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Agronomic performance and genetic divergence between genotypes of Manihot esculenta

Overview of attention for article published in Anais da Academia Brasileira de Ciências, December 2018
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Title
Agronomic performance and genetic divergence between genotypes of Manihot esculenta
Published in
Anais da Academia Brasileira de Ciências, December 2018
DOI 10.1590/0001-3765201820180099
Pubmed ID
Authors

João Antonio D Giles, Gleison Oliosi, Weverton P Rodrigues, Heder Braun, Ana I Ribeiro-Barros, Fábio L Partelli

Abstract

The morphoagronomic characterization of 12 genotypes of M. esculenta was performed during the 2013/2014 and 2014/2015 crop years. The 12 genotypes were planted in a randomized block design, with four replicates per genotype. Number of tuberous roots per plant, weight of tuberous roots, root yield, total plant weight, harvest index, plant height, height of first branch, number of shoots, stem diameter, number of buds, leaf dry weight and petiole length were evaluated. Genotypes "Camuquem" and "Goiás" were the most productive, and "Amarela" and "Gema de Ovo" were the most divergent. Seventy percent of genetic diversity was due to petiole length (22.86%), root yield (19.20%), weight of tuberous roots (14.89%) and number of buds (13.72%). Overall, the present results indicate a broad genetic basis for the evaluated genotypes, so that such genetic variation benefits the plant breeding for future scenarios Further studies of the evaluated genotypes should be performed under environmental limitations, using biochemical and molecular tools to identify markers for genetic improvement.

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Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 31%
Student > Master 2 15%
Professor > Associate Professor 1 8%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Agricultural and Biological Sciences 3 23%
Engineering 2 15%
Unknown 5 38%