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Multigeneration Index in the Within‐Progenies Bulk Method for Breeding of Self‐pollinated Plants
Author(s) -
Resende Marcos D.V.,
Ramalho Magno A.P.,
Guilherme Scheila R.,
F.B. Abreu Ângela
Publication year - 2015
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/cropsci2014.08.0580
Subject(s) - biology , selection (genetic algorithm) , index selection , covariance , identification (biology) , genetic gain , index (typography) , phaseolus , statistics , microbiology and biotechnology , clonal selection , agronomy , botany , mathematics , genetic variation , genetics , computer science , artificial intelligence , world wide web , gene , immunology
ABSTRACT This study proposes a strategy for improving the bulk method within progenies in self‐pollinated plants. The proposal focuses on the use of a multigeneration index, which considers the whole information across generations and the covariance among successive generations with a view toward identification of the best progenies. The results of the simulation and analysis of field data from common bean ( Phaseolus vulgaris L.) were concordant and showed that the estimates of the accuracies were near 85% using the multigeneration index and 70% for the traditional methodology based on comparisons among progeny means of the generation F 3:6 or of the last generation evaluated. Another advantage of the index is mitigation of the effect of the genotype × environment interaction, because it considers all the generations of assessment, thus involving interaction of the progenies with the sowing times. When selection is performed using only the information from the last generation assessed, performance of the progenies is inflated by this interaction. The efficiency of the strategy proposed leads to a 12% gain in relation to that which is normally used. This gain is considerable and equivalent in most cases to that which would be obtained through one additional selection cycle. It should be highlighted that this increase is obtained without any additional cost on experimentation, but simply through changing the procedure of identification of the best progenies after successive generations.