Abstract
Abstract: The objective of this work was to determine the genetic parameters and the efficiency of different selection indices for biofortified red leaf lettuce (Lactuca sativa var. crispa) lines with agronomic and nutritional potential. The experiment was carried out in a randomized complete block design with three replicates and 31 crisp-textured and red-tinted leaf lettuce genotypes: the Belíssima cultivar, with a low carotenoid content and rich in anthocyanins; and 30 lines from the cross between the Belíssima and Uberlândia 10000 cultivars, rich in carotenoids and with a low anthocyanin content. The assessed traits were: total green mass (g), stem diameter (cm), leaf count, plant diameter (cm), foliar temperature (°C), soil plant analysis development (SPAD) index, anthocyanin content (mg 100 g-1 sample), and bolting (days after sowing). To estimate selection gains, 12 genotypes were selected through selection indices. The traditional index proposed by Smith & Hazel and the sum of ranks index by Mulamba & Mock provided the highest selection gains in the biofortified lettuce. The coefficient of genotypic determination for leaf count, anthocyanin content, bolting, and SPAD index is of high magnitude.
Highlights
Lettuce (Lactuca sativa L.) is the most consumed leafy vegetable in Brazil and it is a rich source of fibers, carotenoids, phenolic compounds, antioxidants, minerals, and vitamins A, C, and K (Sytar et al, 2018)
The coefficient of genotypic determination for leaf count, anthocyanin content, bolting, and soil plant analysis development (SPAD) index is of high magnitude
The experiment was conducted at the vegetables research station of Universidade Federal de Uberlândia (UFU), located in the state of Minas Gerais, Brazil (18°42’43.19”S, 47°29’55.8”W, at 873 m above sea level), in 2018
Summary
Lettuce (Lactuca sativa L.) is the most consumed leafy vegetable in Brazil and it is a rich source of fibers, carotenoids, phenolic compounds, antioxidants, minerals, and vitamins A, C, and K (Sytar et al, 2018). The search for an individual that combines several characteristics requires an increased selection complexity since lettuce lines have been mainly selected by the univariate analysis (Ceccherini et al, 2020), which results in a product selected according to a response variable per se. In view of these constraints, methods are needed to increase the efficiency and the success of lettuce breeding programs. The estimates of genetic parameters, as coefficient of genotypic determination and genetic gain, and the correlation between traits are reliable indicators of the enhancement of a characteristic of a given genetic material through selection
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