Algorithms for forecasting cotton yield based on climatic parameters in Brazil

Aparecido, Lucas Eduardo de Oliveira; Meneses, Kamila Cunha de; Souza, Glauco Rolim de; Carvalho, Mary Jane Nunes; Pereira, Washington Bruno Silva; Silva, Paulo Alexandre da; Santos, Thaís da Cruz Alves dos; Moraes, José Reinaldo da Silva Cabral de

doi:10.1080/03650340.2020.1864821

Cited by 4 publications

(1 citation statement)

References 33 publications

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“…Pakistan is ranked fifth as a producer and third as an exporter of cotton [4]. India ranked fir st in production and export, followed by China and USA [5,6]. In Pakistan, the cotton industry is facing several problems during trading at the international level, such as competition for synthetic fiber, deprived fiber quality, and stumpy revenue primarily due to the outbreak of numerous lethal microbes.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Genetic Potential of Cotton Lines against Whitefly Tolerance

Hussain

Ahmad

Zubair

2022

AJBGMB

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Cotton (Gossypium hirsutism L.) is a primary source of natural fiber, fuel, wood, and oil worldwide and an essential raw material source for the textile industry. Whitefly (Bemisia tabaci) is one of the major pests distributed worldwide and has broad genetic diversity. In this research, the genetic diversity in the cotton germplasm was explored against the whitefly infestation. Broad sense heritability is a common approach used to detect the association and inheritance of the target trait. Maximum (PIC 0.96) and minimum (PIC 0.36) polymorphism was explored by the SSR primer NAU 988 and NAU 5121, respectively, with an average value of 0.73. Pair-wise genetic estimation ranged from 0.500 to 1.00. Neighbor-joining (NJ) tree, based on UPGMA (Unweighted pair group method with arithmetic), grouped the genotypes into six main clusters, i.e., A, B, C, D, E, and F. Maximum accessions fall into a single cluster showing low genetic diversity among them. The upland cotton accessions FH 326, SLH 07, FH18, and Cris 541, showed divergence from the rest of the genotypes and might have resistance against the whitefly attack. Our results also explain the utilization of the SSR markers to explore genetic diversity and its utilization in a cotton breeding program.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Genetic Potential of Cotton Lines against Whitefly Tolerance

Hussain

Ahmad

Zubair

2022

AJBGMB

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Forecasting El Niño and La Niña events using decision tree classifier

Silva

Rolim

Aparecido

2022

Theor Appl Climatol

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Statistical analysis and forecasting of cotton yield dynamics in Kashkadarya region of Republic of Uzbekistan

Ruzmetov,

Faiziev,

Murodov

et al. 2023

E3S Web of Conf.

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There are phenomena that are significant to research because of how they grow and change through time in practically every discipline. One could attempt to direct a process, forecast the future using knowledge of the past, or characterize the distinctive aspects of a series using a finite quantity of information. The techniques used to handle time series are heavily influenced by the techniques created by mathematical statistics for distribution series. The most basic to the most complicated time series analysis techniques exist in statistics today. The article discusses the statistical analysis of a time series, specifically the average yield of cotton in the Kashkadarya region, Uzbekistan, and the Republics, using data from the Central Statistical Office of Uzbekistan from 2001 to 2020. The study involved constructing point and interval estimates for the average cotton yield with a 95% guarantee, identifying different types of trends, and predicting future yields for the region. Through the use of the Durbin-Watson statistical criteria, it was discovered that there is an autocorrelation dependence in the average cotton yield, indicating that the yield for the current year is dependent on yields from past years. The methods used in this study can be applied to further research conducted by students and scientists.

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Algorithms for forecasting cotton yield based on climatic parameters in Brazil

Cited by 4 publications

References 33 publications

Evaluation of Genetic Potential of Cotton Lines against Whitefly Tolerance

Evaluation of Genetic Potential of Cotton Lines against Whitefly Tolerance

Forecasting El Niño and La Niña events using decision tree classifier

Statistical analysis and forecasting of cotton yield dynamics in Kashkadarya region of Republic of Uzbekistan

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