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Optimizing Strawberry Fruit Yield with Response Surface Methodology in a Central Composite Design
Author(s) -
Peng HungSheng,
Chang JiChung,
Chiu ChenChan,
Lai PoYung,
Lay HorngLiang
Publication year - 2013
Publication title -
crop science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.76
H-Index - 147
eISSN - 1435-0653
pISSN - 0011-183X
DOI - 10.2135/cropsci2012.02.0099
Subject(s) - fragaria , response surface methodology , biology , horticulture , yield (engineering) , rosaceae , botany , mathematics , agronomy , materials science , statistics , composite material
Using appropriate experimental design and modeling approach is important for predicting fruit yield of strawberry ( Fragaria virginiana Mill.). A field study with Taoyuen 3 (T3) strawberry, a hybrid of Fragaria virginiana and Fragaria chiloensis (L.) Mill., was conducted at Taitung County, Taiwan, using a central composite design (CCD) to optimize its fruit yield. Response surface methodology (RSM), based on a three‐variable and five‐level CCD, was employed to obtain an optimal combination of porphyritic andesite ( X 1 : 20 g kg −1 ), arbuscular mycorrhizal fungi ( X 2 : 9 g kg −1 ), and soil pH levels ( X 3 : 6.5) for predicting yields and maximum fruit productivity (10.3 g fruit −1 ). The data obtained in this study were fitted to a second‐order polynomial using multiple regression analysis. The observed data were in close agreement with the predicted value (two‐tailed independent t test with p = 0.923) based on the model. Our data indicate that RSM is a reliable approach to develop a model for predicting the fruit yields of the T3 strawberry in net houses.