Implications of Experimental Design on Predicting Economic Optimum Nitrogen Rates in Rice
Nitrogen (N) response studies in rice (<i>Oryza sativa</i> L.) are conducted to provide grower recommendations with economically optimum N rates (EONRs). This study was conducted to determine if experimental design alters the predicted EONR for rice. The effects of experimental design an...
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2021
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oai:doaj.org-article:94eb2575511144ada9bed85be656bed52021-11-25T16:10:42ZImplications of Experimental Design on Predicting Economic Optimum Nitrogen Rates in Rice10.3390/agronomy111122962073-4395https://doaj.org/article/94eb2575511144ada9bed85be656bed52021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4395/11/11/2296https://doaj.org/toc/2073-4395Nitrogen (N) response studies in rice (<i>Oryza sativa</i> L.) are conducted to provide grower recommendations with economically optimum N rates (EONRs). This study was conducted to determine if experimental design alters the predicted EONR for rice. The effects of experimental design and soil texture on predicted EONR were investigated near Arcola, Greenville, Minter City, and Shaw, MS on soil textures ranging from sandy loam to clay. The response of rice grain yield to seven N fertilizer rates was fitted with a quadratic equation, and the quadratic trend was compared between the randomized complete block (RCB) and split-plot (SP) designs. No differences were detected between RCB and SP designs for rice grain yield response to N rate; therefore, either design, RCB or SP, would be appropriate for use in N response studies for rice.Richard Lee AtwillLarry Jason KrutzGene Dave SpencerJason A. BondKambham Raja ReddyJeffrey GoreTimothy W. WalkerDebbie BoykinMDPI AGarticlericenitrogen rateexperimental designEONRsplit-plotrandomized complete blockAgricultureSENAgronomy, Vol 11, Iss 2296, p 2296 (2021) |
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rice nitrogen rate experimental design EONR split-plot randomized complete block Agriculture S |
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rice nitrogen rate experimental design EONR split-plot randomized complete block Agriculture S Richard Lee Atwill Larry Jason Krutz Gene Dave Spencer Jason A. Bond Kambham Raja Reddy Jeffrey Gore Timothy W. Walker Debbie Boykin Implications of Experimental Design on Predicting Economic Optimum Nitrogen Rates in Rice |
description |
Nitrogen (N) response studies in rice (<i>Oryza sativa</i> L.) are conducted to provide grower recommendations with economically optimum N rates (EONRs). This study was conducted to determine if experimental design alters the predicted EONR for rice. The effects of experimental design and soil texture on predicted EONR were investigated near Arcola, Greenville, Minter City, and Shaw, MS on soil textures ranging from sandy loam to clay. The response of rice grain yield to seven N fertilizer rates was fitted with a quadratic equation, and the quadratic trend was compared between the randomized complete block (RCB) and split-plot (SP) designs. No differences were detected between RCB and SP designs for rice grain yield response to N rate; therefore, either design, RCB or SP, would be appropriate for use in N response studies for rice. |
format |
article |
author |
Richard Lee Atwill Larry Jason Krutz Gene Dave Spencer Jason A. Bond Kambham Raja Reddy Jeffrey Gore Timothy W. Walker Debbie Boykin |
author_facet |
Richard Lee Atwill Larry Jason Krutz Gene Dave Spencer Jason A. Bond Kambham Raja Reddy Jeffrey Gore Timothy W. Walker Debbie Boykin |
author_sort |
Richard Lee Atwill |
title |
Implications of Experimental Design on Predicting Economic Optimum Nitrogen Rates in Rice |
title_short |
Implications of Experimental Design on Predicting Economic Optimum Nitrogen Rates in Rice |
title_full |
Implications of Experimental Design on Predicting Economic Optimum Nitrogen Rates in Rice |
title_fullStr |
Implications of Experimental Design on Predicting Economic Optimum Nitrogen Rates in Rice |
title_full_unstemmed |
Implications of Experimental Design on Predicting Economic Optimum Nitrogen Rates in Rice |
title_sort |
implications of experimental design on predicting economic optimum nitrogen rates in rice |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/94eb2575511144ada9bed85be656bed5 |
work_keys_str_mv |
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1718413330516803584 |