chemometrics and Intelligent Laboratory Systems. 2018 172 p.68
Effect of agronomic management on rice grain quality Part III: Australian water‐saving irrigation practices
Wood Rachael M., Dunn Brian W., Waters Daniel L. E, Blanchard Christopher L., Mawson Andrew John, Oli Prakash
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Effect of agronomic management on rice grain quality Part II: Nitrogen rate and timing
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Cereal Chemistry. 2021 98(2). p.234
Recovery of nitrogen fertiliser by drill-sown rice crops using best management practice: a
Rose Terry J., Kearney Lee J., Dunn Brian W., Dunn Tina S., Armstrong Roger
Crop & Pasture Science. 2022 73(11). p.1245
Effect of agronomic management on rice grain quality Part IV: Sowing rate
Wood Rachael Maree, Dunn Brian W., Waters Daniel L. E., Blanchard Christopher L., Mawson Andrew John, Oli Prakash
Cereal Chemistry. 2021 98(2). p.263
Reflectance Measurements from Aerial and Proximal Sensors Provide Similar Precision in Predicting the Rice Yield Response to Mid-Season N Applications
Rehman Telha H., Lundy Mark E., Reis Andre Froes de Borja, Akbar Nadeem, Linquist Bruce A.
Sensors. 2023 23(13). p.6218
Predicting panicle initiation timing in rice grown using water efficient systems
Darbyshire Rebecca, Crean Emma, Dunn Tina, Dunn Brian
Field Crops Research. 2019 239 p.159
Soil and fertiliser nitrogen performance indicators for irrigated cotton in Australia
Smith John, Fukai Shu, Bell Michael, Grace Peter
Soil Research. 2022 61(4). p.329
Predicting rice phenology and optimal sowing dates in temperate regions using machine learning
Brinkhoff James, McGavin Sharon L., Dunn Tina, Dunn Brian W.
Agronomy Journal. 2023
Rice nitrogen status detection using commercial-scale imagery
Brinkhoff James, Dunn Brian W., Robson Andrew J.
International Journal of Applied Earth Observation and Geoinformation. 2021 105 p.102627
The influence of nitrogen and variety on rice grain moisture content dry-down
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Field Crops Research. 2023 302 p.109044
Modeling Mid-Season Rice Nitrogen Uptake Using Multispectral Satellite Data
Brinkhoff James, Dunn Brian W., Robson Andrew J., Dunn Tina S., Dehaan Remy L.
Remote Sensing. 2019 11(15). p.1837

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