Prediction of corn genetic bases grain productivity by phenological and meteorological variables
DOI:
https://doi.org/10.5902/2179460X83990Keywords:
Zea mays, Regression tree, Global solar radiation, Thermal sumAbstract
The objective of this study was to determine if it is possible to predict the grain yield of maize genotypes using phenological and meteorological variables. An experiment was conducted with maize genotypes at five sowing dates. On the first sowing date (September 21, 2021) 71 genotypes were sown (46 single hybrids, 14 triple hybrids, 3 double hybrids and 8 varieties). In the other four sowing dates (October 20, 2021, November 20, 2021, December 20, 2021 and January 30, 2022) 78 genotypes were sown (47 single hybrids, 15 triple hybrids, 8 double hybrids and 8 varieties). For each genotype and sowing date, the phenological variables, grain yield, accumulated global solar radiation and the thermal sum in the vegetative and reproductive stages were obtained. For each maize genetic base, principal component analysis was applied and the parameters of the regression tree algorithm for predicting grain yield as a function of phenological and meteorological variables were estimated. The global solar radiation accumulated in the vegetative and reproductive stages is the main variable that determines the grain yield of triple and double hybrids; and simple hybrids and maize varieties, respectively.
Downloads
References
ALVARES, C. A.; STAPE, J. L.; SENTELHAS, P. C.; GONÇALVES, J. L. M.; SPAROVEK, G. Koppen’s climate classification map for Brazil. Meteorologische Zeitschrif, [S.l.], v. 22, n. 6, p. 711-728, 2013. DOI: https://doi.org/10.1127/0941-2948/2013/0507
ARNOLD, C. Y. Maximum-minimum temperatures as a basis for computing heat units. Journal of the American Society for Horticultural Sciences, v. 76, n. 1, p. 682-692, 1960.
BONELLI, L. E; MONZON, J. P; VERRUDO, A; RIZZALLI, R. H; ANDRADE, F. H. Maize grain yield components and source-sink relationship as affected by the delay in sowing date. Field Crops Research, v. 198, n. 1, p. 215-225, 2016. DOI: https://doi.org/10.1016/j.fcr.2016.09.003
CARPENTIERI-PÍPOLO, C; SOUZA, A; SILVA, D. A; BARRETO, T. P; GARBUGLIO, D. D; FERREIRA, J. M. Avaliação de cultivares de milho crioulo em sistema de baixo nível tecnológico. Acta Scientiarum. Agronomy, v. 32, n. 2, p. 229-233, 2010. DOI: https://doi.org/10.4025/actasciagron.v32i2.430
CEDRIC, L. S; ADONI, W. Y. H; AWORKA, R; ZOUEU, J. T; MUTOMBO, F. K; KRICHEN, M; KIMPOLO, C. L. M. Crops yield prediction based on machine learning models: case of west african countries. Smart Agricultural Technology, v. 2, 100049, p. 1-14, 2022. DOI: https://doi.org/10.1016/j.atech.2022.100049
COELHO, A. E; SANGOI, L; BALBINOT JUNIOR, A. A; KUNESKI, H. F; MARTINS JÚNIOR, M. C. Nitrogen use efficiency and grain yield of corn hybrids as affected by nitrogen rates and sowing dates in subtropical environment. Revista Brasileira de Ciência do Solo, v. 46, e0210087, p. 1-21, 2022. DOI: https://doi.org/10.36783/18069657rbcs20210087
EMYGDIO, B. M; IGNACZAK, J. C; CARGNELUTTI FILHO, A. Potencial de rendimento de grãos de híbridos comerciais simples, triplos e duplos de milho. Revista Brasileira de Milho e Sorgo, v. 6, n. 1, p. 95-103, 2007. DOI: https://doi.org/10.18512/1980-6477/rbms.v6n1p95-103
FANCELLI, A. L; DOURADO NETO, D. Milho: manejo e produtividade. Piracicaba: ESALQ/USP, 2009. 181 p.
GE, J; XU, Y; ZHAO, M; ZHAN, M; CAO, C; CHEN, C; ZHOU, B. Effect of climatic conditions caused by seasons on maize yield, kernel filling and weight in entral China. Agronomy, v. 12, n. 8, p. 1-19, 2022. DOI: https://doi.org/10.3390/agronomy12081816
GUO, D; CHEN, C; LI, X; WANG, R; DING, Z; MA, W; WNAG, X; LI, C; ZHAO, M; LI, M; ZHOU, B. Adjusting sowing date improves the photosynthetic capacity and grain yield by optimizing temperature condition around flowering of summer maize in the North China Plain. Frontiers in Plant Science, v. 13, n. 1, p. 1-16, 2022. DOI: https://doi.org/10.3389/fpls.2022.934618
GUTTMAN, L. Some necessary conditions for common factor analysis. Psychometrika, [S.l.], v. 19, n. 2, p. 149-162, 1954. DOI: https://doi.org/10.1007/BF02289162
JEONG, J. H; RESOP, J. P; MUELLER, N. D; FLEISHER, D. H; YUN, K; BUTLER, E. E; TIMLIN, D. J; SHIM, K. M; GERBER, J. S; REDDY, V. R; KIM, S. H. Random forests for global and regional crop yield predictions. PloS One, v. 11, n. 6, e0156571, 2016. DOI: https://doi.org/10.1371/journal.pone.0156571
JOLLIFFE, I. T.; CADIMA, J. Principal component analysis: a review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, [S.l.], v. 374, p. 20150202, 2016. DOI: https://doi.org/10.1098/rsta.2015.0202
KAISER, H. F. The varimax criterion for analytic rotation in factor analysis. Psychometrika, [S.l.], v. 23, n. 3, p. 187-200. 1958. DOI: https://doi.org/10.1007/BF02289233
LIMA, R; BORÉM, A. Melhoramento de Milho. Minas Gerais: UFV, 2018, 396p.
MAURO, G. di; CIPRIOTTI, P. A; GALLO, S; ROTUNDO, J. L. Environmental and management variables explain soybean yield gap variability in Central Argentina. European Journal of Agronomy, [S.l.], v. 99, p. 186-194, 2018. DOI: https://doi.org/10.1016/j.eja.2018.04.012
MELO, A. V; SANTOS, V. M; VARANDA, M. A. F; CARDOSO, D. P; DIAS, M. A. R. Desempenho agronômico de genótipos de milho submetidos ao estresse hídrico no Sul do estado do Tocantins. Revista Brasileira de Sorgo e Milho, v. 17, n. 2, p. 177-189, 2018. DOI: https://doi.org/10.18512/1980-6477/rbms.v17n2p177-189
MILBORROW, S. _rpart.plot: Plot 'rpart' Models: an Enhanced Version of 'plot.rpart'_. R package version 3.1.1, 2022. <https://CRAN.R-project.org/package=rpart.plot>. Acesso em: 25/04/2023.
R CORE TEAM. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, 2023.
SAH, R. P; PRASAD, M; PANDIT, M; TUDU, V. K; CHAKRAVARTY, M. K; NARAYAN, S. C; RANA, M; MOHARANA, D. Impact of water deficit stress in maize: Phenology and yield components. Scientific Reports, v. 10, n. 2944, p. 1-15, 2020. DOI: https://doi.org/10.1038/s41598-020-59689-7
SANTOS, H. G; HACOMINE, P. K. T; ANJOS, L. H. C; OLIVEIRA, V. A; LUMBRERAS, J. F; COELHO, M. R; ALMEIDA, J. A; ARAUJO FILHO, J. C; OLIVEIRA, J. B; CUNHA, T. J. F. Sistema brasileiro de classificação de solos. 5. ed. Rio de Janeiro: Embrapa, 2018.
TAIZ, L.; ZEIGER, E.; MOLLER, I.M.; MURPHY, A. Fisiologia e desenvolvimento vegetal. 6ª ed., Porto Alegre: Artmed Editora, 2017. 858p.
THERNEAU, T.; ATKINSON, B. _rpart: Recursive Partitioning and Regression Trees_. R package version 4.1.19, 2022. <https://CRAN.R-project.org/package=rpart>.
VEENSTRA, R. L.; MESSINA, C. D.; BERNING, D.; HAAG, L. A.; CARTER, P.; HEFLEY, T. J.; PRASAD, P. V. V.; CIAMPITTI, I. A. Effect of tillers on corn yield: Exploring trait plasticity potential in unpredictable environments. Crop Science, [S.l.], v. 61, n. 1, p. 3660-3674, 2021. DOI: https://doi.org/10.1002/csc2.20576
ZHOU, B; YUE, Y; SUN, X; WANG, X; WANG, Z; MA, W; ZHAO, M. Maize Grain Yield and Dry Matter Production Responses to Variations in Weather Conditions. Agronomy Journal, v. 108, n. 1, p. 196-204, 2016. DOI: https://doi.org/10.2134/agronj2015.0196
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Ciência e Natura
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
To access the DECLARATION AND TRANSFER OF COPYRIGHT AUTHOR’S DECLARATION AND COPYRIGHT LICENSE click here.
Ethical Guidelines for Journal Publication
The Ciência e Natura journal is committed to ensuring ethics in publication and quality of articles.
Conformance to standards of ethical behavior is therefore expected of all parties involved: Authors, Editors, Reviewers, and the Publisher.
In particular,
Authors: Authors should present an objective discussion of the significance of research work as well as sufficient detail and references to permit others to replicate the experiments. Fraudulent or knowingly inaccurate statements constitute unethical behavior and are unacceptable. Review Articles should also be objective, comprehensive, and accurate accounts of the state of the art. The Authors should ensure that their work is entirely original works, and if the work and/or words of others have been used, this has been appropriately acknowledged. Plagiarism in all its forms constitutes unethical publishing behavior and is unacceptable. Submitting the same manuscript to more than one journal concurrently constitutes unethical publishing behavior and is unacceptable. Authors should not submit articles describing essentially the same research to more than one journal. The corresponding Author should ensure that there is a full consensus of all Co-authors in approving the final version of the paper and its submission for publication.
Editors: Editors should evaluate manuscripts exclusively on the basis of their academic merit. An Editor must not use unpublished information in the editor's own research without the express written consent of the Author. Editors should take reasonable responsive measures when ethical complaints have been presented concerning a submitted manuscript or published paper.
Reviewers: Any manuscripts received for review must be treated as confidential documents. Privileged information or ideas obtained through peer review must be kept confidential and not used for personal advantage. Reviewers should be conducted objectively, and observations should be formulated clearly with supporting arguments, so that Authors can use them for improving the paper. Any selected Reviewer who feels unqualified to review the research reported in a manuscript or knows that its prompt review will be impossible should notify the Editor and excuse himself from the review process. Reviewers should not consider manuscripts in which they have conflicts of interest resulting from competitive, collaborative, or other relationships or connections with any of the authors, companies, or institutions connected to the papers.
