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Optimizing energy yields in black locust through genetic selection: final report
Author(s) -
B. C. Bongarten,
Scott A. Merkle
Publication year - 1996
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/395580
Subject(s) - locust , selection (genetic algorithm) , biology , mating system , biomass (ecology) , genetic diversity , mating , agronomy , ecology , computer science , population , machine learning , demography , sociology
The purpose of this work was to assess the magnitude of improvement in biomass yield of black locust possible through breeding, and to determine methods for efficiently capturing the yield improvement achievable from selective breeding. To meet this overall objective, six tasks were undertaken to determine: (1) the amount and geographic pattern of natural genetic variation, (2) the mating system of the species, (3) quantitative genetic parameters of relevant traits, (4) the relationship between nitrogen fixation and growth in black locust, (5) the viability of mass vegetative propagation, and (6) the feasibility of improvement through genetic transformation

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