Incidence of diseases and selection of soybean cultivars (Glycine max l. Merril) in a water deficit environment

Authors

DOI:

https://doi.org/10.5965/223811712322024211%20

Keywords:

water stress, selection of genotypes, yield grain

Abstract

This work aimed to verify if it is possible to select soybean genotypes tolerant to diseases and water stress. The experimental design was randomized blocks (RBD), with thirty soybean genotypes, in four replications, totaling 120 experimental units. Evaluations were performed based on crop yield components and disease incidence in thirty soybean cultivars in field conditions. Analysis of variance was performed at 5% probability using the F test. Variables that showed significance were compared using Scott-Knott's grouping of means at 5% probability. Pearson's linear correlation coefficients were calculated between pairs of variables, with significance imposed by the t test at 5% probability. The Euclidean distances were calculated and the UPGMA grouping was performed to construct the genetic dissimilarity dendrogram, after which the biplot principal components were used to identify the association trend between variables and cultivars. It was possible to select soybean genotypes for grain production and disease tolerance in an environment with water stress. Cultivars M 5947 IPRO, TEC 6702 IPRO, M 6410 IPRO showed the highest grain yield. The cultivar TEC 6702 IPRO showed the best agronomic performance for morphological and productive characteristics, associated with the lowest incidence of diseases.

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References

ALVARES CA et al. 2014. Koppen’s climate classification map for Brazil. Meteorologische Zeitschrift 22: 711–728.

BELLINASSO AV et al. 2021. Cover crops and their relationship with the qualitative and quantitative attributes of soybeans. Brazilian Journal of Agriculture-Revista de Agricultura 9: 294-313.

CARVALHO IR et al. 2018. Melhoramento e produção de sementes de culturas anuais - Soja, Milho, Trigo e Feijão. Saarbrücken. Germany: Ommi Scriptum Publishing Group. 229p.

FRANÇA-NETO JB et al. 2012. Semente Esverdeada de Soja: Causas e Efeitos Sobre o Desempenho Fisiológico. Série Sementes. Londrina: Embrapa Soja. Circular Técnica 91.

HAMEED A et al. 2014. Role of am fungi in alleviating drought stress in plants. In: M. MIRANSARI (ed.). Use of Microbes for the Alleviation of Soil Stresses. p.55-75.

LORO MV et al. 2021. Artificial intelligence and multiple models applied to phytosanitary and nutritional aspects that interfer in the physiological potential of soybean seeds. Brazilian Journal of Agriculture 96: 324-338.

LORO MV et al. 2022. Decomposition of white oat phenotypic variability by environmental covariates. Brazilian Journal of Agriculture-Revista de Agricultura 97: 279-302.

MOURA NB et al. 2021. Quali-Quantitative Genetic Dissimilarity of Soybean. Functional Plant Breeding Journal 3: 59-70.

PIMENTEL JR et al. 2021. Water deficit in the soybean breeding. Agronomy Science and Biotechnology 7: 1-20.

PITOL C. 2015. Soja Mais Produtiva e Tolerante a Seca. In: PITOL C et al. Tecnologia e Produção Soja Safra 2014/2015. Curitiba: Midiograf. p.29-37.

R CORE TEAM. 2023. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Disponível em: < https://www.R-project.org/>.

SANTOS HG et al. 2018. Sistema Brasileiro de Classificação de Solos. 5.ed. Brasília: Embrapa. 187 p.

SEPAHVAND T et al. 2021. Symbiosis of AMF with growth modulation and antioxidant capacity of Caucasian Hackberry (Celtis Caucasica L.) seedlings under drought stress. Central Asian Journal Environmental Science and Technology Innovation 2: 20-35.

ZIMMERMANN CS et al. 2022. Economic and agronomic positioning of fungicides in conditions of water deficit in soybean cultures. Tropical and Subtropical Agroecosystems 25: 1-16.

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Published

2024-09-13

How to Cite

GOI, Renato José; CARVALHO, Ivan Ricardo; LORO, Murilo Vieira; PRADEBON, Leonardo Cesar; SILVA, Thayane Beck da; FRANTZ, Vitor Rott; SAND, Arthur Ledermann Van Der; FERREIRA, Luiz Leonardo. Incidence of diseases and selection of soybean cultivars (Glycine max l. Merril) in a water deficit environment. Revista de Ciências Agroveterinárias, Lages, v. 23, n. 2, p. 211–220, 2024. DOI: 10.5965/223811712322024211 . Disponível em: https://periodicos.udesc.br/index.php/agroveterinaria/article/view/24237. Acesso em: 13 nov. 2024.

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Section

Research Article - Science of Plants and Derived Products

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