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Evaluation of mass selection for grain yield and estimation of genetic variability in three selected maize (Zea mays L.) populations
Author(s) -
Mulamba Ngandu-Nyindu
Publication year - 2018
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.31274/rtd-180816-4630
Subject(s) - zea mays , selection (genetic algorithm) , grain yield , agronomy , yield (engineering) , biology , estimation , genetic variability , genotype , engineering , computer science , artificial intelligence , genetics , physics , thermodynamics , systems engineering , gene

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