國立虎尾科技大學 |

Improving Nitrogen Management in Potatoes with Active Optical Sensors.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Improving Nitrogen Management in Potatoes with Active Optical Sensors./
作者:	Zaeen, Ahmed Asaad.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	200 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
Contained By:	Dissertations Abstracts International82-05B.
標題:	Environmental science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28218245
ISBN:	9798684619175

Improving Nitrogen Management in Potatoes with Active Optical Sensors.
Zaeen, Ahmed Asaad.

Improving Nitrogen Management in Potatoes with Active Optical Sensors. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 200 p.

Source: Dissertations Abstracts International, Volume: 82-05, Section: B.

Thesis (Ph.D.)--The University of Maine, 2020.

This item must not be sold to any third party vendors.

Nitrogen (N) fertilizer rate is important for high yield and good quality of potato tubers. In this dissertation, I seek to study the response of different potato cultivars under different N fertilizer rates and how that can impact tuber quality, examine the performance of active optical sensors in improving a potato yield prediction algorithm, and evaluate the ability of active optical sensors (GreenSeeker (GS) and Crop Circle (CC)) to optimize a N recommendation algorithm that can be used by potato growers in Maine. This research was conducted at 11 sites over a period of two years (2018–2019) in Aroostook County, Maine; all sites depended on a rainfed system. Three potato cultivars, Russet Burbank, Superior, and Shepody, were planted under six rates of N (0–280 kg ha–1), ammonium sulfate and ammonium nitrate, and were applied in a randomized complete block design (RCBD) with four replications. Active optical sensor readings (normalized difference vegetation index (NDVI)) were collected weekly after the fourth leaf stage began. The coefficient of determination (R2) between soil organic matter (OM) content and total tuber yield for all sites combined was 0.78**. Sites with ≥ 30 g kg–1 of soil OM produced higher total tuber yield, marketable yield, and tuber weight per plant (39.45%, 45.22%, and 54.94%, respectively) than sites with ≤ 30 g kg–1 of OM. Specific gravity increased by 0.18% in the sites with ≥ 30 g kg–1 of OM. The total tuber yield for the three cultivars was maximized at 168 kg N ha–1. Vegetation indices measurements obtained at stages of 16 or 20 fully expanded leaves were significantly correlated with tuber yield, which can be used in the yield prediction model. Sensor measurements obtained at the 20th leaf stage were significantly correlated with tuber yield, with the exponential model showing the best fit for the regression curve. The recommended N rate calculated based on in-season sensor readings was reduced by approximately 12–14% compared to the total N rate that growers currently apply based on the conventional approach.

ISBN: 9798684619175Subjects--Topical Terms:

1179128
Environmental science.
Subjects--Index Terms:

Nitrogen management

Improving Nitrogen Management in Potatoes with Active Optical Sensors.
LDR:03229nam a2200361 4500 001 1067153
005 20220823142302.5
008 221020s2020 ||||||||||||||||| ||eng d
020 $a 9798684619175
035 $a (MiAaPQ)AAI28218245
035 $a (MiAaPQ)U_Maine4276
035 $a AAI28218245
040 $a MiAaPQ $c MiAaPQ
100 1 $a Zaeen, Ahmed Asaad. $3 1372502
245 1 0 $a Improving Nitrogen Management in Potatoes with Active Optical Sensors.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 200 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-05, Section: B.
500 $a Advisor: Sharma, Lakesh.
502 $a Thesis (Ph.D.)--The University of Maine, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Nitrogen (N) fertilizer rate is important for high yield and good quality of potato tubers. In this dissertation, I seek to study the response of different potato cultivars under different N fertilizer rates and how that can impact tuber quality, examine the performance of active optical sensors in improving a potato yield prediction algorithm, and evaluate the ability of active optical sensors (GreenSeeker (GS) and Crop Circle (CC)) to optimize a N recommendation algorithm that can be used by potato growers in Maine. This research was conducted at 11 sites over a period of two years (2018–2019) in Aroostook County, Maine; all sites depended on a rainfed system. Three potato cultivars, Russet Burbank, Superior, and Shepody, were planted under six rates of N (0–280 kg ha–1), ammonium sulfate and ammonium nitrate, and were applied in a randomized complete block design (RCBD) with four replications. Active optical sensor readings (normalized difference vegetation index (NDVI)) were collected weekly after the fourth leaf stage began. The coefficient of determination (R2) between soil organic matter (OM) content and total tuber yield for all sites combined was 0.78**. Sites with ≥ 30 g kg–1 of soil OM produced higher total tuber yield, marketable yield, and tuber weight per plant (39.45%, 45.22%, and 54.94%, respectively) than sites with ≤ 30 g kg–1 of OM. Specific gravity increased by 0.18% in the sites with ≥ 30 g kg–1 of OM. The total tuber yield for the three cultivars was maximized at 168 kg N ha–1. Vegetation indices measurements obtained at stages of 16 or 20 fully expanded leaves were significantly correlated with tuber yield, which can be used in the yield prediction model. Sensor measurements obtained at the 20th leaf stage were significantly correlated with tuber yield, with the exponential model showing the best fit for the regression curve. The recommended N rate calculated based on in-season sensor readings was reduced by approximately 12–14% compared to the total N rate that growers currently apply based on the conventional approach.
590 $a School code: 0113.
650 4 $a Environmental science. $3 1179128
650 4 $a Agriculture. $3 660421
650 4 $a Ecology. $3 575279
653 $a Nitrogen management
653 $a Potatoes
653 $a Active optical sensors
690 $a 0768
690 $a 0329
690 $a 0473
710 2 $a The University of Maine. $3 845490
773 0 $t Dissertations Abstracts International $g 82-05B.
790 $a 0113
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28218245