Abstract
The value of cultivation and use (VCU) tests are required for registration of new cultivars. The rules for conducting VCU tests were very restrictive as they require many tests to register the new cultivar of common bean (Phaseolus vulgaris). The standard rule has been relaxed since 2010 and was considers the regionalization of Brazil in edaphoclimatic regions (ECR). Thus, ten environments are currently accepted for regions I (South) and II (Central), and six environments for Region III (Northeast). Of which three environments are required per sowing season for the season in which the cultivar is to be indicated. The aim was to validate the number of environments for cultivar recommendation by computational simulation in three edaphoclimatic regions (ECR) in Brazil using field data from a 17-year period. The algorithm was created to simulate scenarios with different numbers of environments randomly sampled and to compares the genotype classified in the simulated scenarios to the ones classified in the complete multi-trial analysis. Components of variance, selective accuracy (SA), and relative grain yield were estimated for each simulated scenario. We find a high percentage of matches between the best-classified genotypes in the simulated scenarios with fewer environments when we compare to the complete analysis. The percentage of matches rises as the number of environments increases. However, after 90% of SA is achieved the increase of the environments doesn’t necessary. Thus, eight environments for ECR1 and ECR2 and six for ECR3 are in the mean point of the increase rate and are above 90% of SA. This sample size is adequate for common bean cultivar recommendations. Thus, it is concluded that the number of environments currently accepted for registration of new cultivars is capable of indicating the superior genotypes.
Similar content being viewed by others
Abbreviations
- CMA:
-
complete multi-trial analysis
- FYG:
-
frequency of the highest yield genotype
- ECR:
-
edaphoclimatic region
- ECR1:
-
South-central region
- ECR2:
-
Central region
- ECR3:
-
Northeast region
- Embrapa:
-
Brazilian agricultural research corporation
- G × E:
-
Genotype by environment interaction
- LMM:
-
Linear mixed model
- MAPA:
-
Brazilian ministry of agriculture
- NID:
-
Normally and independently distributed residues
- REML:
-
Restricted maximum likelihood
- RNC:
-
Brazilian national cultivar registry
- RGY:
-
Relative grain yield
- SA:
-
Selective accuracy
- VCU:
-
Value for cultivation and use trial
References
Ministério da Agricultura Pecuária e Abastecimento (Brasil). Instrução Normativa Nº 25, de 23 de MAIO DE 2006. Aprova o Regimento e estabelece os critérios mínimos a serem observados para a determinação do valor de cultivo e uso - VCU de feijão. Diário Oficial da União D.O.U.: Poder Executivo, Brasília, 23 maio 2006. URI: https://www.gov.br/agricultura/pt-br/assuntos/insumos-agropecuarios/insumos-agricolas/sementes-e-mudas/publicacoes-sementes-e-mudas/INN25de23demaiode2006.pdf (accessed June 19.06.19.).
Barros MS, Morais OP, Melo PGS, Morais OP, Castro AP, Breseghello F (2018) Effectiveness of early-generation testing applied to upland rice breeding. Euphytica 214:1–14. https://doi.org/10.1007/s10681-018-2145-z
Bassa D, Gurmu F, Mohammed H (2019) Comparison of univariate and multivariate models to analyze stability of common bean (Phaseolus vulgaris L.) genotypes in ethiopia. Agrotechnology 8:1–6. https://doi.org/10.4172/2168-9881.1000188
Dhiman S, Badiyal A, Katoch S, Pathania A, Singh A, Rathour R, Padder BA (2022) Insights on atypical adult plant resistance phenomenon in Andean bean cultivar Baspa (KRC-8) to Colletotrichum lindemuthianum, the bean anthracnose pathogen. Euphytica 218:77. https://doi.org/10.1007/s10681-022-03018-8
FAO (Food and Agriculture Organization of the United Nations) (2019) FAOSTAT Statistical Database. Accessed 23 July 2019.
Faria LC, Melo PGS, Pereira HS, Del Peloso MJ, Brás AJBP, Moreira JAA, De Carvalho HWL, Melo LC (2013) Genetic progress during 22 years of improvement of carioca-type common bean in Brazil. Field Crops Res 142:68–74. https://doi.org/10.1016/j.fcr.2012.11.016
Ferreira RADC, Ramalho MAP, Toledo FHRB, Abreu ADFB (2015) Implications of the number of years assessment on recommendation of common bean cultivars. Plant Breed 134:599–604. https://doi.org/10.1111/pbr.12302
Gomes PFC (1990) Curso de Estatística Experimental. Piracicaba. Brazil.
Li T, Raman AK, Marcaida Iii M, Kumar A, Angeles O, Radanielson AM (2013) Simulation of genotype performances across a larger number of environments for rice breeding using ORYZA2000. Field Crops Res 149:312–321. https://doi.org/10.7910/DVN/22722
Mateljević M, Svetlik M, Albijanić M, Savić N (2013) Generalizations of the Lagrange mean value theorem and applications. Filomat 27:515–528. https://doi.org/10.2298/FIL1304515M
Maziero SM, Ribeiro ND, Dos Santos FH (2016) Genetic parameters of agronomic and nutritional traits of common bean (Phaseolus vulgaris L.) populations with biofortified grains. Aust J Crop Sci 10:824–830. https://doi.org/10.3316/informit.323112798814043
Melo LC, Melo PGS, Faria LC, Diaz JLC, Del Peloso MJ, Rava CA, Costa JGC (2007) Interação com ambientes e estabilidade de genótipos de feijoeiro-comum na Região Centro-Sul do Brasil. Pesq Agrop Brasileira 42:715–723. https://doi.org/10.1590/S0100-204X2007000500015
Melo LC, Costa JGCD, Pereira HS, Del Peloso MJ, Wendland A, Faria LC, Nascente AS, Díaz JLC, Carvalho HWLD, Costa AFD (2012) Common bean cultivar BRS Ametista with large Carioca grains and disease resistance. Crop Breed Appl Biotechnol 12:293–296. https://doi.org/10.1590/S1984-70332012000400011
Melo LC (2009) Procedimentos para condução de experimentos de Valor de Cultivo e Uso em feijoeiro comum. Santo Antônio de Goiás. Brazil.
Pereira HS, Melo LC, Faria LC, Del Peloso MJ, Costa JGC, Rava CA, Wendland A (2009) Adaptability and stability of common bean genotypes with carioca grain type for central Brazil. Pesq Agrop Brasileira 44:29–37. https://doi.org/10.1590/S0100-204X2009000100005
Pereira HS, Melo LC, Del Peloso MJ, Faria LCD, Wendland A (2011) Complex interaction between genotypes and growing seasons of carioca common b\ean in Goiás/Distrito Federal. Crop Breed Appl Biotechnol 11:207–215. https://doi.org/10.1590/S1984-70332011000300002
Pereira HS, Alvares RC, Silva FC, Faria LC, Melo LC (2017) Genetic, environmental and genotype x environment interaction effects on the common bean grain yield and commercial quality. Semina Ciências Agrárias 38:1241–1250. https://doi.org/10.5433/1679-0359.2017v38n3p1241
Pereira HS, Melo LC, Silva SC, Del Peloso MJ, Faria LC, Costa JGC, Magaldi MDS, Wendland A (2010) Regionalização de áreas produtoras de feijão comum para recomendação de cultivares no Brasil. Embrapa Arroz e Feijão. Comunicado técnico, 187.
Petry N, Boy E, Wirth JP, Hurrell RF (2015) The potential of the common bean (Phaseolus vulgaris) as a vehicle for iron biofortification. Nutrients 7:1144–1173. https://doi.org/10.3390/nu7021144
Podlich D, Cooper M, Basford K, Geiger H (1999) Computer simulation of a selection strategy to accommodate genotype environment interactions in a wheat recurrent selection program. Plant Breed 118:17–28. https://doi.org/10.1046/j.1439-0523.1999.118001017.x
R Core Team (2015) R: A language and environment for statistical computing. Foundation for statistical computing, Vienna
Raaijmakers JG (1987) Statistical analysis of the Michaelis-Menten equation. Biometrics. https://doi.org/10.2307/2531533
Resende MDV, Duarte JB (2007) Precision and quality control in variety trials. Pesqui Agropecu Trop 37:182–194
Ribeiro ND, Maziero SM (2022) Number of experiments that should be considered in the cluster analysis of common bean genotypes for plant architecture and grain yield traits. Euphytica 218:89. https://doi.org/10.1007/s10681-022-03040-w
Silva RS, Faria JC, Knupp AM, Aguiar MS, Pereira HS, Ferreira AL, Zaidem ALM, Pinheiro PV, Melo LC, Souza TLPO (2022) Development and selection of transgenic advanced lines of carioca seeded common bean with multiple resistance to viruses. Euphytica. https://doi.org/10.1007/s10681-022-03017-9
Sperotto RA, Ricachenevsky FK (2017) Common bean Fe biofortification using model species’ lessons. Front Plant Sci 8:1–6. https://doi.org/10.3389/fpls.2017.02187
Sun X, Peng T, Mumm R (2011) The role and basics of computer simulation in support of critical decisions in plant breeding. Mol Breeding 28:421–436. https://doi.org/10.1007/s11032-011-9630-6
Torga PP, Melo PGS, Pereira HS, Faria LC, Del Peloso MJ, Melo LC (2013) Interaction of common beans cultivars of the black group with years, locations and sowing seasons. Euphytica 189:239–248. https://doi.org/10.1007/s10681-012-0793-y
Wickham H (2016) ggplot2: elegant graphics for data analysis. Springer, New York, p 260
Woyann LG, Zdziarski AD, Zanella R, Rosa AC, Conte J, Meira D, Storck L, Benin G (2020) Optimal number of replications and test locations for soybean yield trials in Brazil. Euphytica 216:11. https://doi.org/10.1007/s10681-019-2548-5
Zanella R, Meira D, Zdziarski AD, Brusamarello AP, Oliveira PHD, Benin G (2019) Performance of common bean genotypes as a function of growing seasons and technological input levels. Pesquisa Agropecuária Tropical 49:1–10. https://doi.org/10.1590/1983-40632019v4954989
Acknowledgements
We thank the entire common bean breeding staff at Embrapa, especially the research assistants and field workers, and thank Capes/the Brazilian Ministry of Education, for granting a scholarship to the first author.
Funding
The authors declare that no funds, grants, or other support were received during the preparation of this manuscript. The authors have no relevant financial or non-financial interests to disclose.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Luis Claudio de Faria, Helton Santos Pereira, Thiago Lívio Pessoa Oliveira de Souza, Leonardo Cunha Melo, Patrícia Guimarães Santos Melo and Matheus Souza de Barros. The first draft of the manuscript was written by Matheus Souza de Barros and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Competing Interests
A competing interests declaration is mandatory for publication in this journal. Please confirm that this declaration is accurate, or provide an alternative.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Barros, M.S., Melo, P.G.S., de Faria, L.C. et al. Validation of the regulations for common bean (Phaseolus vulgaris l.) cultivar recommendations by computational simulation with experimental data. Euphytica 219, 36 (2023). https://doi.org/10.1007/s10681-023-03165-6
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10681-023-03165-6