Evaluation of Moving Averages on Stability Studies of Olive (Olea Europaea L.)

Abstract Background & Objective: This study was conducted to investigate the effect of moving averages, olive yield, elimination of Biennial bearing effect and data purification to study yield stability of some olive genotypes.   Materials & Methods: For this purpose, 100 genotypes and culti...

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Main Authors: Amir Abbas Taghizadeh, Ali Asghar Zeinanloo, Roghayeh Aminian Dehkordi
Format: Article
Language:fas
Published: University of Tabriz 2020-11-01
Series:Journal of Agricultural Science and Sustainable Production
Subjects:
Online Access:https://sustainagriculture.tabrizu.ac.ir/article_11451_b43d15d5e60c4db20fcdfef836fa2f02.pdf
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spelling doaj-e330f33866eb421fb888b3a498dd2a5c2021-04-06T09:41:19ZfasUniversity of TabrizJournal of Agricultural Science and Sustainable Production2476-43102476-43292020-11-0130329530911451Evaluation of Moving Averages on Stability Studies of Olive (Olea Europaea L.)Amir Abbas Taghizadeh0Ali Asghar Zeinanloo1Roghayeh Aminian Dehkordi2گروه ژنتیک و به‌نژادی‌گیاهی، دانشکده‌ی کشاورزی، دانشگاه بین‌المللی امام خمینی(ره)، قزوین، ایرانپژوهشکده میوه‌های معتدله و سردسیری، موسسه تحقیقات علوم باغبانی، سازمان تحقیقات، آموزش و ترویج کشاورزی، کرج، ایرانگروه ژنتیک و به‌نژادی‌گیاهی، دانشکده‌ی کشاورزی، دانشگاه بین‌المللی امام خمینی(ره)، قزوین، ایرانAbstract Background & Objective: This study was conducted to investigate the effect of moving averages, olive yield, elimination of Biennial bearing effect and data purification to study yield stability of some olive genotypes.   Materials & Methods: For this purpose, 100 genotypes and cultivars during 6 years, from 1391 to 96, were planted at Tarom Research Station in Zanjan province. This experiment was performed based in a randomized complete block design (RCBD) with three replications. After collecting performance data based on kilogram / tree, in order to correct the data and eliminate the noise caused by the Biennial bearing effect of annoying, data analysis was performed based on the original and corrected data, respectively.   Results: The results showed that the environmental component of the total variance for the corrected data decreased from 35.74% to 19.61%. Also, the heritability component increased from 15.02 to 38.51%. The paired t-test for the pair of corresponding years confirmed the significant difference between the mean and the corrected mean data. Using genotypic variation coefficient and mean yield, it was determined that at least three genotypes 'NO7', 'KHBA' and ' MANZANILLA' of state change are in stability. Also, with respect to eight other computational stability parameters, in most cases, genotypes were ranked with rank change   Conclusion: Finally, it was determined that interfering with or eliminating the Biennial bearing effects can significantly affect the selection of stable genotypes. According the importance of eliminating the effects of Biennial bearing during the study period, it is necessary to apply the calculations on genetic material to the corrected data to determine the truth of the genetic potential of genotypes to show true and heritability compatibility.https://sustainagriculture.tabrizu.ac.ir/article_11451_b43d15d5e60c4db20fcdfef836fa2f02.pdfcoefficient of variation genotypecombined analysisdata correctiongenotype-environment interactionstability parameters
collection DOAJ
language fas
format Article
sources DOAJ
author Amir Abbas Taghizadeh
Ali Asghar Zeinanloo
Roghayeh Aminian Dehkordi
spellingShingle Amir Abbas Taghizadeh
Ali Asghar Zeinanloo
Roghayeh Aminian Dehkordi
Evaluation of Moving Averages on Stability Studies of Olive (Olea Europaea L.)
Journal of Agricultural Science and Sustainable Production
coefficient of variation genotype
combined analysis
data correction
genotype-environment interaction
stability parameters
author_facet Amir Abbas Taghizadeh
Ali Asghar Zeinanloo
Roghayeh Aminian Dehkordi
author_sort Amir Abbas Taghizadeh
title Evaluation of Moving Averages on Stability Studies of Olive (Olea Europaea L.)
title_short Evaluation of Moving Averages on Stability Studies of Olive (Olea Europaea L.)
title_full Evaluation of Moving Averages on Stability Studies of Olive (Olea Europaea L.)
title_fullStr Evaluation of Moving Averages on Stability Studies of Olive (Olea Europaea L.)
title_full_unstemmed Evaluation of Moving Averages on Stability Studies of Olive (Olea Europaea L.)
title_sort evaluation of moving averages on stability studies of olive (olea europaea l.)
publisher University of Tabriz
series Journal of Agricultural Science and Sustainable Production
issn 2476-4310
2476-4329
publishDate 2020-11-01
description Abstract Background & Objective: This study was conducted to investigate the effect of moving averages, olive yield, elimination of Biennial bearing effect and data purification to study yield stability of some olive genotypes.   Materials & Methods: For this purpose, 100 genotypes and cultivars during 6 years, from 1391 to 96, were planted at Tarom Research Station in Zanjan province. This experiment was performed based in a randomized complete block design (RCBD) with three replications. After collecting performance data based on kilogram / tree, in order to correct the data and eliminate the noise caused by the Biennial bearing effect of annoying, data analysis was performed based on the original and corrected data, respectively.   Results: The results showed that the environmental component of the total variance for the corrected data decreased from 35.74% to 19.61%. Also, the heritability component increased from 15.02 to 38.51%. The paired t-test for the pair of corresponding years confirmed the significant difference between the mean and the corrected mean data. Using genotypic variation coefficient and mean yield, it was determined that at least three genotypes 'NO7', 'KHBA' and ' MANZANILLA' of state change are in stability. Also, with respect to eight other computational stability parameters, in most cases, genotypes were ranked with rank change   Conclusion: Finally, it was determined that interfering with or eliminating the Biennial bearing effects can significantly affect the selection of stable genotypes. According the importance of eliminating the effects of Biennial bearing during the study period, it is necessary to apply the calculations on genetic material to the corrected data to determine the truth of the genetic potential of genotypes to show true and heritability compatibility.
topic coefficient of variation genotype
combined analysis
data correction
genotype-environment interaction
stability parameters
url https://sustainagriculture.tabrizu.ac.ir/article_11451_b43d15d5e60c4db20fcdfef836fa2f02.pdf
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