Abstract
Soybean crop in Brazil is growing rapidly. In recent harvests, grain production has been record, placing the country in the ranking of the second largest producer of soybeans in the world. Despite increase in production, producers face a major challenge against soybean diseases. Among diseases that affect soybean crop is Asian rust (Phakopsora pachyrhizi), which is so aggressive and may cause yield losses of 10 to 90% depending on infestation level. This study aimed at evaluating three soybean cultivars for tolerance and resistance to Asian rust, in order to classify which of them is the most suitable for the region of municipally of Arcos, Minas Gerais state, Brazil. The cultivars were monitored throughout the crop cycle, evaluating the presence (or not) of symptoms that characterize the Asian rust. Results allowed verifying that the three cultivars were tolerant to Asian rust. Cultivars AS-3730 iPRO RR² and M-7739 iPRO RR² are more suitable for regions where higher resistance to Asian rust is required. The cultivar SYN-1366c iPRO RR² presented low resistance, but it was highly tolerant to pathogen, since its yield was similar to the other cultivars analyzed.
Highlights
Introdução Na Safra 2018/2019, o Brasil foi o segundo maior produtor mundial de soja (Glycine max (L.) Merrill) com a produção de 114,843 milhões de toneladas, ficando atrás apenas dos Estados Unidos (EUA), com uma produção do grão de 123,664 milhões de toneladas (Empresa Brasileira de Pesquisa Agropecuária – EMBRAPA, 2019a)
Among diseases that affect soybean crop is Asian rust (Phakopsora pachyrhizi), which is so aggressive and may cause yield losses of 10 to 90% depending on infestation level
Cultivars AS-3730 iPRO RR2 and M-7739 iPRO RR2 are more suitable for regions where higher resistance to Asian rust is required
Summary
Issue ID: Sci. Elec. Arch. Vol 13 (8) August 2020 DOI: http://dx.doi.org/10.36560/13820201013 Article link http://sea.ufr.edu.br/index.php?journal=SEA&page=article&o p=view&path%5B%5D=1013&path%5B%5D=pdf Included in DOAJ, AGRIS, Latindex, Journal TOCs, CORE, Discoursio Open Science, Science Gate, GFAR, CIARDRING, Academic Journals Database and NTHRYS Technologies, Portal de Periódicos CAPES.
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