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Research Paper | Agricultural engineering | Taiwan | Volume 7 Issue 7, July 2018 | Popularity: 6.9 / 10
Analysis of Rice Leaf Area Index Variation under different Irrigation Conditions in Southern Taiwan
Massiafa Sagnon, Yu-Min Wang
Abstract: This study aims to evaluate the relationship between the estimated leaf area index (LAI) and the set of both dependent and independent variables that may have a direct impact on its values, depending on their diversity. Due to its high performance, rice crop (Oryza sativa) variety Tainan 11 was chosen to be planted and monitored in an experimental field. Data analysis highlighted three major variables which had a strong correlation with LAI such as the treatments or the different water depths applied during the growing season, the time interval (R2 = 0.94, and P?0.05), the leaf number, and the mineral fertilizers (R2 = 0.96). LAI variability with 5 different treatments such as 2, 3, 4, and 5cm on soil hairline (SHC) cracks, and 3cm per week the results showed that 3cm SHC gave the high values of LAI. Then, leaf number of 120 hills was used as the main inputs to generate statistical rice LAI estimating model, while 24 hills leaf number was used for the validation process. Thereby, the research challenge is to develop a model that can be inverted to extract relevant and reliable information from LAI values, providing users useful information about rice plant growth status.
Keywords: Leaf Area Index (LAI), LAI estimating model, LAI variation
Edition: Volume 7 Issue 7, July 2018
Pages: 406 - 410
DOI: https://www.doi.org/10.21275/ART20183840
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