Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate

Fasil Shimels Gebreyohannis

doi:doi:10.11648/j.jps.20210906.11

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Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate

Fasil Shimels Gebreyohannis

Published in Journal of Plant Sciences (Volume 9, Issue 6)

Received: 14 October 2021 Accepted: 5 November 2021 Published: 10 November 2021

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Abstract

The production and productivity of barley primary determined from the status its growth, phonological and agronomical parameters. But the direct and indirect effect of parameters as well as high its association with yield can’t determine until correlation and regression was done. Therefore a field experiment was conducted on two different site of lemu bilbilo wereda from July- December 2018/2019 cropping season to study Agronomical evaluation of three malt barley varieties using correlation and Regression analysis under different nitrogen fertilizer rate. The experiment was laydown in split plot design nitrogen fertilizer as main plot and Varity as sub plot with in three replication. The treatments were five n fertilizer rate (11.5, 23, 34.5, 46 and 57.5) kg/ha as main plot and three malt barley varieties as sub plot factor and two site (Lemu burkitu and Bekoji negeso) kebele. The result showed that exept germination energy at Bekoji negeso and spike length at Lemu burkitu all parameters had significantly and positively correlated with grain yield. In addition to this spike / 50 cm had significantly and positively correlated with grain protein content, number of productive tillers per plant and plant height at both locations.

Published in	Journal of Plant Sciences (Volume 9, Issue 6)
DOI	10.11648/j.jps.20210906.11
Page(s)	276-279
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Fertilizer Rate, Malt Barley, Varieties, Nitrogen, Correlation

References

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[2]	Agricultural Transformation Agency (ATA). 2012. The business case for investing in a malting plant in Ethiopia.
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[4]	Atlas of Arsi Zone. 2002. Regional state of Oromia: Arsi zone planning and economic development office and rural development project for Arsi and Bale. Arsi, Addis Ababa.
[5]	B. Mulatu and B. Lakew, Barley Research and Development in Ethiopia–An Overview, p. 1, ICARDA, Beirut, Lebanon, 2011.
[6]	Bishaw. Z, Struik. P. C, and Van Gastel. A. J, “Assessment of on-farm diversity of wheat varieties and landraces: evidence from farmers’ fields in Ethiopia,” African Journal of Agricultural Research, vol. 9, no. 39, pp. 2948–2963, 2014.
[7]	Bizuneh. W. F, and Abebe. D. A, “Malt barley (Hordeum distichon L.) varieties performance evaluation in North Shewa, Ethiopia,” African Journal of Agricultural Research, vol. 14, no. 8, pp. 503–508, 2019.
[8]	Central Statistical Agency (CSA), Agricultural Sample Survey, Report on Area and Production of Major Crops, CSA, Addis Ababa, Ethiopia, 2019.
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[10]	Food and Agricultural Organization (FAO) (2004). Fertilizers and Their Use 4th ed. International Fertilizer Industry Association, FAO, Rome, Italy.
[11]	Fox G. P., Panozzo J. F., Li C. D., Lance R. C. M., Inkerman P. A. & Henry R. J. 2003. Molecular basis of barley quality. Australian Journal of Agricultural Research, 54: 1081–1101.
[12]	Giraldo. P, Benavente. E, Manzano-Agugliaro. F and Gimenez. E, “Worldwide research trends on wheat and barley: a bibliometric comparative analysis,” Agronomy, vol. 9, no. 7, p. 352, 2019.
[13]	Pettersson CG (2007): Predicting Malting Barley Protein Concentration based on canopy reflectance and site characteristics. [PhD. Thesis]. Swedish University of Agricultural Sciences. SE-750 07 Uppsala, Sweden.
[14]	Shahidur Rashid, Gashaw Abate, Solomon Lemma, James Warner, Leulsegged Kasa. & Nicholas Minot. 2015. Barley value chain in Ethiopia: Research for Ethiopia‟s Agriculture Policy (REAP): Support for the Agricultural Transformation Agency (ATA).
[15]	Taye Bekele, Yesuf Assen, Sahlemedhin Sertsu, Amanuel Gorfu, Mohammed Hassena, Tanner D. G., Tesfaye Tesemma, and Takele Gebre. 2002. Optimizing fertilizer use in Ethiopia: Correlation of soil analysis with fertilizer response in Hetosa Wereda, Arsi Zone. Addis Ababa: Sasakawa-Global 2000.
[16]	United States Department of Agriculture (USDA). 2017. World Agricultural Production U.S. Department of Agriculture Foreign Agricultural Service / Office of Global Analysis International Production Assessment Division (IPAD) Ag Box 1051, Room 4630, South Building Washington, DC 20250-105.
[17]	USDA (United States Department of Agriculture). 2017. Ethiopia Grain and Feed Annual Report. Global Agricultural Information Network (grain) Report ET-1503. Foreign Agricultural Service, USDA, Washington, DC. Retrieved July 22, 2017, from http://www.fas.usda.gov/data/ethiopia-grain-and feed-annua.
[18]	Wakene N., G. Fite, D. Abdena and D. Berhanu. (2007). Integrated use of organic and inorganic fertilizers for Maize production. Utilization of diversity in land use systems: Sustainable and organic approaches to meet human needs. Tropenta 2007. https://pdfs.semantic scholar.org/366e/2b755a0f599a3eac09bbb781bef 6004105d3.pdf.

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Fasil Shimels Gebreyohannis. (2021). Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate. Journal of Plant Sciences, 9(6), 276-279. https://doi.org/10.11648/j.jps.20210906.11

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ACS Style

Fasil Shimels Gebreyohannis. Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate. J. Plant Sci. 2021, 9(6), 276-279. doi: 10.11648/j.jps.20210906.11

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AMA Style

Fasil Shimels Gebreyohannis. Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate. J Plant Sci. 2021;9(6):276-279. doi: 10.11648/j.jps.20210906.11

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@article{10.11648/j.jps.20210906.11,
  author = {Fasil Shimels Gebreyohannis},
  title = {Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate},
  journal = {Journal of Plant Sciences},
  volume = {9},
  number = {6},
  pages = {276-279},
  doi = {10.11648/j.jps.20210906.11},
  url = {https://doi.org/10.11648/j.jps.20210906.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20210906.11},
  abstract = {The production and productivity of barley primary determined from the status its growth, phonological and agronomical parameters. But the direct and indirect effect of parameters as well as high its association with yield can’t determine until correlation and regression was done. Therefore a field experiment was conducted on two different site of lemu bilbilo wereda from July- December 2018/2019 cropping season to study Agronomical evaluation of three malt barley varieties using correlation and Regression analysis under different nitrogen fertilizer rate. The experiment was laydown in split plot design nitrogen fertilizer as main plot and Varity as sub plot with in three replication. The treatments were five n fertilizer rate (11.5, 23, 34.5, 46 and 57.5) kg/ha as main plot and three malt barley varieties as sub plot factor and two site (Lemu burkitu and Bekoji negeso) kebele. The result showed that exept germination energy at Bekoji negeso and spike length at Lemu burkitu all parameters had significantly and positively correlated with grain yield. In addition to this spike / 50 cm had significantly and positively correlated with grain protein content, number of productive tillers per plant and plant height at both locations.},
 year = {2021}
}

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TY  - JOUR
T1  - Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate
AU  - Fasil Shimels Gebreyohannis
Y1  - 2021/11/10
PY  - 2021
N1  - https://doi.org/10.11648/j.jps.20210906.11
DO  - 10.11648/j.jps.20210906.11
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 276
EP  - 279
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20210906.11
AB  - The production and productivity of barley primary determined from the status its growth, phonological and agronomical parameters. But the direct and indirect effect of parameters as well as high its association with yield can’t determine until correlation and regression was done. Therefore a field experiment was conducted on two different site of lemu bilbilo wereda from July- December 2018/2019 cropping season to study Agronomical evaluation of three malt barley varieties using correlation and Regression analysis under different nitrogen fertilizer rate. The experiment was laydown in split plot design nitrogen fertilizer as main plot and Varity as sub plot with in three replication. The treatments were five n fertilizer rate (11.5, 23, 34.5, 46 and 57.5) kg/ha as main plot and three malt barley varieties as sub plot factor and two site (Lemu burkitu and Bekoji negeso) kebele. The result showed that exept germination energy at Bekoji negeso and spike length at Lemu burkitu all parameters had significantly and positively correlated with grain yield. In addition to this spike / 50 cm had significantly and positively correlated with grain protein content, number of productive tillers per plant and plant height at both locations.
VL  - 9
IS  - 6
ER  -

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Author Information

Fasil Shimels Gebreyohannis

Kulumsa Agricultural Research Center, Ethiopian Institute of Agricultural Research, Asella, Ethiopia

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APA Style

Fasil Shimels Gebreyohannis. (2021). Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate. Journal of Plant Sciences, 9(6), 276-279. https://doi.org/10.11648/j.jps.20210906.11

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ACS Style

Fasil Shimels Gebreyohannis. Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate. J. Plant Sci. 2021, 9(6), 276-279. doi: 10.11648/j.jps.20210906.11

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AMA Style

Fasil Shimels Gebreyohannis. Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate. J Plant Sci. 2021;9(6):276-279. doi: 10.11648/j.jps.20210906.11

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@article{10.11648/j.jps.20210906.11,
  author = {Fasil Shimels Gebreyohannis},
  title = {Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate},
  journal = {Journal of Plant Sciences},
  volume = {9},
  number = {6},
  pages = {276-279},
  doi = {10.11648/j.jps.20210906.11},
  url = {https://doi.org/10.11648/j.jps.20210906.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jps.20210906.11},
  abstract = {The production and productivity of barley primary determined from the status its growth, phonological and agronomical parameters. But the direct and indirect effect of parameters as well as high its association with yield can’t determine until correlation and regression was done. Therefore a field experiment was conducted on two different site of lemu bilbilo wereda from July- December 2018/2019 cropping season to study Agronomical evaluation of three malt barley varieties using correlation and Regression analysis under different nitrogen fertilizer rate. The experiment was laydown in split plot design nitrogen fertilizer as main plot and Varity as sub plot with in three replication. The treatments were five n fertilizer rate (11.5, 23, 34.5, 46 and 57.5) kg/ha as main plot and three malt barley varieties as sub plot factor and two site (Lemu burkitu and Bekoji negeso) kebele. The result showed that exept germination energy at Bekoji negeso and spike length at Lemu burkitu all parameters had significantly and positively correlated with grain yield. In addition to this spike / 50 cm had significantly and positively correlated with grain protein content, number of productive tillers per plant and plant height at both locations.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Agronomical Evaluation of Three Malt Barley Varieties Using Correlation and Regression Analysis Under Different Nitrogen Fertilizer Rate
AU  - Fasil Shimels Gebreyohannis
Y1  - 2021/11/10
PY  - 2021
N1  - https://doi.org/10.11648/j.jps.20210906.11
DO  - 10.11648/j.jps.20210906.11
T2  - Journal of Plant Sciences
JF  - Journal of Plant Sciences
JO  - Journal of Plant Sciences
SP  - 276
EP  - 279
PB  - Science Publishing Group
SN  - 2331-0731
UR  - https://doi.org/10.11648/j.jps.20210906.11
AB  - The production and productivity of barley primary determined from the status its growth, phonological and agronomical parameters. But the direct and indirect effect of parameters as well as high its association with yield can’t determine until correlation and regression was done. Therefore a field experiment was conducted on two different site of lemu bilbilo wereda from July- December 2018/2019 cropping season to study Agronomical evaluation of three malt barley varieties using correlation and Regression analysis under different nitrogen fertilizer rate. The experiment was laydown in split plot design nitrogen fertilizer as main plot and Varity as sub plot with in three replication. The treatments were five n fertilizer rate (11.5, 23, 34.5, 46 and 57.5) kg/ha as main plot and three malt barley varieties as sub plot factor and two site (Lemu burkitu and Bekoji negeso) kebele. The result showed that exept germination energy at Bekoji negeso and spike length at Lemu burkitu all parameters had significantly and positively correlated with grain yield. In addition to this spike / 50 cm had significantly and positively correlated with grain protein content, number of productive tillers per plant and plant height at both locations.
VL  - 9
IS  - 6
ER  -

Copy | Download