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Strategies for precision oil palm ma...

Balasundram, Siva Kumar.

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Strategies for precision oil palm management in south Sumatra, Indonesia.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Strategies for precision oil palm management in south Sumatra, Indonesia./
作者:	Balasundram, Siva Kumar.
面頁冊數:	203 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-08, Section: B, page: 3601.
Contained By:	Dissertation Abstracts International64-08B.
標題:	Agriculture, Soil Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3102097

Strategies for precision oil palm management in south Sumatra, Indonesia.
Balasundram, Siva Kumar.

Strategies for precision oil palm management in south Sumatra, Indonesia. - 203 p.

Source: Dissertation Abstracts International, Volume: 64-08, Section: B, page: 3601.

Thesis (Ph.D.)--University of Minnesota, 2003.

Precision agriculture (PA) is changing the way people manage crops and soils. As an information-driven system, PA possesses fine-scale diagnostic capabilities that facilitate the application of production inputs so as to match varying crop, soil and other field attributes. Conceptually, this offers increased potential for crop/soil productivity and quality. The oil palm, a tropical tree perennial, makes a good candidate for PA given its high economic value and high fertilizer requirements. This 3-part research explored the feasibility of precision oil palm management (POPM) as a means to increase agronomic efficiency and quality, with emphasis on nutrient management.Subjects--Topical Terms:

1017824
Agriculture, Soil Science.

Strategies for precision oil palm management in south Sumatra, Indonesia.
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245 1 0 $a Strategies for precision oil palm management in south Sumatra, Indonesia.
300 $a 203 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-08, Section: B, page: 3601.
500 $a Adviser: Pierre C. Robert.
502 $a Thesis (Ph.D.)--University of Minnesota, 2003.
520 $a Precision agriculture (PA) is changing the way people manage crops and soils. As an information-driven system, PA possesses fine-scale diagnostic capabilities that facilitate the application of production inputs so as to match varying crop, soil and other field attributes. Conceptually, this offers increased potential for crop/soil productivity and quality. The oil palm, a tropical tree perennial, makes a good candidate for PA given its high economic value and high fertilizer requirements. This 3-part research explored the feasibility of precision oil palm management (POPM) as a means to increase agronomic efficiency and quality, with emphasis on nutrient management.
520 $a In part-1, the spatial variability of yield-influencing soil fertility parameters were characterized at different topographic positions. Spatial characterization was done using classical and geo-spatial statistics. Results showed clear yield and fertility gradients across topography. The spatial variability of yield-influencing variables (YIVs) also differed across topography. Among the YIVs, potassium demonstrated the highest potential for variable rate management.
520 $a Part-2 aimed at determining suitable rates of N, P, and K for site-specific nutrient management using information about spatial variability. Results showed that yield, growth and fertility responses to treatments were insignificant in most cases. High inherent nutrient concentrations and within-block spatial trends were believed to have masked the responses. Growth variables exhibited significant spatial structures. To account for spatial effects, an iterated nearest-neighbor analysis (NNA) was employed. The NNA-adjustment on growth produced significant treatment effects and improved model precision. Recomputed growth curves indicated that lower N, P and K rates resulted in higher growth increments. Yield and adjusted-growth curves were comparable for N and P but contrasted for K. As such, lower rates are recommended for N and P while higher rates are justified for K.
520 $a Part-3 investigated the relationship between oil yield and external fruit characteristics with an aim of developing a simple protocol to facilitate bunch quality determination, ripeness and grading assessment, and yield mapping for site-specific management. Results showed that oil yield could be predicted reliably (R<super>2</super> = 0.76–0.78) based on fruit color. Validation of the calibrated models afforded 54–56% accuracy.
520 $a Overall, this research demonstrated feasible and relevant strategies for POPM.
590 $a School code: 0130.
650 4 $a Agriculture, Soil Science. $3 1017824
650 4 $a Agriculture, Agronomy. $3 1018679
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710 2 0 $a University of Minnesota. $3 676231
773 0 $t Dissertation Abstracts International $g 64-08B.
790 1 0 $a Robert, Pierre C., $e advisor
790 $a 0130
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3102097