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SELECTION OF COFFEE PROGÊNIES FOR RESISTANCE TO LEAF RUST AND FAVORABLE AGRONOMIC TRAITS
Author(s) -
Rafael Almeida Dias,
Marcelo Resende de Freitas Ribeiro,
Alex Mendonça de Carvalho,
César Elias Botelho,
Antonio Guimarães Mendes,
André Dominghetti Ferreira,
Fernando Costa Fernandes
Publication year - 2019
Publication title -
coffee science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.268
H-Index - 15
eISSN - 1984-3909
pISSN - 1809-6875
DOI - 10.25186/cs.v14i2.1564
Subject(s) - randomized block design , biology , rust (programming language) , cultivar , horticulture , selection (genetic algorithm) , mathematics , agronomy , microbiology and biotechnology , artificial intelligence , computer science , programming language
The objective of this study was to select coffee progenies with better assessment that can result in coffee rust resistant cultivars and better agronomic characteristics than the traditional ones. The essay was performed at the EPAMIG experimental field in Patrocinio, state of Minas Gerais, Brazil. Twenty-five progenies in the F3 generation were studied.  The experiment was set in a randomized complete block design with three replicates and ten plants per plot, arranged in rows at 3.5x0.7m. Productivity assessment, fruit production, in liters of “farm coffee” per plot, bean rating in a sieve (16 or above), and plant vigor were accessed in three different harvest seasons (2011/2012 harvest to 2014/2015 harvest), and coffee rust incidence and severity were then evaluated for 2016. The production profit estimation through the selection was also assessed, by the gain of direct selection for each characteristic, when compared to the rank addition. Progenies 13 (Icatu V. IAC 4040 x IAC 5002) and 3 (Icatu A. IAC 2944 x IAC 5002) were promising in generation advance, for being among the five most productive progenies. The selection gain reached by direct selection was superior than the gain of the total rank additions.

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