Choosing plant cultivars based on the probability of outperforming a check
Eskridge, K.
Choosing plant cultivars based on the probability of outperforming a check - Berlin (Germany) : Springer, 1992. - Computer File
Peer review Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752 Tables, references p. 499-500
A major consideration in most plant breeding programs is the development of cultivars that have high probabilities of outperforming the check cultivar in a broad range of environments. Methods are presented for estimating and testing hypotheses regarding these probabilities, which are termed reliabilities. Reliabilities are shown to be directly related to several commonly used stability parameters. Data from international maize yield trials are used to illustrate and evaluate the repeatability of the approach. Results indicate that reliabilities can be useful aids to plant breeders since they (1) are easy to understand and compute, (2) are indices that weigh the importance of the difference in performance relative to stability, and (3) are potentially useful as genetic parameters since they are generally repeatable across randomly sampled sets of environments.
Text in English
0040-5752 1432-2242 (Online)
https://doi.org/10.1007/BF00229512
Genotype environment interaction
Seed testing
Selection
Performance testing
Experimentation
Varieties
Zea mays
Plant breeding
Choosing plant cultivars based on the probability of outperforming a check - Berlin (Germany) : Springer, 1992. - Computer File
Peer review Peer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0040-5752 Tables, references p. 499-500
A major consideration in most plant breeding programs is the development of cultivars that have high probabilities of outperforming the check cultivar in a broad range of environments. Methods are presented for estimating and testing hypotheses regarding these probabilities, which are termed reliabilities. Reliabilities are shown to be directly related to several commonly used stability parameters. Data from international maize yield trials are used to illustrate and evaluate the repeatability of the approach. Results indicate that reliabilities can be useful aids to plant breeders since they (1) are easy to understand and compute, (2) are indices that weigh the importance of the difference in performance relative to stability, and (3) are potentially useful as genetic parameters since they are generally repeatable across randomly sampled sets of environments.
Text in English
0040-5752 1432-2242 (Online)
https://doi.org/10.1007/BF00229512
Genotype environment interaction
Seed testing
Selection
Performance testing
Experimentation
Varieties
Zea mays
Plant breeding