The Effects of Different Nitrogen Application and Seeding Rates on the Yield and Growth Traits of Direct Seeded Rice (Oryza Sativa L.) Using Correlation Analysis

Tang, Jinyu; Chen, Q.H.; Hao, Ruiqi; Li, Z.X.; Lu, Bianhe

doi:10.15666/aeer/1901_667681

Cited by 4 publications

(1 citation statement)

References 21 publications

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“…Wu and Bao (2012), Hou et al (2014) and Ren et al (2018) analyzed the degree of incidence between various traits of several winter wheat varieties (lines) and their yield to find the crop traits that had the greatest impact on yield. Tang et al (2021) analyzed the incidence effect of growth traits on direct seeding rice yield under different nitrogen application rates and seeding rates. Lv et al (2021) used grey incidence analysis to evaluate the main agronomic characters affecting sesame yield.…”

Section: Literature Review Of the Application On Grey Model Technolog...mentioning

confidence: 99%

Application progress of grey model technology in agricultural science

Zhang

et al. 2022

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PurposeGrey modeling technique is an important element of grey system theory, and academic articles applied to agricultural science research have been published since 1985, proving the broad applicability and effectiveness of the technique from different aspects and providing a new means to solve agricultural science problems. The analysis of the connotation and trend of the application of grey modeling technique in agricultural science research contributes to the enrichment of grey technique and the development of agricultural science in multiple dimensions.Design/methodology/approachBased on the relevant literature selected from China National Knowledge Infrastructure, the Web of Science, SpiScholar and other databases in the past 37 years (1985–2021), this paper firstly applied the bibliometric method to quantitatively visualize and systematically analyze the trend of publication, productive author, productive institution, and highly cited literature. Then, the literature is combed by the application of different grey modeling techniques in agricultural science research, and the literature research progress is systematically analyzed.FindingsThe results show that grey model technology has broad prospects in the field of agricultural science research. Agricultural universities and research institutes are the main research forces in the application of grey model technology in agricultural science research, and have certain inheritance. The application of grey model technology in agricultural science research has wide applicability and precise practicability.Originality/valueBy analyzing and summarizing the application trend of grey model technology in agricultural science research, the research hotspot, research frontier and valuable research directions of grey model technology in agricultural science research can be more clearly grasped.

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Section: Literature Review Of the Application On Grey Model Technolog...mentioning

confidence: 99%

Application progress of grey model technology in agricultural science

Zhang

et al. 2022

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Nitrogen fertiliser only increases leaf area in the lower crown of mid-rotation Eucalyptus nitens plantations

Brinkhoff

Mendham

Hunt

et al. 2022

Forest Ecology and Management

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Canonical Correlations Between Morphological and Production Traits in Special Types of Rice

et al. 2022

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The rich genetic diversity and wide adaptation of rice (Oryza sativa L.) to different environments provide fundamental resources for its conservation and improvement. The analysis of canonical correlations can be used to increase the efficiency of selecting superior genotypes, as several traits are evaluated simultaneously. Thus, this study aimed to compare morphoagronomic traits and estimate the magnitude of the association and interdependence between two groups of traits in genotypes of special types of rice. The experiment was carried out between November 2020 and April 2021 at the Department of Plant Science of the Federal Rural University of Rio de Janeiro (UFRRJ), Seropédica - RJ. The experimental design consisted of randomized blocks, with four replications. Seventeen genotypes were evaluated, five of them consisting of white rice and eleven special types of rice. Two groups of variables were used to determine the canonical correlations, with group I composed of four morphological traits and group II composed of four yield components. Significant differences (P<0.01) were observed between genotypes for the eight evaluated traits. The first, second, and third pairs showed significant canonical correlations at a 5% probability, demonstrating that these groups are not independent. The selection of superior genotypes for production can be based on choosing plants with higher flag leaf thickness, higher height, and lower flag leaf angle.

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The Effects of Different Nitrogen Application and Seeding Rates on the Yield and Growth Traits of Direct Seeded Rice (Oryza Sativa L.) Using Correlation Analysis

Cited by 4 publications

References 21 publications

Application progress of grey model technology in agricultural science

Application progress of grey model technology in agricultural science

Nitrogen fertiliser only increases leaf area in the lower crown of mid-rotation Eucalyptus nitens plantations

Canonical Correlations Between Morphological and Production Traits in Special Types of Rice

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