TY - JOUR
T1 - Optimal method of transforming observables into relative values for multi-environment trials in maize
AU - Liu, Zhe
AU - Yang, Jianyu
AU - Li, Shaoming
AU - Wang, Hu
AU - Li, Lin
AU - Zhang, Xiaodong
AU - Zhu, Dehai
PY - 2011/7/1
Y1 - 2011/7/1
N2 - Relative evaluation is commonly used in multi-environment trials of crop varieties. Five methods of transforming observables into relative values were proposed, and the corresponding relative values were measured by the new index standard deviation ratio to find the optimal one. Then, 5 relative values and standard deviation ratios were calculated using 8-year maize variety regional trial data of China. The results show that: the 5 relative values transformation methods can be applied to various traits, and relative values were informative and understandable, and moreover making weighted multi-traits and graphic analysis much easier. The new index standard deviation ratio can directly response the closeness of each relative value to the genetic characteristic, and can be used to measure these relative values transformation methods. For most traits, the optimal methods of transforming observables into relative values were: 3S and 2S value compared to the sample mean value (short for A) > standard order value (C) > the imitated NDVI value compared to the sample mean value (D) > the imitated NDVI value compared to the check variety (E) > 3S and 2S value compared to the check variety (B) > observables (F). 3S and 2S value compared to the sample mean value, which is closest to the genetic characteristic, can be used as the main method of transforming observables into relative values for multi-environment trials in maize.
AB - Relative evaluation is commonly used in multi-environment trials of crop varieties. Five methods of transforming observables into relative values were proposed, and the corresponding relative values were measured by the new index standard deviation ratio to find the optimal one. Then, 5 relative values and standard deviation ratios were calculated using 8-year maize variety regional trial data of China. The results show that: the 5 relative values transformation methods can be applied to various traits, and relative values were informative and understandable, and moreover making weighted multi-traits and graphic analysis much easier. The new index standard deviation ratio can directly response the closeness of each relative value to the genetic characteristic, and can be used to measure these relative values transformation methods. For most traits, the optimal methods of transforming observables into relative values were: 3S and 2S value compared to the sample mean value (short for A) > standard order value (C) > the imitated NDVI value compared to the sample mean value (D) > the imitated NDVI value compared to the check variety (E) > 3S and 2S value compared to the check variety (B) > observables (F). 3S and 2S value compared to the sample mean value, which is closest to the genetic characteristic, can be used as the main method of transforming observables into relative values for multi-environment trials in maize.
KW - Maize variety
KW - Multi-environment tests
KW - Relative transformations
KW - Sample mean value
KW - Standard deviation ratio
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U2 - 10.3969/j.issn.1002-6819.2011.07.036
DO - 10.3969/j.issn.1002-6819.2011.07.036
M3 - Article
AN - SCOPUS:80051822708
SN - 1002-6819
VL - 27
SP - 205
EP - 209
JO - Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
JF - Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering
IS - 7
ER -